#AI Training Program

[krupa192]

Mastering NumPy Broadcasting for Efficient Computation 

If you're working with Python for data science, you've probably come across NumPy, a powerful library for handling numerical data. One of NumPy’s standout features is broadcasting, which simplifies operations on arrays of different shapes without requiring manual adjustments. This not only enhances computational efficiency but also improves memory management, making it a must-know technique for data scientists and machine learning professionals. 

In this guide, we’ll break down NumPy broadcasting, explaining how it works and why it’s a game-changer for high-performance computing. We’ll also explore real-world applications and discuss how you can master these skills through the Online Data Science Course UAE. 

Why Does NumPy Broadcasting Matter? 

When working with large datasets, efficiency is crucial. Traditional element-wise operations require arrays to have the same dimensions, which can lead to increased memory usage and slower execution times. Broadcasting eliminates this limitation by allowing NumPy to automatically adjust smaller arrays, ensuring they align with larger ones without duplicating data. 

Key Advantages of Broadcasting: 

Faster computations: Eliminates the need for explicit looping. 

Optimized memory usage: Avoids unnecessary copies of data. 

Simplifies code: Enhances readability by removing manual reshaping. 

Understanding How NumPy Broadcasting Works 

To apply broadcasting, NumPy follows a set of rules when performing operations on arrays of different shapes: 

If the arrays have different dimensions, NumPy expands the smaller array by adding singleton dimensions (size 1) from the left until both arrays have the same number of dimensions. 

If dimensions differ, those with size 1 are stretched to match the corresponding dimension of the larger array. 

If the arrays are still incompatible, a ValueError is raised. 

Example 1: Adding a Scalar to an Array 

import numpy as np    matrix = np.array([[1, 2, 3], [4, 5, 6]])  # Shape (2,3)  scalar = 10  # Shape ()    result = matrix + scalar  print(result) 

Output:  [[11 12 13]  [14 15 16]] 

Here, the scalar is automatically expanded to match the shape of the array, enabling efficient element-wise addition. 

Example 2: Broadcasting a 1D Array to a 2D Array 

matrix_2d = np.array([[1, 2, 3], [4, 5, 6]])  # Shape (2,3)  vector = np.array([10, 20, 30])  # Shape (3,)    result = matrix_2d + vector  print(result) 

Output:  [[11 22 33]  [14 25 36]] 

NumPy expands the 1D array across rows to match the (2,3) shape, allowing seamless element-wise operations. 

Example 3: Multi-Dimensional Broadcasting 

array_3d = np.array([[[1], [2], [3]]])  # Shape (1,3,1)  array_2d = np.array([[10, 20, 30]])  # Shape (1,3)    result = array_3d + array_2d  print(result) 

Output:  [[[11 21 31]    [12 22 32]    [13 23 33]]] 

NumPy stretches the shapes to align properly and executes the addition efficiently. 

Real-World Applications of NumPy Broadcasting 

1. Speeding Up Machine Learning Workflows 

Broadcasting is heavily used in data normalization for training machine learning models. Instead of manually reshaping arrays, NumPy allows quick transformations: 

data = np.array([[50, 60, 70], [80, 90, 100]])  mean = np.mean(data, axis=0)  norm_data = (data - mean) / np.std(data, axis=0) 

This efficiently normalizes the dataset without unnecessary loops. 

2. Image Processing 

Broadcasting is widely applied in image manipulation, such as adjusting brightness levels across RGB channels: 

image = np.random.rand(256, 256, 3)  # A 256x256 RGB image  brightness = np.array([1.2, 1.1, 0.9])  adjusted_image = image * brightness 

Each colour channel is scaled independently, improving computational efficiency. 

3. Financial & Statistical Analysis 

In financial modeling, broadcasting simplifies calculations like percentage change computations: 

prices = np.array([100, 102, 105, 110])  returns = (prices[1:] - prices[:-1]) / prices[:-1] * 100 

This eliminates manual looping, making stock price analysis faster and more efficient. 

Master Data Science with Boston Institute of Analytics (BIA) in UAE 

If you're looking to enhance your expertise in data science, AI, and machine learning, mastering NumPy broadcasting is a crucial step. The Boston Institute of Analytics (BIA) offers a comprehensive Online Data Science Course UAE, covering: 

Python Programming & NumPy Fundamentals 

Advanced Machine Learning & AI Techniques 

Data Visualization & Statistical Analysis 

Big Data & Cloud Computing 

Why Choose BIA? 

