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1.
Homebench – Benchmark local LLMs for speed, memory, and quality (news.ycombinator.com)
2.
AirLLM 70B inference with single 4GB GPU (news.ycombinator.com)
3.
Petals: Run LLMs at home, BitTorrent-style (news.ycombinator.com)
4.
Unlimited AI tokens aren't unlimited after all as US Army burns through supply (arstechnica.com)
5.
Meta testing StoryKit, an AI iPhone app that creates ‘personalized children’s stories’ (9to5mac.com)
6.
Ollama: All Aboard Open Models (news.ycombinator.com)
7.
Same model, same Q4_K_M label: 5.02, 5.07 and 5.27 bits per weight (news.ycombinator.com)
8.
Benchmarking 15 "E-Waste" GPUs with Modern Workloads (news.ycombinator.com)
9.
Popular open source AI developer tool Ollama raises $65M, grows to nearly 9M users (techcrunch.com)
10.
Mark Zuckerberg Just Got Rather Badly Humiliated (futurism.com)
11.
Google reportedly capped Meta's use of Gemini AI for coding and chatbots (engadget.com)
12.
Show HN: Smart model routing directly in Claude, Codex and Cursor (news.ycombinator.com)
13.
What I'm Finding About LLM Code Style and Token Costs (news.ycombinator.com)
14.
RubyLLM: A Ruby framework for all major AI providers (news.ycombinator.com)
15.
RubyLLM: A single, beautiful Ruby framework for all major AI providers (news.ycombinator.com)
16.
In the Weights is your new AI-centric vanity search (techcrunch.com)
17.
LLMs Are Complicated Now (news.ycombinator.com)
18.
Two Qwen3 models on one DGX Spark: the residency math (news.ycombinator.com)
19.
Ditching the cloud for local AI — how I use two mini PCs to process millions of tokens a day and save money on costly API fees (tomshardware.com)
20.
Russian Spam and Profanities Are Now Plaguing the Arch Linux AUR (slashdot.org)
21.
Running local models is good now (news.ycombinator.com)
22.
Applying Brevity and Language Efficiency in Prompt Engineering (news.ycombinator.com)
23.
Will Meta's $14 Billion Bet on AI Ever Pay Off? (slashdot.org)
24.
How to setup a local coding agent on macOS (news.ycombinator.com)
25.
How to Setup a Local Coding Agent on macOS (news.ycombinator.com)
26.
I've tested so many desktop AI tools, but Hermes with Ollama is my new favorite - here's why (zdnet.com)
27.
A 10 year old Xeon is all you need (news.ycombinator.com)
28.
A 10 year old Xeon is all you need (for 26B-A4B MTP Drafters without GPU) (news.ycombinator.com)
29.
Odysseus – self-hosted AI workspace (news.ycombinator.com)
30.
Show HN: Tiny-vLLM – high performance LLM inference engine in C++ and CUDA (news.ycombinator.com)
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