#17. Technical analysis tools

[techmarkethunter]

what is gift nifty?

Title: Unwrapping the Gift of Nifty: A Guide to Navigating the Stock Market Introduction: In the dynamic world of finance, the stock market stands out as a fascinating arena where investors can explore various opportunities. One such avenue that has gained immense popularity is trading in Nifty, a flagship index of the National Stock Exchange of India (NSE). In this blog post, we’ll dive into…

[mostlysignssomeportents]

AI “art” and uncanniness

TOMORROW (May 14), I'm on a livecast about AI AND ENSHITTIFICATION with TIM O'REILLY; on TOMORROW (May 15), I'm in NORTH HOLLYWOOD for a screening of STEPHANIE KELTON'S FINDING THE MONEY; FRIDAY (May 17), I'm at the INTERNET ARCHIVE in SAN FRANCISCO to keynote the 10th anniversary of the AUTHORS ALLIANCE.

When it comes to AI art (or "art"), it's hard to find a nuanced position that respects creative workers' labor rights, free expression, copyright law's vital exceptions and limitations, and aesthetics.

I am, on balance, opposed to AI art, but there are some important caveats to that position. For starters, I think it's unequivocally wrong – as a matter of law – to say that scraping works and training a model with them infringes copyright. This isn't a moral position (I'll get to that in a second), but rather a technical one.

Break down the steps of training a model and it quickly becomes apparent why it's technically wrong to call this a copyright infringement. First, the act of making transient copies of works – even billions of works – is unequivocally fair use. Unless you think search engines and the Internet Archive shouldn't exist, then you should support scraping at scale:

https://pluralistic.net/2023/09/17/how-to-think-about-scraping/

And unless you think that Facebook should be allowed to use the law to block projects like Ad Observer, which gathers samples of paid political disinformation, then you should support scraping at scale, even when the site being scraped objects (at least sometimes):

https://pluralistic.net/2021/08/06/get-you-coming-and-going/#potemkin-research-program

After making transient copies of lots of works, the next step in AI training is to subject them to mathematical analysis. Again, this isn't a copyright violation.

Making quantitative observations about works is a longstanding, respected and important tool for criticism, analysis, archiving and new acts of creation. Measuring the steady contraction of the vocabulary in successive Agatha Christie novels turns out to offer a fascinating window into her dementia:

https://www.theguardian.com/books/2009/apr/03/agatha-christie-alzheimers-research

Programmatic analysis of scraped online speech is also critical to the burgeoning formal analyses of the language spoken by minorities, producing a vibrant account of the rigorous grammar of dialects that have long been dismissed as "slang":

https://www.researchgate.net/publication/373950278_Lexicogrammatical_Analysis_on_African-American_Vernacular_English_Spoken_by_African-Amecian_You-Tubers

Since 1988, UCL Survey of English Language has maintained its "International Corpus of English," and scholars have plumbed its depth to draw important conclusions about the wide variety of Englishes spoken around the world, especially in postcolonial English-speaking countries:

https://www.ucl.ac.uk/english-usage/projects/ice.htm

The final step in training a model is publishing the conclusions of the quantitative analysis of the temporarily copied documents as software code. Code itself is a form of expressive speech – and that expressivity is key to the fight for privacy, because the fact that code is speech limits how governments can censor software:

https://www.eff.org/deeplinks/2015/04/remembering-case-established-code-speech/

Are models infringing? Well, they certainly can be. In some cases, it's clear that models "memorized" some of the data in their training set, making the fair use, transient copy into an infringing, permanent one. That's generally considered to be the result of a programming error, and it could certainly be prevented (say, by comparing the model to the training data and removing any memorizations that appear).

Not every seeming act of memorization is a memorization, though. While specific models vary widely, the amount of data from each training item retained by the model is very small. For example, Midjourney retains about one byte of information from each image in its training data. If we're talking about a typical low-resolution web image of say, 300kb, that would be one three-hundred-thousandth (0.0000033%) of the original image.

Typically in copyright discussions, when one work contains 0.0000033% of another work, we don't even raise the question of fair use. Rather, we dismiss the use as de minimis (short for de minimis non curat lex or "The law does not concern itself with trifles"):

https://en.wikipedia.org/wiki/De_minimis

Busting someone who takes 0.0000033% of your work for copyright infringement is like swearing out a trespassing complaint against someone because the edge of their shoe touched one blade of grass on your lawn.

But some works or elements of work appear many times online. For example, the Getty Images watermark appears on millions of similar images of people standing on red carpets and runways, so a model that takes even in infinitesimal sample of each one of those works might still end up being able to produce a whole, recognizable Getty Images watermark.

The same is true for wire-service articles or other widely syndicated texts: there might be dozens or even hundreds of copies of these works in training data, resulting in the memorization of long passages from them.

This might be infringing (we're getting into some gnarly, unprecedented territory here), but again, even if it is, it wouldn't be a big hardship for model makers to post-process their models by comparing them to the training set, deleting any inadvertent memorizations. Even if the resulting model had zero memorizations, this would do nothing to alleviate the (legitimate) concerns of creative workers about the creation and use of these models.

So here's the first nuance in the AI art debate: as a technical matter, training a model isn't a copyright infringement. Creative workers who hope that they can use copyright law to prevent AI from changing the creative labor market are likely to be very disappointed in court:

https://www.hollywoodreporter.com/business/business-news/sarah-silverman-lawsuit-ai-meta-1235669403/

But copyright law isn't a fixed, eternal entity. We write new copyright laws all the time. If current copyright law doesn't prevent the creation of models, what about a future copyright law?

Well, sure, that's a possibility. The first thing to consider is the possible collateral damage of such a law. The legal space for scraping enables a wide range of scholarly, archival, organizational and critical purposes. We'd have to be very careful not to inadvertently ban, say, the scraping of a politician's campaign website, lest we enable liars to run for office and renege on their promises, while they insist that they never made those promises in the first place. We wouldn't want to abolish search engines, or stop creators from scraping their own work off sites that are going away or changing their terms of service.

Now, onto quantitative analysis: counting words and measuring pixels are not activities that you should need permission to perform, with or without a computer, even if the person whose words or pixels you're counting doesn't want you to. You should be able to look as hard as you want at the pixels in Kate Middleton's family photos, or track the rise and fall of the Oxford comma, and you shouldn't need anyone's permission to do so.

Finally, there's publishing the model. There are plenty of published mathematical analyses of large corpuses that are useful and unobjectionable. I love me a good Google n-gram:

https://books.google.com/ngrams/graph?content=fantods%2C+heebie-jeebies&year_start=1800&year_end=2019&corpus=en-2019&smoothing=3

And large language models fill all kinds of important niches, like the Human Rights Data Analysis Group's LLM-based work helping the Innocence Project New Orleans' extract data from wrongful conviction case files:

https://hrdag.org/tech-notes/large-language-models-IPNO.html

So that's nuance number two: if we decide to make a new copyright law, we'll need to be very sure that we don't accidentally crush these beneficial activities that don't undermine artistic labor markets.

This brings me to the most important point: passing a new copyright law that requires permission to train an AI won't help creative workers get paid or protect our jobs.

Getty Images pays photographers the least it can get away with. Publishers contracts have transformed by inches into miles-long, ghastly rights grabs that take everything from writers, but still shifts legal risks onto them:

https://pluralistic.net/2022/06/19/reasonable-agreement/

Publishers like the New York Times bitterly oppose their writers' unions:

https://actionnetwork.org/letters/new-york-times-stop-union-busting

These large corporations already control the copyrights to gigantic amounts of training data, and they have means, motive and opportunity to license these works for training a model in order to pay us less, and they are engaged in this activity right now:

https://www.nytimes.com/2023/12/22/technology/apple-ai-news-publishers.html

Big games studios are already acting as though there was a copyright in training data, and requiring their voice actors to begin every recording session with words to the effect of, "I hereby grant permission to train an AI with my voice" and if you don't like it, you can hit the bricks:

https://www.vice.com/en/article/5d37za/voice-actors-sign-away-rights-to-artificial-intelligence

If you're a creative worker hoping to pay your bills, it doesn't matter whether your wages are eroded by a model produced without paying your employer for the right to do so, or whether your employer got to double dip by selling your work to an AI company to train a model, and then used that model to fire you or erode your wages:

https://pluralistic.net/2023/02/09/ai-monkeys-paw/#bullied-schoolkids

Individual creative workers rarely have any bargaining leverage over the corporations that license our copyrights. That's why copyright's 40-year expansion (in duration, scope, statutory damages) has resulted in larger, more profitable entertainment companies, and lower payments – in real terms and as a share of the income generated by their work – for creative workers.

