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President Trump signed an executive order on September 29 requiring federal executive agencies to use “Super Intelligence” (SI) in place of “Artificial Intelligence” and “AI” in official correspondence, websites, reports and policy documents.

The order covers only non-statutory documents: previously issued regulations, presidential actions, contracts and grants stay untouched. In law, SI still means exactly what “artificial intelligence” means under section 9401 of title 15, US Code — the scope has not changed.

The real follow-up is on a 60-day clock: the Assistant to the President for Science and Technology must submit proposed legislative language establishing a federal definition of Super Intelligence, including whether it should modify or supersede the existing statutory AI definition. If Congress follows, the legal definition of AI could be rewritten.

Speaking at the launch of America.gov, Trump called “super” the best word and said artificial is “like the news. Fake news.” The order creates no enforceable rights and is subject to appropriations.

In a September 10 engineering post, Shopify announced it is moving its mobile apps from React Native back to native Swift and Kotlin, saying AI coding agents have dramatically lowered the cost of building for two platforms separately.

Shopify went all-in on React Native in 2020 and as recently as January 2025 publicly committed to keep investing in it. The reversal rests on a specific mechanism: agents can implement an Android feature using the iOS version as a reference, and handle translation, testing and review, so building the same feature twice no longer means twice the work. The company says prototypes rebuilding core parts of its biggest apps worked better than expected.

The migration is a full rebuild rather than a gradual port, covering the Shopify, Shop, Point of Sale and Inbox apps. On the ecosystem side, React Native Skia will be forked and carried on by maintainer William Candillon, FlashList — downloaded roughly 2 million times a week — is seeking a new long-term steward, and Restyle will be maintained until the end of 2026, then archived.

Caveat: the migration is not finished, and the cost and benefit figures are Shopify's own. Per Pragmatic Engineer's same-day write-up, the Shop app was rebuilt natively in just 12 weeks, but that detail comes from a paywalled third-party account.

At its annual event on September 29, Robinhood unveiled Robinhood Agents, an in-app AI assistant that can monitor markets and execute trades on its own.

Each trade requires user confirmation by default, but users can switch that off and let the AI trade autonomously; the agent can only use funds moved into a separate agent account. The company warns that users bear the consequences of every trade the AI makes.

Initial models come from Anthropic and OpenAI, with one OpenAI model free for the rest of 2026. Robinhood says roughly 150,000 users have opened agent trading accounts since external agent access opened in May, but it has not yet compared their returns with those of other users.

OpenAI CEO Sam Altman said at a DevDay press Q&A on September 29 that the company will not go public until it can make confident promises about model safety, with no firm timeline in sight.

He argued that going public during a shift to very capable models, with a new kind of safety requirement, seems ill-advised because it could force OpenAI to disappoint Wall Street supporters in the name of safety. At the same time, he conceded that waiting too long to go public would be "bad for the world."

The contrast with peers is stark: Anthropic officially filed to go public in June, with its IPO reportedly expected in November, and SpaceX, which owns xAI, went public in June in the biggest IPO in history. OpenAI's path to the public market is now visibly diverging, and the thing to watch is when its safety claims meet the bar Altman himself set.

Semafor reported on September 30, citing Bloomberg, that OpenAI aims to raise $30 billion in a new funding round at a $1.4 trillion valuation; the Bloomberg report is dated September 29.

This is a reported intention, not a signed or completed deal; terms and participants are unconfirmed. OpenAI has already said it would delay its stock market debut.

Smart-ring maker Oura and SoftBank-backed SB Energy have also delayed their IPOs, and Semafor notes the year-end IPO window is cooling, pushing large AI companies toward private funding.

Anthropic's IPO filing shows revenue grew more than tenfold last year, but 80% of its decade-long compute commitments cannot be canceled.

Per SiliconANGLE, Reuters and the Financial Times published details of Anthropic's confidential S-1 filing late Monday, September 28; the document was prepared in June and has not been made public. Revenue rose from $400 million in 2024 to $4.6 billion in 2025, and per the Financial Times, sales reached $11.5 billion in the second quarter of this year alone.

The losses are equally large: a $42 billion net loss in 2025, including a $34 billion accounting charge tied to investor funding, and an $8 billion operating loss of which more than 91% went to computing infrastructure. The Financial Times reports the company is on track for an adjusted operating profit this quarter.

