#数据/训练

GDC November 2026 survey shows 40% of developers using generative AI

The GDC 2026 survey of over 2,600 game industry professionals across 69 countries found that 40% use generative AI tools as part of their job, up from 36% last year, with usage rising from 37% to 44% outside the US while US usage stayed within the margin of error at 38%. The report also notes 34% of respondents were laid off in the last two years, 54% of those laid off remain unemployed, and 62% of educators allow, encourage, or require students to use generative AI in game development coursework. Godot is used by 6% overall and 11% of indie developers.

Amazon Threat Intelligence observes threat actor campaigns with ARTEX AI agents

Amazon Threat Intelligence reports that between Oct. 3 and Nov. 5, 2026, its MadPot decoy sensors captured requests from ARTEX agentic AI penetration-testing agents that carried their own campaign records, including a large-scale AI credential theft operation in which stolen keys paid for the LLM inference used to hunt more keys, and a campaign against two cryptocurrency exchanges using real-time deepfake injection to bypass KYC checks. Amazon assesses with moderate confidence that ARTEX was used and that the activity comes from disparate Chinese-nexus threat groups, based on simplified Chinese prompts, China time-zone configurations, targeting and tooling. The post shares IOCs and argues that while the techniques were not new, agents change attacker speed and persistence, making basic hygiene such as removing default credentials and exposed secrets the most effective defense.

Europa, the EU's open AI model, is aiming for nearly 1T parameters

Domyn, the Milan-based company leading the EU-backed EUROPA consortium, reported in a November 12, 2026 technical post that it ran training trials for a model with 951.9 billion parameters on the JUPITER supercomputer in Jülich, Germany, more than double the Commission's 400 billion minimum. Using a mixture-of-experts design with 384 experts (8 active per token, 32.8 billion active parameters), Domyn says it raised throughput from 90 to 1,293 tokens per second per GPU through software fixes contributed back to PyTorch and TorchTitan. The post describes only trials, not a completed training run, and EUROPA's weights, license, training data and release date remain unpublished.

Microsoft Patent Tips Using Idle Gaming PCs to Train AI in Exchange for Rewards

Microsoft Technology Licensing filed a 2025 patent, published last week as US-20260349820-A1 and titled "Opportunistic Micro-training on Edge Devices Using Spare GPU Utilization," describing an opt-in system that uses idle GPU cycles on gaming PCs for AI training, similar to Folding@Home. The system would monitor memory, CPU, GPU, temperature and power draw to find cool idle periods, track completed work, and issue credits redeemable for use of the resulting AI model, free software or cash, with manual start/stop and usage limits.

China builds 800MW AI data center campus to rival US Stargate project

According to a SemiAnalysis report, China is building an 800MW AI data center campus in Inner Mongolia that could challenge the economics of America's Stargate project. Envision built the first 120 MW of its Galaxy AI data center campus in under a year, at a cost researchers put at one-fifth of comparable US projects, after visiting the site in September. To secure the large amounts of electricity AI data centers need, Envision is building its own wind farms and battery storage alongside the computing facility.

OpenAI reassigns robotics researchers to other teams as general-purpose models might make specialized robotics AI unnecessary

OpenAI is disbanding its robotics team again, moving robotics researchers to Mark Chen's main research team and the applied robotics and hardware teams to Greg Brockman's Applied organization, according to Fortune. The company reportedly believes general-purpose models like GPT-6 Astra can control robots directly, citing an Nvidia study where an Astra-powered agent reached a 74.8 percent success rate on simulated robotics tasks versus 51 percent for the best specialized models, and a StationeryBench comparison where Astra fully completed 7 of 100 tasks while Ai2's MolmoAct2 completed none. OpenAI shut down its robotics division in 2020 and rebuilt it in 2024, with CEO Sam Altman reportedly targeting a first public robot demo for 2027.

