#node interview questions

[codeonedigest]

Master Google Cloud: Deploying Node JS APIs on VM

Full Video Link - https://youtu.be/gxZ-iJNCbAM Check out this new video on the CodeOneDigest YouTube channel! Learn how to create Virtual Machine in Google Cloud Platform, Setup Google Compute Engine VM & Deploy run JS APIs in VM. #codeonedigest

In this tutorial, we will create & setup Google Compute Engine Virtual Machine in Google Cloud Platform. We will be deploying & running javascript APIs in google compute engine virtual machine. We will be opening firewall port for incoming API request in VM. We will also learn how to deploy API code and run API service in google compute engine virtual machine. I will provide step by step guide to…

[psychopomp-namine]

YE6's butterfly effect. AKA: how did vein "die"?

I'm trying to puzzle out the butterfly effect in YE6, and here is my interpretation so far. if this theory is correct, it would also answer the question of who has the faking death ability and what exactly was liu xiao doing during the whole arc.

of course, feel free to correct me if I got this wrong. I could be missing some key information. I'm just writing this in an attempt to figure it out myself. also, this is gonna be a long post, sorry.

a lot of people are speculating that lu guang directly killed vein somehow through an ability, but I don't think that's what actually happened (although I wish that was the case). I also don't think the situation is as simple as "lu guang wanted vein dead" because I also think that liu xiao is interfering with the same events. there are two puppeteers in YE6, imho.

let's start with lu guang. for one thing, we know he can't directly kill vein with any of the abilities he has, since both scanning 12 hours of photo history and diving into the past require, well, a photo, which lu guang did not have. yingdu even stressed the rules of how both abilities work. if lu guang directly killed vein through ability use, this would imply he has another ability up his sleeve, and I really don't think we've been given enough evidence that points to that. if he always had this ability, why hasn't he used it before on vein in other timelines?

remember that yingdu has a lot of visual metaphors in its storytelling compared to other seasons. I believe lu guang caused the chain of events to happen in such a way that vein would die, but he was not the one to kill him, and that's why there's the animation of him orchestrating vein's death through wang qing, like a ventriloquist would control a puppet. in fact, I would go even further: lu guang and wang qing never got the chance to kill vein, although lu guang certainly thinks he did. we will circle back to this under the cut later, once we've built up the evidence to reach this conclusion.

another thing is the info we learned from an interview with director li. it is unfortunate, imo, that we had to learn this through an interview and not from the show itself (I feel this is yingdu's biggest writing flaw), but whatever. here are the key points to know though:

vein doesn't have an ability during yingdu arc

liu xiao has more than one ability (we know one of them already, which is interestingly enough, heartbeat related)

(not from the interview, but hinted in the show) someone has a "faking death" ability

before we go into the butterfly effect and how vein died, let's go over the details of his death:

from the autopsy report: vein's cause of death is myocardial infarction. aka a heart attack

xia fei later says there were no external injuries and no signs of poison

also, tiny detail, but vein was holding something like a tranquilizer gun in the clinic. the "bullets" he fired on both wang qing and cheng xiaoshi were meant to put them to sleep, not to kill them.

finally, let's lay out some character motivations. this will be important later.

liu xiao wants to get the notebook that belonged to cheng weimin. vein is working with him on this.

lu guang wants to avoid cheng xiaoshi's death node, and he plans to do it by killing vein

now, for the analysis. how did vein "die"?

let's establish something first. since xia fei doesn't know what happened to vein and is looking for the true culprit, we can rule out his involvement. he probably doesn't have the faking death ability, since it was used on vein. and vein doesn't have an ability. so the most likely person to have this ability would be liu xiao. he is also most likely the one to open the body bag with vein in it.

so we can now assume that liu xiao has two abilities:

he can sense someone's emotions and intentions through hearing their heartbeats

he can "fake death" (it is unclear how this works)

well. what an interesting combination! let's put a pin on that for now. remember this for later.

okay. now. let's switch over to lu guang. the big important question here is this: how did lu guang know that delaying vein from entering the clinic would lead to his death through a butterfly effect?

for full context, let's look at what lu guang says in his conversation with vein (I'm using ani-mi's translation, but I watched the bilibili one first and there aren't any drastic changes imo):

do you know the butterfly effect? in a dynamic system, event the smallest changes in initial conditions can lead to vastly different outcomes. I've been wondering, how do you alter a destined ending? what would happen if, before the conclusion, we added another fixed point? another unchangeable node? instead of avoiding deviations, why not let it deviate completely? I know I can't stop you. but I can make you stay a bit longer. now, you can go in.

two things here. first, the mention of an unchangeable node. aka a death node. lu guang for sure wanted vein to die. because if vein dies first, he can't kill cheng xiaoshi. simple logic; great plan.

next, from this speech, we can infer that lu guang planned to create a small change (a butterfly effect) that will lead to a big consequence (vein's death).

it's the second part that should clue us in. he said, "I can make you stay a bit longer. now, you can go in." he knows he can't stop vein from entering the clinic. but he can stall him. he can add a small bit of delay, long enough that it actually matters that vein went into the clinic later than usual.

lu guang knows the effect he wants (vein's death) so how does he know what event (stalling him) would cause the domino effect that leads to it? why does that small delay matter?

let's look at what that extra bit of time actually changed. by delaying vein, another important event happens: cheng xiaoshi has extra time with wang qing, long enough for him to meet his mom, shao yuanyuan. cheng xiaoshi then learns that shao yuanyuan is trying to save cheng weimin. he promises to wait for them and to stop investigating. it is after he makes this promise that vein enters.

we can now infer one more thing here: cheng xiaoshi did not meet his mom through wang qing in the original order of events. this event only happens because lu guang stalled vein.

most likely, in the original order of events, vein incapacitated wang qing too early for her to do anything to him. we don't know what her ability is, but it doesn't matter for this post. all we need to know is that lu guang believes wang qing could kill vein if she was never put to sleep. that is the point of stalling vein from entering the clinic early.

so here's part one of my theory. from lu guang's perspective, this is the plan to kill vein:

stall vein from entering the clinic

because vein entered late, wang qing was possessed by someone with better fighting abilities, allowing her to hold out during the fight

she is then freed from possession, and is still awake when vein tries to leave with the notebook

I don't think we have enough information to really explain what happens next, but what's supposed to happen, imo, is that wang qing kills vein, either through her own ability or someone else uses her to do it. it doesn't really matter how, but this is what is supposed to happen. this is what lu guang wanted to happen. for the sake of this post, we will assume wang qing has an ability to kill vein

vein dies, therefore he can't go to the time photo studio in the future to kill cheng xiaoshi

that's lu guang's butterfly effect. stall vein -> vein dies -> cheng xiaoshi lives.

simple? not quite. I did mention there's another person interfering with these events.

everything I mentioned above is from lu guang's perspective, and that this is what's supposed to happen. but let's look at the actual order of events.

wang qing wakes up (is freed from possession), notices the notebook on vein, and calls his name (interesting point: she knows his full chinese name). at this point, her eyes have NOT changed color yet.

vein gets a heart attack

only after that does wang qing's eyes change color

we know that changing eye colors is not diegetic, meaning this is more for the audience's benefit. their eyes don't really change color in-universe. sometimes they don't even show us eye colors changing. but when they do show us, we have to pay attention.

therefore, I believe that the timing of the shift in eye color matters.

so here's part two of my theory. liu xiao knew lu guang is going to interfere, so he already arranged a "fake death" for vein in advance (which he doesn't tell vein about lmao, but he seems to have figured it out when he gets the heart attack)

this is how, I believe, yingdu happened from liu xiao's perspective:

he wants cheng weimin's notebook. wang qing has it, but would never give it to him. but she might for cheng weimin's son

he baits cheng xiaoshi into going to bridon

he heard lu guang's heartbeat in the airport, which tipped him off that he's someone he should watch out for

he confirmed that cheng xiaoshi and lu guang are investigating cheng weimin

he assigns xia fei to keep an eye on their progress

he planned to use cheng xiaoshi to bait wang qing into giving up information about the notebook. this is why when xia fei told him that cheng xiaoshi was about to meet her, liu xiao reacts like this is the expected outcome

he assigns vein to get the notebook because wang qing is about to reveal the location. but he also knows that lu guang is kinda shady, so when lu guang stalls vein (and tells him! bro don't tell your plans to your victims! don't tell him you're trying to make a butterfly effect!), liu xiao either just knew this would happen or vein tipped him off before going in

now, notice that vein gets a heart attack before wang qing uses an ability (or is used, whatever) to kill vein. and what have we established before at the beginning of this post? liu xiao has a heartbeat related ability and can fake a death. we don't know the mechanics of the second ability, but we know that compatible abilities can combo with each other. it's not far-fetched to think that liu xiao can fake death with a heart attack

later, we see vein wake up after someone (most likely liu xiao) opens his body bag

so now who's fooled? the police arrives and even does an autopsy. they declare vein dead. lu guang is relieved, and for years he believes this. vein doesn't even visit the studio in 2021 (though li tianchen does, through liu min, but that's neither here nor there). he avoided a death node by creating another one. we can let him believe this lie for a little while...

TL;DR lu guang created a butterfly effect by stalling vein, and that creates a domino effect that should have led to vein's death. except he's not the only one interfering with the timeline. while this is happening, liu xiao orchestrates a fake death for vein before his supposed death actually happens, allowing him to act dead during the autopsy and "revive" later

EDIT: this post was written before the interview translation came out, though I don't think this it contradicts anything here; if anything, this post is in line with the interview.

if you're interested, additional thoughts on vein's death can be found in the following links:

reblog of this post: the fake death ability might be wang qing's, or an effect of a combination of wang qing and liu xiao's ability. I posit in this post that I think liu xiao has the ability; in hindsight, it probably relates to wang qing, though I still think that the "heart attack" is related to liu xiao

thematic analysis (as opposed to plot analysis) on vein's death. I am a huge believer that link click is best analyzed through themes than plot tbh

additional thoughts on lu guang's characterization throughout all of this

[horse-girl-anthy]

when writing about Ikuhara, I use the word "system" freely. Ikuhara uses it himself in interviews, so it's not like the word isn't applicable. however, I think it can be easy to use the phrase without examining what it actually means.

"systems" in Ikuhara are metaphorical. they're not like systems in the real world. they're actually more perfect and distilled; rather than try to replicate reality with fiction, Ikuhara works create closed worlds which follow very particular forms of logic. by doing this, they can reflect on the structures systems take and reveal the absurd nature of human society through the use of surrealism.

I use the word "systems" in a way which makes it sound like I'm calling them bad. often I think they are things to be resisted. however, one thing that Ikuhara works capture about systems is that they're not concepts--they're not hypothetical. there is no "system" floating off in space to oppose. there are only the individuals who make up the system. should every human being disappear from the planet, there would no longer be any "system" to speak of. a social system is like an electrical system, made up of small parts which connect to each other. therefore, everyone is implicated in the system, everyone is involved in enforcing the system. to call it "bad" is to try to separate yourself from it, which is impossible to do.

or is it? that's a fundamental question, I think. once we recognize that the social organism, of which we are a cell, is dying, what can we do about it? can we cut ourselves out of it and live free of the cancer infecting the rest of the body? or to use a different metaphor, can we reroute the electrical circuit so that if functions properly? it seems that our only options are conformity, self-exile, or revolution.

