My biggest takeaway: Models are becoming components, not products. What matters now is the system around them: → runtimes
→ memory
→ tool access
→ orchestration
→ secure execution environments That is what turns a model into an agent, and an agent into something the
AGENTS
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Models as Components: The Infrastructure Behind AI Agents
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Enterprise AI strategies behind: shift from models to reasoning systems
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Most enterprise AI strategies are already behind. Not because they picked the wrong model, but because they are still thinking at the model layer. The real shift is happening one level up, where AI becomes a system that can reason, use tools, retain context, and execute work
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AiScientist: Long-Horizon AI Research Agent for ML Tasks
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/5 Long-horizon AI research agents are mostly a state-management problem. Reasoning well for the next turn is not enough when ML research demands task setup, implementation, experiments, debugging, and evidence tracking over hours or days. This paper introduces AiScientist, a
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Cursor and NVIDIA Build Multi-Agent System Optimizing CUDA Kernels 38%
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/3 Cursor builds multi-agent system that optimizes CUDA kernels with 38% average speedup. Cursor, working with NVIDIA, develops a multi-agent system that writes and optimizes CUDA kernels automatically. In a three-week run across 235 real problems, the system improves
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Strix GitHub and Shared Academic Paper
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Strix GitHub:
https://github.com/usestrix/strix Paper:
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=6372438
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Google DeepMind Reveals AI Agent Traps Framework
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Google DeepMind dropped a paper that should scare every agent builder. It's the first systematic framework for a threat that barely existed two years ago: adversarial content engineered to hijack AI agents browsing the web. They call them AI Agent Traps. The paper maps six
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Company’s New AI Agent Workflow Implementation
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Your company's new AI Agent workflow!https://t.co/nWTfcKdbzR#AIagent #agenticeconomy #AI #tech #AgenticAI #artificialintelligence @lexfridman @KirkDBorne @Ronald_vanLoon @erikbryn @antgrasso @sallyeaves @Nicochan33 @HaroldSinnott @mvollmer1 @marcusborba @CatherineAdenle… pic.twitter.com/lJBq7gMf47
— Amitav Bhattacharjee (@bamitav) 20 avril 2026Your company's new AI Agent workflow! https://
x.com/i/status/20302
06759915094077
… #AIagent #agenticeconomy #AI #tech #AgenticAI #artificialintelligence @lexfridman @KirkDBorne @Ronald_vanLoon @erikbryn @antgrasso @sallyeaves @Nicochan33 @HaroldSinnott @mvollmer1 @marcusborba @CatherineAdenle -
Grok Expansion: Making AI More Useful Beyond X Platform
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We’re working our ass off to make Grok more usefully intelligent outside of 𝕏
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Interview with Nous Research CTO on AI Development
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Did you listen to me interview @NousResearch
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Claude Obsidian Playbook Build AI Employee Afternoon
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this guy literally breaks down the exact Claude + Obsidian playbook to build your own AI employee in a single afternoon