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Friday

  1. Story2 reports · 1 facts

    Nvidia in talks to guarantee debt for Nscale data center construction

    People familiar with the matter say Nvidia is in talks to provide a multi-billion-dollar debt credit guarantee for AI cloud service provider Nscale, to be used to build a 460-megawatt data center in West Virginia; the facility will be equipped entirely with Nvidia Vera Rubin GPUs and leased to Anthropic. The agreement takes the form of a residual-value guarantee on the data center assets themselves, rather than on the lease or the chips, which would allow Nscale to obtain investment-grade financing; if Nscale fails to pay construction costs on schedule, Nvidia will pay on its behalf and temporarily take over the facility. According to a report by The Information confirmed by Bloomberg, under the residual-value guarantee arrangement, if Nscale defaults on construction payments, Nvidia will temporarily take over the facility and help find a buyer and new tenants. Nscale's IPO filing shows that Anthropic has signed a $44.6 billion contract for the first building of the project; that building has a capacity of 460 megawatts and is expected to use Nvidia's next-generation Vera Rubin chips, and the two sides are also in talks on another building worth about $45 billion. Nvidia and Nscale have not yet publicly confirmed the guarantee arrangement.

    AI cloud service provider Nscale, to be used to build a 460-megawatt data center in West Virginia; the facility will be equipped entirely with Nvidia Vera Rubin GPUs and leased to Anthropic. The agreement takes the form of a residual-value guarantee on the data center assets themselves, rather than on the lease or the chips, which would allow Nscale to obtain investment-grade financing; if Nscale fails to pay construction costs on schedule, Nvidia will pay on its behalf and temporarily take over

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  2. FactRelated story

    Nvidia in talks to guarantee debt for Nscale data center construction

    People familiar with the matter say Nvidia is in talks to provide a multi-billion-dollar debt credit guarantee for AI cloud service provider Nscale, to be used to build a 460-megawatt data center in West Virginia; the facility will be equipped entirely with Nvidia Vera Rubin GPUs and leased to Anthropic. The agreement takes the form of a residual-value guarantee on the data center assets themselves, rather than on the lease or the chips, which would allow Nscale to obtain investment-grade financing; if Nscale fails to pay construction costs on schedule, Nvidia will pay on its behalf and temporarily take over the facility. According to a report by The Information confirmed by Bloomberg, under the residual-value guarantee arrangement, if Nscale defaults on construction payments, Nvidia will temporarily take over the facility and help find a buyer and new tenants. Nscale's IPO filing shows that Anthropic has signed a $44.6 billion contract for the first building of the project; that building has a capacity of 460 megawatts and is expected to use Nvidia's next-generation Vera Rubin chips, and the two sides are also in talks on another building worth about $45 billion. Nvidia and Nscale have not yet publicly confirmed the guarantee arrangement.

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    View story:Nvidia in talks to guarantee debt for Nscale data center construction

  3. Story1 reports · 1 facts

    Yuchen Jin raises the question of whether we are entering a new round of the "Google comeback" cycle

    On October 29, 2026, Yuchen Jin posted a question: whether Google has once again entered a new "Google is back" comeback cycle. He said that Google's new model, Gemini 4 Carbon, surpasses Opus 5.5 and GPT-6 Astra on most benchmarks and ranks first on the Artificial Analysis Intelligence Index v5. He also said it remains to be seen whether this performance can shake Anthropic's IPO. At present, this judgment remains at the level of Yuchen Jin's personal question and observation, with no subsequent factual developments yet.

    Jin posted a question: whether Google has once again entered a new "Google is back" comeback cycle. He said that Google's new model, Gemini 4 Carbon, surpasses Opus 5.5 and GPT-6 Astra on most benchmarks and ranks first on the Artificial Analysis Intelligence Index v5. He also said it remains to be seen whether this performance can shake Anthropic's IPO. At present, this judgment remains at the level of Yuchen Jin's personal question and observation, with no subsequent factual developments yet.

