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Friday

  1. Story1 reports · 1 facts

    Khanna says Democrats will strictly scrutinize AI labs if they win the House

    Greg Casar, chair of the U.S. Congressional Progressive Caucus, said that if Democrats win a majority in the House of Representatives next week, they will push for strict scrutiny of AI labs and summon the CEOs of major AI companies to testify at hearings, not ruling out the use of subpoenas to compel their attendance. Previously, on October 29, Casar and 19 other Democrats sent a letter to OpenAI demanding a response regarding the dismissal of three safety researchers; OpenAI said the personnel decision was unrelated to the safety concerns raised. At present, this statement remains at the stage of a policy declaration before the election, with no subsequent developments.

    of AI labs and summon the CEOs of major AI companies to testify at hearings, not ruling out the use of subpoenas to compel their attendance. Previously, on October 29, Casar and 19 other Democrats sent a letter to OpenAI demanding a response regarding the dismissal of three safety researchers; OpenAI said the personnel decision was unrelated to the safety concerns raised. At present, this statement remains at the stage of a policy declaration before the election, with no subsequent developments.

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  2. Story1 reports · 1 facts

    360's Tu Longfeng tops CyberGym with a 99.4% vulnerability reproduction success rate

    360 Group's self-developed AI security attack-defense system Tu Longfeng topped the CyberGym benchmark with a 99.4% vulnerability reproduction success rate, competing on the same leaderboard against models and agents from vendors including OpenAI, Anthropic, and Google. The evaluation covered 1,507 tasks, and Tu Longfeng achieved success rates of 99.27%, 99.47%, and 99.40% across three independent rounds of evaluation, averaging 99.38%. 360 said Tu Longfeng has discovered more than 15,000 vulnerabilities in total, and over 500 enterprises have already connected to the system to conduct security testing.

    Tu Longfeng topped the CyberGym benchmark with a 99.4% vulnerability reproduction success rate, competing on the same leaderboard against models and agents from vendors including OpenAI, Anthropic, and Google. The evaluation covered 1,507 tasks, and Tu Longfeng achieved success rates of 99.27%, 99.47%, and 99.40% across three independent rounds of evaluation, averaging 99.38%. 360 said Tu Longfeng has discovered more than 15,000 vulnerabilities in total, and over 500 enterprises have already co

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  3. Story1 reports · 1 facts

    Rohan Paul said that Sunra resells multimodal model calls at the manufacturer's original price

    Rohan Paul stated on October 29, 2026 that Sunra has released the Sunra API, through which users can call all major image, video, audio, and 3D models with a single key, billed at each model vendor's own API prices on a pay-as-you-go basis, with no subscription fee and no markup. Rohan Paul also said that Seedance 2.5 is priced on Sunra at half of what two other gateways charge, and that this unified entry point also makes it easier to run A/B tests on models from Google, OpenAI, ByteDance, and Kling. At present, this claim appears only in Rohan Paul's account, and there is no independent evidence from Sunra officially or from other sources.

    s with a single key, billed at each model vendor's own API prices on a pay-as-you-go basis, with no subscription fee and no markup. Rohan Paul also said that Seedance 2.5 is priced on Sunra at half of what two other gateways charge, and that this unified entry point also makes it easier to run A/B tests on models from Google, OpenAI, ByteDance, and Kling. At present, this claim appears only in Rohan Paul's account, and there is no independent evidence from Sunra officially or from other sources.

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  4. Story4 reports · 1 facts

    ChatGPT launches SMS interaction feature for dot

    ChatGPT announces the launch of an SMS interaction feature for dot: users can text dot via iMessage or RCS, assign tasks using text, photos, or voice messages, and also have it keep an eye on something continuously, with dot proactively sending messages to report progress. The feature is being rolled out in preview to Pro users in the US. According to the official statement, only users themselves can message their own dot, and dot can only reply to the user; moreover, dot and OpenAI will not be given access to users' other SMS conversations. To set it up, select Texting on dot's profile page; dot shares the same context and plugins across different entry points.

    ave it keep an eye on something continuously, with dot proactively sending messages to report progress. The feature is being rolled out in preview to Pro users in the US. According to the official statement, only users themselves can message their own dot, and dot can only reply to the user; moreover, dot and OpenAI will not be given access to users' other SMS conversations. To set it up, select Texting on dot's profile page; dot shares the same context and plugins across different entry points.

