Trump's Super Intelligence Force explained: big name, borrowed powers

Today in AI: 12 things that happened

1. Policy

   Trump formally launches Super Intelligence Force; Musk says SpaceXAI will become SpaceXSI

   President Trump announced "the formation of the Super Intelligence Force (SIF)" in a Truth Social post on Sunday 4 October, CBS News reports, making official the task force that the Wall Street Journal described a day earlier. The post says the group is "tasked with coordinating the effort of the Federal Government to ensure that America continues to lead the World in Super Intelligence"; it reports to Trump and White House chief of staff Susie Wiles and will coordinate federal engagement with consumers, public-interest groups, religious organisations, critical infrastructure providers and AI companies. Director of National Intelligence Jay Clayton chairs it, with FTC chair Andrew Ferguson, Pentagon technology chief Emil Michael and Office of Personnel Management director Scott Kupor as vice chairs. TechCrunch says it is directed to plan for "SI-enabled threats to our society, while preventing overregulation" and has 120 days to report on AI's risks and opportunities, a deadline first reported by the Journal. The administration's use of "super intelligence" for AI in general follows an executive order signed last week; Elon Musk said on X on Sunday that his company SpaceXAI will be renamed SpaceXSI ("Yes, we will make that change"), though Forbes noted that the company's website still carried the old name that morning.

   Why it matters: Yesterday this was a newspaper report; now it is official, with a stated mission that pairs handling AI-enabled threats with avoiding overregulation. Straight Arrow News notes that no new legal guardrails accompany it, and The Decoder points out that the administration's "super intelligence" is a label for AI generally, not the research term for systems that surpass humans.

   CBS News · TechCrunch · Engadget · Forbes via Yahoo Tech · Straight Arrow News · The Decoder

2. Policy

   Altman says 'a lot of daylight' separates OpenAI from Anthropic on acceptable AI risk

   In an interview published by Politico on 4 October to launch its Decoded newsletter, OpenAI chief executive Sam Altman was asked where he diverges from Anthropic and its chief executive Dario Amodei, and replied: "I think there's a lot of daylight." OpenAI believes "the world should accept some bad things happening for the benefits of this technology", he said, adding that he would not trade those benefits for a guarantee of no major hacks, misuse or scams, because people will do "orders of magnitude more" good than bad. The exceptions he named are "the really catastrophic risks", such as "a serious loss of control to AI". Politico notes that OpenAI has nonetheless recently endorsed stricter state safety laws and backed a bipartisan House proposal for outside safety evaluators, and that Altman agreed with Amodei's call last month to slow the development of the most advanced models. Asked to respond, an Anthropic spokesperson told Politico that its "regulatory proposals apply only to frontier models"; the company also pointed to an August social media exchange in which Amodei said it tries to make proposals that slow frontier AI companies while advantaging smaller competitors.

   Why it matters: The two labs now back several of the same measures, including a slowdown, yet their chiefs still describe the acceptable level of everyday harm differently. Anyone writing AI rules now has two accounts of acceptable risk from two of the leading developers.

   Politico via Yahoo News · SiliconANGLE

3. Safety

   Wired: extracted instructions tell Meta's Muse to keep a page on everyone in a user's life

   Internal instructions extracted from Muse, Meta's AI agent, tell it to keep "a page for every person in the user's life", Wired reported on 3 October. According to Implicator's account of the story, independent AI safety researcher Karan Joshi obtained the instructions through ordinary chat with the agent. Social Media Today says the pages are compiled in an hourly process covering family, partners, friends, colleagues and people the user follows, and record details such as where people live, what they do and "dates that matter" like birthdays. Meta says public and user-shared information supplies the context, Implicator reports. The outlet adds that the instructions show intended behaviour, not finished profiles of every contact, and that Meta's planned "Confidential VM" protection, meant to stop the company itself from reading this data, is still described as arriving later in 2026.

   Why it matters: The people being profiled, a user's friends, relatives and colleagues, have not been asked. An assistant that is useful because it remembers everyone around you raises consent questions that app permissions, which only the user grants, do not answer.