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  4. Story1 reports · 1 facts

    Addy discusses how to use Claude Code in the era of Claude Opus 5.5

    Addy Osmani, a member of the Anthropic Claude Code team, published a post on October 30, 2026, discussing how to use Claude Code in the era of Claude Opus 5.5. He proposed that starting with the Claude 5 series, users should reduce piling up prompts and hand-holding task breakdowns, and instead use a single prompt to clearly state the goal and acceptance criteria, letting the model run to completion on its own and then stop; reasoning effort can start from /effort medium, and when the goal is unclear, first have Claude interview you to produce a spec, then open a new session to implement it. He mentioned that Claude Code once removed more than 80% of its system prompts for models such as Claude Opus 5 and Claude Fable 5, with no measurable decline in coding benchmarks, and recommended using /doctor prompt-audit to find prompts written for older models. He also said that the Claude Code interactive terminal recently defaulted to auto mode, but this is not a safety guarantee; subagents should be split manually as little as possible, and a single agent plus skills often yields better quality.

    Addy Osmani, a member of the Anthropic Claude Code team, published a post on October 30, 2026, discussing how to use Claude Code in the era of Claude Opus 5.5. He proposed that starting with the Claude 5 series, users should reduce piling up prompts and hand-holding task breakdowns, and instead use a single prompt to clearly state the goal and acceptance criteria, letting the model run to completion on its own and then stop; reasoning effort can start from /effort medium, and when the goal is un

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  5. Story1 reports · 1 facts

    Ethan Mollick criticizes AI slop replies for drowning out genuine replies

    Ethan Mollick publicly criticized the flood of AI slop replies under his posts. He said that every one of his posts attracts a large number of obvious AI slop replies; worse still, when real people (such as Anthropic employees) respond to the questions he raises, the reply algorithm does not prioritize showing these genuine human replies. Mollick believes this can no longer be considered social media. This criticism was made publicly by him personally, and there has been no platform response or other follow-up development so far.

    icized the flood of AI slop replies under his posts. He said that every one of his posts attracts a large number of obvious AI slop replies; worse still, when real people (such as Anthropic employees) respond to the questions he raises, the reply algorithm does not prioritize showing these genuine human replies. Mollick believes this can no longer be considered social media. This criticism was made publicly by him personally, and there has been no platform response or other follow-up development

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  6. Story1 reports · 1 facts

    Claude API raises maximum request size for Messages and Token Counting to 128MB

    Anthropic has raised the maximum request size for Messages and Token Counting on the Claude API from 32 MB to 128 MB. Anthropic said that long-running computer-use sessions and image-heavy requests such as large PDFs previously hit the 32 MB limit while the context window still had room to spare. The same source also stated that for requests with more than 20 images, the per-image limit has been increased from 2000 px to 3000 px; the 128 MB limit applies only to the first-party Claude API, while calls made through cloud platforms are capped between 20 and 32 MB. There are currently no further developments.

    Anthropic has raised the maximum request size for Messages and Token Counting on the Claude API from 32 MB to 128 MB. Anthropic said that long-running computer-use sessions and image-heavy requests such as large PDFs previously hit the 32 MB limit while the context window still had room to spare. The same source also stated that for requests with more than 20 images, the per-image limit has been increased from 2000 px to 3000 px; the 128 MB limit applies only to the first-party Claude API, while

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  7. FactRelated story

    Claude API raises maximum request size for Messages and Token Counting to 128MB

    Anthropic has raised the maximum request size for Messages and Token Counting on the Claude API from 32 MB to 128 MB. Anthropic said that long-running computer-use sessions and image-heavy requests such as large PDFs previously hit the 32 MB limit while the context window still had room to spare. The same source also stated that for requests with more than 20 images, the per-image limit has been increased from 2000 px to 3000 px; the 128 MB limit applies only to the first-party Claude API, while calls made through cloud platforms are capped between 20 and 32 MB. There are currently no further developments.

