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| | Latest in AI | | Trump names Clayton AI czar | 🚨 Our Report | President Trump has appointed Director of National Intelligence Jay Clayton to lead a new federal AI task force called the Super Intelligence Force, making him the administration's second AI czar with a 120-day deadline to deliver a report on AI risks and opportunities. | 🔓 Key Points | The task force reports directly to Trump and includes FTC Chairman Andrew Ferguson, OPM Director Scott Kupor, and Pentagon CTO Emil Michael as vice chairs, with VP JD Vance, Defense Secretary Pete Hegseth, and Treasury Secretary Scott Bessent also serving. Clayton rejected industry calls for a coordinated slowdown on AI development, telling CNBC that "the risk of not being first is high" and dismissing slowdown proposals as a bad strategy for Americans. The group must develop plans for responding to AI-enabled threats while preventing overregulation and regulatory capture that would stifle innovation, following Trump's recent executive order renaming AI to "super intelligence" in federal correspondence.
| 🔐 Relevance | This signals the administration's intent to accelerate AI development over safety concerns, directly contradicting recent slowdown proposals from Anthropic's Dario Amodei backed by Sam Altman and Elon Musk. For enterprise AI buyers, the 120-day timeline means potential policy shifts on security breach disclosure and federal AI procurement could arrive by early 2027. The task force's mandate to prevent "regulatory capture" suggests looser compliance requirements may follow. | |
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| | | THE DEPLOYMENT REPORT
Sponsored by Agentic Brain, see how they're automating deployment → | Perk's SDRs lost hours daily to manual prospect research. Here's how AI drove 60% of their North American pipeline. | | Steal this: Time your SDRs' prospect research this week. If they're spending more than 30 minutes per day on lead identification before first touch, that's automation territory. Map the exact criteria they use to qualify prospects, then evaluate whether an AI agent can run that logic continuously while reps focus on conversations. | See the full breakdown → | Would you trust AI to shortlist candidates for you? | |
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| | Apple will flag AI agents that request full Mac data access after Meta's Muse drew user complaints | Apple announced changes to macOS that will require explicit user action before AI agents can access all data on a Mac. The move follows criticism of Meta's Muse AI agent, which some users claimed read private messages without clear consent. Meta disputed those claims, saying Muse requires users to enable both Full Disk Access and a Messages connector before it can read message content. | Apple said some developers were using the Full Disk Access feature in ways that could put users at risk. The company plans to add controls ensuring users can only grant this level of access through deliberate, unmistakable actions. | Why it matters: As AI agents gain autonomy to execute complex tasks across apps and files, the gap between user expectations and actual data access is becoming a liability. Apple's intervention signals that platform-level guardrails for agentic AI are now a competitive priority. | See the details → |
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| | THE MONEY | Two of the largest AI rounds this week bypassed foundation models entirely. Capital is flowing to companies solving hardware constraints for the next generation of AI systems, from memory bottlenecks limiting inference speed to the universal compute layer needed to run humanoid robots at scale. | Deals to know: | Volantis (Series A, $88M) -- Photonic memory architecture designed to run 20T+ parameter models at 10,000 tokens per second. First integrated inference engines shipping 2027. Investors: Lachy Groom, Abstract Ventures, John Doerr, VXI Capital FieldAI (Series C, $700M at $10B valuation) -- Universal robot brain for humanoids, drones, and industrial rovers. Revenue plus contracts crossed $135M across 30+ customers. Investors: Jeff Bezos family office, Emerson Collective, Khosla Ventures
| Signal: Smart money sees AI's next constraint isn't model quality. It's the physical infrastructure to run massive models fast and deploy them in the real world. | | EXECUTIVE AI ROLES | Agentic AI Lead @ Infovision Inc: Bridge gap between AI research and practical business applications. Apply → AI Transformation Lead @ Tata Consultancy: Lead and accelerate internal AI transformation initiatives. Apply → AI / ML Lead @ Accenture Federal Services: Lead the implementation of AI. Apply →
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| | AI NEWS | 🎙️ Mike Flynn, who leads EY's technology sector, joins Liam to discuss why companies must redesign workflows around AI rather than bolt it on, covering EY's "Design for Zero" approach and the shift to usage-based AI pricing. WATCH HERE | | 🔌 POLICY: NYC agencies warn that AI and algorithmic tools cannot shield companies from consumer, worker, and discrimination law violations, with enforcement now active across hiring, housing, gig work, and public services. LEARN MORE | | 💰 ECON NEWS: Data centers now consume 4.4% of U.S. electricity, with AI searches using 10x more power than standard queries; New Jersey ratepayers face 20% bill increases. FULL STORY | | 💻 MEDIA NEWS: California man arrested for allegedly smuggling $300M in Nvidia AI servers to China through Malaysia and Singapore re-exports, DOJ charges. FULL STORY | | 🛡️ SECURITY NEWS: South Korean utility KEPCO suffers employee data breach exposing personal information of all staff; company confirms customer data remains secure. FULL STORY |
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| | The people have spoken, and yesterday’s results are in: | | Check out the story for the full scoop! |
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| | Refer a Friend | | Latest episode: The 7 Things Enterprises Want From AI Vendors → Listen here
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