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Wednesday

  1. Ma Dongxi NLP

    Reinforcement Learning Terminology for LLM Readers: How a Single Score Is Distributed to Each Token

    The article uses DeepSeek-R1-Zero's pass@1 on AIME 2024 rising from 15.6% to 71.0% as an example to show that a rule-based judge gives only a single score for the entire response, whereas training needs to adjust the probability of each token. The author uses the sampling example "Is OpenAI open?" to explain in turn policy, state, action, reward, return, value, Q, advantage, baseline, TD error, GAE, clipping, and KL, and points out that PPO uses a critic to learn V, while GRPO uses the average score within a group to replace V.

    The article uses DeepSeek-R1-Zero's pass@1 on AIME 2024 rising from 15.6% to 71.0% as an example to show that a rule-based judge gives only a single score for the entire response, whereas training needs to adjust the probability of each token. The author uses the sampling example "Is OpenAI open?" to explain in turn policy, state, action, reward, return, value, Q, advantage, baseline, TD error, GAE, clipping, and KL, and points out that PPO uses a critic to learn V, while GRPO uses the average s

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  2. Testing Catalog

    Artificial Analysis Intelligence Index v5 is live, Claude…

    Artificial Analysis Intelligence Index v5 is live, featuring 2 new benchmarks and 3 upgrades, of which 60% are based on private test sets or held-out answers. Claude Opus 5.5 (max) leads with 58 points, followed closely by GPT-6 Astra (max) at 57 points and GPT-6.1 Sol (max) at 55 points, with Gemini 4 Argon (high) further back at 50 points. The gap between open-weight models and the leader has widened from 3 points to 12 points; among released weights, DeepSeek V4.1 Flash 1017 (max) and GLM-5.3 (max) lead with 32 points.

    Artificial Analysis Intelligence Index v5 is live, featuring 2 new benchmarks and 3 upgrades, of which 60% are based on private test sets or held-out answers. Claude Opus 5.5 (max) leads with 58 points, followed closely by GPT-6 Astra (max) at 57 points and GPT-6.1 Sol (max) at 55 points, with Gemini 4 Argon (high) further back at 50 points. The gap between open-weight models and the leader has widened from 3 points to 12 points; among released weights, DeepSeek V4.1 Flash 1017 (max) and GLM-5.3

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  3. Testing Catalog

    October 28 AI Daily Brief: Genie 4 and MAI-Image-2.7 Released

    Google DeepMind released the interactive world model Genie 4, which supports natural language control and native audio. It is first being opened to Trusted Testers, with later integration into Google AI Ultra and the Gemini API. Microsoft AI launched the image editing model MAI-Image-2.7-Preview, ranking 3rd on Arena Edit and 2nd on AA-Image-Editing. Liquid AI open-sourced the LFM3 series of six 2B-class text, vision, audio, and omni-modal models, using a triple-hybrid architecture.

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  4. Karl's AI Watts

    Doubao Work launches record & replay feature, supports narrating while operating for up to 30 minutes

    Doubao Work has launched a record & replay feature that can record computer operation processes and hand them to AI to generate step-by-step instructions and replicate them, similar to a simplified version of RPA. Compared with Codex's similar capability, it additionally supports narrating while operating, with a maximum recording length of 30 minutes, and prioritizes audio conversion during processing. The author tested it for tasks such as cross-platform content collection and WeChat Official Account formatting and publishing, and noted that if a task occupies the same window during execution, it will actively pause, while opening multiple web pages at the same time is not affected.

    Doubao Work has launched a record & replay feature that can record computer operation processes and hand them to AI to generate step-by-step instructions and replicate them, similar to a simplified version of RPA. Compared with Codex's similar capability, it additionally supports narrating while operating, with a maximum recording length of 30 minutes, and prioritizes audio conversion during processing. The author tested it for tasks such as cross-platform content collection and WeChat Official

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Thursday

  1. A Yi AI Notes

    Huang Renxun on How to Face AI at 20 and 40

    NVIDIA CEO Huang Renxun, in a CNN exclusive interview, responded to the question of "confusion at 20, panic at 40," saying that when intelligence is mass-produced on assembly lines, the rules of human competition have been completely reshuffled, and there is no need to intimidate oneself with age and seniority. He did not peddle anxiety, nor did he suggest signing up for classes or certifications.

