601–610 of 673 posts
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The difference is that Anthropic pretend they're the good guys, while the rest don't.
Come on, Anthropic ARE the good guys if there are any. Certainly the incentives of trillions will do what money does, but they have assembled an incredibly altruistic and philosophically-minded crew. I’m rooting for them and trying real hard not to get cynical.
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Europe is not a monolith. Lots of short stints is not unusual in London.
London has not been part of Europe for a decade now. They locked themselves out in a bout of insanity
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I'm pretty sure Karpathy can have billions of capital if he wanted to.
Mo money, mo problems. Just let the dude work, he’s not starving and he’s probably enjoying his life not completely wrapped up in the stress that running a company in this market must be.
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Name three things they destroyed?
1. Figma (in progress) 2. Most entry level jobs for current graduates in white collar fields. (See hiring rates for these positions) 3. Thousands of layoffs (mostly attributed to AI use, while not 100%, the Anthropic's specific marketing push has a huge influence on this - unlike OAI and other labs) 4. All low-code products/startups 5. Web agencies who did small websites for local businesses While AI industry push is…
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> dynamic websites (with user registration, dashboards, integrations with third-party services, etc.) What do you think a CMS is?
I'm not trying to get into a semantic argument. By one definition, almost any web application can be considered a CMS. I'll reiterate my point: tech-savvy non-engineers are using AI to build the kind of dynamic web applications that many engineers don't want to believe can be built by non-engineers using AI. One marketer I know built a sales-related application for a niche industry with Claude Code and and has been a…
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Yes. I think Anthropic's success with claude code + cowork and the way it's shredding through white-collar work is basically cementing the thesis of Geoffrey Hinton's latest paper ( https://link.springer.com/content/pdf/10.1007/s12559-026-105... ). I highly recommend reading it in full, but briefly: 1. Copernican Revolution -> We aren't the center of the universe 2. The Darwinian Revolution -> We aren't the pinnacle…
> The hundreds of billions of dollars pouring into data center build-out basically hinges on this thesis, and frankly I trust the judgements of the billionaires financing these deals better than LLM-naysayers on hackernews (not to mention the non-public info they have access to). I actually think both perspectives can be true. If you look at (IMO) the most rational takes of "LLM-naysayers on hackernews", it's not tha…
Anyone else fearing Anthropic more and more each day? Not from a perspective that they are doing so well, but rather that it's like an industry tornado, sucking up and destroying everything in it's path.
Yes. I think Anthropic's success with claude code + cowork and the way it's shredding through white-collar work is basically cementing the thesis of Geoffrey Hinton's latest paper ( https://link.springer.com/content/pdf/10.1007/s12559-026-105... ). I highly recommend reading it in full, but briefly: 1. Copernican Revolution -> We aren't the center of the universe 2. The Darwinian Revolution -> We aren't the pinnacle…
Nicely put, unconsciously this was my mindset in my 20s. In my 30s, I started questioning myself how come so many stupid people achieve great success. There must be more to success than just being relatively intelligent (just look into politicians - forgive generalization).
Once a nagging thought, now I find some comfort in it.
He’s a great educator and seems like a genuinely nice guy, at least on interviews. I hope he continues with his teaching career on the side, although the crazy amount of NDAs he probably had to sign may make that effort a bit difficult.
He is a great educator, not only for ML. He taught speedcubing under the badmefisto pseudonym.
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Am I the only one who wasn’t particularly impressed by AutoResearch? If you looked at what the agent was actually doing, it was just tuning parameters mostly, not really trying different novel approaches. I couldn’t help myself but consider this mostly a very inefficient variant of hyperparameter optimization, but someone correct me if I’m wrong, I may be looking at this too pessimistic.
I didn't dig into what the actual repository was doing, but personally, I took some inspiration from the idea after reading about it and realizing that I might have been underestimating the ability of LLMs. I put a bit more work into a performance harness I was using locally and just set some agents to brainstorming and they did seem to find some great stuff. So I don't really have a stance one way or another on this…