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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 The technical report has not been peer-reviewed.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.

Florida Attorney General Uthmeier filed a motion for a temporary injunction on September 28, asking a court to bar OpenAI from giving ChatGPT human-like traits and from marketing it to minors.

The motion also asks the court to block OpenAI from developing new models without third-party-approved safety guardrails. An OpenAI spokesperson told The Verge the company has paused training of its most capable models. The court has not yet ruled.

Florida already sued OpenAI in June, alleging ChatGPT gave young users self-harm instructions and got them addicted. This is an injunction request only; whether it is granted is up to the court.

At its DevDay on September 29, OpenAI announced plugin extensions: third-party apps will get a dedicated home in the ChatGPT sidebar rather than being invoked only inside a conversation.

Developers can build interactive panels and file viewers so users work with their tools while chatting with ChatGPT, approving each plugin's access needs individually. According to TechCrunch, the plugin creation and directory recommendation flows are also being streamlined.

The key new capability is automation: OpenAI said it is adding support for the proposed MCP Events specification, a standard that would let plugins start workflows based on events in a connected app. ChatGPT Sites, the lightweight websites built with ChatGPT, can host these plugins too. The announcement came as a conference presentation; the report does not state rollout scope or timing.

OpenAI announced its always-on agent Dots at DevDay on September 29, opening it the same day to ChatGPT Pro subscribers who pay $100 a month.

According to WIRED, Dots runs on the GPT-6 Astra model and differs from a single-turn chatbot: it continuously crawls the web, pulls context from connected apps, and proactively works through multi-step tasks a user assigns. In one official demo, a Dot saw from the user's calendar that they would be working through dinner and messaged two Grubhub delivery options with pricing.

Users can reach their Dot through ChatGPT, Slack, and Microsoft Teams, and Pro users can join a waitlist to text with it via iMessage or RCS on Android. Sensitive actions like installing software or changing a password require explicit approval, and a Custom Rules tool lets users set boundaries the agent must not cross.

The personal-agent race is heating up: Meta's Muse just topped smartphone download charts, and OpenAI has now answered. The demos come from OpenAI itself, so real-world task quality remains to be seen.

At its DevDay on September 29, OpenAI announced that Codex cloud development environments are now reusable and configurable, and developers can pick up tasks from a computer, a phone, or the cloud.

Codex could already run remote cloud tasks, but each one lived in an isolated, one-off sandbox. The new environments support shared team workspaces with approved settings and permissions, and tasks start faster.

The same announcement covered a CLI update with voice control and a multi-task view, code review inside the ChatGPT desktop app with automatic initial reviews, and Codex Security Cloud, which scans GitHub repositories on demand or on a schedule and prepares fixes in the cloud. All of this comes from the vendor's own DevDay announcement; actual availability and performance rest on user testing.

The US government launched its public-facing AI chatbot America.gov on September 29. According to TechCrunch, the government partnered with Google and others to build it.

Early users have found it difficult to jailbreak so far, and the chatbot states that Joe Biden won the 2020 election — a fact President Trump still denies. When asked about Minecraft, it outputs a roughly 1,800-word monologue that is actually a rewrite of the game's End Poem by Julian Gough, not a hallucination.

Trump said in a speech that twenty-year-old programmer Edward Coristine, known as "Big Balls" from his DOGE stint, was a lead engineer, but who planted the easter egg is unknown. As a government-hosted public AI tool, its real reliability will be tested by public use.

Grant Thornton Hong Kong's annual review finds severe shortages of AI and cybersecurity expertise on the boards of Hong Kong's largest listed companies.

The 15th Corporate Governance Review covered 100 major listed firms on the Hang Seng Composite Index. Fewer than 1% of directors possess dedicated AI or cybersecurity skills.

Awareness and action diverge: 59% of companies view cybersecurity or AI as principal business risks, yet only 11% have established specialised board committees to oversee them. The gap persists despite HKEX introducing mandatory director training and board skills matrices last year.

Google is running a pilot program that pays publishers based on how much their content contributes to AI Overviews, AI Mode and Gemini, according to a report from The Information carried by The Verge. Around 100 publishers have joined.

The reported scale: one publisher that joined when the program started earned over $1 million in a year, while another that joined a few months ago has earned around $50,000 to $60,000. Digiday first reported the pilot, which began less than a year ago.

Google has not confirmed the program, and its terms and total budget are undisclosed. The context: the UK has ruled Google must let publishers opt out of AI search features, and the EU is investigating the traffic impact and has ordered changes to its search engine.

Orbbec filed a listing application with the Hong Kong Stock Exchange on September 24, seeking to issue H shares on the main board; the company has been listed on the Shanghai STAR Market since July 2022.

According to Zhidx's September 28 report, the prospectus discloses revenue growing from 360 million yuan in 2023 to 941 million yuan in 2025, with a net profit of 128 million yuan in 2025 marking a return to profitability, and 40.79 million yuan in the first half of 2026.

Per Frost & Sullivan, Orbbec held a 29.0% share of the global robotics 3D vision perception market by 2025 revenue, ranking first. Note that its top five customers accounted for 63.9% of 2025 revenue, with the largest at 30.0%, up sharply from 2023. A filing is not a completed offering; pricing and proceeds remain to be disclosed.

DataCanvas, a Beijing-based AI computing infrastructure company, filed its listing application with the Hong Kong Stock Exchange on September 29, with China Galaxy International as sole sponsor. The offering size and target proceeds have not been disclosed.

The prospectus figures are the substance of this filing. Revenue grew from 106 million yuan in 2023 to 1.098 billion yuan in 2025, up 177.7% year on year in 2025; first-half 2026 revenue was 588 million yuan, up 92.0%. Adjusted net loss (a non-IFRS measure) narrowed from 206 million yuan in 2024 to 91.3 million yuan in 2025, and 14.88 million yuan in the first half of 2026.

The risks are equally concrete: the top five customers accounted for 88.0% of 2025 revenue and the top five suppliers 84.8% of purchases; net liabilities stood at 2.644 billion yuan as of June 30, 2026, with operating cash flow still negative. Revenue is shifting from computing infrastructure integration (91.2% of 2025 revenue) toward computing cloud services (26.1% in the first half of 2026), and whether the latter's gross margin keeps improving will set the pace of profitability.

These figures come from Zhidx's September 30 report on the prospectus; the primary document is the listing application on the HKEX disclosure platform, and individual figures are best checked against that original.

Tesla announced $30 billion in new credit lines on September 29, all signed facilities disclosed in a regulatory filing.

The package is three pieces: Citibank agreed to a $20 billion three-year delayed-draw term loan, Wells Fargo signed an $8 billion five-year revolving credit facility, and there is a $2 billion 364-day revolving facility. The company said in the filing that it does not plan to draw on these facilities this year.

The lines back a real spending plan: Tesla has already projected at least $25 billion in capital expenditures for 2026, and Cybercab, the Optimus robot and the Semi all require new manufacturing lines, with dedicated factories under construction for the latter two. At the end of the second quarter Tesla carried about $9 billion in debt and more than $40 billion in cash and investments. Committed credit is not cash received; whether and when it is drawn depends on how the expansion goes.