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  2. Aditya Agarwal

    South Park Commons Uses Five Dimensions to Identify Early-Stage Founders

    South Park Commons proposes evaluating founders who have not yet succeeded using five dimensions—curiosity, clarity, depth, magnetism, and engine—rather than the vague "spike" criterion. The framework has been applied to projects including Baseten (a 2019 bet on inference), Goodfire (2024, interpretability), Gamma, Profound, Density, and Gradient Robotics. SPC emphasizes observing founders' growth slope through long-term in-person community involvement rather than performance across two or three pitch sessions.

    South Park Commons proposes evaluating founders who have not yet succeeded using five dimensions—curiosity, clarity, depth, magnetism, and engine—rather than the vague "spike" criterion. The framework has been applied to projects including Baseten (a 2019 bet on inference), Goodfire (2024, interpretability), Gamma, Profound, Density, and Gradient Robotics. SPC emphasizes observing founders' growth slope through long-term in-person community involvement rather than performance across two or three

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  3. Shao Meng

    How the Amp team operates with 21 people and Agents replacing processes

    English text is being prepared.

    The Amp team has about 21 people, holds only one meeting a week, has no quarterly goals, no mandatory PRs and code reviews, pushes directly to main, averages about 90 releases per day, and takes about 7.7 minutes from entering main to being available to everyone. Quality relies on first having Agents provide end-to-end evidence, everyone trying the product, and feature flag controls, rather than on process. The two founders emphasize that this form depends on having few people, having worked tog

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  4. Artificial Analysis

    Artificial Analysis releases the image-to-video benchmark AA-Video-I2V v2.1

    Artificial Analysis launches the image-to-video evaluation benchmarks AA-Video-I2V v2.1 and AA-Video-I2V-Silent v2.1, ranking models at up to 1080p resolution across 10 use-case categories, 10 capabilities, and multiple visual styles. The two versions are based on more than 58,000 human preference votes across over 1,000 prompts and more than 44,000 votes across 500 prompts, respectively, with only 5% of prompts made public in the public arena and rotated monthly. In the first version of the leaderboard, Dreamina Seedance 2.5 ranks first overall, statistically tied with the Seedance 2.0 and MiniMax H3 series, at a price of $34.12/min; the open-weight MiniMax H3 (768p) ranks third, at a price of $4.80/min.

    Artificial Analysis launches the image-to-video evaluation benchmarks AA-Video-I2V v2.1 and AA-Video-I2V-Silent v2.1, ranking models at up to 1080p resolution across 10 use-case categories, 10 capabilities, and multiple visual styles. The two versions are based on more than 58,000 human preference votes across over 1,000 prompts and more than 44,000 votes across 500 prompts, respectively, with only 5% of prompts made public in the public arena and rotated monthly. In the first version of the lea

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  5. Artificial AnalysisSelected

    Gemini 4 Carbon Tops the Artificial Analysis Intelligence Index…

    Artificial Analysis evaluations show that Google's Gemini 4 Carbon tops Intelligence Index v5 with 59 points, ranking first in four of the 9 evaluations: HLE-Diamond, Terminal-Bench-Science, AA-Omniscience, and AutomationBench-AA. On the Coding Agent Index, Gemini 4 Carbon (high) paired with Antigravity CLI scores 59 points, 3 points behind Claude Code paired with Claude Opus 5.5 (max, 62 points). The model is currently available only to some users and has not yet been publicly released; it is priced at $4/$20 per 1M input/output tokens with a 50% discount, has a 1M-token context window, and supports text, image, video, and voice input.

    Artificial Analysis evaluations show that Google's Gemini 4 Carbon tops Intelligence Index v5 with 59 points, ranking first in four of the 9 evaluations: HLE-Diamond, Terminal-Bench-Science, AA-Omniscience, and AutomationBench-AA. On the Coding Agent Index, Gemini 4 Carbon (high) paired with Antigravity CLI scores 59 points, 3 points behind Claude Code paired with Claude Opus 5.5 (max, 62 points). The model is currently available only to some users and has not yet been publicly released; it is p

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  6. IEEE Spectrum

    Why Systems Thinking Is Needed in the AI Era: The Engineer's Role Is Shifting

    An IEEE Spectrum article points out that AI can help engineers complete early-stage steps such as literature research, design generation, and simulation testing, and the engineer's role is therefore shifting from executing every technical step to coordinating the division of labor among people, machines, and expert knowledge. The article emphasizes that AI will give seemingly credible answers when assumptions are weak, making human judgment and systems thinking all the more important, and recommends that IEEE build communities around cross-domain issues such as clinical AI and resilient infrastructure and develop standards for human-machine collaboration.

