Episode Details

A quick catch-up on the AI stories shaping infrastructure, platforms, and real-world deployment. Today: Nvidia uses its Seoul trip to spotlight South Korea’s role in sovereign AI and robotics, TechCrunch reports Google is paying SpaceX $920 million per month for bridge compute capacity, and we look at a new paper on helping multimodal models learn new skills over time without full retraining.

Covered stories:
- Nvidia spotlights South Korea as a center of sovereign AI infrastructure, robotics, and AI factory buildout
- TechCrunch reports Google will pay SpaceX $920 million per month for compute amid stronger-than-expected demand for AI products
- Research: ProtoAda and the push to help multimodal models keep learning new vision-language skills over time
- Simon Willison releases a MicroPython plus WebAssembly sandbox for running Python code more safely
- Microsoft’s Xbox showcase mixes game announcements with more ambiguity around exclusives
- A school shooting survivor sues an AI gun-detection firm after a system allegedly failed to detect a weapon
- Perplexity unveils “Search as Code,” aiming to let models compose their own search pipelines instead of relying on fixed APIs

Source links:
- https://blogs.nvidia.com/blog/korea-ecosystem-2026/
- https://techcrunch.com/2026/06/05/google-will-pay-spacex-920m-per-month-for-compute/
- https://arxiv.org/abs/2606.02576v1
- https://simonwillison.net/2026/Jun/6/micropython-in-a-sandbox/#atom-everything
- https://www.theverge.com/entertainment/944191/xbox-games-showcase-2026-news-trailers
- https://arstechnica.com/tech-policy/2026/06/school-shooting-survivor-sues-ai-gun-detection-firm-after-system-failed-to-spot-weapon/
- https://the-decoder.com/perplexitys-search-as-code-lets-ai-models-write-their-own-search-pipelines-instead-of-calling-fixed-apis/