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#Data and training

All collected and published items, ordered by time. Picks are a selected subset.
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Company business, funding and M&A, people, partnerships, lawsuits, regulation and policy, markets and infrastructure.

Today10/17Sat
10/16Fri
  1. Nathan Lambert · X46

    Nathan Lambert Says MOCOM’s Statement Could Ease Open-Source Technology Exports

    Seems very important, as tons of people are tweeting about the end of bigger open models from China due to this from MOCOM, but there's a statement intending to make it easier for open source technology. Much hinges on implementation and how "near automatic" approval would work. https://twitter.com/ZilanQian/status/2111073916194013274

10/15Thu
  1. AI at Meta · X42

    Meta Shares 10 Health Research Manuscripts Produced with AI Assistance

    Meta says it is exploring how AI can accelerate health science research. Medical experts used a human-led research scaffold powered by Muse Spark 1.3 and Muse Wonder, with access to 5M retrospective de-identified electronic health records and publicly available data, to conduct original research and speed hypothesis generation, code execution, and manuscript drafting while retaining authority over scientific decisions. The 10 manuscripts span cardiology, oncology, infectious disease, emergency medicine, and more.

10/14Wed
  1. TechCrunch · AI58

    Scimplify raises $25M to challenge China’s grip on critical materials with AI

    Scimplify raised $25 million in an all-equity strategic round led by Hitachi Ventures to expand its AI-powered specialty chemicals and critical materials business. Its Scinode platform uses specialized AI agents to identify production routes and facilities and track quality and regulatory requirements. Co-founder Sachin Santhosh said the startup plans to allocate around $7.5 million to U.S. expansion and another $2 million to Scinode development.

  2. 量子位55

    MemSilicon completes tape-out of MountTai 2026, a 1Gb 1T4R RRAM chip

    MemSilicon announced on October 12 that it completed tape-out of MountTai 2026, its first-generation high-density RRAM chip based on the 1TnR approach, with validation underway. The company reports a 28nm CMOS process, a 1T4R structure, 1Gb capacity, 30Mb/mm² density, access latency below 20ns, and on-chip hardware error correction. Its architecture shares one selection transistor across four resistive memory cells to reduce transistor area overhead per cell.

10/13Tue
  1. Nathan Lambert · X17

    Trillium Labs Is Hiring Across Roles to Build an Open Scientific Ecosystem for LLMs

    Trillium Labs is hiring for several roles, with near-term starts preferred, to build an open scientific ecosystem for LLMs. The roles include full-time post-training researchers, engineers experienced with open-source libraries such as megatron, MILES, sglang, and Tinker, mission-aligned generalists, nonprofit operations staff, and student researchers. Nathan Lambert says he is also interviewing for MATS and asks applicants to reply, email or DM him, and submit the form on the company website.

  2. MIT Technology Review · AI76

    AI labs are buying data from dead startups to train their models

    AI labs are buying defunct startups’ code and workplace archives through companies such as SimpleClosure and Sunset to train models and build environments where AI agents practice tasks. SimpleClosure’s Asset Hub has handled over 150 deals, while Google bought Spirit Airlines’ decades of data for $10 million this past August. The market raises questions about employee privacy, consent, and pricing, and no company has released tests comparing training results from real-world archives with alternatives.

    Why it matters: The sales expose a gap between who generates workplace data and who receives its resale proceeds, with employees’ private information entering transactions that typically benefit creditors and investors.

  3. 量子位53

    Robotics and Physical AI Companies Raise Nearly USD 48 Billion in 2026

    Robotics and physical AI companies raised nearly USD 48 billion through October 8, 2026, about 1.7 times the total for 2025, according to PitchBook data cited by the Financial Times. Funding increasingly concentrates in leading companies while supporting robot hardware, general-purpose models, training data, and deployment. The report examines paid video collection, robot training facilities, and commercial deployments as ways to gather data, while acknowledging that data quality, task coverage, and transfer across robots also affect learning.

  4. TechCrunch · AI65

    WindBorne wins US Air Force balloon data contract worth up to $49 million

    The U.S. Air Force awarded WindBorne Systems a contract worth up to $49 million for atmospheric data collected by its autonomous weather balloons, with $1.7 million ordered so far. The Air Force pays as needed and can request data for specific regions and times. WindBorne operates about 700 balloons globally and also feeds their readings into its AI weather forecasting model; executives say the contract can support fleet expansion and hardware research and development.

