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Friday

  1. TMTPost · AGI

    Edge AI Daily Morning Brief (October 30): Intel Plunges 21%, Anthropic…

    Intel reported third-quarter 2026 revenue of $16.5 billion and earnings per share of 52 cents, beating expectations, but its fourth-quarter revenue guidance of $15 billion to $16 billion fell short of the market's expectation of about $17.1 billion, and its gross margin guidance dropped from 43% to 38%; its stock price plunged about 21% in after-hours trading on October 29. Anthropic filed for a Nasdaq IPO on October 26 (ticker ANT), with revenue of $16.286 billion in the first half of 2026, up about 1,300% year over year, and second-quarter operating profit of $974 million. The U.S. Department of Justice has opened inquiries into whether Nvidia's acquisition of Hugging Face for about $12.93 billion affects AI competition.

    Intel reported third-quarter 2026 revenue of $16.5 billion and earnings per share of 52 cents, beating expectations, but its fourth-quarter revenue guidance of $15 billion to $16 billion fell short of the market's expectation of about $17.1 billion, and its gross margin guidance dropped from 43% to 38%; its stock price plunged about 21% in after-hours trading on October 29. Anthropic filed for a Nasdaq IPO on October 26 (ticker ANT), with revenue of $16.286 billion in the first half of 2026, up

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  2. Unite.AI

    Cohere Completes First Close of Series E, Targeting Up to C$7 Billion in Funding at a C$35.7 Billion Valuation

    On October 29, 2026, Cohere announced the first close of its Series E financing, targeting up to C$7 billion in funding at a corresponding valuation of C$35.7 billion, led by a company under Schwarz Group, with Bell Ventures, Bullhound Capital, and the Government of Canada joining as new investors. Cohere said this is the largest private financing for a Canadian tech company, and the funds will be used to advance its model and product roadmap, verticalized AI solutions for regulated industries, and long-term compute infrastructure. The company also disclosed that as of Q3 2026, its annual recurring revenue grew 165% year-over-year, with global customers increasing to 300.

    On October 29, 2026, Cohere announced the first close of its Series E financing, targeting up to C$7 billion in funding at a corresponding valuation of C$35.7 billion, led by a company under Schwarz Group, with Bell Ventures, Bullhound Capital, and the Government of Canada joining as new investors. Cohere said this is the largest private financing for a Canadian tech company, and the funds will be used to advance its model and product roadmap, verticalized AI solutions for regulated industries,

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  3. English text is being prepared.

    Dapeng P1 PRO MAX Eye-Tracking Edition Released: 120–200Hz Sampling Rate, Tracking Accuracy Within 1°

    Dapeng officially launched the enterprise-grade VR headset P1 PRO MAX Eye-Tracking Edition, adding eye tracking to its existing VR capabilities. It supports recording data such as the user's gaze position, with an eye-tracking sampling rate of 120–200Hz and tracking accuracy controlled within 1°. The device targets visual training, scientific research experiments, and gaze interaction development, and offers supporting software customization that can organize interaction tasks, data recording, and result display according to project requirements.

    Dapeng officially launched the enterprise-grade VR headset P1 PRO MAX Eye-Tracking Edition, adding eye tracking to its existing VR capabilities. It supports recording data such as the user's gaze position, with an eye-tracking sampling rate of 120–200Hz and tracking accuracy controlled within 1°. The device targets visual training, scientific research experiments, and gaze interaction development, and offers supporting software customization that can organize interaction tasks, data recording, a

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  4. English text is being prepared.

    Google's Android XR development tools enter the stable phase, XREAL AURA released simultaneously

    On October 29, at the Android Dev Summit 2026, Google announced that multiple core Android XR development tools have entered the stable phase, with the 1.0 stable versions of Jetpack SceneCore, ARCore for Jetpack XR, and XR Runtime released on October 21. On the same day, XREAL AURA, a wired XR glasses product developed in collaboration between Google and XREAL, was officially released, featuring a 70-degree field of view and a glasses body weighing less than 95 grams, with a limited-time launch price starting at $1,099; it is now open for pre-order in the United States, Canada, and South Korea, with shipments expected in mid-November. The article also outlines the expansion of the Android XR hardware lineup since its announcement in December 2024, as well as Gemini as a unified AI entry point spanning headsets and smart glasses.

