Benchmarked the same Qwen3.5 9B UD-IQ3_XXS GGUF on an RTX 3070 8GB using – Latest upstream llama.cpp VS – TheTom's TurboQuant llama.cpp fork TurboQuant allowed me to reach full context length without OOM, more in the screenshot below
OPEN SOURCE
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PyTorch Tensor Architecture: Storage and Multi-Access Design
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The basic structure of a PyTorch tensor is also borrowed from SN/Lush: a storage (a flat array of numbers, for every numerical type) to which one or multiple tensor structures can point, so the same data can be accessed in multiple ways and shared.
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Lush/SN Lisp Interpreter and Compiler Development History
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And yes, Lush/SN used a homegrown Lisp interpreter, to which a compiler was added in the early 1990s.
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Tensor Engine History: From Bell Labs to PyTorch
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The tensor engine was first implemented inside SN3 (before it was called Lush) in 1992 at Bell Labs by Léon Bottom and me.
The naming convention has survived to this day in PyTorch and other libraries. The naming of the tensor operations was reused in EBlearn (C++ deep learning -
CodexBar 0.21 release with OpenAI improvements and performance fixes
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CodexBar 0.21 Abacus AI provider, Codex Pro $100 support, safer OpenAI web extras, fixed local cost scanning, z. ai 5h quotas, Antigravity/Cursor/Ollama fixes, faster refreshes, macOS 26 icon fix and more. The big issue with too much CPU usage was an OpenAI web fetch and is
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Chinese Developers May Replicate Anthropic Mythos Within Months
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This is insane. Open Source Mythos from China may drop sooner than you THINK. Anthropic CEO suspects that Chinese devs will be able to replicate Mythos within next 6 to 12 months.
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Multiple AI Models Available for OpenClaw and Hermes
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Luckily you have a wide choice of models to run in your OpenClaw or Hermes.
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Hermes Model Performs Well for Open Source Applications
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It works great on @NousResearch
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AI Agents: LLM Types and Orchestration Strategies
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AI Agents = LLMs + orchestration Here are the main types of LLMs powering them General-purpose (GPT, Claude) Domain-specific (Legal, Finance, etc.) RAG-based (real-time knowledge) Tool-augmented (API actions) Open-source (LLaMA, Mistral) The game is no
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Nova-Seeds v2.5 Foundational Architecture Release Launched
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[ α-AGI Nova-Seeds ] Nova-Seeds v2.5 — Foundational Architecture Release https://
github.com/MontrealAI/alp
ha-nova-seeds/releases/tag/v2.5
… #AGIALPHA