Measured public attention
Do you need the big labs at all?
25 measured threads · about 20,000 points · measured 11 October 2026
What happened
Local and open-weight models moved from hobby to default option in the discussion.
The supplied measurement groups 25 threads with about 20,000 points and 10,575 comments. These totals measure attention, not whether the linked claims are true.
The timeline brings together 37 source-linked contributions assigned to this question. It preserves their dates, discussion records and original sources.
Complete assigned timeline
IBM CEO says open weight models are now good and cheap on-prem
Concerning behavior from a popular open-weight AI model
Show HN: Llmspeed – feel how fast a local LLM runs before you buy the hardware
Talorys – A self-hosted personal AI agent on Cloudflare's free tier
OpenTPU – An open-source AI accelerator, developed by AI
Beam: Reflection's 501B open-weight model
Kolibri: A Sovereign Open-Weight Model
From the creator of Redis; run LLM locally with ds4
Clef: Open-weight decision models, and new RL fine-tuning platform
Ollaya – Ollama for open-source, Jev-style decision models
Garry Tan wants US open-weight AI labs to 'distill' frontier models, too
Corporate America is getting hooked on open-source AI
My local model setup on an M4 Pro Mac Mini
CEO fired developers to make room for AI. Developers create open source AI CEO
Why your local LLM feels dumber than it is
Mistral's Shieldstral: 3B open-weights model for multimodal moderation
Show HN: Open-source engine running Gemma 4 26B in 2 GB RAM on any M-series Mac
Our position on open-weights models
Nvidia, Microsoft, Meta warn against overregulating open-weight models
Show HN: Echo – Fable-level results at 1/3 the cost using open-weight models
DiscussionHN post is the source
China’s open-weights AI strategy is winning
Nativ: Run frontier open models locally on your Mac
Inkling: Our Open-Weights Model
Jamesob's guide to running SOTA LLMs locally
GLM-5.2 is the new leading open weights model on Artificial Analysis
Running local models is good now
Ask HN: Has anyone replaced Claude/GPT with a local model for daily coding?
DiscussionHN post is the source
Open source AI must win
Anthropic's open-source framework for AI-powered vulnerability discovery
Local AI needs to be the norm
The local LLM ecosystem doesn’t need Ollama
Google releases Gemma 4 open models
Lemonade by AMD: a fast and open source local LLM server using GPU and NPU
OpenCode – Open source AI coding agent
Leanstral: Open-source agent for trustworthy coding and formal proof engineering
Can I run AI locally?
CLI agents make self-hosting on a home server easier and fun
Continue the evidence trail
Method
Attention is measured, not guessed: every Hacker News story from 1 Jan 2026 with more than 300 points and an AI subject (631 stories), read through the public search interface on 11 Oct 2026, grouped by the question behind the story. Survey figures come from published polls with four-digit samples and are linked.