    On October 29, at the Android Dev Summit 2026, Google announced that multiple core Android XR development tools have entered the stable phase, with the 1.0 stable versions of Jetpack SceneCore, ARCore for Jetpack XR, and XR Runtime released on October 21. On the same day, XREAL AURA, a wired XR glasses product developed in collaboration between Google and XREAL, was officially released, featuring a 70-degree field of view and a glasses body weighing less than 95 grams, with a limited-time launch

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  5. English text is being prepared.

    JOVE Releases AI Glasses JOVE Glasses Wise 1, Targeting Middle-Aged and Elderly Users with Foldable Lenses and Smart Hearing Assistance

    JOVE has released the AI glasses JOVE Glasses Wise 1 for middle-aged and elderly users, offering four products in two forms—rimless and flip-up—with the flip-up model supporting 0° to 180° folding and stopping at any angle; the company claims a hinge lifespan of no less than 5,000 open-close cycles. The product features built-in smart hearing assistance that can be activated by double-tapping the left temple, enhancing nearby voices and reducing background noise, and it is equipped with the Jenius AI assistant to help identify suspicious sales or scam calls. For battery life, the total battery capacity is 160mAh, and the company claims support for up to 6 hours of music playback, 5 hours of continuous calls, and 30 days of standby.

    JOVE has released the AI glasses JOVE Glasses Wise 1 for middle-aged and elderly users, offering four products in two forms—rimless and flip-up—with the flip-up model supporting 0° to 180° folding and stopping at any angle; the company claims a hinge lifespan of no less than 5,000 open-close cycles. The product features built-in smart hearing assistance that can be activated by double-tapping the left temple, enhancing nearby voices and reducing background noise, and it is equipped with the Jeni

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  6. sspai

    What the author of "Sedentary Health Guide" Ashui has installed: ChatGPT Plus, flomo, and Vibe Coding practices

    Ashui, a sports and health product manager, shared his hardware and software setup: the Apple trio (iPhone 15, Apple Watch S9, a 2,000-yuan M1 MacBook Air), a Yuexingtong X3 e-ink reader, and subscriptions to flomo Max, ChatGPT Plus, Readwise, and NetEase Cloud Music VIP. He uses ChatGPT to write Python scripts to read hardware drawings, sync TestFlight feedback to Feishu Bitable, and built an AI coach within a week through Vibe Coding. He believes that as the development barrier lowers, competition in fitness apps will intensify, and making money won't necessarily become easier.

    Ashui, a sports and health product manager, shared his hardware and software setup: the Apple trio (iPhone 15, Apple Watch S9, a 2,000-yuan M1 MacBook Air), a Yuexingtong X3 e-ink reader, and subscriptions to flomo Max, ChatGPT Plus, Readwise, and NetEase Cloud Music VIP. He uses ChatGPT to write Python scripts to read hardware drawings, sync TestFlight feedback to Feishu Bitable, and built an AI coach within a week through Vibe Coding. He believes that as the development barrier lowers, competi

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  7. IT Home · Artificial Intelligence

    New Study Says AI Model Token Consumption Varies by Up to 17 Times Depending on Language

    The Artificial Intelligence Language Fairness Research Alliance found that AI models vary dramatically in token consumption when processing different languages: among the 20 most commonly used languages on the internet, the difference is up to 1.5 to 5 times, and when expanded to 200 languages, one model's gap reaches as much as 17 times. The study calls this hidden extra cost the "tokenizer tax"—the more tokens consumed, the slower the AI response and the less context is available. Researchers recommend that AI labs improve next-generation tokenizer design and publish evaluation results for each language.

    The Artificial Intelligence Language Fairness Research Alliance found that AI models vary dramatically in token consumption when processing different languages: among the 20 most commonly used languages on the internet, the difference is up to 1.5 to 5 times, and when expanded to 200 languages, one model's gap reaches as much as 17 times. The study calls this hidden extra cost the "tokenizer tax"—the more tokens consumed, the slower the AI response and the less context is available. Researchers

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Thursday

  1. Analytics India Magazine

    The economics of continuous inference: from cost per token to cost per task

    AI inference is shifting from a one-off computational event to a continuous production workload, whose cost depends on traffic patterns, latency targets, model size, context length, and concurrency. The Stanford 2025 AI Index shows that the query price for GPT-3.5-level performance on MMLU fell from $20 per million tokens in November 2022 to $0.07 per million tokens for Gemini 1.5 Flash-8B in October 2024, a decline of more than 280x in about 18 months. But reasoning models and agents generate more tokens, call models multiple times, and occupy accelerator memory for extended periods, increasingly separating cost per token from cost per completed task; production environments should measure cost per successful task at an agreed service level.

