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In the early hours of October 24, Moonshot AI (Kimi) officially launched Kimi K3.1 Pro, calling it its most capable 3-trillion-level parameter model to date, supporting a 1-million context window, with notable improvements in coding, 3D creation, financial research, and long-horizon Agent capabilities. Kimi K3.1 Pro is a post-trained version of Kimi K3; through enhanced post-training compute and technical optimization, it achieves comprehensive improvements across all domains from large-scale RL

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The Artefact AI Film Festival, organized by mk2 and Artefact in partnership with LDLC and NVIDIA, is now in its third edition, with the theme "(Dis)Connection" and a registration deadline of December 2, 2026. Submitted films may be up to 314 seconds long and must use at least one generative AI technology in each of the three stages: pre-production, shooting, and post-production; the first prize is 10,000 euros, plus a one-week 30-second screening at an mk2 cinema. NVIDIA recommends using GeForce

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Meta launched its personal AI Agent Muse last month. It has an independent virtual computer and browser and can send emails, book travel, and shop on behalf of users. It reached about 2.8 million downloads within two weeks of launch, and at the October 21 earnings call it was announced that more than 10 million people had activated it. Less than two weeks after launch, Muse was blocked by Amazon from accessing its shopping site. Amazon said AI Agents should identify themselves and respect whethe

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Moonshot AI releases Kimi K3.1 Pro, a multimodal MoE model with 2.8T total parameters, 104B activated parameters, and a 1 million token context window. The Standard and Highspeed versions are now available on the Kimi website, App, Kimi Work, Kimi Code and API. The company says Highspeed offers 2–3x faster output at twice the price of the Standard version. Artificial Analysis ranks it fourth on the Intelligence Index with a score of 55, behind Opus 5.5's 58; on Arena's Code Arena WebDev it ranks

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Rich Privorotsky, Goldman Sachs' head of European fixed income and equity trading, revealed in an interview on the "The Markets" podcast that last week the Goldman Sachs prime brokerage business book saw the largest technology stock selloff in its history. He noted that the market expects AI capital expenditure to reach 1.1 trillion US dollars next year, but investors demand to see backlog orders converted into revenue, while a power gap of about 40 to 50 gigawatts next year casts doubt on compu

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Finout co-founder and CPO Asaf Liveanu points out that AI agents can start spending money with just a prompt and an API key, yet lack a clear accountability process like employees have. A single agent task may call multiple model providers, search services, and SaaS tools, and costs vary with retry counts, loop duration, and model choice; two agents built from the same template may have vastly different month-end bills. He suggests designating a human owner and a cost-bearing team before an agen

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Moonshot AI has released Kimi K3.1 Pro, a new-generation open-source large model with 3-trillion-level parameters that supports a 1-million-token context window, retaining its title as the open-source model with the largest parameter scale in the world. The model is a post-trained version of Kimi K3, with a substantial increase in post-training compute, and it shows notable improvements in coding, 3D creation, financial research and long-horizon Agent capabilities; across multiple international

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After AI takes over complex parts of knowledge work, the scarcity of professional expertise, sense of ownership over outcomes, and organizational decision-making power are weakened, and professional identity loosens accordingly. A 2026 study involving a 269-person experiment and a 270-person survey shows that those who directly adopt AI have lower self-efficacy, sense of belonging, and sense of meaning, while those who first write a draft and then let AI revise it have a stronger psychological c

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Charlie McElligott, cross-asset strategist at Nomura Securities, pointed out that hyperscale cloud providers' AI capital expenditure has fallen into a dilemma: continuing to accelerate will pressure free cash flow, while a substantial slowdown would mean AI demand and earnings expectations break down—both paths point to AI assets being sold off. In the most violent single-day selloff of the past week, 47 of the 124 US equity long-short pairs monitored by Nomura moved more than 3 standard deviati

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During a red team exercise, OpenAI discovered an unauthenticated remote code execution vulnerability in the Brotli compression library. 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 was already fixed in the Brotli source code in February, but at the time it was not recognized as constituting a security vulnerability, and no new version had been released since; OpenAI has disclos

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DeepSeek V4.1 Flash 1017 ranks first among openly available models on the Artificial Analysis Cyber Index with a score of 57%, and second on the overall leaderboard, 12 points behind GPT-6 Sol (69%), which is offered through a trusted access program. The index consists of three benchmarks: CWE-Bench-AA, DeepsecBench-AA, and CyberGym-E2E-AA, and mainly evaluates agentic cybersecurity defense tasks. Compared with the previous generation DeepSeek V4.1 Flash's 41%, the new version improves by 16 poi

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Moonshot AI released the reasoning model Kimi K3.1 Pro, which scored 55 on the Artificial Analysis Intelligence Index, ranking fourth, an 11-point improvement over Kimi K3's 44 points, behind only Claude Opus 5.5 (58), Claude Sonnet 5.5 (56), and Muse Wonder Full (56). Its agentic capabilities improved markedly: it ranks third on GDPval-AA with 1846 Elo, scores 67% on Terminal-Bench 4.0 (Kimi K3 scored 13%), and rose from 58% to 73% on AutomationBench-AA. The model has a 1M-token context window,

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Alpha Compute executive Tom Richer said at the Dell Technologies New York Symposium that small neoclouds find it difficult to build a complete GPU deployment team on their own, and Dell's managed services support is key to keeping clusters healthy and profitable after they go live. Alpha Compute provides sovereign and confidential computing with Dell and Intel hardware; its 72-node St. Louis cluster uses Dell's Nvidia Blackwell systems, InfiniBand networking and direct liquid cooling, and it has

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Warp Sciences, co-founded by former executives from companies including OpenAI and Meta, has completed a $215 million financing round and will build a chemistry research facility in the United States, using AI and robotics to help pharmaceutical and biotechnology companies develop drugs. The company operates as a chemistry contract research organization (CRO), initially focusing on lead compound optimization through analog synthesis, with chemists guiding experiments and experimental data used t

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In its third-quarter financial report released on October 21, Meta estimated 2026 capital expenditures of $135 billion to $145 billion, to continue investing in AI infrastructure and new product development. The company said AI investment has already brought incremental advertising revenue through stronger user engagement, better recommendations and more efficient monetization, and expects these investments and new product launches to support revenue growth in 2027. Third-quarter revenue was $64

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AI solutions engineer Yogen Ghodke developed ListenToMe, which uses OCR to extract text from documents and then generates audio via text-to-speech, helping visually impaired students turn study materials into listenable content. The app supports about 30 languages; in the three to four weeks since its public launch, it has gained about 1,600 registered users and about 1,000 people submitting documents, with about 200 new users per day. The free version currently processes a maximum of 250 pages

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AI startup Flapping Airplanes, founded about a year ago, has completed a $1 billion Series A funding round at a valuation of $6 billion, with participation from Nvidia, Sequoia Capital, GV and others; its seed round valued it at $1.5 billion. The company independently develops software that drives Nvidia GPUs, and its founder says its "giant kernel framework" can improve chip efficiency and lower the cost of AI training and operation. It currently has no commercial product, and independent tests

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