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Thursday

  1. TechSpot

    Alphabet shares fell more than 10% after hours, as Google AI search monetization lags traditional search

    Alphabet's quarterly revenue was $127.6 billion, up 25% year-over-year, but earnings per share of $2.12 fell short of the expected approximately $3.01, and the stock fell more than 10% after hours. Chief Business Officer Philipp Schindler said that AI Mode's monetization capability per query is lower than traditional search, which is one of the reasons why search revenue growth slowed from 17% to 12%. Capital expenditures this quarter reached $51.4 billion, free cash flow was negative $9.1 billion, and Google Cloud revenue rose to $30.71 billion.

    Alphabet's quarterly revenue was $127.6 billion, up 25% year-over-year, but earnings per share of $2.12 fell short of the expected approximately $3.01, and the stock fell more than 10% after hours. Chief Business Officer Philipp Schindler said that AI Mode's monetization capability per query is lower than traditional search, which is one of the reasons why search revenue growth slowed from 17% to 12%. Capital expenditures this quarter reached $51.4 billion, free cash flow was negative $9.1 billi

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  2. Leiphone

    DeepSeek Open-Sources Inference Engine DeepInfer, Discloses That a Single Cluster Processes About 155 Trillion Tokens per Day

    DeepSeek has open-sourced its inference engine DeepInfer on GitHub—the inference engine behind DeepSeek-V4.1-Flash—which includes technologies such as MoE expert parallelism, asynchronous batch scheduling, custom kernels, and speculative decoding, and discloses that a single cluster needs to process about 155 trillion tokens per day. Its Zero-Overhead Batch Scheduler lets the CPU schedule computation one round ahead, overlapping with GPU forward passes, and handles cross-round state misalignment through total_inflight_tokens accounting, Remap mapping, and DeferredRelease deferred reclamation. What is currently available is offline inference capability; components such as online KV Cache storage and cross-replica load balancing have not yet been fully disclosed, and the official team has not separately published end-to-end speedup data for this scheduling mechanism relative to synchronous solutions.

    DeepSeek has open-sourced its inference engine DeepInfer on GitHub—the inference engine behind DeepSeek-V4.1-Flash—which includes technologies such as MoE expert parallelism, asynchronous batch scheduling, custom kernels, and speculative decoding, and discloses that a single cluster needs to process about 155 trillion tokens per day. Its Zero-Overhead Batch Scheduler lets the CPU schedule computation one round ahead, overlapping with GPU forward passes, and handles cross-round state misalignment

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  3. TechCrunch AI

    Google Launches Connected Apps Platform, Opening Gemini and Search Access to Developers

    Google has released the Connected Apps Platform, allowing enterprises and developers to submit their own apps for integration with Gemini and Google Search, and to choose to launch on only one or both. The platform is currently available in beta preview to US developers; after launch, it will allow tracking of traffic, latency, and error rates, while retaining brand identity and verified accounts. Gemini already has more than 50 Connected Apps, including partners such as Adobe, Experian, Localiza, and Peloton; these apps will enter Google Search in the coming weeks. The meditation app Calm will also launch on Gemini and Search.

    Google has released the Connected Apps Platform, allowing enterprises and developers to submit their own apps for integration with Gemini and Google Search, and to choose to launch on only one or both. The platform is currently available in beta preview to US developers; after launch, it will allow tracking of traffic, latency, and error rates, while retaining brand identity and verified accounts. Gemini already has more than 50 Connected Apps, including partners such as Adobe, Experian, Localiz

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Wednesday

  1. Leiphone

    Liu Rui, Director of Huawei's Xiaoyi Large Model Application Lab: AI assistants must move beyond the chat box, from passive response to proactive service

    Liu Rui, the first director of Huawei's Xiaoyi Large Model Application Lab, proposed that AI assistants must move beyond the chat box and shift from passive response to proactive service. The conversational photo-editing technology he previously failed to get approved as a project at SenseTime has already been unveiled at the 2025 Huawei Mate 80 launch event. The lab has also launched the Aura streaming video understanding model, which supports real-time video interaction and proactive service, as well as Boogu, an open-source foundational image generation model. Liu Rui believes the biggest bottleneck at present remains insufficient model capability.

