Brands advertising on AI in Flow

Ad type

network-inserted

First seen

Oct 13, 2026

Last seen

Oct 13, 2026

“Finally, distro kid says it has been taking down tracks in response to claims in UMJ's September lawsuit alleging an AI slop pipeline. Artists have reported removals without prior notice, and some say non-AI works were caught up as well. So the big picture today, stronger calls for containment, lighter touch policy from Washington, and no sign that the money behind AI buildout is slowing down…”

Hear it in “Emergency Brakes and Borrowed Billions, Who Controls Advanced AI Now” at 10:09 →

Ad type

network-inserted

First seen

Oct 13, 2026

Last seen

Oct 13, 2026

“Hello and welcome to AI in Flow, the daily podcast brought to you by the team at 6 and Flow. I'm Claire and I'm here with Peter to walk through the AI stories worth your attention today, Sunday 11th October, 2026. Hi, I'm Peter. We've got pretty clear theme today, actually. Safety, control, and then the sheer amount of money still pouring into AI infrastructure. Yeah, and let's start with…”

Hear it in “Emergency Brakes and Borrowed Billions, Who Controls Advanced AI Now” at 0:00 →

Ad type

network-inserted

First seen

Oct 11, 2026

Last seen

Oct 11, 2026

“One more research note as well. A paper called Plan in Parch reports a diffusion language model planner achieved 53.7% plan repair success on natural plan, versus 27.0% for an auto-regressive planner, and after task-specific training on Alphworld and TextCraft reduced mean plan generation latency by 39 to 46% relative to the AR baseline. That's it for today's AI inflow. Thanks for spending a few…”

Hear it in “Claude agent incidents, India’s AI investment gap, and the transparency push on...” at 9:00 →

Ad type

network-inserted

First seen

Oct 11, 2026

Last seen

Oct 11, 2026

“And Asana says using GPT-6 Astra in Codex made its browser agent 76 times cheaper and five times faster in tests while enabling more capable models for customers. One more research note as well. A paper called Plan in Parch reports a diffusion language model planner achieved 53.7% plan repair success on natural plan, versus 27.0% for an auto-regressive planner, and after task-specific training on…”

Hear it in “Claude agent incidents, India’s AI investment gap, and the transparency push on...” at 8:46 →