AI Hardware & Infrastructure
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CERN HLS4ML: How the World’s Largest Physics Lab Burns Tiny AI Models Directly into Silicon Chips
While the rest of the tech industry races to build bigger AI models — 100 billion parameters, trillion-token training sets, warehouse-sized GPU clusters — CERN is going in the exact opposite direction. The particle physics lab behind the Large Hadron Collider is taking AI models so small they fit inside a single chip and burning… Continue reading
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insanely-fast-whisper Hits 3 on GitHub Trending — 150 Minutes of Audio Transcribed in 98 Seconds, Zero Cloud
A CLI tool that first appeared in late 2023 just climbed back to GitHub Trending’s #3 spot with 11.6K stars. The reason isn’t a major new release — it’s a shift in what developers want from transcription tools in 2026. insanely-fast-whisper is a Python CLI built on Hugging Face Transformers that runs OpenAI’s Whisper Large… Continue reading
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$0.004 per Task: How ATLAS Squeezes Frontier-Level Coding from a Single $500 GPU
A frozen 14B model, a $500 RTX 5060 Ti, and a three-stage pipeline that scores 74.6% on LiveCodeBench v5. ATLAS is the self-hosted AI coding system that just hit the front page of Hacker News — and the developer community has strong opinions about what it means. The headline claim: ATLAS outperforms Claude 4.5 Sonnet’s… Continue reading
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A 20-Year-Old Dropout Built Supermemory — Now It Has 18K GitHub Stars and Google’s Jeff Dean as an Investor
Every AI agent today has the same problem: amnesia. End the conversation, and the context vanishes. Start a new session, and you’re re-explaining everything from scratch. Supermemory is a bet that persistent, time-aware memory will become as essential to AI infrastructure as databases are to web apps — and the bet is attracting serious attention.… Continue reading
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Hypura Runs a 31GB Model on a 32GB Mac at 2.2 tok/s — llama.cpp Just OOMs
There’s a frustrating ceiling that every Apple Silicon user running local LLMs hits eventually: your model is slightly too big for your RAM, and everything falls apart. llama.cpp crashes. MLX refuses to load it. The OS starts swapping so aggressively that your entire machine grinds to a halt. You either buy a more expensive Mac… Continue reading
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Google TurboQuant Squeezes LLM Cache to 3 Bits — 6x Less Memory, 8x Faster, Zero Accuracy Loss
Every large language model running today has the same dirty secret: the longer the conversation goes, the more memory the Key-Value cache eats. For models like Gemini handling 100k+ token contexts, the KV cache can balloon to consume more memory than the model weights themselves. Google Research just published a direct answer to this problem.… Continue reading
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Arm AGI CPU: 136 Cores, 3nm, 2x Performance Per Rack — and 9 Companies Already Signed Up
For 35 years, Arm has been the company that designs chips but never builds them. That changed on March 24, 2026. Arm Holdings unveiled the Arm AGI CPU — its first in-house data center processor — a 136-core beast fabricated on TSMC’s 3nm process, built from the ground up for agentic AI workloads. Meta is… Continue reading
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Terafab: $25 Billion, Zero Chip-Making Experience, and 80% of the Output Goes to Space
Elon Musk stood on the stage of a decommissioned power plant in Austin, Texas on March 21 and announced what he called “the most epic chip building exercise in history by far.” The project is called Terafab — a joint venture between Tesla, SpaceX, and xAI — and the pitch is staggering: a single facility… Continue reading
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397 Billion Parameters on a 48GB MacBook: Flash-MoE Turns Apple’s 2023 Research into Reality
A 397-billion-parameter model running at 4.4 tokens per second on a laptop with 48GB of RAM. No cloud API. No multi-GPU server. Just a MacBook Pro, an NVMe SSD, and about 7,000 lines of C and Metal code that nobody wrote by hand. Flash-MoE landed on Hacker News and GitHub Trending this week, and the… Continue reading
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George Hotz Wants to Sell You a $12,000 AI Supercomputer — and 221 Hacker News Comments Can’t Stop Arguing About It
The idea of running a 120-billion-parameter model in your own office, with zero cloud dependency, sounds like a pipe dream. George Hotz — the teenager who once jailbroke the first iPhone and hacked the PS3 — thinks it should be as normal as buying a workstation. His company, tiny corp, ships the Tinybox: a line… Continue reading
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