10/11Sun
  1. The Decoder72

    arXiv caps submissions at two per month as AI paper flood overwhelms moderators

    Starting October 1, 2026, arXiv limits submissions to two papers per person per calendar month, keeping the existing cap of three active submissions. The platform says AI tools helped push monthly submissions past 40,000, with the cs.AI category growing more than sixfold in two years and nearly 9,000 support tickets generated. Editorial advisory council chair Thomas G. Dietterich calls the rule a temporary fix until moderation tools scale.

10/10Sat
  1. Latent Space42

    Standard Bots Details Its AI Stack for Industrial Robot Arms

    Standard Bots, which calls itself "America's largest AI-native industrial robot manufacturer," described its AI stack for industrial robot arms used in machine tending, welding, and assembly. Its largest model is in the low billions of parameters, trained on over a billion images for zero-shot perception, with training in the cloud and inference run on-premises via edge GPUs. The company recently raised $200 million at a $1 billion valuation in a Series C led by General Catalyst and RoboStrategy.

  2. Latent Space67

    TypeSafe Reaches $100M ARR and $7.5B Valuation Three Weeks After Launch

    TypeSafe announced its Series AI round, and Sequoia disclosed that the company crossed $100M ARR in its first week, three weeks after launch, according to this AINews roundup. The same issue reports several vendors shipping typed decision models on one day, including OpenAI's Decisions API on GPT-6 Luna at $0.10/M input tokens and Perplexity's pplx-decider-v1.1-27b claiming 94.5% on Decision Bench.

  3. 雷锋网38

    Mifengpai Launches Physical AI Data Crowdsourcing Platform With Robot Trainer Program

    Mifeng Technology launched Mifengpai, which it calls the world's first full-category high-quality physical AI data crowdsourcing platform, at a Shanghai event on September 23. The platform pairs MEgo capture devices and the MEgo Engine processing platform with a collector network, and covers 22 categories, over 5,000 task types and more than 50,000 real scenarios. The company also announced a robot trainer program and a 100 million yuan subsidy plan.

  4. 雷锋网34

    GMIF 2026: 140 trillion Token calls per day are changing SSD capabilities and division of labor

    As of March this year, China's daily average Token call volume exceeded 140 trillion, and large-scale inference is driving SSDs to extend from capacity and persistent storage toward the compute side. Samsung demonstrated a Z-NAND architecture, placing model weights in Z-NAND and keeping KV Cache in DRAM; large North American internet companies have begun replacing some HDDs with high-capacity QLC SSDs. Data management is also shifting from fallback-style tiering to proactive tiering at the outset of system design and dynamic scheduling during operation.

  5. The Verge · AI88

    OpenAI Releases Nearly 400 Mathematical Results at Once, Mathematicians Say It Will Take Years to Digest

    This week, OpenAI suddenly released nearly 400 AI-generated mathematical results, spread across more than 700 manuscripts and covering directions including combinatorics, geometry, number theory, theoretical computer science, algebra, topology, probability and statistical mechanics, and mathematical physics.

    Why it matters: Through first-hand reactions from dozens of mathematicians, this presents the impact of OpenAI's one-time release of nearly 400 results on the academic ecosystem and researchers' career paths.

10/9Fri
10/8Thu
  1. 雷锋网38

    Tsinghua AIR's first PhD graduate Li Jianxiong founds BASAL Intelligence; 5Y Capital leads investment in action-native embodied models

    Li Jianxiong, the first PhD student at Tsinghua University's Institute for AI Industry Research (AIR), founded embodied AI company BASAL Intelligence. 5Y Capital led the round, with Ivy Capital, Linear Capital, and Huashan Capital participating. Tsinghua AIR associate professor Zhan Xianyuan is the chief scientist.

10/7Wed
  1. TechCrunch · AI22

    Mirror Particle is building a 'world model' that simulates human behavior

    San Francisco startup Mirror Particle is building a foundation model from scratch to simulate human behavior and why it changes. It argues that using LLM role-play to predict group behavior is fundamentally ineffective. Its model combines customer data with current events, popular culture, and social media to track 'real behavior' rather than survey responses, and explains the motivations and constraints behind recommendations.