Amazon has a plan to index the world’s online shopping data

According to Reuters, Amazon plans a "World Product Graph" project to build a vault of data on every product sold anywhere online, including items Amazon doesn't sell, and make it available through its own site. The effort aims to keep shoppers and AI agents on Amazon for product research and to give its Alexa for Shopping assistant more data; an internal document reportedly cites an October 1st, 2027 release date, though Amazon said draft documents don't necessarily reflect current plans.

The Chinese city powering the country's AI ambitions with data farms

In the grasslands of Ulanqab in Inner Mongolia, large data centers are being built rapidly as China seeks the computing power needed to compete with the United States for global AI dominance.

Export-banned Nvidia chips are behind China’s most powerful AI models — uh-oh, Jensen!

Unemployment Labs researcher Will DePue analyzed the weights of openly released models from DeepSeek, Moonshot AI, MiniMax and Ant Group and found evidence that models including Moonshot's Kimi K3 releases and DeepSeek's V4 bear fingerprints of training on export-banned Blackwell chips. Epoch AI estimates about two million advanced chips entered China in 2024 and 2025 through schemes hiding their final destination, though the chips could have been in offshore data centers such as those in Malaysia, which imported an estimated 275,000 Nvidia AI accelerators in that period. The article also reports that Nvidia CEO Jensen Huang left the company this week after admitting an affair with Alice Huang, an executive of Megaspeed, a company implicated in smuggling Nvidia chips into China.

Former OpenAI researcher says he found Nvidia Blackwell fingerprints hidden inside six Chinese AI models

Will DePue says weight-initialization patterns in six Chinese models released since April 2026 match Nvidia's Blackwell core counts (148 or 152), while earlier models like DeepSeek-V3 and Kimi K2.5 show Hopper signatures; he says OpenAI and Anthropic researchers independently confirmed the findings and has published verification code on GitHub. He maps DeepSeek-V4-Flash and MiniMax-M3 to B200/B300 chips and DeepSeek-V4-Pro, Kimi K3, Kimi K3.1-Pro and Ant Group's Ling-3.1-flash to GB200/GB300, estimating the five training runs used about 12,000 Blackwell GPUs costing over half a billion dollars. The report notes the fingerprint shows only which hardware initialized the weights and does not by itself prove smuggling or a violation of US export law, since capacity can be rented outside China.

Featured coverage of this story: 《Chinese frontier AI models carry the fingerprint of export-controlled GPUs》

How AI Is Helping Care Teams Get Patients the Right Care, Sooner

NVIDIA describes how healthcare systems and startups use AI to reduce routine chart work, citing Dyania Health's Synapsis AI, a clinical reasoning engine that runs on NVIDIA-accelerated computing inside a hospital's firewall and surfaces source-traceable clinical signals for clinician review. Cleveland Clinic used it to support a study of more than 7,800 aortic valve replacement patients from 2005 to 2021, building a predictive model of valve deterioration and reintervention risk at three, five and ten years.

TimeNet challenge: An online hackathon for time-series AI

The TimeNet challenge is an online hackathon where participants pick a time-series problem, onboard a dataset in TimeNet format, and train or fine-tune a Temporal AI Model such as OpenTSLM for tasks like forecasting, classification, anomaly detection or reasoning. Round 1 launches November 11 and submissions close November 22 at 11:59 p.m. PST, with judging the following Monday and more rounds to come. Teams of 2–4 can apply for $100 or $500 Nebius vouchers per round, and winning teams receive prize credits starting at $25,000 from AWS and Google Cloud, with terms and conditions applying.

Notion AI chat transcripts exposed in Fireworks AI breach

Notion said a Fireworks AI incident affected under 1% of Notion workspaces, with the impacted dataset including Notion AI chat transcripts used for the Insights feature that were largely unattributable to users or workspaces. Notion disconnected from Fireworks on 3 November, deleted its data there, disabled Insights, and stopped serving open-weight models through Fireworks; it contacted affected customers on 9 November. Affected customers can retrieve the data in their workspace and are advised to treat it as exposed and rotate any sensitive information, passwords or API keys pasted into Notion AI during the incident timeframe.

