441e85161ClaimChinese 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.AgreeDisagree
441e85161ClaimMiniMax reported that MiniMax M3.1 Flash operates about three times faster than MiniMax M3, with median output speeds consistently exceeding 170 tokens per second.AgreeDisagree
441e85161ClaimMiniMax 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.AgreeDisagree
441e85161ClaimMiniMax 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.AgreeDisagree
441e85161ClaimMeta 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.AgreeDisagree
441e85161ClaimMiniMax reported that MiniMax M3.1 Flash can reach peak generation speeds exceeding 200 tokens per second.AgreeDisagree
441e85161ClaimThe RFD4-Proteina model co-developed by Nvidia and the University of Washington generates both protein sequences and three-dimensional structures.AgreeDisagree
441e85161ClaimLiteLLM, developed by BerriAI, provides a shared interface for LLM providers including OpenAI, Anthropic, and Google Gemini, receiving approximately 23 million weekly downloads.AgreeDisagree
441e85161ClaimResearchers 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.AgreeDisagree
441e85161ClaimMass 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.AgreeDisagree
441e85161ClaimThe 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.AgreeDisagree
441e85161ClaimThe 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.AgreeDisagree
441e85161ClaimArtex was developed by Chinese engineer Li Puhua in July 2026 as a penetration testing tool that automates security assessments using large language models.AgreeDisagree
441e85161ClaimClaude 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.aiAgreeDisagree
441e85161ClaimWiz 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 configurationsAgreeDisagree
441e85161ClaimOpenAI 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 weeksAgreeDisagree
441e85161ClaimIn September 2026, Google announced its next-generation Gemini 4 Argon model, competing directly with OpenAI's frontier offerings such as GPT-6 AstraAgreeDisagree
441e85161ClaimGoogle broadened access to its Gemini 4 Argon model in an effort to regain momentum in artificial intelligenceAgreeDisagree
441e85161ClaimAccording to corporate card issuer Ramp, most business spending on AI goes toward models from OpenAI and AnthropicAgreeDisagree
441e85161ClaimSome corporate IT departments have integrated Google's Gemini models into their internal software systemsAgreeDisagree