content.raw: I was chatting with 
content.type: text
content.value: I was chatting with 
content.raw: @peakji
content.type: mention
content.user: peakji
content.raw:  , one of the cofounders of Manu AI, who told me he was on Hugging Face (very cool!).
content.type: text
content.value:  , one of the cofounders of Manu AI, who told me he was on Hugging Face (very cool!).
content.type: new_line
content.type: new_line
content.raw: He shared an interesting insight which is that agentic capabilities might be more of an alignment problem rather than a foundational capability issue. Similar to the difference between GPT-3 and InstructGPT, some open-source foundation models are simply trained to 'answer everything in one response regardless of the complexity of the question' - after all, that's the user preference in chatbot use cases. Just a bit of post-training on agentic trajectories can make an immediate and dramatic difference. 
content.type: text
content.value: He shared an interesting insight which is that agentic capabilities might be more of an alignment problem rather than a foundational capability issue. Similar to the difference between GPT-3 and InstructGPT, some open-source foundation models are simply trained to 'answer everything in one response regardless of the complexity of the question' - after all, that's the user preference in chatbot use cases. Just a bit of post-training on agentic trajectories can make an immediate and dramatic difference. 
content.type: new_line
content.type: new_line
content.raw: As a thank you to the community, he shared 100 invite code first-come first serve, just use “HUGGINGFACE” to get access!
content.type: text
content.value: As a thank you to the community, he shared 100 invite code first-come first serve, just use “HUGGINGFACE” to get access!
rawContent: I was chatting with @peakji , one of the cofounders of Manu AI, who told me he was on Hugging Face (very cool!).
  
  He shared an interesting insight which is that agentic capabilities might be more of an alignment problem rather than a foundational capability issue. Similar to the difference between GPT-3 and InstructGPT, some open-source foundation models are simply trained to 'answer everything in one response regardless of the complexity of the question' - after all, that's the user preference in chatbot use cases. Just a bit of post-training on agentic trajectories can make an immediate and dramatic difference. 
  
  As a thank you to the community, he shared 100 invite code first-come first serve, just use “HUGGINGFACE” to get access!
reactions.reaction: 🔥
reactions.users: John6666 skew202 theainerd MLap prithivMLmods clippinglab071 Bruno Fenglyu badipathecus ngxson malhar39 delacc samuel-tallet BrigitteTousi MustBe hitchhiker3010 k3ybladewielder dantezxcd
reactions.reaction: ❤️
reactions.users: peakji Bruno Fenglyu ngxson malhar39 Smorty100 samuel-tallet MustBe dantezxcd
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reactions.users: Kseniase Smorty100 Greg-LeD MustBe dantezxcd
reactions.reaction: 🤝
reactions.users: xynic java-burn
reactions.reaction: 👀
reactions.users: dai robb-0
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