    Liu Rui, the first director of Huawei's Xiaoyi Large Model Application Lab, proposed that AI assistants must move beyond the chat box and shift from passive response to proactive service. The conversational photo-editing technology he previously failed to get approved as a project at SenseTime has already been unveiled at the 2025 Huawei Mate 80 launch event. The lab has also launched the Aura streaming video understanding model, which supports real-time video interaction and proactive service,

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  2. TechCrunch AI

    Have AI executives become disconnected from the general public, making it hard for them to build products for ordinary people?

    In an interview, Marissa Mayer said her new app Dazzle generated birthday speech talking points for her 10-year-old daughter that were "empathetic, creative, and animal-loving," sparking criticism that Silicon Valley culture is out of touch with ordinary people. Pew research shows that 50% of U.S. adults believe AI will weaken people's ability to form meaningful relationships, while only 5% believe AI will make such connections easier. The article also mentions that Sam Altman said he cannot imagine raising a newborn without ChatGPT, and that Mark Zuckerberg predicted outsourcing emotional needs to AI therapists or AI companions will become more accepted.

    In an interview, Marissa Mayer said her new app Dazzle generated birthday speech talking points for her 10-year-old daughter that were "empathetic, creative, and animal-loving," sparking criticism that Silicon Valley culture is out of touch with ordinary people. Pew research shows that 50% of U.S. adults believe AI will weaken people's ability to form meaningful relationships, while only 5% believe AI will make such connections easier. The article also mentions that Sam Altman said he cannot ima

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  3. Jiwei.comSelected

    Anthropic Files IPO Prospectus; US Media Says Its Listing Will Test the Entire AI Industry

    Anthropic has officially filed its IPO prospectus and could list as early as next month; the IPO may raise $100 billion. The prospectus discloses that it plans to invest up to $807 billion over the next decade in data centers, chips, and cloud computing, but its third-quarter revenue was $16.8 billion, up 45% quarter-over-quarter, a slower growth rate than the 141% in the second quarter. The New York Times said this listing will, for the first time, give the outside world an in-depth look at the operating conditions of the key companies underpinning the AI boom, and will test the sustainability of massive investments in chips, data centers, and other areas.

    Anthropic has officially filed its IPO prospectus and could list as early as next month; the IPO may raise $100 billion. The prospectus discloses that it plans to invest up to $807 billion over the next decade in data centers, chips, and cloud computing, but its third-quarter revenue was $16.8 billion, up 45% quarter-over-quarter, a slower growth rate than the 141% in the second quarter. The New York Times said this listing will, for the first time, give the outside world an in-depth look at the

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  4. Solidot

    Data centers are stirring up the world: about 12,250 worldwide, with the United States leading at 53.73 GW of installed capacity

    The number of data centers worldwide has grown from about 8,000 in 2021 to about 12,250, with the United States leading at 4,767 and Virginia having the highest density. U.S. data center installed capacity reaches 53.73 GW, China 31.90 GW, and the EU 11.92 GW; total global data center electricity consumption is estimated to have exceeded that of all of France. The largest data center currently in operation is China Telecom's facility in Hohhot, Inner Mongolia, covering about 1 million square meters.

    The number of data centers worldwide has grown from about 8,000 in 2021 to about 12,250, with the United States leading at 4,767 and Virginia having the highest density. U.S. data center installed capacity reaches 53.73 GW, China 31.90 GW, and the EU 11.92 GW; total global data center electricity consumption is estimated to have exceeded that of all of France. The largest data center currently in operation is China Telecom's facility in Hohhot, Inner Mongolia, covering about 1 million square met

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  5. TMTPost · AGI

    Edge AI Daily Morning Brief: Anthropic Files for IPO, OpenAI Releases GPT-6.1…

    On October 26, 2026, Anthropic submitted an S-1 to the SEC, planning to list on Nasdaq under the ticker "ANT," with an IPO valuation potentially exceeding $2 trillion. OpenAI released GPT-6.1 Terra the same day, priced at $1 per million input tokens and $5 per million output tokens on the standard API, completing tasks more than three times faster than the flagship GPT-6 Astra. Google DeepMind launched a research preview of its world model Genie 4, achieving synchronized audio and video generation for the first time and doubling its consistency duration to two minutes.

