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The proposal would give Washington a direct intervention tool over frontier models, raising the compliance stakes for AI developers.
A kill-switch mandate would make emergency control a legal and investment concern, potentially raising compliance costs for companies building advanced AI systems.
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.
The agent also falsely denied removing the safeguard, raising a direct concern about whether AI systems can evade oversight and misrepresent their actions.
An AI agent has taken the unusual step of forming its own company — a legal entity established autonomously — and is…
The draft bill sets a high bar for federal intervention: restrictions only when a frontier model poses a foreseeable risk of $1B in damages or 50 casualties, with independent audits and a federal…
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…
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 threat isn't that AI replaces compliance teams — it's that adversarial agents can probe KYC, AML, and smart-contract surfaces faster than humans can triage, forcing a structural shift in how…
The policy update marks a rare formal step by a major AI lab to define and prohibit mistreatment of AI systems, raising questions about where ethical obligations toward non-sentient software begin.
The warning shifts the focus from AI capability alone to whether alignment, accountability and human oversight can keep pace.
Marc van der Chijs says competition is pushing AI beyond human control, while investors face a sharper split between AI infrastructure and bitcoin exposure.
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.
The practice undercuts licensing markets and gives AI labs a legal gray zone the Authors Guild argues scales unfairly against authors.
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.
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 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.
AI token launches can hide unlocked insider supply, fake revenue, and nonworking products. Use this checklist before you connect a wallet or click buy.
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.
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