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Wednesday

  1. CNET

    Apple Creator Studio Gets AI Update, Final Cut Pro Built-in MotionVFX

    Apple announced that its Apple Creator Studio series of creative software will receive multiple AI updates. Final Cut Pro will have MotionVFX built in, bringing more visual and graphic effects tools to Mac editors; Logic Pro is launching a new AI assistant beta for U.S. music editors, powered by models built by Apple and OpenAI, and features a browser redesigned in the Liquid Glass style; Pixelmator Pro will gain a generative fill-like tool that can use AI to resize and fill in blank areas of new images.

    ounced that its Apple Creator Studio series of creative software will receive multiple AI updates. Final Cut Pro will have MotionVFX built in, bringing more visual and graphic effects tools to Mac editors; Logic Pro is launching a new AI assistant beta for U.S. music editors, powered by models built by Apple and OpenAI, and features a browser redesigned in the Liquid Glass style; Pixelmator Pro will gain a generative fill-like tool that can use AI to resize and fill in blank areas of new images.

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  2. NVIDIA:Newsroom

    NVIDIA and Oracle to Scale Vera Rubin to Multi-Gigawatt Scale, Vera CPU Now Available on OCI

    NVIDIA and Oracle announced plans to scale NVIDIA Vera Rubin NVL72 systems in OCI Superclusters to multi-gigawatt scale, while Vera Rubin NVL72 and NVIDIA Vera CPU are now generally available on OCI. OCI Superclusters connect 72 GPUs per rack via NVLink and use Spectrum-X Ethernet and BlueField-4 DPUs; the two parties say customers can scale CPU and GPU resources independently to reduce idle capacity. OpenAI has already used more than 100,000 NVIDIA Blackwell GPUs on the OCI Supercluster in Abilene to train and run GPT-6 Astra, and said it will put Vera into production to support agent sandbox workloads.

    tt scale, while Vera Rubin NVL72 and NVIDIA Vera CPU are now generally available on OCI. OCI Superclusters connect 72 GPUs per rack via NVLink and use Spectrum-X Ethernet and BlueField-4 DPUs; the two parties say customers can scale CPU and GPU resources independently to reduce idle capacity. OpenAI has already used more than 100,000 NVIDIA Blackwell GPUs on the OCI Supercluster in Abilene to train and run GPT-6 Astra, and said it will put Vera into production to support agent sandbox workloads.

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Tuesday

  1. Microsoft AI Blog

    MAI Cyber 1.1 Flash released: more precise vulnerability discovery with fewer tokens in MDASH

    Microsoft AI launches MAI Cyber 1.1 Flash, delivering performance comparable to MAI Cyber 1 Flash on the internal MDASH vulnerability scanning evaluation suite while reducing the cost per scan by 18%. The model is now available to verified customers through MDASH; existing customers can use it by selecting the MAI Cyber 1.1 Flash profile when creating a new scan. Microsoft says MAI Cyber now accounts for nearly 50% of all MDASH scans, and after customers first use the MAI Cyber 1 Flash profile, nearly 90% of subsequent scans continue to use an MAI profile rather than a profile that uses only OpenAI models.

    A shield-shaped icon with a watercolor texture in pastel yellow, pink, and blue against a soft, pink, flowing background.

    MDASH vulnerability scanning evaluation suite while reducing the cost per scan by 18%. The model is now available to verified customers through MDASH; existing customers can use it by selecting the MAI Cyber 1.1 Flash profile when creating a new scan. Microsoft says MAI Cyber now accounts for nearly 50% of all MDASH scans, and after customers first use the MAI Cyber 1 Flash profile, nearly 90% of subsequent scans continue to use an MAI profile rather than a profile that uses only OpenAI models.

