A new category of AI-generated abuse imagery is emerging — slightly modified versions of nonconsensual deepfakes designed to evade detection. The technique exploits the gap between what moderation systems flag and what human eyes recognize as harmful.
Torvalds used AI to help crack a debugging session he called "from hell," crediting it with handling significant grunt work. Notably, the AI repeatedly declared the problem "impossible and unsolvable" — and was wrong every time.
Former Google and Anthropic researchers at Mirendil are building AI systems designed to meaningfully contribute to their own development. The framing shifts AI from productivity tool to recursive infrastructure — systems that accelerate themselves.
A local township is using a six-month freeze on major electrical infrastructure as a last-ditch effort to stall a data center built to support America's nuclear arsenal. It's a novel legal maneuver in what's becoming a broader battle over where AI-era compute gets built.
Willison argues the core skill for working with coding agents isn't reading every line they write — it's confidently directing and verifying outputs through multiple lenses. A quiet but important reframe of what "human oversight" actually means in practice.
Bronze Age Arabian pottery shows all the hallmarks of modern brand strategy: consistent materials, distinct visual identity, and cultivated cultural reputation. Marketing didn't start with Madison Avenue — it started with clay.
AI agents now burn nearly 5x the tokens that humans do, and that figure is up 14x since February. This isn't a usage trend — it's a structural shift. Agents are becoming the primary consumers of AI infrastructure, and the economics of every model provider need to be rethought around that reality.
Mollick flags the coming contradiction cleanly: people will tell pollsters they hate AI while quietly using it for everything. This is the tobacco-era gap between stated preference and revealed behavior — and it has massive implications for how AI policy, regulation, and public sentiment will diverge from actual adoption curves.
Ng published what he considers the most important skills for building and deploying AI applications. In a field drowning in framework tutorials, a foundational skills map from one of its architects is worth slowing down for — especially as the gap between "using AI" and "deploying AI" widens fast.
Gemini 3.7 Flash is Google's fastest-growing model launch ever, per Kilpatrick on the inside. After years of DeepMind being the critical darling that couldn't find a product, this signals a genuine inflection — and puts real competitive pressure on OpenAI's mid-tier offerings.