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  5. Story1 reports · 1 facts

    Aswath Damodaran publishes a valuation article on Anthropic

    Aswath Damodaran, a valuation professor at New York University, published a long article valuing Anthropic at $1.475 trillion. In the article, he noted that Anthropic's revenue in the first half of the year was about 14 times that of the same period last year, but growth slowed in the third quarter because OpenAI took market share and Anthropic lacked sufficient computing power. He mentioned that the $80.7 billion book loss in the first half mainly came from $72 billion in non-cash bond expenses, while the actual operating loss was slightly over $8 billion; Anthropic said it had achieved operating profitability last quarter. He believes the biggest risk is over $600 billion in computing power commitments, and that seven co-founders hold 50.1% of voting rights through a single class of shares.

    n the article, he noted that Anthropic's revenue in the first half of the year was about 14 times that of the same period last year, but growth slowed in the third quarter because OpenAI took market share and Anthropic lacked sufficient computing power. He mentioned that the $80.7 billion book loss in the first half mainly came from $72 billion in non-cash bond expenses, while the actual operating loss was slightly over $8 billion; Anthropic said it had achieved operating profitability last quar

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  6. Story1 reports · 1 facts

    AYi shares a tip for starting the Codex quota window early

    On October 29, 2026, AYi AI Notes published an article sharing a technique the community had figured out for starting the Codex 5-hour quota window early. The article states that the 5-hour quota countdown begins with the first message of the day, so at 7:00 AM one can use Grok Bot to automatically run codex exec ping to trigger the countdown; after the quota resets at 12:00 noon, it then covers the afternoon work period. The article provides a ready-to-copy scheduled prompt and notes that this mechanism comes from community testing rather than official OpenAI documentation, and that a read-only parameter must be included when executing it. Currently this is the only source reporting it, with no subsequent developments yet.

    ge of the day, so at 7:00 AM one can use Grok Bot to automatically run codex exec ping to trigger the countdown; after the quota resets at 12:00 noon, it then covers the afternoon work period. The article provides a ready-to-copy scheduled prompt and notes that this mechanism comes from community testing rather than official OpenAI documentation, and that a read-only parameter must be included when executing it. Currently this is the only source reporting it, with no subsequent developments yet.

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  7. Story1 reports · 1 facts

    Vaibhav Srivastav said Codex's weekly active users have grown more than 14-fold since the beginning of 2026

    Vaibhav Srivastav reported on October 28, 2026 that OpenAI held a DevDay Exchange event in France, where it officially disclosed that Codex's weekly active users have grown more than 14-fold since the beginning of 2026. The same disclosure also mentioned that ChatGPT Business seats have grown nearly 70% over the past year, work users have tripled since launch, and France has entered the global top ten for active OpenAI API developers. Currently, this claim appears only in this one report, with no other developments or facts.

    Vaibhav Srivastav reported on October 28, 2026 that OpenAI held a DevDay Exchange event in France, where it officially disclosed that Codex's weekly active users have grown more than 14-fold since the beginning of 2026. The same disclosure also mentioned that ChatGPT Business seats have grown nearly 70% over the past year, work users have tripled since launch, and France has entered the global top ten for active OpenAI API developers. Currently, this claim appears only in this one report, with n

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  8. Story3 reports · 2 facts

    AssemblyAI launches its first text-to-speech model, AssemblyAI-TTS-1

    On October 29, 2026, AssemblyAI launched its first text-to-speech model, AssemblyAI-TTS-1, and made it generally available, targeting real-time telephony voice agents, priced at $15 per 1 million characters, with no annual contract and no concurrency tiers. According to a MarkTechPost report, the model is offered only as a hosted API in us-east-1 and eu-north-1, supports HTTP, WebSocket and OpenAI-compatible interfaces, and includes more than 4,000 voices, instant voice cloning and 6 languages; vendor self-testing shows 93.7% entity accuracy and a median time to first byte of 47 milliseconds, but Cekura's independent benchmark measured a streaming latency of 159 milliseconds and a reading accuracy of 81.5%, and at launch it did not yet support SSML, speaking-rate control or emotion tags. On the same day, Artificial Analysis' Provider Voice Arena evaluation showed AssemblyAI-TTS-1 ranked 12th with an Elo of 1227, ranked 16th with a pronunciation robustness score of 81.7%, and generated at 162 characters per second. Later that day, OpenRouter announced that AssemblyAI-TTS-1 was live, targeting voice agent scenarios, with service available from US or EU nodes.

