MiniMax Recaps H3 Open-Source Ecosystem Progress: 11 New Community Integrations

Model Releases & Updates

Nanbeige Releases Nanbeige4.3-33B, a 33B Open-Source Agentic Coding Model

Nanbeige LLM Lab (the BOSS Zhipin team) published the 33B dense model Nanbeige4.3-33B on Hugging Face under the Apache 2.0 license. It targets agentic coding and office collaboration tasks, supports a 524,288-token context window, and also releases a Base version for custom post-training. The team says it beats Qwen3.8-27B, Muse-Glimmer-30B and Gemma4-31B on most benchmarks, with a smaller 3B version planned.

Source: MarkTechPost (RSS)

Hugging Face and Partners Release Carbon-X, a 14.8B Open-Source DNA Language Model

Hugging Face, the School of Excellence at Zhongguancun and TIGEM / University of Naples Federico II released Carbon-X, an open-source DNA language model with 14.8B parameters and a 40,960-token context. Built on Qwen3-14B with a hybrid tokenizer adding 5,515 DNA tokens, it can read DNA directly and answer in English, including mutation pathogenicity prediction, under the Apache 2.0 license.

Source: MarkTechPost (RSS)

KRAFTON AI Previews Raon-1 mini: 30B-A4B, a Contender to Meta's Muse Glimmer

KRAFTON AI announced a preview of Raon-1 mini, trained from scratch with a mixture-of-experts architecture and linear attention at 30B-A4B scale. It is open-sourced under Apache 2.0 with a limited free API trial. The model focuses on Korean while handling English, and the company claims it matches Meta's Muse Glimmer 30B on coding and agentic tasks while running faster and using memory more efficiently.

Source: IT Home: Artificial Intelligence

A Chinese Lab Ships a New Open-Source SOTA in the ~30B Class

Nanbeige's Nanbeige4.3-33B is being seen as the new open-source SOTA in the roughly 30B parameter class, leading on most benchmark tests and showing strong performance on agentic coding and collaboration tasks.

Source: X: Testing Catalog (@testingcatalog)

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Product Releases & Updates

Anthropic Launches Free Open-Source OSS Scanner: 77 Critical and 803 High Findings in 11 Days

Anthropic launched a free OSS Scanner that periodically audits registered open-source projects with models including Claude Mythos, sending reports straight to maintainers with no human review. In 11 days it reported 77 critical and 803 high-severity findings. Of the 97 critical/high findings checked by penetration testers, 88% met disclosure standards and only one was a false positive; curl has already shipped a fix for CVE-2026-92392.

Source: MarkTechPost (RSS)

MiniMax Recaps H3 Open-Source Ecosystem Progress: 11 New Community Integrations

MiniMax recapped community ecosystem progress on the H3 video generation model, adding 11 new integrations. Contributions cover 8-step reference-conditioned video-plus-audio generation, 4-step distillation, sparse attention and reference token compression, with serving and workflow integrations across GPUs, TPUs and Apple Silicon.

Source: X: MiniMax (@MiniMax_AI)

Claude Desktop App Gets a New Interface, Sketch to Ship in Under 3 Weeks

Anthropic design engineer Chase McCoy announced the Claude desktop app now has a brand-new interface designed with Claude's help, from sketch to launch in under three weeks. The redesign brings a fresh layout and sidebar, but some users say the lower information density and the move away from serif fonts and warm-toned backgrounds feel cold and dull, and project panel readability suffers.

Source: IT Home: Artificial Intelligence

Elon Musk Announces Grok Bot Can Place Calls, Handle Requests and Send Call Summaries

Elon Musk announced Grok Bot can now call people or merchants on your behalf, make requests for you, and record and send summaries of the conversation. The quoted details mention Grok Bot 0.77 supports calls with live transcription (dialing, waiting, keypresses, transfers), Mac messaging connection setup, joining a Tailscale private network, payment account linking, and Bot sharing invitations requiring Premium or Ultra.