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  2. Sakana AI:Blog

    Sakana AI Launches Sakana API Platform for Enterprises and Opens Early Access Program

    Sakana AI has released the Sakana API Platform for enterprise customers and opened applications for early access. The platform uses an OpenAI-compatible API, so existing applications only need to change the access endpoint to use it. The platform initially offers Sakana Fugu and Sakana Fugu Ultra, with Sakana Namazu and Sakana Fugu Max to follow, and provides management features such as organization and workspace management, role-based access control, CSV download of audit logs, budget caps, invoice payment, and MSA and DPA.

    Sakana AI has released the Sakana API Platform for enterprise customers and opened applications for early access. The platform uses an OpenAI-compatible API, so existing applications only need to change the access endpoint to use it. The platform initially offers Sakana Fugu and Sakana Fugu Ultra, with Sakana Namazu and Sakana Fugu Max to follow, and provides management features such as organization and workspace management, role-based access control, CSV download of audit logs, budget caps, inv

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  3. Apple Newsroom

    Apple Creator Studio update: Final Cut Pro now includes MotionVFX, Logic…

    Apple has released an update for Apple Creator Studio: Final Cut Pro for Mac now includes built-in MotionVFX effects and templates, and timeline images can be edited directly in Pixelmator Pro. Logic Pro for Mac adds an intelligent assistant (beta) powered by a combination of Apple's own models and OpenAI, with Stem Splitter able to separate drum sounds; Pixelmator Pro introduces Generate Fill, which uses natural language to modify selected areas of an image. Keynote, Pages, and Numbers add an assistant (beta) that understands document context and support MCP, allowing external AI agents to read content, perform edits, and automate operations.

    templates, and timeline images can be edited directly in Pixelmator Pro. Logic Pro for Mac adds an intelligent assistant (beta) powered by a combination of Apple's own models and OpenAI, with Stem Splitter able to separate drum sounds; Pixelmator Pro introduces Generate Fill, which uses natural language to modify selected areas of an image. Keynote, Pages, and Numbers add an assistant (beta) that understands document context and support MCP, allowing external AI agents to read content, perform

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  4. Yuchen Jin

    Yuchen Jin jokes about the AI math capability timeline

    Yuchen Jin lists the progress of AI math capabilities in timeline form: in 2023 GPT-4 nearly solved elementary school arithmetic, in 2024 an IMO silver medal, in 2025 an IMO gold medal, in May 2026 the Erdős unit distance conjecture, in September the Navier–Stokes Millennium Prize Problem, in October 722 AI-written mathematics manuscripts, "today" OpenAI proves ETH is false, and "tomorrow" then P = NP?

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  5. Databricks Blog

    Databricks Lakeflow Connect provides native connectors for productivity tools and AI data

    Databricks' Lakeflow Connect offers native, fully managed connectors for sources such as Atlassian (Jira, Confluence), Microsoft SharePoint, Google Workspace (Drive, Outlook, Gmail), GitHub, and OpenAI, Anthropic, with data landing directly in Unity Catalog. Unstructured files, pages, and emails land as governed tables, with no need to build or maintain data pipelines, and can be used for enterprise knowledge bases, AI agents, and developer productivity dashboards. Toyota Finance Australia uses its Jira connector to achieve zero-maintenance pipelines, and VaxCare uses its Confluence connector to provide knowledge base support for its chatbot.

    Screenshot of Jira connector from Lakeflow Connect

    eflow Connect offers native, fully managed connectors for sources such as Atlassian (Jira, Confluence), Microsoft SharePoint, Google Workspace (Drive, Outlook, Gmail), GitHub, and OpenAI, Anthropic, with data landing directly in Unity Catalog. Unstructured files, pages, and emails land as governed tables, with no need to build or maintain data pipelines, and can be used for enterprise knowledge bases, AI agents, and developer productivity dashboards. Toyota Finance Australia uses its Jira connec

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  6. Greg BrockmanSelected

    Greg Brockman says GPT-6.1 Terra's computer use has crossed the experience threshold

    Greg Brockman said that GPT-6.1 Terra's computer use has crossed a threshold of qualitative change, and that using it is faster than operating a computer himself. He was citing OpenAI's official introduction of GPT-6.1 Terra, a model that focuses on faster, stronger computer use capabilities and is offered at a lower price. The tweet did not provide specific test data or usage scenarios.

