46 stories mentioning it. Newest first.
The rally signals investors are still betting on the picks-and-shovels layer powering the AI buildout, not just the model makers at the top of the stack.
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.
The Layer-2 network is letting autonomous agents act on a user's portfolio directly — a step toward agentic wallets that anyone with an API key can build on.
The consortium signals that frontier-model providers, chip vendors, and cloud platforms now treat open-source AI security as a shared engineering problem worth coordinating on, not competing over.
The founding argument is a Hugging Face breach in which closed AI tools reportedly blocked the forensic response; the alliance open-sources the stack defenders say they need to actually inspect…
Roberts' vertically integrated pitch — 5GW of secured grid capacity, a $3.4B NVIDIA Blackwell cloud deal, and a pivot beyond Bitcoin mining — reframes the AI build-out as a power-and-real-estate race…
Chipmakers were the most crowded institutional long of Q1 — the rotation into AI infrastructure names is now broad enough that the trade looks structural, not thematic.
Monad pitches an EVM-compatible high-throughput L1 for AI agents. Here is what the token mechanics, allocation, and narrative actually imply for traders.
Four categories explain every AI-token launch in 2025. Learn the honest tests that separate real infrastructure tokens from memecoins wearing AI branding.
AI agents that hold wallets and act on their own could reshape crypto — for better and worse. Here's how the idea works and why caution is warranted.
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.
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.
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.
Most crypto AI agents today are LLMs tied to a wallet with a narrow set of on-chain actions, not autonomous AGI. Here's how they really work and where the risk sits.
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.
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.
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.
AI and crypto are colliding in ways both promising and overhyped. Here's a grounded look at how the two technologies are actually converging — and the noise.
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.
What if money could manage itself? Autonomous finance imagines AI agents transacting on-chain without humans. Here's the vision, and the hard questions.
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