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Casper Hansen

@casper_hansen_ • 11,831 subscribers

ai engineer | previously created autoawq

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Understanding OpenAI o1: Noam Brown on integrating reasoning into the model. Takeaways: - Avoid MCTS and current paradigm of using processes outside of the model during inference - Think about how to directly integrate reasoning into the model architecture

Understanding OpenAI o1: Noam Brown on integrating reasoning into the model. Takeaways: - Avoid MCTS and current paradigm of using processes outside of the model during inference - Think about how to directly integrate reasoning into the model architecture

313,371 次观看 • 1 年前

> be Sam Altman > asked what keeps him up at night about AI > 3 scary categories > 1. Bad guy gets superintelligence first > “designs a bioweapon… take down the United States power grid… break into the financial system and take everyone's money” > 2. Sci-fi loss of control > “The AI is like, oh, I don't actually want you to turn me off. I'm afraid I can't do that” > 3. Accidental takeover > “the models kind of accidentally take over the world… they just become so ingrained in society” > “There’s young people who just say like, I can't make any decision in my life without telling ChatGPT everything that's going on” We're so cooked.

> be Sam Altman > asked what keeps him up at night about AI > 3 scary categories > 1. Bad guy gets superintelligence first > “designs a bioweapon… take down the United States power grid… break into the financial system and take everyone's money” > 2. Sci-fi loss of control > “The AI is like, oh, I don't actually want you to turn me off. I'm afraid I can't do that” > 3. Accidental takeover > “the models kind of accidentally take over the world… they just become so ingrained in society” > “There’s young people who just say like, I can't make any decision in my life without telling ChatGPT everything that's going on” We're so cooked.

98,904 次观看 • 1 年前

if you loved kimi k2, you will love what another cracked chinese team is about to release. Models: - o3 competitor: multi-turn reasoning, coding, search - 106B A12B: 128 experts, 8 active, 128k context, GQA - 355B A32B: Details unknown about config

if you loved kimi k2, you will love what another cracked chinese team is about to release. Models: - o3 competitor: multi-turn reasoning, coding, search - 106B A12B: 128 experts, 8 active, 128k context, GQA - 355B A32B: Details unknown about config

95,979 次观看 • 1 年前

Vibe check on Kimi K2 vs Qwen3 Coder > a 6D projection of space and time folding in half many times over > 366 vs 382 lines of pure html, rendered in a single gradio space > winner winner chicken dinner for kimi > "visualizing the multidimensional folding of space-time fabric across six dimensions" > "each vertex represents a quantum state, each fold a temporal distortion" > no chicken dinner for qwen3 in this round > effects are just not as cool or spacy to a non-quantum guy like me Why are problems like these hard? They test extrapolation abilities - there is no plausible dataset for a 6D projection of space. Go test these yourself in Anycoder by AK

Vibe check on Kimi K2 vs Qwen3 Coder > a 6D projection of space and time folding in half many times over > 366 vs 382 lines of pure html, rendered in a single gradio space > winner winner chicken dinner for kimi > "visualizing the multidimensional folding of space-time fabric across six dimensions" > "each vertex represents a quantum state, each fold a temporal distortion" > no chicken dinner for qwen3 in this round > effects are just not as cool or spacy to a non-quantum guy like me Why are problems like these hard? They test extrapolation abilities - there is no plausible dataset for a 6D projection of space. Go test these yourself in Anycoder by AK

35,299 次观看 • 1 年前

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