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Do AI companies work?

benn.substack.com

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Re: Do AI companies work?

#31
I've found that everything that works stops being called AI.

Logic programming? AI until SQL came out. Now it's not AI.

OCR, computer algebra systems, voice recognition, checkers, machine translation, go, natural language search.

All solved, all not AI any more yet all were AI before they got solved by AI researchers.

There's even a name for it: https://en.m.wikipedia.org/wiki/AI_effect?utm_source=perplex...

Re: Do AI companies work?

#32

The competition for big LLM AI companies is not other big LLM AI companies, but rather small LLM AI companies with good enough models. This is a classic innovator dilemma. For example, I can imagine a team of cardiologists creating a fine tune LLM model.

What on earth would cardiologists use a Large Language Model for, except drafting fluff for journals?

Safely and effectively, that is. Dangerous and inappropriate is obviously a much wider set of possibilities.

Re: Do AI companies work?

#33
I get the sense that the value prop of LLMs should first be cut into two categories: coding assistant, and everything else.

LLMs as coding assistants seem to be great. Let’s say that every working programmer will need an account and will pay $10/month (or their employer will).. what’s a fair comp for valuation? GitHub? That’s about $10Bn. Atlassian? $50Bn

The “everything else” bin is hard to pin down. There are some clear automation opportunities in legal, HR/hiring, customer service, and a few other fields - things that feel like $1-$10Bn opportunities.

Sure, the costs are atrocious, but what’s the revenue story?

Re: Do AI companies work?

#34
Having been there for the dotcom boom and bust from pre-IPO Netscape to the brutal collapse of the market, it’s hard to say dotcoms don’t work. There was clearly something there of immense value, but it took a lot experimentation with business models and maturation of technology as well as the fundamental communications infrastructure of the planet. All told it feels like we’ve really only gained a smooth groove in the last 10 years.

I see no reason why AI will be particularly different. It seems difficult to make the case AI is useless, but it’s also not particularly mature with respect to fundamental models, tool chains, business models, even infrastructure.

In both cases speculative capital flowed into the entire industry, which brought us losers like pets.com but winners like Amazon.com, Netflix.com, Google.com, etc. Which of the AI companies today are the next generation of winners and losers? Who knows. And when the music stops will there be a massive reckoning? I hope not, but it’s always possible. It probably depends on how fast we converge to “what works,” how many grifters there are, how sophisticated equity investors are (and they are much more sophisticated now than they were in 1997), etc.

Re: Do AI companies work?

#35
It seems very difficult to build a moat around a product when the product is supposed to be a generally capable tool and the input is English text. The more truly generally intelligent these models get the more interchangeable they become. It's too easy to swap one out for another.

Re: Do AI companies work?

#36
post #31

I've found that everything that works stops being called AI. Logic programming? AI until SQL came out. Now it's not AI. OCR, computer algebra systems, voice recognition, checkers, machine translation, go, natural language search. All solved, all not AI any more yet all were AI before they got solved by AI researchers. There's even a name for it: https://en.m.wikipedia.org/wiki/AI_effect?utm_source=perplex...

That's a very interesting phenomenon!

Re: Do AI companies work?

#37
post #18
post #7

Earlier quoted context omitted.

I'm already keeping an eye on what NVidia gets into next... because that will inevitably be the "Next big thing". This is the third(ish) round of this pattern that I can recall, I'm probably wrong about the exact count, but NVidia is really good at figuring out how to be powering the "Next big thing". So alternatively... I should probably invest in the utilities powering whatever Datacenters are using the powerhungry…

There's a saying in the stock market that probably applies here: past performance does not indicate future performance. Getting lucky twice is a row is really really lucky. Getting lucky three times in a row is not more likely because they were lucky two times in a row

It may be getting lucky, or it may be that they have really great leadership.

Very few other large tech companies have deep technical competence at CEO level leadership

Re: Do AI companies work?

#38
ChatGPT benefits from network effects, where user feedback on the quality of its answers helps improve the model over time. This reduces its reliance on external services like ScaleAI, lowering development costs.

Larger user base = increased feedback = improved quality of answers = moat

Re: Do AI companies work?

#39
post #31

I've found that everything that works stops being called AI. Logic programming? AI until SQL came out. Now it's not AI. OCR, computer algebra systems, voice recognition, checkers, machine translation, go, natural language search. All solved, all not AI any more yet all were AI before they got solved by AI researchers. There's even a name for it: https://en.m.wikipedia.org/wiki/AI_effect?utm_source=perplex...

> Logic programming? AI until SQL came out. Now it's not AI.

logic programming is not directly linked to SQL, and has its own AI term now: https://en.wikipedia.org/wiki/GOFAI.

Re: Do AI companies work?

#40
post #31

I've found that everything that works stops being called AI. Logic programming? AI until SQL came out. Now it's not AI. OCR, computer algebra systems, voice recognition, checkers, machine translation, go, natural language search. All solved, all not AI any more yet all were AI before they got solved by AI researchers. There's even a name for it: https://en.m.wikipedia.org/wiki/AI_effect?utm_source=perplex...

On an amusing note, I've read something similar: Everything that works stops being called philosophy. Science and math being the two familiar examples.
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