Viewing profile — chrishare

I agree that hindsight is doing work here, but DeepSeek R1 from Jan 2025 seemed to heavily leverage distillation, and 18 months is an eternity in this climate.

Super interesting. I am always wondering where the bridge between symbolic programs and inline connectionist approaches could be. LLMs can call traditional programs "in process" as…

For super simple programs, yes, this doesn't make sense. For very complicated programs, the generated code would begin to look like spaghetti so fine that it begins to look like we…

1/ Agreed, better naming convention and model layout 2/ It isn't, there would be many more comparison benchmark results if it were, but also - theatrics may be marketing 3/ Disagre…

Rough but true. This has PMF but not at this price.

Well, it probably is an advantage over the same product written in say C++, all other variables held the same - just not a big one.

Selfishly, I hope this doesn't reduce to 0 the amount of time he spends doing educational content, which seems like a particular strength of his. I presume this means Eureka Labs i…

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LLMs are definitely intelligent - just not general like humans, and very very jagged (succeedingand failing in head-scratching ways).

Yeah, but atleast the dog is going to eat your documents only, and not crap on your rug

Does the lowercase convey authenticity or lack of care?

Good doesn't wash away bad

Link?

It's this I believe: https://www.w3.org/TR/vc-data-model-2.0/

This is certainly no fatal for OpenAI, but there is some irony that Altman and Musk are both struggling.

All of this is true and credit assignment is hard, but the brutal competition between Chinese firms, especially in manufacturing, differentiates them from and advances them over ec…

It's not illegal, you just get shot is all

I think the Tailwind case is more complicated than this, but yes - I think it's reasonable to want to contribute something to the common good but fear that the value will dispropor…

Not at all - it's legal, but it doesn't garner goodwill either.

When training for muscle size atleast, but not strength. Presumably there are increased injury risks overall when lifting heavy (based on a brief search).

Well, many companies are still mispriced, but stock markets today look a lot more like voting machines than weighing machines - so it takes more time to be proven right (or wrong).…

Have you tried not being poor?

Sergey Levine, one of the co-founders, sat for an excellent Dwarkesh podcast episode this year, which I thoroughly recommend.

He's referring to humanity, I believe

Yeah, more or less. Being in the application space as well as the inference space hedges a variety of risks, that inference margins will squeeze, that competition will continue to …