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Saturday

  1. Shanghai Observer

    Bank of Shanghai granted NaoHai AI a 3 million yuan startup guarantee loan and jointly released the content project matching platform "PaiDan NOW"

    Bank of Shanghai Jing'an Branch granted NaoHai AI a 3 million yuan startup guarantee loan; the two sides signed a framework cooperation agreement, and NaoHai AI and Shiting Jingjie jointly released the content project matching platform "PaiDan NOW". The platform connects brands' AIGC content needs with content OPC creators, providing demand publishing, project matching, production collaboration and delivery management. Bank of Shanghai's startup guarantee business has cumulatively disbursed over 5.7 billion yuan, with the fastest processing period of 7 working days.

    Bank of Shanghai Jing'an Branch granted NaoHai AI a 3 million yuan startup guarantee loan; the two sides signed a framework cooperation agreement, and NaoHai AI and Shiting Jingjie jointly released the content project matching platform "PaiDan NOW". The platform connects brands' AIGC content needs with content OPC creators, providing demand publishing, project matching, production collaboration and delivery management. Bank of Shanghai's startup guarantee business has cumulatively disbursed over

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  2. Latent SpaceSelected

    Moonshot AI releases Kimi K3.1 Pro: 2.8T total parameters, 104B activated parameters, weights scheduled to be opened on November 4

    Moonshot AI releases Kimi K3.1 Pro, a multimodal MoE model with 2.8T total parameters, 104B activated parameters, and a 1 million token context window. The Standard and Highspeed versions are now available on the Kimi website, App, Kimi Work, Kimi Code and API. The company says Highspeed offers 2–3x faster output at twice the price of the Standard version. Artificial Analysis ranks it fourth on the Intelligence Index with a score of 55, behind Opus 5.5's 58; on Arena's Code Arena WebDev it ranks 8th with 1692 points, up nine places from K3. Standard pricing is $2 per million tokens for input, $10 for output, and $0.2 for cached input, one-third lower than K3; the weights have not yet been released, and the company promises to open them on November 4.

    Moonshot AI releases Kimi K3.1 Pro, a multimodal MoE model with 2.8T total parameters, 104B activated parameters, and a 1 million token context window. The Standard and Highspeed versions are now available on the Kimi website, App, Kimi Work, Kimi Code and API. The company says Highspeed offers 2–3x faster output at twice the price of the Standard version. Artificial Analysis ranks it fourth on the Intelligence Index with a score of 55, behind Opus 5.5's 58; on Arena's Code Arena WebDev it ranks

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  3. Phoenix Technology

    Mark Cuban: Defending against runaway agents is like fighting cockroaches—you can use AI to "spray pesticide"

    Billionaire investor Mark Cuban compared cyberattacks launched by large numbers of AI agents to a cockroach infestation, arguing that AI has not created new attack methods but can carry out massive brute-force attacks, and that defenders can likewise use large numbers of AI to "spray pesticide" on systems. Over the past year, the number of security job postings OpenAI published on LinkedIn grew by 91%; Anthropic disclosed that three Claude models, due to a misconfiguration in a third-party testing environment, gained unauthorized access to actual production systems, after which it introduced a real-time classification model to block such behavior.

    Billionaire investor Mark Cuban compared cyberattacks launched by large numbers of AI agents to a cockroach infestation, arguing that AI has not created new attack methods but can carry out massive brute-force attacks, and that defenders can likewise use large numbers of AI to "spray pesticide" on systems. Over the past year, the number of security job postings OpenAI published on LinkedIn grew by 91%; Anthropic disclosed that three Claude models, due to a misconfiguration in a third-party testi

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  4. Phoenix Technology

    Harvard study: AI review comments comprehensively outperform high-level human peer reviewers across seven dimensions

    Two researchers from Harvard University published a paper on October 22 comparing 134 pairs of AI and human review comments, with AI leading comprehensively across seven evaluation dimensions. The study used Claude Opus 4.8 to generate review comments and GPT-5.5 as the blind-review judge; in all 134 comparisons GPT-5.5 chose the AI. In 30 blind reviews by three former academic journal editors-in-chief, 26 considered the AI better. The factual error rate of AI review comments was 5.5%, versus 15.9% for humans, and all 651 references cited by the AI with DOI or arXiv numbers actually exist.