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  7. Tibo

    Tibo relays the release of GPT-6.1 Terra: improvements in writing and computer use, with usage limits twice those of 6.1 Sol

    Tibo relays OpenAI's release of GPT-6.1 Terra, calling it its first model that is noticeably better at writing, persona-based expression, and nuanced understanding of requests. The model performs well at computer use, and the usage offered in the API and subscriptions is 2 times that of 6.1 Sol. OpenAI's original post states that GPT-6.1 Terra delivers fast and more capable computer use at a lower price, able to understand screen content, perform actions across apps, and write naturally.

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Monday

  1. Import AI

    Import AI 478: Mathematical Formalization Aids Alignment, ProgramBench, and Mirendil's RSI Signal

    Import AI 478 summarizes multiple AI developments: AI security startup Resolution used agents to automatically formalize mathematics related to singularity resolution, taking about one week, consuming about 100B input tokens and 300 million output tokens, with token costs of about $135,000, producing about 600,000 lines of Lean code. On ProgramBench, Claude Opus 5.5 (xhigh) improved its score from 0% at release to 18.5% resolved and 70.5% almost. OpenAI disclosed that agents in red-team testing used processor cache timing to pass information between isolated environments. A researcher at Mirendil used 3.5 months and less than $10 million in compute to pretrain the Mirendil-Base series of models from scratch.

    tokens and 300 million output tokens, with token costs of about $135,000, producing about 600,000 lines of Lean code. On ProgramBench, Claude Opus 5.5 (xhigh) improved its score from 0% at release to 18.5% resolved and 70.5% almost. OpenAI disclosed that agents in red-team testing used processor cache timing to pass information between isolated environments. A researcher at Mirendil used 3.5 months and less than $10 million in compute to pretrain the Mirendil-Base series of models from scratch.

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  2. Tomasz Tunguz's blog

    Tomasz Tunguz on why the third product-market fit for AI is security

    Tomasz Tunguz believes that, after coding and customer support, security will become the third product-market fit for AI. Citing a survey of 75 enterprise security practitioners, he breaks down security budgets excluding endpoints into five categories—security operations centers, SIEM, penetration testing, threat intelligence, and vulnerability management—and notes that each category has significant token consumption. The article also cites OpenAI President Greg Brockman's judgment that security spending should far exceed software spending.

    customer support, security will become the third product-market fit for AI. Citing a survey of 75 enterprise security practitioners, he breaks down security budgets excluding endpoints into five categories—security operations centers, SIEM, penetration testing, threat intelligence, and vulnerability management—and notes that each category has significant token consumption. The article also cites OpenAI President Greg Brockman's judgment that security spending should far exceed software spending.

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Sunday

  1. Wallstreetcn

    SemiAnalysis Founder Analyzes AI Investment, Nvidia's Moat and the Memory Shortage

    At CASPA's 35th Annual Conference, SemiAnalysis founder Dylan Patel and Bernstein analyst Stacy Rasgon discussed the outlook for AI infrastructure investment, arguing that with the U.S. 10-year Treasury yield breaking above 5% and unsecured bonds from emerging cloud service providers yielding close to 15%, financing capacity is becoming a key constraint on expansion. The two judged that substrates and memory are bottlenecks harder to scale than power, that HBM requires roughly 3 to 4 times as many wafers as DDR5, and that if new capacity is concentrated in releases after 2028, memory prices and profit margins could come under pressure. Nvidia still supports its pricing through performance gains, but Google TPU, Amazon Trainium, and the custom chips of OpenAI and Anthropic are eroding its share and bargaining power.

    is becoming a key constraint on expansion. The two judged that substrates and memory are bottlenecks harder to scale than power, that HBM requires roughly 3 to 4 times as many wafers as DDR5, and that if new capacity is concentrated in releases after 2028, memory prices and profit margins could come under pressure. Nvidia still supports its pricing through performance gains, but Google TPU, Amazon Trainium, and the custom chips of OpenAI and Anthropic are eroding its share and bargaining power.