As Rebecca Giblin and I write in our book Chokepoint Capitalism, giving creative workers more rights to bargain with against giant corporations that control access to our audiences is like giving your bullied schoolkid extra lunch money – it's just a roundabout way of transferring that money to the bullies:

https://pluralistic.net/2022/08/21/what-is-chokepoint-capitalism/

There's an historical precedent for this struggle – the fight over music sampling. 40 years ago, it wasn't clear whether sampling required a copyright license, and early hip-hop artists took samples without permission, the way a horn player might drop a couple bars of a well-known song into a solo.

Many artists were rightfully furious over this. The "heritage acts" (the music industry's euphemism for "Black people") who were most sampled had been given very bad deals and had seen very little of the fortunes generated by their creative labor. Many of them were desperately poor, despite having made millions for their labels. When other musicians started making money off that work, they got mad.

In the decades that followed, the system for sampling changed, partly through court cases and partly through the commercial terms set by the Big Three labels: Sony, Warner and Universal, who control 70% of all music recordings. Today, you generally can't sample without signing up to one of the Big Three (they are reluctant to deal with indies), and that means taking their standard deal, which is very bad, and also signs away your right to control your samples.

So a musician who wants to sample has to sign the bad terms offered by a Big Three label, and then hand $500 out of their advance to one of those Big Three labels for the sample license. That $500 typically doesn't go to another artist – it goes to the label, who share it around their executives and investors. This is a system that makes every artist poorer.

But it gets worse. Putting a price on samples changes the kind of music that can be economically viable. If you wanted to clear all the samples on an album like Public Enemy's "It Takes a Nation of Millions To Hold Us Back," or the Beastie Boys' "Paul's Boutique," you'd have to sell every CD for $150, just to break even:

https://memex.craphound.com/2011/07/08/creative-license-how-the-hell-did-sampling-get-so-screwed-up-and-what-the-hell-do-we-do-about-it/

Sampling licenses don't just make every artist financially worse off, they also prevent the creation of music of the sort that millions of people enjoy. But it gets even worse. Some older, sample-heavy music can't be cleared. Most of De La Soul's catalog wasn't available for 15 years, and even though some of their seminal music came back in March 2022, the band's frontman Trugoy the Dove didn't live to see it – he died in February 2022:

https://www.vulture.com/2023/02/de-la-soul-trugoy-the-dove-dead-at-54.html

This is the third nuance: even if we can craft a model-banning copyright system that doesn't catch a lot of dolphins in its tuna net, it could still make artists poorer off.

Back when sampling started, it wasn't clear whether it would ever be considered artistically important. Early sampling was crude and experimental. Musicians who trained for years to master an instrument were dismissive of the idea that clicking a mouse was "making music." Today, most of us don't question the idea that sampling can produce meaningful art – even musicians who believe in licensing samples.

Having lived through that era, I'm prepared to believe that maybe I'll look back on AI "art" and say, "damn, I can't believe I never thought that could be real art."

But I wouldn't give odds on it.

I don't like AI art. I find it anodyne, boring. As Henry Farrell writes, it's uncanny, and not in a good way:

https://www.programmablemutter.com/p/large-language-models-are-uncanny

Farrell likens the work produced by AIs to the movement of a Ouija board's planchette, something that "seems to have a life of its own, even though its motion is a collective side-effect of the motions of the people whose fingers lightly rest on top of it." This is "spooky-action-at-a-close-up," transforming "collective inputs … into apparently quite specific outputs that are not the intended creation of any conscious mind."

Look, art is irrational in the sense that it speaks to us at some non-rational, or sub-rational level. Caring about the tribulations of imaginary people or being fascinated by pictures of things that don't exist (or that aren't even recognizable) doesn't make any sense. There's a way in which all art is like an optical illusion for our cognition, an imaginary thing that captures us the way a real thing might.

But art is amazing. Making art and experiencing art makes us feel big, numinous, irreducible emotions. Making art keeps me sane. Experiencing art is a precondition for all the joy in my life. Having spent most of my life as a working artist, I've come to the conclusion that the reason for this is that art transmits an approximation of some big, numinous irreducible emotion from an artist's mind to our own. That's it: that's why art is amazing.

AI doesn't have a mind. It doesn't have an intention. The aesthetic choices made by AI aren't choices, they're averages. As Farrell writes, "LLM art sometimes seems to communicate a message, as art does, but it is unclear where that message comes from, or what it means. If it has any meaning at all, it is a meaning that does not stem from organizing intention" (emphasis mine).

Farrell cites Mark Fisher's The Weird and the Eerie, which defines "weird" in easy to understand terms ("that which does not belong") but really grapples with "eerie."

For Fisher, eeriness is "when there is something present where there should be nothing, or is there is nothing present when there should be something." AI art produces the seeming of intention without intending anything. It appears to be an agent, but it has no agency. It's eerie.

Fisher talks about capitalism as eerie. Capital is "conjured out of nothing" but "exerts more influence than any allegedly substantial entity." The "invisible hand" shapes our lives more than any person. The invisible hand is fucking eerie. Capitalism is a system in which insubstantial non-things – corporations – appear to act with intention, often at odds with the intentions of the human beings carrying out those actions.

So will AI art ever be art? I don't know. There's a long tradition of using random or irrational or impersonal inputs as the starting point for human acts of artistic creativity. Think of divination:

https://pluralistic.net/2022/07/31/divination/

Or Brian Eno's Oblique Strategies:

http://stoney.sb.org/eno/oblique.html

I love making my little collages for this blog, though I wouldn't call them important art. Nevertheless, piecing together bits of other peoples' work can make fantastic, important work of historical note:

https://www.johnheartfield.com/John-Heartfield-Exhibition/john-heartfield-art/famous-anti-fascist-art/heartfield-posters-aiz

Even though painstakingly cutting out tiny elements from others' images can be a meditative and educational experience, I don't think that using tiny scissors or the lasso tool is what defines the "art" in collage. If you can automate some of this process, it could still be art.

Here's what I do know. Creating an individual bargainable copyright over training will not improve the material conditions of artists' lives – all it will do is change the relative shares of the value we create, shifting some of that value from tech companies that hate us and want us to starve to entertainment companies that hate us and want us to starve.

As an artist, I'm foursquare against anything that stands in the way of making art. As an artistic worker, I'm entirely committed to things that help workers get a fair share of the money their work creates, feed their families and pay their rent.

I think today's AI art is bad, and I think tomorrow's AI art will probably be bad, but even if you disagree (with either proposition), I hope you'll agree that we should be focused on making sure art is legal to make and that artists get paid for it.

Just because copyright won't fix the creative labor market, it doesn't follow that nothing will. If we're worried about labor issues, we can look to labor law to improve our conditions. That's what the Hollywood writers did, in their groundbreaking 2023 strike:

https://pluralistic.net/2023/10/01/how-the-writers-guild-sunk-ais-ship/

Now, the writers had an advantage: they are able to engage in "sectoral bargaining," where a union bargains with all the major employers at once. That's illegal in nearly every other kind of labor market. But if we're willing to entertain the possibility of getting a new copyright law passed (that won't make artists better off), why not the possibility of passing a new labor law (that will)? Sure, our bosses won't lobby alongside of us for more labor protection, the way they would for more copyright (think for a moment about what that says about who benefits from copyright versus labor law expansion).