10/6Tue
10/5Mon
10/3Sat
10/1Thu
  1. NVIDIA Blog22

    How NVIDIA AI factories maximize ROI through high output, long life, and broad applicability

    NVIDIA says AI factory return on investment depends on three factors: output capacity, useful life, and demand. Its platform uses full-stack co-design to maximize throughput per megawatt. SemiAnalysis AgentX data show Vera Rubin NVL72 delivers more than 30 times the throughput per megawatt of GB300 NVL72 and, on DeepSeek V4 Pro, can reduce cost per million tokens by up to 45 times.

9/30Wed
  1. NVIDIA Blog62

    NVIDIA and CoreWeave put Vera Rubin NVL72 into production; Cognition is first customer

    CoreWeave announced that NVIDIA Vera Rubin NVL72 systems and Spectrum-X 102.4T Ethernet are available on CoreWeave Cloud, making it one of the first cloud providers to deliver the platform. Cognition is the first customer to run Vera Rubin in production.

    Why it matters: CoreWeave launched Vera Rubin NVL72 and published measured Devin throughput, offering a view of compute costs for agentic coding workloads.

  2. 雷锋网22

    Gotion High-Tech unveils Xingchen low-altitude flight battery, China-Europe-Africa logistics solution, and zero-carbon energy platform

    At a special launch event at the 2026 World Manufacturing Convention, Gotion High-Tech introduced three offerings: the Xingchen high-power battery for low-altitude flight, an integrated new-energy logistics solution for China, Europe, and Africa, and the GotionGuard-ZERO zero-carbon digital energy cloud platform.

  3. 雷锋网24

    Shutu Technology raises nearly RMB 100 million in Pre-A funding to bring SynaTac tactile product line to market

    Shutu Technology raised nearly RMB 100 million in a Pre-A round co-led by CDH Baifu and Kunpeng Fund, with Guangzhou Industrial Investment and Yihe Capital participating. Existing investor Trend Investment also made an oversubscribed follow-on investment. This is the company's third funding round in one month. The money will support R&D and validation for tactile-data representation training, iterate the SynaTac product line, and accelerate applications in robot contact-policy training and on-device deployment.

9/29Tue
  1. 量子位36

    Knowin Intelligence raises hundreds of millions of yuan in an Angel+++ round as GLOW model and KNOWIN-X1 move toward mass production

    Consumer embodied-AI company Knowin Intelligence has raised hundreds of millions of yuan in an Angel+++ round led by a JD.com-affiliated fund, with follow-on investment from Zhengxingu Capital, Nanshan Strategic Emerging Industries Investment, and Walden International. Total funding since founding exceeds RMB 1 billion. Its GLOW generative embodied model achieved a 62.2% average success rate across 18 RoboDojo simulation tasks, 40 percentage points above the GPT-6 (Robocurve) baseline; it ranked first among the listed single-policy models on LIBERO-Pro with 86.7%.

  2. 量子位82

    AMD to acquire Fei-Fei Li's World Labs for $8.2 billion in an all-stock deal; Li to become chief scientist

    AMD announced an all-stock acquisition of Fei-Fei Li's World Labs for $8.2 billion. The deal is expected to close by the end of 2026, subject to regulatory approval. After closing, Li will join AMD as executive vice president and chief scientist, reporting directly to Lisa Su; co-founders Justin Johnson and Ben Mildenhall will continue leading the team as it joins AMD.

    Why it matters: The full deal details and the companies' year-and-a-half collaboration are laid out, helping readers understand why a chipmaker would acquire a spatial-intelligence team.

  3. Ars Technica · AI60

    Experts raise concerns about Nvidia AI chip sales to China and its influence on Trump

    China's Ministry of Industry and Information Technology is considering easing restrictions by asking Alibaba and ByteDance to submit plans to buy Nvidia RTX Pro 5500 chips; ByteDance is reportedly planning an order of one million. The report says Jensen Huang has become Trump's most influential adviser on technology issues, and U.S. Treasury Secretary Scott Bessent said Trump and Huang are fully aligned. Some experts worry Nvidia's profit motive is influencing U.S. AI safety policy. Nvidia says these are outdated gaming chips released nearly five years ago and that easing restrictions would only benefit U.S. companies burdened by the limits.