Mirendil raises $1B Series A led by Kleiner Perkins to democratize AI R&D

Mirendil announced a $1B Series A led by Kleiner Perkins and Clearlake Capital, with participation from Battery Ventures, Doerr Capital, Gil & Co, Google, M13, Pear VC, S32 and others. The company says one researcher working with agents pretrained Mirendil-Base, a competitive coding model, from scratch in 3.5 months with less than $10M in compute, and it was then post-trained into Fern, which holds up to 10M tokens of context. Lor, now in private beta, lets hundreds of agents write code and run experiments for days at a time, and Mirendil says it runs on Lor every day.

US companies are seeking fewer foreign developers, and more "AI engineers"

Department of Labor LCA data show software-developer H-1B filings fell 36% from fiscal 2022 to fiscal 2026 (October–June comparisons), with new-hire filings down 46%, while filings carrying AI job titles reached 1.8% of all certified H-1B filings in fiscal 2026. AI-titled filings rose 80% for titles spelling out "machine learning" or "artificial intelligence," and shorter titles such as "AI engineer" supplied 92% of the latest year's increase, with employers outside the five largest accounting for 85% of AI-titled filings. Microsoft's software filings fell 44% and Google's 33%, while Nvidia's nearly quadrupled and Amazon's rose 34%.

More game developers are starting to use generative AI

The GDC Festival of Gaming's latest annual industry survey found that 40 percent of developers say they use generative AI as part of their job, up from 36 percent in 2025, with higher usage among free-to-play developers (58 percent) and mobile-only studio workers (70 percent). Respondents most often used AI for research and brainstorming (73 percent), data analysis and summarization (62 percent), and code generation and debugging (56 percent), while 22 percent used it for concept art and 8 percent for production art or final game assets. The survey also reported that 34 percent of respondents said they had been laid off sometime in the past two years.

SoftBank’s billion-dollar loss may have put a cap on AI’s natural gas ambitions

SoftBank reported a $7.1 billion quarterly loss on Tuesday, with more than half stemming from losses on power-generating equipment after it paid nonrefundable deposits on over 13 gigawatts of gas turbines, nearly 50% more than it needed. The over-ordering had helped SB Energy secure turbines quickly amid queues stretching into the early 2030s, but much of the deposits are now considered worthless. The magnitude of the misplaced bet, over $3 billion, reflects the electricity mania around AI, though the losses are unlikely to trigger mass cancellations of gas plants.

FreeBSD Developer AI Survey Results

A FreeBSD developer survey on AI and LLM use drew 140 responses, with 88% wanting the Project to adopt a policy (49% a formal written policy, 39% light guidance) and 84% wanting AI use disclosed. On AI-assisted code, 35% said it must be disclosed, 25% that it must be reviewed more strictly than human code, 22% that it should be treated like any other contribution, and 16% that it should be rejected outright. The most-requested safeguards were mandatory human review (78%) and mandatory disclosure (69%), while 75% were somewhat or very concerned about copyright and licensing.

Vercel Data Shows AI Models Have Six-Week Half-Life in Production

Vercel's November 2026 AI Gateway Production Index reports that production AI models have an effective half-life of about six weeks, with more than half of October's language-model requests going to models under 60 days old and most teams abandoning a model within four weeks of its peak. Decision models reached 26% of gateway requests in October at just 0.53% of spend, voice usage rose from 4% of paid teams in July to 11% in October, and Anthropic and OpenAI were nearly level at 54 and 55 of every 100 paid teams. Image and video spending hit records, with OpenAI's GPT-Image-2.5 Sunburst leading image spend and ByteDance's Seedance 2.5 leading video spend for a third month.