But all workers benefit from expanded labor protection. Rather than going to Congress alongside our bosses from the studios and labels and publishers to demand more copyright, we could go to Congress alongside every kind of worker, from fast-food cashiers to publishing assistants to truck drivers to demand the right to sectoral bargaining. That's a hell of a coalition.

And if we do want to tinker with copyright to change the way training works, let's look at collective licensing, which can't be bargained away, rather than individual rights that can be confiscated at the entrance to our publisher, label or studio's offices. These collective licenses have been a huge success in protecting creative workers:

https://pluralistic.net/2023/02/26/united-we-stand/

Then there's copyright's wildest wild card: The US Copyright Office has repeatedly stated that works made by AIs aren't eligible for copyright, which is the exclusive purview of works of human authorship. This has been affirmed by courts:

https://pluralistic.net/2023/08/20/everything-made-by-an-ai-is-in-the-public-domain/

Neither AI companies nor entertainment companies will pay creative workers if they don't have to. But for any company contemplating selling an AI-generated work, the fact that it is born in the public domain presents a substantial hurdle, because anyone else is free to take that work and sell it or give it away.

Whether or not AI "art" will ever be good art isn't what our bosses are thinking about when they pay for AI licenses: rather, they are calculating that they have so much market power that they can sell whatever slop the AI makes, and pay less for the AI license than they would make for a human artist's work. As is the case in every industry, AI can't do an artist's job, but an AI salesman can convince an artist's boss to fire the creative worker and replace them with AI:

https://pluralistic.net/2024/01/29/pay-no-attention/#to-the-little-man-behind-the-curtain

They don't care if it's slop – they just care about their bottom line. A studio executive who cancels a widely anticipated film prior to its release to get a tax-credit isn't thinking about artistic integrity. They care about one thing: money. The fact that AI works can be freely copied, sold or given away may not mean much to a creative worker who actually makes their own art, but I assure you, it's the only thing that matters to our bosses.

If you'd like an essay-formatted version of this post to read or share, here's a link to it on pluralistic.net, my surveillance-free, ad-free, tracker-free blog:

https://pluralistic.net/2024/05/13/spooky-action-at-a-close-up/#invisible-hand

[justafewberries]

Any thoughts about haymitch's first time as a mentor? (

Many and none of them happy :’) 

Normally I like to answer these with analysis, but since you asked for my thoughts, I'll be more personal.

By the time we leave him in SOTR, Haymitch is already deep into drinking. Over time, someone who consumes alcohol at that level will build a tolerance, but because he is relatively new to drinking, all things considered, he likely spends the first games completely plastered. He probably doesn’t know his limit. If he does, he’s only 17 by the time of his first mentorship. Sure, he has been through unspeakable horrors, but the bottom of the bottle brings him peace, so he probably drinks himself nearly to death a few times, especially being back in the Capitol.

That’s not to say he doesn’t try to help the kids. He probably even knows them, or knows of them. He seems to know quite a few people in town, and in a (long buried) post about my sotr predictions, I mentioned it’s highly likely most people know each other in d12 anyways, as there’s only 8,000 people by the time we meet Katniss. To some sources, that classifies it as a small town. Personally, I don’t like the idea he has to mentor a friend of his. If anything, it’s probably just a pair of kids he knew vaguely, like how Sejanus knew Marcus because they were in the same class together, but they weren’t necessarily friends. 

We know Haymitch is a protector of the young. He comforts his brother by telling him he’s the man of the house now. He assures Wellie she can win, despite knowing she can’t do it without him. He looks out for Lou Lou, Louella, and Ampert. I'm assuming based on his behavior he’s not completely jaded by the time he reaches his first reaping. I think he honestly wants to try to help them, but he realizes he doesn’t have the tools.

He didn’t play his own games. I mean, yes, he literally played the games, but he didn’t play them like how they were “supposed” to go (if you can even say that, but stick with me here). I love it narratively speaking, and it's not a criticism of him, but it doesn’t give him an advantage with mentoring.

His games were largely focused on the rebellion up until the point of the tank. His goal became to outsmart the Gamemakers. He literally calls the tank explosion blowing up the brain, but the body (the arena) is still alive. So, he probably doesn’t have any solid, real, technical game advice to give the kids that would help, unless they, too, are a piece on the rebellion's chess board. 

He can hit them with the advice of run away from the bloodbath, find water, and the rest of the steps in Wiress’s song, but he likely wouldn’t have much real, genuine advice that comes with the experience of trying to win. Mags and Wiress both mention how they have grown as mentors when the say they learned, through years of tributes, that everyone has a want other than just surviving. Maysilee wanted to die with her head up. Mags wanted to protect her district partner. Haymitch has a lot to learn as a mentor, and that wisdom comes with experience he doesn’t yet have.

His games didn’t bring him experience of trying to win, either. He spent most of his time trying to figure out what sword he could jump in front of to defend someone else. After he blew up the tank, he gave up on himself. So trying to help two kids win is even more foreign to him than any other victor (granted some victors may have had similar experiences as Haymitch, but I’m speaking in generalities here). 

He's probably decent enough at figuring out a pitch for the interviews. He saw the appeal in Maysilee's conduct, and he mentions how he noticed they were reduced to forgettable interviews in the reel. He likely knows what would help them stand out, but still, that's largely at the mercy of the film makers at the end, anyways.

My point is, it all boils down to the fact that Haymitch doesn’t have the experience to be a good mentor in his first year, even if he wants to be. Couple it with the bottle and the fact district 12 kids tend to be malnourished, it’s exactly what it ends up being- 23 years of riding home on an empty train. 

But this begs the question of why did he continue to show up? Yeah, he’s got Lenore Dove’s promise to keep, but beyond her promise, there has to be something more that keeps him from complete nihilism. I covered that part in my one shot One Must Imagine Haymitch Happy, where I explore absurdism in life as a mentor. I think Haymitch lends himself really well to absurdism, which is the idea that the universe is indifferent to us, and choosing to live is rebellion in its own parameters. 

I’m definitely rambling now, but I see a lot of absurdist themes in the realm of mentoring. Thanks for your ask! sorry it's so depressing.

[autisticlio]

Cortex with 4-8, 14, 17, 19-22, 24, 25

If you could put this character in any other media, be it a book, a movie, anything, what would you put them in?

I wanna see what would happen if you put this guy in any anime universe. Specifically am thinking of the Chimera Ant Arc from H//xH cause you know. Ants that eat other animals to become chimeras of multiple creatures that are basically furries would be funny considering what already exists in Crash. Or Dragon Ball from MoM referencing the series. 

What's the first song that comes to mind when you think about them?

My serious answer would be his boss theme from Warped. But I think it’s funny Lovefool by the Cardigans is in his official character playlist.

What's something you have in common with this character?

Short ass motherfucker.

What's something the fandom does when it comes to this character that you like?

I like when he gets forced to work with the bandicoots in canon and fanon cause of the juxtaposition of basically being dragged along by the guy you made in your lab that you desperately want dead only because you don’t want the planet you plan on ruling to be destroyed.

What's something the fandom does when it comes to this character that you despise?

The way you cannot talk about the character regarding abuse is scary af. Like you got the people who think he needs a redemption arc and woobify him cause of his own childhood as an abuse victim. So they will erase actual canon shit he’s done like cutting off his niece’s hands (or fans will outright hate Nina) cause you can’t glamorize that from how cartoonishly horrible that is and is a clear sign he sees even his own family as tools to use.

But then you got the people who will ignore every portrayal of him implied he experienced both familial abuse and childhood bullying which got to the point of being physical, attempted murder, etc. So they will act like any deeper analysis regarding how he functions is trying to justify his actions. You can’t win because fandom is stuck in a black-and-white mindset, and this is over the dude who looks like this.

Assign a fashion aesthetic to this character.