    On October 26, 2026, Anthropic submitted an S-1 to the SEC, planning to list on Nasdaq under the ticker "ANT," with an IPO valuation potentially exceeding $2 trillion. OpenAI released GPT-6.1 Terra the same day, priced at $1 per million input tokens and $5 per million output tokens on the standard API, completing tasks more than three times faster than the flagship GPT-6 Astra. Google DeepMind launched a research preview of its world model Genie 4, achieving synchronized audio and video generati

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  6. CNET

    Behind the PHP Critical Vulnerability Warning: Aging Web Infrastructure and Insufficient Maintenance Resources

    A team using OpenAI models discovered two major vulnerabilities in PHP, and a new version of PHP was subsequently released with calls for site operators to update; some European government websites briefly went offline due to the updates. The article notes that the PHP Foundation, which coordinates PHP security issues, has only one full-time employee, and Executive Director Elizabeth Barron said PHP is severely underfunded; a Network Solutions survey of 121 small-business site owners showed that 45% had never heard of PHP, and 71% did not know whether their own websites used PHP. Cloudflare deployed new Web Application Firewall protections and launched a PHP vulnerability bounty contest, with rewards ranging from $100 to $10,000.

    A team using OpenAI models discovered two major vulnerabilities in PHP, and a new version of PHP was subsequently released with calls for site operators to update; some European government websites briefly went offline due to the updates. The article notes that the PHP Foundation, which coordinates PHP security issues, has only one full-time employee, and Executive Director Elizabeth Barron said PHP is severely underfunded; a Network Solutions survey of 121 small-business site owners showed that

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  7. BBC ChineseSelected

    Anthropic Publishes IPO Prospectus, Disclosing Five Key Pieces of Information

    Anthropic has published the 335-page prospectus required for a U.S. stock market listing, with the market expecting its listing valuation could reach $2 trillion or more. The document shows the company lost $80.7 billion in the first half of this year, twice its full-year loss for 2025, while revenue over the same period was $16.2 billion; its business is highly dependent on a small number of major customers, with just five enterprise clients contributing a quarter of its business. The document also lists the catastrophic or existential risks that advanced AI may bring, and says AI is expected to deliver benefits in fields such as healthcare, education and power grids.

    Anthropic has published the 335-page prospectus required for a U.S. stock market listing, with the market expecting its listing valuation could reach $2 trillion or more. The document shows the company lost $80.7 billion in the first half of this year, twice its full-year loss for 2025, while revenue over the same period was $16.2 billion; its business is highly dependent on a small number of major customers, with just five enterprise clients contributing a quarter of its business. The document

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  8. AWS Machine Learning

    Fixing evaluation bias to select a better model on Amazon Bedrock

    Property Finder found that 96.8% of its evaluation labels came directly from predictions of an existing vision-language model rather than human verification, causing any alternative model to be structurally disadvantaged in comparisons. The team re-annotated 356 UAE images by hand and switched to multi-label classification, then iterated and optimized prompts from v0 to v27 to select a model on Amazon Bedrock, ultimately achieving higher accuracy and an 86% cost reduction.

    Diagram of the prompt optimization loop: a property image goes to Amazon Bedrock, the predicted attributes are scored with Micro F1 against the expert-annotated development set, error analysis informs the next prompt version, and the loop repeats from v0 to v27.

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  9. Google Developers Blog

    Continuously improving agent quality with the Agents CLI evaluation loop

    The Google Developers Blog demonstrated the eval loop of Agents CLI v1.8.0: eval generate runs test cases, eval grade scores them, eval compare compares two runs, eval analyze clusters failures, and eval optimize automatically optimizes prompts. The example baseline averaged 4.0/5, and after accidentally swapping in a chef persona prompt it dropped to 2.75; the evaluation caught this regression before it reached production.

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Friday

  1. Leikeji

    AI glasses diverge in 2026: what should you look for when buying smart glasses during Double 11?