    o annual contract and no concurrency tiers. According to a MarkTechPost report, the model is offered only as a hosted API in us-east-1 and eu-north-1, supports HTTP, WebSocket and OpenAI-compatible interfaces, and includes more than 4,000 voices, instant voice cloning and 6 languages; vendor self-testing shows 93.7% entity accuracy and a median time to first byte of 47 milliseconds, but Cekura's independent benchmark measured a streaming latency of 159 milliseconds and a reading accuracy of 81.5

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  9. Story2 reports · 1 facts

    Perplexity Mac and web voice mode switch to gpt-live-1

    Perplexity announced that the voice mode of its Mac app and web version now uses OpenAI's gpt-live-1 model. According to Testing Catalog, users can also run multiple sessions on Perplexity Computer and manage tasks and Projects; the poster said voice is their favorite interaction interface. 9to5Mac reported that this upgrade enables the Mac app's voice mode to simultaneously handle multiple Computer sessions, launch new tasks, and create and manage Projects within a single voice session. There are currently no further developments.

    Perplexity announced that the voice mode of its Mac app and web version now uses OpenAI's gpt-live-1 model. According to Testing Catalog, users can also run multiple sessions on Perplexity Computer and manage tasks and Projects; the poster said voice is their favorite interaction interface. 9to5Mac reported that this upgrade enables the Mac app's voice mode to simultaneously handle multiple Computer sessions, launch new tasks, and create and manage Projects within a single voice session. There a

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  10. Story2 reports · 1 facts

    Altman says large models' ability to find vulnerabilities is growing exponentially

    In an interview with Stripe founder John Collison, OpenAI CEO Sam Altman reviewed the "PHP crisis week," saying that large models' ability to uncover vulnerabilities has been growing exponentially. He said that previously no one dared to use large models to scan all the public code on the internet, and that after actually doing so, the number of critical vulnerabilities exposed exceeded everyone's expectations. Altman believes that fixing software alone is no longer enough, and that the lasting solution is to rebuild the entire stack, from router firmware and operating system kernels to upper-layer applications, and that AI tools capable of writing code in parallel have already led a group of startups to begin this work. Ten days after the crisis, he still did not dare to declare victory, and said that humanity's existing threat model assumptions are failing.

    In an interview with Stripe founder John Collison, OpenAI CEO Sam Altman reviewed the "PHP crisis week," saying that large models' ability to uncover vulnerabilities has been growing exponentially. He said that previously no one dared to use large models to scan all the public code on the internet, and that after actually doing so, the number of critical vulnerabilities exposed exceeded everyone's expectations. Altman believes that fixing software alone is no longer enough, and that the lasting

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  11. Story1 reports · 1 facts

    Dan Shipper promotes Every's free live stream of thesis on November 5

    On October 30, 2026, Dan Shipper posted, calling on everyone to watch the thesis event live-streamed for free by Every on November 5, and asked those who would not attend, "What are you busy with?" Another piece of evidence for the same fact shows that tickets for Every's Thesis 2027 event are sold out, but the online live stream can be watched for free; the live stream takes place next Thursday and includes conversations with Josh Miller, Ivan Zhao, AJ Ambrosino, and others, and the Every team will also host hands-on sessions on writing, engineering, and collaborating with agents. Viewers who participate in the live stream have a chance to receive $20,000 in credits and benefits from partners such as Anthropic, Notion, and OpenAI, and even existing Every subscribers need to register separately. The event is currently in the free live-stream promotion phase.

    am takes place next Thursday and includes conversations with Josh Miller, Ivan Zhao, AJ Ambrosino, and others, and the Every team will also host hands-on sessions on writing, engineering, and collaborating with agents. Viewers who participate in the live stream have a chance to receive $20,000 in credits and benefits from partners such as Anthropic, Notion, and OpenAI, and even existing Every subscribers need to register separately. The event is currently in the free live-stream promotion phase.