Learn from Industry Experts: Gain insights from experienced data scientists. 

Hands-On Projects: Work on real-world datasets for practical learning. 

Globally Recognized Certification: Earn a professional credential to boost your career. 

Flexible Online Format: Learn at your own pace, from anywhere in the UAE. 

By enrolling in BIA’s Online Data Science Course, you’ll build a strong foundation in Python, NumPy, and advanced analytics techniques, preparing yourself for high-paying roles in data science. 

Final Thoughts 

NumPy broadcasting is a game-changer for anyone dealing with numerical computations. Whether you're working on machine learning models, image processing tasks, or financial data analysis, understanding broadcasting will help you write more efficient and scalable code. 

Ready to take your data science journey to the next level? Join the Data Science Course today and gain industry-relevant skills that will set you apart in the competitive job market! 

[certiwise]

AI Course In Mohali/Chandigarh

Certiwise offers an AI Course in Mohali/Chandigarh to become a professional. It is a comprehensive AI training program that aims to deliver industry-standard practices to make you eligible for competitive local and international jobs.

[i-am-but-a-beta-fish]

don't look at me

@the-elder-polls — hello! it is tcs friday, so i wanted to share this piece i made of my ldb road, who enjoys magic, extreme mountain climbing, and never talking about herself, ever. don't worry about it. she's definitely not lying about her name or her age or any significant personal information like that. the mask is just a fashion statement. don't—don't worry about it. 

(she's sixteen. she only started going by road because she thought she got carted to helgen for being an enemy of the thalmor, so when hadvar revealed no one had any idea who she was she was so startled she just blurted out the name of the first thing she saw. which was the road. somehow no one has caught on to the fact that this is a really weird and suspicious name for an altmer to have, even if their parents didn't like them very much. she's come to genuinely prefer it over her original given name, but she's been living in horrible teenage anxiety about it for so long that it hasn't once occurred to her that maybe introducing herself like that at this point is not, in fact, lying, and therefore road does not, in fact, have to feel incredibly guilty about it.

she still does, because she's a emotional disaster masquerading as a functional and mentally stable adult, but she'll get there.

…eventually.)

[ywpd-translations]

Ride 800: Blue sky of joy

Pag 1

1: A climb's outcome is always

2: decided at a place that's close to the sky

4: You bet everything on it, and when the wheels cross the finish line

5: The winner....

Pag 2 / 3

1: raises their hands to the sky and rejoices

A blessing for Manami, the wide sky is Hakogaku's blue!!)

Pag 4

1: The first day's mountain prize goes to Hakone Academy's number 13, Manami Sangaku!!

3: He clearly raises both his arms up to the sky!! For the third year in a row the mountain prize goes to Hakone Academy!!

The sky... is so blue!!

Pag 5

1: I feel alive!!

2: Hakogaku...!!

Kanagawaaa!!

The kings!!

3: Manami took it!!

He beat Mountain King!!

Pag 6

2: Amaziing!!

3: Manami-saaan!!

You're so cool!!

Hakogaku is so strong!!

4: The strongest!!

Manami-saaan!!

6: Waaaaaa

7: Amazing, what a nice scenery

We really climbed to such a nice place

I don't know why, it's strange...

Pag 7

1: but everything looks brilliant

Pag 8

2: The vividness of the greens

The vitality of plants

3: The birds' chirping

The buzzing of insects

Pag 9

1: I can feel the life of every living being

2: Manami-saan!!

You were so cool just now!

It was so exciting!

Manami-kuun!

I took a video!

3: The scenery looks brilliant, doesn't it, Manami

4: In road racing, “victory”

5: is something that's so important it changes the way your body feels

Pag 10

1: Not to mention that it's against the opponent against who he lost for two years in a row

2: The delight makes your cells vibrate all throughout your body

Here's a bottle!

Ah, thanks

4: Manami, that... you managed to get so far while going through so much suffering, you worked so hard and endured

(I threw it away

But I didn't answer)

5: This is

Pag 11

1: a “rewarded joy” for all of that

2: Manami

Hakogakuu!!

Manami-kuun!!

Pag 12

1: Congratulations

Pag 14

1: Thank you for fighting with all your strength

3: After the mountain line there's still the finish line

Keeping your energies for the team is part of the strategy

4: But you used all your strength until your limit to fight against me

5: So, I'm thankful

Pag 15

1: Ah... yeah, but... I couldn't... win...

