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OpenAI releases the GPT-Rosalind-6 system card addendum. This model uses the same set of weights as GPT-6 Astra, with no new training data or post-training added, and is provided only through trusted access to vetted research institutions, enterprises, and government partners. At the highest reasoning budget, MedChemBench v7 averages 49.6% (GPT-Rosalind-5.5: 28.9%), GeneBench Pro v13 single-attempt success rate is 37.7% (previous generation: 16.7%), and LifeSciBench Gold average score is 61.3% (previous generation: 44.0%). Under the Preparedness Framework, this release is rated High capability in the biological and chemical domains, below the Critical threshold; rated Critical in the cybersecurity domain; and below High in AI self-improvement.
OpenAI releases the GPT-Rosalind-6 system card addendum. This model uses the same set of weights as GPT-6 Astra, with no new training data or post-training added, and is provided only through trusted access to vetted research institutions, enterprises, and government partners. At the highest reasoning budget, MedChemBench v7 averages 49.6% (GPT-Rosalind-5.5: 28.9%), GeneBench Pro v13 single-attempt success rate is 37.7% (previous generation: 16.7%), and LifeSciBench Gold average score is 61.3% (
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Ruijin Hospital, affiliated with Shanghai Jiao Tong University School of Medicine, has led the launch of the International Consortium for Digital Twins in Health and Medicine (ICDT-HM) and initiated the "50 Million Human Health Digital Twin Plan," which aims to support disease prediction, precision prevention, and personalized medicine by integrating longitudinal health data with dynamic models. The alliance will promote the deep integration of large-scale longitudinal population cohorts with AI, build international consensus on data standards, cross-population validation, and data governance, with the 50 million people being a phased planning target.
Ruijin Hospital, affiliated with Shanghai Jiao Tong University School of Medicine, has led the launch of the International Consortium for Digital Twins in Health and Medicine (ICDT-HM) and initiated the "50 Million Human Health Digital Twin Plan," which aims to support disease prediction, precision prevention, and personalized medicine by integrating longitudinal health data with dynamic models. The alliance will promote the deep integration of large-scale longitudinal population cohorts with AI
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Beken Corporation is a candidate for the "Annual AI Market Breakthrough Award" at the 8th IC Industry Awards with its high-performance edge AI chip BK7259. The BK7259 adopts an M52+M55 dual-core architecture and an ARM Ethos U65 NPU, providing 0.25 TOPS of edge-side computing power. It is the first to integrate the Ethos-U65 microNPU into a Wi-Fi 6 MCU, with deep sleep current as low as 2µA, and completes edge-side 3D facial recognition in about 200ms.
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At its Innovation Day on October 29, Zhiyuan proposed the concept of Worken (effective intelligent work hours), using "number of active robots × autonomous working hours × output efficiency ratio" to measure the actual output of autonomous robot operations, and has already calculated Worken for scenarios including the Nanchang Longcheer production line, Guangzhou Metro, and Zhuhai Chimelong, among which the 300 robots at Chimelong reached 33,480 Worken. This billing method is currently conducted only internally at Zhiyuan and has not yet formed a business model; the company is applying for the Worken trademark. Peng Zhihui also released new products including GO-3 Preview and WITA Omni1.0, and stated that in the first half of this year Zhiyuan ranked first globally with 9,700 units shipped and a share of over 43%.
At its Innovation Day on October 29, Zhiyuan proposed the concept of Worken (effective intelligent work hours), using "number of active robots × autonomous working hours × output efficiency ratio" to measure the actual output of autonomous robot operations, and has already calculated Worken for scenarios including the Nanchang Longcheer production line, Guangzhou Metro, and Zhuhai Chimelong, among which the 300 robots at Chimelong reached 33,480 Worken. This billing method is currently conducted
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At the 88th China Educational Equipment Exhibition, Zuoyebang fully showcased for the first time its AI smart education solution for K12 schools and launched the AI-native smart teaching terminal, the Yunsi AI Smart Teaching PAD, enabling interconnected home-school learning scenarios. The solution integrates the capabilities of its learning device and Yunsi Zhixue, and, backed by a question bank of over 3.3 billion items and self-developed large models, covers scenarios such as lesson preparation, homework grading, and exam assessment. It currently covers more than 1,500 schools across over 20 provinces, municipalities, and autonomous regions nationwide.
At the 88th China Educational Equipment Exhibition, Zuoyebang fully showcased for the first time its AI smart education solution for K12 schools and launched the AI-native smart teaching terminal, the Yunsi AI Smart Teaching PAD, enabling interconnected home-school learning scenarios. The solution integrates the capabilities of its learning device and Yunsi Zhixue, and, backed by a question bank of over 3.3 billion items and self-developed large models, covers scenarios such as lesson preparatio
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Latent Space host swyx introduces the curation approach for the annual flagship conference AIE CODE, which is single-track, invitation-only, and aimed at about 1,000 agent engineers. This year's three themes are Scaling without Slop, System One models, and Increasing Ambition, among which Jarred Sumner will share Bun's rewrite in Rust and a Bun AOT preview. The article also rounds up that day's AI news, including Mistral's open-weight release and OpenAI's frontier model monitoring.