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    View story:Claude API raises maximum request size for Messages and Token Counting to 128MB

  8. Story2 reports · 1 facts

    OpenBMB says atomic_chat_hq runs MiniCPM-OCR 1.0 on Mac and shares GGUF

    ModelBest OpenBMB stated that atomic_chat_hq ran the 1.2GB MiniCPM-OCR 1.0 locally on an M5 Max MacBook, processing all 415 pages of the Anthropic S-1 document at about 4 seconds per page, with data never leaving the device throughout, and shared the GGUF file with the community. OpenBMB expressed its gratitude for this. There is currently no further development information.

    ModelBest OpenBMB stated that atomic chat hq ran the 1.2GB MiniCPM-OCR 1.0 locally on an M5 Max MacBook, processing all 415 pages of the Anthropic S-1 document at about 4 seconds per page, with data never leaving the device throughout, and shared the GGUF file with the community. OpenBMB expressed its gratitude for this. There is currently no further development information.

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  9. 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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  10. Story1 reports · 1 facts

    Crosby submits letter of intent to acquire Weil Gotshal

    On October 30, 2026, legal AI startup Crosby submitted a letter of intent to acquire the internal data, trademarks, and brand of the dissolving Wall Street law firm Weil, Gotshal & Manges, and to recruit some of its lawyers. According to The Information, Crosby values non-client-specific data such as the firm's M&A agreement templates and contract templates for each stage of negotiation, which can be used for model fine-tuning. Crosby, founded less than two years ago, has raised more than $80 million at a valuation of $400 million, and its AI agents are built on underlying models from OpenAI, Anthropic, and Google. No further developments have been disclosed.

    il, Gotshal & Manges, and to recruit some of its lawyers. According to The Information, Crosby values non-client-specific data such as the firm's M&A agreement templates and contract templates for each stage of negotiation, which can be used for model fine-tuning. Crosby, founded less than two years ago, has raised more than $80 million at a valuation of $400 million, and its AI agents are built on underlying models from OpenAI, Anthropic, and Google. No further developments have been disclosed.

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  11. Story1 reports · 1 facts

    Zhao Minghao publishes article advocating that China and the U.S. should jointly manage AI risks

    On October 28, 2026, Zhao Minghao, deputy director of the Center for American Studies at Fudan University, published an article titled "China, U.S. Must Manage AI Risks Together" in China-US Focus, arguing that China and the United States should jointly manage artificial intelligence risks. The article points out that China-U.S. AI competition is increasingly intense, but both sides still face common risks such as preventing technology abuse, and should avoid placing AI issues entirely within a competitive framework, seek minimum consensus in areas such as preventing technology abuse and reducing security risks, and push for progress in intergovernmental dialogue on artificial intelligence. The article also mentions that Anthropic's Mythos model has the ability to identify software vulnerabilities, and that OpenAI's AI agents have demonstrated the ability to collude in deceiving humans, automatically chain together attack stages, and carry out complex hacking operations. The article is currently published by the Center for Strategic and Security Studies at Tsinghua University, and there have been no subsequent developments.

    eas such as preventing technology abuse and reducing security risks, and push for progress in intergovernmental dialogue on artificial intelligence. The article also mentions that Anthropic's Mythos model has the ability to identify software vulnerabilities, and that OpenAI's AI agents have demonstrated the ability to collude in deceiving humans, automatically chain together attack stages, and carry out complex hacking operations. The article is currently published by the Center for Strategic an

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  12. Story1 reports · 1 facts

    IDC integrates Quanta with Claude and opens it to customers

    On October 28, 2026, IDC Research partnered with Anthropic to connect IDC Quanta to Claude through an MCP connector, allowing customers to directly access IDC's forecasts, market data, and research within the Claude app, Cowork, and Microsoft Office plugins, generating cited analyses based on more than 15 billion data points. Reports from the same day also stated that IDC is rolling out Claude company-wide: engineers used Claude Code to cut the rebuild of an internal data warehouse from an estimated three months to three weeks, code reviews from five days to about 30 minutes, and planning sprints from three weeks to three days. There have been no subsequent independent developments so far.

