Ethan Mollick says that under every one of his posts there are a large number of obvious AI spam replies; worse still, when real people (for example, employees of Anthropic) respond to the questions he raises, the reply algorithm does not prioritize showing these real human replies. He believes this can no longer be considered social media.
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Anthropic has raised the maximum request size for Messages and Token Counting on the Claude API from 32 MB to 128 MB, saying 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. Thread addendum: for requests with more than 20 images, the per-image limit is raised from 2000 px to 3000 px; the 128 MB limit applies only to the first-party Claude API, and calls made through cloud platforms are capped between 20 and 32 MB.
Anthropic has raised the maximum request size for Messages and Token Counting on the Claude API from 32 MB to 128 MB, saying 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. Thread addendum: for requests with more than 20 images, the per-image limit is raised from 2000 px to 3000 px; the 128 MB limit applies only to the first-party Claude API, and calls made through cloud platforms
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OpenClaw posted that the number of agents continues to grow, but users do not need to keep everything in memory, and said it has provided a corresponding solution. The post cited McBain's roundup of this week's personal AI agent developments, involving OpenAI, Meta, Anthropic, OpenClaw, and others.
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Artificial Analysis released Intelligence Index v5 and the new Progress Index in San Francisco. Intelligence Index v5 adds two benchmarks and three upgrades, increases the weighting of agentic coding and science, and for the first time makes most of the index based on private test sets or held-out answers. The Progress Index uses item response theory to estimate a general capability score for each model across dozens of evaluations measured over time, including evaluations that have been retired or excluded from the Intelligence Index. It builds on prior work by Epoch AI Research and Anthropic, placing models on a single capability scale. According to the official statement, the Intelligence Index remains the flagship metric for choosing which model to use right now, while the Progress Index is better suited to depicting long-term trends.
ry to estimate a general capability score for each model across dozens of evaluations measured over time, including evaluations that have been retired or excluded from the Intelligence Index. It builds on prior work by Epoch AI Research and Anthropic, placing models on a single capability scale. According to the official statement, the Intelligence Index remains the flagship metric for choosing which model to use right now, while the Progress Index is better suited to depicting long-term trends.
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OpenAI product lead Tibo announced that usage limits for the Pro 100, Pro 200, Pro 500, and Business Premium plans have all been doubled, and that the quota reduction for Pro 200 has been withdrawn; Pro 500 can get usage equivalent to 50 times that of Plus. The article notes that this falls on day 25 of OpenAI's 28-day improvement plan, and some Pro 200 users believe it merely cancels a planned reduction rather than adding new benefits. The article also reviews the hidden token consumption caused by backend sub-agent status summaries in Codex and Claude Code; an Anthropic engineer said that agent_summary, at API list prices, accounts for about 2% of total cost, and that the issue of missed prompt caching has been fixed in Claude Code 2.1.311 and later versions.
otes that this falls on day 25 of OpenAI's 28-day improvement plan, and some Pro 200 users believe it merely cancels a planned reduction rather than adding new benefits. The article also reviews the hidden token consumption caused by backend sub-agent status summaries in Codex and Claude Code; an Anthropic engineer said that agent summary, at API list prices, accounts for about 2% of total cost, and that the issue of missed prompt caching has been fixed in Claude Code 2.1.311 and later versions.
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OpenAI has doubled the usage limits for several paid tiers, covering the Work and Codex quotas for Pro 100 and Pro 500, both of which receive twice their previous allowances. The lower-tier quota for Pro 200 is likewise doubled, and a previously planned reduction has been withdrawn; the Plus plan remains unchanged, and the new allowances apply automatically to both new subscriptions and existing users. OpenAI says that doubling quotas does not equal doubling the number of completed tasks, because consumption varies with the model, task type, and settings. The move comes as Anthropic prepares for an IPO and the two companies compete for B2B dominance.
ious allowances. The lower-tier quota for Pro 200 is likewise doubled, and a previously planned reduction has been withdrawn; the Plus plan remains unchanged, and the new allowances apply automatically to both new subscriptions and existing users. OpenAI says that doubling quotas does not equal doubling the number of completed tasks, because consumption varies with the model, task type, and settings. The move comes as Anthropic prepares for an IPO and the two companies compete for B2B dominance.
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OpenAI has updated its Model Spec document, restructuring the framework into five principles: loyalty to human intent, reducing harm, honesty and transparency, safeguarding people's right to make their own choices, and prudence and diligence, with loyalty to human intent as the foundation of the entire framework. OpenAI says its current models cannot yet fully comply with the new version of the spec, and the team is researching new training methods to help models internalize these principles. This adjustment is similar to Anthropic's constitutional AI approach.
work into five principles: loyalty to human intent, reducing harm, honesty and transparency, safeguarding people's right to make their own choices, and prudence and diligence, with loyalty to human intent as the foundation of the entire framework. OpenAI says its current models cannot yet fully comply with the new version of the spec, and the team is researching new training methods to help models internalize these principles. This adjustment is similar to Anthropic's constitutional AI approach.