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  12. Story1 reports · 1 facts

    Dan Shipper announces $20,000 in partner credits for livestream viewers

    Dan Shipper announced that a total of $20,000 in partner credits and benefits from Notion, Anthropic, and OpenAI will be given away to viewers of Every's Thesis: 2027 livestream. Viewers can register for the livestream to enter the drawing. This news was posted by Dan Shipper on October 30, 2026, and there have been no further developments so far.

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  13. FactRelated story

    Dan Shipper announces $20,000 in partner credits for livestream viewers

    Dan Shipper announced that a total of $20,000 in partner credits and benefits from Notion, Anthropic, and OpenAI will be given away to viewers of Every's Thesis: 2027 livestream. Viewers can register for the livestream to enter the drawing. This news was posted by Dan Shipper on October 30, 2026, and there have been no further developments so far.

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    View story:Dan Shipper announces $20,000 in partner credits for livestream viewers

  14. Story1 reports · 1 facts

    Sam Altman discusses the DRAM utilization issue in local inference

    On October 30, 2026, OpenAI CEO Sam Altman put forward the view that, from the perspective of global resource allocation, it is terrible to let the world's limited DRAM sit idle in personal computers and use only 5% of it. Rohan Paul cited this view the same day, and added that in terms of cost per token, data centers are clearly superior, and that a local model with batch size 1 is wasteful by any utilization metric, but it is also the only part of the entire technology stack that no one can take down from under you. On October 31, The Verge AI reported that Altman, speaking about the RAM shortage on the Cheeky Pint podcast, said that putting RAM in personal PCs rather than data centers is "terrible," and mentioned that Samsung and SK Hynix have signed long-term agreements with cloud service providers and projects such as OpenAI's Stargate, locking in most of the world's RAM production capacity for the coming years, which is also the reason for the current price increases in laptops, phones, and other devices.

    On October 30, 2026, OpenAI CEO Sam Altman put forward the view that, from the perspective of global resource allocation, it is terrible to let the world's limited DRAM sit idle in personal computers and use only 5% of it. Rohan Paul cited this view the same day, and added that in terms of cost per token, data centers are clearly superior, and that a local model with batch size 1 is wasteful by any utilization metric, but it is also the only part of the entire technology stack that no one can ta

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  15. Story1 reports · 1 facts

    Arena.ai compares coding agent user criticism across 20,869 traces

    Based on 20,869 traces from Agent Arena: Code, Arena.ai compared user criticism signals of five top models from Anthropic and OpenAI against other agents. The analysis found that frontier models differ most noticeably in three dimensions: 6.9 percentage points fewer complaints about failure-fix loops and 1.9 percentage points fewer about ignoring project context; 6.4 percentage points fewer design issues and 5.8 percentage points fewer issues with producing usable results; and 5.6, 4.9, and 4.5 percentage points fewer complaints about instruction following, task completion, and breaking existing code, respectively. There are currently no follow-up developments.

    Based on 20,869 traces from Agent Arena: Code, Arena.ai compared user criticism signals of five top models from Anthropic and OpenAI against other agents. The analysis found that frontier models differ most noticeably in three dimensions: 6.9 percentage points fewer complaints about failure-fix loops and 1.9 percentage points fewer about ignoring project context; 6.4 percentage points fewer design issues and 5.8 percentage points fewer issues with producing usable results; and 5.6, 4.9, and 4.5

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  16. Story1 reports · 1 facts

    Arena says GPT-6.1 Terra (Max) ranks 8th in Agent Arena

    Arena released measured results based on nearly 9,000 agent sessions: OpenAI's GPT-6.1 Terra (Max) ranks 8th in Agent Arena, with a net improvement of +10.6% and a median cost per task of $0.62. This cost is lower than the $1.09 of 7th-place Gemini 4 Argon (High), the $0.89 of 6th-place GPT-6.1 Sol (Max), and the $5.16 of 5th-place GPT-6 Astra (Max). In the subcategory rankings, it places 3rd in Bash Reliability (+13.2%), 7th in Steerability (+13.3%), and 9th in Praise vs Complaint (+16.8%). There are currently no further developments.