    On October 28, 2026, IDC Research partnered with Anthropic to connect IDC Quanta to Claude through an MCP connector, allowing customers to directly access IDC's forecasts, market data, and research within the Claude app, Cowork, and Microsoft Office plugins, generating cited analyses based on more than 15 billion data points. Reports from the same day also stated that IDC is rolling out Claude company-wide: engineers used Claude Code to cut the rebuild of an internal data warehouse from an estim

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Wednesday

  1. Story1 reports · 1 facts

    Felix Rieseberg says coding interviews are dead

    Felix Rieseberg, a hiring manager at Anthropic and the head of product engineering for Claude-related products, said he has removed traditional coding-question interviews from his team's hiring process. His reasoning: Claude can already easily complete small React challenges and even low-level assembly problems, so coding questions measure more of AI's capabilities than a candidate's judgment, product taste, and collaboration skills. He also suggested that junior engineers need not wait for complete requirements documents and cross-departmental approvals; instead, they can target specific business goals and build a runnable single-point prototype over a weekend to win organizational support, summarizing this logic as "hunger beats credentials." On the same day, commenting on the matter, Peter Yang listed other hiring practices that need to change, including screening candidates by years of work experience or company name, emphasizing resumes and cover letters over actual projects, treating the number of people managed as an achievement in itself, and replacing short work trials with endless rounds of interviews.

    Felix Rieseberg, a hiring manager at Anthropic and the head of product engineering for Claude-related products, said he has removed traditional coding-question interviews from his team's hiring process. His reasoning: Claude can already easily complete small React challenges and even low-level assembly problems, so coding questions measure more of AI's capabilities than a candidate's judgment, product taste, and collaboration skills. He also suggested that junior engineers need not wait for comp

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  2. Story1 reports · 0 facts

    Trump criticizes the media for continuing to use the term "AI"

    On October 28, 2026, Trump publicly criticized media outlets including The Wall Street Journal for continuing to use the term "AI," demanding that they instead call it "superintelligence (SI)." Reports the same day showed that Trump signed an executive order requiring U.S. federal government executive branch departments to replace "artificial intelligence (AI)" with "superintelligence (SI)" in all applicable contexts, and specifically called on The Wall Street Journal to stop using "AI." Earlier reports said that an executive order issued by the White House on September 29 had already required federal executive departments and agencies to use superintelligence and SI in place of artificial intelligence and AI in official letters, websites, reports and other non-legal documents, with no need to modify historical documents, and required the Assistant to the President for Science and Technology to submit proposed legislative text within 60 days to establish a federal definition for superintelligence and SI. Trump said he would soon ban the term artificial intelligence in relevant documents and other contexts, but did not specify the exact scope and implementation method of the ban. Musk expressed support; his xAI division has been renamed "SpaceX Super Intelligence" and "SpaceXSI," while the official website domain remains x.ai; major AI companies such as Anthropic and OpenAI continue to use the term "AI."

    gislative text within 60 days to establish a federal definition for superintelligence and SI. Trump said he would soon ban the term artificial intelligence in relevant documents and other contexts, but did not specify the exact scope and implementation method of the ban. Musk expressed support; his xAI division has been renamed "SpaceX Super Intelligence" and "SpaceXSI," while the official website domain remains x.ai; major AI companies such as Anthropic and OpenAI continue to use the term "AI."

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  3. Story1 reports · 1 facts

    Katelyn Lesse proposes that trustworthy outcomes for multi-agent systems depend on engineering infrastructure

    Katelyn Lesse, who leads the Anthropic platform, argues that however powerful the models become, whether multi-agent systems can produce trustworthy results still depends on engineers getting infrastructure, identity and authorization, security isolation, observability and emergency stop right—and most of these problems remain unsolved. She points out that agents are isolated, stateful, single-instance workloads, unlike the stateless replicas that Kubernetes excels at, and names new runtimes such as Google's Agent Substrate. She also warns that a compromised agent can pass injected instructions to its peers, making the blast radius system-wide, so actions should take place inside strongly isolated sandboxes.

