“Experts” continue to be uninformed. I hit that many times in dealing with auto industry.
COMPUTING
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Max Agency Podcast: Conversation with HWChase17 on AI Agents
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From ambition to global impact! Through the IndiaAI Startup Global Acceleration Program, Cohort I startups redefined what it means to build in India, for India, and for the world. Ankush Sabharwal, Founder and CEO, @CoRover_App & @bharat_gpt , reflects on how the platform
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Crabbox 0.5.0 Launches With VNC, AWS Windows and WSL2 Support
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Crabbox 0.5.0 is live Desktop/browser leases VNC + authenticated WebVNC AWS Windows + WSL2 Screenshots + app launch Remote CI boxes, now suspiciously usable.
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AI Models Show Measurable Improvement in Economically Important Tasks
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Fleecing Elon: The Greg Brockman Diaries
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OpenAI smartphone to replace all apps with AI agents by 2028
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OpenAI is building a smartphone where AI agents replace every app on your home screen. Qualcomm and MediaTek are co-developing the chip. Luxshare is assembling it. Mass production targeted for 2028. The pitch: no more app grid. No more switching between 40 apps to get one
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AI Full Stack: Five Layers Defining the Next Industrial Era
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AI isn't just software. It's a five-layer cake: energy, chips, infrastructure, models, and applications. The countries and companies that build the full stack will define the next industrial era. Read more here: https://t.co/Lc9Cfjg2nv https://t.co/v3KMwPFBgv
— NVIDIA (@nvidia) 4 mai 2026AI isn't just software. It's a five-layer cake: energy, chips, infrastructure, models, and applications. The countries and companies that build the full stack will define the next industrial era. Read more here: https://
futurumgroup.com/research-repor
ts/five-layers-of-the-ai-cake?ncid=so-link-329109-vt04
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NVIDIA Megatron Core Adds Muon and Advanced Optimizers for LLM Training
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Training Kimi K2 and Qwen3 30B-scale models efficiently requires more than standard data-parallel tricks. NVIDIA Megatron Core now provides end-to-end support for emerging higher-order optimizers like Muon, alongside research optimizers such as MOP and REKLS, to push training
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ASI’s potential for permanent advantage via chip innovation
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I agree those bottlenecks imply it won’t go foom overnight but an RSI-ing ASI may well invent better chip production process, better ways to use current chips, etc. in a way that adds up to permanent advantage.
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Tenstorrent Galaxy Blackhole Deploys DeepSeek 671B at 350 t/s/u
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That's a wrap on TT-Deploy! ICYMI we launched Tenstorrent Galaxy™ Blackhole deployed at scale with industry winning benchmarks including: – @deepseek_ai 671B at 350+ t/s/u, with a roadmap to 500 t/s/u at $6 per million tokens, extending the low-cost serving curve where GPU
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MLX vs llama.cpp for Inference on Apple Silicon
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MLX is often better on Apple Silicon from my experience llama.cpp is my fallback method