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OpenAI GPT-5.6 awaits government approval as the United States forms a de facto model licensing regime

On June 29, 2026, it was reported that the United States has formed a de facto model licensing regime, and OpenAI's latest model, GPT-5.6, is awaiting government approval. Previously, on June 12, the Trump administration forced Anthropic to take down its two most powerful models, and the industry is watching whether this will be extended to the entire AI industry. On July 3, the DeepLearning.AI weekly newsletter showed that OpenAI has released three closed-source vision-language models, GPT-5.6 Sol, Terra, and Luna, which are currently available only to about 20 U.S. government-approved institutions, with input prices ranging from $5 to $1 per million tokens; OpenAI said it will expand access in the coming weeks.

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OpenAI releases preview of GPT-5.6 series

On June 29, 2026, it was reported that the United States has formed a de facto model licensing regime, and OpenAI's latest model, GPT-5.6, is awaiting government approval. Previously, on June 12, the Trump administration forced Anthropic to take down its two most powerful models, and the industry is watching whether this will be extended to the entire AI industry. On July 3, the DeepLearning.AI weekly newsletter showed that OpenAI has released three closed-source vision-language models, GPT-5.6 Sol, Terra, and Luna, which are currently available only to about 20 U.S. government-approved institutions, with input prices ranging from $5 to $1 per million tokens; OpenAI said it will expand access in the coming weeks.

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Wikimedia stated on the AI copyright case that an unfavorable ruling could threaten the open web

On October 30, 2026, the Wikimedia Foundation issued a statement regarding the AI copyright case of The New York Times v. OpenAI and Microsoft. Its general counsel, Stephen LaPorte, said that if the court does not apply the fair use doctrine prudently, it could threaten the sustainability of free knowledge and inhibit the development of open-source technology. Wikimedia argues that using copyrighted works without permission for pre-training large language models may qualify as fair use if the model's output differs from the original text; however, when chatbots directly output article content and replace readers' access to the original works, AI companies should comply with licensing requirements. Wikimedia also pointed out that models reproduce Wikipedia text published under open licenses but do not necessarily comply with conditions such as attribution and share-alike, and it is concerned that if the court broadly rules that AI training is entirely unrestricted, it could greenlight disregard for licenses. CEO Bernadette Meehan said that expanding access to knowledge through AI is an important goal, but the contributors and communities that make reliable knowledge possible must be respected.

360's Tu Longfeng tops CyberGym with a 99.4% vulnerability reproduction success rate

360 Group's self-developed AI security attack-defense system Tu Longfeng topped the CyberGym benchmark with a 99.4% vulnerability reproduction success rate, competing on the same leaderboard against models and agents from vendors including OpenAI, Anthropic, and Google. The evaluation covered 1,507 tasks, and Tu Longfeng achieved success rates of 99.27%, 99.47%, and 99.40% across three independent rounds of evaluation, averaging 99.38%. 360 said Tu Longfeng has discovered more than 15,000 vulnerabilities in total, and over 500 enterprises have already connected to the system to conduct security testing.

Thrive Holdings announces all-cash acquisition of ADT

On October 29, 2026, ADT and Thrive Holdings announced that they had reached a definitive agreement under which Thrive Holdings will acquire ADT in an all-cash transaction. The deal values ADT's equity at approximately $7.6 billion and its enterprise value at approximately $15.3 billion, with ADT shareholders receiving $10.00 in cash per share. That price represents a 45.6% premium over ADT's unaffected closing price of $6.87 on October 27, 2026. The transaction is expected to close in the first quarter of 2027, subject to approval by ADT shareholders and U.S. antitrust review. Upon completion, ADT will become a privately held company and be delisted from the NYSE, and will serve as the foundation of Thrive Holdings' smart home security business. OpenAI announced on December 1, 2025, that it had taken a stake in Thrive Holdings and has deployed research, product and engineering teams into its portfolio companies.

Crosby submits letter of intent to acquire Weil Gotshal

On October 30, 2026, legal AI startup Crosby submitted a letter of intent to acquire the internal data, trademarks, and brand of the dissolving Wall Street law firm Weil, Gotshal & Manges, and to recruit some of its lawyers. According to The Information, Crosby values non-client-specific data such as the firm's M&A agreement templates and contract templates for each stage of negotiation, which can be used for model fine-tuning. Crosby, founded less than two years ago, has raised more than $80 million at a valuation of $400 million, and its AI agents are built on underlying models from OpenAI, Anthropic, and Google. No further developments have been disclosed.

Oracle announces the introduction of Cerebras AI chips into its cloud services

Oracle announced that it will introduce Cerebras Systems' AI chips into its cloud infrastructure, giving customers more computing power options beyond Nvidia GPUs. According to Data Center Knowledge, Oracle also plans to deploy Google TPUs and inference chips from OpenAI, Cerebras, SambaNova and Positron AI on OCI, with the TPU and Cerebras wafer-scale engine scheduled to come online in 2027, and Positron Atlas already available. CNBC Technology reported the same day that Alphabet announced Oracle will offer Google's TPUs, marking the first time customers can use TPUs outside of Google's infrastructure. No further developments have been disclosed at this time.