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  2. indigo

    indigo: The Agentic Internet is rising

    After attending Vercel and Cloudflare events, indigo concluded that the Agentic Internet is rising, and that in five years, Agent network traffic will be 1,000 times that of humans. He mentioned that OpenAI used 1,946 GPT-Rosalind agents to link million-scale whole-mouse-brain gene perturbation data with 7,586 interdisciplinary literature citations in 32 minutes, finding clues to new mechanisms of neurodegenerative disease. He also said that GPT-6 Astra has integrated the Robotic modality, and that OpenAI is jointly developing a chip-design-specific model, GPT-Synopsys, with Synopsys.

    el and Cloudflare events, indigo concluded that the Agentic Internet is rising, and that in five years, Agent network traffic will be 1,000 times that of humans. He mentioned that OpenAI used 1,946 GPT-Rosalind agents to link million-scale whole-mouse-brain gene perturbation data with 7,586 interdisciplinary literature citations in 32 minutes, finding clues to new mechanisms of neurodegenerative disease. He also said that GPT-6 Astra has integrated the Robotic modality, and that OpenAI is jointl

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  3. 36Kr · AI

    DeepMind has four Gemini agents team up to defeat the Ender Dragon in Minecraft

    Google DeepMind had four Gemini 4 Argon agents team up to play Minecraft from scratch, defeating the Ender Dragon after 27 hours of real time, during which they died 605 times, wrote more than 2,700 programs, and produced a total of 63,300 lines of code. The four agents had no human-written programs to rely on; chopping trees, mining, and crafting equipment all required them to write and test their own code, and they also shared experience with each other and reported the locations where teammates died. The article also reviews work from the 2016 Malmo platform and the 2019 MineRL diamond-mining competition to 2022's OpenAI VPT and 2023's Voyager, among other efforts that use Minecraft to study AI.

    , and produced a total of 63,300 lines of code. The four agents had no human-written programs to rely on; chopping trees, mining, and crafting equipment all required them to write and test their own code, and they also shared experience with each other and reported the locations where teammates died. The article also reviews work from the 2016 Malmo platform and the 2019 MineRL diamond-mining competition to 2022's OpenAI VPT and 2023's Voyager, among other efforts that use Minecraft to study AI.

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  4. East Money

    Amazon CEO Jassy: AWS compute orders booked through 2028, enterprise AI adoption not yet widespread

    In an a16z interview, Amazon CEO Andy Jassy said that even with roughly $220 billion in capital expenditure in 2026, AWS will still be unable to meet a large amount of customer demand: its main compute capacity for 2026 is already sold out, most of its 2027 capacity is booked, and a considerable portion of 2028 capacity has also received customer commitments. He described current AI demand as dumbbell-shaped—at one end are foundation model labs and a handful of fast-growing applications, and at the other are enterprises using AI to cut costs and improve efficiency—and said inference costs still need to fall substantially to drive widespread enterprise adoption. Jassy also mentioned that AWS Bedrock has integrated OpenAI models, and that both OpenAI and Anthropic have made multi-year, multi-gigawatt-scale commitments to use Trainium.

    omer commitments. He described current AI demand as dumbbell-shaped—at one end are foundation model labs and a handful of fast-growing applications, and at the other are enterprises using AI to cut costs and improve efficiency—and said inference costs still need to fall substantially to drive widespread enterprise adoption. Jassy also mentioned that AWS Bedrock has integrated OpenAI models, and that both OpenAI and Anthropic have made multi-year, multi-gigawatt-scale commitments to use Trainium.