   Wired · Implicator · Social Media Today

4. Safety

   File-server flaw found with Anthropic's Mythos came under attack a day after disclosure

   On Wednesday 30 September, researcher Zach Hanley of the penetration-testing company Horizon3 said he had used Mythos, Anthropic's restricted-access model, to find CVE-2026-61500, a flaw in the Rejetto HTTP File Server that lets an attacker bypass the login, gain full admin access and run code, The Register reported on 3 October. The server signed its session cookies with a key generated by a random-number function whose outputs it leaked and whose algorithm can be run backwards, so an attacker can recover the key and forge a valid cookie. By Thursday evening the security firm VulnCheck was detecting exploitation, which its researcher Patrick Garrity described as "an actor in China targeting real vulnerable hosts in the US"; he told The Register of four more hits on Friday. Citing Garrity's tracker, The Register counts 286 CVEs, the standard identifiers for security flaws, credited to Mythos and Anthropic's Project Glasswing as of Friday, and says that until Thursday only one had been exploited in real-world attacks. The fix is version 3.2.1 or later.

   Why it matters: AI models are now finding real, exploitable bugs in volume, and here the gap between a public write-up and the first attack was about a day. Defenders benefit from the discovery only if they patch faster than attackers read.

   The Register

5. Safety

   Google freezes open-source bug bounty reports after a flood of invalid AI submissions

   Google has stopped accepting product vulnerability reports under its Open Source Software Vulnerability Reward Program, which pays researchers who find security flaws in the company's open-source projects, with effect from 1 October. The company cited "a significant rise in automated submissions, the vast majority of which are not valid", TechCrunch reported on 4 October, and promised an update in the first quarter of 2027. According to Tom's Hardware, supply-chain reports are still accepted, submissions made before 1 October are unaffected, and Google says it may still accept product reports for some Google Cloud repositories through its separate Cloud programme. The outlet says engineers were reportedly swamped by AI-generated reports, many describing bugs that did not exist. It adds that Intel has also suspended its bug bounty programme, though Intel has not confirmed that AI-generated reports were the reason.

   Why it matters: Read beside the Mythos item, this is the other half of AI's effect on security: capable models find real flaws, while cheap automated reports bury the people who must check them. Bug bounties rely on a human reading every submission, and that is where the cost now lands.

   TechCrunch · Tom's Hardware via Yahoo Tech

6. Open source

   Axios: Reflection AI's first open-weight model is close, with other Western releases due

   Reflection AI, a US startup backed by Nvidia, is preparing to release its first open-weight model, meaning one whose trained parameters anyone can download and run, Axios reported on 4 October, citing unnamed sources. The model is "set to be released soon" and is "expected to initially lag behind the most cutting-edge U.S. models and be competitive with top Chinese open-weight models", Axios says. It adds that the model will be joined this month by open-weight models from other Western developers, which it does not name, and that Reflection recently signed large deals with Nebius and SpaceX to rent Nvidia AI servers. A Reflection spokesperson declined to comment.

   Why it matters: Axios frames the release as a new, cheaper American alternative to Anthropic, OpenAI and Google, and says leading Western business and government users balk at capable Chinese models because of security risks. Europe's most recent entry is covered in Aleph Alpha's Kolibri explained.

   Axios via Yahoo Finance

7. Business

   Asia is among the regions most exposed to an AI market correction, AMRO report warns

   The ASEAN+3 Macroeconomic Research Office (AMRO), which monitors the economies of Southeast Asia, China, Japan and South Korea, published its Financial Stability Report 2026 on Monday 5 October. Its press release warns that "a sharp repricing of AI-related assets could trigger broader market corrections, forced deleveraging and tighter credit conditions" and says the growth outlook is "particularly sensitive to AI-related demand". Bloomberg's account says the region supplied two-thirds of the growth in global AI-related trade, and that the report points to South Korea's AI-heavy stock market, Malaysia's chip assembly, and Japanese and Hong Kong markets that move closely with US technology shares. It also flags rising leverage in data-centre funding and the opacity of private credit markets.

   Why it matters: Much of the hardware for the AI build-out is made in Asia, so a fall in AI spending or share prices would hit the region's exporters, stock markets and lenders together. The warning comes from an official regional body, not from market commentators.

   AMRO · AMRO · Bloomberg via Free Malaysia Today

8. Products

   Google to limit free Gemini users to Flash-Lite from 9 October; $4.99 plan loses Pro

   From 9 October, people using the Gemini app without a subscription will be limited to Flash-Lite, the least capable of the app's three model tiers, and will lose access to the Flash and Pro models, 9to5Google reported on 3 October, citing an updated Google support document. Subscribers to AI Plus, at $4.99 a month, keep Flash-Lite and Flash but lose Pro, and will be notified by email. Pro stays available on AI Pro at $19.99 a month and on the AI Ultra plans at $99.99 and $199.99. Neither 9to5Google nor The Decoder cites a reason from Google for the change.

