Fourteen posts map a busy day across markets, AI, policy, and culture. A CNBC-cited revision points to 1.2 million fewer US jobs, fueling talk of a labor recession and rate cuts. Treasury Secretary Scott Bessent urges deeper cuts and starts Fed chair interviews, while a separate thread flags Washington’s plan to take equity in strategic firms from chips to nuclear.
AI headlines dominate: Google’s Test-Time Diffusion Deep Researcher frames research writing as an iterative process and reports benchmark wins. OpenAI briefly surfaced an Alpha entry called Agent with truncation. Prompt comparisons pit Nano Banana against GPT-4o on creative image tasks. In robotics, Skild AI promotes heavy simulation in the style of NVIDIA’s Jim Fan, claiming 1,000 years of virtual training across many bodies.
Health news stands out as UCL researchers report a first treatment for Huntington’s disease, a rare milestone covered by the BBC. Geopolitics and cybersecurity intersect with reports of North Korean remote IT workers using AI tools to pass hiring and send funds home. Mobility moves include Lucid’s robotaxi engineering vehicle for Nuro under an Uber tie-up, with open questions on economics.
Culture meets markets as South Park spotlights prediction platforms amid rising volumes. Software debates resurface as posts weigh Python’s speed trade-offs and caution juniors to grow beyond assigned tickets without overstepping. A final thread revisits Elon Musk’s 2018 emails to OpenAI and shifting odds of success. Themes span revision risk, agentic AI, state industrial policy, and the gap between hype and traction.
