151–160 of 168 posts
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The models themselves, and methods and knowledge used to build and use them, are part of the "infrastructure" being built.
You're redefining infrastructure. A supply and demand model is not infrastructure. A Taylor expansion method is not infrastructure.
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IDK, there are whole developments in FL that are just going to be bulldozed. Same thing happened in TX after the S&L crash 35 years ago.
I’m not familiar with either, but feel free to share a link. If the buildings, I assume single family houses, were built in places that few people want to live, or places people are simply forced to live because they can’t live where they want to live, then it wouldn’t shock me if someone chose the bulldozer as the best option. I’d argue that the root cause is bad land use law that doesn’t allow construction in the p…
It seems as if these are developments which didn’t get completed.
The irony is that I asked ChatGPT to make a summary in french. However, i'm tired of the AI bubble and seeing half of my twitter feed filled w AI announcements and threads
I like categorize AI outputs by prompt + context input information size vs output information size.
Summaries: output Translate: output ≈ input but in different format/language. It’s decent at this, but requires more checking.
Generative expansion: output > input. This is where the danger is. Like asking for a cheeseburger and it infers a sesame seed bun because that matches its model of a cheeseburger. Generally that’s fine. Unless you’re deathly allergic to sesame seeds. Then it’s a big problem. So you have to be careful in these cases. And, at best, the anything inferred beyond the input is average by definition. Hence AI slop.
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> What do you expect from an unregulated capitalistic system. Competition, fortunately
> Competition, fortunately so there's no competition when there are no rules and regulations... ? interesting. all those sports without rules or regulations, like american football where anything goes.
Highly regulated industries: healthcare, banking, aviation
Less regulated industries: web software, e-commerce, entertainment
It is easier for startups to get started in the latter, harder in the former.
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I'm thinking more that AGI will happen within a few years. It's one of the reasons for the present financial weirdness. Throwing so much money into current AI would make no sense if it stays as it is. It only makes sense if you think the tech will improve.
You say that arguments for AI and crypto are somewhat distinguishable while presenting arguments indistinguishable from crypto. Billions of dollars were spent on crypto as well.
In July 2023, I wrote this to a friend: "...being entirely blunt, I am an AI skeptic. I think AI and LLM are somewhat interesting but a bit like self-driving cars 5 years ago - at the peak of a VC-driven hype cycle and heading for a spectacular deflation. My main interest in technology is making innovation useful to people and as it stands I just can't conceive of a use of this which is beneficial beyond a marginal i…
AlphaFold is having a big influence in medical research. There's more to AI than chatbots.
It's quite interesting the work they are doing there now - article on it https://www.labiotech.eu/in-depth/alpha-fold-3-drug-discover... I've got a personal interest because my sister has ALS and I think an in silico breakthrough is the only thing that could fix that before her dying.
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So being a former video game journalist, makes all his arguments void. Thank you for your imput!
Pretty much. What else would you expect from a non-technical activist who's railing against science/tech? What you see is what you get.
I find that fact alone a bit alarming.
You don't need to be a technical expert to understand that it's worrying how the entire media industry is pushing for everyone, everywhere, all of the time, to lean on a tech where the biggest providers are not profitable.
You also don't need to be a technical expert to see how much of a failure it is for the entire media industry to interview Sam Altman, let him spew out utter gibberish, and not even question him on it.
>I have written hundreds of thousands of words with hundreds of citations, and still, to this day, there are people who claim I am somehow flawed in my analysis... Says the PR guy who discovered AI a couple of years ago and now knows it all and that all the AI experts are wrong. I mean it's a good rant but I don't think he gets the bigger picture.
Quoting the end of the article ad verbatim:
> And remember that you, as a regular person, can understand all of this. These people want you to believe this is black magic, that you are wrong to worry about the billions wasted or question the usefulness of these tools.
You are currently being "these people".
You don't need a huge technical baggage to understand that OpenAI still operates at a loss, and that there are at the very least some risks to consider before trying to rebuild all of society on it.
I've seen many people on HN (or maybe it was also you the other times) give this same reply again and again, "what do you know? You've not made your research, and if you made research, you don't have reliable sources, and if you have reliable sources, you're not seeing the bigger picture, and if you are seeing the bigger picture, you're not a tech guy, so what do you know?"
This essentially comes back to what the article also says, you are somehow held to crazy fucking standards if you ever say anything remotely critical, and then people will come up in HN threads and say "the human brain is basically also autocomplete, so genAI will be as good as the human brain soon™" (hey, according to your reply, shouldn't people be experts in the human brain to be able to post stuff like this?)
I believe this is a "good" bubble in the sense that the 19th century railroad bubble and original dot com bubble both ended up invested in infrastructure that created immense value. That said, all of these LLMs are interchangeable, there are no moats, and the profit will almost entirely be in the "last mile," in local subject matter experts applying this technology to their bespoke business processes.
How well used do you think those AI data centers are going to be?