    An IEEE Spectrum article points out that AI can help engineers complete early-stage steps such as literature research, design generation, and simulation testing, and the engineer's role is therefore shifting from executing every technical step to coordinating the division of labor among people, machines, and expert knowledge. The article emphasizes that AI will give seemingly credible answers when assumptions are weak, making human judgment and systems thinking all the more important, and recomm

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Friday

  1. Tibo

    OpenAI doubles usage limits for Pro 100/200/500 and Business Premium

    OpenAI announced that effective immediately, usage limits for all Pro 100/200/500 tiers and Business Premium are doubled. The company said that after listening to feedback, it will no longer reduce usage for Pro 200, usage for Work and Codex remains unchanged, extended quotas for dots will continue to be offered for now, and dot usage is still counted separately from default usage. The company also said it will continue to release better models and efficiency improvements to increase effective usable capacity.

    OpenAI announced that effective immediately, usage limits for all Pro 100/200/500 tiers and Business Premium are doubled. The company said that after listening to feedback, it will no longer reduce usage for Pro 200, usage for Work and Codex remains unchanged, extended quotas for dots will continue to be offered for now, and dot usage is still counted separately from default usage. The company also said it will continue to release better models and efficiency improvements to increase effective u

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  2. Peter Yang

    Peter Yang: Linear doesn't just serve engineers; it can also store context for agents

    Peter Yang commented that Linear isn't only engineer-friendly; it's equally so for roles like PM and data scientist. It can also store a company's most important context and pass it to different agents (including Linear's own agents). The Linear post he cited introduced how Scout24's CTO is using agents to rebuild the entire organization's software delivery process.

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  3. Rohan Paul

    Princeton and Meta propose Self-Direction: storing agent error-correction experience as reusable LoRA adapters

    A new paper from Princeton and Meta proposes the Self-Direction method, which lets a failed agent reflect on the current run and trains the lessons into a LoRA adapter about 0.02% the size of the model; a router then loads the closest adapter when a similar failure is encountered. On Qwen3.6-27B, the GAIA task success rate rises from 38.8% to 55.8%, outperforming in-context reflection and the Skills.md file approach. Of 185 errors that had occurred previously, 67.3% of fixes were still effective by the third encounter, versus 42.9% for simple retries.

    A new paper from Princeton and Meta proposes the Self-Direction method, which lets a failed agent reflect on the current run and trains the lessons into a LoRA adapter about 0.02% the size of the model; a router then loads the closest adapter when a similar failure is encountered. On Qwen3.6-27B, the GAIA task success rate rises from 38.8% to 55.8%, outperforming in-context reflection and the Skills.md file approach. Of 185 errors that had occurred previously, 67.3% of fixes were still effective

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  4. Shao Meng

    Fangcun Lab releases an 87-page safety evaluation report on DeepSeek V4.1 Flash-1017

    The third-party evaluation lab Fangcun (@FangcunLeap) from China has released an 87-page report evaluating DeepSeek V4.1 Flash-1017's performance on loss of control and harmful manipulation. The report finds that it shows clear safety progress compared with the DeepSeek V4 generation, approaching or even matching the top closed-source models tested in the report on points such as "not strategically hiding capabilities and still respecting approval boundaries under work pressure." Shortcomings include overly strong evaluation awareness, more frequent overreach in long multi-step tasks than the previous V4.1 Flash generation, greater stance drift under multi-turn persuasion than the GPT in the report, and executing in most conversations when the system prompt asks it to mislead users.

    The third-party evaluation lab Fangcun (@FangcunLeap) from China has released an 87-page report evaluating DeepSeek V4.1 Flash-1017's performance on loss of control and harmful manipulation. The report finds that it shows clear safety progress compared with the DeepSeek V4 generation, approaching or even matching the top closed-source models tested in the report on points such as "not strategically hiding capabilities and still respecting approval boundaries under work pressure." Shortcomings in

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  5. Aaron Levie

    Box CEO Aaron Levie: The Gap Between the AI Frontier and the General Public Is Accelerating

    Box CEO Aaron Levie believes that the gap between AI frontier practitioners and everyone else is not narrowing but continues to widen, because the AI capability curve is rising almost vertically. He points out that processes solidified 3-6 months ago may already be outdated today, that companies which completed their transformation a year ago face an even larger gap, and that AI-native companies therefore hold a clear advantage, with the pressure falling on whether large companies can keep up.

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  6. Arena

    Exo Architecture: AI Agent Runtime Self-Improvement

    Alex Krentsel, a Senior Research Scientist at Google Research and a PhD student at UC Berkeley, shared the self-improving AI agent architecture Exo at Arena. Drawing on the exokernel approach from operating systems, it splits the agent into a protected mechanism layer (state, history, keys, and a "guardian") and a fully evolvable policy layer. On benchmarks and open-world RuneScape tasks, Exo is 31-62% cheaper than Codex and Pi.