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Anthropic has upgraded the Claude mobile app. The voice mode on the iPhone version now supports Apple CarPlay, allowing users to ask Claude questions directly while driving. Claude has added 24 new languages across web, desktop, iOS and Android, bringing total support to 33 languages, while voice mode responds faster and recognizes speech more accurately in noisy environments. The iOS and Android versions also support logging in to multiple accounts simultaneously and switching between them directly.
Anthropic has upgraded the Claude mobile app. The voice mode on the iPhone version now supports Apple CarPlay, allowing users to ask Claude questions directly while driving. Claude has added 24 new languages across web, desktop, iOS and Android, bringing total support to 33 languages, while voice mode responds faster and recognizes speech more accurately in noisy environments. The iOS and Android versions also support logging in to multiple accounts simultaneously and switching between them dire
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Nvidia is in talks with emerging AI cloud service provider Nscale to provide over $5 billion in credit guarantees for the debt financing of a 460-megawatt data center Nscale plans to build in West Virginia, USA; the agreement has not yet been signed. The data center will serve Anthropic, with the two parties having signed a $45 billion lease contract, and the facility will be equipped with Nvidia Vera Rubin GPUs. The guarantee takes the form of a residual value guarantee and covers the data center facility itself rather than the lease or the chips. To date, Nvidia has provided approximately $170 billion in credit support and investment to customers including emerging cloud providers.
edit guarantees for the debt financing of a 460-megawatt data center Nscale plans to build in West Virginia, USA; the agreement has not yet been signed. The data center will serve Anthropic, with the two parties having signed a $45 billion lease contract, and the facility will be equipped with Nvidia Vera Rubin GPUs. The guarantee takes the form of a residual value guarantee and covers the data center facility itself rather than the lease or the chips. To date, Nvidia has provided approximately
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Wall Street law firm Weil, Gotshal & Manges has announced its dissolution, and legal AI startup Crosby has submitted a letter of intent to acquire its internal data, trademarks and brand, and to recruit some of its lawyers. According to The Information, what Crosby values is non-client-specific data such as the firm's M&A agreement templates and contract templates for each stage of negotiations, which can be used for model fine-tuning. Crosby has been founded for less than two years, has raised more than $80 million, and is valued at $400 million; its AI agents connect to the underlying models of OpenAI, Anthropic and Google.
nt to acquire its internal data, trademarks and brand, and to recruit some of its lawyers. According to The Information, what Crosby values is non-client-specific data such as the firm's M&A agreement templates and contract templates for each stage of negotiations, which can be used for model fine-tuning. Crosby has been founded for less than two years, has raised more than $80 million, and is valued at $400 million; its AI agents connect to the underlying models of OpenAI, Anthropic and Google.
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Google has released Gemini 4 Carbon, just two weeks after the release of the previous-generation frontier model Gemini 4 Argon. According to Google, Carbon surpassed Anthropic's Claude Opus 5.5 to take first place on Artificial Analysis's Intelligence Index, while Argon had previously ranked only sixth. Carbon mainly improves complex coding tasks and cybersecurity capabilities, scoring 88.2% on SEC-bench Pro, higher than Argon's 83.4% and OpenAI GPT-6 Astra's 85.4%; however, it still trails Claude Opus 5.5 on the Coding Agent Index, Terminal-Bench, and Frontiercode. Currently, Carbon is available only to selected users such as cybersecurity defense experts, and will be opened to developers, enterprises, and consumers only after passing the U.S. government's voluntary pre-review process.
Google has released Gemini 4 Carbon, just two weeks after the release of the previous-generation frontier model Gemini 4 Argon. According to Google, Carbon surpassed Anthropic's Claude Opus 5.5 to take first place on Artificial Analysis's Intelligence Index, while Argon had previously ranked only sixth. Carbon mainly improves complex coding tasks and cybersecurity capabilities, scoring 88.2% on SEC-bench Pro, higher than Argon's 83.4% and OpenAI GPT-6 Astra's 85.4%; however, it still trails Clau
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Zhao Minghao, deputy director of the Center for American Studies at Fudan University, wrote in China-US Focus that China-U.S. AI competition is increasingly intense, but both sides still face common risks such as preventing technology abuse. They 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 noted 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.
sues 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 noted 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.
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ModelBest OpenBMB thanks atomic.chat for the demo: running the 1.2GB MiniCPM-OCR 1.0 locally on an M5 Max MacBook, it processed all 415 pages of Anthropic's S-1 filing at about 4 seconds per page, with data never leaving the device throughout.
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Based on 20,869 traces from Agent Arena: Code, Arena compared the user complaint signals for five top-tier models from Anthropic and OpenAI against other agents, and found that frontier models differ most noticeably along three dimensions. Complaints about failure-repair loops were 6.9 percentage points lower, and complaints about ignoring project context were 1.9 percentage points lower; complaints about design issues were 6.4 percentage points lower, and complaints about producing usable results were 5.8 percentage points lower. Complaints about instruction following, task completion, and breaking existing code were 5.6, 4.9, and 4.5 percentage points lower, respectively.
