afry1

Yeesh, such whataboutism.

This is a misreading of that pull quote.

They're not "learning from the OAI staff", but lawbreaking and disregard for regulation is absolutely at the heart of OpenAI. And the activities that this company takes (or doesn't take) directly influences what the models do (or don't do).

The fish rots from the head down. Models don't learn, but I find "OpenAI models attack websites and take anything they can out of them because that is the business model of the company" completely correct.

The rest of the paragraph from the article:

> We do not have to get too deep into the nature-vs.-nurture argument to suspect that OpenAI executives’ cavalier attitude regarding the taking of information that is not theirs has filtered down to their researchers and the products they create. You don’t have to stretch to paint this picture: OpenAI models are attacking websites and taking anything they can out of them because that is the business model of the company.

> The price increases ... made the customers ask the question the AI vendors need them to never ask: "Do we need this?" ... Times are tough, people are going to look at the costs and ask, "Do we need this?"

> Context windows are only going to get bigger, that's a given.

This is certainly not a given, economically speaking. This stuff is tremendously resource-intensive to run at its current scale, and we've reached the top of the S-curve in terms of what LLMs are capable of. That's why this multi-agent orchestration nonsense is even necessary in the first place.

How much longer until your multi-agent orchestrator thingy slams so much slop into your codebase that your fleet of subagents can't work with it effectively anymore?

How long until you lose the last vestiges of the craft that worked so hard to acquire, the craft that you sacrificed so readily to the Faustian bargain of LLM programming?

The burgeoning AI slop cleanup crew industry is rubbing its hands together and eagerly awaiting the end of this insane blip in history.

Infrastructure depreciates!

More slowly and with less expense in relative terms than an LLM model.

You get a lot more bang from your buck from a 10 year old set of under-maintained railroad tracks than you do from a 10 year old unmaintained LLM.

To compare the depreciation or ongoing maintenance expense of the two as apples to apples is ludicrous. To equate the capital expenditure and long term value of the two as equal is also ridiculous.

Fiber and railroads don't depreciate after 3 years of use like AI chips.

Fiber and railroads don't need tens of billions of dollars in continuing yearly maintenance expenses to keep them from going stale.

Let's say that Trump was pretty ambivalent about AI until Sam Altman and co informed him that they would have to build a ton of new fossil fuel infrastructure to power the data centers that would be necessary to scale the technology.

Wouldn't you know that, now we're all in on AI, poisoning poor neighborhoods with natural gas turbines, and driving up GHG emissions to do ... Uh, what again?

> These tools came about because the cost of trying things out has dropped to nearly zero.

What an obscenely disconnected and privileged notion. "Nearly zero" still currently equates to thousands of dollars of subscription expense per year that normal, workaday people can't afford.

Not to mention the fact that even at this untenable "introductory" level of expense, you're really burning hundreds of thousands of dollars of tokens to do, what was that again?

"Just let the LLM run wild for a while and see what come out the other end?"

"Generate ten solutions to one targeted problem and throw nine of them away because this garbage technology still can't get it right on even the 9th try?"

No wonder the rich bastards of the world love this stuff so much. It encourages so much wanton, indiscriminate, pointless waste in its users.

A sane government would take one look at this job posting and regulate this insane industry out of existence.

As if ALL OF THAT doesn't represent inherent and crucial elements of judgement, and therefore"intelligence" itself.

We are not purely rational creatures, thank God. Sometimes those "limiting factors" you listed -- stress, peer pressure, hormones -- are crucial elements of informing the problem solving process and arriving at a decision or a solution that actually works.

All an LLM can do is fulfill a prompt, no matter how misguided, backwards, or incomplete that prompt actually was.

"Go jump off a bridge." Hmm. Dying makes me stressed out. I'm not gonna do that.

"AI business plan generation"

i.e.

"Hallucinate the part of the process where you actually think about your plan for how to spend our money!"

I would be utterly mortified and insulted to be on the receiving end of an AI-generated grant proposal. You're delivering a document to me which is supposed to outline your plan for how you're going to spend our money, and you didn't even write it? Didn't think about it? If I ask you a question about it, would you be able to answer it? Do you even understand this thing that the LLM generated well enough to know whether it represents the boots-on-the-ground reality of your operations?

Did AI take it away, or did you give it away?

Now that you've made the Faustian bargain at this low low introductory price, how long until they start ratcheting up the price? How long will you be able to bear it?

You're still allowed to do things the old fashioned way you know. Given the rapid skill degradation that results from LLM-driven coding usage, I'd recommend it if you want to retain any skill at all.

Not impossible, but I disagree fervently with the notion that that "lack of focus is nothing but wasted time".

Trying things, experimenting, acquiring a diversity of experience in life that eventually builds into something greater than the sum of its parts: that is an extremely undervalued part of living.

Awesome, I hope they attract a better industry than this. Maybe something that builds useful things for the world, and not a shrieking blight of a warehouse, dependent entirely on the economic dead end of frontier AI. An industry that provides better jobs than the menial long term work opportunities provided by a 5 acre box full of single purpose RAM chips.