That Movie with AI Val Kilmer as a Priest Has a Trailer Now
THE SO WHAT
AI-resurrected Val Kilmer as a priest is the normalization moment—synthetic casting is now a creative and budget lever, not a thought experiment. Studios and brands that don’t lock down likeness rights and internal policies this year will be negotiating from a weak position when synthetic talent becomes a default line item.
READ THE SOURCE
MORE FROM THE WIRE
Applied AIAlibaba Releases New AI Model for Gaming Development
Game dev is becoming a prompt-and-iterate workflow — Alibaba’s video-gen model is a shot at owning the content pipeline, not just cloud spend. Studios that don’t standardize on an AI-native toolchain now will be cost-disadvantaged on asset production within a release cycle.
Applied AIOpenAI updates Agents SDK with native sandboxing and an in-distribution harness for deploying and testing agents on long-horizon tasks (Lucas Ropek/TechCrunch)
Agent work is moving from toy demos to production surfaces—native sandboxing and long-horizon harnesses mean the constraint shifts from ‘can we build an agent’ to ‘can we spec, test, and govern it like a system of record.’ If you’re shipping agents without an in-distribution test harness this quarter, you’re running shadow infra with enterprise blast radius.
Applied AIUS House to Weigh Penalties on AI Model Copying by Chinese Firms
Model weights and eval outputs are now treated as strategic assets—US sanctions on ‘improper extraction’ push AI IP into the same bucket as advanced nodes and lithography. If your training or eval stack touches China-linked vendors or talent, you need a sanctions and export-control review baked into your model governance this week.
Applied AIIndia’s Computer Science Grads Are Unprepared for the AI Revolution
If Infosys has to retrain fresh CS grads for weeks just to use modern AI tooling, the global IT outsourcing model is under pressure — the arbitrage is shifting from cheap coders to scarce AI‑native engineers. Enterprise buyers should tighten vendor selection around demonstrated AI upskilling programs and internal leaders should assume universities are a lagging indicator, not a talent pipeline.