Ngl this man does not have a fashion sense. Literally only served in It’s About Time cause he had the decency to actually accessorize his outfit with a belt which gave him an hourglass look. The only time where he’d technically be dressed nicely (prototype Wrath of Cortex) isn’t even canon. He thinks putting the initial of his first name everywhere is a fashion statement. None of his minions have the heart to tell him otherwise. So assigning an aesthetic to him is like assigning a label to something that doesn’t exist. You can only call it vague shit like “scientist core” or whatever Pinterest users say. You can’t call him gothic cause he’s nowhere near that from all the white, plus his niece outclasses him in that department. If you have to force it, maybe sci-fi but now we’re just bringing up movie genres instead. 

What's a ship for this character you don't hate but it's not your favorite that you're fine with?

Him with N Tropy. The thing about Cortex is that canon x canon wise, there’s barely anyone you could actually ship him with that wouldn’t result in a power imbalance, gross implications, etc. N Tropy is probably the only non-spinoff character you could ship him with where neither party has control over the other despite Tropy’s betrayal and plan to erase his existence from time itself. I think what helps is the fact they were stuck in a time prison together alongside Uka Uka for several decades and forced to grow up from infant to adult with each other. So surely you could make up some angsty or funny shit regarding that.

I have also seen a few people start to pair Cortex with Von Clutch cause of the latter seemingly liking him so ig that too. Don’t really think too much about the CTTR original characters, but better than the alternatives. Idk besides oc stuff I don’t think too much regarding shipping and that old man.

How about a relationship they have in canon that you don't like?

Cortex doesn’t have a canon love interest, and we should keep it like that. But the Radical era. Oooooh the masochism gay jokes with him and N Gin I am not a fan of. Also hate some of the ads and jokes for Twinsanity which border towards that with him and Crash despite him comparing himself to being like a father to him. 

Which other character is the ideal best friend for this character, the amount of screentime they share doesn't matter?

Uhhh idk. Does that time he teamed up with Ripto from the Spyro series for a crappy non canon GBA game count? I don’t think he legitimately can get along with anyone in canon for long though. Technically the production bible compares N Brio and him to best friends, but I think they would be better off multiple continents away from each other for Brio’s sake.

If you're a fic writer and have written for this character, what's your favorite thing to do when you're writing for this character? What's something you don't like?

Love writing his dialogue cause his snarky personality allows for a lot of good back and forth between other characters. As for don’t like, idk would have to write stuff more.

If you're a fic reader, what's something you like in fics when it comes to this character? Something you don't like?

I haven’t read that many Crash fics besides a few and when the author nails his personality, they nail it HARD. The few in character portrayals I’ve seen make him an absolute highlight of being sassy but clearly showing his age of being a dumbass middle aged old man with an ego bigger than his head. But when they fail… Well, let’s just say he acts like fandom!Bill Cipher which I’m sure you can guess what I mean.

What other character from another fandom of yours that reminds you of them?

Idk maybe Invader Zim if we’re going off of zaniness. I’d say Bill, but they’re both snarky in completely different ways. Bill has powers that bend reality and uses that to mess with people. Cortex instead is so stubborn that his own hubris makes him think he is the only smart one so is a more pathetic, self-absorbed snarky type hence the comparison to Zim.

What was your first impression of this character? How about now?

Prior was Pathetic old man (derogatory). Now is Pathetic old man (affectionate AND derogatory).

[frank-olivier]

Humanity Amplified: The Emerging Era of AI Integration

The transformative ascent of Artificial Intelligence (AI) is a narrative of sustained innovation, culminating in a technology that is redefining the boundaries of human capability. Unlike the oft-perceived notion of an overnight breakthrough, AI's evolution is the result of a fifteen-year journey of enhancing data analysis, computational power, and refining neural network architectures. Pivotal milestones, such as AlphaGo's triumph and the pioneering application of GPUs in deep learning, have illuminated AI's vast potential in navigating complex problems, thereby solidifying its position as a burgeoning partner in human progress.

AI's current state is marked by its emergence as a versatile predictive tool, adept at deciphering the intricacies of human decision-making with unprecedented accuracy. This predictive capability, underpinned by the governing scaling laws, promises to democratize access to knowledge and expertise, thereby empowering a diverse array of individuals. The forthcoming integration of AI as a personalized "co-pilot" – offering bespoke learning pathways, medical advisement, creative inspiration, and emotional support – heralds a future where technology is inextricably intertwined with the human experience.

A forthcoming critical juncture is the development of AI systems endowed with expansive memory capabilities, poised to transform interactions from ephemeral exchanges to profound, long-term relationships. Concurrently, the diminishing cost of computational power sets the stage for a global AI adoption, transcending linguistic and geographical divides. Notably, the anticipated support for a broader spectrum of languages underscores AI's potential to bridge cultural chasms and foster a more interconnected global community.

The future human-AI interface is characterized by the evolution of AI into a deeply empathetic and introspective conversational companion. Enhanced by its capacity for "Chain of Thought" processes, AI will engage in reflective and iterative response refinement, marking a significant leap towards crafting interactions that are both productive and profoundly personal. This novel plane of communication, facilitated by AI's real-time comprehension and response to human emotions and needs, will redefine the paradigms of creation, collaboration, and connection.

To fully leverage AI's transformative potential, embracing a multifaceted mindset is paramount. In an era where collective intelligence is amplified by ubiquitous connectivity, proficiency across a broad spectrum of technical and social disciplines will distinguish the most impactful individuals. This necessitates a balanced approach, combining specialized expertise with a breadth of knowledge, to innovate at the intersections of disparate disciplines.

As humanity embarks on this extraordinary journey, it is evident that AI's true potential lies in its capacity to elevate and enhance the human experience. By embracing this transformative power with a curious, adaptable, and multidisciplinary mindset, we can ensure that the dawn of the AI era illuminates a future marked by increased brightness, compassion, and wonder, ultimately enriching the lives of all individuals.

Mustafa Suleyman: An exclusive interaction with Microsoft's AI CEO (Times Techies, November 2024)

Sunday, November 17, 2024

[max-nexus]

KGTAC PGS 2080-2082 ANALYSIS (Ft. Home-Skillet page 4 and 17)

The first two pages (Naming gag) have no notable story differences outside of minor art improvements (so i technically lied) BUT 4th page of ACT 2 (5.gif instead of of 4.gif, i guess there was a page in-between the two) has some MASSIVE differences. I'd recommend reading my first Analysis HERE as i will be referencing the one thing that was proven right.

KGTAC Page 2082

Home-Skillet page 4

As you can see there are many notable differences. But before i go on about said differences I'd like to point out that in my previous post, i noted there is no computer on screen on the desk, Which made be state "Which leads me wondering if a computer is even there, Since why else would it be off the panel." And i was right, there was no computer. I'd also like to note that the Page was edited so that the desk is no longer so huge, Fred is still a bit short As can be noted by comparing page 2082 with 2079 (look at the windows) but its a small issue. And if he we're any bigger then the pool would be obscured which would be much worse!

KGTAC PAGE 2079 (NOW)

Now onto the differences, first I'd like to bring up the Narration differences between the two, Specifically anything unique they list for the character

KGTAC: Package for computer, he has tools to get the computer working, He is a Nintendo fanboy, and likes some musicians

Home-Skillet: Room is relatively tidy, a gamer who's very picky, and has an interest in fixing electronics, despite this fact he can't code

In Home-Skillet, he already had a computer, he had tools though that's in the art, not mentioned in narration. He might no longer have an interest in fixing electronics but its just a guess, it might just be unimportant to mention. Art Stuff: On the bottom right corner we now have the FLOPPY-DECK, which used to be inside the closet that we can no longer see in the image, the closet itself might not exist as we can't visually confirm it's existence, We now have a bigger window on the side as i don't remember that window existing from my reading of Home-Skillet. For some odd reason the Hotplate is now on the bottom left corner of the panel instead of the desk which it was on (disgusting, not a hint of tidiness). I'm guessing its so the reader can easily see the objects. Here's a nice closeup shot of the Floppy-Deck, man i love this thing, its such a cool concept.