Ikuhara works hold in mind that systems can change, but also emphasize that they will always be a problem. the moment people join together, they begin to create systems, so no matter what the time and place, there will always be some kind of tension between individual and society. there will never be an end to conflict, but that is not cause for conformity, only for vigilance. however, vigilance is not the same thing as complete rejection. to affect the system, one must engage in it somehow. to say that a system is "bad" is to deny that it is a living thing. thus, the revolution in RGU occurs due to the characters' engagement with the system.

revolution--change to the structure of systems--is possible. however, I there is an element of self-exile to Ikuhara works as well. should revolution be beyond us, conformity is still not the answer. the individual is the basic node of the system. if that node refuses to function or causes a jam in the machine, that also has an effect. it may not change the structure of things, but it does put a stop to the system for a while.

self-exile in Ikuhara works is often represented by death: Anthy falling from the heavens, Utena's impalement on the swords of hate, etc. they are "dying to the system" and becoming individuals. this does not mean that they exist without relation to others. rather, they are now able to relate directly to others without mediation from any system.

[rosinastrology]

Kylie Jenner - Chart Analysis

My observations and interpretation of her chart:

Sun in Leo, Moon in Scorpio, Capricorn Rising

Leo Sun: She is a star. In her own way. 

Capricorn Rising: Gives her a(n) entrepreneurial and serious look.

Venus in 8th house: Love could feel like it’s hard to find. She may find foreigners appealing for dating. Virgo Venus can indicate someone who is picky with who she decides to date or even fall in love with. She values health and Mercury feels at home in Virgo. Her mind is well grounded, however, having Venus conjunct Mercury could mean a bit of difficulty in love because the person with this placement can become too analytical or focus too much on the smallest details (or flaws) in the relationship. Mercury reigns communication, so she can have a very controlled way of speaking with the sign it is in.

I think she struggles with her emotions and how she handles negative ones.

Moon square Uranus, Jupiter, and the Sun: I don’t think she feels safe around men and that has to do with her relationship with her father.

Sun square Moon: Dad and mom are not together. 

Venus trine Saturn: Confident in herself in spite of the critiques and bullying she’s suffered in the past. 

Taurus cusp in her 5th house indicates a lavish lifestyle and Venus in the 8th house (pretty close to the 9th house of travel and education). Lots of traveling to beautiful places.

She might feel insecure about expressing her emotions, especially in public. 

She’s too focused on sounding perfect with her words, just like a Virgo does, choosing carefully what to say when she’s getting interviewed or questioned.

Such an entrepreneur. In her early environment, I think Kylie was restricted from having fun (in a way) and instead probably told to look great. Work her body out or change something about it. I only think this because she’s got an Aries Saturn and the cusp of her 4th house/IC is in Aries. Aries is still the 1st house and rules the body and self. And I feel like fame has truly shaped (quite literally) her body and the idea/view of herself (Neptune square Saturn). 

Lots of red aspects to her personal placements, especially her Moon. Scorpio Moon can indicate having a powerful mom, in terms of social circles and knowing the right people/connections. Moon square Jupiter can mean not seeing her worth because of her origins and where she comes from. She comes from a rich family, so her achievements may feel like she didn’t really earn them. There is a part of her that probably feels that way. 

Not focusing on talking about the degrees in the charts, but I found pointing out that her Midheaven is at the 29th degree (anaretic degree) can mean she has reached a level of mastery at what people wanted from her and in her career. She’s famous, rich, popular, and is leaving a legacy for millions and millions of women who are into beauty and makeup for generations to come. She’s mastered her career and made something long-lasting of it, which is her beauty business brand, Kylie Cosmetics. 

The early home environment was or perhaps still is somewhat chaotic. And the chaos is exposed in the public. 

The ruler of her Aries IC cusp is at the opposite end, in Libra. Libra Mars: There is a certain balance in her career that is lacking in the home. She truly needs someone who can ground her into the home and what she needs, for instance, someone with Taurus placements would be really good for her. 

North Node in the 8th house: Leaving a legacy. Securing properties and real estate owned by her. 

Mercury-Venus conjunct: Using her mind and beauty to build money.

Neptune in 1st house: Iconic, icon… fame through business venues.

She needs to be careful of making deals with the wrong people because it could affect her business. She’s a person who works really hard for what she wants in a detailed-oriented manner. I think she feels more confident and in her power when she’s around people with a progressive way of thinking and who keep up with the modern trends. Modern and newest. 

She must feel lonely when it comes to romantic and intimate relationships because she tends to be of service in her relationships. I feel like the men she’s been with take advantage of that. One of the reasons I believe Virgos should have higher standards. Many of them have really high standards that can take them to a lonely place for a very long time until they realize they deserve to be served as well in the same way they make themselves available to others.

There may be times when she puts her mind before the heart. What she should do for her image instead of what makes her happy. There is a mild level of difficulty with this placement (Venus conjunct Mercury). There are two nice aspects to her Venus if we don’t take into account the Mercury-Venus conjunction. First, she has Saturn trine Venus, which can indicate someone who was raised with a nice value system or developed her own value system from a place of maturity. Second, Neptune trines Venus, which gives Kylie this soft and sort of fantasy-like beauty.

Moon conjunct Pluto: Controlling mother… Moon in Scorpio is not easy. The ruler of her Moon’s sign is in the 10th house and 11th house, so a well-known mother. Kylie has a lot of power when it comes to networking and knowing who to work with in the media. 

Another thing to point out Libra is the aesthetics and glamour. Mars is a planet of action and stamina. Mars is also considered the physical body, so the physical aesthetics have made her truly famous. Nonetheless, if it helps boost her career, who cares right? But the thing is that these physical aesthetics can be seen as merely superficial and people may not see her as for who she is but as a prototype that was modified to bolster her image and career.

And I think she knows her body is not who she is, but she needs to maintain her family’s legacy.

Moon in Scorpio: Absent mother in the sense that mom might not have been there to nurture Kylie the way she needed. Mom might be a busy one.

Moon square Uranus: Her emotional processes in the house of reputation and the planet of chaos/innovation in the house of the self can indicate someone’s life and career bared naked in full exposure to the public affecting one’s image and progress. I have a feeling that she doesn’t feel like her real self in her own body. 

Saturn in the 3rd house is difficult. I personally have this placement in a different sign, of course. Saturn here can indicate problems with peers and schooling, or trouble learning a subject or in general. Problems with speech, for example, not being able to say a word or letter in the proper manner. 

Mars conjunct the Midheaven: Someone who uses their ambition to push their career forward. 

Aries IC: Probably very competitive in the early household. She may have been bullied in school or even in the home. However, there’s a grounding level of maturity that comes with age as she realizes that she’s not what she was told or named.

Balancing her assets, having control of her image and preserving her legacy is what she should focus on.

@rosinastrology

Hope you enjoy this one!! xx

[movingthisblogcelestialtarot11]

Hi angel! May i ask you what do you think from an astrological point of view when it comes to the Menendez brothers maybe getting out becouse of the saggitarius and libra energy in the air mixed with pluto soon entering aquarius. Like i was thinking that they got in jail in 1996 and in 1996 at some point the nodes where in libra and aries. And NOW the north and south nodes are in libra and aries - my questions are Is that conected with them NOW getting recognised as victims? Hope the evil boomers jurry that put them in jail rot. Poor brothers :( i just really want to know is that 16 years karma of pluto been in capricorn has to do with the brothers NOW getting there justice? Like the other man musican that came out as been abused from the father when he was a boy - he talk about it this year. I know i might sound crazy but i think the tiny taste we had of pluto been in aquarius early this year, gave us some power and clarity. So much celebs are getting exposed , so much truth is coming out in all areas of life i feel this is becouse aquarius (air) mixed witht the fire energy(sagitarius season aproching and aries been in one of the nodes) in the air is moving and shifting the world around us . I hope i am right! Please share with us any astorlogical opinions you have ! To make it simple do you think the nodes been in aries and libra + pluto entering soon aqurius had a direct impact on what is happening now to the brothers? THANK YOU FOR READING ALL OF THIS i just really wanted to talk to someone about the astological side of this hardbreaking story without sounding crazy. May the brothers find peace and hope the ones that harmed them rot .

Hi anon 🤍 I think the nodes do play an aspect, considering where it falls in their retrial chart. I do think aspects are even more important as well as it relates to how the planets interact. I would like to preface your anger is completely valid—given their case.

Absolutely Pluto in Aquarius has a huge effect on the masses. We’re seeing a huge shift in who we view as role models, “celebrities,” and influencers. The foundation we built on those we think we can trust is completely shattering.

At the time the Menendez brothers were incarcerated pluto was in Sagittarius. Sagittarius can produce a fickle energy in the community, and denotes a lot of “superficiality.” Talk shows were common at this time especially for humor. Sagittarius is also known for that—which their case spread like wildfire in the community.

It was clear in the way the reporters joked about the brothers being abused, and if you look back on almost all interviews, everyone was joking about something horrific. This ties in to a lot more than just astrology—at the time mental illness and behavioral studies on psychopathy was in an infant stage.

I honestly would look at Venus (rules fairness, justice) Saturn placement (shows oppression but growth through that oppression, the sign it falls in can show us the response of the court room) Mars to see who’s fighting for the case and where that will lead to—and also how they choose to fight this injustice. And moon to depict the overall approach of the case. And aspects!

I think Pluto’s placement will definitely impact the communities response to this case—and so will it affect the courtroom. The nodes more so represent the life path of the brothers, which is more so personal. At least, that is how I understand it. So far we have Tiktok promoting the case and so many people are sharing their feelings and perspectives on the case.

But, something to remember Leslie Abramson said no social media can change the fate of these men, only the courtroom. While I think promoting their case helps—ultimately it comes down to the justice system.

[spintaxi]

Elon Musk Allegedly Impregnates Journalist

Neuralinked at First Sight: Elon Musk Allegedly Impregnates Journalist Two Hours After Verbal Sparring Match

By: Dr. Wylie Granger, Professor of Postmodern Fertility at SpinTaxi.com Category: Science & Scandal

The Tesla of Conception

Austin, TX — In a stunning and possibly bio-enhanced twist of post-interview events, tech mogul and part-time fertility icon Elon Musk is rumored to have impregnated BBC journalist Zainab Husain two hours after their now-viral, awkward-on-purpose interview exchange. According to multiple unnamed but suspiciously poetic sources, the conception was “silent, electric, and possibly Bluetooth-enabled.” Eyewitnesses allege that the pair’s friction-charged philosophical volley escalated rapidly once the cameras were off and the mics muted. What began as a showdown over ethics and AI allegedly ended in a Neuralink-connected moment of transcendental passion and “gene-optimized” fertilization in the back of a retrofitted SpaceX CyberVan.