    Arena released measured results based on nearly 9,000 agent sessions: OpenAI's GPT-6.1 Terra (Max) ranks 8th in Agent Arena, with a net improvement of +10.6% and a median cost per task of $0.62. This cost is lower than the $1.09 of 7th-place Gemini 4 Argon (High), the $0.89 of 6th-place GPT-6.1 Sol (Max), and the $5.16 of 5th-place GPT-6 Astra (Max). In the subcategory rankings, it places 3rd in Bash Reliability (+13.2%), 7th in Steerability (+13.3%), and 9th in Praise vs Complaint (+16.8%). The

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Wednesday

  1. Story6 reports · 1 facts

    Oracle announces the introduction of Cerebras AI chips into its cloud services

    Oracle announced that it will introduce Cerebras Systems' AI chips into its cloud infrastructure, giving customers more computing power options beyond Nvidia GPUs. According to Data Center Knowledge, Oracle also plans to deploy Google TPUs and inference chips from OpenAI, Cerebras, SambaNova and Positron AI on OCI, with the TPU and Cerebras wafer-scale engine scheduled to come online in 2027, and Positron Atlas already available. CNBC Technology reported the same day that Alphabet announced Oracle will offer Google's TPUs, marking the first time customers can use TPUs outside of Google's infrastructure. No further developments have been disclosed at this time.

    rastructure, giving customers more computing power options beyond Nvidia GPUs. According to Data Center Knowledge, Oracle also plans to deploy Google TPUs and inference chips from OpenAI, Cerebras, SambaNova and Positron AI on OCI, with the TPU and Cerebras wafer-scale engine scheduled to come online in 2027, and Positron Atlas already available. CNBC Technology reported the same day that Alphabet announced Oracle will offer Google's TPUs, marking the first time customers can use TPUs outside of

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  2. Story5 reports · 1 facts

    Oracle releases Oracle AI Security Mesh

    On October 27, 2026, Oracle released Oracle AI Security Mesh at Oracle AI World in Las Vegas. According to Analytics India Magazine, Oracle reached a partnership with OpenAI to integrate ChatGPT and Codex into Oracle's enterprise applications, databases, and cloud infrastructure; products released at the same event also included Oracle AI Workspace, Oracle App Composer, and Oracle AI SMB Bundle. Employees can access business data in systems such as Fusion Applications and NetSuite through ChatGPT, build applications with Codex, and detect vulnerabilities with the help of OpenAI's cybersecurity models. A subsequent report by Testing Catalog stated that OpenAI announced an expansion of its partnership with Oracle to connect Oracle applications and data to ChatGPT; U.S. users can purchase API, Codex, and ChatGPT Work through Oracle Marketplace, and Oracle AI Security Mesh is built on OpenAI models and tools.

    On October 27, 2026, Oracle released Oracle AI Security Mesh at Oracle AI World in Las Vegas. According to Analytics India Magazine, Oracle reached a partnership with OpenAI to integrate ChatGPT and Codex into Oracle's enterprise applications, databases, and cloud infrastructure; products released at the same event also included Oracle AI Workspace, Oracle App Composer, and Oracle AI SMB Bundle. Employees can access business data in systems such as Fusion Applications and NetSuite through ChatGP

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Tuesday

  1. Story5 reports · 1 facts

    Apple launches multiple AI feature updates for Creator Studio

    On October 27, 2026, Apple launched multiple AI feature updates for Apple Creator Studio. According to information released by Apple Newsroom that day, 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, and Stem Splitter can separate drum sounds; Pixelmator Pro introduces Generate Fill, which uses natural language to modify selected images; Keynote, Pages, and Numbers add an assistant (beta) that understands document context and supports MCP, allowing external AI agents to read content, perform edits, and automate operations. A Chinese-language report on October 28 added that most of the above features are in beta, depend on models that support Apple Intelligence, and currently support only American English; the MCP support in the three office apps allows external AI Agents to read content, revise drafts, and perform automated operations, and Keynote has also introduced an open package format based on JSON, .keyx. The update has now been announced, and the related features are provided in beta form.

    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, and Stem Splitter can separate drum sounds; Pixelmator Pro introduces Generate Fill, which uses natural language to modify selected images; Keynote, Pages, and Numbers add an assistant (beta) that understands document context and supports MCP, allowing external AI agents to read content, perform edits, and auto

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