Hackernews posts about LLMs
LLMs is an acronym for Large Language Models, which refers to artificial intelligence language processing systems that can understand and generate human-like text.
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- I love LLMs, I hate hype (geohot.github.io)
- Jamesob's guide to running SOTA LLMs locally (github.com)
- I think I have LLM burnout (www.alecscollon.com)
- LLM Honeypot (llm2human.pages.dev)
- Mesh LLM: distributed AI computing on iroh (www.iroh.computer)
- The LLM Critics Are Right. I Use LLMs Anyway (www.theocharis.dev)
- Detecting LLM-Generated Texts with “Classical” Machine Learning (blog.lyc8503.net)
- Stop Telling Me to Ask an LLM (blog.yaelwrites.com)
- LLM Usage in Debian: Three Proposals (www.debian.org)
- 2x, not 10x: coding with LLMs in 2026 (obryant.dev)
- Protecting our FLOSS commons from LLMs (blog.codeberg.org)
- Claude-real-video － any LLM can watch a video (github.com)
- Hetzner is working on LLM Inference (sliplane.io)
- Petals: Run LLMs at home, BitTorrent-style (petals.dev)
- 1-Bit LLM in the Browser (huggingface.co)
- DSLs Enable Reliable Use of LLMs (martinfowler.com)
- Inkling – Open-Weights 975B Parameter LLM (thinkingmachines.ai)
- No LLM Code in Dependencies (joeyh.name)
- Truth is not a direction: a Tarski attack on LLM probes (abeljansma.nl)
- Can a MUD evaluate LLMs? A $99 proof of concept (cruciblebench.ai)
- LLM Networking with MikroTik (blog.greg.technology)
- Don't ask an LLM for a confidence score (justinflick.com)
- Controlling Reasoning Effort in LLMs (magazine.sebastianraschka.com)
- TokenTown: A visual way to understand how LLMs work (laurentiugabriel.github.io)