Contractors are reviewing real user prompts to train OpenAI's models — your "private" AI conversations have an audience. The intimacy most people assume with AI assistants is, at minimum, complicated.
iLands is deploying AI agents to perform meaningless busywork and then solicit payments — spam, now with an autonomous layer. The agentic era has its first grift category.
A hacker group extracted the full software stack from Flock Safety's surveillance cameras, exposing the tracking architecture beneath the hardware. As public backlash mounts against license-plate readers, this breach reveals exactly how deep the system runs.
Microsoft AI CEO Mustafa Suleyman argues models should not be treated as having feelings, preferences, or rights — calling consciousness the foundation of our ethical systems. A sharp line drawn by someone building the technology, not opposing it.
Anthropic has collapsed its fragmented product lineup — Cowork, chat, and Claude — into a single unified experience. Simplification at the interface level often signals maturation, or competitive pressure.
Mirendil founders — ex-Google and Anthropic researchers — are building AI systems designed to contribute meaningfully to their own development. The recursive self-improvement question is moving from thought experiment to funded startup.
Fox Business anchor Charles Payne warned that Congressional paralysis on AI and tech policy is handing China a generational lead — "by the time Congress hits the unpause button, China will be a century ahead." With the Fed hiking rates and markets rattled, the political class is focused on the wrong variables.
Citing François Chollet, the account flagged a crucial benchmark critique: AI systems can dominate standardized tests while learning far less efficiently than humans. Intelligence measured by what you know is different from intelligence measured by how fast you acquire it — a distinction the industry keeps glossing over.
Wharton professor Ethan Mollick identified a reliable tell for AI-generated text: over-assigning agency to inanimate things — "the code knows it now," "the plan remembers." It's a stylistic artifact that reveals how models simulate causality rather than understand it.
Google's analysis found scientists using AI save an average of 6.9 hours per week — and 74% of those surveyed reported meaningful time savings. That's not a marginal productivity bump; compounded across research institutions, it starts to look like a structural acceleration in scientific output.