←Search results

By relevance · Total 1389 results Clear search

Wednesday

  1. Cohere Product and Research Blog

    Cohere Model Vault Launches Third-Party Open Models, Supporting DeepSeek V4.1…

    Cohere has launched third-party open models in Model Vault and Model Vault Encrypted, allowing enterprises to run both Cohere's own models and open models such as DeepSeek V4.1 Flash, GLM 5.3 Flash, Gemma 4, GPT-OSS, and Phi on a fully managed encrypted inference platform. Model Vault applies zero data retention to prompts and outputs by default, while the Encrypted version uses confidential computing so that neither Cohere nor cloud providers can see the data. Model Vault is now available in the United States, the European Union, and Canada; the Encrypted version is currently limited to the United States, with support for the European Union and Canada coming soon.

    An abstract image with words overlayed reading "World's leading open models, under your control. Available in Model Vault"

    Cohere has launched third-party open models in Model Vault and Model Vault Encrypted, allowing enterprises to run both Cohere's own models and open models such as DeepSeek V4.1 Flash, GLM 5.3 Flash, Gemma 4, GPT-OSS, and Phi on a fully managed encrypted inference platform. Model Vault applies zero data retention to prompts and outputs by default, while the Encrypted version uses confidential computing so that neither Cohere nor cloud providers can see the data. Model Vault is now available in th

    Matched fieldsBody

Tuesday

  1. Sarvam AI Blog

    Sarvam AI Releases Sarvam Prism, a Decision Model Based on Sarvam 105B

    Sarvam AI has released Sarvam Prism, a System One decision model based on Sarvam 105B, which achieves an average score of 71.8 with a median response time of 44 ms on B200 GPUs, the highest score within 100 ms among the 25 decision models it tested. At confidence levels above 90%, the model's actual error rate is lower than expected: 2.2% versus 3.3% for English and 4.4% versus 5.4% for Indic languages, and it keeps its answers unchanged in a 2,000-question option-shuffling test. The weights are open-sourced under the Apache 2.0 license on Hugging Face, requiring at least 120 GB of VRAM on a single GPU to run in FP8, and it is also available via the Sarvam API.

    Introducing Sarvam Prism

    Sarvam AI has released Sarvam Prism, a System One decision model based on Sarvam 105B, which achieves an average score of 71.8 with a median response time of 44 ms on B200 GPUs, the highest score within 100 ms among the 25 decision models it tested. At confidence levels above 90%, the model's actual error rate is lower than expected: 2.2% versus 3.3% for English and 4.4% versus 5.4% for Indic languages, and it keeps its answers unchanged in a 2,000-question option-shuffling test. The weights are

    Matched fieldsBody

  2. 36Kr · AI

    SheNicest Women's Hackathon: Projects such as the toilet-finding app TOILER and the cognitive observation tool Jianwei showcased

    At the "SheNicest Fission" hackathon, where women made up 70% of participants, teams presented products including the toilet-finding app TOILER, "Jianwei," a home cognitive health observation tool for adult children, and "Hemian," a smart mattress for late pregnancy. TOILER can filter toilets by conditions such as stall doors, hooks, and hand dryers; it currently includes only some toilets in areas such as Phase II of the China National Convention Center, 798, Guomao, and Sanlitun, and does not yet update in real time. Most projects are still in the prototype stage; for example, the "Taxian" input method cannot display the corresponding Chinese characters when more than four characters are entered.

    At the "SheNicest Fission" hackathon, where women made up 70% of participants, teams presented products including the toilet-finding app TOILER, "Jianwei," a home cognitive health observation tool for adult children, and "Hemian," a smart mattress for late pregnancy. TOILER can filter toilets by conditions such as stall doors, hooks, and hand dryers; it currently includes only some toilets in areas such as Phase II of the China National Convention Center, 798, Guomao, and Sanlitun, and does not

    Matched fieldsBody

  3. 36Kr · AI

    AI data companies are fierce: UniPat reportedly backed by Alibaba and Tencent, valued at $2.5 billion

    According to a report by 36Kr's Silicon Star Pro, UniPat, a data company founded less than a year ago, is reportedly in talks to raise about $300 million, led by Alibaba with participation from Tencent and Sequoia China, at a post-money valuation of $2.5 billion. The article says a single piece of data with user behavior trajectories can be quoted at 1,000 to 3,000 yuan, while work-scenario data with a complete operation process can sell for around 10,000 yuan, and Mercor estimates that only 2% to 5% of the data frontier labs need has been completed so far. As model vendors tighten procurement, calculate ROI and run ablations on vendor data, the industry has already seen problems such as blacklisting data vendors and data quality being hard to verify.

