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OpenAI announces AI-powered hiring platform to take on LinkedIn

Can 80,000 AI Cameras (And New Drones) Make Crime Disappear?

In today’s email:

  • 🩺 Doctors develop AI stethoscope that can detect major heart conditions in 15 seconds

  • ☠️ A Troubled Man, His Chatbot, and a Murder-Suicide in Old Greenwich

  • 📦 Marines managed to get past an AI-powered camera “undetected” thanks to hiding in boxes

  • 🧰 11 new AI-powered tools and resources. Make sure to check the online version for the full list of tools.

Top News

Key Takeaway: OpenAI is building an AI-matched hiring marketplace and rolling out AI fluency certifications, partnering with employers like Walmart, to connect talent with demand while upskilling millions.

More Insights:

  • Launch plan: “OpenAI Jobs Platform” targeted for mid-2026; designed to match candidates to employers using AI.

  • Dual track: Dedicated pathways for small businesses and local governments, not just big tech.

  • Certifications: “OpenAI Academy” to pilot late 2025; goal to certify 10M Americans by 2030, with Walmart as a partner.

  • Competitive angle: Directly challenges LinkedIn (owned by Microsoft, also OpenAI’s major backer).

  • Policy backdrop: Announced alongside White House AI-education initiatives; senior tech leaders meeting with U.S. officials.

Why it matters: If OpenAI can verify skills and automate matching at scale, hiring shifts from keyword résumés to competency signals, compressing job searches, re-routing disrupted workers into AI-complementary roles, and potentially redefining how labor markets credential trust.

Sam Altman predicted that by 2025, AI will impact over 50% of jobs in—data, financial planning, strategic decisions and others that require specialists.
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Key Takeaway: Flock Safety is scaling a nationwide AI surveillance network, fixed cameras, gunshot detection, and soon U.S-made drones, aiming to “eradicate” most crime while igniting fierce battles over privacy, regulation, and rivals like Axon and DJI.

More Insights:

  • Scale & money: ~80,000 cameras, ~$300M in 2024 sales, 70% YoY growth, $275M March raise (a16z), ~$7.5B valuation; CEO claims the system helps solve ~1M crimes/year.

  • Product push: Beyond license-plate readers and Raven gunshot alerts, Flock is adding crash detection and launching “made-in-America” drones; “Nova” (via Lucidus acquisition) fuses police records with public data (e.g., property, SSNs, credit histories) for AI-driven search.

  • Who buys it: 5,000 law-enforcement agencies in 49 states and 1,000 corporate clients (FedEx, Lowe’s, Simon Property, HOAs, schools); some private customers share feeds with police, widening coverage.

  • Price tag: Cameras cost ~$3,000–$3,500 plus FlockOS; one example city (Dunwoody, GA) pays ~$500k/year for ~105 devices, sensors, a drone, and software access.

  • Pushback & politics: Privacy activists map and challenge deployments; vandalism occurs; Austin declined renewal; Illinois probes data-sharing; Flock tightened out-of-state sharing rules; separate antitrust-tinged showdown with Axon after it ended a partnership and launched cheaper LPRs with a free first year.

Why it matters: The future of public safety is being shaped less by slow legislation and more by fast-moving, venture-backed platforms, decisions made now about pervasive sensing, data fusion, and who controls it will redraw the boundary between protection and a privatized panopticon for decades.

Key Takeaway: Just months after investing $14.3B and tapping Scale AI’s CEO to help lead Meta Superintelligence Labs, Meta is hedging with rival data vendors as quality concerns and talent churn raise doubts about the partnership’s value.

More Insights:

  • Ruben Mayer (ex-Scale SVP) left Meta after ~2 months; he disputes parts of the reporting and says he exited for personal reasons.

  • TBD Labs is buying data from Mercor and Surge, with several researchers reportedly preferring their output over Scale’s.

  • Scale lost OpenAI and Google as customers, cut ~200 labeling roles in July, installed Jason Droege as CEO, and leaned into gov’t work (e.g., $99M U.S. Army deal).

  • Meta’s AI org is turbulent: bureaucracy complaints, a narrowed GenAI scope, and notable exits (e.g., Rishabh Agarwal, Chaya Nayak, Rohan Varma).

  • Zuckerberg is pressing forward—recruiting from OpenAI/DeepMind/Anthropic, acquiring Play AI & WaveForms, partnering with Midjourney, building massive DCs (including the $50B “Hyperion”), and targeting a new model by year-end.

Why it matters: In frontier AI, data quality and talent stability trump check size; Meta’s diversification away from Scale hints that execution and supply-chain control—not headline investments—will determine who ships the next breakthrough.

Other stuff

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Tools & LinkS
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