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Only Opinion#Policy / regulation
November 13Friday
  1. a16z News58

    Anne Neuberger outlines a national cyber defense plan for the superintelligence era

    Anne Neuberger, a16z general partner and former US Deputy National Security Advisor for Cyber and Emerging Threats, proposes a public-private plan to defend critical infrastructure against AI-speed attacks, published in the Wall Street Journal and summarized by a16z. The plan targets five sectors (power, banking and payments, water, communications, hospitals) and the few hundred operators and shared vendors whose failure would cascade nationally, with goals including zero internet-exposed control systems, 72-hour manual-operation drills and critical vulnerabilities contained within a set time. It would run through a CEO council accountable to the White House's Super Intelligence Force, with sector ISACs delivering AI-enabled scanning, fixes and monthly scorecards, plus legal protections for information sharing and liability.

November 9Monday
  1. Gary Marcus · The Road to AI We Can Trust18

    Jensen Huang's China Chip Stance Under Fire

    Gary Marcus argues that Jensen Huang's repeated defense of China's right to buy Nvidia chips, not the photos and video circulating of him with Alice Huang, is what will ultimately damage him. Marcus says Huang has come across as "practically a lobbyist for China" in a slew of recent interviews.

November 8Sunday
  1. ChinaTalk58

    Why the AI-era cyberpocalypse may hit China harder

    Chang Che argues that AI has shifted cybersecurity from an era of zero-day scarcity to zero-day abundance, and that China's top-down system is poorly suited to the fast, decentralized patching this requires. One week after the PHP zero-day was disclosed, the US had patched over a quarter of the 14 million exposed services while China had patched 4%, per Censys data. Che traces this to China's 2021 law barring researchers from publicizing or selling zero-days abroad, which cut the incentives behind Western bug bounty ecosystems, and to Nicole Perlroth's view that AI models make hoarded exploits obsolete, spelling the death of NOBUS.

November 6Friday
  1. Newcomer38

    The Blue Tsunami Is a Victory for Democracy — and a Wake-Up Call for Silicon Valley

    Democrats' midterm sweep is being read as a wake-up call for Silicon Valley, with AI infrastructure and chip stocks sliding as investors price in slower data center buildouts. Texas governor-elect Gina Hinojosa made data center opposition and Elon Musk central to her campaign, and new comptroller Sarah Eckhardt will review JETI subsidy applications. Tesla and SpaceX shares fell 11% and 9% on Thursday.

  2. Exponential View40

    Don't Waste a Good Backlash: Turning Data Center Revolts into Community Deals

    After Democrats won the midterms, over $2.5 trillion was wiped off the Nasdaq as investors fled the AI trade, and US voters passed 43 of 44 local measures to slow data centers down. The Lanarkshire deal, where DataVita pays up to $100,000 per megawatt per year into a community fund, shows how grid-queue leverage can be turned into local benefits. Oracle's New Mexico package worked out to a one-off $84,000 per megawatt, nearly 18 times stingier.

  3. Platformer36

    The AI backlash needs a plan

    US voters punished Republicans over data centers and AI accelerationism, with bans or restrictions passed in at least 38 jurisdictions and pro-AI super PACs largely failing. Platformer argues that regulating AI cannot follow the social media playbook, which produced no comprehensive privacy law, no Section 230 reform and no new antitrust legislation despite years of hearings.

November 3Tuesday
  1. MIT Technology Review · AI58

    Who Is Falling in Line for Trump's Super Intelligence Loyalty Test

    One month after Trump signed an executive order rebranding artificial intelligence as Super Intelligence, the term has quietly replaced AI on most government websites and appears in solicitations such as an ICE request for SI-powered surveillance, though the Pentagon, FTC and HHS have slipped back to the old wording. Among tech leaders who signed the White House Accord on Super Intelligence, CNBC found only Zuckerberg and Musk used the term consistently on third-quarter earnings calls, while Amazon, Microsoft and Alphabet executives said AI. The author argues the real risk is that the rebrand turns a choice of words into a partisan loyalty test, undermining a national conversation about AI that is only just beginning.

October 30Friday
  1. Newcomer22

    Big Tech’s Risky Bet on Trump and the GOP Is Not Looking Like a Winner

    Tech leaders including Elon Musk, Marc Andreessen and Ben Horowitz have poured unprecedented sums into Republican politics, with Musk alone spending almost half-a-billion dollars in the midterms. Those bets are looking far less promising as Trump’s approval ratings sink and opposition to AI becomes a major campaign issue. Investors wanting to bet on politics would be better off sticking with Kalshi.

October 28Wednesday
  1. Platformer20

    The AI Election That Wasn't: How AI Failed to Disrupt the Midterms

    Despite widespread fears of deepfakes and AI-driven disinformation, the 2026 midterms saw no major AI disruption, Platformer reports. Frontier labs set up election war rooms reviving an old playbook for the deepfake era, but it remains unclear whether the effort worked. The piece also examines the Democrats' mandate to rein in frontier labs and data centers, and AI search's toll on Google and Reddit traffic.

October 17Saturday
  1. Ed Zitron · Where's Your Ed At34

    Venture Capital Is Killing Itself

    Ed Zitron argues that the 2012 JOBS Act let tech companies and venture capitalists legally exploit retail investors by removing the 500-shareholder reporting trigger, letting startups stay private far longer. That change, he writes, produced one of the largest private valuation bubbles in history, with valuations now set by VC whim rather than market forces.

October 2Friday
  1. AI as Normal Technology26

    A big-tent or small-tent AI safety movement?

    The essay argues that AI existential-risk warnings may be sincere but wrong, a third possibility it says is rarely considered alongside the "real and imminent" and "insincere psyop" narratives. It contends that policymakers drastically underinvest in resilience against catastrophic and systemic risks, citing pandemic preparedness and cybersecurity as evidence, and that AI mainly amplifies existing risks rather than creating a distinct alignment problem.

September 28Monday
  1. AI as Normal Technology31

    AI existential risk probabilities are still too unreliable to inform policy

    Two researchers argue that current estimates of AI existential risk remain too unreliable to inform public policy, republishing their earlier deconstruction of p(doom) as such rhetoric drives unprecedented policy attention. They contend that unlike most quantitative forecasts, these probabilities rest on no validated model or method, and that inductive, deductive and subjective approaches all fail for AI x-risk.

September 21Monday
  1. Import AI22

    Import AI 473: RAND's US superintelligence strategy, human brain tissue in mice, and machine hermeneutics

    RAND published a paper arguing the US should adopt a "Freedom of Action" strategy to preserve options on the uncertain path to superintelligence, built on four pillars including a human-AI ecosystem and an AI-security architecture. The paper lays out seven archetypal strategies across coexistence, denial, and acceleration, and identifies five key uncertainties such as danger proximity and coexistence feasibility. Separately, researchers grew chunks of human-like brain tissue inside baby mice with depleted mouse brains.