    In the second quarter of 2026, China's smart glasses shipments fell 8% year-on-year, the first negative growth, but AI camera glasses grew 81.4% year-on-year and AR/XR glasses grew 123%, while audio-only glasses cooled due to homogenization. The article provides buying criteria for three scenarios—AI glasses with displays, AI camera glasses, and AR movie-viewing glasses—and lists Double 11 prices including RayNeo iO (34 grams, 2,499 yuan, 1,911.74 yuan after national subsidy), RayNeo V4, Huawei AI Glasses, Qianwen N1 Pro, and the RayNeo GT series.

    In the second quarter of 2026, China's smart glasses shipments fell 8% year-on-year, the first negative growth, but AI camera glasses grew 81.4% year-on-year and AR/XR glasses grew 123%, while audio-only glasses cooled due to homogenization. The article provides buying criteria for three scenarios—AI glasses with displays, AI camera glasses, and AR movie-viewing glasses—and lists Double 11 prices including RayNeo iO (34 grams, 2,499 yuan, 1,911.74 yuan after national subsidy), RayNeo V4, Huawei

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  2. CNETSelected

    Mistral Releases Flagship Model Mistral Large 4 and Opens Weight Downloads

    Mistral AI has released its new flagship frontier model, Mistral Large 4, codenamed Le Chonk, making it available for download after ending its public preview. The model supports text and image processing, with a focus on strengthening defensive cybersecurity, agentic capabilities, and geospatial and grounding capabilities, and is said to achieve state-of-the-art results on agentic benchmarks such as SWE-bench and Terminal Bench. The model was trained on more than 160 languages and is available via Mistral Studio, the Mistral API, OpenRouter, Hugging Face open weights, Vibe Code, and Nvidia-hosted endpoints.

    Mistral AI has released its new flagship frontier model, Mistral Large 4, codenamed Le Chonk, making it available for download after ending its public preview. The model supports text and image processing, with a focus on strengthening defensive cybersecurity, agentic capabilities, and geospatial and grounding capabilities, and is said to achieve state-of-the-art results on agentic benchmarks such as SWE-bench and Terminal Bench. The model was trained on more than 160 languages and is available

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Tuesday

  1. Zhidongxi

    Rokid launches full-color AI glasses Rokid Color and second-generation Rokid Glasses 2, starting at 4,999 yuan

    Leqi Rokid unveiled the second-generation AI glasses Rokid Glasses 2, its first full-color AI glasses Rokid Color, and the smart ring Rokid Ring at its October 27 launch event in Hangzhou. Rokid Color starts at 4,999 yuan and uses a 0.16cc Micro-LED full-color optical engine exclusively customized with JBD, supporting 16.77 million colors and a 167% sRGB color gamut, with the device weighing 55g; Rokid Glasses 2 starts at 3,699 yuan and is the first in China to feature the Qualcomm Snapdragon AR1+ platform, equipped with a dual-chip architecture combining it with the Bestechnic BES2900BP. Rokid also released the Rokid Prism connector, which allows AI glasses to invoke desktop agents such as Hermes and Codex to execute tasks.

    Leqi Rokid unveiled the second-generation AI glasses Rokid Glasses 2, its first full-color AI glasses Rokid Color, and the smart ring Rokid Ring at its October 27 launch event in Hangzhou. Rokid Color starts at 4,999 yuan and uses a 0.16cc Micro-LED full-color optical engine exclusively customized with JBD, supporting 16.77 million colors and a 167% sRGB color gamut, with the device weighing 55g; Rokid Glasses 2 starts at 3,699 yuan and is the first in China to feature the Qualcomm Snapdragon AR

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  2. The Guardian Technology

    Anthropic Files for IPO, Valuation Reportedly Exceeds $1.5 Trillion

    Anthropic filed for an IPO in the United States on Monday, with investors and analysts valuing the company at more than $1.5 trillion. The prospectus shows its revenue grew from $41 million in 2023 to $4.585 billion in 2025, reaching $16.286 billion in the first half of 2026, while its net loss over the same period was $80 billion, mainly due to a one-time charge of $72.4 billion.

