Vitalik: AI Formal Verification Is Code's Final Form
Buterin's framing elevates a niche security discipline into a default workflow for Ethereum, ZK, and cryptography — with the caveat that verified code still isn't bulletproof.
71 stories mentioning it. Newest first.
Buterin's framing elevates a niche security discipline into a default workflow for Ethereum, ZK, and cryptography — with the caveat that verified code still isn't bulletproof.
Brian Trunzo argues that detection and disclosure have already lost the AI content war, and that cryptographic proofs, the same primitive that secured billions in blockchain assets, are the only way…
Theta Network and XYO have announced a partnership to build a blockchain-based verification layer designed specifically…
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…
AI-assisted cryptanalysis hit a long-trusted digital signature scheme and a well-known symmetric cipher, signalling the model's research utility is widening beyond code and prose.
Three cross-chain stacks route billions in user funds, yet each leans on a very different security model. Here is how IBC, LayerZero, and Wormhole actually verify a message.
The real threat is not AI failing to drive activity, it's that activity lands on bank and fintech rails, with fees flowing to stablecoin issuers and L2s rather than to base-layer token holders.
Polosukhin argues formal verification is the only path left as AI collapses the timeline from vulnerability discovery to exploit, and from manual audit to proof generation.
A validator is the modern replacement for a miner — a computer that stakes coins, proposes blocks and is paid to keep a proof-of-stake network honest.
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.
Everyone wants the 'best' AI crypto projects — but the real skill is knowing how to evaluate them. Here's a framework for separating substance from hype.
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.
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.
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.
Four categories explain every AI-token launch in 2025. Learn the honest tests that separate real infrastructure tokens from memecoins wearing AI branding.
HYPE is a perp-DEX token, TAO is decentralized-AI infrastructure, and VIRTUAL is an AI-agent launchpad. They share an AI label, not a thesis.
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.
AI token launches can hide unlocked insider supply, fake revenue, and nonworking products. Use this checklist before you connect a wallet or click buy.
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.