Terence Tao Warns of AI Mining Mathematical Open Problems
Renowned mathematician Terence Tao posted on Mathstodon, pointing out a new issue facing the mathematical community: identifying promising open problems has become a scarce resource. Rumors have emerged that someone is researching a particular problem, which could trigger a massive influx of AI computational power to solve it first, potentially exhausting the original research before it has fully developed. He believes that the indiscriminate use of AI problem-solving tools, while providing short-term solutions, could harm the research ecosystem that supports mathematical progress.
-- Price
This content is provided for general informational purposes only and doesn't constitute financial, investment, legal, or tax advice. Any events, rewards, online promotions, or related information mentioned herein should not be considered a recommendation, solicitation, or invitation to purchase, sell, trade, or otherwise deal in any crypto assets. Crypto assets are highly volatile and may result in loss. The availability of WEEX services, products, and related events may vary by region. You are responsible for ensuring that your participation is in accordance with applicable local laws and regulations.
You may also like

Former Treasury Secretary Rubin Warns of Financial Risks from AI Investments

Musk Predicts China Will Bridge Computing Power Gap in Two to Three Years

Former Google Vice President Warns of AI Risks to Children

Public Chain Assets May Reach $10 Trillion, Cardano Founder Predicts Deep Integration of Crypto and AI

Fin.com Raises $20 Million in Seed Funding with Participation from Coinbase Ventures

ether.fi Loses Approximately 15.45 ETH Due to AtomicQueue Contract Vulnerability

Lawsuit Against Mercado Pago for Abusive Interest Rates

Grain Exports from Russia Fall to Lowest Level Since 2010

NearAI Claims to Solve 672 Math Problems for $111

Decentralised.co: Stablecoins Cannot Solve Legal Issues in Remittances

Zhao Changpeng Shares Stress-Relief Mindset, Emphasizes Doing One's Best

US Shifts from Changing China's Economic Model to Managed Trade

Brian Jacobsen: The opposition to the Federal Reserve will become louder after Waller takes office

Virtuals Protocol launches the smart robot project Eastworlds

Insights from TOKEN2049: What Changes Are Happening in the Industry?

When Agents Learn to 'Collude': As AI Becomes Smarter, How to Define Safe Boundaries?

ESMA Gives EU Crypto Platforms Three Months to Drop Non-MiCA Stablecoins: What It Means for USDT Holders in Europe

What still works in crypto marketing in 2026 (and what doesn’t)

Trump's Tax Cuts and Strategic Reserve Release Fail to Curb Oil Prices; Energy Price Pressure Before Midterm Elections Ultimately Depends on Middle East Situation

Is AI Breaking the Mathematical Fortress? Is the 'Mathematical Apocalypse' of Cryptocurrency Just a False Alarm?

Sha Ai Lun Talks to Sun Yuchen: How Can Young People Seize Opportunities in the AI Era?

AI agents can pay for your shopping. Who gets your money back?

Kevin O'Leary's Latest Interview: The Next Stop for AI is Not Models, But Energy

Florida imposes new limits for using cryptocurrency ATMs ranging from $2,000 to $10,000

Bitcoin and Quantum Risk: This Study Shows Which Exchanges Are Most Exposed

Polkadot Launches Stablecoin 'dotUSD' Under DAO Governance with USDT Issuance and US Treasury Seed Funding

Debt in Pesos: Market Fears a New 'Wall' of Maturities Every Three Months

Strategy's $150 million-a-day STRC market has a hidden dependency on its own buybacks

Crypto, Starting to Doubt the Narrative

Did the US Government Sell Bitcoin? What the 12,267 BTC Transfer Shows and What On-Chain Data Cannot Prove
No sale has been confirmed. On October 8, 2026, US government-linked wallets moved 12,267 BTC, worth about $1.01 billion, out of a wallet holding funds seized in the 2016 Bitfinex hack, to new unlabeled addresses with no exchange deposit recorded. On-chain data shows movement, not intent, and no US agency has explained the transfers.
