Procurement teams want verifiable code, analysts want airtight math, and risk officers want schema guarantees, yet most enterprise stacks still pay frontier-scale prices to coax small models into brittle reasoning that falters without a heavyweight teacher or weeks of finely tuned reinforcement, a
Physical AI in South Korea has shifted from lab demos to city services that answer for uptime, safety, and integration. The center of gravity is constrained autonomy that works within tight geofences when conditions are known. Kakao Mobility’s strategy converts ride-hailing muscle into Level 4
Laurent Giraid has spent years building AI systems that move beyond raw data into meaningful representations—first with hand-tuned encodings, then with neural features, and now with multimodal encoders that read text, see images, and interpret context at once. In this conversation with Dustin
Executives have learned the hard way that high-accuracy models do not translate into high-quality decisions when context, incentives, and governance are missing, and the cost of that gap shows up in stalled pilots, inconsistent KPIs, and customer journeys that drift under real-world pressure.
Across Thailand’s hospitals and labs, a quiet revolution in healthcare AI is hitting critical mass as developers, clinicians, and policymakers align incentives to automate care and rewire operations at scale. The fastest-growing cohort in the country’s tech economy now sits inside health systems
Bottlenecks that once hid behind peak FLOP charts had begun showing up in the places that matter most—latency-bound inference paths, goodput on sprawling training jobs, and the hard ceilings of data center power—which set the stage for a deliberate split in silicon designed to tame the opposing
