11 stories mentioning it. Newest first.
Most AI-themed tokens ship no AI. A clean three-bucket framework (utility, governance, meme) helps you tell working products from wrappers and wrappers from jokes.
The follow-up to Meta's 2024 non-invasive typing model halves error rates and hints at a path to BCIs consumers could actually wear.
Monad pitches an EVM-compatible high-throughput L1 for AI agents. Here is what the token mechanics, allocation, and narrative actually imply for traders.
Scammers are using AI video and voice clones of crypto founders in live calls. Here is how the attack flow works and the one habit that stops it.
Roughly 9 in 10 new AI-themed tokens lose most of their value within weeks. Here are the on-chain and social patterns that separate signal from noise.
An admin key leak let an attacker mint unbacked eBTC on Monad; the team's $816K loss is contained, but a 955-eBTC burn and an active phishing warning mean the cleanup is not over.
Most AI tokens are not AI projects. Learn the five questions that separate tokens using AI from tokens that just say AI, with on-chain checks included.
Hype is the engine that pumps crypto prices and the trap that empties wallets. Here is how to tell real momentum from social-media froth, before you chase the wrong move.
DePIN tokens back real hardware networks like Filecoin and Render. AI tokens like TAO and VIRTUAL fund software models with no physical layer. The economics diverge sharply.
Solana leads AI-token liquidity today, SUI wins on parallel-execution throughput, and Aptos pitches Move-based safety. The chain matters less than the protocol's traction and revenue.
Three AI agent launchpads, three different fee models, and one shared question: does the platform's own token actually capture any of the trading volume below it?
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