Open Commons Podcast
@opencommonspod
Where AGI should be open-source
6 Following 1.4K Followers
What happens when an AI agent fails?
On OpenClaw, it spins off a mission, analyses what went wrong, and proposes a fix. Maybe a new skill. Maybe a new tool. Maybe rewriting its own loop.
@ilblackdragon on building the operating system for self-improving agents.
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The biggest open-weight models right now are still being released by the same companies building the closed ones.
Meta, NVIDIA, and even OpenAI.
If the open-source world depends on Big Tech to share its scraps, how open is it really?
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You built nothing.
You trained for nothing.
But AI is making decisions on your behalf.
@sewoong79 on why the models you use every day aren't loyal to you, and who they're actually loyal to.
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Five things we took away from our conversation with @sewoong79:
→ Your data is not anonymous
→ Synthetic data might be the real privacy fix
→ The real moat in AI is compute
→ Loyalty is AI's hardest unsolved problem
→ AI is heading toward diversity
Full recap by @0xsachi:
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The full conversation between @0xsachi and @sewoong79 is here.
An hour on inferential privacy, synthetic data, why compute is the real moat in AI, and the hardest unsolved problem in AI: loyalty.
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There are rules inside the AI you use every day that nobody outside the company that built it even knows exist.
@0xsachi and @sewoong79 get into why in our latest episode.
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