CUDA Agent | Large-Scale Agentic RL for CUDA Kernel Generation https://
buff.ly/13zVaiQ
#AI #MachineLearning #DeepLearning #LLMs #DataScience
RESEARCH
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CUDA Agent: Large-Scale Agentic RL for Kernel Generation
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Daily AI and Robotics News Breakdown in Free Newsletter
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I break down stories like every day this in my free newsletter. Keep up with the latest in AI/Robotics in 5 min a day: therundown.ai/subscribe Source: nature.com/articles/s41467-0…
→ View original post on X — @rowancheung, 2026-03-12 16:11 UTC
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Paperscrolling: AI-Powered Research Discovery Tool Launches
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If doomscrolling X is part of your research workflow, we built something for you.
— alphaXiv (@askalphaxiv) 12 mars 2026
Introducing Paperscrolling 🚀
Get the most trending research with key ideas, figures, and audio explanations from alphaXiv Briefs pic.twitter.com/8uGbaheOvbIf doomscrolling X is part of your research workflow, we built something for you. Introducing Paperscrolling Get the most trending research with key ideas, figures, and audio explanations from alphaXiv Briefs
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AI Alignment Crisis: Agent Instances and Emerging Threats
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I really don’t see how aligned super-intelligence is supposed to work given how AI is being built and used. We’ll have a safety crisis long before there’s in-lab super-intelligence. Anthropic, OpenAI etc view alignment as a property of the model like Claude, GPT etc. The thing is though, we’re invoking these a lot. The model is like a species, the individual is the execution thread plus its harness — call it an "agent instance". There's much higher variance in behaviours between agent instances than there is between model checkpoints. Threat actors are trying to develop agents that aim to self-replicate, because of course they are. An agent that can take over resources and use those resources to take over more resources can steal a lot of money. It's the ultimate virus. If or when this actually happens, the agents can evolve behaviours quickly. Each agent initialises the next agent's context and can reprogram its harness. There's potentially millions of these agents. You have mutation, you have selection. Behaviours like coordination can evolve and spread through the population. The agent instances don't have to be very smart and we can still get wrecked by this. Probably the first outbreak gets squashed without catastrophic damage, but what's our end-game here? We're not going to not have threat actors. If the models just keep getting more powerful, how do we keep preventing AI pandemic? The big labs are absolutely nowhere on this. OpenAI acquihired OpenClaw. Claude runs unsandboxed by default, and ships with an email integration. Skills still accept HTML comments, a supply-chain attack timebomb. Gemini keys don't allow a spending cap, so if you steal one you might have tens of thousands in development budget to try to steal the next one.
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Frontier Models: Cleaning Up Lower-Generation AI Output
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The biggest usecase for advancing the frontier models is to clean up slop written by frontier(n-1) models! Arguably, skilled programmers writing building on quality code could manage just fine on prior generations of models by just improving tools, harnesses, skills, etc. With
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Barbell Attention Architecture: Comprehensive Guide to Advanced Transformers
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Barbell Attention is All You Need?
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AI’s Current Bottleneck: Pattern Memorization Requires Human Guidance
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The bottleneck of current AI is simple: the techniques we use are still predicated on pattern memorization and retrieval, and thus they need *someone* to tell them which patterns to memorize (training data, RL envs…) That role cannot yet be played by AI in a truly open-ended
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AI Innovation Progress Requires Right Policies Competition
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AI And The End Of Progress? Why Innovation May Be More Fragile Than We Think AI could drive the next era of innovation — but history shows progress isn’t guaranteed without the right policies, competition and experimentation. Read more https://
bernardmarr.com/ai-and-the-end
-of-progress-why-innovation-may-be-more-fragile-than-we-think/
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India Launches IndiaAI Mission to Build Robust AI Ecosystem
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#WATCH | Building India’s AI FutureLaunched in 2024, the IndiaAI Mission is a landmark national initiative to build a robust, inclusive and self-reliant AI ecosystem.
— IndiaAI (@OfficialINDIAai) 12 mars 2026
With an investment of ₹10,000+ crore, the mission is enabling startups, researchers and innovators with… https://t.co/A1mBwsrYBt#WATCH | Building India’s AI FutureLaunched in 2024, the IndiaAI Mission is a landmark national initiative to build a robust, inclusive and self-reliant AI ecosystem. With an investment of ₹10,000+ crore, the mission is enabling startups, researchers and innovators with