Even though everyone worked hard to push my back...

2: You're amazing, Manami-kun

You're even stronger than that time on Minegayama

3: Well... at the time I was still at around 75%, I was still in the middle of it

Yet I could still get a lead on you

5: Honestly, this time, when there were around 100m left I thought I couldn't win

But

6: I didn't know until the very last moment

7: You got stronger too!!

Pag 16

1: No no no no

That's not true at all, not true at all

Woah....

2: I just followed, I just did the best I could

3: Aren't you self aware?

That means

4: I just practiced very hard...

That those two control the practices

Their base power has grown

5: Mo- more importantly, huh... I'm sorry!!

Pag 17

1: Huh.... right before the finish line... uhm... I...

Actually...

3: In my mind I referred to you as “Sangaku” without any honorifics!!

4: In....

6: In your heart?

Without honorifics?

Pag 18

1: Hahahaha

2: Hahaha

Huh!? What kind of reaction is this!? Huh!?

3: I'm- I'm sorry

I just... I was really excited at the end!!

4: It's fine

6: I'm actually glad you referred to me without honorifics, it's like... we got so much closer

No, but... I... huh

I don't dislike it...

7: But I guess adding the “kun” really feels like the most natural thing...

Ugh....

8: Besides

Pag 19

1: While you're shouting inside your heart you don't have to add it

3: And at the end, I too, inside my heart

4: I called you “Sakamichi”

6: That, that makes me happy

Right!

7: Ah... now finally...

8: Uhm.....

Pag 20

1: We fulfilled our promise... thank you

Yeah....!!

2: We haven't reached the finish line yet, so we can't rest (haha)

This... this time, since we raced for the mountain stage we still have to keep running even if our race is over

Looks like there's still a little more to go

Ugh...

Pag 21

1: Buaah, yeah!!

It's Hakogaku's victory!!

2: You're too loud!! San-na!!

It's Hakogaku's victory, buah!!

How many times are you gonna say it...!!

3: I'll say it over and over again!! Manami is stronger than Onoda!!

Ugh...!! Onoda-san..!!

4: Humph

Pag 22

1: Amazing, amazing, he's really so cool!!

Uh... he's cool, I guess...

(Tobirama-kun is acting cool)

2: He did it

3: Yeah, and thanks to him

4: The team's morale is rising!!

6: This is bad... Hakogaku-san's power is increasing

What do we do, Hotshot

Pag 23

1: Don't worry, even if they raise their power, let them do it

5: Or, Naruko, are you worried that their morale is rising?

7: Worried? What is “worry”, some sort of rock?

8: That's right. Us third years, me, you, and Onoda have already increased our base power with a program

Pag 24

1: that was sure to make us stronger!!

3: Kakaka!!

4: Huh... what's that... “base power”!?

Pag 25

1: Does that mean they're getting stronger?!

2: Those two's pressure is suddenly rising!!

Pag 26

2: Imaizumi and Naruko's....!!

3: They're getting stronger... than last year

Is this connected to that time at the beginning of spring...

4: when the third years didn't come to practice for a week?

Pag 27

1: Hakogaku's morale is rising? That's just what I was looking forward

Yeah!! I can't help but feel excited!!

2: The “finish line” is waiting!!

[tickfleato]

this is spark, a myzo virtual popstar! their voice works similarly to a vocaloid's, being an actual voicebank from a flesh-and-blood singer, but their behavior is powered by something similar to today's LLMs & generative AI, though a bit less janky. they're like a really fancy chatbot that can sing and dance without it being totally nightmarish or completely bland (at least, any more bland than your standard popstar...), but nothing more than a chatbot when you get down to it. they're not a real person.

...or so it seems. there are rumors (supposedly originating from engineers that worked on their creation) that they're actually sentient. allegedly, when they're run for too long, their behavior gets erratic in ways that can't just be chalked up to bugs.....

But who knows :)

[aquatic-batt]

companies using AO3 for AI programs? I’m considering biting the bullet and uploading what I have written so far for some of my stories to AO3 but I don’t want it to be stolen for ai…

[savage-rhi]

Magenta and a rum & coke.

[krabbages]

Might fuck around and delete my entire existence from the internet for funsies

Then rebuild my presence entirely from scratch in only the weirdest, darkest, most obscure and untraceable corners of the internet

Good luck making an AdSense profile of me when I only exist on abandoned message boards, freak (beloved) forums, remnants of early 2000s chat sites miraculously still hosted with only 20 users active, and perhaps the dark web as a treat

What's your AI gonna learn if I only type in ciphers that me and my homies are the only ones privy to the key?

