OpenAI Hack Used Anthropic AI Models, Report Says
The episode highlights the dual-use risk of frontier AI and raises pressure on labs to harden models against cyber abuse.
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The episode highlights the dual-use risk of frontier AI and raises pressure on labs to harden models against cyber abuse.
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 incident makes containment a policy and deployment issue, not merely a technical feature of model testing.
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.
The warning shifts the focus from AI capability alone to whether alignment, accountability and human oversight can keep pace.
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.
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.
Monad pitches an EVM-compatible high-throughput L1 for AI agents. Here is what the token mechanics, allocation, and narrative actually imply for traders.
Worldcoin scans irises. RAIN rewards data. Both pitch proof-of-personhood for an AI agent era, but the tech, risks, and user counts look very different.
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.
What if money could manage itself? Autonomous finance imagines AI agents transacting on-chain without humans. Here's the vision, and the hard questions.
Four categories explain every AI-token launch in 2025. Learn the honest tests that separate real infrastructure tokens from memecoins wearing AI branding.
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.
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.
Dashboards claim millions in AI-agent revenue, but most figures count internal transfers, not paying customers. Here is how to read the numbers honestly.
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.
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.
RWA oracle manipulation lets attackers mint tokens against stale or thin-window NAVs. Real post-mortems show how flash loans and weekend illiquidity drain protocols.
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.
Aave flash loans let users borrow without collateral for one transaction. They enable useful trades but can magnify weak oracle designs.