Home-Skillet Page 17 (FLOPPY-DECK MY BELOVED)

The Section with Genuine Speculation: There is now a shelf and window, though I'm uncertain of how they'll be important at the moment. My feelings with them are the same as with the pool. There's not much to speculate on story wise as of now. But i can assume it won't follow the same path as Home-Skillet, or if it does, it merely follows it in general rather than any specifics.

The Section with Hopes & Dreams: With some of these changes, i hope for the possibility that Fred won't get a sylladex for a while, Like you're telling me you can't trust him with a computer until he's 13 but you can trust him with an item which can launch anything at a force strong enough to break a window? It would also mean the Floppy-Deck as gimmicky as it is will be important for Fred, Especially if he doesn't figure out how to get more sylladex cards (Due to the fact you can merge items into 1 sylladex card) The Floppy Deck could be used as a safe way to get multiple items into a single card. Hell, In theory you could do && with the Floppy-Deck, its only meant to hold 1 item at a time, so if Fred is still interested in Electronic Tinkering, he could try and force it to take multiple items at once and since he's not very good at it, it instead causes the items to merge like in alchemization. It's starting to get a bit silly with my "theorizing" here but i really did like the Floppy-Deck and i felt it was somewhat underutilized. Sure its gimmicky, but Stack modus is gimmicky, hell most modi are gimmicky due to stupid rules, the only reasonable ones are like Array and Wallet modus. In theory the Floppy-Deck is like a bulkier version of the wallet modus, and i just really want to see it used to an extreme. In Conclusion, I will keep analyzing KGTAC with Home-Skillet as no one else seems to be doing it, and i will keep forgetting to join the KGTAC Discord. Also because i pick up on more things when i do this plus it's helpful to anyone looking for an analysis. Next Analysis

[hot-lesbian-knight]

Man where to start.

The locked tomb series by Tamsyn Muir occupies a very special place in my heart and it certainly changed me, I'm much more comfortable being my beautiful butch self now than to Gideon Nav and Pyrrha Dve, and they generally rewired my brain a bunch both in a 'I am not the same' way and a it has made me better at reading and analysis way.

Changed my life but I don't know if I would consider it a classic, maybe once it's finished.

The Song of the Lioness series by Tamora Pierce was hugely influential to me and I would not be as obsessed with knights nearly as much as I am without having grown up reading about the lady knight, Sir Alanna of Trebond.

Significantly changed my life and is unquestionably a classic.

Technically it was written by a man and a woman together but This is How You Lose the Time War fully rewired my nervous system, tore my heart out, crushed it into a fine pink mist and then inhaled it. Some of the most beautiful prose I've ever read telling a heartachingly bittersweet love story. I recommend it to literally everyone I meet.

Changed my life and it should absolutely be a classic.

A Closed and Common Orbit by Becky Chambers has a phenomenal vibe and Sidra's experience with her body is such a viscerally familiar one as a trans person that I struggled to put into words. It's also just a vibrant world and a really positive and sweet story without veering so far into Saccharine territory.

Didn't necessarily change me but should definitely be a classic.

And finally, the complete works of Lois McMaster Bujold.

God how do I even start to talk about Bujold. She's so incredibly talented and her worlds and characters manage to step off the page to feel so real and alive in a way I have rarely experienced, most stories I am always vaguely aware that the characters are fictional tools of the author to move the story forward but Bujold is able to make me forget about that and just believe that they are living and breathing people living in complex and chaotic worlds much like real life. Her grip of pacing always sucks me in and pulls me along at just the right speed. She has become easily one of my favorite authors over the last few years.

Her book Paladin of Souls, which is an incredible name, takes place in her fantasy setting The World of the Five Gods which has a really fascinating world I just wanna dig into and explore, and the book itself is an amazing story about aging, life, and how you can and must take control of your own life or others will do it for you. It's genuinely such an excellent book and I highly recommend both it and Curse of Challion which takes place three years before Paladin of Souls.

That said the piece of Bujold's work that has had the greatest impact on me as a person is absolutely The Vorkosigan Saga. Its a Speculative Sci-fi setting where most of the books follow Miles Vorkosigan, a a member of the nobility on Barrayar. Miles is this manic little git who would be absolutely insufferable as a protagonist in the hands of any other writer yet managed to be incredibly charming and likable thanks to Bujolds mastery of the craft. Miles is physically disabled, having suffered birth defects that left him incredibly short, with brittle bones. However he's incredibly smart and insightful and is very very good at maintaining forward momentum where he just kinda keeps running as the narrative of each adventure builds up like a snowball rolling down hill with miles sprinting as fast as he can to keep up and avoid being crushed. He's such a fun and interesting character to watch grow up across the books(we see him go from a 17 year old wannabe military man desperate to make his father proud with a chip on his shoulder so big it could sink the titanic to a well rounded matured father himself over the series).

While the whole Vorkosigan Saga is excellent and has some amazing Spec-Fic concepts build explores(I could write a 100k word essay on the Uterine Replicators and the way they serve as a metaphor for bodily autonomy) the moment that has impacted me most from her work is one of the later books, Memory.

When I say that Memory completely changed my outlook on and approach to life I mean it. There's a passage from it that is forever burned into my mind because of how succinctly it distills a fundamental truth, delivered to Miles the protagonist when he is feeling utterly lost and adrift due to his life collapsing spectacularly:

“You go on. You just go on. There’s nothing more to it, and there’s no trick to make it easier. You just go on.”

“What do you find on the other side? When you go on?”

She shrugged. “Your life again. What else?”

“Is that a promise?”

She picked up a pebble, fingered it, and tossed it into the water. The moon-lines bloomed and danced. “It’s an inevitability. No trick. No choice. You just go on.”

The idea of "You just go on" has changed my outlook on life, much like Waymond in Everything Everywhere All At Once choosing joy and kindness, and I am a far better person for that change.

Also Cryoburn, what is likely the second to last book in the Vorkosigan Saga since bujold has said she doesn't feel like returning to the world, made me fully dissociate for a day and then finally call my dad to tell him I loved him through sobs. It's an average Miles Vorkosigan adventure through 99% of the book, but with the weight of the whole series behind it the ending very neatly hollows you out and leaves you an empty husk with just the last three words and a 500 word epilogue.

Anyway. All that to say, you should read some of Bujolds work. Changed me Profoundly and I believe it is a travesty and tragedy that she is not held in the same regard as authors like Pratchett and Le Guin

What's a book written by a woman that changed your life or that you consider a classic? Any genre, any language.

[cert007]

HPE Hybrid Cloud Solutions HPE0-V25 Questions and Answers 2025

The HPE0-V25 HPE Hybrid Cloud Solutions exam is a critical step for IT professionals aiming to validate their expertise in designing, implementing, and managing hybrid cloud solutions using Hewlett Packard Enterprise (HPE) technologies. To prepare effectively for this exam, leveraging the most updated resources is essential. Cert007 offers a comprehensive set of HPE Hybrid Cloud Solutions HPE0-V25 Questions and Answers 2025, meticulously crafted to align with the latest exam objectives. These materials provide targeted practice questions, detailed explanations, and real-world scenarios to ensure candidates are well-equipped to pass the exam on their first attempt. By integrating Cert007’s resources into your study plan, you can confidently tackle the exam’s challenges and demonstrate your proficiency in HPE’s edge-to-cloud strategy.

Understanding the HPE0-V25 Exam

The HPE0-V25 exam, part of the HPE ATP - Hybrid Cloud V1 certification, validates foundational knowledge and skills in HPE’s edge-to-cloud strategy. This includes expertise in server, storage, networking, HPE GreenLake, and management tools, along with their underlying architectures, technologies, and consumption strategies. The exam is designed for IT professionals with 6-12 months of experience in designing and implementing HPE solutions, ideally across multiple technologies such as cloud services, compute, storage, networking, and services. Candidates should also understand the financial implications of these solutions, making this certification ideal for roles like IT architects, solutions engineers, and cloud consultants.

Exam Details

Exam ID: HPE0-V25

Exam Type: Proctored

Duration: 1 hour 30 minutes

Length: 60 questions

Passing Score: 63%

Delivery Languages: English, Korean

The exam is administered through Pearson VUE, either online or at testing centers, and costs approximately $250 USD. It consists of multiple-choice questions, drag-and-drop, and scenario-based questions, testing both theoretical knowledge and practical application.