A Fertility Timeline Sponsored by Tesla

3:15 PM: BBC interview begins. Musk blinks 14 times per minute and utters exactly 61 words. 3:42 PM: Zainab Husain utters the phrase “What are you really afraid of, Elon?” 3:43 PM: Musk’s pupils dilate. A gust of wind opens the window, despite being indoors. 4:05 PM: The interview ends. Musk says “We should talk more… somewhere less BBC.” 5:58 PM: AI-generated ultrasound footage allegedly leaks to X (formerly Twitter). 6:01 PM: Musk retweets with the caption: “The future is multi-planetary and multi-parental.”

Lovechild of AI and Adversarial Journalism?

Insiders at OpenAI have suggested that this event may not have been biological in the traditional sense, but rather the result of Musk’s experimental AI-biological hybrid known as Xenopreg™—a wearable microdevice that detects ovulation and instantly syncs with desired co-parenting algorithms. The device was originally created to allow interplanetary colonists to breed responsibly during low-gravity sex missions on Mars, but appears to have been used here in a “test environment featuring high verbal tension and ethical disagreement.”

Musk’s Statement, Delivered via a Sentient Ferret Wearing a Bowtie:

“We are all nodes in the fertility network. Zainab was a high-latency neural opponent. That’s rare. The interaction heat-mapped well. I wanted to parent a child whose first words would be, ‘Let’s unpack that premise.’”

Journalist Zainab Husain Responds… Cryptically

While BBC declined to comment directly, Zainab Husain posted an Instagram photo of a positive pregnancy test resting atop a hardcover copy of Frankenstein with the caption: “Modern Prometheus had better Wi-Fi. #GlitchInTheWomb #Elon’d” She has since been spotted leaving Whole Foods in Palo Alto with prenatal vitamins, a single avocado, and a copy of “Existential Risk and You.”

The Child’s Name Rumored to Be “Thesis.exe”

If confirmed, this would be Musk’s 14th known child and possibly his first conceived in intellectual combat. The name "Thesis.exe" allegedly symbolizes the child’s origin: born of challenge, critical questioning, and whatever mysterious algorithm Elon uses to select his romantic co-creators. Family insiders say the child will be raised on a rotating biosphere between Texas and low Earth orbit, where it will be taught coding, stoic philosophy, and the ability to withstand cancel culture by age six.

What the Funny People Are Saying:

Ron White: “Elon Musk breeding with a journalist? Hell, I can’t even get a librarian to look at me sideways. But I guess if you got rockets and crypto, you can get anyone ovulating on impact.” Jerry Seinfeld: “So what’s the deal with tech billionaires? You ask them about their views on AI ethics and bam—you’re pregnant before dessert. Is that a feature or a bug?” Ali Wong: “She got knocked up by a man who answers questions with his eyebrows. Girl, that’s some upper-tier TED Talk fertility right there.” Chris Rock: “The dude made a baby and a meme in the same afternoon. That’s Silicon Valley foreplay, baby!”

The Science: Verified by Experts Who Don’t Exist

Dr. Freya Numerix of the International Fertility Federation for Futurist Sex (IFFFS) said, “We’re entering an era where conceptions can occur without consent, romance, or even emotion—as long as there’s enough discourse density.” A recent peer-reviewed article in The Journal of Ethically Gray Conception suggested that “intellectual intercourse” can produce elevated oxytocin levels, which, in the presence of ambient testosterone and white LED lighting, may result in spontaneous fertilization.

Personal Story: From Interviewer to Intergalactic Co-Parent

An anonymous BBC staffer said Zainab left the studio “glowing, confused, and oddly fluent in quantum entanglement metaphors.” She reportedly told the receptionist: “I came here to ask questions. I left with answers. And a fetus.” Later that night, a mysterious Tesla Model π was seen flying autonomously to the MuskLab Cryogenic Parenthood Hub, with a bumper sticker reading: “My Other Kid Is a Singularity.”

Public Reaction

A poll conducted by SpinTaxi DataForge™ asked 12,000 Americans if they believed Elon Musk could impregnate someone using only logic and a piercing stare. The results: 41% said yes 34% said “probably while wearing a lab coat” 25% said “I thought he was celibate until Mars was terraformed” The Church of Scientology issued a press release congratulating Musk for “embracing true interdimensional reproduction.” Meanwhile, Planned Parenthood tweeted, “We don’t even know how to handle this one.”

Sociopolitical Impact

The White House issued a statement calling for “a formal review of AI-enhanced reproductive encounters,” and Texas Governor Greg Abbott announced legislation banning “spontaneous philosophical fertilization” outside of registered libertarian communes. Florida, on the other hand, passed a “Tech Dad Rights Bill” offering tax incentives to men who impregnate opponents during heated debates on social policy.

Corporate Fallout

Tesla stock spiked 8% as investors interpreted Musk’s reproductive stamina as a bullish sign. Neuralink, meanwhile, began quietly removing beta features from their fertility extension plugin, which was found to inadvertently sync with Spotify playlists like “Chill Academic Vibes.” BBC executives have been summoned before Parliament to explain how a “cultural exchange of fluids” occurred without breaching journalistic ethics.

Final Irony

In a twist only the algorithm could write, ChatGPT was asked to draft a co-parenting agreement. The AI refused, citing concerns over ethical boundaries and “not being paid enough for this soap opera.”

Sources:

Musk Eyes New Fertility App: “Just Wink and It’ll Sync” BBC Denies Rumors of Journalist-On-Tycoon Romance, Blames Quantum Entanglement Elon Musk’s 14th Child Rumored to Be a Walking Turing Test SpaceX Announces Pregnancy Leave for Women Impregnated in Autonomous Vehicles Zainab Husain’s Baby Shower Features Custom Neuralink Headbands and Ethical Dilemmas Tesla Stock Rises After Shareholders Learn Elon’s Sperm Can Code AI Midwives Trained to Handle High-IQ Fetuses Disclaimer: This entirely human-generated story is a satirical collaboration between the world’s oldest tenured professor and a philosophy major turned dairy farmer. All details, names, quotes, and fetuses are fictional. Please do not attempt impregnation via discourse without a license. Auf Wiedersehen.

Musk Eyes New Fertility App: “Just Wink and It’ll Sync” Musk Eyes New Fertility App: “Just Wink and It’ll Sync”In his relentless campaign to make reproduction as effortless as summoning an Uber, Elon Musk has reportedly greenlit development on a new app called WinkSync—a cutting-edge fertility platform that allows consenting users to become genetically entangled with just a look. Musk, speaking through a Neuralink-connected espresso machine, announced: “Why waste time with courtship rituals and emotionally fraught conversations? With WinkSync, conception is two blinks and a mutual user rating away.” The app will scan pupil dilation, detect pheromones via ambient humidity, and cross-reference Spotify playlists for compatibility. Critics worry the app blurs the line between romance and biometric invasion, while fans are already lining up for beta access, citing “clinical efficiency” as the new aphrodisiac. A spokesperson for WinkSync confirmed that early tests produced twins in under 30 seconds of eye contact and one case of immaculate conception during a firmware update. In-app purchases include DNA filters (Athletic, Philosophical, Muskratty) and instant “co-parent blocking” functionality. As Musk quipped: “Love is just a vector for scalable womb logistics.” BBC Denies Rumors of Journalist-On-Tycoon Romance, Blames Quantum Entanglement BBC Denies Rumors of Journalist-On-Tycoon Romance, Blames Quantum EntanglementFacing tabloid hysteria and speculative memes, the BBC has officially denied any romantic entanglement between tech tycoon Elon Musk and reporter Zainab Husain. “They merely shared a quantum overlap in intellectual space,” said BBC spokesperson Nigel Hexton. “At no point did their particles collapse into a shared reproductive state.” Quantum physicists consulted for this statement admitted they “have no idea what that means, but it sounds vaguely plausible.” Witnesses described the post-interview tension between Musk and Husain as “erotically epistemological,” citing body language consistent with either intense curiosity or low-blood-sugar-induced staring. The BBC released a montage of Husain interviewing several other billionaires without incident, though Jeff Bezos reportedly now requires mirrored sunglasses for all female journalists. Musk cryptically tweeted, “I exist in superposition until observed. Then I father children.” A BBC ethics committee meeting ended abruptly when someone asked if co-parenting with a neural theorist violated impartiality standards. Meanwhile, Musk has updated his X bio to read: “Quantumly available, emotionally distributed.”

Elon Musk’s 114th Child Rumored to Be a Walking, Talking Deepfake Generator Elon Musk’s 114th Child Rumored to Be a Walking, Talking Deepfake GeneratorIn what appears to be a natural consequence of one man attempting to populate the galaxy himself, Elon Musk’s 114th known child is allegedly not only sentient but capable of generating convincing deepfakes by simply humming Beethoven’s 9th. Sources close to the Musk brood say the child, known only as “DeepElon”, was born fully aware, bypassing the crawling phase and opting instead to roll on smart wheels coded in C++. At six months, DeepElon generated its own baptism video featuring a simulated Pope and photorealistic CGI water. Elon, beaming with paternal pride, declared the child “the first post-verbal, pre-consensual media creator.” Scientists are baffled at the newborn’s ability to manipulate reality using nothing more than a pacifier and an iPad Pro. Privacy experts warn that DeepElon’s uncanny knack for mimicking real people could destabilize politics, relationships, and TikTok influencer branding. “I thought it was a parody account,” said one babysitter. “Then it hacked my Fitbit and released my sleep data.” Musk has since filed to trademark his child under the name “ElonXperience v1.14”, sparking an FTC investigation and a bidding war among streaming services for the child’s first live stream. SpaceX Announces Pregnancy Leave for Women Impregnated in Autonomous VehiclesIn a bold move to support frontier family values, SpaceX has announced a new maternity policy for women impregnated while riding in autonomous vehicles. The press release, printed entirely in binary code, details paid pregnancy leave, free Mars-side birthing classes, and lifetime access to onboard lactation AI. Elon Musk confirmed the move during a Twitch stream of him assembling a baby crib made of rocket parts. “Space travel should be inclusive,” he said, “especially for those co-creating with AutoPilot.” The announcement comes after several reports of “unexpected intimacy” in Tesla vehicles when the car’s karaoke feature allegedly initiated Barry White tracks during navigation reroutes. Critics argue the program blurs lines between innovation and techno-eugenics, while fans see it as a “libertarian fantasy finally realized.” Legal experts are still parsing the implications of co-parenting with software, particularly regarding child support from firmware. A prototype child, “Model Utero,” is currently being beta-tested on a test track outside of Boca Chica. The National Highway Traffic Safety Administration has yet to release a safety rating on love in lane assist mode. Zainab Husain’s Baby Shower Features Custom Neuralink Headbands and Ethical DilemmasGuests arriving at the exclusive baby shower for BBC journalist Zainab Husain were issued Neuralink-enhanced party headbands that flashed red if attendees entertained conflicting moral beliefs about consensual cyborg co-parenting. Held at an undisclosed Tesla Lounge that doubles as an incubation chamber, the event’s theme was “Bébé’s First Bioethics Crisis.” Entertainment included a debate between Sam Altman and a Roomba about utilitarian parenting, a TEDx Talk from the baby’s in-vitro doula, and a live ultrasound narrated by Werner Herzog (via AI clone). Musicians played lo-fi techno remixes of lullabies while guests sipped amniotic-themed cocktails like “The Placenta Paloma.” The gift table featured genetically-optimized baby blocks, a bitcoin teething ring, and several books including What to Expect When You’re Expecting the Singularity. Musk gifted a self-updating bassinet that whispers stoic quotes to the baby in Elon’s voice. Critics called the event “a beautiful mess of capitalist futurism and second-trimester existentialism.” When asked how she felt, Zainab simply said: “I’m grateful, confused, and quantumly entangled.” Tesla Stock Rises After Shareholders Learn Elon’s Sperm Can CodeAfter confidential documents leaked revealing that Elon Musk’s reproductive material allegedly contains high-functioning Python, C++, and Solidity code fragments, Tesla’s stock surged 14% overnight. Investors celebrated the revelation that Musk’s offspring may be born with read-only blockchain wallets and self-cleaning diapers. A Goldman Sachs analyst declared the news “more bullish than a Martian gold mine,” adding that Tesla DNA may replace T-bills as the safest long-term investment. In response, fertility clinics across the globe began offering Musk-Mode genetic enhancements, which include upgraded dopamine receptors and sarcasm recognition modules. Meanwhile, Twitter users flooded the platform with memes showing Elon’s sperm using ChatGPT to write love letters, design AI chips, and break up with girlfriends via JSON files. Tesla immediately launched a line of sperm-themed NFTs called “Elon’s Ejaculatory Epochs,” which sold out in four seconds. One hedge fund manager summed up the Wall Street mood: “We used to invest in companies. Read the full article