NVIDIA and Oracle Announce Expansion of Vera Rubin to Multi-Gigawatt Scale

On October 28, 2026, NVIDIA and Oracle announced plans to expand the NVIDIA Vera Rubin NVL72 systems in OCI Superclusters to multi-gigawatt scale, while Vera Rubin NVL72 and the NVIDIA Vera CPU became generally available on OCI. According to information published by the NVIDIA Newsroom that day, OCI Superclusters connect 72 GPUs per rack via NVLink and use Spectrum-X Ethernet and BlueField-4 DPUs; the two companies said customers can scale CPU and GPU resources independently to reduce idle capacity. On the same day, Analytics India Magazine reported that at the Oracle AI World conference, Oracle announced an expansion of AI compute capacity on its cloud platform, adding NVIDIA Vera Rubin NVL72 systems and Vera CPUs, and plans to offer Google TPU and Cerebras inference technology on OCI starting in 2027. The NVIDIA information also noted that OpenAI has already trained and run GPT-6 Astra on more than 100,000 NVIDIA Blackwell GPUs on the OCI Supercluster in Abilene, and said it will put Vera into production to support agent sand

Replit CEO says it is no longer working with Anthropic

Replit CEO Amjad Masad confirmed during an onstage interview at TechCrunch Disrupt 2026 that the company is no longer working with Anthropic, citing cost, partnership, and performance reasons, and said GPT is now a better fit for Replit's workloads. He noted that Replit had been one of Anthropic's top five customers, and citing internal VBench and public benchmarks, said OpenAI's Sol and Astra models perform better at building vibe-coded apps from scratch. A subsequent TechCrunch AI report said Masad clarified that users can still access Anthropic models on the platform, but OpenAI's ChatGPT has become the default model. Masad also said the share of revenue from enterprise contracts rose from about 2% in 2025 to about 15% in 2026, with more than 50% of revenue now coming from B2B.

UK announces establishment of national AI biosecurity laboratory

The UK announced the establishment of the National AI Biosecurity Laboratory (AIBL). According to a report on October 24, 2026, the laboratory is positioned as an independent non-profit institution, with £100 million funded by the government, OpenAI and Anthropic jointly pledging up to £200 million, for an overall scale of up to £300 million. Initially it will focus on early detection of emerging biological threats and accelerated development of vaccines and treatments. OpenAI will provide £100 million in computing power and model credits, and open model access through the Rosalind Biodefense program; Anthropic will provide up to £100 million in model credits and technical support; Google DeepMind and Basecamp Research are participating in research collaboration. Subsequent reports likewise mentioned that the government is spending £100 million, OpenAI and Anthropic are providing model usage credits worth up to £200 million, and stated that Google DeepMind and Basecamp Research are participating in the collaboration. There are currently no further developments with evidence.

Greg Brockman says discovery and advancement of compression library RCE vulnerability disclosure

Greg Brockman says that OpenAI discovered during a red team exercise that the widely deployed Brotli compression library has an unauthorized remote code execution vulnerability, and advanced the disclosure of this vulnerability. According to OpenAI's explanation, an attacker could run their own code on affected systems by sending or replying with malicious compressed data, without needing to create an account. The root cause of this issue was fixed in the Brotli source code in February, but at the time it was not realized that it would constitute a security vulnerability, and no new version has been released since. OpenAI has disclosed to Brotli and downstream projects such as Node.js; Brotli subsequently released a new version and made the CVE public, and Node.js has released or is releasing security updates. Brockman says this also illustrates the complexity of patch coordination, because the library is integrated into a large amount of downstream software.

Warp Sciences raises $215 million to build AI chemistry research lab

Warp Sciences has completed a $215 million financing round to build a chemistry research facility in the United States, using AI and robotics to assist pharmaceutical and biotechnology companies in developing drugs. The company was founded by Kevin Weil, former head of OpenAI's science initiatives, about six months after he left OpenAI; its co-founders include former White House chief data scientist DJ Patil and former Meta executive Mano Paluri. The company operates as a chemistry contract research organization (CRO), initially focusing on lead compound optimization through analog synthesis. Experimental data will be used to train its AI models, while chemists wear cameras and sensor-equipped gloves to demonstrate actions for robots to learn experimental procedures. The round was led by Lightspeed Venture Partners, with participation from Premji Invest, Mayfield, IVP, Lux, Conviction, Menlo Ventures, 01 Advisors and others; angel investors include Brian Armstrong, Ion Stoica and Dylan Field. No further developments have been disclosed at this time.