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Meituan Longcat Releases LongCat-2.5: A Native Multimodal Model with 1.6 Trillion Parameters

On November 2, Meituan Longcat unveiled LongCat-2.5, a native multimodal model designed for long-range agent tasks, boasting a total of 1.6 trillion parameters and approximately 48 billion activations per token. Building upon LongCat-2.0, it enhances native visual understanding and agent programming capabilities. Online access and APIs are now available, with weights soon to be released on GitHub and Hugging Face. Technically, visual signals are represented as multi-level discrete tokens, leveraging the LongCat-Next semantic alignment encoder while incorporating residual vector quantization, supporting native resolution discretization.

Anti-Myth: How Should Humanity Respond When the AI Crisis Arrives?

Faced with the rapid advancement of artificial intelligence, only by keeping the power of choice and responsibility firmly in human hands can humanity avoid quietly and willingly walking down a path leading to enslavement.

As Anthropic finally files for IPO, rising risks aren’t slowing the AI buildout – yet

The other artificial intelligence shoe dropped this week, as Anthropic filed for what surely will be the second blockbuster AI initial public offering of stock this year. Nearly 70,000 words in the filing list a ton of risks, but in short, it’s making unimaginably huge bets on buying computing power, it’s uncertain on how long […] The post As Anthropic finally files for IPO, rising risks aren’t slowing the AI buildout – yet appeared first on SiliconANGLE.

[AINews] Building AIE CODE: The top Coding Agent Conference

Mistral’s open-weight release, frontier monitoring, and the day’s AI Twitter and Reddit recaps.

A one-person pharmaceutical company was acquired by Anthropic before its IPO.

Anthropic has also started developing drugs on its own.

[AINews] Gemini 4 Carbon tops leaderboards, launches for cyber defenders

Google’s new frontier model leads independent evals, with access initially limited to trusted defenders.

[AINews] Anthropic ends Coding Interviews: "Hunger beats tenure"

Since coding is solved, why code for the job?

Mirendil Launches Fern 0.1, Its First Model, With 10M-Token Context

Mirendil released Fern 0.1, its first model, pretrained from scratch with a 10M-token context window. It targets agentic AI R&D work, scores 100% on RULER single needle at 10M, but trails frontier models on agentic coding. The post Mirendil Launches Fern 0.1, Its First Model, With 10M-Token Context appeared first on MarkTechPost.

AI Graveyard: A Continuously Updated List of Failed AI Projects and Startups

TechCrunch reported on October 25, 2026, reviewing several AI projects from 2023 to 2026 that failed to meet expectations, including startups and products such as Relay, Character.ai, Sora, and Humane AI Pin, as well as failed attempts or major adjustments by major companies like OpenAI, Apple, and Microsoft.

Why it matters：This report provides an industry‑wide, phenomenon‑driven overview, with broad coverage and a clear timeline (including specific shutdown or delay dates), and cites S&P Global Market Intelligence data to substantiate the high attrition rate—42%—of enterprise‑level AI projects. It combines detailed case studies with structural analysis, making it a highly valuable reference.

PHP ‘Doomsday Vulnerability’ Exposed: OpenAI and Wiz Use AI to Discover a High-Risk Flaw Spanning 20 Years

The U.S. National Security Agency (NSA) issued an urgent alert: OpenAI and Google’s Wiz team, working together using AI tools, have discovered two critical vulnerabilities affecting all PHP versions 5 and above (since 2004). These vulnerabilities could allow remote exploitation of the server’s file system or database. While there are currently no reports of real-world exploitation, AI has significantly lowered the barrier to attack, making it imperative for tens of millions of websites worldwide to urgently upgrade to PHP 8.5.12.

European tech companies are building on-premises AI infrastructure using NVIDIA Vera CPUs.

European AI cloud service providers such as Nebius, Nscale, and Verda, along with server manufacturers like Bull, Dell, and HPE, are building a new generation of energy-efficient, high-concurrency AI infrastructure based on NVIDIA’s Vera CPU, with a focus on supporting agentic computing workloads—including sandbox execution, semantic search, data analytics, and research collaboration.

Atlassian and OpenAI expand partnership to turn enterprise knowledge into action

Atlassian and OpenAI are expanding their partnership to connect frontier models with enterprise knowledge and help teams plan, build, and deliver work.

AlphaGenome Atlas: A predictive map of every possible DNA letter change in the human genome

AlphaGenome Atlas maps the molecular effects of 9 billion single-letter DNA variants across the human genome.

ATLAS: Practical scaling laws for multilingual models

Generative AI