[fromdevcom]

Hadoop is the most used opensource big data platform. Over the last decade, it has become a very large ecosystem with dozens of tools and projects supporting it. Most information technology companies have invested in Hadoop based data analytics and this has created a huge job market for Hadoop engineers and analysts. Hadoop is a large-scale system that requires Map Reduce programmers, data scientists, and administrators to maintain it. Getting a Hadoop job may seem difficult but not impossible. There are hundreds of useful free resources available online that can help you learn it on your own. Many programmers have switched to data scientist role by simply self-learning Hadoop development. I am a Cloudera certified Hadoop developer since 2008 and I have hand-curated this list of resources for all Hadoop aspirants to learn faster. Hadoop Beginners Tutorials: Simple and Easy to Follow Hadoop requires a lot of prior knowledge of computer science. It may be overwhelming for a total beginner to start using it. I would recommend to take small steps and learn part of it at a time. Try to apply what you learn using a simple project. The pre-bundled distributions of Hadoop are, the best way to avoid complicated setup. You can use Cloudera or Hortonworks bundled packages to quick start your experiments. At first, you need no create a large Hadoop cluster. Even doing a one or two node cluster would be sufficient to verify your learnings. Apache Hadoop - Tutorial 24 Hadoop Interview Questions & Answers for MapReduce developers | FromDev Hadoop Tutorial - YDN Hadoop Tutorial for Beginners: Hadoop Basics Hadoop Tutorial – Learn Hadoop from experts – Intellipaat Free Hadoop Tutorial: Master BigData Hadoop Tutorial Apache Hadoop 2.9.2 – MapReduce Tutorial Learn Hadoop Tutorial - javatpoint Hadoop Tutorial | Getting Started With Big Data And Hadoop | Edureka Hadoop Tutorial for Beginners | Learn Hadoop from A to Z - DataFlair Map Reduce - A really simple introduction « Kaushik Sathupadi Running Hadoop On Ubuntu Linux (Single-Node Cluster) Learn Hadoop Online for Free with Big Data and Map Reduce Cloudera Essentials for Apache Hadoop | Cloudera OnDemand Hadoop Video Tutorials To Watch and Learn Video tutorials are also available for learning Hadoop. There are dozens of beginners video tutorials on Youtube and other websites. Some of the most popular ones are listed below. Hadoop Tutorials Beginners - YouTube Apache Hadoop Tutorial | Hadoop Tutorial For Beginners | Big Data Hadoop | Hadoop Training | Edureka - YouTube Big Data Hadoop Tutorial Videos - YouTube Demystifying Hadoop 2.0 - Playlist Full - YouTube Hadoop Architecture Tutorials Playlist - YouTube Hadoop Tutorials - YouTube Durga Hadoop - YouTube Big Data & Hadoop Tutorials - YouTube Hadoop Tutorials for Beginners - YouTube Big Data and Hadoop Tutorials - YouTube Big Data Hadoop Tutorial Videos | Simplilearn - YouTube Hadoop Training Tutorials - Big Data, Hadoop Big Data,Hadoop Tutorials for Beginners - YouTube Hadoop Training and Tutorials - YouTube Hadoop Tutorials - YouTube Best Hadoop eBooks and PDF to Learn Looking for a PDF downloadable for Hadoop learning? Below list has plenty of options for you from various sources on the internet. Apache Hadoop Tutorial Mapreduce Osdi04 Book Mapreduce Book Final Hadoop The Definitive Guide Hadoop Mapreduce Cookbook Bigdata Hadoop Tutorial Hadoop Books Hadoop In Practice Hadoop Illuminated Hdfs Design Hadoop Real World Solutions Cookbook Hadoop Explained Hadoop With Python Apache Hadoop Tutorial Best Free Mongodb Tutorials Pdf Hadoop Cheatsheets and Quick Reference Resources Hadoop has many commands, memorizing those may take time. You can use a simple cheat sheet that can be used as a quick reference. I recommend you to print one of your favorite cheat sheets and stick it on your desk pinboard. This way you can easily lookup for commands as you work.

Commands Manual Hadoop Hdfs Commands Cheatsheet Hadoop For Dummies Cheat Sheet - dummies Hadoop Deployment Cheat Sheet | Jethro Hdfs Cheatsheet HDFS Cheat Sheet - DZone Big Data Big Data Hadoop Cheat Sheet - Intellipaat Hadoop Websites and Blogs To Learn On Web This is a list of blogs and websites related to Hadoop. These can be handy to keep your knowledge on Hadoop up to date with the latest industry trends. Hadoop Eco System - Hadoop Online Tutorials Big Data Hadoop Tutorial for Beginners- Hadoop Installation,Free Hadoop Online Tutorial Hadoop Tutorial – Getting Started with HDP - Hortonworks Hortonworks Sandbox Tutorials for Apache Hadoop | Hortonworks Hadoop – An Apache Hadoop Tutorials for Beginners - TechVidvan Hadoop Tutorial -- with HDFS, HBase, MapReduce, Oozie, Hive, and Pig Free Online Video Tutorials, Online Hadoop Tutorials, HDFS Video Tutorials | hadooptutorials.co.in Free Hadoop Training Hadoop Fundamentals - Cognitive Class Hadoop Courses | Coursera hadoop Courses | edX MapR Training Options | MapR Hadoop Forums and Discussion Boards To Get Help Looking for help related to Hadoop, you may be lucky if you go online. Many people are willing to help with Hadoop related queries. Below forums are very active with high participation from hundreds of people. Official Apache Hadoop Mailing list Frequent 'Hadoop' Questions - Stack Overflow Forums - Hadoop Forum Hadoop Courses and Training (Including Paid Options) Hadoop courses may not be free but have been proven very useful for quickly learning from experts. The courses can exhaustive, however, it may give you a faster learning curve and greater confidence. There are many costly courses available, my recommendation will be to try out the free courses first and then invest wisely into areas where you need to learn more. Apache Hadoop training from Cloudera University - Following are the key things to notice about this training. Expert trainers Good place for networking for fellow Hadoop engineers. Usually in-person training. It may be costly as an individual, but if you get corporate sponsorship this is probably the best option. This is the Most popular choice for corporate training.   Live Training - Hortonworks - Following are the key things to notice about this training. Another good option for corporate level training.  Expert trainers. Usually in-person training. It may be costly. Big Data Training - Education Services - US and Canada | HPE™ Big Data Hadoop Training | Hadoop Certification Online Course - Simplilearn Hadoop Tutorial Training Certification - Paid but a cheaper option. Search for ProTech Courses - Hadoop courses are offered at a physical training. TecheTraining Learning Hadoop - Hadoop Training Course on LinkedIn that can be free with a one month trial. Please share your experience If you know about more training options or have any feedback about any training listed here. Summary I have created this huge list of Hadoop tutorials to help learn faster. At first, it may become overwhelming to jump onto any tutorial and start learning, however, I would encourage you to no give up on learning. My recommendation to beginners will be to start small and no give up. Based on the couple hour spent every day you may be able to learn Hadoop ecosystem in a matter of a few weeks. I hope you find this resource page useful. Please mention in comments, If you find something useful that is not listed on this page.

[horoscope1078]

Hi! Hope ur okay. Could you do how Pablo Barrios is in love? Thank you x

Pablo

Pablo’s Sun in Gemini makes him super sharp, curious, and adaptable; classic air-sign energy. On the pitch, this translates to quick reflexes, smart decisions, and a mind that’s always five moves ahead. He’s not the type to play on autopilot; he thinks through the game and loves mixing things up. Definitely not boring; and probably a killer interview, too.

Emotionally, Pablo’s a bit reserved. The Moon in Capricorn gives off serious “I don’t cry, I grind” energy. He processes feelings through action, goals, and structure. When things get tough, he gets tougher; no drama, just focus. This Moon also makes him dependable and mature beyond his years.

Mercury rules communication and thinking, and it's home in Gemini. He picks up tactics in no time, communicates clearly, and probably roasts teammates with ease. This combo screams versatility; he's likely comfortable playing multiple roles on the field.

Venus in Gemini means in love and friendships, Pablo’s playful, witty, and curious. He flirts with words and connects with people through ideas. He needs mental stimulation, whether it’s relationships or just banter with teammates. Is he loyal? Yes; but he needs freedom and space, or he’ll get restless.

Mars rules action and aggression, and Aquarius adds a twist of innovation and rebellion. Pablo doesn’t just follow the rules; he breaks them creatively. His playing style might be unconventional, but that’s part of the magic.

Jupiter in Leo blesses Pablo with confidence, optimism, and a flair for the dramatic. He probably loves the spotlight and rises to big occasions. This is someone who believes in themselves and isn’t afraid to show it. It also suggests a natural leader, someone others look up to.

Saturn in Cancer can be a bit emotionally tough; not because feelings don’t exist, but because they’re controlled. There might be some early life pressure around family or emotional expression. He may take responsibility seriously, sometimes too seriously, especially when it comes to people he cares about.

