AI Is Solving Math's Best Problems Faster Than They Can Be Replaced, Terence Tao Warns
The Fields medalist points to a real race between OpenAI and Anthropic as proof: AI can now flatten a hard problem the moment someone starts working on it.
The trading volume of MATH (MATH) is $72,240.00 in the last 24 hours, with stable market activity.
MATH (MATH) reached an all-time high of $3.15 on Mar 20, 2021 and an all-time low of $0.02 on Aug 17, 2026 . It's now trading 99.28% below that peak and 18.87% above its lowest price.
Market capitalization of MATH (MATH) is $4,299,373 and is ranked #1754 on CoinGecko today. Market cap is measured by multiplying token price with the circulating supply of MATH tokens (190,630,131 tokens are tradable on the market today).
The fully diluted valuation (FDV) of MATH (MATH) is $4,511,800. This is a statistical representation of the maximum market cap, assuming the maximum number of 200,000,000 MATH tokens are in circulation today. Depending on how the emission schedule of MATH tokens are designed, it might take multiple years before FDV is realized.
With a price decrease of 0.90% in the last 7 days, MATH (MATH) is underperforming the global cryptocurrency market which is up 5.1%, while underperforming when compared to similar Smart Contract Platform cryptocurrencies which are up 4.1%.
Adding MATH (MATH) to MetaMask allows you to view your token holdings, trade on decentralized exchanges, and more.
To add them, you'll need to import MATH as a token. You can copy MATH's contract address
(0x08d967bb0134f2d07f7cfb6e246680c53927dd30) and import it manually, or add MATH to MetaMask with one click.
The circulating supply of MATH (MATH) is 190,630,131 MATH tokens, which represents 95.32% of the maximum supply of 200,000,000 tokens.
You can buy MATH (MATH) on various cryptocurrency exchanges. The most popular exchanges for trading MATH are typically centralized exchanges (CEX) like Binance, Coinbase, and Kraken, as well as decentralized exchanges (DEX) on the Ethereum network. Always ensure you're using a reputable exchange and enable two-factor authentication for security.
News
The Fields medalist points to a real race between OpenAI and Anthropic as proof: AI can now flatten a hard problem the moment someone starts working on it.
NYU's Tristan Buckmaster accuses OpenAI's Sébastien Bubeck of racing to claim credit for a Navier-Stokes proof after learning about his unpublished work with Anthropic's...
Anthropic says Claude spent 11 days turning Fermat's Last Theorem into 13 million lines of code a computer can check itself, no human trust required