🚀 The first realtime AI that pilots your desktop is here: Ace

Excited to share what I've been helping build at @GeneralAgentsCo over the past few months

Read on ⬇️ Ace works like you do: it sees your screen and types and clicks using your mouse and keyboard

—and it's fast. really fast. (👇 1x speed)

what most people will miss is that o1 is significant precisely because it isn’t an SFT on synthetic data

the fact that rl on CoT unconstrained works and doesn’t collapse to gibberish cot steps is really profound

more thoughts ⬇️

https://twitter.com/daveshapi/status/1834599760931569677

llms are trained on a behavioral cloning loss (predict next token) that doesn’t account for its own sampling behavior.

with smaller llms this meant
- exponential compounding error
- typical @ylecun failure cases w autoregression

🚀 I'm excited to announce the future of prompt engineering: 𝚎𝚕𝚕.

developed from ideas during my time at OpenAI, 𝚎𝚕𝚕 is light, functional lm programming library:

- automatic versioning & tracing
- rich local oss visualization tools
- multimodality native

Read on ⬇️ 𝚎𝚕𝚕 is built out of frustration for frameworks like @LangChainAI on 3 principles

- prompts are programs not strings
- prompts are parameters of machine learning models
- every call to a language model is worth its weight in credits

prompting should be readable & scientific

It's here!!🎉🚀🎉

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