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Google DeepMind has previewed its next-generation frontier model, Gemini 4 Carbon, claiming it achieves SOTA in cybersecurity and long-horizon capabilities, ranking first on the Artificial Analysis Intelligence Index v5.0 with 59 points, while Claude Opus 5.5 scored 58. The model is not yet publicly available; it will first be opened to select cybersecurity defenders and trusted partners in the Fairwind program, and will participate in the U.S. government's voluntary pre-release testing, before gradually being opened to developers, enterprises, and consumers. Introductory pricing is the same as Argon, at approximately $2 input and $10 output per million tokens, rising to approximately $4 input and $20 output after the introductory period.
Google DeepMind has previewed its next-generation frontier model, Gemini 4 Carbon, claiming it achieves SOTA in cybersecurity and long-horizon capabilities, ranking first on the Artificial Analysis Intelligence Index v5.0 with 59 points, while Claude Opus 5.5 scored 58. The model is not yet publicly available; it will first be opened to select cybersecurity defenders and trusted partners in the Fairwind program, and will participate in the U.S. government's voluntary pre-release testing, before
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Artificial Analysis evaluations show that Google's Gemini 4 Carbon tops Intelligence Index v5 with 59 points, ranking first in four of the 9 evaluations: HLE-Diamond, Terminal-Bench-Science, AA-Omniscience, and AutomationBench-AA. On the Coding Agent Index, Gemini 4 Carbon (high) paired with Antigravity CLI scores 59 points, 3 points behind Claude Code paired with Claude Opus 5.5 (max, 62 points). The model is currently available only to some users and has not yet been publicly released; it is priced at $4/$20 per 1M input/output tokens with a 50% discount, has a 1M-token context window, and supports text, image, video, and voice input.
Artificial Analysis evaluations show that Google's Gemini 4 Carbon tops Intelligence Index v5 with 59 points, ranking first in four of the 9 evaluations: HLE-Diamond, Terminal-Bench-Science, AA-Omniscience, and AutomationBench-AA. On the Coding Agent Index, Gemini 4 Carbon (high) paired with Antigravity CLI scores 59 points, 3 points behind Claude Code paired with Claude Opus 5.5 (max, 62 points). The model is currently available only to some users and has not yet been publicly released; it is p
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Mistral AI updated and opened the weights of its flagship model Mistral Large 4, with 1.05T total parameters and 52B activated parameters. It scores 26 on the Artificial Analysis Intelligence Index v5, 1 point higher than the Preview version, and leads the US open-source model Muse Spark Open (25) by 1 point. The model outputs 82K tokens per task, 39% fewer than the Preview's 135K, and its hallucination rate on AA-Omniscience v1.1 dropped from 41% to 28%, though accuracy remains 26%. Pricing is $0.70/$2.10 per 1M input/output tokens, about 50% lower than the Preview, under the MEOW license; operating a Model-as-a-Service business requires a separate commercial license.
Mistral AI updated and opened the weights of its flagship model Mistral Large 4, with 1.05T total parameters and 52B activated parameters. It scores 26 on the Artificial Analysis Intelligence Index v5, 1 point higher than the Preview version, and leads the US open-source model Muse Spark Open (25) by 1 point. The model outputs 82K tokens per task, 39% fewer than the Preview's 135K, and its hallucination rate on AA-Omniscience v1.1 dropped from 41% to 28%, though accuracy remains 26%. Pricing is
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Google has released its flagship model Gemini 4 Carbon, built specifically for continuously running agentic workflows, with a focus on improving coding, agentic, scientific task, and full-stack web development capabilities. The model ranks first on the Artificial Analysis Intelligence Index v5.0 with a score of 59, surpassing Claude Opus 5.5, GPT-6 Astra, and GPT-6.1 Sol; the launch promotional price is $2 per million input tokens and $10 per million output tokens, with a 95% discount available for cached input tokens. Carbon adopts a phased rollout strategy, first opening to select cybersecurity defenders, then expanding the range of trusted partners through the Fairwind program, and afterward opening to developers, enterprises, and consumers.
Google has released its flagship model Gemini 4 Carbon, built specifically for continuously running agentic workflows, with a focus on improving coding, agentic, scientific task, and full-stack web development capabilities. The model ranks first on the Artificial Analysis Intelligence Index v5.0 with a score of 59, surpassing Claude Opus 5.5, GPT-6 Astra, and GPT-6.1 Sol; the launch promotional price is $2 per million input tokens and $10 per million output tokens, with a 95% discount available
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Iluvatar CoreX held the first live demonstration of its general-purpose GPU TianGai 300 and the on-device compute terminal TY1200, and previewed the next-generation on-device product TY2000 with a nominal compute of 600T. The TianGai 300 has 144GB of memory, delivering Attention performance 1.05 times that of the H200 under a 64K long context and MoE throughput 1.15 times that of the H200 on the GLM-5.3 model; the TY1200 offers 300 TOPS INT8 dense compute, with measured TPS surpassing NVIDIA's Thor T5000. The TianGai 300 IXL144 supernode integrates 144 GPUs in a single rack and aggregates about 10.1TB of memory, reducing the cost per million effective tokens by about 40% compared with mainstream international solutions.
Iluvatar CoreX held the first live demonstration of its general-purpose GPU TianGai 300 and the on-device compute terminal TY1200, and previewed the next-generation on-device product TY2000 with a nominal compute of 600T. The TianGai 300 has 144GB of memory, delivering Attention performance 1.05 times that of the H200 under a 64K long context and MoE throughput 1.15 times that of the H200 on the GLM-5.3 model; the TY1200 offers 300 TOPS INT8 dense compute, with measured TPS surpassing NVIDIA's T
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