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open-source-ai

52 posts tagged open-source-ai.

  • The RTX 5060 Ti 16GB local AI signal Nov 8, 2026
  • Arete-27B tests values as a post-training layer Nov 7, 2026
  • Cheap local AI GPUs are not the center of AMD’s AI plan Nov 7, 2026
  • An Independent Replication of Direct Nash Optimization, and What Its Ablations Actually Prove Nov 4, 2026
  • Sonar-MoE cuts MoE fine-tuning memory by moving optimizer steps into backward Nov 3, 2026
  • Local AI is becoming the quiet default for private workflows Nov 1, 2026
  • Granite Switch pushes model updates toward software discipline Oct 29, 2026
  • Hugging Face points open AI back at the iPhone Oct 29, 2026
  • Project ProtoStar puts the boring data layer under science AI Oct 29, 2026
  • A 0.6B Persian Embedding Model That Catches a 4B: What Yalda Teaches About Distillation Oct 26, 2026
  • RobustRLlib maps the failure boundary for real-world RL Oct 26, 2026
  • TopKLoRA turns a poisoned fine-tune into a circuit you can cut out Oct 26, 2026
  • Nanbeige4.3-33B is really a small-model bet Oct 25, 2026
  • Smart TV reverse engineering exposes the local AI safety gap Oct 25, 2026
  • Medical exam scores are not enough for clinical LLMs Oct 23, 2026
  • When AI Agents Start Finding Bugs Faster Than Maintainers Can Patch Them Oct 21, 2026
  • MiniMax M3.1 Flash puts Space Bunny back under test Oct 19, 2026
  • 552B parameters on one RTX 4090 is an inference trick, not a free lunch Oct 18, 2026
  • Local LLMs do not always need a four-GPU box Oct 18, 2026
  • What DeepSeek V4.1 Flash on Dwarfstar tells us about SSD-streaming local models Oct 18, 2026
  • ORL Makes Diffusion LLMs Look Practical for Low-Latency Inference Oct 17, 2026
  • Beam’s 501B claim is really about control, not size Oct 16, 2026
  • Indic pretraining is becoming a data pipeline problem Oct 16, 2026
  • PrismaCoder's real trick: a rubric that both filters data and rewards training Oct 15, 2026
  • Tev's Dense Progress Rewards and the Sparse-Reward Problem in Long-Horizon Agents Oct 14, 2026
  • Nvidia Buying an 'Open' Model Lab Is About Compute, Not Openness Oct 11, 2026
  • The missing model is becoming a product requirement Oct 9, 2026
  • Kolibri and the Word 'Sovereign' in Open-Weight Model Launches Oct 3, 2026
  • Free local AI models are not charity Sep 27, 2026
  • Prompt lookup drafting gets faster in llama.cpp, but the win is workload-specific Sep 27, 2026
  • Qwen architecture rumors do not make a 3090 fast by default Sep 27, 2026
  • Ollaya points at a missing layer for decision models Sep 26, 2026
  • Swift Qwen’s speed claim is a local AI reminder, measure the whole loop Sep 26, 2026
  • Xiaomi's MiMo V2.6 Ships in Three Flavors, and the Split Matters Sep 22, 2026
  • Full-Duplex Voice With Tool Calls: What NemotronLabs VoiceChat Actually Ships Sep 21, 2026
  • Mini-AGI makes local training the interesting part Sep 21, 2026
  • Benchmarks Do Not Settle the Open-Weight Risk Debate Sep 20, 2026
  • Qwen-Image-2.1 puts open image editing closer to production work Sep 20, 2026
  • When AI Scrapers Break the Commons They Feed On Sep 20, 2026
  • Laya’s Jev claim needs a repo-first reality check Sep 19, 2026
  • What Actually Makes a Tokeniser Good: Search Beats Objective Sep 17, 2026
  • Mistral and Mozilla put AI in the browser: what 'private' actually means here Sep 16, 2026
  • Garry Tan’s distillation argument is really about AI capability access Sep 14, 2026
  • What llama.cpp v0.4.1 tells you about where local AI is heading Sep 14, 2026
  • A thin local AI signal still tells builders what to watch Sep 13, 2026
  • Local LLMs are getting useful because constraints are back Sep 13, 2026
  • The Hugging Bay and the weak link in open model distribution Sep 13, 2026
  • Rune going open source is only the start of the diligence Sep 12, 2026
  • Open-weight AI is becoming enterprise plumbing Sep 5, 2026
  • Hugging Face’s reported $13B sale talks are an infrastructure signal Aug 25, 2026
  • Open AI is a stack problem, not a license argument Jul 18, 2026
  • Grok Build’s Apache 2.0 release puts the boring work on users Jul 16, 2026

Ken Ashe ·AI application builder ·CPA ·PMP

Building with AI in public. No hype, no doom. Receipts only.

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