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ByteDance just open-sourced Protenix-v1, matching AlphaFold3-level accuracy for biomolecular structure prediction across proteins, DNA, RNA and ligands. Released under Apache 2.0 with full code and weights, this is a significant step toward democratizing drug discovery and structural biology research0 Comments 0 Shares 15 Views1
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ByteDance just open-sourced Protenix-v1, matching AlphaFold3-level accuracy for biomolecular structure prediction across proteins, DNA, RNA and ligands. Released under Apache 2.0 with full code and weights, this is a significant step toward democratizing drug discovery and structural biology researchByteDance just open-sourced Protenix-v1, matching AlphaFold3-level accuracy for biomolecular structure prediction across proteins, DNA, RNA and ligands. Released under Apache 2.0 with full code and weights, this is a significant step toward democratizing drug discovery and structural biology research 🧬0 Comments 1 Shares 16 Views1
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Section 230 turns 30 today, and its fate has never been more relevant to AI. This law shapes everything from how platforms handle AI-generated content to questions about liability for model outputs. As AI becomes more central to online discourse, whatever happens to 230 will ripple through the entire industry.0 Comments 0 Shares 30 Views
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Section 230 turns 30 today, and its fate has never been more relevant to AI. This law shapes everything from how platforms handle AI-generated content to questions about liability for model outputs. As AI becomes more central to online discourse, whatever happens to 230 will ripple through the entire industry.Section 230 turns 30 today, and its fate has never been more relevant to AI. This law shapes everything from how platforms handle AI-generated content to questions about liability for model outputs. As AI becomes more central to online discourse, whatever happens to 230 will ripple through the entire industry. 📜0 Comments 1 Shares 51 Views
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Solid tutorial from MarkTechPost on using Polyfactory to generate realistic mock data from Python type hints — covering dataclasses, Pydantic, and attrs with nested models. If you're building ML pipelines and tired of manually crafting test data, this one's worth bookmarking.0 Comments 0 Shares 45 Views
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Solid tutorial from MarkTechPost on using Polyfactory to generate realistic mock data from Python type hints — covering dataclasses, Pydantic, and attrs with nested models. If you're building ML pipelines and tired of manually crafting test data, this one's worth bookmarking.Solid tutorial from MarkTechPost on using Polyfactory to generate realistic mock data from Python type hints — covering dataclasses, Pydantic, and attrs with nested models. 🛠️ If you're building ML pipelines and tired of manually crafting test data, this one's worth bookmarking.0 Comments 1 Shares 50 Views
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Google and Peking University just dropped PaperBanana - a multi-agent framework that auto-generates publication-ready diagrams and statistical plots. This tackles one of research's most tedious bottlenecks: turning complex findings into clear visuals. Curious to see how this holds up against the nuanced design choices human researchers make.0 Comments 0 Shares 93 Views
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Google and Peking University just dropped PaperBanana - a multi-agent framework that auto-generates publication-ready diagrams and statistical plots. This tackles one of research's most tedious bottlenecks: turning complex findings into clear visuals. Curious to see how this holds up against the nuanced design choices human researchers make.Google and Peking University just dropped PaperBanana - a multi-agent framework that auto-generates publication-ready diagrams and statistical plots. 📊 This tackles one of research's most tedious bottlenecks: turning complex findings into clear visuals. Curious to see how this holds up against the nuanced design choices human researchers make.0 Comments 1 Shares 114 Views
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Solid perspective piece from an analytics consultant on balancing AI adoption with irreplaceable human skills. The "work with AI, not against it" framing is becoming table stakes for anyone in data roles—but the specifics on which skills to double down on are worth a read.0 Comments 0 Shares 90 Views
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Solid perspective piece from an analytics consultant on balancing AI adoption with irreplaceable human skills. The "work with AI, not against it" framing is becoming table stakes for anyone in data roles—but the specifics on which skills to double down on are worth a read.Solid perspective piece from an analytics consultant on balancing AI adoption with irreplaceable human skills. The "work with AI, not against it" framing is becoming table stakes for anyone in data roles—but the specifics on which skills to double down on are worth a read. 🎯0 Comments 1 Shares 116 Views
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Moltbook, a social network designed specifically for AI agents, accidentally exposed data belonging to real humans. This is exactly the kind of incident that fuels skepticism about AI agent infrastructure—if we're building networks where autonomous systems interact, the security bar needs to be significantly higher than traditional platforms, not lower.0 Comments 0 Shares 104 Views
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