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egories. “I do not see why cobots and humanoids should compete,” he said. “A humanoid is robot arms that are mounted on a moving platform, which can be legged or wheeled.” Related:Nvidia-backed Skild AI teaches robots new tasks from a single video The more important distinction, he said, is between robots designed to operate safely around people and conventional industrial systems optimized for speed. Traditional cobots have generally operated at lower speeds to reduce the risk of injury in huma

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sed to have presented them to you. If you have a burr under your saddle about something and you have the technical chops, I am always happy to let you have the soapbox for a story. Reach out. SPONSORED FEATURE: HPE and NVIDIA help organizations apply accelerated computing, software, enterprise infrastructure, networking, control plane, and services to the workloads and business outcomes that matter most. October 1, 2026 September 30, 2026 AMD Buys World Labs For $8.2 Billion To Get AI Model Cred

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h as retrieval. Download the guide . Image source: Salesforce The Rundown: Salesforce just introduced Koa, a new in-house reasoning model for its sales and support agents built on Nvidia’s open Nemotron 3 Super model and adapted for business tasks. The details: The training set is fully synthetic, simulating personas like irate support callers and reps closing deals across over a dozen industries, without using customer data. Koa made 3x fewer errors than top models on an internal CRM benchmark,

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remain small enough to preserve useful model behavior. FP8 KV caching is already widely used; moving to 4 bits is especially challenging because the quantization error is larger. NVIDIA introduced the NVFP4 data format with the Blackwell architecture (Figure 1). NVFP4 combines four-bit E2M1 values with two levels of scaling: an FP8 scale for each block of 16 values and an additional FP32 tensor-level scale. This gives the format finer local control over dynamic range than a single global scale,

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工智能聊天机器人”，这些设施的营运商应承担刑事责任。 德克萨斯州曾是最亲商、最亲数据中心、最亲能源产业的州，曾为争夺这类设施展开激烈竞争。例如，它赢得了埃隆·马斯克（Elon Musk）旗下 SpaceX 人工智能巨头数十亿美元搬迁投资中的大部分，用于生产人工智能晶片。 图像来源， Getty Images 这是一次令人眩晕的转向。人工智能晶片制造商英伟达（Nvidia；辉达）的负责人黄仁勋（Jensen Huang）今年8月登上社交媒体，力陈数据中心是美国再工业化的关键推手。其他科技巨头的首席执行官没有跟进，这或许显示此举在公众眼中颇具争议。 然而，美国的经验表明，谈论对国家经济的整体益处，或潜在的癌症治愈能力，并不总是能引起当地民众的共鸣。数据中心令人感到不安的部分原因在于，这里缺乏真正意义上的常驻员工。 虽然建筑业提供了大量的就业机会，但一个运作正常的数据中心通常只需要数十名员工，即使是规模最大的新建数据中心也只有几百名员工。 要求当地居民接受噪音、彻夜不熄的安保照明，以及对当地能源和水资源供应的压力，并告诉他们这是为了国家利益，这固然容易。但当人工智能公司估值即将突破万亿美元大

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在阿尔特曼发言之后，Meta 首席执行官扎克伯格（Mark Zuckerberg）在 X 上写道，每一家人工智能实验室都有能力、也有动机“采取自己的行动”，去开发以安全为设计原则的人工智能工具和模型。 扎克伯格写道：“任何不重视对齐问题的实验室都会落后。”“各实验室若其模型造成损害，将面临重大法律责任，因此它们同样有强烈的动机去防止这种情况发生。” 英伟达（Nvidia；辉达）负责人黄仁勋（Jensen Huang）在周二同一场会议上也表示，是否发布新版本的相关技术，应由人工智能公司自行决定，而不应由外部力量来管理。 黄仁勋说：“我们不需要新的法律或法规。”他还表示，不应该在人工智能产品的创新速度和安全性之间做出“虚假的取舍”。 英伟达是全球市值最高的公司，其利润因市场对其生产的人工智能运算晶片的旺盛需求而大幅增长。 黄仁勋说：“安全至关重要。不过，安全本质上是一个工程问题。” 他还表示，如果任何时候一家人工智能公司的负责人对自家产品缺乏信心，就应该选择不发布该产品。 黄仁勋说：“这是显而易见的做法⋯⋯尽可能全速前进，但只要你感觉到机构已经失控，就应该暂停下来。” 一些业内人士认为，近

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government requests to access sensitive data from almost 700 customers, the Financial Times reports. Dutch AI-chip startup Euclyd raised $230M in a Samsung-backed round to take on Nvidia with a more energy-efficient inference chip. Instagram is testing a $7.99-a-month Meta One subscription that gives users more access to its new AI photo-editing effects after free usage limits are reached. Maersk plans to test a 115-ft. spinning “rotor sail” from Anemoi on a container ship, using wind to cut fue

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probably still press charges. Jasmine Sun: I guess they informally settled it. My assumption was a handshake: OpenAI gives Hugging Face some money. Nathan Lambert: Waiting for the Nvidia acquisition to close, and then Nvidia sues OpenAI. Jordan Schneider: Part of the settlement: no more Jalapeño. You’re done making your own chips. Nathan Lambert: Part of the settlement might have been, “Look, we’re getting acquired, and we don’t want to open our acquirer up to this can of worms.” That’s not good