    According to a report by 36Kr's Silicon Star Pro, UniPat, a data company founded less than a year ago, is reportedly in talks to raise about $300 million, led by Alibaba with participation from Tencent and Sequoia China, at a post-money valuation of $2.5 billion. The article says a single piece of data with user behavior trajectories can be quoted at 1,000 to 3,000 yuan, while work-scenario data with a complete operation process can sell for around 10,000 yuan, and Mercor estimates that only 2%

    Matched fieldsBody

  4. Hugging Face

    Hugging Face proposes the Transformers Model Integration Contract (MIC)

    Hugging Face proposes the Transformers Model Integration Contract (MIC), which packages model tests into three parts—a scaled-down fixture model, runnable Markdown usage examples, and manually reviewed baseline outputs—and runs fast integration tests on CPU. The team used the frozen MIC to replay five months of Transformers commits; the UMT5 fixture consistently reported a log-probability deviation of 1.22 and a training loss deviation of about 0.20 from when the regression was introduced on July 30, 2026 until it was fixed on September 28. The scaled-down report for Llama 4 Scout shows that 10.86 billion parameters were reduced to 44.7 million, the vision stack was reduced from 34 layers to 2 layers, and the language stack was reduced from 48 layers to 4 layers. As of November 1, 2026, this CI job only reports failures and does not block PRs.

    Hugging Face proposes the Transformers Model Integration Contract (MIC), which packages model tests into three parts—a scaled-down fixture model, runnable Markdown usage examples, and manually reviewed baseline outputs—and runs fast integration tests on CPU. The team used the frozen MIC to replay five months of Transformers commits; the UMT5 fixture consistently reported a log-probability deviation of 1.22 and a training loss deviation of about 0.20 from when the regression was introduced on Jul

    Matched fieldsBody

  5. NVIDIA Blog

    NVIDIA and Global Partners Extend Physical AI and Agentic AI to City Services

    NVIDIA and its partners are extending physical AI and AI agents to cities around the world, covering Spain, the US Bay Area, Poland, Malaysia, Nigeria, Taiwan, and Morocco, among other places. Spain's 1MillionBot combines ALIA and Nemotron models to serve 150+ deployments; Malaysia's ITMAX SamurAI V2 plans to support 17,000+ cameras by 2027, and its TeraSim simulation reduces peak-hour corridor travel time by up to 26%.

    Matched fieldsBody

Monday

  1. Google Blog

    Google's October AI Update: Gemini 4 Argon Launches Globally, Gemini 4…

    In October, Google launched its frontier reasoning model Gemini 4 Argon globally, covering Google AI Studio, the Gemini API, Google Cloud, Search, and the Gemini app. Two weeks later, it announced Gemini 4 Carbon, focused on long-horizon engineering and cybersecurity defense, which is currently undergoing pre-release testing with the U.S. government and select trusted cybersecurity parties through the Fairwind Program. In the same period, it released Genie 4, a real-time interactive world model that supports native audio and natural-language scene control; SynthID Detector opened globally in English and can identify AI content from partners such as OpenAI, NVIDIA, Kakao, and Apple.

    Text with a rainbow colored gradient "The big picture"

    In October, Google launched its frontier reasoning model Gemini 4 Argon globally, covering Google AI Studio, the Gemini API, Google Cloud, Search, and the Gemini app. Two weeks later, it announced Gemini 4 Carbon, focused on long-horizon engineering and cybersecurity defense, which is currently undergoing pre-release testing with the U.S. government and select trusted cybersecurity parties through the Fairwind Program. In the same period, it released Genie 4, a real-time interactive world model

    Matched fieldsBody

Friday

  1. ElevenLabs Blog

    Warm Transfer vs. Cold Transfer: How to Choose the Right Call Transfer Method

    The ElevenLabs blog compared the differences between warm transfer and cold transfer in call centers: warm transfer provides the receiving party with background information about the caller before connecting, while cold transfer connects directly without prior notice. The article recommends warm transfer for complex or sensitive issues and cold transfer for simple, high-frequency routing, and notes that ElevenAgents supports three transfer types, with Conference Transfer on its native Twilio integration able to pass warm transfer information to human agents.

    Warm, tepid, and cold transfer comparison; operator explains warm, caller explains cold.

    The ElevenLabs blog compared the differences between warm transfer and cold transfer in call centers: warm transfer provides the receiving party with background information about the caller before connecting, while cold transfer connects directly without prior notice. The article recommends warm transfer for complex or sensitive issues and cold transfer for simple, high-frequency routing, and notes that ElevenAgents supports three transfer types, with Conference Transfer on its native Twilio int

    Matched fieldsBody

  2. Air Street Press

    State of AI 2026: Nathan Benaich on AGI in 2027, Scientific Superintelligence, and World Models

    Nathan Benaich of Air Street Press discussed the State of AI Report 2026 with Matt Turck on the MAD Podcast, reiterating his prediction that AGI will be achieved in 2027, based on AI's ability to approach his own level in knowledge work such as investing, AI research, finance, and law. He also discussed how images, video, and audio are converging into world models, as well as the cybersecurity risks posed by agents; ElevenLabs' agents already handle more than 15 million conversations per week, three times the volume in February.