Source: X: Elon Musk (@elonmusk, xAI)

Google AI Studio to Get Managed Agents

Managed Agents are coming to Google AI Studio. Users will be able to "inspect and manage their autonomous AI agents along with their tools, environments and triggers" in a dedicated Agents hub. Earlier this week Google announced a new Agent Compute Engine for GCP, which the managed agent offering is likely built on.

Source: X: Testing Catalog (@testingcatalog)

Perplexity Computer Adds Multiplayer Racing to the Cyberpunk Game SF 2049

Perplexity CEO Aravind Srinivas showed off the new multiplayer features of SF 2049, a cyberpunk-styled browser game built with Perplexity Computer.

Source: X: Aravind Srinivas (Perplexity CEO) (@AravSrinivas)

Microsoft Muse Begins Rolling Out Real-Time Voice Calls

Starting yesterday, Muse has been gradually rolling out voice calling, supporting real-time voice conversations with the Muse agent.

Source: X: Testing Catalog (@testingcatalog)

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Industry News

Elvis Presley Music Rights Holder Sues Anthropic Over Unauthorized Training on 274 Songs

Authentic Brands Group, which holds the rights to the Elvis Presley music catalog, sued Anthropic alleging it used 274 Elvis songs without permission to train AI models. The lawsuit was filed in court last Friday local time.

Source: IT Home: Artificial Intelligence

Reddit's r/opensource Bans AI-Related Project Submissions

Reddit's r/opensource community published new submission rules banning projects that use, are made by, or target AI, stating that AI does not belong in that open-source community. The rules drew widespread backlash and spawned a rival subreddit, r/trueopensource. Moderator Wolvereness said there is room for selective enforcement, for instance software that incidentally uses AI accessibility features.

Source: The Verge: AI (RSS)

Kimi Apologizes for K3.1 Pro Rate Limits, Resets and Compensates Subscribers with 25% of Monthly Quota

Kimi publicly apologized for rate limiting and unnecessary quota consumption when subscribers used K3.1 Pro, announcing a one-time reset for all subscription tiers. Active subscribers receive 25% of their monthly quota back, roughly a week of usage, and those below 25% usage get reset to zero. Kimi also adjusted plan parameters to cut unnecessary subagent calls and output length so quotas last longer.

Source: IT Home: Artificial Intelligence

Google AI Search Reshapes the Online Publishing Traffic Landscape

The Verge looked back at how Google AI search features have reshaped online publishing. AI Overviews, launched in 2024, and AI Mode, which went live in May 2025, cut publishers' traffic from Google sharply, with DMG Media reporting click-through rates dropping as much as 89% between June and July 2025, and Pew Research finding users click fewer links after seeing an AI Overview.

Source: The Verge: AI (RSS)

Grok's Odyssey Drops Its First 7 Minutes, and Critics Say It Lacks Artistic Force

Three months after Elon Musk said he would make a full Odyssey film with Grok, the first seven minutes of the series, co-produced with Wonder Studios and director Dave Walker, were released. TechCrunch's review says some shots beat Musk's other recent AI video and can pass for live action, but the narration is bloated, the dialogue stiff, and the piece lacks artistic force and narrative rhythm, a stark contrast to the box office success of Nolan's live-action Odyssey.

Source: IT Home: Artificial Intelligence

DeepSeek Reportedly Raising Around $15B; China Rolls Out AI Employment Policy

Recode China AI reports DeepSeek is raising roughly $15B at a cost of $38 per GPU-hour. Meanwhile Moonshot AI released Kimi K3.1 Pro with a 1 million token context window and a Highspeed version running 2-3 times faster, scoring 65.7% on Terminal-Bench 4.0, with weights planned to open before November 4.