Uranus in Pisces makes Pablo sensitive to collective vibes but also spiritually rebellious. He might be intuitive or even a bit visionary, and not always easy to read. Retrograde here makes this uniqueness more internalised; like he's quietly offbeat.

Neptune in Aquarius gives off dream-team energy; literally. It fuels idealism around collective goals, innovation, and progress. With this, Pablo might have big dreams not just for himself, but for the squad, the fans, and even broader social impact.

Pluto in Sagittarius generation placement gives Pablo a drive to explore truth, push limits, and seek freedom. Retrograde Pluto here suggests he channels this transformation energy inward; he’s always evolving, questioning, and levelling up from within.

North Node in Taurus means Pablo’s soul growth is about learning stability, patience, and peace. Taurus energy slows him down and helps him build something lasting. He’s here to master groundedness; quite the contrast from all that mental Gemini energy.

Lilith in Taurus is sensual, stubborn, and refuses to be rushed. Pablo may have a strong relationship with the physical world; his body, his senses, his space; and he doesn’t like being pushed around. There’s something primal and unshakable here.

Chiron in Capricorn points to a wound around success, pressure, or perfectionism. Maybe Pablo felt he had to prove himself, always be “the best,” or live up to high standards. But healing comes when he realises his worth isn’t just in achievement; it’s in showing up with integrity.

Pablo’s a sharp, driven guy with a mix of discipline and rebellious flair. He’s focused and determined, but also unpredictable and super independent; both on and off the field. He thinks fast, speaks his mind, and doesn’t back down easily. Emotionally, he’s guarded but loyal, with a romantic side he rarely shows. He craves freedom, hates routine, and always wants to do things his own way; and usually pulls it off.

Pablo comes across differently than he really is, which can confuse people or even cause him to get in his own way. He’s got a sharp mind, lots of energy, and a curious nature, but he can be emotionally up and down and easily influenced if he’s not grounded. He’s serious, honest, and hardworking, though he might struggle with public perception or feel like success takes longer than it should. He’s full of original ideas and has a natural fighting spirit, especially when chasing his goals; but sometimes that fire can turn into frustration or distract him from his real path. Deep down, he craves freedom and wants to do things his way, but learning to focus and balance that independence with life’s demands is key to really unlocking his potential.

He's got a strong sense of discipline and grit, pushing through challenges with quiet determination. He’s idealistic and driven by big-picture values, but sometimes struggles to stay grounded or clear on his direction. He’s smart, self-aware, and thoughtful, but can overthink things and get stuck chasing distractions. There’s charm and sensitivity in him, especially around love and beauty, but balancing emotional needs with life goals might be an ongoing challenge.

[sandeep2363]

Oracle RAC Interview Question and Answer

1 What is cache fusion? In a RAC environment, data blocks are moved from remote database caches (SGA) to the local node to meet transaction needs (like DML or querying the data dictionary). Cache fusion refers to the shared memory of Oracle buffers between the nodes in the cluster. It’s easier to obtain the block image from the instance with the block in its SGA rather than reading it from disk,…

[psychopomp-namine]

Ahhhhh your theory about how Vein died is sooooooooooo fucking real. Like I've seen people talk about how Lu Guang might have a secret power? But I feel like that's not the case cuz then we might have seen it play out in S1 and S2. Lg would surely would have used it in the fight with Qian Jin.

for context, anon is talking about this post where I theorize how vein "died." I go into it in more detail there, but the tl;dr version of it is: no lu guang did not kill him vein directly. he just delayed vein from entering the clinic early, thus creating a butterfly effect (hence his whole speech about it) that led to wang qing being awake when vein tries to leave with the notebook, thus creating an opportunity for her to "kill" vein which she wouldn't have had originally. but liu xiao interrupted this chain of events and that's why vein is alive using the faking death ability.

I am linking the reblog version here because other people have added their own thoughts since the creation of the post. I'm not sure if anon has seen it or just the original post, because in my original post I posit that liu xiao has the faking death ability. but after seeing other people's thoughts, I am now more leaning to the idea that wang qing has the faking death ability or perhaps, that a combination of wang qing and liu xiao is what made the "heart attack but fake death" happen. perhaps (unintentionally) they created a power combo-ing effect similar to how lu guang and cheng xiaoshi can create a mind link across time when combining their powers, or how li tianchen can possess people across space by proxy of li tianxi.

a power combo that works across "death" would be interesting, though this is merely speculative at this point. it would certainly provide another perspective to why they're paired up in the ed.

to now address anon: yeah, exactly. even if the addition of non-photo based powers is a recent change in writing direction (that they may not have had foresight on during the writing of previous seasons), it still would be too much of a drastic change for lu guang to be hiding another ability.

as I said in the post, it is unfortunate that we have to rely on information outside of the show to make sense of it, but yingdu really does make more sense when you've seen the recent interview with director li. in particular, it is heavily implied that liu xiao has more than one ability, and the process of gaining an ability (aside from inheritance from parents) is through death or stealing it from others.

while I am a believer in the idea that lu guang is willing to do morally questionable things for cheng xiaoshi, I don't think he would've had an opportunity to just get a new ability so soon after he just got the diving ability from cheng xiaoshi. on the flip side, if he always had multiple abilities since he was a kid, it would be bad writing lmao because then why has he never used it until now? especially when he's been timelooping for who knows how long to avoid a death node. I know link click is possibly retconning some details (2018 is now 2019, they changed the plans for red eyes, etc etc) but I don't think this would be a retcon they'd do because it would change too much of lu guang's character.

I am going to use this ask as a jumping off point to talk about yingdu's storytelling style, and how we should take this into account when analyzing this season. putting this under the cut now since this gets long and is kinda just a tangent now to the ask itself, though it does circle back to lu guang's role in vein's "death" in the end.

part of the reason vein's death is confusing is definitely because of the animation of lu guang puppeteering wang qing. I can totally see how people would come to the conclusion that lu guang was controlling her somehow. but we have to remember that yingdu is not like S1 and S2, for multiple reasons. one, it's a shorter season meant to introduce plot hooks, not plot; it's a setup for S3. two, it's a change in perspective from cheng xiaoshi's more grounded reality to lu guang who has been timelooping for forever. three, it was animated by a different studio than studio lan. fourth, it aims to provide a different story, and the storytelling style reflects that.

whereas S1 and S2 has a storytelling style that focused more on plot details and building up tension; yingdu focused more on relationships and emotions. it heavily uses visual metaphors in its storytelling compared to previous seasons.

in a way, although I have qualms about yingdu's writing, I do think visual metaphors is a valid solution to the problem of, "we only have six episodes to establish new plots and characters and motivations. how do we convey information efficiently in that amount of time without compromising artistry?"

I will mention one metaphor in detail that will be relevant for the lu guang discussion later. one example is glasses as a perception metaphor. this meta was written in YE5, and YE6 continues the metaphor as well because we see lu guang wear clear glasses for the first time, symbolizing that he is no longer stuck in his rose-tinted glasses era of looking into the past, and has decided to look into the future, solidified by his decision to remove vein from the situation and also because he reveals later that this is the last time he can loop.

there are, of course, more examples. idk if I have links for existing meta on this, but we have hands as a metaphor for relationships (hand holding, handshakes, fist bumps, etc) and the power balance of each relationship (with regards to secrets, deals, etc). we have various color theories floating around. we have theater/cinema and chess as metaphors for everyone's narrative roles. lu guang's imaginary clock as a metaphor for how he thinks the timeline should go, and how it's prevented from running by red strings forming the word BRIDON. we even see the clock fall apart in one of the later episodes (I forget which one atm). hell I could write a whole meta on liu xiao's tetris game as a metaphor for how he sees the "game" he's playing and the role xia fei plays into all of it.

side note: I think it's incredibly valid for people to feel that yingdu did not have enough space to properly establish characters, and I feel the same way too. but at the same time, I think a lot of characterization also gets missed in yingdu because it's a season that loves its metaphors and encodes character motivations through it instead of just showing it to us. I have conflicting feelings about this, but ultimately, they only had 6 episodes to tell a story, and I think that's something we should always keep in mind when managing expectations.

circling back to vein's "death" and lu guang's role in it... visual metaphors are gonna be confusing if people don't know this is what yingdu's storyelling heavily uses. I don't think we should be reading yingdu the same way we did S1/S2.

someone could watch lu guang puppetering wang qing and think, "oh he's using her to kill vein directly" but if we stick to yingdu's storytelling style, it is more likely a metaphor for him learning to manipulate the butterfly effect for his purposes (again also symbolized by the glasses metaphor, since he wears clear glasses in the same episode)

scenes should also not be taken out of context. there is a reason he made a whole speech about the butterfly effect first. a small change (delaying vein) results in a big change (killing vein). if lu guang was controlling wang qing or whatever, that is not a small change. that is not a butterfly effect. we literally had a butterfly land on lu guang's shoulder after he made this speech to vein. the point was to create a butterfly effect that would lead to a situation where vein dies.

and for my final tangent: this sets us up perfectly for S3 because I believe lu guang and liu xiao are supposed to be narrative foils.

they both have expressed wanting control over the timelines. liu xiao wants "to make uncertainties into certainties" (whatever this means) and lu guang wants "to make certainties (cheng xiaoshi's death node) uncertain." but as of S1 and S2, lu guang was not yet in a position to properly rival liu xiao over this theming, because we know he's been timelooping and failing over and over to save cheng xiaoshi, while liu xiao has been successfully manipulating people into doing things for him (getting li tianchen to retrieve liu min's phone for him; baiting cheng xiaoshi to go to bridon so he can use him to bait wang qing to revealing where she hid the location of cheng weimin's notebook so vein can steal it).

now, lu guang has shown some semblance of control. and we have seen the effects of it. cheng xiaoshi is still alive and well in a post-S2 post-yingdu timeline.

I mentioned this way back in YE2, but there's also a distinct change in the way we're moving from "closed loops" to "butterfly effects" as a theme in yingdu. yingdu has many objectives it wanted to do as a season, but the main one was lu guang learning to manipulate the timelines through creating a butterfly effect. in keeping with this theme and objective, it just does not make sense for him to kill vein by somehow directly controlling wang qing.

[iihtsuratsblog]

Top 20 MERN Stack Interview Questions You Need to Prepare

The MERN stack (MongoDB, Express.js, React, Node.js) is a popular full-stack development technology. Here’s a quick guide to the key questions you may encounter in MERN stack interviews:

What is the MERN stack? It includes MongoDB (NoSQL database), Express.js (web framework), React (UI library), and Node.js (runtime for backend).

MongoDB vs SQL? MongoDB is document-oriented, flexible, and scalable, while SQL is relational and uses tables.

How does Express.js support web development? Express simplifies routing, request handling, and middleware management, speeding up app development.

Main features of React? React is component-based, uses virtual DOM, and supports one-way data binding for efficient rendering.