    Two researchers from Harvard University published a paper on October 22 comparing 134 pairs of AI and human review comments, with AI leading comprehensively across seven evaluation dimensions. The study used Claude Opus 4.8 to generate review comments and GPT-5.5 as the blind-review judge; in all 134 comparisons GPT-5.5 chose the AI. In 30 blind reviews by three former academic journal editors-in-chief, 26 considered the AI better. The factual error rate of AI review comments was 5.5%, versus 15

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  5. Huxiu

    Workers begin to "perform" AI efficiency gains: skill stacking and distorted assessments

    After companies incorporated AI usage rates into assessments, employees began to "perform" AI efficiency gains in their weekly reports: a Visier survey shows that among 1,000 full-time US employees, 48% admitted to exaggerating their AI usage frequency or expertise. Some companies require that if the AI usage rate does not reach 70%, 20% of performance is deducted, and employees stack up large numbers of Skills with limited practical use in order to complete the task. Multiple interviewees said that AI instead added review and revision steps, and the efficiency dividend often becomes the basis for more work.

    After companies incorporated AI usage rates into assessments, employees began to "perform" AI efficiency gains in their weekly reports: a Visier survey shows that among 1,000 full-time US employees, 48% admitted to exaggerating their AI usage frequency or expertise. Some companies require that if the AI usage rate does not reach 70%, 20% of performance is deducted, and employees stack up large numbers of Skills with limited practical use in order to complete the task. Multiple interviewees said

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  6. TMTPost · AGI

    6 major AI models tested on 30 scripts: Claude has the most "Shaoxin style" flavor

    Entertainment Capital had Doubao, Kimi, DeepSeek, GPT, Qwen and Claude each write 5 episodes of a restaurant business-war short drama, 30 scripts in total. Claude was deemed to have the most "Shaoxin flavor," with dialogue rhythm and functional roles such as apprentices and disciples closest to existing Shaoxin short dramas. Doubao came second, more like a punchline generator, but three versions of its scripts never specified what the shop sells. Across the 30 scripts, "conscience" appeared in all of them, "rules" appeared in 80% of the scripts, while the word "Shaoxin" did not appear even once.

    Entertainment Capital had Doubao, Kimi, DeepSeek, GPT, Qwen and Claude each write 5 episodes of a restaurant business-war short drama, 30 scripts in total. Claude was deemed to have the most "Shaoxin flavor," with dialogue rhythm and functional roles such as apprentices and disciples closest to existing Shaoxin short dramas. Doubao came second, more like a punchline generator, but three versions of its scripts never specified what the shop sells. Across the 30 scripts, "conscience" appeared in a

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  7. Phoenix Technology

    Sydney man arrested after revealing to Claude intent to shoot at childcare center

    A 29-year-old man in Sydney, Australia, Thackeray, told Anthropic's chatbot Claude that he wanted to shoot children at a childcare center near his home; the conversation drew the attention of Interpol, and he was detained by police on the 18th local time and charged with using a communication service to commit harassment, intimidation or offensive conduct. Prosecutors' documents show he mentioned wanting to emulate Akram, the suspect in the Bondi Beach attack, in a mass killing; his defense lawyer said he merely lost emotional control and believed the conversation with Claude was private communication, and he will undergo a mental health assessment. How Interpol obtained the chat records and whether Anthropic proactively provided the conversation content are currently unclear.