    AI inference is shifting from a one-off computational event to a continuous production workload, whose cost depends on traffic patterns, latency targets, model size, context length, and concurrency. The Stanford 2025 AI Index shows that the query price for GPT-3.5-level performance on MMLU fell from $20 per million tokens in November 2022 to $0.07 per million tokens for Gemini 1.5 Flash-8B in October 2024, a decline of more than 280x in about 18 months. But reasoning models and agents generate m

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  2. gihyo.jp

    OpenAI Offers Up to $500 Monthly API Credit for ChatGPT Pro and Business

    Starting October 28, 2026, OpenAI will provide eligible ChatGPT Pro and Business subscribers with up to $500 per month in API credits, usable for app and agent development. Pro's three monthly price tiers of $100, $200, and $500 correspond to credits of the same amount; Business accumulates at $20 per month per Standard seat and $100 per month per Premium seat, with a workspace-wide cap of $500. Annual Business plans receive up to $6,000 in credits for the full year at once, initially prorated based on the remaining days in the billing cycle, with unused portions expiring at the end of the period. These credits cannot be used to call Codex via API key, nor do they increase the usage limits of ChatGPT or the logged-in version of Codex; users must link an API organization in billing settings and enable it manually.

    Starting October 28, 2026, OpenAI will provide eligible ChatGPT Pro and Business subscribers with up to $500 per month in API credits, usable for app and agent development. Pro's three monthly price tiers of $100, $200, and $500 correspond to credits of the same amount; Business accumulates at $20 per month per Standard seat and $100 per month per Premium seat, with a workspace-wide cap of $500. Annual Business plans receive up to $6,000 in credits for the full year at once, initially prorated b

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  3. sspai

    Morning Brief: Apple launches its first touchscreen MacBook Pro, Huawei unveils the Pura 90 Plus and other new products

    Apple has released its first 14-inch and 16-inch MacBook Pro models with touchscreen support, powered by M5 Pro and M5 Max chips, starting at $2,899 (22999 yuan in mainland China), on sale November 6. Huawei launched the Pura 90 Plus, the first device to feature the Kirin 9025 chip, along with the Enjoy 100 series; Microsoft introduced the MAI-Image-2.7-Preview model focused on image editing, ranking second on the AA-Image-Editing v2.1 leaderboard with 1193 Elo.

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  4. Shaoshupai

    Minority Editorial Team's New Gadgets: Cuktech Power Bank Card, HomePod mini 2, Sonos Beam Ultra, and Guyán Prepared Dishes

    In issue 254 of "New Gadgets," the Shaoshupai editorial team shared four products they recently purchased or received for testing. The HomePod mini 2's chip has been upgraded from the S5 to the S10, and Wi-Fi has been upgraded to Wi-Fi 6, but the difference in everyday listening is extremely small compared with the previous generation; under the 27.2 system, AirPlay latency is greatly improved. The Sonos Beam Ultra achieves 7.1.2 Dolby Atmos on its own, and the Sonos 27 system provides a native cloud MCP service that lets commonly used AI directly control speaker playback.

    In issue 254 of "New Gadgets," the Shaoshupai editorial team shared four products they recently purchased or received for testing. The HomePod mini 2's chip has been upgraded from the S5 to the S10, and Wi-Fi has been upgraded to Wi-Fi 6, but the difference in everyday listening is extremely small compared with the previous generation; under the 27.2 system, AirPlay latency is greatly improved. The Sonos Beam Ultra achieves 7.1.2 Dolby Atmos on its own, and the Sonos 27 system provides a native

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  5. MediaNama

    Sarvam AI Signs MoU with India's Integrated Defence Staff to Develop AI Systems for the Three Armed Forces

    On October 27, Sarvam AI announced that it had signed a memorandum of understanding with India's Headquarters Integrated Defence Staff (HQ IDS) to establish a unified framework for AI projects for the Army, Navy and Air Force. Sarvam will design, develop and deploy AI applications for operations, training and decision support, with the three services and joint agencies sharing the same foundation models, agent infrastructure, and geospatial and perception systems. The work is handled by Chanakya, a firewall division focused on national security, and uses foundation models such as Sarvam 105B. The announcement did not disclose the signing date, signatories, contract value, funding and duration, or the specific project list, nor did it state whether any systems have already been deployed; neither HQ IDS nor the Ministry of Defence has independently confirmed it.

