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1. look at data 2. while (true) 3. "year of agents"
1. look at data 2. while (true) 3. "year of agents"
@ericzakariasson I should acknowledge the user’s frustration
what else does claude think exists
"Manage people using RL, not SFT" Set goals, reward, but avoid reward hacking. Kimi's CEO, Zhilin Yang's thoughts on company management. Interesting to hear management skills from a machine learning mindset. It's really similar to @hwchung27's thought "don't teach, incentivize"…
you know what? screw it. theremin mode. github.com/samhenrigold/L…
worlds shortest ai safety test
claudesketball: "just imagine: - constant physical contact but in a socially acceptable way - everyone fighting over who gets to hold you - the satisfying SWISH when you go through the net - being literally essential to the game - that perfect orange leather aesthetic"
claudesketball: "just imagine: - constant physical contact but in a socially acceptable way - everyone fighting over who gets to hold you - the satisfying SWISH when you go through the net - being literally essential to the game - that perfect orange leather aesthetic"
to the absolute hilt
@realchillben chat completions is now the universal standard for LLM inference, thanks to the multi-year efforts of the openai API team. people don’t just use chat completions because they don’t want to learn responses, or because it has specific a specific openai model. they use it because…
Binary evals are great - they also make it super easy to do bounded uncertainty calculations, which imo is the clear next step after having evals at all. A judge rubric can usually be easily refactored as a set of simple yes/no.
Binary evals are great - they also make it super easy to do bounded uncertainty calculations, which imo is the clear next step after having evals at all. A judge rubric can usually be easily refactored as a set of simple yes/no.
aura-farming by keeping the version number really low
Christmas time is here Happiness and cheer Fun for all that children call Their favorite time of year
a little bug in the grass just offered me a free year of perplexity
yeah. also: a while loop with o3, the prompt to optimize, and eval results fed in on each attempt works well (auto prompt optimization is a beautiful thing)
yeah. also: a while loop with o3, the prompt to optimize, and eval results fed in on each attempt works well (auto prompt optimization is a beautiful thing)

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