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ives hyperscalers and datacenter operators the flexibility to add compute where power and space are available, while still treating multiple sites as part of the same training infrastructure. 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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at the evidence supports, debating it with researchers and builders, and explaining why it matters. We also make predictions each year and return to grade them. Past calls include NVIDIA failing to acquire Arm, transformers achieving leading results beyond language, and an open-source model surpassing OpenAI’s o1, which DeepSeek-R1 subsequently did. Let’s dive into the key stories This year, agents are doing valuable work in software and science, physical AI is learning how to act in the world,

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n Epyc 9006 SP7 “Venice” CPUs, which the chipmaker released in July. Anchoring the new systems is the ProLiant DL585a, a 10U server that can hold up to eight double-wide GPUs from Nvidia, AMD, or Intel and two of the latest AMD Epyc CPUs, which offer up to 256 cores each. The system also includes sixth-generation PCI connectivity. The server, which will be available in March 2027, is built to accommodate current and future power and thermal demands and address the growing token throughput and PC

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image, or text with audio. Neither model writes text. Each returns calibrated, typed answers in one forward pass with zero output tokens. The target is real-time decisions on the NVIDIA stack: DGX servers, RTX workstations, and Jetson edge boards. Is it deployable? Yes. Both checkpoints are on Hugging Face, load through Transformers, and have day-one llama.cpp support. The LFM Open License v1.0 allows free commercial use below $10 million in annual revenue. d1-omni-600M is an early research rel

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al times a week. Meta is rolling out Audio Balance and Mono Audio to its smart glasses, alongside broader availability of walking directions and phone-to-glasses location sharing. Nvidia’s stock hit a record high, putting it within reach of becoming the first company worth $6T, Bloomberg reports. Instagram is exploring a Plus-only “read-only” mode that blocks interactions and story viewing, but it remains an internal experiment with no confirmed launch. Elon Musk regained trillionaire status aft

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memory) with the sagemaker-distribution:latest-cpu SMD image, which is about 3.5 GB: Note: These numbers are CPU-only. GPU Spaces need their own placeholder Deployment requesting nvidia.com/gpu with the GPU image pre-pulled. Otherwise, GPU nodes stay cold, and at roughly 10 GB the GPU image costs far more to pull than the 3.5 GB CPU image. Note: Each warm node holds one EC2 instance in the Running state. For on-demand nodes, this is an extra cost of keeping the warm nodes up and running. For mo

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or larger, more distributed AI environments, the discussion offers a practical view of the networking challenges that emerge once one site is no longer enough. Watch the full interview below. 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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ng to be able to raise at all. This makes the $174 billion in debt that SB Energy needs to raise to fund its theoretical data center project with OpenAI — even when backstopped by NVIDIA — either horrendously expensive or impossible to complete, as does it mean that any future large, multi-gigawatt projects will add billions of dollars in interest payments to already-expensive debt. This all makes pontifications that data center spending will increase to $32 trillion by 2050 equal parts stupid a

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owered lie detector. ( MIT Technology Review ) 2 The only billionaires making money this year are in tech Tech fortunes now account for 36% of billionaire wealth. ( Bloomberg $) + Nvidia is on the verge of the first $6 trillion valuation. ( CNBC ) + SpaceX stock has made Elon Musk a trillionaire again. ( Gizmodo ) 3 Norway is planning the first national ban on smart glasses Camera-enabled glasses could be barred from public spaces. ( Guardian ) + Several other countries are also mulling bans. (

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data to work. There’s a lot of variation in maturity across our industry partners on synthetic data. When it comes to autonomous vehicles, commercial industry is investing a ton — NVIDIA is doing some things, and the technology is getting there. But applied to the sensors the Army has, that’s different from the commercial sensors on airplanes or new autonomous vehicles. Military sensors could be two or three years older, with completely different look angles, different biomes, different experien

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hone, but at least these ones will be checks price only $200; Google Messages rolls out new long-press menu with partial copying [Updated]. Our long non-copying nightmare is over; Nvidia Shield TV Pro is now $299 – a $100 price hike seven years after the Android TV box launched. Nvidia almost singlehandedly caused the RAM crisis, so I think the company should be giving these away free, not increasing the price by 50%; Pixel 10a gets a $100 price hike, now starting at $599. Oof, this one hurts; N

