AI Deep Dive

Pete Larkin

Curated AI news and stories from all the top sources, influencers, and thought leaders.

  1. 94: The Year AI Earned Legal Authority

    JAN 8

    94: The Year AI Earned Legal Authority

    AI has crossed a line — it no longer only helps, it now decides. This episode traces that boundary shift from personalized health to institutional finance and consumer hardware. We unpack OpenAI’s ChatGPT Health, which links Apple Health, MyFitnessPal, Peloton and Be Well medical records into isolated, encrypted health chats that OpenAI promises not to use for model training — a move designed to trade scale for trust. Then we examine Utah’s landmark approval of Doctronic’s autonomous prescription refill system: 191 drugs covered, critical exclusions (pain meds, ADHD treatments, injectables), 99% agreement with human clinicians across 500 cases, $4 per refill pricing, and supervising physicians retaining legal responsibility — a blueprint states from Texas to Missouri are already watching. On the consumer edge, Lenovo’s Cura (Kira) pushes ambient, cross-device context into millions of PCs, bundling OpenAI/Microsoft cloud models with specialist tools like Stability AI to make assistants feel like continuous collaborators. At the institutional apex, JP Morgan’s Proxy IQ automates proxy voting across $7 trillion in assets — proof that firms now trust AI with governance-level strategy. We also explain the technical engines enabling this leap: context graphs that map relationships across people, projects and decisions, and Hugging Face’s Fine PDFs — a 3 trillion token, high‑quality dataset that unlocks expert reasoning. Practical examples show the immediate value: Claude automating Gmail-to-sheet expense tracking, and ChatGPT 5.2 turning a six‑page PT plan into a 20‑week, patient-friendly recovery grid. Finally, we confront the core question for marketers, technologists and regulators: when billion‑dollar valuations (Anthropic, OpenAI) hinge on systems that will fail sometimes, where does accountability live and who owns the cost when an AI decision goes wrong? This episode equips you to spot the risks and opportunities as AI moves from assistant to authorized actor.

    19 min
  2. 93: Holograms Health Tests and the New Rules of Frontier AI

    JAN 7

    93: Holograms Health Tests and the New Rules of Frontier AI

    Frontier AI just leapt from demos to daily economics — money, models and medicine are moving at breakneck speed and marketers must rethink what wins. This episode synthesizes the week’s biggest moves: massive strategic capital (XAI’s $20B round and sovereign backers that tilt compute and distribution), a hardware arms race (multi‑gigawatt datacenters and Memphis facilities), and product leaps that push AI off the screen — Razer’s Project AVA holographic Grok companions, Gemini’s video‑to‑code transforms, and Sleep FM’s sleep‑based foundation model that predicts dozens of diseases from one night of data. We explain why Claude Skills and Cursor’s dynamic context discovery aren’t just technical tweaks but the cost architecture that makes agents practical (token efficiency + modular skill files = deployable automation), and why OpenAI’s science hiring plus GPT‑5 Pro’s rapid problem solving signals a new industry tradeoff between buying commodity intelligence and building proprietary capability. For marketing teams and AI strategists the takeaways are immediate: treat agent interfaces like product experiences (learn from game design), protect privacy and consent as first‑order business risks for ambient devices and health agents, and pivot content strategy from SEO to machine‑first formats that agents can reliably index and reuse. Practical next steps include auditing your data plumbing, prototyping one agent workflow with human checkpoints, and negotiating distribution and compute in any partnership — because in 2026 the winners will be the teams that pair cheap, fast intelligence with ironclad trust and operational controls.

    13 min
  3. 92: AI Agents Are Leaving the Cloud and Entering the World

    JAN 6

    92: AI Agents Are Leaving the Cloud and Entering the World

    This episode slices through a blistering news cycle to track three seismic shifts: AI assistants have migrated from speakers to the web and every screen; reasoning AI is going physical with open‑source stacks for cars and robots; and consumer adoption in healthcare is already massive and quietly consequential. We unpack Amazon’s tactical pivot — Alexa.com and an agentic Alexa Plus with Expedia, Yelp and Uber integrations — and why that distribution advantage matters as rivals like OpenAI chase vision and commerce (hence the Pinterest chatter). Then we explain Nvidia’s Alpamayo and the “ChatGPT moment for physical AI”: chain‑of‑thought reasoning, open datasets, and auditable decision traces that lower the barrier to building autonomous vehicles and robots — and force regulators to rethink safety for open components. We cover the hardware and economics powering the shift: Vera Rubin chips promising ~10x cost cuts, AMD roadmaps that leapfrog performance, Meta’s Kernel Evolve automating hardware-specific tuning, and smaller smart models like Falcon H1R that beat much larger rivals. For marketers and founders the implications are immediate — agentic commerce, visual-first shopping experiences, and turnkey creative workflows (think Gen Store and nanobanana Pro) change go-to-market economics for solo sellers and brands. We also dig into the hidden story in healthcare: ~40 million daily ChatGPT health users, 5% of all prompts, 70% outside clinic hours and hundreds of thousands weekly from rural “hospital deserts,” pushing regulators toward new FDA pathways. Finally, we highlight what investors and builders must watch: gross profit per token (gppt) as the new valuation lever (0.71 correlation), risky CAPEX bets built on LOIs, and the regulatory tension between fast open innovation and public safety. Actionable takeaways for marketing pros: plan for agentic, multimodal experiences; prioritize efficiency over scale; and map regulatory exposure as a go‑to‑market risk.

    15 min
5
out of 5
4 Ratings

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Curated AI news and stories from all the top sources, influencers, and thought leaders.