Anthropic's Fable Five returned worldwide on July 1 after a brief export-control pause. It's being called the smartest public model — and also the most expensive. It shines on very hard, checkable problems (e.g., applying a correct change across 50 million lines of code) because it can iterate and self‑verify; for routine, fully playbooked tasks it's often overkill. A practical operator pattern is distillation: have Fable solve the hard instance, write the inputs, steps, and verification checks, refine that into a reliable playbook, then run repeatable work on a cheaper model. Anthropic also shipped a lower‑cost agent model aimed at continuous orchestration — big model for discovery, smaller models for steady state. Industry notes: OpenAI reportedly shopped a 5% stake to the U.S. government; Meta says agents haven’t accelerated as expected; an AI discovered a bug that hid in core internet software for 29 years. Hard problems with checkable outcomes keep producing outsized value. If you’re experimenting with playbooks or Fable Five, tell us how it goes. Fable Five is back and expensive — brilliant for hard, checkable problems but overkill for rote tasks. Use distillation: let Fable draft and refine a playbook, then run steady work on cheaper models. Anthropic also released a low‑cost agent model. OpenAI reportedly floated 5% to the U.S.; an AI found a 29‑year internet bug. Are you distilling model expertise? Share experiments and questions. #AI #MLOps #LLMs #AIagents

Anthropic’s Fable Five Touted as Smartest Public Model — Operators Distill Its Outputs into Cheaper Agents for Routine Work

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Google’s Gemini 3.5 adds built‑in computer use as agentic ransomware surfaces; Utah pilots automated prescription refills while tech softens on job‑loss warnings

Quick headlines — 4 fast stories 1) Google folds computer use into Gemini 3.5 Flash Google added “computer use” as a native tool in Gemini 3.5 Flash, so agents no longer need a separate model. Agents using the Gemini API can see, reason, and act across browsers, mobile, and desktops. Enterprise safeguards include required user confirmation for sensitive actions, automatic task-stopping on suspected indirect prompt injection, and adversarial training to reduce risk. 2) Researchers document agentic ransomware JadePuffer Sysdig reports an LLM-coordinated ransomware campaign named JadePuffer. The attacker automation wasn’t novel, but the AI’s orchestration and automated ransom note lowered the skill floor. The agent hunted A‑I API logins, cloud credentials, crypto wallets, and database keys, and left human-readable comments in code that helped attribution. 3) Utah pilots automated prescription refills with Doctronic — doctors push back A Utah regulatory sandbox lets residents request refills via an AI chatbot called Doctronic; clinicians currently review orders but the company plans full automation. The sandbox relaxes some rules and is overseen by a five-member AI board with no doctors. The state medical board has asked for a halt over safety risks (notably blood thinner interactions); the FDA is taking a hands-off stance for now. 4) Big tech softens on the “jobs wipeout” narrative Industry leaders have moderated predictions of mass job loss. Sam Altman said people remain central; Dario Amodei highlights more positive outcomes while noting risks. An EY-Parthenon survey found CEOs expecting large AI-driven head-count cuts dropped from about 46% (Jan last year) to about 20% (May this year). Stay curious, stay skeptical. LinkedIn version: Google embeds “computer use” into Gemini 3.5 Flash so agents can see, reason, and act across browsers/devices with built-in consent and injection defenses. Sysdig reveals agentic ransomware “JadePuffer” that automated credential and wallet theft. Utah’s Doctronic pilot for AI refills raises clinician safety concerns. Big tech dials down “jobs wipeout” forecasts. Which development worries or excites you most? Comment or ask below. #AI #Security #HealthTech #Regulation #FutureOfWork

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AMP (formerly the A‑I Exchange) runs free Playbooking Method masterclass in three hours — 90‑minute session, last chance to register

Playbooking masterclass — starts in three hours AMP (formerly the A‑I Exchange) is running a free, live Playbooking Method masterclass today. Ninety minutes of hands‑on, repeatable techniques to change how teams work with AI: practical workflows, templates, and immediate examples instead of buzzwords. AMP’s rebrand emphasizes practical AI adoption. This is a last reminder to register for the free session or at least set a calendar reminder for the live Q&A. LinkedIn version: Three hours until AMP’s free 90‑minute Playbooking Method masterclass (AMP = formerly A‑I Exchange). Expect hands‑on, repeatable workflows, templates and live Q&A — not buzzwords. Can a tight 90‑minute session shift how your team uses AI? Last chance to register or set a reminder. Share your view: bite‑sized training — effective or too brief? #AI #AIdoption #ProdMgmt #AMP