Source: Recode China AI (RSS)

China's First Comprehensive AI Application Risk Protection Scheme Unveiled at the 2026 Financial Street Forum

According to CCTV Finance, China's first comprehensive risk protection scheme for AI applications was formally released at the 2026 Financial Street Forum annual meeting. Through insurance it separately covers losses AI services cause to third parties and the AI provider's own costs for remediation, refunds and appraisal.

Source: IT Home: Artificial Intelligence

China's First Fully AI-Produced Theatrical Feature "Sanhxingdui: Future Memories" Tops 1.162 Million Yuan

Maoyan Professional data shows the box office of the fully AI-produced theatrical feature "Sanhxingdui: Future Memories" reached 1.162 million yuan. It is the first AI feature to receive a China Film Administration screening permit, opened on October 23, runs 100 minutes and features entirely original digital characters. It was made on Bona's in-house "Boka Film Cloud Stage" platform, producing more than 1.2 million base images over two years, with creative conception, script and shot design handled by Bona's AIGMS team of nearly 100 people across 17 specializations.

Source: IT Home: Artificial Intelligence

Elon Musk Predicts a Lot of Compute Will Be Stranded in Half-Built Data Centers

Elon Musk tweeted that we will see a lot of compute stranded in unfinished data centers.

Source: X: Rohan Paul (@rohanpaul_ai)

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Research & Papers

ByteDance Seed Proposes Recycler: Latent Reasoning at No Extra Cost via Hidden-State Recycling

ByteDance Seed introduces the Recycler architecture, which passes the previous token's top-layer hidden state through a lightweight adapter together with the current token embedding into the next step, preserving cross-step semantic continuity at essentially unchanged decoding cost. It covers pretraining, SFT, continued pretraining and RL, shows strong parameter efficiency on math and reasoning tasks, and even when introduced late can beat models with 2-3x more parameters.

Source: ByteDance Seed: Research Papers (embedded web data)

Stanford and UC Berkeley Release TokenGate: Token-Gated Attention Cuts Long-Context Prefill Time by Up to 11.3x

Researchers from Stanford and UC Berkeley released TokenGate, a module that adds learnable token pruning to existing LLMs, achieving 1.4x to 11.3x TTFT speedup on Qwen3-1.7B while cutting peak prefill memory by 1.5x to 3.4x with no accuracy loss.

Source: MarkTechPost (RSS)

UT Austin's Jev-Mem Makes AI Memory Construction 6.6x Faster

A University of Texas paper proposes Jev-Mem, which hands small decisions like link insertion and when to stop searching to a fast scoring model, Jev, that outputs probabilities in batch, with the LLM only reading memory and answering at the end. Long-conversation memory construction becomes 6.6x faster. On the LoCoMo long-dialogue benchmark it scores 0.777 versus 0.700 for the best baseline, with memory construction taking 158 seconds against 1,044 seconds for the fastest competitor.

Source: X: Rohan Paul (@rohanpaul_ai)

EleutherAI Paper Traces Subliminal Learning in Pretraining: Teacher Preferences Transfer Across Architectures

EleutherAI's SOAR project paper "Tracing Subliminal Learning Through Pretraining" studies subliminal learning: the animal preferences of a teacher model can transfer to a student through distillation, without requiring shared initialization, data order, pretraining corpus, model scale or architecture.

Source: EleutherAI: Blog

Browser Use Breaks Down Web Agent Benchmarks: WebArena, WebVoyager, Mind2Web and How to Choose

Browser Use lays out three forms of web agent benchmark: sandboxed sites (WebArena, VisualWebArena, WorkArena, REAL) that are reproducible, real-web benchmarks (Online-Mind2Web, WebVoyager, WebBench, BrowseComp and others) that are closest to reality but whose scores drift as sites change, and offline datasets (Mind2Web) for step-by-step comparison against human operation.

Source: Browser Use

Greg Brockman on the OpenAI Fluid Singularity Paper: Beyond Human Intuition, Yet Understandable

Greg Brockman quoted PDE expert @scottnarmstrong's analysis that this OpenAI paper is, technically, incredible, perhaps beyond what a human could conceive, yet still within human comprehension. The analysis argues the paper uses physical instability to make flow spontaneously oscillate, a construction with no precedent in the literature.