    Katelyn Lesse, who leads the Anthropic platform, argues that however powerful the models become, whether multi-agent systems can produce trustworthy results still depends on engineers getting infrastructure, identity and authorization, security isolation, observability and emergency stop right—and most of these problems remain unsolved. She points out that agents are isolated, stateful, single-instance workloads, unlike the stateless replicas that Kubernetes excels at, and names new runtimes suc

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  4. Story1 reports · 1 facts

    Yuchen Jin proposes that a single-person CEO plus AI can produce enormous impact

    On October 28, 2026, while commenting on Anthropic's blog post about Claude-assisted drug discovery, Yuchen Jin put forward the view that the true one-person billion-dollar company is "one smart, highly agentic CEO + AI," capable of producing an outsized impact on the world. At present, this view has been published by Yuchen Jin himself, and there are no other developments or institutional responses.

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  5. Story1 reports · 1 facts

    Avante Completes $30 Million Series A Financing

    Avante has completed a $30 million Series A funding round, led by Frist Cressey Ventures, bringing the company's total funding to $40 million. The funds will be used for global expansion and development of its agent platform. The company has launched a beta version of Ava Agents that runs in the background and outputs for team review, and says it has more than 70 customer accounts and a platform covering over 385,000 employees and dependents within 18 months of launch. Its technology calls on models from OpenAI, Anthropic and Google rather than developing its own foundation models.

    , bringing the company's total funding to $40 million. The funds will be used for global expansion and development of its agent platform. The company has launched a beta version of Ava Agents that runs in the background and outputs for team review, and says it has more than 70 customer accounts and a platform covering over 385,000 employees and dependents within 18 months of launch. Its technology calls on models from OpenAI, Anthropic and Google rather than developing its own foundation models.

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Sunday

  1. Story1 reports · 1 facts

    Linux stable kernel releases fix for CVE-2026-98432

    The Linux stable kernel fixed a use-after-free vulnerability, CVE-2026-98432, in the IPv4 TCP handshake path on October 11 and 15. The kernel CNA rated the vulnerability as CVSS 3.1 9.8 Critical, affecting versions 4.4 and later. As of October 29, kernels across Ubuntu versions are still marked as affected, and the default kernels of RHEL 8, 9, and 10 and Amazon Linux 2 have no fix yet. Anthropic said its Claude model wrote remote root exploit code in the lab targeting servers with a multipath TCP listener, but it was not disclosed.

    ter-free vulnerability, CVE-2026-98432, in the IPv4 TCP handshake path on October 11 and 15. The kernel CNA rated the vulnerability as CVSS 3.1 9.8 Critical, affecting versions 4.4 and later. As of October 29, kernels across Ubuntu versions are still marked as affected, and the default kernels of RHEL 8, 9, and 10 and Amazon Linux 2 have no fix yet. Anthropic said its Claude model wrote remote root exploit code in the lab targeting servers with a multipath TCP listener, but it was not disclosed.

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Tuesday

  1. Story1 reports · 1 facts

    Four financial institutions jointly announce a $63 billion AI financing arrangement

    Bank of America, Blackstone, Citi and Morgan Stanley jointly announced an AI financing arrangement totaling $63 billion. According to Cailianshe, the four institutions will set up an SPV to purchase custom AI chips and networking equipment from Broadcom, which are expected to be delivered in 2027 and then leased to Anthropic on a long-term basis; the financing includes approximately $43.5 billion in senior secured loans, accounting for 69% of the total financing, while the subordinated secured loans are mainly committed by Blackstone at about $18 billion, and Broadcom provides a residual value guarantee of up to $29 billion on the hardware. The Wall Street Journal reported that the financing was finalized after Broadcom CEO Hock Tan negotiated with bank executives over the weekend and agreed to raise the loan interest rate; Anthropic uses the chips under a lease arrangement, with a shell company borrowing to purchase them and repaying the loans with rental payments.

    lianshe, the four institutions will set up an SPV to purchase custom AI chips and networking equipment from Broadcom, which are expected to be delivered in 2027 and then leased to Anthropic on a long-term basis; the financing includes approximately $43.5 billion in senior secured loans, accounting for 69% of the total financing, while the subordinated secured loans are mainly committed by Blackstone at about $18 billion, and Broadcom provides a residual value guarantee of up to $29 billion on th

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