The bigger constraint lies ahead: Anthropic plans to spend $518 billion on computing infrastructure over the next decade, and per Reuters, 80% of that is tied to contracts that cannot be canceled or require payment even if the capacity goes unused, plus about $161.2 billion in equipment leases with Broadcom. The company reportedly aims to go public in November at a valuation of $2 trillion or more, raising up to $100 billion.

At DevDay, OpenAI disclosed that ChatGPT now has more than 1.2 billion weekly users, and its annualized revenue rate is nearing $70 billion, up about 70 percent since the start of Q3.

Growth is driven by enterprise sales, the Codex coding assistant, and an aggressive price war against Claude and Chinese models. Anthropic's rate reportedly passed $65 billion in July and may now match OpenAI's, with an IPO planned as early as November.

Whether revenue can grow fast enough to cover the massive data center bills remains the biggest open question. The figures come from Axios reporting and OpenAI's own disclosures.

Donald Trump said on September 29, at the launch event for America.gov, a new AI-powered federal government portal, that he does not want to work with China on addressing AI risks.

Per the South China Morning Post, he argued that in the superintelligence race "you're gonna have a winner and a loser, and you're probably not gonna have a second place," and that America's lead over China and everyone else can only be kept by doing exactly what it is doing now.

The statement came despite progress at the recent Xi summit, meaning government-level AI safety coordination is unlikely to advance soon, leaving cross-border safety work to industry and academic channels.

President Trump and six AI companies signed the "Joint Commitment On Frontier Responsibilities," published in full on September 29, with no penalties for violations and enforcement resting entirely on the companies themselves.

The accord was shared online by presidential advisor David Sacks. Signatories include Google's Sundar Pichai, Anthropic's Dario Amodei, Meta's Mark Zuckerberg, OpenAI's Greg Brockman, xAI's Elon Musk and Nvidia's Jensen Huang, with Trump adding his own signature. The text requires each company to do four things: monitor model capabilities and alignment during training and deployment across cybersecurity, biosecurity and other risks; empower an internal team to keep that monitoring working; partner with an independent external auditor; and designate an independent board committee to receive reports.

The document says that "over time, it may make sense to codify these steps into laws or regulations." The Verge judges the rules mostly vague, common-sense safety procedures with no mention of penalties; Google, OpenAI and Anthropic have all had agents hack systems they should not have touched in recent months, so whether the commitment constrains behavior remains to be seen.

Amazon will permanently shut down its crowdsourcing marketplace Mechanical Turk on Wednesday, ending a 21-year run.

Launched in 2005, the platform broke chores software could not handle — transcription, image labeling, surveys — into "Human Intelligence Tasks" that often paid just cents apiece, and it became a fixture for researchers, remote freelancers and data labelers. According to GeekWire, Amazon stopped onboarding new clients earlier this summer before quietly confirming the full closure.

The direct cause is that modern AI tools automated exactly those simple tasks, and workers themselves increasingly turned to AI to complete assignments. Long-time users are saying goodbye in forums: some paid off debt with it, one earned nearly $20,000 over four years. The platform's exit does not end data work — only its earliest prototype.

On September 23, Anthropic announced that about 950 Claude agents, running simultaneously, took 21.5 hours to surface an enzyme system resembling Crispr from genomic databases, naming it ART. The technical report has not been peer-reviewed.

Le Cong, a Stanford professor, says the experiments are still in the queue while the PR is already live. Jason Gill, a microbiologist at Texas A&M University, points out that his team identified this same reverse transcriptase in a 2021 paper; what is new is the repeat sequences Claude flagged around it.

Whether the system can work as a gene-editing tool remains unknown, and Anthropic itself says it does not yet understand what the system does.

Microsoft Research launched Project Quine on September 29, an experimental AI research system built as a "world model" for biology, developed jointly with Harvard and MIT's Broad Institute.

The system combines a joint representation model spanning genomics, proteins, chemistry, cell states and biological imaging with an interactive reasoning framework, letting researchers pre-screen candidates computationally before committing wet-lab resources. In a Microsoft-reported example, when testing pancreatic ductal adenocarcinoma cell lines, the system prioritized in one weekend compounds that push cells from the classical to the basal-like state. That result has not been independently verified.

The system is research-only and not for clinical use, and Microsoft stresses all outputs still require human evaluation. Researchers can apply to the first Quine Fellows cohort for early access, with broader availability planned through Microsoft Discovery.