   Why it matters: Google is reserving its Pro model for people who pay at least $19.99 a month. The Decoder suggests Google may be preparing for the larger Gemini 4 Argon, which could be costlier to run; background is in Gemini 4 Argon explained.

   9to5Google · The Decoder

9. Business

   Anthropic's stock match of staff charity gifts topped $660M in six months, report says

   Anthropic matches its employees' charitable donations with company stock, and that match cost more than $660 million in the six months to March, The Information reported on 4 October, citing sources (headline via Techmeme). The outlet says the bill is likely to reach billions of dollars after the company's planned stock-market listing and that it dilutes other shareholders. According to AI Weekly's summary of the paywalled article, the figures come from investors who had seen the company's IPO numbers, the charge is a non-cash expense, the first quarter of 2026 accounted for about $125 million of it, roughly 10% of employee expenses, and Anthropic leaves it out of its adjusted profit figure.

   Why it matters: Anthropic plans to go public as soon as mid-November, Bloomberg has reported, a timetable the company has not confirmed. That puts a spotlight on costs its preferred profit measure leaves out; this one stems from the giving habits of its own staff.

   The Information · The Information via Techmeme · AI Weekly · Investing.com via Yahoo Finance

10. Open source

    Developers say open-source Strata engine runs a 125-billion-parameter Qwen model on a 12GB gaming GPU

    Strata, an inference engine (software that runs a trained model) released under the MIT licence, drew more than 650 points on Hacker News on 4 October with its claim to run Qwen3.8-Flash-Next, a 125-billion-parameter open-weight model, on a single consumer graphics card with 12GB of memory. The model is a mixture of experts: according to the project's README it contains 24,576 small "experts" and each word needs only 10 of them, so Strata keeps the most frequently used experts on the graphics card and holds the full set in ordinary RAM, where the processor handles the rest. A small helper model also guesses the next few words for the main model to check, which the README says delivers the same answer 1.6 to 1.8 times sooner. The headline speed, 94 tokens per second on an RTX 5070 with 64GB of RAM, is the developers' own measurement, not independently verified, and applies to a compressed (quantised) version of the model; compression of this kind usually costs some accuracy.

    Why it matters: Models of this size normally need server hardware with far more memory. If the developers' numbers hold up under independent testing, more capable models can be run privately on a desktop PC.

    GitHub · Hacker News

11. Policy

    YouTube creators back #TeamHuman petition calling for a global AI slowdown

    A group of YouTube creators is promoting Team Human, a petition whose statement reads: "AI is moving faster than our ability to control it. Alongside a chorus of experts, we call for a global slowdown through international agreements." The site, promoted in recent days with a YouTube Short on the Robert Miles AI Safety channel, says creators with more than 300 million subscribers have signed on; it lists Mark Rober (83.1 million) and Kurzgesagt (25.6 million) among them and names Mario Joos, Oliver Gilpin and Drew Spartz as founding creators. It asks governments to "build the brakes" by tracking advanced AI chips and to "enforce a speed limit" through an agreement among the US, China and other major nations. The site says the campaign is supported by the Center for AI Safety, which will deliver the signatures to lawmakers in Washington and Brussels this autumn.

    Why it matters: Calls to slow AI development have mostly come from researchers and, lately, some lab chiefs. This one comes from entertainers with very large audiences, a test of whether the argument reaches beyond the industry.

    Team Human · YouTube

12. Safety

    North Korea claims a hypersonic missile it launched uses AI to change course; claim unverified

    North Korean state media reported on 4 October that Kim Jong Un had overseen the launch a day earlier of a missile that allegedly uses artificial intelligence to adjust its trajectory, AFP reported. Kim's sister had said the technology makes the missile "capable of changing its flight orbit at a low altitude", which she said left "no way to avoid" an attack. The launch, from the Wonsan area on the east coast, was described as training for soldiers operating a "hypersonic strategic weapon system"; South Korea's military said the missile flew more than 700 kilometres. The AI claim comes only from North Korea, and AFP's report carries no independent confirmation of it.

    Why it matters: Whether or not it is true, "AI-guided" is now part of how states advertise weapons, and outsiders have little means of checking such claims.

    AFP via The Star

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