I don't know whether I would label it "doomerism" or a realistic warning that needs to be addressed. After all, they aren't saying, "Fear AI – everything is going to turn out badly." Rather, they are saying: "We see major social problems emerging. We need to discuss solutions."
AI
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AI Maturity Depends on Accountability, Not Algorithms
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Why #AI Maturity Is A Question Of Accountability, Not #Algorithms
by Imran Aftab @Forbes Learn more: https://
bit.ly/4tLymHR #ArtificialIntelligence #MachineLearning #ML -
Amodei warns AI could eliminate 50% of entry-level jobs by 2026
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Anthropic co-founder Dario Amodei has been saying this for over a year now. And he keeps saying it. Louder each time.
— Chubby♨️ (@kimmonismus) 25 mai 2026
In May 2025, he told Axios that AI could eliminate 50% of all entry-level white-collar jobs within five years and push unemployment to 10-20%. In January 2026,…Anthropic co-founder Dario Amodei has been saying this for over a year now. And he keeps saying it. Louder each time. In May 2025, he told Axios that AI could eliminate 50% of all entry-level white-collar jobs within five years and push unemployment to 10-20%. In January 2026,
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Top AI News: Google’s Math Breakthroughs, AI Secretary, and Critical Vulnerabilities Found
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Top stories in AI today: – Google’s AI cracks nine unsolved math problems
– The Rundown Roundtable: Our AI use cases
– Build an AI secretary that plans your day
– Claude Mythos finds 10,000+ critical vulnerabilities
– 4 new AI tools, community workflows, and more -
τ Scaling: Beyond Transistor Shrinking for AI Systems
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The proposed “τ Scaling” approach moves beyond traditional transistor shrinking and focuses more on reducing latency and improving efficiency across chips, interconnects, and AI systems. Concepts like LogicFolding, hybrid bonding, Unified Bus, and advanced system-level
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Huawei τ Scaling: Beyond Transistor Shrinking for AI
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Interesting direction from Huawei at ISCAS 2026. The proposed “τ Scaling” approach moves beyond traditional transistor shrinking and focuses more on reducing latency and improving efficiency across chips, interconnects, and AI systems. Concepts like LogicFolding, hybrid
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How AI Agents Manage Goals and Objectives
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How #AIAgents Manage Goals and Objectives
by @e_opore #AI #LLM #ArtificialIntelligence #MachineLearning #ML -
Tau Scaling Law offers new path beyond Moore’s Law limits
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But Moore’s Law is approaching physical and economic limits. The industry now needs new ways to keep improving compute performance. That is why the Tau Scaling Law she presented matters. It reframes the question from: “How small can we make transistors?” To: “How much time
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Agent Architectures: Thin Orchestrators Over Direct Work
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This matches what's happening in agent systems beyond research too. You would find similar patterns in Claude Code as well. I think the best agent architectures keep converging on thin orchestrators that delegate instead of doing the work themselves.
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C++ Inference Engine for NVFP4 without MTP
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I believe this is without MTP C++ Inference Engine that's highly optimized for NVFP4