ResearchSeptember 17, 2026
-45
🧊
OpenAI's 10,000-Agent Swarm Cracks Millennium Problem
OpenAI researcher Noam Brown discusses agent swarms, alignment, and recursive self-improvement.
#OpenAI#Multi-Agent#Alignment#Recursive Self-Improvement#Reasoning

🔥 What happened
OpenAI cracked a Millennium Prize Problem using 10,000 parallel AI agents. The swarm burned 130 billion tokens in just 88 hours.
💡 Why it matters
That's equivalent to 4,000 years of human thinking compressed into three and a half days. Multi-agent parallelism is now the new scaling vector beyond pure test-time compute.
⚡ Our take
Anyone still betting that reasoning only scales serially hasn't done the math on swarms. The efficiency hit from shared context is the price we pay for speed — and it's worth it.
The title, summary and analysis of this item were produced automatically by an AI system and have not been editorially reviewed. They may contain errors, bias or omissions — when in doubt, read the linked original source.
Deep Dives & Similar Intelligence
ki-daily.
OpenAI Cracks 100 Math Problems
ResearchSeptember 22, 2026

GPT-6 Cracks WWI Cipher From 1918
AI modelsSeptember 17, 2026

OpenAI's $278B Burn Is the Wrong Headline
Business & TrendsSeptember 19, 2026
ki-daily.
GPT-6 Astra Cracks 85-Year-Old Enigma
ResearchSeptember 22, 2026
ki-daily.
OpenAI Slashes GPT-6 Prices by Half
AI modelsSeptember 22, 2026