That’s the sound of the Epstein Files deadline approaching

I think he’ll only pardon people who are currently in his favor.

It is known in Westeros that a Trump never pays his debts

Canada, are you tired of our shit yet?

My cousin monthly premium went from $8 to $640.

He’ll be uninsured

When Trump leaves office, a lot of people are going to find out that only the President had immunity for the open corruption that they’re involved in.

The comments in here are simply heartless. Where is the respect?!

The US Navy’s Gerald R. Ford Carrier Strike Group barely escaped with their lives after being threatened by two wounded men clinging to wreckage in the middle of the ocean. Were it not for the superior firepower, tonnage, air support, satellite reconnaissance and missile range of the Arleigh Burke-class guided-missile destroyers today we would be looking at a tragedy instead of a war crime.

Brave survivors, we hope you recover from the trauma that you’ve suffered today at the hand of these two mortally wounded men who were remaining buoyant in an aggressive manner.

It’s funny that you think these things are operating on napkin math. I guess it takes tens of thousands of GPUs and months of compute time to work out some napkin math.

You’re confusing a lot of things and it sounds like when you say ‘AI’ you mean ‘ChatGPT’ or generative LLM/Diffusion models. Because those large models are the only ones that use a large amount of computer resources. That doesn’t represent the entirety of neural network based machine learning (AI)

My phone uses an LLM for spellcheck, it even runs fine tuning (the thing that you’re referring to that requires ‘tens of thousands of GPUs’) on the phone processor. Writing and training text recognition AI from scratch is literally an exercise for Computer Science students to do on their personal computer. AI running object detection models runs on tiny microprocessors inside of doorbells.

My response was that you cannot eliminate AI because the algorithms that are required to build it are already known by millions of experts who can re-create it from scratch.

All of these years of AI research resulted in some napkin math that we were missing all along

As much as you’re trying to be sarcastic. Yes, that is correct.

This is not unusual in science, here’s some other napkin formulas that required years, decades and centuries to discover.

E=MC² – Years of knowledge and research to discover how mass and energy were related

√-1 = i – 1800 years is how long it took for this to be accepted

F = ma – Newton’s force equation

e^iπ + 1 = 0 – Euler’s Identity

E = hf – Plank’s discovery describing how photon energy links to frequency.

etcetc.

What does ‘AI dying’ even look like to you? If you were the dictator of Earth, how would you eliminate the knowledge from the minds of millions of experts across the world?

It’s not just math or if it is, we don’t understand the math. Math is deterministic. These models are not deterministic, an input does not always produce the same output and you can’t feed a response backwards through a model to produce the query. We struggle to make even remotely predictable changes to a model when it does something we don’t like.

Once again you’re confusing topics and also definitions. Determinism, interpretability and explainability are different things.

Neural networks are completely deterministic. A given input will always return the same output.

You’re probably referring to the trick that the LLM chatbots use where they take the output of the the model, which is a list of tokens with a score of which is most likely, and randomly select a token from that list before feeding it back into the model. This is a chatbot trick, it doesn’t happen in the model.

No machine learning model uses randomness during inference. Often people pass in random noise so the output varies, but if you pass in the same random noise then you get the same output.

‘We don’t know how it works’ isn’t exactly true. There’s a lot of work in this field (https://en.wikipedia.org/wiki/Explainable_artificial_intelligence) and there’s nothing fundamentally unknowable about these systems.

The AI industry can die like any other.

Yes, like I said, ‘The AI industry’ that produced generative LLMs and diffusion models is what you’re upset about, you’re upset that capitalists are using AI to fire workers and destroy jobs.

You’re not upset that we’ve discovered the ability to create universal approximation functions or use machines to learn from data.

You’re mad at capitalism, not AI.

Using your logic, anyone and everyone can build nukes, they’re just math and physics and the materials (like GPUs and Power) are easy to come by. We can’t erase the knowledge so let’s all sit back and enjoy the fallout.

This isn’t an argument, this is: https://en.wikipedia.org/wiki/Reductio_ad_absurdum

I said you can’t eliminate the knowledge of AI from society since anyone with a laptop can train one from scratch and the knowledge to do so is available to everyone. The knowledge for making nuclear weapons was also not eliminated despite being far more dangerous and widely condemned.

Also, irrelevant to my point but, in what world are the materials to make nuclear weapons easy to come by?

but AI is a threat even without capitalism. So far they’re making life more expensive in multiple ways for all of us with no real benefit for their existence.

No real benefit? Once again, you seem to be talking about generative AI. That’s a product, created by capitalists, using AI. It isn’t the entirety of the AI field, it isn’t even the field with the most AI workers.