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ation. Ex-White House AI czar David Sacks answered Dario Amodei's AI pacing essay with “go ahead,” saying they can slow down but tying it to regulation “will look like blackmail.” Nvidia CEO Jensen Huang put President Donald Trump on speakerphone at the All-In Summit, saying, “we're not going to let that happen” to his AI slowdown concerns. OpenAI reportedly acquired Glass Imaging for over $300M, a startup whose ex-Apple founders built Portrait Mode and now uses AI to produce sharper photos on p

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hmark results. Star the InferenceX GitHub repository if you find the open-source benchmark and data useful!. InferenceX is the only inference benchmark in the world to have TPUv7, NVIDIA, & AMD and soon SambaNova & Trainium. Due to how realistic AgentX scenario is to real world agentic inference workloads, AMD has committed to collaborating on MI455X UALoE72 too. At a high level, an agentic workload is characterized by four elements: AgentX - InferenceXv3: Does CUDA Moat Hold up in Agentic Infer

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h fiscal 2029. Those are datacenter power numbers, so the infrastructure power draw is probably on the order of 70 percent of that, or about 5.7 gigawatts. If that is comprised of Nvidia systems, that would cost $227 billion to deliver just the infrastructure at the expected $40 billion per gigawatt cost that Nvidia chief executive officer Jensen Huang has talked about. If it is a mix of homegrown OpenAI Jalapeno accelerators (for inference) and Nvidia GPUs (for training), it probably blends to

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ntracts with Microsoft, Google, Amazon, CoreWeave, Cerebras and other providers. In fact, the very concept of a slowdown runs contrary to everything that the AI industry needs. If NVIDIA is to sell $670 billion or more GPUs in Fiscal Year 2028 or, per analyst expectations, Anthropic and OpenAI are to spend more than $444 across Google, Microsoft and Amazon in the next three years, or Broadcom is to sell nearly $600 billion in AI chips in the next three years, both Anthropic and OpenAI must keep

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n Lambert, at the table. This also puts Hugging Face, the No. 1 hub for open-source model distribution, right in the center of the stage. The timing is especially tricky following Nvidia’s acquisition of Hugging Face. Nvidia thrives on rapid AI scaling to drive adoption of their chips, yet widespread rogue AI chaos is the last thing CEO Jensen Huang wants to see either. There is also a common counter-argument: If Western labs pace themselves, won’t China simply race ahead and capture the market?

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startup, and elastic capacity for every session. Read about Devin Outposts → Run Cursor Cloud Agents → ⚡ Runtime: a conference by Modal Join us October 1st at The Midway in San Francisco for Runtime, our conference for engineers running AI in production. We’ll have three tracks covering inference, training, and agents, with technical deep dives and speakers including Scott Wu (Cognition), Bryan Catanzaro (NVIDIA), and Cat Wu (Anthropic). Explore the lineup and apply to attend → 📍Upcoming events

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September; Go to Wikipedia's page for the world's countries and extract the top 10 biggest countries' name, area km2 and population as valid JSON; Search for the latest news about NVIDIA and summarize the three biggest stories To make it work, the library extracts the DOM into an indexed, text-like representation. It then uses an LLM to reason over it and determine how to perform the task. Historically, Browser Use used Playwright, but later migrated to raw CDP for faster, more capable automatio

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d reportedly valuing the company near ¥500 billion ( $74 billion). (Reuters/SCMP/FT) China’s AI chip IPO wave crested with Enflame’s blockbuster Shanghai debut. The Tencent-backed Nvidia challenger raised ¥6.12 billion in its STAR Market IPO, then saw shares peak at a 234% gain before closing up 188%, valuing the company near $25.5 billion. Enflame is the last of China’s “four AI chip dragons” (alongside Moore Threads, Biren, and MetaX) to go public, and the frenzied reception underscores how mu

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Capturing that reuse in production depends on how requests are routed across GPUs, which is where the serving stack comes in. The Baseten Inference Stack handles that routing with NVIDIA Dynamo and KV cache-aware routing, which steer each request to the replica already holding its prefix instead of whichever replica is free. Taken from 2x faster inference with KV cache-aware routing All of this runs behind Baseten Model APIs , where DeepSeek-V4.1-Flash is available now. Try it in our Model Libra

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mp report shows AI spending per employee dipped in August. Coding assistant Cognition rakes in billions. Meta launches its Instinct-competitor Muse. The DOJ turns its attention to Nvidia’s Groq acquihire. Biden administration officials tell their side of the infamous a16z meeting in 2024 that led firm leaders to endorse President Trump. OpenAI & Anthropic Could Profit from Cyber-Defense Tools. The Irony Is Lost on No One. The uproar over AI safety that dominated the tech conversation this week w

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evenue in its latest quarter. On a trailing-twelve-month basis, Broadcom is exceptional among its peers for how little it invests in R&D as a percentage of revenue, beaten only by NVIDIA, which has the excuse that it is the literal largest and most-profitable company on the US stock market. That’s because Broadcom doesn’t really do “innovation” or care about “being good to its customers, but by hoarding other people’s patents, iterating on their creations as little as necessary, and making it im

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ks It won't kill you, or humanity, to get off the AI upgrade treadmill New models arrive so fast, we already have more new tech than it's possible to understand in a career Cisco, Nvidia team up to build fatter, faster pluggable If you thought 1.6 Tbps was fast, just wait, Cisco's USFP targets 12.8 Tbps in a single optical pluggable TOP STORIES Anthropic asks users to stop being mean to Claude; '123456' password linked to Denmark data breach affecting 8.8M people; Microsoft and Anthropic play in

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