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On 5 November 2026 OpenAI released ChatGPT Cyber, a model for cybersecurity work, limited to the top tier of its Daybreak Red programme. OpenAI says it scanned the Linux kernel and found flaws in Firefox.
In early November 2026 Meta acquired Conductor, a startup whose platform runs multiple AI coding agents in parallel workspaces. Conductor's cloud service was set to shut down on 20 November 2026.
Fal, a startup that hosts and runs AI video, image and audio models, raised $1.3 billion at a $16 billion valuation, double its valuation from earlier in the year.
On 28 October 2026 Nvidia released Nemotron 3.5 Transcribe, an open-weight, free speech recognition model covering up to 40 languages, alongside the second version of its Granary speech dataset.
On 15 October 2026 Meta released Muse Spark Open, an open-weight, natively multimodal model with 816 billion total parameters, optimised to run on Apple's Mac Studio. Its weights were published on Hugging Face.
On 6 October 2026 Mistral AI opened a public preview of Mistral Large 4, a model with about 1 trillion total parameters. On 29 October 2026 it released open weights of an improved version.
On 3 October 2026 Aleph Alpha released Kolibri, an open-weight model pitched at public administration, industry and aerospace, with German-language specialization and a traceable training process presented as its advantage rather than raw scale .
On 29 September 2026 OpenAI released GPT-6.1 Sol at its DevDay developer event, saying it nearly matched GPT-6 Astra at lower cost. A planned Astra release was withheld over safety results, and GPT-6.1 Terra followed in October.
Released on 28 September 2026, Claude Sonnet 5.5 is the second model of the Claude 5.5 family. It kept the price of Sonnet 5 and was the first Sonnet model to ship with cyber safeguards and anti-distillation classifiers.
Released on 22 September 2026, Claude Opus 5.5 is the first model of the Claude 5.5 family. Anthropic said it matched Claude Fable 5.1 on most work, at a lower price.
On 21 September 2026 xAI released Grok 4.7, with a larger base model and a longer reinforcement-learning run. Its Fast variant was limited to Cursor and Grok Build.
On 16 September 2026 Cohere and German AI company Aleph Alpha signed a merger agreement, reportedly valuing the combined company at about $20 billion. The deal still needed regulatory approval.
On 8 September 2026 Mistral AI announced a €3 billion Series D led by Samsung Electronics, valuing the company at more than €21 billion after the round.
On 7 September 2026 iFlytek released Spark X2.5, a 293B-A30B mixture-of-experts model trained and served on domestic compute, focused on code and agent tasks, with open-source on-device models supporting up to 1 million tokens of context.
On 3 September 2026 Nvidia agreed to acquire Hugging Face for $12.93 billion. Hugging Face said it would remain an open platform, and the deal was expected to close in the first half of 2027 pending regulatory approval.
On 2 September 2026 Google released Gemini 3.8 Flash and Gemini 3.8 Flash Cyber, a security-focused variant limited to vetted defenders, three weeks after Gemini 3.7 Flash.
Zhipu released GLM-5.3 on 14 August 2026, a post-training upgrade built on the same base model as GLM-5.2, with large gains on coding and cybersecurity benchmarks; NIST's CAISI later called it the most advanced open-weight model in cybersecurity.
On 13 August 2026 DeepSeek launched the general-availability version of DeepSeek-V4-Pro, with agent upgrades, adjustable reasoning effort, OpenAI Responses API support and peak and off-peak API pricing.
Lovable raised a $400M Series C on 12 August 2026 at a $13.3B valuation, led by Menlo Ventures, after users created more than 60 million projects on the platform since its November 2024 launch.
On 12 August 2026 xAI released Grok 4.6, a month after Grok 4.5, aimed at long-running agents. Pricing stayed the same, and the model launched across Cursor, Grok Build and the API.
On 28 July 2026 the Model Context Protocol project published a specification built on a stateless core, turning MCP into a request/response protocol whose requests any instance behind a plain round-robin load balancer can serve.