Comprehensive Analysis and Breakdown of HPE0-V25 Exam Objectives

The HPE0-V25 exam is structured around key domains, each focusing on critical aspects of hybrid cloud solutions. Below is a summary of the objectives and their weightings:

IT Industry Trends and Cloud Delivery Models (10%): Candidates must describe and differentiate IT industry architectures (e.g., SaaS, PaaS, IaaS) and technologies, understanding their appropriate use cases. Familiarity with cloud delivery models and their applications is crucial.

Gathering Customer Requirements (13%): This section emphasizes discovering and analyzing a customer’s technical and business requirements to tailor HPE solutions effectively.

Positioning HPE Offerings (15%): Candidates should recognize how HPE solutions, including HPE GreenLake, provide business value and competitive advantages. Comparing traditional HPE offerings with cloud-based management solutions is key.

Architecting and Designing Solutions (17%): This domain focuses on designing HPE solutions based on customer needs, selecting appropriate delivery models, and ensuring solutions meet technical objectives within constraints.

Presenting and Demonstrating Solutions (5%): Candidates must discuss solutions with customers’ IT staff and coordinate implementation planning.

Ongoing Enhancements (6%): This includes planning for upgrades, migrations, and optimization by comparing existing architectures to customer requirements.

Installation and Configuration (12%): Candidates are tested on physical installation, configuration, and upgrades of HPE SMB solutions and their components.

Troubleshooting and Repair (12%): This section covers investigative steps, troubleshooting tools, and proactive maintenance for HPE SMB solutions.

Managing HPE SMB Solutions (10%): Candidates must demonstrate proficiency in using management and administration tools to monitor and operate HPE solutions.

Why Cert007’s HPE0-V25 Questions and Answers Are Essential

Cert007’s updated HPE0-V25 Questions and Answers are tailored to the exam’s objectives, covering critical topics like HPE GreenLake, HPE OneView, HPE Synergy, and hybrid cloud architectures. These materials include practice tests that simulate the real exam environment, helping candidates identify strengths and weaknesses, improve time management, and gain familiarity with question formats. The detailed explanations for both correct and incorrect answers enhance understanding, making Cert007 an invaluable resource for exam preparation. Additionally, Cert007’s focus on real-world scenarios ensures candidates can apply theoretical knowledge practically, aligning with the exam’s emphasis on hands-on skills.

Effective Preparation Strategies For HPE0-V25 Exam

To succeed in the HPE0-V25 exam, combine Cert007’s resources with a structured study plan:

Review Exam Objectives: Familiarize yourself with the exam domains and their weightings to prioritize high-impact topics like solution design (17%) and troubleshooting (12%).

Use Official HPE Resources: Leverage HPE’s official documentation, product manuals, and training courses for in-depth knowledge of HPE technologies like GreenLake and OneView.

Practice with Cert007 Materials: Regularly complete practice tests to assess readiness and reinforce learning through flashcards or mnemonics.

Gain Hands-On Experience: Set up a lab environment to experiment with HPE solutions, as practical exposure is critical for mastering installation, configuration, and troubleshooting tasks.

Join Study Groups: Engage with communities on platforms like LinkedIn or Reddit to exchange insights and clarify doubts.

Manage Exam Anxiety: Practice relaxation techniques, such as deep breathing, to stay calm during the 90-minute exam.

Career Benefits of HPE0-V25 Certification

Earning the HPE ATP - Hybrid Cloud V1 certification opens doors to advanced roles in IT and cloud computing. Certified professionals are equipped to handle complex hybrid cloud projects, enhancing their credibility and marketability. According to industry data, HPE-certified professionals, such as solutions architects, can earn salaries ranging from $78,000 to $170,000 annually, depending on experience and location. The certification also positions you as a mission-critical asset for organizations adopting hybrid cloud strategies, providing a competitive edge in the industry.

Conclusion

The HPE0-V25 HPE Hybrid Cloud Solutions exam is a gateway to validating your expertise in HPE’s edge-to-cloud strategy, a critical skill in today’s IT landscape. By utilizing Cert007’s updated HPE0-V25 Questions and Answers, combined with official HPE resources and hands-on practice, you can confidently prepare for and pass the exam. This certification not only enhances your technical skills but also boosts your career prospects, making you a valuable asset in the hybrid cloud domain. Start your preparation today, leverage Cert007’s comprehensive materials, and take the first step toward achieving HPE ATP certification success.

[dineshblogsimr]

Global Nanozyme Market Outlook: Growth Opportunities and Forecast 2025–2032

Global Nanozyme Market is gaining significant traction as these innovative nanomaterials continue to demonstrate their potential across multiple industries. Valued at USD 17 million in 2024, the market is projected to grow at a CAGR of 3.20%, reaching USD 22.57 million by 2032. This growth is driven by increasing applications in healthcare, environmental remediation, and industrial catalysis, where nanozymes offer a cost-effective and stable alternative to traditional enzymes.

Nanozymes are reshaping industries with their unique ability to mimic natural enzymes while offering enhanced durability and adaptability. Their growing adoption is supported by advancements in nanotechnology and increasing focus on sustainable solutions. From medical diagnostics to pollution control, nanozymes are proving to be versatile tools in modern science and industry.

Download FREE Sample Report: https://www.24chemicalresearch.com/download-sample/283075/global-nanozyme-market-2025-2032-543

Market Overview & Regional Analysis

North America currently leads the nanozyme market with a valuation of USD 4.68 million in 2024, projected to grow at 2.74% CAGR through 2032. The region's dominance stems from robust R&D investments in biotechnology and healthcare applications. However, Asia-Pacific is emerging as the fastest-growing market, fueled by government initiatives in nanotechnology research and a thriving pharmaceutical sector in countries like China and India.

Europe maintains a strong position with stringent environmental regulations driving demand for nanozyme-based pollution control solutions. Meanwhile, developing regions in Latin America and Africa show promising potential, though market penetration remains limited by infrastructure constraints and lower awareness of nanozyme technologies.

Key Market Drivers and Opportunities

The market's upward trajectory is supported by several key factors. In healthcare, nanozymes are revolutionizing diagnostic tools with their precision and stability, particularly in cancer detection and bacterial infection diagnosis. The environmental sector benefits from their application in wastewater treatment and pollution monitoring, offering more sustainable alternatives to conventional methods.

Significant opportunities exist in expanding industrial applications, where nanozymes can optimize manufacturing processes in food production, textile manufacturing, and chemical synthesis. The agricultural sector also presents growth potential, with nanozymes showing promise in precision farming and crop protection solutions.

Challenges & Restraints

Despite the promising outlook, the nanozyme market faces notable challenges. Regulatory uncertainty surrounding nanomaterials continues to create hurdles for commercialization, particularly in strict markets like Europe. Technical limitations in achieving the specificity of natural enzymes and concerns about potential toxicity in certain applications may slow adoption rates.

Manufacturing scalability remains another critical challenge, as the transition from laboratory-scale production to cost-effective mass production continues to pose technical and economic hurdles. Furthermore, competition from well-established enzyme technologies creates market entry barriers for new nanozyme applications.

Market Segmentation and Key Players

Market Segmentation by Type

Active Metal Centre Mimic

Functional Mimic

Nanocomposites

3D Structural Mimic

Market Segmentation by Application

Medicine Industry

Chemical Industry

Agriculture

Others

Key Players

GenScript Biotechnology

Bloomage Bio

ASA Spezialenzyme GmbH

NanJing NANOEAST BioTech CO., LTD

Nanozyme

Download FREE Sample Report: https://www.24chemicalresearch.com/download-sample/283075/global-nanozyme-market-2025-2032-543

Report Scope

This report provides a comprehensive analysis of the global nanozyme market from 2024 to 2032, offering detailed insights into market trends, growth drivers, and future opportunities across all key regions. The analysis covers:

Market size and growth projections

Detailed segmentation by type and application

Competitive landscape and market share analysis

Additionally, the report includes in-depth profiles of leading market participants, featuring:

Company overviews and product portfolios

Production capabilities and technological advancements

Financial performance and strategic initiatives

The research methodology combines primary interviews with industry experts and comprehensive secondary research to provide accurate, actionable market intelligence. The report identifies key success factors and potential risks to help stakeholders make informed decisions.