    On October 27, Sarvam AI announced that it had signed a memorandum of understanding with India's Headquarters Integrated Defence Staff (HQ IDS) to establish a unified framework for AI projects for the Army, Navy and Air Force. Sarvam will design, develop and deploy AI applications for operations, training and decision support, with the three services and joint agencies sharing the same foundation models, agent infrastructure, and geospatial and perception systems. The work is handled by Chanakya

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  6. SiliconANGLESelected

    Mistral Opens the Weights of Mistral Large 4, a 1-Trillion-Parameter Natively Multimodal Model

    Mistral AI announced that it is opening the weights of its frontier model Mistral Large 4 (codename Le Chonk), which has 1 trillion parameters with 52 billion active parameters and native multimodal support. ML4 was trained in a European data center on 3,800 Nvidia Grace Blackwell GPUs, improving from 28% to 41% on Terminal-Bench 4.0, tying GLM-5.3 for the best coding-agent score while using an average of 47% fewer tokens per task. Open weights mean enterprises can deploy it on their own hardware and behind their firewalls, and the model offers three reasoning modes: low, medium, and high.

    Mistral AI announced that it is opening the weights of its frontier model Mistral Large 4 (codename Le Chonk), which has 1 trillion parameters with 52 billion active parameters and native multimodal support. ML4 was trained in a European data center on 3,800 Nvidia Grace Blackwell GPUs, improving from 28% to 41% on Terminal-Bench 4.0, tying GLM-5.3 for the best coding-agent score while using an average of 47% fewer tokens per task. Open weights mean enterprises can deploy it on their own hardwar

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  7. The Guardian Technology

    What happens to work when your colleagues are AI agents

    The Guardian interviewed several San Francisco startups, describing the actual experience after AI agents took over tasks such as scheduling, coding, marketing, and recruiting as "colleagues." Anything has 15 human employees and about 150 agents; Lindy cut one-third of its staff and used agents to fill the roles; a McKinsey survey shows that about 40% of large organizations used AI agents in some form between May 2025 and June 2026. Employees report spending large amounts of time correcting agents' mistakes, and customers and job applicants are resistant to the way agents communicate.

    The Guardian interviewed several San Francisco startups, describing the actual experience after AI agents took over tasks such as scheduling, coding, marketing, and recruiting as "colleagues." Anything has 15 human employees and about 150 agents; Lindy cut one-third of its staff and used agents to fill the roles; a McKinsey survey shows that about 40% of large organizations used AI agents in some form between May 2025 and June 2026. Employees report spending large amounts of time correcting agen

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  8. The Guardian Technology

    The rise of AI psychic apps: real psychics push back against AI-generated readings

    Apps such as Your AI Psychic offer AI-generated psychic readings, with each question costing 4.06 coins, and packages ranging from $9.99 (82 coins) to $99.99 (1,180 coins). Lauryn Kellett, a psychic with 10 years of experience, said AI readings posing as real services have become "rampant" online, and she has begun teaching newcomers how to tell the two apart. Human psychics warn that AI readings lack empathy and human connection, and that LLMs may exacerbate paranoia in vulnerable people.

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  9. a16z:News

    a16z Survey of 100 CISOs: How AI Is Rewriting the 2027 Security Agenda

    a16z's survey of 100 CISOs at companies with more than 1,000 employees shows that 87% expect cybersecurity spending to increase, driven mainly by AI-related threats and the expanded attack surface from enterprises' own AI deployments. All seven of the most-watched security initiatives for 2027 are AI-related; SOC automation received the most first-priority votes, but only 18% have put AI SOC tools into production. 45% plan to make new purchases or upgrades within 12 months for internal AI agent security, and 42% plan to procure offensive security capabilities.

