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Computational Intelligence

Weekly Review 17 April 2026

Weekly AI roundup curating 22 stories spanning business integration, regulation, and technical failures. Key themes: enterprises spending heavily on AI despite marginal returns (30% of projects pay off), regulators (China, California) tightening safety rules, and persistent reliability concerns (Google AI Overviews wrong 10% of the time, medical AI hallucinates without image input). Widening gap between AI hype and practical business value.See more

3dComputational Intelligence
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Anthropic News (via RSSHub)

Anthropic's Long-Term Benefit Trust appoints Vas Narasimhan to Board of Directors

Vas Narasimhan, Novartis CEO and physician-scientist, has joined Anthropic's Board via the Long-Term Benefit Trust, which now holds board majority. With 35+ years shepherding breakthrough medicines through regulated industries, Narasimhan brings expertise in scaling transformative technology responsibly. The appointment strengthens governance oversight aligned with Anthropic's public benefit mission as it grows.See more

7dAnthropic News (via RSSHub)
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Uri Maoz

The gig workers who are training humanoid robots at home

Gig workers in emerging markets, particularly Nigeria, are now training humanoid robots at home by recording their movements and actions as remote contractors. Robot companies are tapping this global labor pool to collect human feedback at scale and lower cost than domestic training programs. This emerging trend creates new income opportunities but raises questions about labor rights, fair compensation, data ownership, and the long-term impact on knowledge work.See more

19dUri Maoz
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Roni Itkin, Noam Issachar, Yehonatan Keypur, Yehonatan Keypur, Anpei Chen, Sagie Benaim

RAD-2: Scaling Reinforcement Learning in a Generator-Discriminator Framework

RAD-2 combines diffusion-based trajectory generation with RL-optimized reranking for autonomous driving motion planning. The framework achieves 56% collision rate reduction through temporal consistency in policy optimization and structured feedback mechanisms. Real-world deployment validates improved safety and smoothness in urban traffic scenarios.See more

4dRoni Itkin, Noam Issachar, Yehonatan Keypur, Yehonatan Keypur, Anpei Chen, Sagie Benaim
AiA Feed · Generated with AI, which can make mistakes.