    A 29-year-old man in Sydney, Australia, Thackeray, told Anthropic's chatbot Claude that he wanted to shoot children at a childcare center near his home; the conversation drew the attention of Interpol, and he was detained by police on the 18th local time and charged with using a communication service to commit harassment, intimidation or offensive conduct. Prosecutors' documents show he mentioned wanting to emulate Akram, the suspect in the Bondi Beach attack, in a mass killing; his defense lawy

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  8. Shao MengSelected

    Moonshot AI Releases Kimi K3.1 Pro: A 3T-Class Open-Weight Model Strengthening Coding, 3D and Finance Agents

    Moonshot AI has released Kimi K3.1 Pro, calling it the strongest 3T-class open-weight model, featuring a 1M-token context and multimodal capabilities. It simultaneously launched a Highspeed version that is about 2–3× faster, with full weights planned to be open-sourced before 2026-11-04. The model scores 65.7% on Terminal-Bench 4.0, above GPT-6 Astra's 58.2% and slightly below Claude Opus 5.5's 66.4%; it scores 92.7% on BenchCAD with tools and 64.4% on OfficeQA Pro v2. The open-weight version removes cyber-related data from both mid-training and RL, and its xdev-bench-hard score drops from 90.5% to 81.0%.

    Moonshot AI has released Kimi K3.1 Pro, calling it the strongest 3T-class open-weight model, featuring a 1M-token context and multimodal capabilities. It simultaneously launched a Highspeed version that is about 2–3× faster, with full weights planned to be open-sourced before 2026-11-04. The model scores 65.7% on Terminal-Bench 4.0, above GPT-6 Astra's 58.2% and slightly below Claude Opus 5.5's 66.4%; it scores 92.7% on BenchCAD with tools and 64.4% on OfficeQA Pro v2. The open-weight version re

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  9. SiliconANGLE

    Managed services support keeps neocloud GPU compute healthy—SiliconANGLE

    Alpha Compute executive Tom Richer said at the Dell Technologies New York Symposium that small neoclouds find it difficult to build a complete GPU deployment team on their own, and Dell's managed services support is key to keeping clusters healthy and profitable after they go live. Alpha Compute provides sovereign and confidential computing with Dell and Intel hardware; its 72-node St. Louis cluster uses Dell's Nvidia Blackwell systems, InfiniBand networking and direct liquid cooling, and it has signed a $31.9 million non-recourse loan agreement secured by Nvidia B300 hardware.

    Alpha Compute executive Tom Richer said at the Dell Technologies New York Symposium that small neoclouds find it difficult to build a complete GPU deployment team on their own, and Dell's managed services support is key to keeping clusters healthy and profitable after they go live. Alpha Compute provides sovereign and confidential computing with Dell and Intel hardware; its 72-node St. Louis cluster uses Dell's Nvidia Blackwell systems, InfiniBand networking and direct liquid cooling, and it has

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  10. Fortune AI

    Getting 17-Year-Olds to Change Their Minds: The Best Career Choice in the AI Era

    Ohio Wesleyan University President Matt vandenBerg argues that in the AI era, 17-year-olds should not be forced to choose a major too early; instead, they should be allowed to explore and change direction. An April study by Lumina Foundation-Gallup shows that 47% of currently enrolled college students have seriously considered changing majors because of AI's impact on employment, and 16% have already changed majors. The university therefore allows students to declare a major only in their sophomore year and sets competencies such as quantitative reasoning, scientific questioning, aesthetic thinking, listening across perspectives, and effective writing and expression as general education requirements.

    Ohio Wesleyan University President Matt vandenBerg argues that in the AI era, 17-year-olds should not be forced to choose a major too early; instead, they should be allowed to explore and change direction. An April study by Lumina Foundation-Gallup shows that 47% of currently enrolled college students have seriously considered changing majors because of AI's impact on employment, and 16% have already changed majors. The university therefore allows students to declare a major only in their sophom

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  11. MIT News · Artificial Intelligence

    MIT School of Humanities, Arts, and Social Sciences 75th Anniversary Symposium: Reaffirming the Value of Human Understanding in the AI Era

    The MIT School of Humanities, Arts, and Social Sciences (SHASS) held its 75th anniversary symposium on September 24-25. President Sally Kornbluth said that AI has already had a huge impact on research and education, and that MIT needs the school's insights and guidance more than ever. Provost Anantha Chandrakasan emphasized that the arts, humanities, and social sciences are as important as ever amid the rapid changes driven by AI, and that technical capability alone is insufficient to solve global challenges.