    a16z's survey of 100 CISOs at companies with more than 1,000 employees shows that 87% expect cybersecurity spending to increase, driven mainly by AI-related threats and the expanded attack surface from enterprises' own AI deployments. All seven of the most-watched security initiatives for 2027 are AI-related; SOC automation received the most first-priority votes, but only 18% have put AI SOC tools into production. 45% plan to make new purchases or upgrades within 12 months for internal AI agent

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  10. Baseten Engineering Blog

    Baseten Optimizes Qwen3-ASR Batch Transcription, Boosting Single-GPU Throughput by 7x

    The Baseten engineering team, through native audio decoding, KV cache FP8 quantization, and reduced host-device synchronization, increased batch transcription throughput for Qwen3-ASR 1.7B on a single RTX PRO 6000 by 7x and reduced latency by 6.9x. After optimization, the transcription cost for one hour of audio is approximately $0.0013, i.e., 1/10 of a cent per audio hour, with no significant change in word error rate. The optimized version has been made the default deployment in the Baseten Model Library and can be called through an OpenAI-compatible transcription client.

    How Baseten gets 7x throughput on Qwen3-ASR batch transcription

    The Baseten engineering team, through native audio decoding, KV cache FP8 quantization, and reduced host-device synchronization, increased batch transcription throughput for Qwen3-ASR 1.7B on a single RTX PRO 6000 by 7x and reduced latency by 6.9x. After optimization, the transcription cost for one hour of audio is approximately $0.0013, i.e., 1/10 of a cent per audio hour, with no significant change in word error rate. The optimized version has been made the default deployment in the Baseten Mo

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Wednesday

  1. gihyo.jp

    OpenAI DevDay Exchange Tokyo Recap: Practical Uses of dots and Codex

    OpenAI held DevDay Exchange Tokyo in Tokyo, with more than 500 developers attending, focusing on how to use dots, Codex, and the ChatGPT plugin ecosystem. Japan is the world's No. 2 market by weekly active users of dots and No. 1 in Asia-Pacific, and ChatGPT Enterprise seat count grew more than 2x year over year. GPT-6.1 Sol's input and output token unit price is 1/5 that of GPT-6 Astra, and it comes with an Ultrafast high-speed mode.

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  2. The New Stack

    Nvidia Releases Nemotron 3.5 Transcribe Promptable Transcription Model

    Nvidia has released the open-weight multilingual transcription model Nemotron 3.5 Transcribe, which ranks first on the Hugging Face Open ASR English open-source model leaderboard with an average word error rate of 5.33%. The model uses a 30B MoE architecture with 4B activated parameters, supports transcription in 40 languages and translation between 31 languages and English, can label speakers and distinguish up to 8 voices, handles recordings up to 1 hour long, but does not support real-time streaming. Users can provide instructions such as context and terminology before transcription; the model can be deployed with vLLM or run locally on a single GPU via NeMo-Speech.cpp; Nvidia has also released the data curation pipeline Granary v2 and a public manifest of approximately 463,062 hours across 48 languages.

    Nvidia has released the open-weight multilingual transcription model Nemotron 3.5 Transcribe, which ranks first on the Hugging Face Open ASR English open-source model leaderboard with an average word error rate of 5.33%. The model uses a 30B MoE architecture with 4B activated parameters, supports transcription in 40 languages and translation between 31 languages and English, can label speakers and distinguish up to 8 voices, handles recordings up to 1 hour long, but does not support real-time st

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  3. Latent Space

    Anthropic Abolishes Coding Interviews: Felix Reiseberg Says "Hunger beats tenure"

    Anthropic hiring manager Felix Reiseberg announced that the company will no longer use traditional coding interviews to evaluate candidates, citing the fact that Claude is already stronger than humans at both React challenges and assembly problems, and that truly impactful builders do not win through such tests. He advises junior engineers to pick an idea that can drive business impact, build a working prototype over the weekend, focus on just one good idea, and leverage their fresh perspective on users. On the same day, Google DeepMind released the Genie 4 world model, and Claude Opus 5.5 (58 points) topped the Artificial Analysis Intelligence Index v5.

    Anthropic hiring manager Felix Reiseberg announced that the company will no longer use traditional coding interviews to evaluate candidates, citing the fact that Claude is already stronger than humans at both React challenges and assembly problems, and that truly impactful builders do not win through such tests. He advises junior engineers to pick an idea that can drive business impact, build a working prototype over the weekend, focus on just one good idea, and leverage their fresh perspective

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