    Nathan Benaich of Air Street Press discussed the State of AI Report 2026 with Matt Turck on the MAD Podcast, reiterating his prediction that AGI will be achieved in 2027, based on AI's ability to approach his own level in knowledge work such as investing, AI research, finance, and law. He also discussed how images, video, and audio are converging into world models, as well as the cybersecurity risks posed by agents; ElevenLabs' agents already handle more than 15 million conversations per week, t

    Matched fieldsBody

  3. Jiwei.com

    Beken Corporation Competes for the IC Industry Awards Annual AI Market Breakthrough Award with Edge AI Chip BK7259

    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.

    Matched fieldsBody

  4. Computerworld

    Don't Expect AI to Keep Your Secrets: Chat Data, Bankruptcy Sales, and the Privacy Risks of Model Memory

    A survey commissioned by DuckDuckGo shows that 53% of U.S. adults do not know whether chatbot conversations are used for training, when in fact they are; only a quarter of respondents know that chat logs can be subpoenaed. Character.AI filed for bankruptcy this month and initiated a court-supervised asset sale; its LLM trained on user interactions could be sold together with user data, and the Bankruptcy Code has no specific provision governing the ownership of trained models. In a 2022 study, GPT-Neo recovered the correct email address from a name alone at a rate of up to 1.24%, rising to 16.55% when a domain was provided and to 37.06% after five examples were given.

    A survey commissioned by DuckDuckGo shows that 53% of U.S. adults do not know whether chatbot conversations are used for training, when in fact they are; only a quarter of respondents know that chat logs can be subpoenaed. Character.AI filed for bankruptcy this month and initiated a court-supervised asset sale; its LLM trained on user interactions could be sold together with user data, and the Bankruptcy Code has no specific provision governing the ownership of trained models. In a 2022 study, G

    Matched fieldsBody

  5. Latent Space

    Latent Space announces AIE CODE coding agent conference curation themes

    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.

    Matched fieldsBody

  6. Phoenix Technology

    New study says AI model token consumption varies by up to 17 times depending on language

    Research published last month by the AI Language Equity Research Alliance found that AI models consume vastly different numbers of tokens when processing different languages, with a gap of up to 17 times in one of the models. The study says token consumption already varies by 1.5 to 5 times among the 20 most commonly used languages on the internet, and the gap widens further when expanded to 200 languages; the researchers call this extra cost a hidden "tokenizer tax." Higher token consumption not only drives up costs but also slows response times and compresses the available context. The researchers recommend that AI labs publish evaluation results for each language and improve tokenizer design in the next generation.

    Research published last month by the AI Language Equity Research Alliance found that AI models consume vastly different numbers of tokens when processing different languages, with a gap of up to 17 times in one of the models. The study says token consumption already varies by 1.5 to 5 times among the 20 most commonly used languages on the internet, and the gap widens further when expanded to 200 languages; the researchers call this extra cost a hidden "tokenizer tax." Higher token consumption no

    Matched fieldsBody

  7. TMTPost · AGI

    A Brief History of Claude Account Bans: Anthropic's Three Years of Bans and the Cat-and-Mouse Game with Chinese Users

    Anthropic's IPO prospectus discloses that in the first nine months of 2026, approximately 5% to 7% of revenue came from customers later determined to have violated usage policies, amounting to $1.65 billion to $2.31 billion based on roughly $33 billion in revenue for the first three quarters. In the first half of 2026, Anthropic banned 11.4 million accounts, averaging about 63,000 per day, nearly 8 times the figure for the second half of 2025; during the same period, only 42,000 of 398,000 appeals overturned the original penalties, a rate of about 10.6%. Claude has not yet opened to mainland China, but it already supports simplified and traditional Chinese interfaces, and a UnionPay option once appeared on the payment page.

    Anthropic's IPO prospectus discloses that in the first nine months of 2026, approximately 5% to 7% of revenue came from customers later determined to have violated usage policies, amounting to $1.65 billion to $2.31 billion based on roughly $33 billion in revenue for the first three quarters. In the first half of 2026, Anthropic banned 11.4 million accounts, averaging about 63,000 per day, nearly 8 times the figure for the second half of 2025; during the same period, only 42,000 of 398,000 appea

    Matched fieldsBody

  8. TMTPost · AGI

    Edge AI Daily Morning Brief: Google Releases Gemini 4 Carbon, Anthropic Files for $2 Trillion...

