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  1. Chips and CheeseAI score62

    IBM explains its dual-ISA z/Architecture and Arm core design at Hot Chips 2026

    AIIBM's Christian Zoellin and Christian Jacobi discuss a next-generation processor that supports both z/Architecture and Arm instruction sets at Hot Chips 2026. Zoellin says separate decoders sit in a shared decode pipeline, while the caches, TLBs, and register files are reused, and endianness is handled in the load-store unit. Jacobi explains that Arm support aims to bring its software ecosystem to mainframe workloads, and that Spyre's memory bandwidth needs grew as use cases shifted toward agentic AI.

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  1. Jeremy HowardAI score14

    Jeremy Howard welcomes Rachel Thomas back to AI, citing her early data ethics work

    AIJeremy Howard celebrates Rachel Thomas's return to AI after she left to pursue an immunology masters and a second PhD in microbiology. He notes she founded the Center for Applied Data Ethics years before most people recognized AI's transformative impact. Her quoted post explains she is returning to a field she sees as increasingly disliked, while acknowledging much of AI is terrible.

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  1. Soumith ChintalaAI score4

    Soumith Chintala seeks Hyderabad deep tech and AI contacts

    AISoumith Chintala says he will be in Hyderabad next week and wants to meet people outside his usual circle. He asks for recommendations of people in Hyderabad working in deep tech, AI product, AI research, and GPU optimization, and links to a form for submissions.

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  1. METR BlogAI score58

    METR outlines how independent researchers could investigate AI agent misalignment incidents

    AIMETR proposes that AI companies track agent misalignment incidents and have independent researchers investigate the most serious ones, focusing on the motives behind the behavior. The post lists core investigation questions covering incident surveys, root causes, and remediation, along with the model access, transcripts, employee interviews, and training-data tools such investigators would need. It also calls for results to go to company boards and oversight bodies and be published with disclosed redaction terms.

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  1. Andrew NgAI score28

    DeepLearning.AI launches course on fast LLM inference with Cerebras

    AIDeepLearning.AI has launched a short course, built with Cerebras, on building LLM applications that respond quickly using inference-optimized hardware. The course compares how GPUs, TPUs, and Cerebras' Wafer-Scale Engine handle the memory-to-compute bottleneck, which keeps model weights close to compute units to speed token generation. It covers real-time applications such as live translation and voice agents, plus habits for agentic coding.

    Video from @AndrewYNg's post

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  1. PaddlePaddleAI score16

    🌍Real impact, real change.

    AIPaddlePaddle's AI-powered restoration of Thangka sacred art was recognized as a winning case at the 2026 AI for Good Global Summit and featured in the Innovate for Impact Report. The post highlights it alongside Apollo Go's urban mobility and Miaoda & MeDo's no-code software creation as examples of AI's broader social value.