Corey Noles

Adobe Firefly is best for teams that want AI creative tools inside Adobe's ecosystem, with stronger commercial-safety guardrails than many standalone generators.

NVIDIA’s Nemotron 3.5 Lightning and NeMo Switchyard make the case for local-first AI agents that route routine work to efficient models and escalate only the hard tasks.

The iOS 27 beta, has given us a long elusive prize: a usable Siri. Siri AI is reliable enough for the everyday iPhone tasks people once stopped asking it to do.

The FCC has blocked new foreign-produced robots from the U.S. market, making supply-chain trust a defining feature of physical AI.

Microsoft’s MAI-Cyber-1-Flash and Project Perception show how specialized AI, agent orchestration, and human controls could reshape security.

Nvidia’s reported $250 billion backstop for OpenAI raises real financing risks. But OpenAI’s bigger wager is avoiding a costly compute shortage.

Unverified report of a possible U.S. crackdown on Chinese AI models raises a real concern: security policy must be built on demonstrable risk, not geography—and it should not single out open weights.

Adobe Firefly, Canva, and Midjourney all make AI visuals, but they solve different business problems. Here is how to choose the right one.

NVIDIA used Cosmos 3, TAO agent skills, LoRA, and AutoML to automate vision-model post-training. The real story is agentic ML operations.

AI agents are moving beyond office workflows and into trucks, dispatch centers, maintenance shops, and field teams. Samsara CTO John Bicket explains what that shift could mean for safety, trust, and the physical economy.

Demis Hassabis’s proposal for independent frontier-AI testing offers a nonpartisan alternative to industry self-rule and political vetoes.

AI distillation can make open models cheap enough to run locally. The real security problem is covert extraction of closed-model capabilities through fraudulent API access.