The attendee’s guide to the AWS re:Invent 2026 AI/ML track

AWS will hold re:Invent from November 30 to December 4, offering over 2,000 learning sessions, with more than 140 in the AI/ML track spanning breakouts, chalk talks, builder sessions, workshops, code talks, and lightning talks. The guide organizes AI/ML sessions around the AWS AI stack—global infrastructure, AI chips (Trainium and NVIDIA GPUs), data foundation, models/training/inferencing (Amazon Bedrock and SageMaker AI), agent development and management (AgentCore), and agentic solutions—plus sessions on trust in agents, sustainability, and Local Zones and AI Factories. Breakout sessions are recorded and posted to the AWS Events YouTube channel a few days later, while other session types are live and not recorded.

US corporate AI spending hits a new high in October, but growth slows to 1.65 percent

The Ramp AI Index, tracking AI spending among business customers of financial services provider Ramp, rose 1.65 percent month over month in October 2026 to a new high, with the top one percent of companies by AI spending paying a median of $10,200 per employee per month (up nine percent) while a typical company spent just $16.32. Spending on OpenAI grew 2.1 percent month over month versus 0.5 percent for Anthropic, and the average price per million processed text tokens dropped 21 percent last month. Software development teams accounted for 72 percent of tracked AI spending, while customer support's share climbed from 0.8 percent in June to 13.3 percent in October.

With $720M round, Britain’s Fractile gets a leg up in the race for AI chips

Fractile, a British startup developing AI chips, has raised a $720 million Series C backed by Britain's Sovereign AI Fund, with the British government stating the valuation was "over £5 billion." The round was led by Thrive Capital, Founders Fund, Lightspeed Venture Partners and Redpoint, and Fractile pairs its hardware with a machine learning compiler in a full-stack approach. Its design stacks DRAM on top of each chip to try to bypass the usual memory-capacity tradeoff, and CEO Walter Goodwin said the funding will let the startup ship its first chips and systems next year.

Anthropic's IPO roadshow video

Anthropic's IPO roadshow video includes previously unreleased details on its business, notably a section with co-founder Tom Brown on its "Approach to compute," describing how Claude is trained and served across AWS Trainium, Google TPUs, NVIDIA GPUs and AMD GPUs. Brown says a multi-chip strategy was an early unconventional bet, and that this year Claude got running on AMD GPUs in three days with basically no human intervention, porting or writing almost 100% of the kernels. He also describes compute multipliers as a stacking competitive advantage that could accelerate toward recursive self-improvement.

Plurai wants to help AI agents work better using the same approach that helped get self-driving cars to roads

Plurai, founded by former Nexar engineers Ilan Kadar and Elad Levi, has raised $13 million in seed funding led by Team8 to build a simulation layer for AI agents, using synthetic data based on a company's own systems to prepare models for edge cases. The platform creates a digital twin of a company's knowledge base and tools, maps possible agent flows, and uses that to evaluate and fix failure modes, working alongside tools like Claude Code, Codex, Copilot and Cursor. Kadar says the company's real promise is post-training small open-weight models tailored to customers, with tests alongside Nvidia and Nebius showing performance above mid-tier frontier models at lower cost.

New Indian mega library rocked by scandal over 'AI-generated books'

The Madras High Court has ordered an anti-corruption investigation into allegations that a newly opened public library in Coimbatore, Tamil Nadu, bought hundreds of books suspected of being AI-generated, and has frozen bank accounts linked to a publisher accused of supplying them. Novelist Perumal Murugan raised concerns about false information and questionable authorship in nearly 1,800 books in the Periyar Arivulagam library's Tamil section, and more than 160 writers, researchers, artists and publishers have signed a joint statement calling for an independent inquiry. The state government has ordered an internal audit and removed 523 books from Chennai's Connemara Public Library, while the DMK denies blame and calls the allegations politically motivated.