Source: X: Greg Brockman (@gdb)

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Tips & Opinions

Browser Use: A Practical Guide to Six Ways to Let Coding Agents Use Your Logged-In Chrome

Browser Use's author compiles methods for letting coding agents such as Claude Code, Codex, Gemini CLI and Cursor use your already logged-in Chrome. Claude subscribers can use the Claude in Chrome extension via claude --chrome. The author walks through each option and its configuration, and explains why copying cookies does not work.

Source: Browser Use

LangChain Breaks Down the Five Components of a Company-Grade Agent Harness

Drawing on its three internal agents (GTM Agent, OpenSWE and Content Studio), LangChain summarizes the five core components of a company harness: agents living inside the work scenarios users already have (Slack), identity handling that separates on-behalf-of from fixed credentials, two-tier global and per-user memory, sandboxed code execution, and a large amount of ambient running triggered by timers or events.

Source: LangChain: Blog (RSS)

The vLLM 101 Handbook: Serving, Estimating, Tuning and Troubleshooting Open Models

The author introduces the vLLM 101 handbook from AI Engineering from Scratch (by @ghumare64), based on vLLM 0.31.0 and tested on an NVIDIA L4 (Qwen3-8B) and a DGX Spark (Qwen3-30B-A3B).

Source: X: Shao Meng (@shao__meng)

Apollo Economist Says AI Has Delivered Zero Financial Payoff for Most Companies Outside Tech

Apollo Global Management chief economist Torsten Slok wrote that beyond tech giants, AI has not improved the profits of any large company. Focusing on the S&P 493 after excluding Alphabet, Amazon, Apple, Meta, Microsoft, Nvidia and Tesla, he found margins and revenue per employee flat, with no evidence AI has raised productivity.

Source: TechCrunch: AI (RSS)

Gartner Predicts More Than 80% of Neocloud Vendors Will No Longer Operate Independently by 2030

Rohan Paul relayed a Gartner forecast that cost pressure will force more than 80% of neocloud vendors to stop operating independently by 2030. Gartner estimates AI data centers need $8.5T in cumulative revenue by 2030 to cover capex, financing costs and a 12% return, while revenue attributable to AI is expected to reach no more than $3.6T, leaving over $4T in assets facing impairment by 2032.

Source: X: Rohan Paul (@rohanpaul_ai)

Bill Gates Calls AI the Most Dangerous Technology Invented So Far, Backing Certification-Only Open Weights

In a Decoder interview with The Verge, Bill Gates said AI has crossed a capability threshold and is the most dangerous technology ever invented, affecting economics and warfare broadly. He argued that open-weight models capable of advanced cyberattacks should keep guardrails and monitoring by law, that developers can still use and customize them for free, but that they may only run on certified platforms that can detect and refuse removal of those protections.

Source: X: Rohan Paul (@rohanpaul_ai)

Mark Zuckerberg: Every Small Business Will Have Its Own AI Agent

"I don't think there will be a single AI that everyone wants to use. ... I think every small business will want its own AI agent ... a lot of creators will want agents too," said Mark Zuckerberg.

Source: X: Rohan Paul (@rohanpaul_ai)

Interconnects Podcast: The Kimi K3.1 Pro Debate, Open Weights and the New Cybersecurity Reality

Nathan Lambert and Florian Brand discuss the split reaction to Kimi K3.1 Pro on the Interconnects podcast: the model ranks near the top on Artificial Analysis but is weak on long-horizon exploration benchmarks like Terminal-Bench Science and ProgramBench. The episode also questions whether earlier judgments about open-weight model and cybersecurity risk were wrong, and explores why security researchers and AI researchers read recent events so differently.

