AI News

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AstroForge Puts AI in Command: A Bold Zero-Command Flight

AstroForge announced Autonomy-1 on 21 September 2026: a spacecraft that will receive no commands from Earth after separating from its launch vehicle. The system flying it is Solo, a transformer-based intelligence layer sitting above conventional flight software and subsystem models, trained on roughly 2,500 spacecraft sensors. Mission operations account for nearly a third of AstroForge’s mission costs, and a private ground network would cost around $200 million. This article covers the stack, the shadow-mode test on DeepSpace-2, the Stoke Space launch, the company’s three incomplete missions and where the argument is weakest.

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Rabbit OS3: A Powerful AI Agent App With No Monthly Fee

Rabbit shipped OS3 on 22 September 2026, and it inverts the company’s founding thesis. The agent that was supposed to need the orange r1 handset now runs across Windows, Mac and Linux machines, reaches you through a browser, Telegram or iMessage, and charges no monthly fee because you supply the model key yourself. One account drives up to five devices from a single continuous thread with persistent memory. This article covers the architecture, the pricing shift, the r1 engagement numbers that explain the pivot, and the three commercial doubts that remain.

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Super Intelligence: Trump’s Bold AI Rename and Real Risk

President Trump told the United Nations General Assembly on 22 September 2026 that the United States will call artificial intelligence “super intelligence” from now on, and the White House published the line with the word hereinafter attached. The same sentence rejects any “globalist scheme of control” over these systems. This article sets out the exact wording, the capability ladder the rename flattens, which documents a presidential rename can and cannot reach, and why the rejection of pooled international assessment is the part with measurable consequences.

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California Tightens Rules on AI Data Center Energy and Water Use

Governor Newsom signed seven data centre bills on 21 September 2026, covering electricity reporting, water disclosure under penalty of perjury, cost causation for grid and water upgrades, and the removal of CEQA categorical exemptions. Read as enacted, the package carries a 10 megawatt reporting floor, a 25 megawatt cap on the tariff threshold, binding deadlines in 2028 and a first published load assessment in 2029. SB 887 also creates a fast track with eleven conditions, including hourly zero-carbon matching within five years. This article goes through all seven statutes and the numbers inside them.

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With Tabby, a Former Accountant Is Using AI to Make Accountants Obsolete

TechCrunch profiled Tabby on 21 September 2026 as the AI bookkeeping startup built by a New York CPA to automate his own profession away. The company reports 5,500 businesses, roughly $100,000 in annual recurring revenue and a team of seven. Its own website advertises a separate product for accounting firms at $15 per client per month, a free firm licence, a referral commission and 100+ firms already signed up. This article divides the reported numbers, reads the vendor pages against the headline, and sets out what bookkeeping automation genuinely replaces.

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OpenAI Forms Math Advisory Group as Its AI Resolves More Than 100 Open Problems

OpenAI announced on 21 September 2026 that an internal model has resolved more than 100 long-standing open mathematical problems, and that an independent advisory group hosted at the Institute for Advanced Study will now advise on how such results are assessed and released. Ten days earlier, Fields Medallists published a declaration calling the goals of AI companies and mathematicians “severely misaligned.” This article checks both name lists, sets out the compute figures OpenAI published for the Navier-Stokes proof, and identifies the one thing the advisory group is explicitly forbidden from advising on.

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Anthropic Rebrands Workbench as Playground for Claude API Testing

Anthropic retired the legacy Workbench on 17 August 2026 and shipped Playground the next day. The replacement is stateless: no saved prompts, no version history, no variables, no evals and no sharing, with nothing stored on Anthropic’s servers. In exchange it supports every Messages API parameter, ships templates for server-side features such as code execution and web search, shows the full SDK request alongside the response for every run, and exports to code. Three experimental prompt endpoints were retired alongside it, and the export window for Workbench data closed permanently on 1 September 2026.

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Amazon Bars Meta’s Muse AI From Shopping on Its Site

Amazon has cut Meta’s twelve-day-old Muse agent off from shopping on Amazon.com, serving users a popup that cites its Conditions of Use rather than accusing anyone of hacking. That wording is deliberate: on 4 August 2026 the Ninth Circuit ruled in the Perplexity Comet case that the user, not the AI company, is the party accessing a retailer’s computers, and denied rehearing on 10 September. This article covers Amazon’s stated objections, how Muse actually reaches a site with no agent API, the litigation timeline, the $68 billion advertising business at stake, and how Amazon’s own Buy for Me feature differs.

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Apple Home Hub Device Built Around Siri AI May Be Almost Ready

Bloomberg’s Mark Gurman reports that Apple’s long-delayed smart display, codenamed J490, is now in widespread testing in employees’ homes and could be introduced as early as October 2026. It carries a squarish seven-inch screen on a half-HomePod-mini base or a magnetic wall mount, a camera that recognises who is looking at it, and a new operating system built on tvOS foundations and organised around Siri AI. Two refreshed companions, an Apple TV and a HomePod mini, are reported to arrive with it, and a 2027 in-home security system tied to a monitoring service sits behind them. This article separates what is reported from what Apple has confirmed.

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AI Might Be Making Women Sound Bad at Work

Johns Hopkins researchers took 427 real workplace writing prompts, rewrote each into a women-associated and a men-associated version, and ran both through GPT-4, Llama, Mistral and Gemma. Every model returned shorter, plainer, less formal documents for the women-coded phrasing. Adding a male or female sign-off name changed nothing. Linear probes decode the linguistic register at 0.988 accuracy by layer 5 while name gender reaches only 0.717, and activation patching puts the causal weight in layers 0 to 7. This article covers the method, the per-model results, the two controls that rule out mirroring, and why the authors say users cannot fix it themselves.

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