    The MIT School of Humanities, Arts, and Social Sciences (SHASS) held its 75th anniversary symposium on September 24-25. President Sally Kornbluth said that AI has already had a huge impact on research and education, and that MIT needs the school's insights and guidance more than ever. Provost Anantha Chandrakasan emphasized that the arts, humanities, and social sciences are as important as ever amid the rapid changes driven by AI, and that technical capability alone is insufficient to solve glob

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  12. Moonshot AI · Kimi BlogSelected

    Moonshot AI releases Kimi K3.1 Pro: a 3T-class open-weight model with a 1 million token context

    Moonshot AI releases Kimi K3.1 Pro, the first model in the K3.1 series and its strongest 3T-class open-weight model to date, with a 1 million token context window, alongside Kimi K3.1 Pro Highspeed, which is 2-3 times faster. The model is now available on Kimi.com, Kimi Work, Kimi Code and the Kimi API, with full model weights to be released on November 4. On Terminal-Bench 4.0, K3.1 Pro scores 65.7%, higher than GPT-6 Astra's 58.2% and slightly below Claude Opus 5.5's 66.4%; on the internal benchmark Kimi Code Bench 3.0 Long-horizon it scores 61.2%, higher than K3's 55.95%.

    Benchmark results for Kimi K3.1 Pro and peer models across 14 coding, science, and knowledge-work evaluations

    Moonshot AI releases Kimi K3.1 Pro, the first model in the K3.1 series and its strongest 3T-class open-weight model to date, with a 1 million token context window, alongside Kimi K3.1 Pro Highspeed, which is 2-3 times faster. The model is now available on Kimi.com, Kimi Work, Kimi Code and the Kimi API, with full model weights to be released on November 4. On Terminal-Bench 4.0, K3.1 Pro scores 65.7%, higher than GPT-6 Astra's 58.2% and slightly below Claude Opus 5.5's 66.4%; on the internal ben

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Friday

  1. NVIDIA Developer · Generative AI

    NVIDIA uses AI agents to teach the Microduck robot to walk in simulation

    NVIDIA demonstrated a workflow for training the Microduck robot to complete an obstacle course in simulation: Hermes and Nemotron 3.5 Bolt turn prompts into project plans on RTX Spark, Astra generates 3D assets, and the scene is built in Isaac Sim. Isaac Lab uses 4096 parallel environments to train perception and locomotion policies on an RTX PRO 6000 Blackwell Workstation Edition GPU, then returns to RTX Spark for local validation and preparation for sim-to-real transfer.

    Microduck robot in an obstacle course with labeled ramps, platforms, a rubber mat, and other objects.

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  2. The Beijing News

    MIIT: Combine "trade-in" to accelerate the popularization of AI computers, mobile phones and other products

    Wei Wei, Director of the Science and Technology Department of the MIIT, said at a State Council Information Office press conference that the next step will be to join forces with the Ministry of Commerce and other departments to accelerate the popularization of AI computers, mobile phones and other products through channels such as "trade-in," and to promote the development and iteration of intelligent terminals such as brain-computer interfaces and embodied intelligence. According to estimates, in 2025 the scale of China's AI core industry will exceed 1.2 trillion yuan, and the penetration rate of AI technology applications among manufacturing enterprises above designated size will exceed 30%.