    Google DeepMind released the cybersecurity frontier model Gemini 4 Carbon on October 28, topping the Artificial Analysis Intelligence Index v5.0 with a composite score of 59, priced at $2 per million input tokens and $10 per million output tokens. Anthropic filed its S-1 prospectus with the SEC on October 26, planning to list on Nasdaq under the ticker ANT, with a target valuation of $1.5 trillion to $2 trillion and fundraising of up to $100 billion. In the same period, Microsoft disclosed for the first time that Azure quarterly revenue reached $33.2 billion, up 48% year-over-year.

    Google DeepMind released the cybersecurity frontier model Gemini 4 Carbon on October 28, topping the Artificial Analysis Intelligence Index v5.0 with a composite score of 59, priced at $2 per million input tokens and $10 per million output tokens. Anthropic filed its S-1 prospectus with the SEC on October 26, planning to list on Nasdaq under the ticker ANT, with a target valuation of $1.5 trillion to $2 trillion and fundraising of up to $100 billion. In the same period, Microsoft disclosed for t

    Matched fieldsBody

Thursday

  1. Shao Meng

    Tencent and WorkBuddy Jointly Release a 78-Page AI Agent Enterprise Implementation Handbook

    Tencent, Tencent Cloud, and WorkBuddy have jointly released the 78-page "2026 AI Agent Enterprise Solutions and Implementation Practice Handbook," which uses WorkBuddy as the entry point to advance personal assistants into "digital employees" that enter business systems, with ClawPro, Agent Runtime, and TokenHub responsible for provisioning, isolation, models, and governance. The handbook proposes a three-stage framework of "able to converse → able to work → able to take a post," and presents case data including Yozoo's Agent penetration rate exceeding 75%, Youka's MTTR of 5–15 minutes, and operations and maintenance costs of approximately -40% (all as self-reported in the text).

    Tencent, Tencent Cloud, and WorkBuddy have jointly released the 78-page "2026 AI Agent Enterprise Solutions and Implementation Practice Handbook," which uses WorkBuddy as the entry point to advance personal assistants into "digital employees" that enter business systems, with ClawPro, Agent Runtime, and TokenHub responsible for provisioning, isolation, models, and governance. The handbook proposes a three-stage framework of "able to converse → able to work → able to take a post," and presents ca

    Matched fieldsBody

  2. Testing Catalog

    AI Daily Brief: Gemini 4 Carbon Tops AA Index with 59 Points

    Gemini 4 Carbon topped the AA Intelligence Index with 59 points and is being made available first to cybersecurity defenders. GitHub launched Copilot Fusion, costing about half as much as Claude Code with comparable performance; Alphabet's Q3 revenue reached $127.6 billion, up 25% year over year, with Gemini users reaching 1 billion. An unannounced GPT Image 2.6 appeared in OpenAI's API documentation, supporting marker-guided editing.

    Matched fieldsBody

  3. Artificial Analysis

    AssemblyAI's first TTS model AssemblyAI-TTS-1 review: Elo 1227 ranks 12th

    AssemblyAI has launched its first TTS model, AssemblyAI-TTS-1, which ranks 12th with an Elo of 1,227 in Artificial Analysis's Provider Voice Arena, and 10th with 1,110 in Controlled Voice. Its pronunciation robustness score is 81.7%, ranking 16th; its generation speed is 162 characters per second, faster than Cartesia Sonic 3.6's 148.6 and Mistral Voxtral 3 TTS's 112.3. Priced at $15/1M characters, only two models among the top 11 in the Provider Voice ranking are cheaper.

    Matched fieldsBody

  4. ZhidongxiSelected

    Google Releases Gemini 4 Carbon Model, Focused on Long-Horizon Agentic Workflows

    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

    Matched fieldsBody

  5. heise online

    Valve on AI-cloned games: rely on community and continuous updates to protect indie games

    Tom Giardino of Valve's Steam business team advised indie developers at a Korean developer event to build a loyal community and continuously update their games to fend off AI-generated clones. He said cloning is not a new phenomenon and that AI has merely accelerated it, and mentioned that some developers have received extortion emails demanding payment or their games would be replicated by AI; Valve said it will follow up on reported cases. Marc Wilkinson of the Steam business team also explained that Demo showcases during the first two days of Next Fest are nearly random, and that personalized recommendations only take effect afterward.

    Tom Giardino of Valve's Steam business team advised indie developers at a Korean developer event to build a loyal community and continuously update their games to fend off AI-generated clones. He said cloning is not a new phenomenon and that AI has merely accelerated it, and mentioned that some developers have received extortion emails demanding payment or their games would be replicated by AI; Valve said it will follow up on reported cases. Marc Wilkinson of the Steam business team also explain

    Matched fieldsBody