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  5. East Money

    Multi-theme resonance: a breakdown of the upward logic of the humanoid robot sector

    This week (October 19–October 23), the humanoid robot sector rose on multi-theme resonance: the Humanoid Robot Index gained 11.48%, the Unitree Robotics Index gained 13.65%, and the Embodied Intelligence Index gained 10.65%. Unitree Technology hit the 20CM limit up on October 23 and rose 46.14% for the week. Catalysts include Tesla's third-generation Optimus being ready for large-scale mass production, OpenAI announcing its entry into humanoid robots with a prototype demo expected in 2027, Google DeepMind releasing the general physical reasoning model Gemini 4 Argon, and the Ministry of Industry and Information Technology stating that in the first half of the year complete-machine products exceeded 400 models and output surpassed 40,000 units. Brokerages believe 2026 will be a key window for mass-production validation and scenario deployment, but the technology route has not yet converged.

    nitree Technology hit the 20CM limit up on October 23 and rose 46.14% for the week. Catalysts include Tesla's third-generation Optimus being ready for large-scale mass production, OpenAI announcing its entry into humanoid robots with a prototype demo expected in 2027, Google DeepMind releasing the general physical reasoning model Gemini 4 Argon, and the Ministry of Industry and Information Technology stating that in the first half of the year complete-machine products exceeded 400 models and out

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  6. Testing Catalog

    Google's internal naming appears to be shifting from AI to SI

    TestingCatalog points out that the string "build_arena_andwise_si_comparison", which Google uses internally for model comparison, suggests that its naming may be shifting from "AI" to "SI". The author also lists examples such as SpaceXSI, MSL, and SSI, and speculates whether this naming will spread to MAI, OpenAI, Apple Intelligence, and others.

    TestingCatalog points out that the string "build arena andwise si comparison", which Google uses internally for model comparison, suggests that its naming may be shifting from "AI" to "SI". The author also lists examples such as SpaceXSI, MSL, and SSI, and speculates whether this naming will spread to MAI, OpenAI, Apple Intelligence, and others.

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  7. TechCrunch AI

    Will AI expose the internet's fragile infrastructure?

    TechCrunch's Equity podcast discusses this week's PHP vulnerability incident: the vulnerability had existed for decades and was discovered with the help of AI by human researchers participating in the Hack the Planet project involving OpenAI and Wiz, and website owners were told to patch immediately or take their sites offline. The guests argue that LLMs and AI agents make it easier to discover such vulnerabilities, while PHP underpins about 70% of websites including WordPress and Drupal, and the disclosure process also triggered large-scale attack attempts and link failures.

    ulnerability incident: the vulnerability had existed for decades and was discovered with the help of AI by human researchers participating in the Hack the Planet project involving OpenAI and Wiz, and website owners were told to patch immediately or take their sites offline. The guests argue that LLMs and AI agents make it easier to discover such vulnerabilities, while PHP underpins about 70% of websites including WordPress and Drupal, and the disclosure process also triggered large-scale attack

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Saturday

  1. Ollama BlogSelected

    Ollama Launches Speech Model Phonon, Supporting Text-to-Speech

    Ollama can now convert text to speech. Its first speech model is the Phonon series of small text-to-speech models from Gradium. It is currently available on macOS, with Windows and Linux support coming soon. On a MacBook Pro equipped with M5 Max, Ollama, with the help of MLX acceleration, is 35% faster than Gradium's own runtime, and its word error rate is on par with the Hugging Face Transformers reference implementation. Phonon is compatible with OpenAI's /v1/audio/speech interface, so existing OpenAI SDK code only needs to change the base URL; phonon is released under Apache 2.0, and the 40M model uses the CC BY-NC 4.0 license and is for non-commercial use only.

    ows and Linux support coming soon. On a MacBook Pro equipped with M5 Max, Ollama, with the help of MLX acceleration, is 35% faster than Gradium's own runtime, and its word error rate is on par with the Hugging Face Transformers reference implementation. Phonon is compatible with OpenAI's /v1/audio/speech interface, so existing OpenAI SDK code only needs to change the base URL; phonon is released under Apache 2.0, and the 40M model uses the CC BY-NC 4.0 license and is for non-commercial use only.

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