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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.
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.
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.
Huang’s framing shifts AGI from a distant milestone to a commercial question, putting deployment, inference demand and measurable value at the center of the AI investment case.
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…
President Trump says his administration is actively exploring a policy that would give ordinary Americans direct…
The move would put AI coordination at the center of the US administration's technology agenda as the industry accelerates.
The proposal from one of the industry's most prominent safety voices adds institutional weight to a debate regulators in the US and EU are already circling.
An AI agent has taken the unusual step of forming its own company — a legal entity established autonomously — and is…
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.
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.
Four categories explain every AI-token launch in 2025. Learn the honest tests that separate real infrastructure tokens from memecoins wearing AI branding.
Monad pitches an EVM-compatible high-throughput L1 for AI agents. Here is what the token mechanics, allocation, and narrative actually imply for traders.
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.
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.
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.
Three AI agent launchpads, three different fee models, and one shared question: does the platform's own token actually capture any of the trading volume below it?
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.
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.
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