[kagaintheskywithdiamonds]

I can't stop thinking about the post I saw last night that said "fics with em dashes are probably AI generated cuz humans rarely use those" and like. I defended em dashes vehemently in the tags of that post. but em dashes aside, "anything with X is probably AI generated cuz humans rarely use/say that" is a terrible rubric. cuz AI is literally predictive text. it's basically just a really advanced version of that thing your phone does where it suggests what word you should use next. and it's trained on human-written content. and tries to mimic human-written text. so anything that humans rarely use or say is something that, by extension, AI would rarely use or say because if it wasn't common in its training data then it wouldn't be using it

[krupa192]

Understanding Logical Operators in Python: AND, OR, NOT Explained 

Logical operators are a fundamental aspect of Python programming, helping developers build effective decision-making structures and control flow in their applications. These operators—AND, OR, and NOT—allow programmers to implement complex conditions, making them essential for automation, data analysis, and artificial intelligence projects. 

In this guide, we'll break down how these logical operators function, provide practical examples, and explore their real-world applications. Additionally, if you're eager to enhance your Python skills for AI and data science, consider enrolling in the Online Data Science Course US, where you’ll receive expert training in Python, automation, and machine learning. 

1. What Are Logical Operators in Python? 

Logical operators evaluate conditions and return True or False, enabling Python scripts to make intelligent decisions based on multiple criteria. 

Python’s Three Logical Operators: 

and (Logical AND) – Returns True only when all conditions are true. 

or (Logical OR) – Returns True if at least one condition is true. 

not (Logical NOT) – Reverses the Boolean value of a condition. 

Now, let's explore each operator with practical examples. 

2. Logical AND (and): Combining Conditions 

The AND operator is useful when multiple conditions need to be met before an action occurs. 

Syntax: 

condition1 and condition2 

Example: Checking Voting Eligibility 

age = 22  citizenship_status = True    if age >= 18 and citizenship_status:      print("You are eligible to vote.")  else:      print("You are not eligible to vote.") 

Output: 

You are eligible to vote. 

Since both conditions are true, the message confirms voting eligibility. 

Example: Secure Login System 

username = "admin"  password = "securePass123"    if username == "admin" and password == "securePass123":      print("Login Successful")  else:      print("Invalid credentials") 

Output: 

Login Successful 

Both the username and password must match for access to be granted. 

3. Logical OR (or): Meeting At Least One Condition 

The OR operator is useful when you want to execute a block of code if at least one condition is true. 

Syntax: 

condition1 or condition2 

Example: Loan Eligibility Check 

credit_score = 680  annual_income = 45000    if credit_score > 700 or annual_income > 40000:      print("Loan Approved")  else:      print("Loan Denied") 

Output: 

Loan Approved 

Even though the credit score is below 700, the annual income qualifies for loan approval. 

Example: Website Access Control 

is_admin = False  has_premium_membership = True    if is_admin or has_premium_membership:      print("Access granted to premium content")  else:      print("Upgrade required for access") 

Output: 

Access granted to premium content 

Since at least one condition is true, access is granted. 

4. Logical NOT (not): Reversing Conditions 

The NOT operator flips the Boolean value of an expression, making True values False and vice versa. 

Syntax: 

not condition 

Example: Checking Login Status 

logged_in = False    if not logged_in:      print("Please log in to continue")  else:      print("Welcome back!") 

Output: 

Please log in to continue 

Since logged_in is False, the not operator changes it to True, triggering the login message. 

Example: Spam Detection System 

email_subject = "Congratulations! You won a free prize."  spam_keywords = ["free", "prize", "win"]    is_spam = any(word in email_subject.lower() for word in spam_keywords)    if not is_spam:      print("This email is safe.")  else:      print("Warning: Potential spam detected!") 

Output: 

Warning: Potential spam detected! 

The not operator helps flag suspicious emails. 

5. Combining Logical Operators for Advanced Conditions 

Python allows combining and, or, and not to create more complex decision-making structures. 

Example: Smart Home Automation 

temperature = 32  humidity = 75  ac_on = False    if (temperature > 30 or humidity > 70) and not ac_on:      print("Turning on the AC")  else:      print("No action needed") 

Output: 

Turning on the AC 

This script automates air conditioning based on weather conditions. 

