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I’ve joined Anthropic

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Re: I’ve joined Anthropic

#241

Earlier quoted context omitted.

> creating magic everywhere they go Like specifically what has he done?

I can spare a minute :). This isn't exhaustive because this is just stuff I know of, obviously. - At Stanford, Led research on the first (to my knowledge) crop of joint image/text models. Super widely cited work. - At Tesla, led their whole self driving effort for a while, came up with critical techniques that allowed them to make progress (e.g., the concept of "auto labelling": using a much larger NN to generate tra…

It wasn't LSTMs, it was RNNs.

Re: I’ve joined Anthropic

#243

Earlier quoted context omitted.

I'm pretty sure the audience would follow him wherever he goes.

And that’s the point, thank you! Anthropic should capitalize on this opportunity to undercut their competitor’s platform. They don’t come around often.

Twitter is not a competitor to Anthropic, some random guy with 2m followers leaving would not undercut it in any way, and xAI is literally partnered with Anthropic and selling their compute now.

Re: I’ve joined Anthropic

#244

Anthropic is on a roll: - best harness overall (well maybe until like a month ago when gpt5.5 and codex came out) - acquires bun - acquires stainless for SDKs - deal with Elon for compute - karpathy what else did I miss?

1. Best harness? It ranks the worst with Opus in terminalbench: https://www.tbench.ai/leaderboard/terminal-bench/2.0?models=... 2. Mixed for the entire bun ecosystem, especially with the Rust, Anthropic-focused rewrite 3. Good, because Anthropic's SDK was one of the worst ones to use. 4. Deal with the guy that has a shit ton of compute around wasting money because no-one uses Grok and was frequently calling Anthropic…

You're not entirely wrong but your snide tone is annoying and unsuitable for this platform. Anyway,

1. Claude Code is widely used and beloved despite not benchmaxxing on the terminalbench like these harnesses that nobody has ever heard of or uses.

5. Karpathy's contributions are way more than CS 231n and coining vibe coding. In terms of pedagogy, his "zero to hero" videos, nanoGPT, etc, are all great. For actual work, he also built a great org at Tesla.

Re: I’ve joined Anthropic

#245
post #183
post #8

Karpathy is talented and to me he always seemed like someone who would be against building something like skynet. Anthropic is lucky to have him.

If you look at his recent content, I think he's gotten LLM Psychosis unfortunately

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Re: I’ve joined Anthropic

#246

Karpathy will start this week on Anthropic's pre-training team, which is responsible for the massive training runs that give Claude its core knowledge and capabilities, according to Anthropic. Source: https://www.axios.com/2026/05/19/anthropic-openai-karpathy-a...

Specifically it looks like he's planning to extend the ideas from https://github.com/karpathy/autoresearch into a larger effort towards recursive training improvement [1]:

> Excited to welcome Andrej to the Pretraining team! He'll be building a team focused on using Claude to accelerate pretraining research itself. I can’t think of anyone better suited to do it — looking forward to what we build together!

[1] https://x.com/nickevanjoseph/status/2056760504949842219

Re: I’ve joined Anthropic

#247

interesting signal about where AI is... It actually feels like a signal that it is in a tapering phase. As in, if it was in a growth phase a freeform, solo - collab with who you want, would be more beneficial. But in a tapering phase you'd want structure and to be in the private formal meetings. just an idea

Or, you could fit the exactly opposite story to the same data:

Growth is when you want to have institutional support, to be at the tip, backed by infinite money and best compute infra, and benefit disproportionally from compounding. Conversely tapering is when you're best flying under the radar, and there's plenty of value both in ideas and in hardware, as the leading players shed excess they can't support anymore, ...

Re: I’ve joined Anthropic

#248

interesting signal about where AI is... It actually feels like a signal that it is in a tapering phase. As in, if it was in a growth phase a freeform, solo - collab with who you want, would be more beneficial. But in a tapering phase you'd want structure and to be in the private formal meetings. just an idea

Feels like the opposite.

Stuff is still happening and you need to be part of a big lab to see it. NanoGPT is fun but at some point you need that datacenter.

Re: I’ve joined Anthropic

#249
post #233

Earlier quoted context omitted.

I judge them from a meritocratic lens. I’m hoping Karpathy will make Claude Code better, in the meantime I’m super happy seeing a small product manager like Tibo fucking crushing it on Codex

Where are you following the comings and goings of small no name product managers like it's a baseball team?

Hahaha wdym? Where have you been dude?

Joking aside, there are small communities pushing codex and AI to the bleeding edge of what's possible.

Here I'll give you an example. The last few updates from Boris at CC have been tweaks to the system prompt to make it use less compute, effectively making the system dumber, making it tell you to go to bed. I mean come on! Tibo has been impressing me, bc they're building the things these small communities are building.

One of the things these bleeding edge guys and girls have been working on is a /goal feature, essentially ralph loops. Codex released it as a feature the other day. I can't help but be impressed. As an ex-pm, this is product management.

Then you take a look at what the Chinese are doing on their own forums, and it just makes what Google and Anthropic are doing look outdated. OpenAI feels competitive, which I like. What's coming will not be kind to us, we adapt or we die.

Re: I’ve joined Anthropic

#250
post #241

Earlier quoted context omitted.

I can spare a minute :). This isn't exhaustive because this is just stuff I know of, obviously. - At Stanford, Led research on the first (to my knowledge) crop of joint image/text models. Super widely cited work. - At Tesla, led their whole self driving effort for a while, came up with critical techniques that allowed them to make progress (e.g., the concept of "auto labelling": using a much larger NN to generate tra…

It wasn't LSTMs, it was RNNs.

Thanks for correcting the title I misremembered. Fwiw, the article did culminate with LSTMs: https://karpathy.github.io/2015/05/21/rnn-effectiveness/

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EDIT: It looks like you deleted the part of your post I quoted below. So feel free to ignore my question about it, I guess.

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Not sure what you mean by

> Shows how much you know

Do you mean that the fact that I misremembered a word on the title suggests that I know very little about Karpathy's contributions to the field of neural networks?

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