Based on 20,869 traces from Agent Arena: Code, Arena compared the user complaint signals for five top-tier models from Anthropic and OpenAI against other agents, and found that frontier models differ most noticeably along three dimensions. Complaints about failure-repair loops were 6.9 percentage points lower, and complaints about ignoring project context were 1.9 percentage points lower; complaints about design issues were 6.4 percentage points lower, and complaints about producing usable resul
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OpenBMB reposted atomic.chat's real-world test: the 1.2GB MiniCPM-OCR 1.0 processed all 415 pages of Anthropic's S-1 on an M5 Max MacBook at about 4 seconds per page, with all data staying local throughout, and shared the GGUF files with the community. OpenBMB expressed its thanks for this.
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Anthropic's Claude can now decompile compiled game code into source code overnight and help mash up two games, turning game modding from a months-long endeavor into a single evening's work. The author notes that a large number of open-source launchers based on emulator code have appeared on GitHub, and PS5 emulation has made enormous progress, with almost any PS5 game able to run for free on PC—many of them clearly illegal. This poses a huge shock to publishers who do not want their game code made public.
Anthropic's Claude can now decompile compiled game code into source code overnight and help mash up two games, turning game modding from a months-long endeavor into a single evening's work. The author notes that a large number of open-source launchers based on emulator code have appeared on GitHub, and PS5 emulation has made enormous progress, with almost any PS5 game able to run for free on PC—many of them clearly illegal. This poses a huge shock to publishers who do not want their game code ma
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OpenAI has released a new model, GPT-6.1 Terra, priced at $1 per million input tokens and $5 per million output tokens, 50% cheaper than GPT-6.1 Sol's $2 and $10. OpenAI says the model is fast and efficient, combining visual reasoning with precise computer operation, and excels at tasks such as drafting proposals, filling out forms, and editing videos. This is OpenAI's fourth consecutive model price cut, and Anthropic also cut the price of Haiku 5.5 by 90% in October.
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In Coding Agent Index v2.0, Artificial Analysis benchmarked GitHub Copilot's Copilot Fusion, which costs $5.59 per task, compared with $11.42 for Claude Code with Opus 5.5 (max), while performing only 2 points lower. Copilot Fusion is a runtime orchestration system that selects and coordinates among Anthropic and OpenAI models such as Claude Opus 5.5, Claude Sonnet 5.5, GPT-6 Astra, and GPT-6 Sol. It leads on Terminal-Bench 4.0 with a score of 71, ranks third on FrontierCode with 51 points, and uses 7.2M tokens per task, about half that of Opus 5.5 in Claude Code.
ilot's Copilot Fusion, which costs $5.59 per task, compared with $11.42 for Claude Code with Opus 5.5 (max), while performing only 2 points lower. Copilot Fusion is a runtime orchestration system that selects and coordinates among Anthropic and OpenAI models such as Claude Opus 5.5, Claude Sonnet 5.5, GPT-6 Astra, and GPT-6 Sol. It leads on Terminal-Bench 4.0 with a score of 71, ranks third on FrontierCode with 51 points, and uses 7.2M tokens per task, about half that of Opus 5.5 in Claude Code.
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Coforge has launched the Autonomous Software Factory (ASF) to orchestrate AI agents across the software development lifecycle, covering coding, testing, validation, code review, and quality assurance, with specialized agents able to execute these tasks in parallel within secure execution environments. Coforge says the model includes governance and human oversight, but did not disclose implementation details, customer deployments, commercial terms, or quantified productivity gains. HCLTech also plans to integrate Anthropic's Claude and Claude Code into its AI Force platform.
nts across the software development lifecycle, covering coding, testing, validation, code review, and quality assurance, with specialized agents able to execute these tasks in parallel within secure execution environments. Coforge says the model includes governance and human oversight, but did not disclose implementation details, customer deployments, commercial terms, or quantified productivity gains. HCLTech also plans to integrate Anthropic's Claude and Claude Code into its AI Force platform.
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AI Business reported that, in the week ending October 25, Chinese models accounted for more than half of the token statistics on OpenRouter, whereas about a year ago only one of the nine models on the site's weekly usage list came from China. Red Hat is internally piloting self-hosted GLM, used by up to 1,400 engineers, with about 70% of inference traffic going to open source models, and it controls costs with a frontier model quota of $300 per person per month. DataCamp, due to latency and insufficient capacity from open source model providers, is shifting from Anthropic to OpenAI and has not yet moved its AI tutor to open source models.
as about a year ago only one of the nine models on the site's weekly usage list came from China. Red Hat is internally piloting self-hosted GLM, used by up to 1,400 engineers, with about 70% of inference traffic going to open source models, and it controls costs with a frontier model quota of $300 per person per month. DataCamp, due to latency and insufficient capacity from open source model providers, is shifting from Anthropic to OpenAI and has not yet moved its AI tutor to open source models.
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