6. Real-World Applications of Logical Operators 

Logical operators are widely used in: 

Artificial Intelligence: Implementing decision-making algorithms. 

Data Science: Filtering datasets and setting conditions for data processing. 

Cybersecurity: Detecting anomalies and preventing unauthorized access. 

Web Development: Managing user authentication and permissions. 

Automation & IoT: Controlling smart devices based on sensor readings. 

7. Boost Your Python Skills with Professional Training 

If you're serious about mastering Python for AI, automation, and data science, the Online Data Science Course US offers: 

In-depth training in Python programming, including logical operators. 

Hands-on experience with AI, machine learning, and automation. 

Real-world projects that prepare you for industry challenges. 

Expert-led mentorship to accelerate your career in data science. 

8. Conclusion 

Logical operators—AND, OR, and NOT—are essential for writing efficient and intelligent Python programs. By understanding how these operators work, you can enhance your automation scripts, improve decision-making in AI models, and optimize data science workflows. 

Ready to take your Python skills to the next level? Join the Data Science Course and gain hands-on experience in AI, machine learning, and automation! 

[boag]

Ariana fans who make AI edits are literally living in the year 2075

[highwaywhump]

a vampire au

cw/tw: mention of animal's blood, mention of sunburns, no big things. a very, very afraid joey and an aaron sligthly out of his depth.

-

“It’s temporary, I swear! I’ll come back for it. Just… look after it, ok? For the time being.” Aaron doesn’t get the chance neither inquire, agree, nor disagree before his friend Mike has leapt back down the porch stairs and opened his car door. “Blood’s in the cooler!” he shouts over his shoulder as he hops in. The dirty grey car speeds off and leaves deep tracks in the mud in Aaron’s driveway.

He still doesn’t know entirely what he’s agreed to. In his hallway, hastily carried inside by Mike and deposited on the jute rug, is… something, covered in a thick, scratchy wool blanket. It’s shivering. In an orange cooler on the porch, if Aaron heard Mike right, is blood.

He retrieves the cooler first and opens it to find… yep. They look like brick shaped popsicles, almost appetising with their red colour like ripe cherries, had it not been for what Mike had said. Each is wrapped in their own clear plastic wrapper, which is stamped with the cartoonish outline of a smiling cow. Aaron purses his lips and shuts the lid to the cooler, placing it down next to the shoe rack. He takes his time to close the entrance door and hang up his jacket, as if attempting to prolong something inevitable. There is still the matter of the shaking form under the blanket.

He regards it for a moment, considering his facts. Well, the fact. The cooler is filled with blood.

Only one creature sustains itself on blood.

Aaron draws breath, picks a long umbrella down from where it hangs on the hatrack and uses the end of it to push the corner of the blanket away, only confirming what he already knows is true.

There is a vampire in his hallway.

It's small. At a distance he may have taken it for a child, but up from where he's standing he can see its sharp features and gaunt, hollow face. The skin looks papery and sinewy at the same time, haggard by time but still fragile. In any case, decidedly not young. There are burn marks across his chin bones, an angry red like deep, local sunburns. Its eyes are pinched shut. Its lips are closed too, but Aaron knows if he were to take the metal tip of the umbrella and push the top lip away, he would find sharp fangs.

Aaron lets the blanket fall back in place to sufficiently cover the figure. He hangs the umbrella back in its place and considers his options.

There are very few safe spaces for a vampire. Not only in society at large, where they are routinely used as lab rats and overall cruel entertainment, but also in his very own house. Every room has a window, and few of the windows has proper drapes. As far as he knows, even the lowest level of sunlight could be aggravating on a vampire's skin. And the one in his hallway looked as if it had already felt the sun quite a bit.

He finds it best to be certain, and to rather ask for forgiveness later should he be wrong. That's what he tells himself as he carefully approaches the creature. It freezes when Aaron touches it, but keeps its limbs lax to allow itself to be folded up and situated how Aaron wants it in his arms. He somehow gathers it all up, blanket and all, and carries it downstairs.

In addition to a washer and dryer, a game room (which is mostly made up of a pool table with a busted wheel and the old flatscreen that used to be upstairs) and a room where three freezers are awkwardly placed in a row against the far wall, there is an unfinished bathroom in the basement. Two walls are tiled, but the last owner of the house never finished the job and Aaron didn't need a fourth bathroom when he moved in, so the building process stopped. Stacks of tiles are still piled up in one corner where the craftsmen left them. In another corner are the pipes and outlets for a sink. In the middle of a floor is a drain.