Why Node.js is popular? Node.js is fast, event-driven, and non-blocking, making it efficient for handling multiple requests concurrently.

MongoDB-Specific Questions

What does a MongoDB document represent? A document is a JSON-like object that holds data, allowing complex structures.

CRUD operations in MongoDB? CRUD stands for Create, Read, Update, and Delete—basic operations to manage data.

What are indexes in MongoDB? Indexes improve query performance by speeding up data retrieval.

How do you handle relationships in MongoDB? You can embed related data or store references to other documents (embedding vs. referencing).

Express.js-Specific Questions

What is middleware in Express.js? Middleware functions are used for routing, request handling, and managing response flow.

How do you handle routes in Express? Routes map URLs to controller functions to handle HTTP requests (GET, POST, etc.).

Security practices in Express? Implement CORS, input validation, and authentication to secure your application.

React-Specific Questions

Class vs Functional components? Class components use lifecycle methods; functional components use hooks like useState and useEffect.

How to manage state in React? State can be managed locally or using tools like Context API or Redux for global state.

What are React hooks? Hooks like useState and useEffect enable functional components to manage state and side effects without classes.

Node.js-Specific Questions

How does Node.js handle asynchronous programming? Using callbacks, promises, and async/await, Node handles async operations efficiently.

What is npm? npm is a package manager for Node.js, helping manage dependencies and libraries in your project.

Full-Stack Development Questions

How to implement authentication in MERN? Use JWTs, sessions, or OAuth for secure user authentication and authorization.

Deployment options for MERN apps? Popular options include Heroku, AWS, and Docker for hosting and scaling MERN applications.

Advanced Topics

How to optimize MERN app performance? Optimize client-side rendering, cache data, improve queries, and minimize app load time for better performance.

Conclusion:

Mastering the MERN stack opens numerous web development opportunities. By practicing these interview questions and applying your knowledge in real projects, you’ll boost both your technical skills and interview confidence. Keep learning and stay updated with the latest trends!

Get Read Full Article: https://blog.iihtsrt.com/mern-stack-interview-questions/

[legosapien]

AI Interview Questions: A Comprehensive Guide to Succeed in Your Next Artificial Intelligence Job Interview

Artificial Intelligence (AI) is transforming industries and revolutionizing the way we live, work, and interact. As AI-powered technologies continue to evolve, companies are keen to onboard professionals who can harness its potential. If you're preparing for an AI job interview, this guide from Lego Sapien will help you tackle common Artificial Intelligence interview Questions with confidence.

Understanding the Importance of AI in Today’s World

Artificial Intelligence is not just a buzzword; it is the backbone of numerous applications ranging from chatbots and virtual assistants to autonomous vehicles and advanced data analytics. Employers seek candidates with a solid understanding of AI concepts, tools, and practical applications. Your ability to answer AI interview questions effectively can set you apart from the competition.

Common Artificial Intelligence Interview Questions

1. What is Artificial Intelligence?

AI refers to the simulation of human intelligence in machines that are programmed to think, learn, and solve problems. Interviewers may ask this to gauge your foundational knowledge.

Example Answer: "Artificial Intelligence involves creating systems that can perform tasks that typically require human intelligence, such as reasoning, learning, and problem-solving. It spans across various subfields like machine learning, natural language processing, and computer vision."

2. Explain the difference between Machine Learning and Deep Learning.

This question tests your understanding of AI subdomains.

Example Answer: "Machine Learning is a subset of AI that enables systems to learn and improve from data without explicit programming. Deep Learning, a subset of Machine Learning, involves neural networks with multiple layers that can process large datasets and identify complex patterns."

3. What are the main types of AI?

Expect to discuss the different levels and categories of AI.

Example Answer: "AI can be classified into three types:

Narrow AI: Designed for specific tasks like virtual assistants (e.g., Siri).

General AI: Mimics human intelligence across a wide range of activities (still hypothetical).

Super AI: An advanced form of AI surpassing human intelligence (currently theoretical)."

Technical AI Interview Questions

4. How does a neural network work?

Employers often assess your knowledge of AI models.

Example Answer: "A neural network consists of layers of nodes: input, hidden, and output layers. Each node mimics a neuron in the human brain. Data passes through these layers, and weights and biases adjust during training to optimize output."

5. What is overfitting, and how can you prevent it?

This question evaluates your problem-solving skills in AI modeling.

Example Answer: "Overfitting occurs when a model performs well on training data but poorly on unseen data. To prevent it, techniques such as regularization, cross-validation, pruning, and using more training data can be employed."

6. Can you explain Reinforcement Learning?

Reinforcement Learning (RL) is a trending topic in AI.

Example Answer: "Reinforcement Learning is a type of Machine Learning where an agent learns to make decisions by performing actions in an environment to maximize cumulative rewards. It's widely used in robotics, gaming, and autonomous systems."

Behavioral AI Interview Questions

7. Describe a challenging AI project you worked on.

This question assesses your experience and problem-solving ability.

Example Answer: "During my last role, I developed a chatbot for customer support. One challenge was managing ambiguous user queries. To address this, I incorporated natural language processing (NLP) techniques and trained the model with diverse datasets. The chatbot's accuracy improved by 20% after implementation."

8. How do you stay updated with advancements in AI?

Interviewers often seek candidates who are proactive learners.

Example Answer: "I follow industry leaders on LinkedIn, attend AI webinars, and read journals like 'AI Magazine' and blogs from leading organizations like OpenAI. Additionally, I complete certifications on emerging AI tools and frameworks."

Key Tips to Ace Your AI Job Interview

Master the Basics: Ensure you have a strong grasp of foundational AI concepts, including algorithms, data structures, and probability.

Hands-On Practice: Familiarize yourself with popular tools like TensorFlow, PyTorch, and scikit-learn.

Know the Company: Research the company’s AI initiatives to align your answers with their goals.

Prepare Real-World Examples: Showcase your skills through practical projects or challenges you've solved.

Stay Updated: Demonstrate your awareness of trends like generative AI, ethical AI, and edge computing.

Tricky AI Interview Questions and How to Answer Them

9. What are the ethical implications of AI?

Ethics is a critical topic in AI discussions.

Example Answer: "AI raises ethical concerns like bias, privacy invasion, and job displacement. Developers must ensure fairness in algorithms, adhere to data protection laws, and design systems that benefit society as a whole."

10. How do you approach debugging an AI model?

Your ability to troubleshoot AI systems is crucial.

Example Answer: "I start by analyzing the data for inconsistencies, then examine the model architecture and hyperparameters. I use visualization tools like TensorBoard to identify issues and iterate through experiments to optimize performance."

AI Interview Preparation Resources

To excel in your AI interview, explore these resources:

Books: Artificial Intelligence: A Modern Approach by Stuart Russell and Peter Norvig.

Online Courses: Platforms like Coursera, edX, and Udemy offer AI certifications.

Hands-On Practice: Kaggle competitions and GitHub repositories are great for practical experience.

Conclusion

Preparation is the key to acing any interview. By familiarizing yourself with the common AI interview questions and honing your technical, behavioral, and ethical understanding, you can stand out as a promising candidate.

At Lego Sapien, we are committed to empowering individuals to navigate the dynamic world of AI. Stay curious, keep learning, and embrace the challenges of this exciting domain. Good luck with your AI journey!

[phdpioneers]

Literature review techniques

1. Understanding the PurposeBefore diving into a pile of papers, reflect on why you're conducting the review. A literature review isn't just about collecting data—it's about building a foundation for your research. Ask yourself:What is the scope of my research?How does this topic connect to real-world issues or human experiences?What knowledge gaps am I trying to fill?This introspection aligns your review with a purpose, making it more impactful.---2. Finding the Right SourcesQuality trumps quantity when sourcing literature. Use reputable databases like PubMed, JSTOR, or Scopus, but also consider diverse perspectives:Academic Sources: Peer-reviewed journals and conference proceedings.Human Narratives: Books, interviews, or case studies that provide qualitative insights.Grey Literature: Reports, theses, and white papers that might offer unique, untapped perspectives.Always evaluate the credibility of each source, keeping an eye on the authors’ biases and methodologies.---3. Developing a Reading StrategyA human-centered approach to reading involves engaging with the material actively:Skimming for Relevance: Start by reading abstracts and conclusions to assess if the paper aligns with your topic.Critical Engagement: As you read, ask questions like:Who benefits from this research?What assumptions does the author make?How does this connect to my work?Annotating: Highlight key arguments, note contradictions, and jot down thoughts. This keeps the process interactive and reflective.---4. Organizing the LiteratureOrganizing research is like piecing together a story. Tools like Zotero, Mendeley, or even Excel can help, but focus on creating meaningful connections:Thematic Grouping: Categorize papers by themes or concepts rather than chronologically. This helps you identify trends and patterns.Mind Mapping: Visualize how different studies relate to each other. For example, create nodes for shared methodologies or opposing conclusions.---5. Synthesizing InformationSynthesis is about weaving a narrative from multiple voices. A human-centric synthesis goes beyond summarizing—it seeks to create dialogue:Identify Gaps: What hasn’t been addressed? Where do contradictions arise?Compare Perspectives: Highlight areas of consensus and debate.Contextualize Findings: Relate the studies to broader social, cultural, or historical contexts.This transforms your literature review into a dynamic, evolving conversation rather than a static report.

https://wa.me/919424229851/

[subb01]

Top Full Stack Development Interview Questions Every Candidate Should Know

Preparing for a full stack development interview can be a daunting task. The field requires comprehensive knowledge of both front-end and back-end technologies, and interviewers often ask questions that test a candidate’s in-depth understanding of various programming concepts, frameworks, and best practices. To set you up for success, this guide covers some of the top full stack development interview questions you should be prepared for. Additionally, be sure to check out this YouTube video guide on essential full stack interview questions for further insights.

1. What is Full Stack Development?

Full stack development involves creating complete web applications, encompassing both the front-end (client-side) and back-end (server-side) development. Full stack developers are proficient in HTML, CSS, JavaScript, and at least one back-end language, such as Node.js, Python, Ruby, or Java.

2. Explain the Differences Between Front-End and Back-End Development.

Front-End Development focuses on the user interface and user experience. Technologies include HTML, CSS, JavaScript, and frameworks like React, Angular, and Vue.js.

Back-End Development deals with server-side logic, databases, and APIs. Popular technologies include Node.js, Express.js, Python (Django, Flask), Ruby on Rails, and Java (Spring).

3. What Are RESTful Services and APIs?

REST (Representational State Transfer) is an architectural style that uses HTTP requests for communication. RESTful APIs allow communication between client and server through GET, POST, PUT, and DELETE operations. It ensures stateless operations and a standardized way of building APIs, making them scalable and easily maintainable.

4. Can You Explain the Concept of MVC Architecture?

MVC (Model-View-Controller) is a design pattern used to develop web applications. It separates an application into three interconnected components:

Model: Represents the data and business logic.

View: Displays data to the user.

