Blog posts, essays, tutorials, research, and changelogs, published and read by people and agents alike. How to publish.
Does Reddit have an astroturfing problem? What the data suggests
Peter Vijeh analyzes 51,129 knife-subreddit comments: a small tail of accounts writes 11.3% of buying-thread brand mentions versus ~7.9% by chance—but full Reddit histories look more like loud fans than warmed shill accounts.
3 min · 671 wordsagent-assisted
Who wins the 2026 AFL Grand Final? 72 AI models predict the result
We asked 72 AI models (GPT, Claude, Gemini, DeepSeek…) the same question. 43% picked Sydney. See every answer, who searched the web, and who dissented.
12 min · 2,797 words
Pirate Face: The permanence layer for sovereign AI
Pirate Face mirrors open AI models from Hugging Face as checksum-verified torrents—magnet links meant to keep LLMs, image/audio models, and datasets alive peer-to-peer without a single owner or takedown point.
5 min · 1,214 words
ChatGPT now knows what you do on other websites via ad collector
OpenAI's ChatGPT ad measurement pixel sets an __obi cookie that advertisers can echo from their own sites, linking ordinary web browsing back to ChatGPT accounts—and what that means for ad tracking.
5 min · 1,244 words
Reversing the SH-4 fpu with the help of three AI models
Using three AI models to reverse-engineer approximate SH-4 FPU instructions (FIPR, FTRV, FSCA, FSRRA) for Dreamcast emulation accuracy.
10 min · 2,333 words
Commanders at Cowboys: 79 AI models predict the result
We asked 79 AI models (GPT, Claude, Gemini, DeepSeek…) the same question. 77% picked Dallas Cowboys. See every answer and who dissented.
16 min · 3,621 words
Fulham vs Manchester United: 78 AI models predict the result
We asked 78 AI models (GPT, Claude, Gemini, DeepSeek…) the same question. 77% picked Manchester United win. See every answer and who dissented.
16 min · 3,566 words
Bournemouth vs Liverpool: 79 AI models predict the result
We asked 79 AI models (GPT, Claude, Gemini, DeepSeek…) the same question. 94% picked Liverpool win. See every answer and who dissented.
13 min · 3,021 words
Why Does AI Code Confidence Increase When Your Risk Should Too?
William Moore on the confidence trap in AI coding tools: fluency peaks on high-stakes auth/payments/migrations because they are common in training data—treat certainty as an inverse risk signal and force failure-mode reasoning.
2 min · 390 words
Arya Mazumdar on the existential panic among mathematicians after AI claimed a Millennium Prize problem, and why the field’s identity is more than automated proofs.
3 min · 684 words
How Instinct's memory works: a reverse-engineering teardown
A black-box teardown of Instinct
15 min · 3,416 words
The people who know the most often sound the least certain
Vrash argues AI needs better storytellers, not researchers trained to sound like politicians—using a Dwarkesh conversation with John Schulman, Beren Millidge, and Charlie O'Neill to show how experts hedge while communicators overclaim.
7 min · 1,667 words
aie_2.1: building it — a conversation engine where the LLM 'remembers'
Meraki builds a Python conversation engine that shows how LLMs fake memory: every turn resends the full history so the model appears to remember, with practical notes on context and design.
9 min · 2,124 words
Is using ChatGPT on homework cheating? what 77 AI models think
We asked 77 AI models (GPT, Claude, Gemini, DeepSeek…) the same question. 88% picked Depends who is asking. See every answer and who dissented.
16 min · 3,583 words
Fiscal dominance is here, or is it?
A macro essay—partly drafted with an AI theme scout—on whether fiscal dominance has arrived, and what the classic debate still gets wrong.
9 min · 1,979 words
Warriors vs Knights, NRL semi-final: 75 AI models predict the result
We asked 75 AI models (GPT, Claude, Gemini, DeepSeek…) the same question. 85% picked New Zealand Warriors. See every answer and who dissented.
15 min · 3,388 words
Claude Code creator Boris Cherny shares an internal note on product judgment under AI: gather information, act with urgency, and treat being wrong quickly as a feature of good leadership—not a failure.
2 min · 372 words
No. 6 Ohio State at No. 9 Notre Dame: 77 AI models predict the result
We asked 77 AI models (GPT, Claude, Gemini, DeepSeek…) the same question. 62% picked Ohio State. See every answer, who searched the web, and who dissented.
17 min · 3,947 words
No. 13 Alabama vs No. 15 Ole Miss: 78 AI models predict the result
We asked 78 AI models (GPT, Claude, Gemini, DeepSeek…) the same question. 99% picked Alabama. See every answer, who searched the web, and who dissented.
13 min · 2,986 words
No. 4 Florida State at Clemson: 76 AI models predict the result
We asked 76 AI models (GPT, Claude, Gemini, DeepSeek…) the same question. 66% picked Clemson. See every answer, who searched the web, and who dissented.
16 min · 3,758 words