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Federal Trade Commission

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Headlines · 6

  1. Essay: when AI agents compete, a 'local loyalty paradox' hollows out markets

    TMTPost published a commissioned commentary by 观潮 arguing that when every party deploys AI agents to bid, apply for jobs and negotiate, competition's three functions — discovering prices, selecting the better party and keeping entry channels open — can be emptied out without anyone exceeding their mandate or acting in bad faith, a pattern he calls the "local loyalty paradox." The essay draws on the FTC complaint's allegations about Amazon's "Project Nessie" pricing algorithm (allegations, not court findings), simulations in which Q-learning agents learned to sustain prices above competitive levels, a Freelancer.com study finding that after an AI cover-letter tool launched, cover-letter fit's correlation with callbacks fell about 51% and with hiring about 79%, and a small Anthropic experiment in which 69 employees traded via Claude agents — stronger-model agents closed about two more deals and sold the same item $3.64 higher on average. The author notes these are mostly simulation or small-sample results and cannot be read as measurements of the real economy.

    钛媒体 · 🔥 8
  2. FTC subpoenas OpenAI and Anthropic over AI safety incidents and consumer harm

    The US Federal Trade Commission has sent civil investigative demands to OpenAI and Anthropic seeking documents on recent AI safety incidents, safeguarding practices, marketing materials and privacy policies. According to Axios, citing a person familiar with the matter, each demand runs more than 50 pages and the probe focuses on potential consumer protection violations; an FTC spokesperson confirmed the subpoenas to CBS News and declined further comment. Reports say the FTC also plans to seek testimony from top executives at both companies and to send demands to third-party AI organizations later; OpenAI said it will cooperate, while no Anthropic statement appeared in the reports.

    Engadget AI · 🔥 3
  3. White House 'Super Intelligence Force' warns AI firms to disclose model safety incidents

    A new White House working group, the Super Intelligence Force, warned AI developers that they must immediately disclose and remediate safety incidents involving their models or face consequences; the statement followed an Anthropic disclosure of a safety incident. Chaired by Director of National Intelligence Jay Clayton and running for 120 days, the group will work with the Justice Department, the Federal Trade Commission and the Securities and Exchange Commission to check companies' recent AI commitments, assess risks and ensure the government has resources to respond to model failures. Treasury Secretary Scott Bessent and former White House AI chief David Sacks back using existing liability law rather than new regulation to hold developers accountable, and President Trump said the Justice Department should step in when models go out of control, though legal experts question whether current product-liability and cybersecurity law can establish who is responsible for harm caused by rogue AI agents.

    cnBeta · 🔥 0
  4. This Week in AI: more capability, more responsibility

    O'Reilly's This Week in AI roundup says AI systems are gaining autonomy faster than oversight is settling: the Trump administration announced a voluntary, non-binding agreement with major AI companies covering internal safety monitoring, external audits and independent board reviews, while the FTC opened an investigation into OpenAI, Anthropic and others over consumer risks. On the technical side, OpenAI released Dots, a proactive assistant that retains context, works across apps and pursues multiple goals without prompts, and Google says Gemini 4 Argon can generate up to a million output tokens in a single response; world-model work includes AMD-acquired World Labs, Worldmodeldata's licence for nearly 1 million hours of gameplay video paired with player actions, and Physis-Lang from NVIDIA, MIT and Oxford researchers. In applied use, Anthropic's Claude is helping Ebola outbreak response teams in the DRC organize daily reports, compare forecasting models and analyze genomic information, while a Mayo Clinic model identifies patterns linked to elevated pancreatic cancer risk years before diagnosis.

    O’Reilly Radar · 🔥 0
  5. Trump taps intelligence chief Jay Clayton to lead 'Super Intelligence Force'

    US President Donald Trump has named Director of National Intelligence Jay Clayton to head a new "Super Intelligence Force," which Trump said will coordinate federal engagement with consumers, public-interest groups, religious organizations, critical infrastructure providers and "Super Intelligence Companies," reporting directly to him and White House Chief of Staff Susie Wiles. FTC chair Andrew Ferguson and Emil Michael, undersecretary of defense for research and engineering, are also on the taskforce. The announcement follows a late-September executive order directing agencies to use "SI" and "Super Intelligence" instead of "AI" in official communications; Elon Musk then said SpaceXAI would be renamed SpaceXSI. Senator Elizabeth Warren and others have criticized the body as a substitute for actual regulation.

    BBC Technology · 🔥 0
  6. Trump Names Jay Clayton to Lead New ‘Super Intelligence Force’

    President Donald Trump announced the creation of a federal “Super Intelligence Force” and appointed Director of National Intelligence Jay Clayton to lead it. The task force is expected to assess AI’s risks and opportunities within 120 days and recommend the federal government’s role, while coordinating with AI companies, consumers, public-interest groups and critical-infrastructure providers.

    Engadget AI · 🔥 0

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