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工資誰最高？, 節目全長 1,37 更多短片結束 更多相關內容 習近平訪美晤特朗普：中美AI超級強國的雄心成為焦點2026年9月23日; 中國人工智慧工具「教導」研究人員製造生物武器2026年9月30日; 特朗普與習近平會面在即，中國的AI雄心正在烏蘭察布高歌猛進2026年9月23日; 美國科技巨頭呼籲放緩AI發展速度——中國怎麼看？2026年9月18日; Nvidia執行長黃仁勳駁「AI滅絕人類」憂慮：是「末日敘事」2026年9月21日; AI巨頭前僱員：同業「真誠恐懼」人類遭滅絕，西方必須與中國協調2026年9月13日 頭條新聞 中美AI軍事化背景下 BBC獲悉五角大樓正式停用 Anthropic 工具6 分鐘前; 台北市長選戰：蔣萬安的2028前哨戰，沈伯洋能否靠「洋流」突圍？8 小時前; 俄羅斯鼠疫實驗室人員死亡 美方稱「密切關注」4 小時前 特別推薦 中國開始打擊AI戀愛關係，是過度干預還是先見之明？2026年10月1日; 軍情五處警告：中國資助英國研究，成果交予北京間諜機關2026年9月30日; 中國人工智慧工具「教導」研究人員製造生物武器2026年9月30日; 「我喜歡證

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unning at once (sandboxes); Positioning: Observers place Beam around GLM-5.2 level (iScienceLuvr) and below DSv4 Flash on some benchmarks (critique). Nathan Lambert groups it with Nvidia and Thinking Machines as strong US releases that still trail Chinese counterparts (Lambert); Other open and specialized models:Aleph Alpha Kolibri: 78B total / 3.46B active, Apache 2.0, built for German and English. Self-reported scores are 96.9% AIME 2025, 84.3% GPQA Diamond and 66.4% SWE-Bench Verified (summar

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vives only as credential and voice-provider types in the API. Retell has none. Can the agent run on hardware, including a robot? Only LiveKit. It runs on ESP32, embedded Linux and Nvidia Jetson, so the SDKs behind a phone agent also power a speaker, a kiosk or a wearable. For robots, LiveKit streams camera, sensor and control data in the same room as the voice agent, and LiveKit Portal syncs frames with robot state, arbitrates control between operator and policy, and bridges ROS and LeRobot. Can

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udio, particularly for CUDA video decoding. Maintenance and dependencies. Media I/O involves a lot of dependencies: six major FFmpeg versions (4 through 9 at the time of writing), NVIDIA’s codec SDK for GPU decoding, and one library per image format (libjpeg, libpng, etc.), each with its own licensing rules about what we can ship. On top of that, none of them are pure Python dependencies: they’re all C/C++ libraries, which makes the build, the CI, and the releases much harder. All of this comple

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g is a multimodal model and Beam is text-only. Reflection was founded in 2024 by two former Google DeepMind researchers and has raised roughly $4.7 billion from backers, including Nvidia, Sequoia Capital, and Lightspeed Venture Partners, per PitchBook. Its last round valued the company at a $25 billion pre-money valuation . The startup has also been locking up compute — a key ingredient needed to train frontier models capable of luring customers away from Anthropic’s and OpenAI’s closed models,

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s could give Etched a cushion of as much as 3.5 years of runway. There are reasons why VCs are hot to own a piece of Etched. The four-year-old startup shows promise of challenging Nvidia. Not only did quant trading firm Jane Street lead the last $700 million round, it is also a customer that took delivery of an early system. Etched said in July that it had already secured $1 billion in customer orders, including the one from Jane Street, after manufacturing its test chip at a TSMC factory this s

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re installation, it examines AI agent skills, MCP servers, and CLI tools for malware, prompt injection, and credential theft using professional, open-source security scanners from NVIDIA, Cisco, Datadog, and the Open Source Security Foundation. The tool returns a clear verdict: safe to install or blocked, with the exact reason. It then installs only the verified version, preventing a different version from being swapped in between. A single check can also cover multiple AI agents, installing the

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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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ly. d1-3B scores 48.57 on the Decision Index v0.2.1 (public split), ahead of every model under 10B and on par with Decider 35B-A3B, a decision model 12x its size. It runs the full NVIDIA stack, from DGX in the data center to Jetson at the edge: d1-3B answers a question in 8 ms on an NVIDIA GeForce RTX 4090, 16 ms on a Jetson AGX Thor, and 26 ms on a Jetson AGX Orin. Even the Jetson Orin Nano runs it in 50 ms, fast enough for real-time decisions on the smallest edge hardware. d1-omni-600M is our

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