BrowserBC, a new open-source project from the ViDA team, explores a more efficient way to run web agents. Instead of using a frontier model for every step of an agent workflow, BrowserBC records a human web flow once with a stronger model, distills it into a reusable skill, and
OPEN SOURCE
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Free online guide for running LLMs locally on all hardware
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Wanna replace Anthropic/OpenAI? START WITH THIS The bible for running LLMs locally is now available online to read for free Covers what to use on – Laptop / edge / odd hardware
– Mac-first workflows
– Single RTX GPUs
– 2-4+ NVIDIA / CUDA GPUs
– General production serving
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Open models have better dollar per token than closed APIs
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An interesting way to take Noam at his word in regards to always keeping a constant inference budget for any eval reporting –
— swyx @aiDotEngineer WF (@swyx) 27 juin 2026
is that open models have a lot more dollar per token mileage than closed model APIs. So anyone launching an open model today or situationally… https://t.co/vGl7tQZgWnAn interesting way to take Noam at his word in regards to always keeping a constant inference budget for any eval reporting – is that open models have a lot more dollar per token mileage than closed model APIs. So anyone launching an open model today or situationally
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Debate on open vs frontier model capability gap and switching difficulty
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That is probably right on where we disagree. I believe the capability delta outside of coding between open & frontier is much larger. I also am suspicious that open models will continue to stay at the frontier. I also think switching between models is harder for many tasks in
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Open weights models debate – request for persuasive project links
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I talk to lots of people in the open weights space, including some of the key players. I use open weights models, I think I just disagree with you (in part because I care a log about non-coding uses). Feel free to send a link to the project/idea that might persuade me otherwise
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Open source importance vs closed frontier models lead
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I think open source is important (it was literally the subject of a bunch of my pre-AI academic research). I also think that closed frontier models have a current lead with sustaining forces for now. And that more intelligent models can do more. Not sure we disagree on that much.
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Fragility of frontier open weights model releases
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And the idea that frontier open weights models will continue to be released was fragile even before the current de facto licensing regime.
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Open source harness advances depend on model intelligence from few firms
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Lots of advances coming from the open source harness movement (including Moltbook, RAG approaches back in the day, etc.) but they depend on the intelligence of the models created by a small handful of companies & the more intelligent those models, the more others can do with them
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Distinction between open source innovations and Chinese-dependent open weights models
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The talk around openness & AI needs to distinguish between the vibrant and innovative open source movement that is advancing the state-of-the-art on harnesses & other key areas and open weights frontier models, which are entirely dependent on a the goodwill of a few Chinese firms
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Anthropic uses moral language to justify opaque and anti-competitive behavior
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Anthropic is a company wrapping a business model in moral language, then using that language to justify opaque model behavior, anti-competitive access rules, regulatory pressure, and a future where builders, startups, researchers, and Opensource communities stay downstream of a