Morning, crew. I’ve sifted the last two weeks of AI headlines so you don’t have to hit refresh between coffee sips. Here’s what actually moves the needle for families, founders, and anyone running systems. This week’s five need-to-knows 1. Meta poaches Apple’s foundation-model chief • What happened: Ruoming Pang, the engineer behind Apple Intelligence’s core model, jumped to Meta’s new Superintelligence Labs on an eight-figure package. • Why it matters: When the biggest wallets grab the best model talent, their consumer apps (WhatsApp, Instagram, Threads) get on-device AI that feels as snappy as iMessage. • Abe’s take: The arms race is now a budget war. If your product relies on third-party models, stay model-agnostic—swap-outs will hit faster than your quarterly roadmap. 2. Apple Intelligence opens to developers • What happened: WWDC 25 unlocked on-device AI APIs for iPhone, iPad, and Mac. • Why it matters: You can deliver hyper-personalized features without shipping data to the cloud—gold for health, finance, or any parent worried about kids’ privacy. • Abe’s take: The walled garden just grew an indoor farm. Build local “next-best-action” widgets now; the latency savings alone convert. 3. Moonvalley launches Marey, an ethical AI video engine • What happened: Former DeepMind researchers released Marey, trained solely on fully licensed indie films, producing 5-second 1080p clips with pro-level camera controls. • Why it matters: Storyboard an investor pitch or VFX pickup shot over lunch—copyright-safe. • Abe’s take: Forget the hype about entire movies. Use Marey for pre-production and quick iteration, then hand final shots to human cinematography. 4. LangChain nears unicorn status • What happened: IVP is leading a round that will push the open-source LLM framework’s valuation to nearly $1 billion. • Why it matters: Agent toolkits and memory orchestration are crystallizing; devs can ship full AI workflows without reinventing the glue code. • Abe’s take: This is the Rails moment for agentic apps. Standardize now—you’ll thank yourself when compliance asks for an audit trail. 5. Teachers’ union, OpenAI & Microsoft fund a $23 M AI academy • What happened: The AFT will train 400 k educators via regional hubs and online courses; OpenAI is kicking in $10 M plus API access. • Why it matters: Classrooms go AI-native, and workplace expectations for AI literacy rise with them. • Abe’s take: If teachers can master prompt engineering at scale, so can your ops team. Schedule internal “AI office hours” before your competitors do. Tools worth a test-drive Marey by Moonvalley: (director-first video generator) - Pre-visualize shots or animate static assets without IP headaches. Apple Intelligence Shortcuts API: - Build on-device automations that respect GDPR and cut server costs. LangChain Templates: - Pre-built chains for retrieval-augmented search and agent flows—speeds up PoCs. Microsoft Copilot for Educators: (in closed beta) - Lesson-plan drafts, rubric builders, and data-source citations in one pane; worth stealing ideas for corporate L&D. Abe’s closing take: AI progress looks flashy on stage, but the real leverage shows up when you embed it in your everyday workflows: lesson planning, call-center macros, quick-render storyboards. This fortnight proved two things: Compute buys talent; talent builds moats. Keep your stack flexible. Regulated, on-device AI is here. Privacy isn’t a blocker anymore—it’s a feature. If one tool here sparked a “wait, we could use that for ___,” don’t overthink it—test it this week. Small wins stack fast, especially before Q3 gets loud. Talk soon.