He has. He’s notably been burned a few times, one of the worst of which was 2021
TSLA. Iirc he was early but not wrong, with the 2022 collapse of all things ARKK related crashing and burning.
It’s actually extremely motivating to consider what LLM or similar AI agent could do for us if we were to free our minds from 2 decades of SaaS brainrot.
What if we ran AI locally and used it to actually do labor-intensive things with computers that make money rather than assuming everything were web-connected, paywalled, rate-limited, authenticated, tracked, and resold?
I think it’s pretty obvious but most people would prefer a regular schedule not a random and potentially psychologically jarring transportation event to start the day.
I think you’re right - some people will gamble no matter what, but removing all barriers to entry and advertising it on ESPN will certainly grow that market much more than people actively seeking out betting in shady places online.
It’s similar to weed legalization 10 years ago. Yes, it’s now much less likely that your weed will be spiked with meth or you will be robbed by your dealer, but also like 1000% more of the population smokes weed now and it has some bad social side effects that people don’t like to think about.
I think in both cases, as with prohibition, making something commonplace illegal again tends to make people do crazy things if they’re addicted, and I’d bet gambling is no different
That’s assuming Altman is sincerely going to keep trying to develop “AGI” and not try to turn OpenAI into a profitable business. You don’t need AI researchers if you get good enough video generation and pornbots to become immortally wealthy and say fuck the rest. If this is the case, OpenAI could be a completely done product, all that’s left to do is stop spending so much money on SG&A and get those revenue streams cranking.
Was thinking about this today. I had to do a simple wedding planning task - setting up my wedding website with FAQ, cobbling the guest list (together from texts, photos of my father’s address book, and excel spreadsheets), directions and advice for lodging, conjuring up a scheme to get people to use the on-site cabins, and a few other mundane tasks. No phone calls, no “deep research” just wrote browser-jockeying. Not even any code, the off-the-rack system just makes that for you (however I know for a fact an LLM would love to try to code this for me).
I know without a single doubt that I could not simply as an “AI” “agent” to do this today and expect any sort of a functional result, especially when some of these were (very simple) judgement calls or workarounds for absolutely filthy data and a janky wedding planning website UI.
A lot of BESS enclosures (sub grid scale, and grid scale) are much more primitive than a warehouse. If you don’t need to pay for HVAC, it’s free money for the operator.
You can also put internal heaters within the battery compartment itself, as with current EV batteries, and have the batteries manage their own temperature automatically.
This is correct, it should burn the retinas of anyone thinking that OAI or Anthropic are in any way worth their multi-billion dollar valuations. I liked AK’s analysis of AI for coding here (it’s overly defensive, lacks style and functionality awareness, is a cargo cultist, and/or just does it wrong a lot) but autocomplete itself is super valuable, as is the ability to generate simple frontend code and let you solve the problem of making a user interface without needing a team of people with those in-house skills.
There are many more use cases that aren't fully realised yet. With regards to coding, LLMs have shortcomings. However, there's a lot of work that can be automated. Any work that requires interaction with a computer can eventually be automated to some extent. To what extent is something only time can tell.
Sure, but you don’t need AI to automate computer work. You can make a career out of formalizing the kinds of excel-jockeying that people do for reports or data entry
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