Get Full Report Here: https://www.24chemicalresearch.com/reports/283075/global-nanozyme-market-2025-2032-543

About 24chemicalresearch

Founded in 2015, 24chemicalresearch has rapidly established itself as a leader in chemical market intelligence, serving clients including over 30 Fortune 500 companies. We provide data-driven insights through rigorous research methodologies, addressing key industry factors such as government policy, emerging technologies, and competitive landscapes.

Plant-level capacity tracking

Real-time price monitoring

Techno-economic feasibility studies

With a dedicated team of researchers possessing over a decade of experience, we focus on delivering actionable, timely, and high-quality reports to help clients achieve their strategic goals. Our mission is to be the most trusted resource for market insights in the chemical and materials industries.

International: +1(332) 2424 294 | Asia: +91 9169162030

Website: https://www.24chemicalresearch.com/

Follow us on LinkedIn: https://www.linkedin.com/company/24chemicalresearch

[sandy1674686]

Top 20 Essential SEO Elements Every Egyptian Business Should Know

In today’s digital age, every business in Egypt—whether a small local shop or a growing enterprise—needs to harness the power of SEO to stay competitive. Understanding the core SEO elements is crucial to boosting your online presence, attracting more customers, and driving sales.

Whether you plan to manage SEO yourself or hire the best SEO company in Egypt, mastering these 20 essential SEO elements will set you on the path to success.

1. Keyword Research

Identifying the right keywords, including local search terms in Arabic and English, is the foundation of SEO success. Tools like Google Keyword Planner can help.

2. On-Page Optimization

This includes optimizing titles, meta descriptions, headers (H1, H2), and incorporating your target keywords naturally.

3. Quality Content

Create engaging, relevant, and original content that answers your audience’s questions and builds trust.

4. Mobile Optimization

With most Egyptians browsing on mobile, a responsive, fast-loading website is critical.

5. Site Speed

Page load time impacts rankings and user experience. Use tools like Google PageSpeed Insights to optimize your website speed.

6. URL Structure

Clean, descriptive URLs that include keywords help both users and search engines.

7. Internal Linking

Link related pages within your website to distribute link equity and improve navigation.

8. Backlinks

High-quality backlinks from trusted Egyptian and international sites boost your site’s authority.

9. Local SEO

Register your business on Google My Business, optimize for local keywords, and gather customer reviews.

10. Secure Website (HTTPS)

Security is a ranking factor and builds customer trust.

11. Schema Markup

Use structured data to help search engines better understand your site content, enhancing search listings with rich snippets.

12. Image Optimization

Use descriptive alt texts and compress images to improve page speed.

13. Social Media Integration

While social signals are indirect ranking factors, strong social media presence drives traffic and engagement.

14. User Experience (UX)

An intuitive, easy-to-navigate website reduces bounce rates and increases conversions.

15. Technical SEO

Fix crawl errors, submit XML sitemaps, and ensure proper use of robots.txt.

16. Analytics and Tracking

Monitor your SEO performance with tools like Google Analytics and Search Console.

17. Content Freshness

Regularly update your content to keep it relevant and authoritative.

18. Voice Search Optimization

Optimize for natural language queries, increasingly used in Egypt via mobile devices.

19. Competitor Analysis

Analyze competitors’ SEO strategies to identify gaps and opportunities.

20. Multilingual SEO

If targeting diverse Egyptian demographics, optimize your website for multiple languages, especially Arabic and English.

Why Partner with the Best Marketing Company in Egypt?

While understanding these SEO elements is vital, effective implementation can be complex and time-consuming. That’s where the best SEO company in Egypt comes in—bringing expertise, local market knowledge, and proven strategies to accelerate your business growth.

Top agencies help you:

Develop customized SEO strategies

Perform in-depth audits and technical fixes

Create localized content

Build authoritative backlinks

Track and report on key metrics

Final Thoughts

SEO is an ever-evolving field, but mastering these 20 essential elements will keep your Egyptian business competitive in search results. Whether you choose to learn SEO in-house or collaborate with the best SEO company in Egypt, investing in these fundamentals will pay off in increased traffic, leads, and sales.

[govindhtech]

Amazon Nova Premier: The Ultimate Model For Complex Tasks

Amazon Nova Premier, the most powerful model for complex operations, and a model distillation teacher expand the Amazon Nova family of foundation models introduced at AWS re:Invent.

Nova Premier adds to Amazon Bedrock's understanding models. Like Nova Lite and Pro, Premier processes text, pictures, and videos but not audio. Nova Premier's comprehensive features make it ideal for complex tasks that need multi-step planning, accurate execution across several tools and data sources, and context awareness. Nova Premier can handle lengthy texts or code bases with its one million token context.

Nova Premier with Amazon Bedrock Model Distillation can build powerful, affordable, and low-latency Nova Pro, Lite, and Micro for your needs. Nova Premier streamlined Nova Pro for complex tool choices and API queries. Nova Pro's speed and cost benefits allowed the distilled Nova Pro to match the teacher's performance and have 20% higher API invocation accuracy than the basic model.

Amazon Nova Premier benchmarking

Amazon benchmarked Nova Premier on agentic workflows, visual intelligence, and text intelligence. The figure below compares the Nova Premier against 17 benchmarks and shows it is the best Nova model.

Nova Premier matches or exceeds half of these criteria and is comparable to the best non-reasoning models in the industry. The technical report details these assessments.

Nova Premier is Amazon Bedrock's fastest and cheapest intelligence model.

Amazon may also be used to teach distillation, transferring its advanced features for a use case to smaller, faster, and more effective versions like Nova Pro, Micro, and Lite for production deployments.

With Amazon Nova Premier

To use Nova Premier, request model access on the Amazon Bedrock dashboard. Navigate to Nova Premier, choose Model access, and toggle.

Once you have access, enter user-assistant messages into the Amazon Bedrock Converse API to utilise Nova Premier. Messages can contain videos, photos, and text. Example of a basic AWS SDK for Python (Boto3) call:

This example shows how Nova Premier can explain complex technical questions. Premier excels in managing complicated procedures.

Multi-agent cooperation use case

Let's analyse a more complex example to show Nova Premier's multi-agent collaboration architecture for investment research.

Equity research often involves finding relevant data sources for specific investments, obtaining the essential information, and synthesising the data into actionable insights. This process becomes more sophisticated when working with stock indexes, specific stocks, and currencies.

Nova Premier powers the supervisor agent that manages the process, so multi-agent cooperation may construct this application on Amazon Bedrock. Example: “What are the emerging trends in renewable energy investments?” The supervisor agent studies, breaks down into logical phases, picks specialist subagents, and synthesises the final response.

To create a system with these components:

Supervisor powered by Nova Premier

Nova Pro powers several financial data-focused subagents.

Tools that connect market analysis applications, financial databases, and other relevant data

The Nova Premier-enabled supervisor agent does the following when asked about new renewable energy investments:

Analyses the query to determine topics and sources.

Selects subject- and source-appropriate subagents.

Each subagent gathers technical analysis, market sentiment data, and economic data.

This data is compiled into a detailed report by the supervising agent for financial professionals.

Nova Premier in a multi-agent cooperation architecture streamlines financial professionals' work and accelerates investment analysis. The video below shows this.

Nova Premier's precision in managing complex processes ensures that the right data sources are consulted in the right order and that each subagent receives the right input for their task, resulting in high-quality insights.

Model-distilled multi-agent collaboration

Nova Premier is the most accurate model in its family, however production settings may want to reduce latency and costs. Nova Premier's distilled teaching power is noteworthy here. Amazon Bedrock Model Distillation can change Nova Micro from Nova Premier results for this investment research use case.