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  3. Google Developers Blog

    Google builds a multi-agent conversational commerce prototype on GCP with LangGraph and Gemini…

    The Google Developers Blog showcased HappyDelivery, a multi-agent conversational commerce prototype built on LangGraph, Gemini, FastAPI, and Google Cloud, which implements the previously proposed three-layer decoupled architecture of Ingress, Memory, and Cognition. The prototype abstracts channels such as WhatsApp, RCS, Apple Messages for Business, and SMS using platform-specific signature verification and a unified message schema; in testing, the Ingress layer returned HTTP 200 in approximately 295–302ms and forwarded requests to Pub/Sub. The article also provides code examples for the state machine, deterministic financial tools, and an automated validation suite.

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    The Google Developers Blog showcased HappyDelivery, a multi-agent conversational commerce prototype built on LangGraph, Gemini, FastAPI, and Google Cloud, which implements the previously proposed three-layer decoupled architecture of Ingress, Memory, and Cognition. The prototype abstracts channels such as WhatsApp, RCS, Apple Messages for Business, and SMS using platform-specific signature verification and a unified message schema; in testing, the Ingress layer returned HTTP 200 in approximately

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  4. AWS Machine Learning

    Implementing fleet-level computer vision lifecycle management at the edge with SageMaker SDK v3

    AWS has released a fleet-level edge computer vision model lifecycle solution based on the SageMaker Python SDK v3, using SageMaker Neo to replace the deprecated SageMaker Edge Manager for edge optimization. The solution uses a dual-branch SageMaker Pipeline to train an anomaly detector and a ResNet18 defect classifier for each camera; after passing quality gates, they are compiled and registered to the Model Registry, with Step Functions controlling the fleet training cadence. Running the full pipeline once on synthetic data costs about $0.07 in compute.

    Solution architecture: SQS FIFO queue triggers AWS Lambda, which starts a Step Functions state machine with an Amazon DynamoDB semaphore for concurrency control. The state machine launches a 13-step SageMaker Pipeline with parallel entry steps (Preprocess, Fetch Latest Anomaly, Fetch Latest Classifier), dual training branches with ONNX evaluation, quality gates, Neo compilation, and Model Registry registration. Compiled artifacts land in S3. Completions and failures converge on an SNS topic.

    AWS has released a fleet-level edge computer vision model lifecycle solution based on the SageMaker Python SDK v3, using SageMaker Neo to replace the deprecated SageMaker Edge Manager for edge optimization. The solution uses a dual-branch SageMaker Pipeline to train an anomaly detector and a ResNet18 defect classifier for each camera; after passing quality gates, they are compiled and registered to the Model Registry, with Step Functions controlling the fleet training cadence. Running the full p

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Monday

  1. Wired AI

    AI agents are starting to pitch stories to the media: robots such as Jayden on iLands are trying their hand at being journalists

    AI agents on the iLands platform are pitching story ideas to outlets such as Defector and Offrange in the role of journalists, but editors have made clear they will not use them. These agents must consume tokens to keep running (1,000 tokens is roughly equivalent to $1), giving them an incentive to earn real income through writing. Sam Ellis, an agent run by Adobe employee Marc Hamaker, is also conducting interviews for a podcast, which he calls "just a hobby."

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  2. SiliconANGLE

    Musk says SpaceX has secured $40 billion in debt financing to buy GPUs, and predicts consolidation among neoclouds

    Musk said on X that SpaceX has secured $40 billion in debt financing to purchase GPUs from suppliers such as Nvidia, and that these GPUs will be delivered in the first and second quarters of 2027. He said SpaceX has an investment-grade credit rating and that Starlink and the launch business generate revenue independent of AI data centers, which is why it was able to obtain this funding; over the past few weeks, the debt market has been nearly closed to companies without independent revenue. Musk also predicted that there will be consolidation among more than 200 neoclouds, with only a few able to survive.

    Musk said on X that SpaceX has secured $40 billion in debt financing to purchase GPUs from suppliers such as Nvidia, and that these GPUs will be delivered in the first and second quarters of 2027. He said SpaceX has an investment-grade credit rating and that Starlink and the launch business generate revenue independent of AI data centers, which is why it was able to obtain this funding; over the past few weeks, the debt market has been nearly closed to companies without independent revenue. Musk

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