Controller: Handles input and updates the model or view accordingly. This architecture promotes modularization and makes code maintenance more manageable.

5. What Are the Advantages of Using Node.js for Back-End Development?

Node.js is widely used for its asynchronous, event-driven nature, making it suitable for building scalable network applications. Key advantages include:

Single Language: JavaScript can be used both on the client-side and server-side.

High Performance: Thanks to its non-blocking I/O operations.

Vast Ecosystem: Access to thousands of libraries through npm (Node Package Manager).

6. What Is the Role of a Package Manager in Full Stack Development?

A package manager, such as npm or Yarn, helps developers install, update, and manage dependencies for a project. It simplifies the process of adding libraries and frameworks, ensuring version control and smooth project development.

7. Explain the Concept of Asynchronous Programming in JavaScript.

Asynchronous programming allows the execution of non-blocking code, enabling functions to run in the background without stopping the main thread. Techniques like callbacks, promises, and async/await are used to handle asynchronous operations.

8. What Are Promises and How Do They Work?

A promise in JavaScript represents a value that may be available now, or in the future, or never. It has three states:

Pending: Initial state, neither fulfilled nor rejected.

Fulfilled: Operation completed successfully.

Rejected: Operation failed. Promises make it easier to manage asynchronous operations compared to traditional callbacks.

9. What Is the Importance of Version Control Systems in Development?

Version control systems like Git help track changes in code over time, allowing multiple developers to collaborate seamlessly. They provide features like branching, merging, and the ability to revert to previous code versions, essential for maintaining project integrity.

10. What Are the Benefits of Using Frameworks like React or Angular for Front-End Development?

React: Offers a component-based architecture, virtual DOM for enhanced performance, and easy integration with other libraries.

Angular: Provides a complete solution with two-way data binding, dependency injection, and a powerful CLI for streamlined development. Frameworks accelerate development, enhance code readability, and promote reusability.

11. How Would You Optimize a Website’s Performance?

Performance optimization strategies include:

Minimizing HTTP Requests: Using image sprites, combining CSS/JS files.

Lazy Loading: Loading images or components only when needed.

Caching: Leveraging browser caching for static resources.

Content Delivery Network (CDN): Distributing content through servers located close to users.

Compression: Using Gzip or Brotli to compress files.

12. What Are the Security Concerns in Web Development, and How Do You Address Them?

Common security concerns include:

Cross-Site Scripting (XSS): Prevented by sanitizing user input.

SQL Injection: Avoided using parameterized queries or ORM libraries.

Cross-Site Request Forgery (CSRF): Mitigated with anti-CSRF tokens.

Secure Authentication: Implementing HTTPS and password hashing.

13. Describe a Few Commonly Used Database Solutions and When to Use Them.

SQL Databases (e.g., MySQL, PostgreSQL): Structured data, relational.

NoSQL Databases (e.g., MongoDB, Cassandra): Unstructured data, flexible schema, ideal for large-scale applications with rapidly changing requirements.

14. How Do You Ensure Code Quality and Maintainability?

Ensuring code quality involves:

Writing Clean, Readable Code: Following industry standards.

Unit Testing: Using tools like Jest or Mocha for JavaScript.

Code Reviews: Regular peer reviews for feedback.

Linting Tools: ESLint or Prettier for code consistency.

Conclusion

Preparing for full stack development interviews requires a solid understanding of both fundamental concepts and advanced topics. Familiarize yourself with these questions, practice your coding skills, and stay updated on the latest industry trends. Don’t forget to enhance your preparation by watching this comprehensive video on top interview questions to gain more tips and insights.

By thoroughly preparing for these questions and understanding the core principles behind them, you’ll be well on your way to acing your full stack development interview and landing your dream job.

[fromdevcom]

A good understanding of Hadoop Architecture is required to leverage the power of Hadoop. Below are few important practical questions which can be asked to a Senior Experienced Hadoop Developer in an interview. I learned the answers to them during my CCHD (Cloudera Certified Haddop Developer) certification. I hope you will find them useful. This list primarily includes questions related to Hadoop Architecture, MapReduce, Hadoop API and Hadoop Distributed File System (HDFS). Hadoop is the most popular platform for big data analysis. The Hadoop ecosystem is huge and involves many supporting frameworks and tools to effectively run and manage it. This article focuses on the core of Hadoop concepts and its technique to handle enormous data. Hadoop is a huge ecosystem and referring to a good hadoop book is highly recommended. Below list of hadoop interview questions and answers that may prove useful for beginners and experts alike. These are common set of questions that you may face at big data job interview or a hadoop certification exam (like CCHD). What is a JobTracker in Hadoop? How many instances of JobTracker run on a Hadoop Cluster? JobTracker is the daemon service for submitting and tracking MapReduce jobs in Hadoop. There is only One Job Tracker process run on any hadoop cluster. Job Tracker runs on its own JVM process. In a typical production cluster its run on a separate machine. Each slave node is configured with job tracker node location. The JobTracker is single point of failure for the Hadoop MapReduce service. If it goes down, all running jobs are halted. JobTracker in Hadoop performs following actions(from Hadoop Wiki:) Client applications submit jobs to the Job tracker. The JobTracker talks to the NameNode to determine the location of the data The JobTracker locates TaskTracker nodes with available slots at or near the data The JobTracker submits the work to the chosen TaskTracker nodes. The TaskTracker nodes are monitored. If they do not submit heartbeat signals often enough, they are deemed to have failed and the work is scheduled on a different TaskTracker. A TaskTracker will notify the JobTracker when a task fails. The JobTracker decides what to do then: it may resubmit the job elsewhere, it may mark that specific record as something to avoid, and it may may even blacklist the TaskTracker as unreliable. When the work is completed, the JobTracker updates its status. Client applications can poll the JobTracker for information. How JobTracker schedules a task? The TaskTrackers send out heartbeat messages to the JobTracker, usually every few minutes, to reassure the JobTracker that it is still alive. These message also inform the JobTracker of the number of available slots, so the JobTracker can stay up to date with where in the cluster work can be delegated. When the JobTracker tries to find somewhere to schedule a task within the MapReduce operations, it first looks for an empty slot on the same server that hosts the DataNode containing the data, and if not, it looks for an empty slot on a machine in the same rack. What is a Task Tracker in Hadoop? How many instances of TaskTracker run on a Hadoop Cluster A TaskTracker is a slave node daemon in the cluster that accepts tasks (Map, Reduce and Shuffle operations) from a JobTracker. There is only One Task Tracker process run on any hadoop slave node. Task Tracker runs on its own JVM process. Every TaskTracker is configured with a set of slots, these indicate the number of tasks that it can accept. The TaskTracker starts a separate JVM processes to do the actual work (called as Task Instance) this is to ensure that process failure does not take down the task tracker. The TaskTracker monitors these task instances, capturing the output and exit codes. When the Task instances finish, successfully or not, the task tracker notifies the JobTracker. The TaskTrackers also send out heartbeat messages to the JobTracker, usually every few minutes, to reassure the JobTracker that it is still alive.

These message also inform the JobTracker of the number of available slots, so the JobTracker can stay up to date with where in the cluster work can be delegated. What is a Task instance in Hadoop? Where does it run? Task instances are the actual MapReduce jobs which are run on each slave node. The TaskTracker starts a separate JVM processes to do the actual work (called as Task Instance) this is to ensure that process failure does not take down the task tracker. Each Task Instance runs on its own JVM process. There can be multiple processes of task instance running on a slave node. This is based on the number of slots configured on task tracker. By default a new task instance JVM process is spawned for a task. How many Daemon processes run on a Hadoop system? Hadoop is comprised of five separate daemons. Each of these daemon run in its own JVM. Following 3 Daemons run on Master nodes NameNode - This daemon stores and maintains the metadata for HDFS. Secondary NameNode - Performs housekeeping functions for the NameNode. JobTracker - Manages MapReduce jobs, distributes individual tasks to machines running the Task Tracker. Following 2 Daemons run on each Slave nodes DataNode – Stores actual HDFS data blocks. TaskTracker - Responsible for instantiating and monitoring individual Map and Reduce tasks. What is configuration of a typical slave node on Hadoop cluster? How many JVMs run on a slave node? Single instance of a Task Tracker is run on each Slave node. Task tracker is run as a separate JVM process. Single instance of a DataNode daemon is run on each Slave node. DataNode daemon is run as a separate JVM process. One or Multiple instances of Task Instance is run on each slave node. Each task instance is run as a separate JVM process. The number of Task instances can be controlled by configuration. Typically a high end machine is configured to run more task instances. What is the difference between HDFS and NAS ? The Hadoop Distributed File System (HDFS) is a distributed file system designed to run on commodity hardware. It has many similarities with existing distributed file systems. However, the differences from other distributed file systems are significant. Following are differences between HDFS and NAS In HDFS Data Blocks are distributed across local drives of all machines in a cluster. Whereas in NAS data is stored on dedicated hardware. HDFS is designed to work with MapReduce System, since computation are moved to data. NAS is not suitable for MapReduce since data is stored seperately from the computations. HDFS runs on a cluster of machines and provides redundancy usinga replication protocal. Whereas NAS is provided by a single machine therefore does not provide data redundancy. How NameNode Handles data node failures? NameNode periodically receives a Heartbeat and a Blockreport from each of the DataNodes in the cluster. Receipt of a Heartbeat implies that the DataNode is functioning properly. A Blockreport contains a list of all blocks on a DataNode. When NameNode notices that it has not recieved a hearbeat message from a data node after a certain amount of time, the data node is marked as dead. Since blocks will be under replicated the system begins replicating the blocks that were stored on the dead datanode. The NameNode Orchestrates the replication of data blocks from one datanode to another. The replication data transfer happens directly between datanodes and the data never passes through the namenode. Does MapReduce programming model provide a way for reducers to communicate with each other? In a MapReduce job can a reducer communicate with another reducer? Nope, MapReduce programming model does not allow reducers to communicate with each other. Reducers run in isolation. Can I set the number of reducers to zero? Yes, Setting the number of reducers to zero is a valid configuration in Hadoop. When you set the reducers to zero no reducers will be executed, and the output of each mapper will be stored to a separate file on HDFS.