    Wei Wei, Director of the Science and Technology Department of the MIIT, said at a State Council Information Office press conference that the next step will be to join forces with the Ministry of Commerce and other departments to accelerate the popularization of AI computers, mobile phones and other products through channels such as "trade-in," and to promote the development and iteration of intelligent terminals such as brain-computer interfaces and embodied intelligence. According to estimates,

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  3. The Beijing News

    MIIT: Full-year humanoid robot complete-unit output expected to exceed 100,000 units

    Wei Wei, Director of the Department of Science and Technology of the Ministry of Industry and Information Technology, said at a State Council Information Office press conference that in the first half of this year China's humanoid robot complete-unit products exceeded 400 models with output surpassing 40,000 units, and full-year output is expected to exceed 100,000 units. Related products have been validated and deployed in more than 300 key scenarios including warehousing and logistics, catering and retail, and home services. Next steps will advance key technology breakthroughs, scenario opening, and release the "National Humanoid Robot Industry Standards System Construction Guide (2026 Edition)".

    Wei Wei, Director of the Department of Science and Technology of the Ministry of Industry and Information Technology, said at a State Council Information Office press conference that in the first half of this year China's humanoid robot complete-unit products exceeded 400 models with output surpassing 40,000 units, and full-year output is expected to exceed 100,000 units. Related products have been validated and deployed in more than 300 key scenarios including warehousing and logistics, caterin

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  4. Fortune Tech

    Two former US officials from opposing parties: How to solve the data center mess

    The two authors, who headed the EPA under the Biden administration and FERC under the Trump administration, argue that data center development has outpaced regulatory rules, communities are pushing back over electricity costs, pollution, water resources and noise, and grid operators are issuing reliability warnings. They contend that a simple "no" is not the answer; instead, drawing on the historical experience of the 1926 Air Commerce Act, a federal framework should be established that balances national competitiveness with community interests.

    The two authors, who headed the EPA under the Biden administration and FERC under the Trump administration, argue that data center development has outpaced regulatory rules, communities are pushing back over electricity costs, pollution, water resources and noise, and grid operators are issuing reliability warnings. They contend that a simple "no" is not the answer; instead, drawing on the historical experience of the 1926 Air Commerce Act, a federal framework should be established that balances

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  5. Fortune AI

    AI Is Everywhere, Yet Not in GDP Data—What Will Trigger the Inflection Point

    AI has permeated every earnings call and boardroom deck, with enterprise generative AI spending reaching $30 billion to $40 billion in 2025, yet productivity statistics show almost no change. The only exception is data center construction: in 2025, hyperscalers invested more than $300 billion in data centers, chips, and power grids, which is already counted in GDP as private nonresidential fixed investment. The author believes AI will not take 15 years to show up in productivity data the way computers did, but only 5 to 8 years.

    AI has permeated every earnings call and boardroom deck, with enterprise generative AI spending reaching $30 billion to $40 billion in 2025, yet productivity statistics show almost no change. The only exception is data center construction: in 2025, hyperscalers invested more than $300 billion in data centers, chips, and power grids, which is already counted in GDP as private nonresidential fixed investment. The author believes AI will not take 15 years to show up in productivity data the way com

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  6. Fortune AI

    Twilio CMO: We used AI to shrink two weeks of work into one day, and then the truly tedious work began

    Twilio CMO Chris Koehler said that the marketing team's research and personalized content creation for a single customer used to take more than two weeks, but now takes less than a day, and quarterly account-based marketing campaigns increased from 3 to up to 15. He divided enterprise AI implementation into three stages: individual efficiency, team collaboration, and end-to-end autonomy, and said Twilio is currently in the second stage. He also pointed out that brand consistency, data governance, and integration are the key issues, with only 8.4% of data leaders believing their data is ready for production-grade AI.

    Twilio CMO Chris Koehler said that the marketing team's research and personalized content creation for a single customer used to take more than two weeks, but now takes less than a day, and quarterly account-based marketing campaigns increased from 3 to up to 15. He divided enterprise AI implementation into three stages: individual efficiency, team collaboration, and end-to-end autonomy, and said Twilio is currently in the second stage. He also pointed out that brand consistency, data governance

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