The last two weeks in AI have been the most absurd period in the history of tech. I can't even keep up. And that's literally what I do for a living. → Anthropic launched Claude Fable 5, its most powerful model ever made public. At the forefront of
RESEARCH
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Anthropic CEO discovers Chinese founder giving away architecture surpassing Claude for free
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Le CEO d’Anthropic qui ouvre X (Twitter)
— Jouhatsu | AI Influence Operator (@Jouhatsu_ai) 13 juin 2026
et découvre un fondateur chinois d'IA à 20 milliards de dollars distribuer gratuitement, en 40 minutes, l'architecture exacte qui surpasse Claude https://t.co/tZDSjCaIKh pic.twitter.com/IXs4QWENGPThe Anthropic CEO opens X (Twitter) and discovers a Chinese AI founder worth $20 billion distributing for free, in 40 minutes, the exact architecture that surpasses Claude.
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Amazon researchers behind report that led to Anthropic crackdown
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NEW: Amazon researchers reportedly behind the report on escape that led to the US crackdown on Anthropic's flagship models.
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Evaluating AI with Rubrics: Beyond Right or Wrong
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How do you evaluate an AI that writes research, diagnoses diseases, or uses tools—when “right or wrong” no longer cuts it? Researchers from Renmin University of China (Liu et al.) surveyed the emerging use of rubrics for LLMs. Rubrics are structured checklists that break down
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New open-weight 30B model from Cohere for agentic coding
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New cool open-weight model from Cohere: a new lightweight 30B open-weight model for agentic coding tasks. It builds on Command A+ using parallel transformer design. Interesting, even though it's almost twice as small, it doubles
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GoalOS AGIALPHA Ascension: Experimental Framework for Persistent and Self-Improving AI
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GoalOS AGIALPHA Ascension is an experimental framework for a persistent, goal-oriented, self-improving intelligence system that accumulates capabilities, evidence, and economic value over time. GitHub: https://
github.com/MontrealAI/goa
los-agialpha-ascension
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AA methodology and Nvidia technical blog on agentic coding performance
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AA methodology: https://
artificialanalysis.ai/methodology/ag
entperf
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Nvidia technical blog: https://
developer.nvidia.com/blog/nvidia-ac
hieves-leading-agentic-coding-performance-on-first-agentic-ai-benchmark/
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DeepSeek, GLM, Kimi solve real code issues with reasoning and tools
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(DeepSeek V3.2, GLM 4.7, and Kimi K2.5) prompted to resolve issues in real public code repositories. All trajectories include interleaved reasoning and tool calls. 2/4
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Artificial Analysis launches AgentPerf, first agentic AI benchmark
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Artificial Analysis just announced AgentPerf, the industry’s first agentic AI benchmark. The benchmark uses several real-world agentic use trajectories and employs OpenCode agentic harness using three top open-source models with reasoning enabled 1/4