AI is used in science and has facilitated incredible discoveries already.

AlphaFold revolutionized structural biology by predicting the shape of every known protein which has massively accelerated drug discovery. I’m not sure if you’re aware but there are now TWO AIDS vaccines in human trials and the researchers use machine-learning models to mine clinical data in order to spot patterns in immune responses leading promising therapies.

AI is being used to plan, execute and interpret lab work, this is a tedious and laborious task that requires a highly trained person, typically a grad student. This isn’t something that you can scale up 100x or 1000x because you can’t magic 1000 graduate students into existence. Now you can use AI to do the tedious work and a grad student can now run multiple times are labs which are at the heart of almost every scientific discovery.

Diagnostic AI, which is more objectively more accurate than human experts, is used to annotate diagnostic images in order to indicate to a doctor areas to examine. This results in lower error rates and earlier detection than human-only review.

It’s discovered new plasma physics which are key for having working fusion power. (https://www.pnas.org/doi/10.1073/pnas.2505725122)

So, while you may not think these are worth the downsides, it’s disingenuous to say that there has been no benefit.

People should keep bitching about AI until it either dies or finds an entirely new business model based on not being pieces of shit.

How can AI die? What does that even mean?

It’s math. You can write the algorithms on a napkin from memory. It cannot ‘die’. You’re tilting at windmills, there’s nothing to kill.

You’re mad at the people who are using the productivity gains resulting from this new technology and eliminating jobs for people.

That isn’t an AI problem. The same thing happens every time there is a new productivity saving device. It doesn’t result in the workers earning more money from increased productivity, it results in a huge amount of people getting fired so profits can go up.

You’re not mad at AI, you’re mad at capitalism but it sounds like you lack the perspective to understand that.

If you believe this, I got an East Wing to sell you.

I’m not even sure what you mean by equivalent. Is an airplane equivalent to aerospace engineering? They’re two different things.

AI models, the neural network ones, are essentially just a bunch of tensor multiplication. Tensors are a fundamental part of linear algebra and I hope I don’t have to keep explaining the joke.

The point is that no amount of being angry and toxic on the Internet will make AI disappear.

In addition, what most people are complaining about (the exploitative way that AI is being used) is not an AI problem, it is a capitalism problem. So, not only is the rage and anger useless but it is pointed at the wrong target.

You’re exactly right.

The unusual thing here is that production is not following demand.

It isn’t the case that RAM manufacturers are unable to buy more RAM manufacturing equipment. They’re simply choosing not to invest in new RAM manufacturing equipment because, collectively, they seem to agree that the demand is a bubble which will collapse before the investment will break even.

Since that sector typically targets a 3-5 year payback window, it means that the market is not expecting demand to continue rising long-term.

The article is simply AMD pricing the bubble uncertainty into their product. We’ll likely see the Steam Machine have a similarly inflated price (and also due to tariff uncertainty)

I didn’t say it wasn’t caused by AI.

I said that the people that show up in these threads are unusually toxic and irrational on the topic and share the same ridiculous framing that if they simply spew enough toxins on social media then Linear Algebra will uninvent itself.

Anti-ai bots are literally bots (ironic) or otherwise children/idiots who think in memes instead of rationally.

These kinds of posts always bring out the anti-ai bots, repeating the same FUD memes without reading the article or basing them in reality.

It’s not a shortage if production is normal but some greedy assholes keep buying them all. It’s a racket.

Your entire premise is built on “if production is normal” and yet in the 2nd paragraph of the article (which you read, right?) it says that production isn’t normal.

Manufacturers are intentionally not ramping up to increase production to follow the demand because of the bubble risk.

So, the price increase is created by a supply-side problem because production isn’t normal.

The supply-chain disruption centres on memory devices—especially those used in graphics-cards and AI-accelerated systems—where manufacturers remain wary of ramping up production after past crashes. The result: constrained supply, elevated costs, and a decision by AMD to transmit some of that burden across its GPU product lineup.

Id be willing to bet the price increase won’t be shared by the AI industry.

Sounds like you’re giving in to conspiratorial thinking…

Does the AI industry buy computer components on Earth still? Then they’ll be affected by price increases.

Of course they did

The bill left them exceptions for ‘national security’ and ‘protecting the identities of innocent people’.

They’re going to redact the shit out of them.

Having your allies control the press is important when trying to take over a country.

They have vacation plans that can’t be just ruined because some poors will lose access to healthcare, 85% of their campaign is funded by 5 people and they all have amazing healthcare.