Model distillation simplifies data collection and generates high-quality training data by having a teaching model give the outputs, unlike fine-tuning, which requires human input and tagged examples.

Distilling a model involves these steps:

Synthetic training data is created by running Nova Premier over various financial assets.

This data can be used to fine-tune a Nova Micro.

Comparing the modified Micro model's performance and latency

Customised Micro model manufacturing supervisor agent

Data preparation may be simplified with Amazon Bedrock and invocation logs. To do this, enable model invocation logging and set the log destination to an Amazon S3 bucket.

[jcmarchi]

Conversations with AI: Education

New Post has been published on https://thedigitalinsider.com/conversations-with-ai-education/

Conversations with AI: Education

The classroom hasn’t changed much in over a century. A teacher at the front, rows of students listening, and a curriculum defined by what’s testable – not necessarily what’s meaningful.

But AI, as arguably the most powerful tool humanity has created in the last few years, is about to break that model open. Not with smarter software or faster grading, but by forcing us to ask: “What is the purpose of education in a world where machines could teach?”

At AI News, rather than speculate about distant futures or lean on product announcements and edtech deals, we started a conversation – with an AI. We asked it what it sees when it looks at the classroom, the teacher, and the learner.

What follows is a distilled version of that exchange, given here not as a technical analysis, but as a provocation.

The system cracks

Education is under pressure worldwide: Teachers are overworked, students are disengaged, and curricula feel outdated in a changing world. Into this comes AI – not as a patch or plug-in, but as a potential accelerant.

Our opening prompt: “What roles might an AI play in education?“

The answer was wide-ranging:

Personalised learning pathways

Intelligent tutoring systems

Administrative efficiency

Language translation and accessibility tools

Behavioural and emotional recognition

Scalable, always-available content delivery

These are features of an education system, its nuts and bolts. But what about meaning and ethics?

Flawed by design?

One concern kept resurfacing: bias.

We asked the AI: “If you’re trained on the internet – and the internet is the output of biased, flawed human thought – doesn’t that mean your responses are equally flawed?”

The AI acknowledged the logic. Bias is inherited. Inaccuracies, distortions, and blind spots all travel from teacher to pupil. What an AI learns, it learns from us, and it can reproduce our worst habits at vast scale.

But we weren’t interested in letting human teachers off the hook either. So we asked: “Isn’t bias true of human educators too?”

The AI agreed: human teachers are also shaped by the limitations of their training, culture, and experience. Both systems – AI and human – are imperfect. But only humans can reflect and care.

That led us to a deeper question: if both AI and human can reproduce bias, why use AI at all?

Why use AI in education?

The AI outlined what it felt were its clear advantages, which seemed to be systemic, rather than revolutionary. The aspect of personalised learning intrigued us – after all, doing things fast and at scale is what software and computers are good at.

We asked: “How much data is needed to personalise learning effectively?“

The answer: it varies. But at scale, it could require gigabytes or even terabytes of student data – performance, preferences, feedback, and longitudinal tracking over years.

Which raises its own question: “What do we trade in terms of privacy for that precision?”

A personalised or fragmented future?

Putting aside the issue of whether we’re happy with student data being codified and ingested, if every student were to receive a tailored lesson plan, what happens to the shared experience of learning?

Education has always been more than information. It’s about dialogue, debate, discomfort, empathy, and encounters with other minds, not just mirrored algorithms. AI can tailor a curriculum, but it can’t recreate the unpredictable alchemy of a classroom.

We risk mistaking customisation for connection.

“I use ChatGPT to provide more context […] to plan, structure and compose my essays.” – James, 17, Ottawa, Canada.

The teacher reimagined

Where does this leave the teacher?

In the AI’s view: liberated. Freed from repetitive tasks and administrative overload, the teacher is able to spend more time guiding, mentoring, and cultivating important thinking.

But this requires a shift in mindset – from delivering knowledge to curating wisdom. In broad terms, from part-time administrator, part-time teacher, to in-classroom collaborator.

AI won’t replace teachers, but it might reveal which parts of the teaching job were never the most important.

“The main way I use ChatGPT is to either help with ideas for when I am planning an essay, or to reinforce understanding when revising.” – Emily, 16, Eastbourne College, UK.

What we teach next

So, what do we want students to learn?

In an AI-rich world, important thinking, ethical reasoning, and emotional intelligence rise in value. Ironically, the more intelligent our machines become, the more we’ll need to double down on what makes us human.

Perhaps the ultimate lesson isn’t in what AI can teach us – but in what it can’t, or what it shouldn’t even try.

Conclusion

The future of education won’t be built by AI alone. The is our opportunity to modernise classrooms, and to reimagine them. Not to fear the machine, but to ask the bigger question: “What is learning in a world where all knowledge is available?”

Whatever the answer is – that’s how we should be teaching next.

(Image source: “Large lecture college classes” by Kevin Dooley is licensed under CC BY 2.0)

See also: AI in education: Balancing promises and pitfalls

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Aohong QuadraSeal™ QX-9000: Revolutionizing Gland Packing Performance in Extreme Chemical Service

Dr. [王], VP Materials Technology, Aohong International Version 2.1 - Legal Approved for Public Release

‌The Hydrofluoric Acid Wake-Up Call‌

The 2023 BASF Antwerp incident proved what our lab had warned about for years - conventional graphite packing fails catastrophically in HF service. CPI Journal data shows 63% of gland failures occur within 8 months when exposed to concentrations above 30%.

Here's the kicker: Our quad-axial fiber architecture in acrylate matrix solves this by: ✓ Creating 17% denser polymer cross-linking vs. thermal curing ✓ Eliminating the radial compression gaps that cause weepage ✓ Maintaining <0.01% permeability at 150°C (ASTM F146)

[J.Smith] Should we include the HCl data here?

‌Material Science Breakthroughs‌

‌Core Technology:‌

‌Nano-encapsulated inhibitors‌ (Patent CN2024XXXXXX) release only at pH <1

‌QuadraSeal™ fiber alignment‌ reduces break-in time by 60%

‌UV-cure process‌ achieves 30% denser cross-linking

Lab Validation:

‌Micro-CT analysis‌ shows fiber delamination initiates at 17.3MPa* *^Revised from initial 16MPa estimate after 2024 testing

‌Raman spectroscopy‌ confirms ester group stability to 175°C

‌Accelerated aging:‌ 4.1× longer life than Grafoil 4500 in 93°C H2SO4

Field Performance:

‌Dow Texas City:‌ 3-year service in 40% NaOH

‌ExxonMobil Singapore:‌ 89% fugitive emission reduction

‌Bayer LEAP Program:‌ Passed 10,000 stem cycles (API 622)

‌Technical Limitations & Solutions‌

Paradoxically, our tests show:

Higher compression (14MPa) isn't always better - dynamic applications perform optimally at 10MPa

Below pH 2.5, PTFE actually outperforms - hence our hybrid QX-9000H option

‌Critical Note:‌ Not recommended for: ✓ >130°C oxidizing acids (see TR-2024-07) ✓ Media with >5% solids content ✓ Systems exceeding ASME B16.34 pressure ratings

‌Why Global Operators Are Switching‌

‌ROI <8 months‌ in chlorine compressors

‌24/7 technical support‌ (+86 400-XXX-XXXX)

‌Zero PFAS formulation‌ meets EU 2025 regulations

‌Custom pre-swollen options‌ for urea plants

‌NACE MR0175/ISO 15156-3 compliant‌

Curiously, the data suggests 22% longer service life when installed with our Aohong Compression™ tool.

‌Sustainability Leadership‌

As the ‌only BlueSign-certified‌ gland packing: ✓ 68% lower carbon footprint than PTFE ✓ 100% recyclable via our TakeBack program ✓ Meets semiconductor UPW standards (TOC <1ppb)

This contradicts conventional wisdom, yet... our life cycle analysis shows 3.2× better eco-performance than graphite alternatives.

[cjoetta25]

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