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  7. The Register

    Howler: AI Burns Chat Logs After Answering Questions

    Developer Aries Zhou has launched Howler, an open-source macOS app: press Option+H to summon a parchment-style interface for asking questions, and press Escape to have the conversation "burn up" like a Howler in *Harry Potter*; messages exist only in memory, leaving no history. It connects to AI via an API key or a local model, the key is stored in the macOS Keychain, and requests go directly to the provider without a relay; however, AI providers may still retain records.

    Developer Aries Zhou has launched Howler, an open-source macOS app: press Option+H to summon a parchment-style interface for asking questions, and press Escape to have the conversation "burn up" like a Howler in Harry Potter ; messages exist only in memory, leaving no history. It connects to AI via an API key or a local model, the key is stored in the macOS Keychain, and requests go directly to the provider without a relay; however, AI providers may still retain records.

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  8. Jiwei.com

    Intel's weak fourth-quarter guidance sends shares plunging 20% after hours, blamed on PC market slowdown

    Intel reported third-quarter fiscal 2026 revenue of $16.51 billion and adjusted EPS of 52 cents, but its fourth-quarter revenue guidance of only $15 billion to $16 billion and adjusted EPS of 25 cents came in far below analysts' expectations of $17.1 billion and 43 cents, sending shares down 20% after hours. Revenue at its Client Computing and Physical AI segment fell to $8.1 billion, down 5% year over year, while Data Center and AI revenue surged 78% to $7.3 billion. CFO David Zinsner said the PC market slowdown will last at least through the first half of next year, and an explosion at its Israeli fab is expected to cause about $600 million in revenue losses over two quarters.

    Intel reported third-quarter fiscal 2026 revenue of $16.51 billion and adjusted EPS of 52 cents, but its fourth-quarter revenue guidance of only $15 billion to $16 billion and adjusted EPS of 25 cents came in far below analysts' expectations of $17.1 billion and 43 cents, sending shares down 20% after hours. Revenue at its Client Computing and Physical AI segment fell to $8.1 billion, down 5% year over year, while Data Center and AI revenue surged 78% to $7.3 billion. CFO David Zinsner said the

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  9. Jiwei.com

    Toward 6G: MIMO Continues to Evolve, Foundational Innovation Unlocks Long-Term Value

    The 3GPP Release 21 timeline has been finalized. 6G will carry forward 5G baseline technologies such as waveforms, modulation, frame structure, and channel coding, and will only extend them when there are quantifiable gains in dimensions such as spectral efficiency, energy consumption, and coverage. MIMO is evolving into a system-level design framework spanning all 6G frequency bands. Giga-MIMO extends massive MIMO to the upper mid-band at 6-8 GHz; Qualcomm assesses that it can achieve roughly 5x network capacity expansion and about 3x improvement in average user throughput, supporting up to 32 layers in the downlink.

    The 3GPP Release 21 timeline has been finalized. 6G will carry forward 5G baseline technologies such as waveforms, modulation, frame structure, and channel coding, and will only extend them when there are quantifiable gains in dimensions such as spectral efficiency, energy consumption, and coverage. MIMO is evolving into a system-level design framework spanning all 6G frequency bands. Giga-MIMO extends massive MIMO to the upper mid-band at 6-8 GHz; Qualcomm assesses that it can achieve roughly 5

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  10. 36Kr · AI

    Wen Shilei, Head of ByteDance's Commercialization GenAI R&D, Resigns and Joins Embodied AI Company Octopus Dynamics

    Wen Shilei, head of ByteDance's commercialization GenAI R&D, has completed his resignation and joined embodied AI company Octopus Dynamics as a partner. Previously, within four months, the team's head Peng Bingyue and China head Yuan Zehuan resigned in succession; the remaining personnel have been reassigned, and the independent organizational structure has effectively come to an end. Octopus Dynamics was founded in January 2026 and has completed a seed round of nearly $50 million, with cumulative funding of nearly 1 billion yuan.

    Wen Shilei, head of ByteDance's commercialization GenAI R&D, has completed his resignation and joined embodied AI company Octopus Dynamics as a partner. Previously, within four months, the team's head Peng Bingyue and China head Yuan Zehuan resigned in succession; the remaining personnel have been reassigned, and the independent organizational structure has effectively come to an end. Octopus Dynamics was founded in January 2026 and has completed a seed round of nearly $50 million, with cumulati

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