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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