MiniMax confirmed that an earlier build of MiniMax M3.1 Flash operated anonymously under the name Space Bunny, processing over 200 trillion tokens prior to its official launch.

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Chinese AI company MiniMax released MiniMax M3.1 Flash on October 19, 2026, featuring 428 billion total parameters, about 23 billion active parameters in a mixture-of-experts architecture, and a 1,000,000-token context window.

MiniMax reported that MiniMax M3.1 Flash operates about three times faster than MiniMax M3, with median output speeds consistently exceeding 170 tokens per second.

MiniMax M3.1 Flash API pricing is set at $0.15 per million input tokens and $0.60 per million output tokens, with cached input reads priced at $0.015 per million tokens.

Meta Platforms Inc. released its Muse Wonder foundation AI model and offers paid subscription tiers ranging from $20 to $200 per month for power users and developers.

MiniMax reported that MiniMax M3.1 Flash can reach peak generation speeds exceeding 200 tokens per second.

The RFD4-Proteina model co-developed by Nvidia and the University of Washington generates both protein sequences and three-dimensional structures.

LiteLLM, developed by BerriAI, provides a shared interface for LLM providers including OpenAI, Anthropic, and Google Gemini, receiving approximately 23 million weekly downloads.

Researchers at Mass General Brigham developed the FAHR-Face artificial intelligence foundation model by training the algorithm on over 40 million facial photographs across diverse ages and ethnic backgrounds.

Mass General Brigham researchers fine-tuned the FAHR-Face foundation model into two complementary tools: FAHR-FaceAge for biological age estimation and FAHR-FaceSurvival for direct cancer survival prediction.

The complaints allege Meta Platforms Inc. operated a book-scanning program called Project Vellum starting around mid-2025 that purchased and scanned physical books to train its Muse Spark and Muse Glimmer AI models.

The authors' complaints allege Meta Platforms Inc. downloaded e-books from pirate shadow libraries, including LibGen, Z-Library, Anna's Archive, and the Books3 dataset, to train its large language models.

Artex was developed by Chinese engineer Li Puhua in July 2026 as a penetration testing tool that automates security assessments using large language models.

Claude Duet is built around Anthropic's flagship Opus 5.5 model and operates via a separate mobile app for iOS and Android as well as claude.ai

Wiz researchers noted that while AI helped identify the ancient PHP vulnerabilities CVE-2026-109618 and CVE-2026-109619, large language models also lower the barrier for attackers to adapt exploits across different server configurations

OpenAI announced on October 21, 2026, that it will make its frontier AI models and Codex coding agent available through Google Cloud's Model Garden and Marketplace in the coming weeks

In September 2026, Google announced its next-generation Gemini 4 Argon model, competing directly with OpenAI's frontier offerings such as GPT-6 Astra

Google broadened access to its Gemini 4 Argon model in an effort to regain momentum in artificial intelligence

According to corporate card issuer Ramp, most business spending on AI goes toward models from OpenAI and Anthropic

Some corporate IT departments have integrated Google's Gemini models into their internal software systems

OpenAI introduced its specialized GPT-Rosalind AI model in April 2026 to assist researchers with complex problems in biology, chemistry, and drug discovery