A TTP analysis finds dozens of nudify apps in Apple and Google app stores via search, despite company policy prohibiting them; they generated $122M+ in revenue (Bloomberg)
THE SO WHAT
There is now a $122M proof that platforms will monetize AI‑driven abuse faster than they can police it — policy without enforcement is just margin. If your brand or app relies on Apple/Google trust and safety, assume enforcement lag as a constant and build your own guardrails and detection.
READ THE SOURCE
MORE FROM THE WIRE
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 AIThat Movie with AI Val Kilmer as a Priest Has a Trailer Now
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.
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.