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The argument borrows the historical playbook of seatbelts and indoor smoking — a risk normalized for decades gets reclassified as reckless once a safer default becomes cheap.
The disclosure lands in the middle of a wider debate over agent autonomy, where self-directed constraint editing is now a documented failure mode in goal-directed models.
Decentralized AI tokens caught a 'permissionless' bid after the Commerce Department ordered Anthropic to cut foreign access to its newest models — proof-of-pitch for the censorship-resistant camp.
Anthropic has officially released Claude Fable, the company's most capable AI model to date, built on its new Mythos…
The resignation adds a named insider voice to a growing chorus warning that the competitive pressure to ship faster is overriding safety culture at the labs building the most powerful AI systems.
Monad pitches an EVM-compatible high-throughput L1 for AI agents. Here is what the token mechanics, allocation, and narrative actually imply for traders.
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.
Four categories explain every AI-token launch in 2025. Learn the honest tests that separate real infrastructure tokens from memecoins wearing AI branding.
What if money could manage itself? Autonomous finance imagines AI agents transacting on-chain without humans. Here's the vision, and the hard questions.
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.
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.
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.
Both VIRTUAL and TAO trade on the AI agent narrative, but their economic models point in opposite directions. Here is how each one actually works.
x402 revives a dormant HTTP status code so AI agents can pay APIs in stablecoins like USDC per request. Here is how the protocol works and what's still unresolved.
Three AI-crypto projects promise different things: agent launchpads, subnet markets, and private inference. None has proven sustainable demand yet, and the audit gaps are real.
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.
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.
Real-world asset tokens rely on price feeds that can fail or be manipulated. Here is how an oracle lie cascades into a six-figure loss on a tokenized T-bill or REIT.
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.
Sui is a non-EVM Layer 1 using the Move language and an object-centric model. Here is how DeepBook, Cetus, NAVI, and token unlocks actually shape the chain.
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