AI Agents Tackle a 90-Year-Old Mathematics Problem

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AI Agents Tackle a 90-Year-Old Mathematics Problem

WHAT’S HAPPENING AI TODAY

OpenAI says an AI cracked a Millennium Prize problem in 88 hours

OpenAI announced that one of its AI systems solved a Millennium Prize problem — one of the seven unsolved mathematical problems designated by the Clay Mathematics Institute, each carrying a $1 million prize — in 88 hours. (cite index="19-1">OpenAI says an AI cracked a Millennium Prize math problem in 88 hours, then walked straight into a fight over credit.

The details:

• The Millennium Prize Problems are the hardest open problems in mathematics — the Riemann Hypothesis, P vs NP, the Navier-Stokes Existence and Smoothness problem, and four others. A genuine solution to any of them would be one of the most significant mathematical events of the 21st century.

• The "fight over credit" is the context that matters most. The August Astra proofs controversy — where 30 mathematicians said OpenAI's results pasted arguments from 2016 and 2019 papers without attribution — established a pattern.

• The broader context: 2026 Fields Medalist Jacob Tsimerman announced the launch of the Mathematical AI Safety Institute (MAISI), a research org modeled on Princeton's IAS that hosts mathematicians for semester-long AI-safety stints.

Why it matters: If the Millennium Prize solution holds, it is the most consequential scientific result produced by an AI system in history — surpassing the protein binder results, the Riemann-Zeta improvement, and every benchmark score ever reported. If it does not hold under mathematical scrutiny, it is the most damaging AI credibility event since the Astra plagiarism controversy.

AI NEWS HIGHLIGHT

• Mistral €3B Series D at €21B+ — Europe's largest equity round ever, Samsung leads — three years old, open-weight pioneer, now Samsung-backed at frontier lab valuation. The European AI story has its anchor company.
• XPeng IRON humanoid robot in production — 76 degrees of freedom, 2,250 TOPS, mass production by year-end — 21 degrees of freedom per hand, three Turing AI chips on-device. Commercial deliveries 2027. Humanoid production lines are real and running.
• Google locked up nuclear power for AI data centres in Finland — the power constraint gets a sovereign solution — nuclear-backed AI infrastructure in a NATO country. .
• DeepSeek V4.1 Flash test endpoint live — claims to surpass V4 Pro, expires September 10 — one-day test window. Benchmark it today if you want independent data before the advisory's distillation claims shape the narrative.
• Inception Mercury 2.5: +40% intelligence over Mercury 2, 1,107 tok/s on standard NVIDIA GPUs — diffusion LLM matching Gemini 3.5 Flash and GPT-5.6 Luna performance.

Secure your AI accounts — before the next infostealer finds them

Prompt: Anthropic just disclosed that infostealer malware — Vidar, LummaC2, StealC, RedLine, Acreed — stole active Claude session tokens from infected user devices and consumed usage limits. The attack succeeded not because Anthropic's infrastructure was breached, but because browser-stored session tokens on infected PCs gave attackers authenticated access. Claude Sonnet 5 is now $3/$15 — stolen AI credits have real monetary value. This is the same pattern as CoSnitch (Copilot memory poisoning) and the DPRK npm campaign. The AI credential attack surface is real and growing.

Our team uses the following AI tools with stored credentials or sessions: [list every AI service — Claude, ChatGPT, Cursor, GitHub Copilot, Gemini, Perplexity, and any API keys stored in config files or environment variables].

Help me secure our AI credential surface across three areas:

1. The credential audit — for every AI service we use: where are the credentials stored? Browser session tokens, saved passwords, API keys in .env files, config files in repos, or hardcoded strings? For each storage location: what is the blast radius if that location is compromised by commodity infostealer malware? The five malware families in today's Anthropic incident target exactly these locations.

2. The hardware key rollout — OpenAI made hardware security keys mandatory for all Daybreak accounts on September 1. Anthropic supports FIDO2 hardware keys for Claude accounts. GitHub supports them for Copilot. For our team: which AI accounts should require hardware keys immediately, and what is the rollout order based on credential value and blast radius? Write the five-step rollout plan.

3. The API key hygiene — API keys in .env files, hardcoded in scripts, or committed to repositories are the highest-risk AI credentials. For our codebase: what is the audit process to find exposed AI API keys, what rotation schedule should we set, and what monitoring would alert us if an API key is being used from an unexpected IP or at an unusual volume? Stolen AI API keys can consume thousands of dollars of credits before the bill arrives.

End with a one-paragraph security posture statement for our AI stack — what we have secured, what remains at risk, and the single action that reduces our exposure the most for the least effort. If the answer is "enable hardware keys on our primary Claude and OpenAI accounts," say so directly.

TOP TRENDING AI TOOLS

• Cursor — OpenAI models end November 12 — audit which models your workflows depend on
• Dograh — Open-source VAPI alternative for voice AI — 596 upvotes
• Blender Agent Bridge — Open-source MCP bridge for Blender AI workflow
•Construct Computer— Multi-agent automation, scheduled jobs, persistent context
• Meta Muse — Personal AI agent in email, calendar, WhatsApp, checkout — launched today, free + $20/$100 tiers
• AirJelly — Proactive second brain — on-screen activity to searchable memory and follow-ups
• Tucky — Notes docked to your screen edge with an AI agent inside
•Wispr Flow— Dictate in any app — 4x faster than typing, 100+ languages
•Soloop— AI video editor — auto-cuts, captions, repurposes long-form content
•ElevenLabs— Industry standard for voice cloning and text-to-speech

That’s a Wrap

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