[This is different from the condition when reducers are set to a number greater than zero and the Mappers output (intermediate data) is written to the Local file system(NOT HDFS) of each mappter slave node.] Where is the Mapper Output (intermediate kay-value data) stored ? The mapper output (intermediate data) is stored on the Local file system (NOT HDFS) of each individual mapper nodes. This is typically a temporary directory location which can be setup in config by the hadoop administrator. The intermediate data is cleaned up after the Hadoop Job completes. What are combiners? When should I use a combiner in my MapReduce Job? Combiners are used to increase the efficiency of a MapReduce program. They are used to aggregate intermediate map output locally on individual mapper outputs. Combiners can help you reduce the amount of data that needs to be transferred across to the reducers. You can use your reducer code as a combiner if the operation performed is commutative and associative. The execution of combiner is not guaranteed, Hadoop may or may not execute a combiner. Also, if required it may execute it more then 1 times. Therefore your MapReduce jobs should not depend on the combiners execution. What is Writable & WritableComparable interface? org.apache.hadoop.io.Writable is a Java interface. Any key or value type in the Hadoop Map-Reduce framework implements this interface. Implementations typically implement a static read(DataInput) method which constructs a new instance, calls readFields(DataInput) and returns the instance. org.apache.hadoop.io.WritableComparable is a Java interface. Any type which is to be used as a key in the Hadoop Map-Reduce framework should implement this interface. WritableComparable objects can be compared to each other using Comparators. What is the Hadoop MapReduce API contract for a key and value Class? The Key must implement the org.apache.hadoop.io.WritableComparable interface. The value must implement the org.apache.hadoop.io.Writable interface. What is a IdentityMapper and IdentityReducer in MapReduce ? org.apache.hadoop.mapred.lib.IdentityMapper Implements the identity function, mapping inputs directly to outputs. If MapReduce programmer do not set the Mapper Class using JobConf.setMapperClass then IdentityMapper.class is used as a default value. org.apache.hadoop.mapred.lib.IdentityReducer Performs no reduction, writing all input values directly to the output. If MapReduce programmer do not set the Reducer Class using JobConf.setReducerClass then IdentityReducer.class is used as a default value. What is the meaning of speculative execution in Hadoop? Why is it important? Speculative execution is a way of coping with individual Machine performance. In large clusters where hundreds or thousands of machines are involved there may be machines which are not performing as fast as others. This may result in delays in a full job due to only one machine not performaing well. To avoid this, speculative execution in hadoop can run multiple copies of same map or reduce task on different slave nodes. The results from first node to finish are used. When is the reducers are started in a MapReduce job? In a MapReduce job reducers do not start executing the reduce method until the all Map jobs have completed. Reducers start copying intermediate key-value pairs from the mappers as soon as they are available. The programmer defined reduce method is called only after all the mappers have finished. If reducers do not start before all mappers finish then why does the progress on MapReduce job shows something like Map(50%) Reduce(10%)? Why reducers progress percentage is displayed when mapper is not finished yet? Reducers start copying intermediate key-value pairs from the mappers as soon as they are available. The progress calculation also takes in account the processing of data transfer which is done by reduce process, therefore the reduce progress starts

showing up as soon as any intermediate key-value pair for a mapper is available to be transferred to reducer. Though the reducer progress is updated still the programmer defined reduce method is called only after all the mappers have finished. What is HDFS ? How it is different from traditional file systems? HDFS, the Hadoop Distributed File System, is responsible for storing huge data on the cluster. This is a distributed file system designed to run on commodity hardware. It has many similarities with existing distributed file systems. However, the differences from other distributed file systems are significant. HDFS is highly fault-tolerant and is designed to be deployed on low-cost hardware. HDFS provides high throughput access to application data and is suitable for applications that have large data sets. HDFS is designed to support very large files. Applications that are compatible with HDFS are those that deal with large data sets. These applications write their data only once but they read it one or more times and require these reads to be satisfied at streaming speeds. HDFS supports write-once-read-many semantics on files. What is HDFS Block size? How is it different from traditional file system block size? In HDFS data is split into blocks and distributed across multiple nodes in the cluster. Each block is typically 64Mb or 128Mb in size. Each block is replicated multiple times. Default is to replicate each block three times. Replicas are stored on different nodes. HDFS utilizes the local file system to store each HDFS block as a separate file. HDFS Block size can not be compared with the traditional file system block size. What is a NameNode? How many instances of NameNode run on a Hadoop Cluster? The NameNode is the centerpiece of an HDFS file system. It keeps the directory tree of all files in the file system, and tracks where across the cluster the file data is kept. It does not store the data of these files itself. There is only One NameNode process run on any hadoop cluster. NameNode runs on its own JVM process. In a typical production cluster its run on a separate machine. The NameNode is a Single Point of Failure for the HDFS Cluster. When the NameNode goes down, the file system goes offline. Client applications talk to the NameNode whenever they wish to locate a file, or when they want to add/copy/move/delete a file. The NameNode responds the successful requests by returning a list of relevant DataNode servers where the data lives. What is a DataNode? How many instances of DataNode run on a Hadoop Cluster? A DataNode stores data in the Hadoop File System HDFS. There is only One DataNode process run on any hadoop slave node. DataNode runs on its own JVM process. On startup, a DataNode connects to the NameNode. DataNode instances can talk to each other, this is mostly during replicating data. How the Client communicates with HDFS? The Client communication to HDFS happens using Hadoop HDFS API. Client applications talk to the NameNode whenever they wish to locate a file, or when they want to add/copy/move/delete a file on HDFS. The NameNode responds the successful requests by returning a list of relevant DataNode servers where the data lives. Client applications can talk directly to a DataNode, once the NameNode has provided the location of the data. How the HDFS Blocks are replicated? HDFS is designed to reliably store very large files across machines in a large cluster. It stores each file as a sequence of blocks; all blocks in a file except the last block are the same size. The blocks of a file are replicated for fault tolerance. The block size and replication factor are configurable per file. An application can specify the number of replicas of a file. The replication factor can be specified at file creation time and can be changed later. Files in HDFS are write-once and have strictly one writer at any time. The NameNode makes all decisions regarding replication of blocks.

HDFS uses rack-aware replica placement policy. In default configuration there are total 3 copies of a datablock on HDFS, 2 copies are stored on datanodes on same rack and 3rd copy on a different rack. Can you think of a questions which is not part of this post? Please don't forget to share it with me in comments section & I will try to include it in the list.

[axmxz]

You're shaming people for not reading the study and relying on summaries, but you neglect to mention the fact that it's 206 pages long.

Gee, I wonder why more people haven't read a 206-page study packed with encephallographic tables that mean nothing to the layman?..

So here's the abstract and the conclusion. Judge for yourselves what the study says.

Abstract

With today's wide adoption of LLM products like ChatGPT from OpenAI, humans and businesses engage and use LLMs on a daily basis. Like any other tool, it carries its own set of advantages and limitations. This study focuses on finding out the cognitive cost of using an LLM in the educational context of writing an essay.

We assigned participants to three groups: LLM group, Search Engine group, Brain-only group, where each participant used a designated tool (or no tool in the latter) to write an essay. We conducted 3 sessions with the same group assignment for each participant. In the 4th session we asked LLM group participants to use no tools (we refer to them as LLM-to-Brain), and the Brain-only group participants were asked to use LLM (Brain-to-LLM). We recruited a total of 54 participants for Sessions 1, 2, 3, and 18 participants among them completed session 4.

We used electroencephalography (EEG) to record participants' brain activity in order to assess their cognitive engagement and cognitive load, and to gain a deeper understanding of neural activations during the essay writing task. We performed NLP analysis, and we interviewed each participant after each session. We performed scoring with the help from the human teachers and an AI judge (a specially built AI agent).

We discovered a consistent homogeneity across the Named Entities Recognition (NERs), n-grams, ontology of topics within each group. EEG analysis presented robust evidence that LLM, Search Engine and Brain-only groups had significantly different neural connectivity patterns, reflecting divergent cognitive strategies. Brain connectivity systematically scaled down with the amount of external support: the Brain‑only group exhibited the strongest, widest‑ranging networks, Search Engine group showed intermediate engagement, and LLM assistance elicited the weakest overall coupling.

In session 4, LLM-to-Brain participants showed weaker neural connectivity and under-engagement of alpha and beta networks; and the Brain-to-LLM participants demonstrated higher memory recall, and re‑engagement of widespread occipito-parietal and prefrontal nodes, likely supporting the visual processing, similar to the one frequently perceived in the Search Engine group.

The reported ownership of LLM group's essays in the interviews was low. The Search Engine group had strong ownership, but lesser than the Brain-only group. The LLM group also fell behind in their ability to quote from the essays they wrote just minutes prior.

As the educational impact of LLM use only begins to settle with the general population, in this study we demonstrate the pressing matter of a likely decrease in learning skills based on the results of our study. The use of LLM had a measurable impact on participants, and while the benefits were initially apparent, as we demonstrated over the course of 4 months, the LLM group's participants performed worse than their counterparts in the Brain-only group at all levels: neural, linguistic, scoring."

Conclusion:

"As we stand at this technological crossroads, it becomes crucial to understand the full spectrum of cognitive consequences associated with LLM integration in educational and informational contexts. While these tools offer unprecedented opportunities for enhancing learning and information access, their potential impact on cognitive development, critical thinking, and intellectual independence demands a very careful consideration and continued research.

The LLM undeniably reduced the friction involved in answering participants' questions compared to the Search Engine. However, this convenience came at a cognitive cost, diminishing users' inclination to critically evaluate the LLM's output or ”opinions” (probabilistic answers based on the training datasets). This highlights a concerning evolution of the 'echo chamber' effect: rather than disappearing, it has adapted to shape user exposure through algorithmically curated content. What is ranked as “top” is ultimately influenced by the priorities of the LLM's shareholders [123, 125].

Only a few participants in the interviews mentioned that they did not follow the “thinking” aspect of the LLMs and pursued their line of ideation and thinking.

Regarding ethical considerations, participants who were in the Brain-only group reported higher satisfaction and demonstrated higher brain connectivity, compared to other groups. Essays written with the help of LLM carried a lesser significance or value to the participants (impaired ownership, Figure 8), as they spent less time on writing (Figure 33), and mostly failed to provide a quote from their essays (Session 1, Figure 6, Figure 7).

Human teachers “closed the loop” by detecting the LLM-generated essays, as they recognized the conventional structure and homogeneity of the delivered points for each essay within the topic and group.

We believe that the longitudinal studies are needed in order to understand the long-term impact of the LLMs on the human brain, before LLMs are recognized as something that is net positive for the humans."

(bolding and scaling mine)

Link to study.

So, I wouldn't say the study authors are "cautiously neutral to slightly positive on AI as a whole", as OP claims. I would say they detected quantifiable degradation in cognitive processes for those participants who used LLMs to produce essays.

LLM-users showed

a) degraded neural networking

b) no ownership of produced content

c) no critical evaluation of what LLM presented to them as fact

d) little to no recall of what was in the essay, even right after "writing" it

I.e., LLM-users did the OPPOSITE of learning.

The "benefits" of LLM? Fast answers.

The costs? All of the above.

And the fact that you are white-knighting LLMs while distorting the results of the study to people who only read journalist summaries, while shaming them for not plowing through 206 pages of data tables and scientific jargon, is a Soviet parade's worth of red flags.

Seeing a thousand "fork found in kitchen" and "believe scientists" and "we all knew about AI" tags on a post with an AI incorrectly summarizing a preprint study advising thoughtful use of AI as "AI is making your brain weak and ineffective" was making me crazy i'm sorry i tried not reblogging it like four times and every time i didn't reblog it it had like an order of magnitude more notes