Artificial Intelligence

Researchers say access to AI advice sharply reduced people’s willingness to admit uncertainty, while also lowering accuracy and raising confidence on questions where the model often got things wrong.

New York City’s latest housing report calls for landlords and realtors to disclose when AI or other digital tools have been used to alter rental listings.

A long essay argues that AI adoption is being driven less by measurable gains than by pressure, signaling, and fear of dissent inside large organizations.

A humorous source piece argues that many AI brand marks share a recurring visual formula: circles, gradients, and central openings that can resemble anatomy. The broader point is about convergence in tech branding.

AP reported on a White House order creating a voluntary process for vetting advanced AI systems before release. The move offers a clearer view of how Washington is thinking about AI oversight now.

Anthropic is urging faster state-level AI regulation, a useful signal that frontier labs are trying to shape the rules before the next wave of model deployment. The piece is relevant for readers tracking how AI policy is being fought in the states, not just in Washington.

The UK is pairing a national AI supercomputer with support for domestic chip startups in an effort to reduce reliance on foreign hardware and infrastructure.

OpenAI’s debut hardware is a $230 mini-keyboard that surfaces the status of multiple Codex threads at a glance, underscoring how agentic AI is pushing demand for human oversight tools.

The French startup, backed by notable AI and startup figures, is releasing ZML/LLMD as a free way to explore faster inference across Nvidia, AMD, Google TPU, Apple Metal and Intel Arc hardware.

A blog post on Beagle SCM argues that the best way to use large language models in developer workflows may be to surround them with deterministic tools that steadily take over repetitive tasks.