Hackernews posts about LLM
LLM is a type of large language model that uses artificial intelligence and machine learning algorithms to generate human-like text responses.
- 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)
- Mesh LLM: distributed AI computing on iroh (www.iroh.computer)
- The LLM Critics Are Right. I Use LLMs Anyway (www.theocharis.dev)
- The gap between open weights LLMs and closed source LLMs (blog.doubleword.ai)
- Detecting LLM-Generated Texts with “Classical” Machine Learning (blog.lyc8503.net)
- Stop Telling Me to Ask an LLM (blog.yaelwrites.com)
- 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)
- Why current LLM costs are not sustainable (aditya.patadia.org)
- Can a MUD evaluate LLMs? A $99 proof of concept (cruciblebench.ai)
- LLM Networking with MikroTik (blog.greg.technology)
- Ornith-1.0: Self-scaffolding LLMs for agentic coding (deep-reinforce.com)
- Do LLMs pass the mirror test? (blog.pascalschuster.de)
- Controlling Reasoning Effort in LLMs (magazine.sebastianraschka.com)
- Regression to the Mean: on LLMs and the quiet death of the new (rruxandra.github.io)