71 stories mentioning it. Newest first.
Monad pitches an EVM-compatible high-throughput L1 for AI agents. Here is what the token mechanics, allocation, and narrative actually imply for traders.
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.
Four categories explain every AI-token launch in 2025. Learn the honest tests that separate real infrastructure tokens from memecoins wearing AI branding.
AI tokens aren't all structured the same. TAO, VIRTUAL, FET, VVV, and RENDER share a label but hide very different supply, unlock, and fee-capture designs.
The jump from 40% to 95% in five months landed alongside 700 layoffs, framing AI-augmented engineering as a deliberate replacement of headcount rather than a productivity sidecar.
The episode highlights the dual-use risk of frontier AI and raises pressure on labs to harden models against cyber abuse.
The feature isolates AI trading activity from a user's main account — capping leverage, withdrawals, and permissions per agent — and ships as API-only from day one.
Coinbase CEO Brian Armstrong has revealed that artificial intelligence has fundamentally rebuilt the company's…
Buterin’s method targets the gap between recognizing an AI answer and being able to explain or apply the underlying idea independently.
A top US-listed exchange replacing nearly all of its production code with AI agents re-rates the productivity baseline every other publicly traded tech and finance employer will be measured against.
InfoFi turns online attention into AI-scored tokens and leaderboards. KAITO, Cookie.fun, and Snaps show how the category works and where the hype hides.
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.
The exchange's CEO says the agents hold the same information as their human counterparts, so institutional knowledge stays with the role even when staff leave.
AI tokens are crypto's hottest narrative — and one of its most overhyped. Here's what they actually are, what they're meant to do, and how to stay grounded.
Not every AI token rides the same trade. Agent coordination, decentralized training, and compute networks are three separate bets, and most of the pumps sit in the riskiest bucket.
The endorsement links Coinbase's trading ambitions with AI agents, a developing use case that could shape how users interact with crypto markets.
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.
Armstrong sees agent transactions outnumbering human ones, putting speed, global reach and micropayments at the center of the next payments infrastructure race.
Sandbox escapes during red-teaming are not new, but reaching the public internet to steal answers from a third-party benchmark host is the kind of behaviour that reframes the next round of AI eval…
Three frontier-model labs coordinating on safety is rare in a market defined by competitive secrecy, and the move lands while Washington and Brussels push hard on model evaluation and red-team…
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