The honest answer is always "it depends" when comparing agent frameworks. Appreciate the nuanced take instead of picking a winner, that's the reality of building with these tools.
INNOVATION
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AI-Generated Research Published in Nature: Peer Review Implications
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AI Scientist published in Nature is a big deal. I'm curious how the review process handled the fact that the research was AI-generated, that's a fascinating meta question.
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Crediting Alec for LLM pretraining oversimplifies research history
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Alec is a once in a generational researcher, but saying that he invented pretraining is not only a bit of stretch, but it's also a disrespect to other people's work. Flowers ☾ (@flowersslop) Every LLM from any lab today traces back to this guy, who was the only person at OpenAI pushing for pretraining transformer language models. He built GPT-1. After that did others see the potential. He invented it, and almost none of the so called AI experts even know his name. — https://nitter.net/flowersslop/status/2037892926785634720#m
→ View original post on X — @jeremyphoward, 2026-03-29 12:21 UTC
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RealityScan Photogrammetry Innovation in Radiance Fields
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Glad you’re pushing the team! @TimSweeneyEpic I hope you will too and ask the RealityScan team to reconsider – RS is so good for photogrammetry and y’all could be at the heart of the radiance field ecosystem too
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RL Post-training Efficiency: 4x Fewer Rollouts for Coding
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4x fewer rollout turns for competitive accuracy is a big deal for making RL post-training practical. Curious to see if this generalizes beyond coding tasks.
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Model Improvements Reduce Need for Complex Workflows
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That was last year’s workflow, not doing that much anymore, models got better.
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Open Source Project Seeks Community Contributions and Support
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folks it’s open source, help out?
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Banks Transform Customer Experience with AI and Advanced Analytics
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Banks are responding to change and positioning themselves for efficient customer experience in a rapidly evolving market. New technologies like AI and advanced analytics promise transformation, but real progress depends on how it's applied. Learn how to position your financial
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Annualized Revenue as Valid Growth Metric in AI Competition
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The most pointless kind of dunking is dunking “on behalf” of someone else. Everyone thinks they’re doing the startup ecosystem/investors a service by saying that someone’s revenue might not recur. But investors are fairly sophisticated about this and know the difference. They know these companies are acquiring the distribution and user base right now and will hopefully generate profit as token prices continue to fall. This is what investors are betting on. Annualised revenue is simply an indicator metric of growth. Most AI companies globally report this and therefore it is a useful score to compare these companies against each other in the first innings of the AI race.
→ View original post on X — @waitin4agi_, 2026-03-29 11:26 UTC
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UK Defence Tech Startups Face Relocation Risk Amid Funding Delays
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https://
ft.com/content/f62751
d1-2292-45f7-a693-93d0af5b9f28
… UK risks losing defence tech start-ups to relocation amid funding delays