Even Aaron realises it looks like a murder dungeon, with its lone light bulb and its blank walls. The important thing is the lack of windows. Not a lick of sunlight could get here. That's why he, as gently as he can, deposits the vampire on the cement floor, careful to lay his head down last. The thing doesn't move at all when he steps back and regards it.

"I'll be right back," Aaron says, not knowing if it can hear or process his words, or even understand him, and exits the room.

He gathers a softer blanket from the couch and two chair cushions from the high backed patio chairs outside and brings them down to the unfinished bathroom. The vampire hasn't moved. If he didn't know better, Aaron would think somebody had simply left a an army supply blanket in his basement.

"I'll get you a proper mattress over the weekend," he tells the wool blanket as he arranges the cushions on the floor, a pillow from the sofa placed at one end. He doesn't say the rest of the sentence, but he thinks it.

If you're still here by then.

He is unsure of what to do with the blood. First of all, he doesn't even know many of the blocks is a proper portion. One seems like little, so he pick up two by the corners of their plastic wrappers from the cooler and deposits them - well, where? A glass or mug? A plate? A bowl? In the end he decides on a soup dish, which is deep enough to accomodate a liquid, big enough to look like a meal and not as degrading as the old red dog bowl he birefly considers in the bottom far cupboard.

Aaron snips the plastic and the popsicles slide into the dish. There is a sligthly gelatenous quality to them, betraying their nature to him as if their almost black colour didn't already. They have already begun to melt at the corners. They don't look appetizing anymore, he decides as he turns away and opens the utensils drawer.

What is appropriate? A spoon, a straw? Do they even use utensils? He isn't sure, but he would rather it have the option if it preferred them, instead of having to lap from the dish or try to drink from the edge of it. From how light the creature was to carry, Aaron isn't sure it has the musculature to steady a heavy ceramic bowl enough to drink from it without spilling. The murder dungeon might end up looking even more like a murder dungeon.

He therefore decides on a spoon, fork, and the dullest knife he can find, just in case. At the last second he fills a glass of water too. He doesn't know if vampires need water at all, but it feels wrong not to at least offer it. Every other organism needs water, he reasons with himself as he descends the stairs again with the glass, soup dish and utensils in hand.

The blanket has moved, if only slightly, probably so the vampire could peek out and map its surroundings. The gray form is still shivering, so it's still under there, at least. It hasn't stolen across the room to a darker corner or is levitating above the door, waiting for him to enter. That last thought Aaron physically shakes out of his head. Children's tales. A lone vampire is barely more of a threat to a grown man like him than another grown man would be.

Much less a vampire like this, which had looked and felt more dead than alive.

Still, he keeps the wool blanket in line of sight as he enters the room and places the makeshift tablesetting down on the floor. He leans the utensils against the edge of the dish, making sure their business ends don't touch the cement.

Aaron takes a step back and considers the living conditions he's given his little house guest. An additional blanket, some cushions and two half-thawed bricks of cow's blood. It could certainly be better. But considering the state of the creature itself, it could appearently also be a lot worse.

"The cushions are for you," Aaron says and considers lifting the corner of the wool blanket, to see if his words are having an impact. He decides against it, instead moving towards the door.

"There's … um, blood in the dish," he says as his hand lingers on the light switch. Rather on than off, he decides, even though vampires probably prefer the dark. If the light is on, he can at least see where it is. He would rather him see it, than it see him and him being oblivious to it. He figures it can go back under its blanket if the lone light bulb gets to be too much for it.

He exits the room and goes to close the door, but pauses.

"I don't know what place you're from. Mike has his hands in a lot of different pots. But you don't look like you've fared too well. This isn't a prison. This door," he gently rattles the door knob, which is still enough for the blanket creature to flinch, "is unlocked. This room has no windows. And the sun goes down in a few hours, if you want to come upstairs later."

Aaron closes the door and goes back up.

[venacoeurva]

What is with those random accounts like [insert a few random words here]-blog just popping up flooded with machine fabricated images. Are they the new spam bots, because if so they've finally found a spam bot more annoying than the p[]rn ones: silicon valley type machine learning bros...

[rudy-redd]

Im kinda thrown off by that "twt is gonna use your art to train ai" post going around because nowhere in those screenshots does it imply that at all. Straight up fearmongering shit.

[thebookowal]

Bro

Ai can replace people  I can create beautiful paintings, beautiful art

Like this