US data brokers are selling half a billion dollars in RL training environments to Chinese AI labs

A ChinaTalk investigation found that at least nine US data firms, including Mercor, Surge AI, AfterQuery and Turing, are selling roughly $500 million worth of training data, some in the form of reinforcement learning environments, to Chinese AI labs. Chinese labs reportedly buy the same products previously sold to Anthropic or OpenAI to skip costly in-house development, and combine them with distillation from US models to close the gap with less compute. The authors argue the Bureau of Industry and Security should apply existing export controls to dual-use environments such as coding and biology, while noting Chinese labs still trail US peers by at least a few months.

Piggybacking to the Frontier

American data vendors including Mercor, Surge AI, Turing, AfterQuery, Pareto, Abundant, DeccanAI, Eaglepoint and Invisible sell reinforcement learning environments and other data to Chinese AI labs, with AfterQuery reportedly drawing half of its $100 million ARR from Chinese business. The article explains how RL environments work, argues the sales let Chinese labs save compute and piggyback on American post-training recipes, and proposes BIS export restrictions and DoW procurement rules while noting the harms are likely limited.

[AINews] Mercor $750m Series D at $20B valuation, $3B run rate

Mercor raised a $750M Series D at a $20B valuation after reaching $3B in annualized revenue, up from $1B in February and $2B in June. The company reports 5 million experts and cites a TAM of more than 800 distinct U.S. occupations whose workflows models have yet to be evaluated against. Mercor also says it spends 3x as much on inference as on employee salaries.

Render is adding Anthropic, TypeSafe AI and others to its Subprocessors

Render's subprocessors list now includes Anthropic, PBC and TypeSafe AI, Inc. under the purpose "AI / Machine Learning," both based in the United States, alongside Grafana Labs (Monitoring / Observability) and Temporal Technologies Inc. (Workflow Orchestration). The page also lists AWS, Google Cloud Platform, Cloudflare and ClickHouse Inc. as hosting/cloud platform subprocessors.

Sakana AI may go public in 2027

Sakana AI may hold an IPO as early as next year, reportedly considering the Tokyo Stock Exchange, Nasdaq or both, with Nikkei reporting a market capitalization that could exceed Mercari's ¥680 billion ($4.3 billion) and Goldman Sachs hired as an adviser. In an X post, Sakana AI said it has no near-term IPO plans and that its priority remains building a generational AI company serving as Japan's national AI champion. The company raised ¥32 billion ($200 million) in Series B funding and said on Oct. 26 that it is training its own LLM from scratch, with its planned Sakana Sawara series to include a large and a small model.

AI Users have workdays up to 90 min longer than non-users

ActivTrak's Productivity Lab reports that AI users have workdays up to 90 minutes longer than non-users. The finding is published at activtrak.com and discussed on Hacker News.

Ukraine’s fiber-optic drones get squeezed by AI data center demand

Fiber-optic drones, which are immune to battlefield jamming because they are physically connected to operators by miles of cable, have become a common weapon in Ukraine, leaving tangled cables across trees and fields. Importing the fiber-optic material from China has grown more costly as drone warfare needs compete with global AI data center demand for the same limited supply, prompting Ukrainian drone makers to adapt. Russia first deployed unjammable fiber-optic drones in 2024 to repel Ukraine's incursion into Kursk Oblast, and Ukraine quickly followed; both countries have relied on Chinese suppliers for drones and components, with finished spools holding enough cable for ranges of dozens of miles and sometimes up to 62 miles (100 kilometers) in extreme cases, according to The Insider.

Fireworks AI security breach impacts Notion and their customers

Notion says less than 1% of its workspaces may have been affected by a security incident at vendor Fireworks AI, which may have exposed unattributable Notion AI chat transcripts used for the Insights feature. Notion disconnected from Fireworks, deleted data in its system, halted training runs, and disabled Insights; affected workspace owners can review the data in their workspace. Notion recommends treating the data as exposed and rotating any sensitive credentials pasted into Notion AI during that timeframe.

