xAI Launches Imagine Image 2 to Expand Visual AI
The move adds another contender to a fast-moving image-generation market where adoption and developer interest shape platform value.
33 stories mentioning it. Newest first.
The move adds another contender to a fast-moving image-generation market where adoption and developer interest shape platform value.
The social analytics platform extends beyond Web3 to score AI creators on content, distribution, and topic reach, signalling a broader convergence of Web3 and AI influence metrics.
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.
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 governance challenge is balancing Astra's lower compute costs with enough visibility for humans to audit how AI agents reason.
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…
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.
President Trump says his administration is actively exploring a policy that would give ordinary Americans direct…
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.