Aiming At Hyperscalers And Edge, Nvidia Cuts Down To The A2 Accelerator
…For latency and security reasons, Intel, IBM, and anyone adding mixed precision vector and matrix math units to their CPUs will argue it makes sense to do this on the CPUs and…
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Elon Musk proposes 'Terafab' to level up chip production
…envelope math suggests that means Musk needs to launch 50,000 Starships a year, or 135 a day at a rate of one giant rocket every ten minutes. The reason for doing…
Oracle’s Financing Primes The OpenAI Pump
…But having said all of that, here is the basic math: At $60 billion per gigawatt, a good, high-end ballpark figure for a datacenter tricked out with the best AI gear…
Paper page - Balanced Aggregation: Understanding and Fixing Aggregation Bias in GRPO
…AI-generated summary Reinforcement learning with verifiable rewards (RLVR) has become a central paradigm for improving reasoning and code generation in large language models, and GRPO-style training is widely adopted for…
Discussions and forums
Yon – a topos-oriented language with a content-addressed lattice heap
Hello everyone. In the last two years I spent, as a dev, part of my free time stretching the limits of my knowledge. Not being a mathematician myself, I discovered that formalizing concepts in mathematical language could…
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Tell HN: Llamacpp now supports unified system RAM offloading on Linux
I'm a big fan of on-device AI inference for a million reasons, especially its potential to significantly reduce or even potentially eliminate the need for massive AI data center projects in the United States. But so far,…
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Stop traumatizing AI into loops and turn hallucinations into an honest "I don't know!" by being NICE to them (Proof of Concept, Research, I don't want to sell anything)
!UPDATE!(20.05.2026) WE HAVE NEW NUMBERS FROM 1.500+ TESTS IT'S WORKING! check my update post https://www.reddit.com/r/LocalLLaMA/s/AyNOehjkYT Or the go straight to the my Github https://github.com/OttoRenner/Gentle-Codi…
Show HN: I created a RAW to HDRI stacker in (mostly) Common Lisp
This is an upgrade of a tool I created 15 years ago in Python to learn OOP and solve some inadequacies in the HDR stacking tools I could find at the time. The problem was, none of them were really "batch friendly". None …
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Show HN: Forge – Guardrails take an 8B model from 53% to 99% on agentic tasks
Hi HN, I'm Antoine Zambelli, AI Director at Texas Instruments.I built Forge, an open-source reliability layer for self-hosted LLM tool-calling.What it does:- Adds domain-and-tool-agnostic guardrails (retry nudges, step e…
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NVIDIA Nemotron AI Models
…modern AI assistants. Nemotron RL Datasets Train models with the same reinforcement learning (RL) data powering Nemotron, including multi-turn trajectories, tool calls, and preference signals across coding, math, reasoning, and agentic…
I used Claude's interactive visuals for studying, now I can't go back to my static notebooks
…This is one reason static notebooks still hold legitimate value even in the age of AI. Not quite. The answer is that handwriting engages motor memory pathways that aid long-term retention…
Paper page - FrontierSmith: Synthesizing Open-Ended Coding Problems at Scale
…Compiling LLM Reasoning into Symbolic Solvers for Efficient Program Synthesis (2026) Marco DeepResearch: Unlocking Efficient Deep Research Agents via Verification-Centric Design (2026) Verifier-Backed Hard Problem Generation for Mathematical Reasoning (2026…
I've started sharing NotebookLM notebooks with friends instead of just my notes
…However, there's one criminally underrated feature in NotebookLM that helps it take the fight to all that AI in Search, at least for your friends — sharing these notebooks . Related 4 reasons…
PrismML debuts 1-bit LLM in bid to free AI from the cloud
…AI makes pentesting 40% more efficient OpenAI gets $122B to 'just build things' as the world blows them up "We spent years developing the mathematical theory required to compress a neural network…
Paper page - Generate, Filter, Control, Replay: A Comprehensive Survey of Rollout Strategies for LLM Reinforcement Learning
…AI-generated summary Reinforcement learning (RL) has become a central post-training tool for improving the reasoning abilities of large language models (LLMs). In these systems, the rollout, the trajectory sampled from…