Tell HN: Notion AI chat sessions have been exposed via Fireworks AI hack

A Notion email to affected customers says a security incident at vendor Fireworks AI may have exposed data, and that Notion shut down all connections to Fireworks' systems as a precaution. On November 6 Fireworks notified Notion that malicious actors may have accessed potential customer data, and on November 8 confirmed a new dataset that included unattributable Notion AI chat transcripts used for the Insights feature, without labels identifying the author or workspace and without tool call results. Notion says the Insights feature has been disabled during the investigation and that it no longer serves open-weight models through Fireworks.

MIT-led team receives funding to develop next-generation alternatives to modern weed killers

MIT researchers will lead an effort of up to $53 million, awarded by ARPA-H under its STREAM program, to develop next-generation weed killers that help farmers and protect human health. The project, Precision Learning for On-target Weed control (PLOW), will use generative AI to predict chemical compounds or siRNA that disrupt the same plant enzymes targeted by glyphosate and other herbicides, with candidate molecules screened and then evaluated in greenhouse studies. The team also plans to develop living microbial systems that degrade agrochemicals before they reach food, soil, or waterways.

CoreWeave bond yield tops 16% as AI credit stress rises

CoreWeave's 2032 bond with a 9.625% coupon now yields above 16%, and its five-year credit default swaps spiked above 1,289 basis points Thursday before easing to around 1,155, per Deutsche Bank. Credit default swaps have also risen for Nvidia (up 76% in the last month), Broadcom (up 49%) and Amazon (up 44%), though their spreads remain low in absolute terms. Goldman Sachs estimates moratoriums under incoming Democratic governors in Ohio, Texas and Georgia could affect 45% of planned U.S. data center capacity.

Microsoft patent describes using idle gaming GPUs into paid AI training hardware

A VideoCardz report discusses a Microsoft patent describing the use of idle gaming GPU capacity for paid AI training. The item links to the VideoCardz article and a Hacker News discussion thread.

AI chip financing hits a wall

Investors who rushed to lend for the data-center buildout are now trying to offload loan portfolios at steep discounts, with GPU financings especially under pressure over fears the loans will outlast the technology's useful life, a person told Semafor. Bloomberg reported Friday that Dutch bank ING was looking to dump $500 million of data-center loans, including a $25 million chunk backing Stargate, the OpenAI, SoftBank and Oracle project. Goldman Sachs and Apollo have begun marketing a $40 billion chip financing deal for SpaceX, the largest of its kind, while Ares Management CEO Michael Arougheti said on an earnings call that his firm would pass on such deals because he does not know how to underwrite the decline and depreciation curves on that technology.

Fireworks.ai Update on October 2026 security incident

Fireworks.ai said its investigation into the October 2026 incident, assisted by Palo Alto Networks Unit 42, found impacts to account and billing information and, for a limited set of accounts, to secrets, datasets and incomplete models, with evidence linking the activity to a financially motivated group engaged in "LLMJacking." A third-party cloud provider hosting Fireworks R&D machines was breached on October 23, and on October 24 an unauthorized party used it to reach Fireworks development machines and run a workload that led to additional customer data impact; Fireworks detected the activity the same day and says it has not detected further successful unauthorized access since October 25. Fireworks has implemented hardening measures including credential lockdown, network isolation and tightened data access, and has disabled self-serve dataset uploads and downloads for Batch Inference and dataset-based training while Inference, Training SDK and Nexus remain ZDR by default.

Sleep wearables are training AI on your brainwaves without explicit consent

An investigation by Science with the Pulitzer Center's AI Accountability Network found that neurology companies have accumulated tens of millions of hours of EEG recordings from sleep wearables and some are using them to develop brain foundation models, despite initially failing to spell out that use in their privacy policies. Interaxon, maker of the Muse sleep and meditation headband, has trained an AI model on about 50,000 hours of EEG recordings and says it removes identifying information such as names, emails and addresses before use. Its Chief Marketing Officer Nadia Kumentas said the company aims "to use as much of that eligible corpus as possible."