Let's face the truth: a posteriori API guardrails are not the appropriate safety tool for cutting-edge models. They do not eliminate dangerous capabilities. They simply hide them behind a fragile interface that can be easily
@clementdelangue
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Open weights become the default configuration
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"Open weights are now our default configuration"
https://huggingface.co/collections/poolside/laguna-m1
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Discussion in DC on open-source AI, transparency, and concentration
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I decided to go to DC next week to discuss directly with policymakers. Not sure about the impact it will have, but with everything going on, it seems like a good time to speak more about open-source AI, transparency, the concentration of
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ABC-130k dataset on Hugging Face, massive and cool
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Very cool and massive dataset on @huggingface of course: https://huggingface.co/datasets/XDOF/ABC-130k … !
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Few understand the difficulty of the HF team, many complain about $9
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Yeah, not enough people understand how hard it is to do what the HF team does at scale (and they start complaining as soon as they're asked to pay $9 a month haha)
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Avoiding value capture by a few dominant models
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The last thing any of us wants is a world where every company in every sector gives up value to a few models that devour everything they see. If all value is captured by only a few models, the political economy simply does not
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Two paths for AI: closed code or open-source
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There is no inevitability in AI. We all have agency over what comes next: Path 1: Closed-code APIs, concentration of power, and a future decided by a handful of people in Silicon Valley and DC Path 2: Open-source AI, where everyone
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Guardrails of cutting-edge APIs: superficial and bypassable
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Many people have known for a while that the guardrails for cutting-edge model APIs are very easily bypassed, quite superficial, and impossible to fix. They are for the most part just a smokescreen and a distraction, in my opinion. We need a
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Trip to DC to discuss open-source AI and transparency
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I decided to go to DC next week to talk directly with policymakers. Not sure about the impact it will have, but with everything going on, it seems like a good time to say more about open-source AI, transparency, the concentration of
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Debate on the effect of fallback in averaged benchmarks
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To those in the replies who say 'but opus 4.8 is weaker so without fallback, the score would be even higher': this is not necessarily true because of how any benchmark works – which is an average of queries – and what is called 'the x.com/ClementDelangu…'