Source: Nathan Lambert: Interconnects (RSS)

Alibaba Qwen's Jiang Guanjun on Personal AI Agent Architecture: Model, Memory and Ecosystem Must Advance Together

Jiang Guanjun, head of AI algorithms at Alibaba's Qwen business unit, shared Qwen's technical practice in building personal AI agents at the 2026 China Computer Conference, arguing that models, memory and the ecosystem are the three core capabilities for a personal agent.

Source: IT Home: Artificial Intelligence

Ethan Mollick on Using AI: Be More Ambitious

Ethan Mollick offers a general rule: ask yourself "how could I make this thing more ambitious?" Keep doing that until you hit a wall, which is how you learn the shape of the frontier, or until you find AI can do more than you imagined, which happens far more often.

Source: X: Ethan Mollick (@emollick)

Let a Model Write Its Own Skill, Then Delete It, to Verify What Is in the Weights

Another approach is to have the model author a detailed skill for a task with very light prompting, essentially the same natural-language message you normally use to activate that skill. Read the created skill, and if the content looks right, delete it. It is already in the weights.

Source: X: Dex Horthy (HumanLayer) (@dexhorthy)

Dex Horthy on Whether Many Skills in One Session Pollute Context, and How to Trade Off

Dex Horthy of HumanLayer argues that chaining around 5 skills in one session is fine, but when skills need to stack or there are very many of them (say 200), you should switch to subagents, a new session, or pre-merge several skills into a single user message. He suggests trading off by content type: procedural steps should be split, pure information can be merged, and important behavioral rules need repeated injection or deterministic mechanisms like hooks to guarantee compliance.

Source: X: Dex Horthy (HumanLayer) (@dexhorthy)

Sebastian Raschka's Building Reasoning Models Video Course Is Fully Online

The author forwards and recommends Sebastian Raschka's "Building Reasoning Models from the Ground Up", calling it one of the best courses for building reasoning models from scratch. The complete from-scratch video series is now fully online, with links collected on his site.

Source: X: Dongxi NLP (@dongxi_nlp)

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Today's Briefs

• Perplexity Computer Adds Multiplayer Racing to SF 2049 (X: Aravind Srinivas (Perplexity CEO))
• ByteDance Seed's Recycler Architecture Delivers Latent Reasoning at No Extra Cost (ByteDance Seed: Research Papers)
• Google DeepMind Executive: Lifelong Learners Will Win in AI Workplaces (IT Home: Artificial Intelligence)
• Open-Source Skill dimensional-drawing: Lets Agents Draw Apple-Style Dimension Drawings for UI Components (X: Shao Meng (@shao__meng))

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【Hacker News Top Stories】

Keywords: AI OR GPT OR LLM OR Claude OR OpenAI OR "machine learning" OR "large language model" OR AGI OR "generative AI" OR AI agent OR RAG OR diffusion OR transformer
Source: hnrss.org | Curated from Hacker News

1. Apollo says AI has delivered 'zero financial payoff' outside the tech industry

Article URL: https://www.businessinsider.com/apollo-ai-zero-financial-payoff-corporate-america-economic-analysis-2026-10 Points: 16 # Comments: 10

• HN Original ->

2. AI is getting good at math, here's why

Article URL: https://latent.space/p/ai-is-getting-good-at-math/ Points: 2 # Comments: 0

• HN Original ->

3. Show HN: Limitbreak – Claude Code switches accounts mid-session on a limit

Article URL: https://github.com/radu2lupu/limitbreak Points: 1 # Comments: 0

• HN Original ->

4. Bend: A fast language that blocks AI mistakes via proof

Article URL: https://github.com/bendlang/bend Points: 1 # Comments: 0

• HN Original ->

5. Surprising gender biases in GPT (2024)

Article URL: https://www.sciencedirect.com/science/article/pii/S2451958824001660 Points: 3 # Comments: 2

• HN Original ->

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First published on the WeChat official account "瑞哥观势".