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  1. Leiphone
    AI score46

    Signet Therapeutics and XtalPi: AI + Organoid Gastric Cancer Targeted Drug SIGX1094 Moves Toward Key Clinical Validation

    The first-in-class targeted drug for diffuse gastric cancer worldwide, SIGX1094, jointly developed by Signet Therapeutics and XtalPi, has essentially completed Phase I clinical trials and has received both FDA Orphan Drug and Fast Track designations, with the potential to reach the market after completing Phase II clinical trials. This molecule was the candidate found when the AI + organoid approach had synthesized the 94th molecule; the second pipeline asset, the pan-TEAD inhibitor SIGX2649, has received dual IND approvals from China and the U.S. and is expected to begin clinical trials in November.

    #Industry news#English text is being prepared.

  2. Leiphone
    AI score24

    Shagang Adopts Qwen Office, Deploying Agents in Core Business Scenarios Such as Electric Furnace Smelting Reviews

    Jiangsu Shagang Steel Co., Ltd. has officially adopted Qwen Office, Alibaba's enterprise-grade general-purpose Agent product, deploying Agents in scenarios including electric furnace smelting reviews, transformer status assessments, and financial business analysis, with efficiency gains in some core scenarios reaching up to hundreds of times. Single-furnace smelting reviews have been shortened from about 30 minutes to 3 minutes, monthly inspections of 229 transformers have been compressed from 3 to 5 working days to just a few minutes, and the efficiency of preparing financial business analysis reports has increased by more than 90%. Shagang subsequently plans to consolidate its smelting analysis and equipment maintenance experience into a reusable AI skills library for the steel industry.

    #Industry news#Agents#English text is being prepared.

  3. Leiphone
    AI score61

    Yingsu Launches China's First Embodied Simulation Data Collection Center in Hangzhou, Targeting One Million Hours of Data per Month

    On October 29, Yingsu launched China's first simulation-focused embodied intelligence data collection center in Hangzhou, targeting data output at the level of one million hours per month. The center centers on 3D scene reconstruction and generation, using real-world collection to anchor geometry and appearance, and then uses the world simulator Topos Pro to expand layouts, occlusions, and object combinations, with capacity scaling with the number of environment configurations and parallel computing power. Yingsu has also partnered with Meihui Interactive, incubated within the Daily Interactive ecosystem, to obtain scene resources, and in August this year it jointly launched the large-scale spatial intelligence 3D data open initiative SIDO with more than 20 organizations including Hesai and Unitree.

    #Industry news#Embodied AI#English text is being prepared.

  4. Leiphone
    AI score35

    Insta360's revenue in the first three quarters of 2026 increased by 42.73%, but net profit fell by 93.96%, with pressure from multi-line expansion

    Insta360's revenue in the first three quarters of 2026 increased by 42.73% year-on-year to 9.436 billion yuan, but net profit attributable to shareholders fell by 93.96% to 47.8356 million yuan, with a consolidated net loss of 167 million yuan. In the same period, operating cash flow showed a net outflow of 4.264 billion yuan, inventory rose to 7.154 billion yuan with turnover days of 233 days, and the company is simultaneously advancing multiple projects including the panoramic drone Shadow A1, the gimbal camera Luna Ultra, as well as smart glasses and mirrorless cameras.

    #Industry news

  5. Leiphone
    AI score80

    AMD Acquires World Labs for $8.2 Billion; Fei-Fei Li to Serve as AMD Executive Vice President and Chief Scientist

    AMD announced an all-stock acquisition of World Labs, founded by Fei-Fei Li, for approximately $8.2 billion. After the deal closes, Fei-Fei Li will serve as AMD Executive Vice President and Chief Scientist, reporting directly to Lisa Su, and World Labs' roughly 70-person team will be integrated as a relatively independent research unit. The article reviews Fei-Fei Li's three directional choices—from ImageNet, to AI democratization, to spatial intelligence—and notes that this acquisition is about 52% higher than World Labs' $5.4 billion valuation after its February 2026 Series C funding round. The author believes that what comes next is whether the performance gains of Atlas and Marble on MI450 can continue the curve of the 4x speedup on MI325X, and whether other spatial intelligence teams will consequently shift to AMD hardware.

    #Industry news#Embodied AI#English text is being prepared.

  6. Leiphone.comOpinion
    AI score75

    Leiphone.com Reviews the Current State of Domestic RSI: How Far Have Zhipu, DeepSeek, ModelBest and Other Vendors Each Gotten?

    Leiphone.com reviewed the latest progress of Zhipu, DeepSeek, ModelBest, Moonshot AI, Alibaba Qwen, ByteDance Seed and Xiaomi on RSI (AI building AI), noting that currently no vendor has truly used AI to rewrite underlying model weights; the changes are concentrated in inference systems, Harness, sandbox environments, training frameworks and post-training reinforcement learning. Zhipu's Infra Agent, driven by GLM-5.3, built a production-grade inference service for GLM-5.3-Flash in two weeks on a cluster of 100,000 domestic chips, with end-to-end throughput reaching 3.2 times the initial baseline; DeepSeek, together with Tsinghua, launched DSec, which can produce about 3 million sandboxes per day; ModelBest's ForgeTrain caught up to the Megatron-LM benchmark level in 8 hours. The article argues that these engineering closed loops that do not touch weights are stepping stones toward AGI.

    #Industry news#Agents#Reasoning

  7. Testing Catalog
    AI score35

    Antigravity to Add Background Task Running Tab

    TestingCatalog says a new "Running" background task tab is coming soon to Antigravity's settings. Following the announcement of Jules' shutdown, advanced scheduled run functionality is also expected to launch in that tab.

    Quoted post🚨 AI News | TestingCatalog · @testingcatalog

    Google killed Jules AI agent 💀 Its planned functionalities are about to arrive to Antigravity instead. > “We’re working on bringing our learnings from Jules into Antigravity so you get the best of both worlds: autonomous remote background task execution and an agent-first development environment.” Antigravity already has some traces of a new “Chief of Staff” agent spotted earlier. I feel like it was unfortunate that Jules v2 got planned at a moment when AI super apps emerged and Google had to fight back with Codex. Monitoring 👀

    #Product updates#Agents

  8. Ethan Mollick
    AI score23

    Mollick: The Gap Between AI Frontier Practice and the Real Capabilities of Systems Is Widening

    Ethan Mollick responded to Aaron Levie's view that the gap between frontier AI users and everyone else is widening, adding: the gap between what frontier practitioners do with AI and what today's AI can actually do is growing larger; when properly harnessed and applied, we do not truly understand the full capabilities of today's systems.

    Quoted postAaron Levie · @levie

    It’s almost incomprehensible how wide the distance is between someone who’s working at the frontier with AI and basically everyone else right now. The crazy thing is these lines are not converging, but only growing farther apart. If the curve of AI progress had leveled off, it would certainly have given most people and companies time to catch up or implement their workflows in a standardized way. The technology would have neutralized competitive advantage because everyone would be using it the same way. But what’s happened is the opposite. The curve of AI progress is basically going vertical right now, which means if you had codified your processes 3-6 months ago you’re likely already behind again. Now imagine most companies that kicked into gear a year ago and thought that they were done. Even further behind now. I’ve never seen a technology in my life and career that improves at this rate, which consequently means you need to upgrade your expectations at a similar rate. Our brains weren’t wired for this, and our organizational change management processes certainly weren’t either. With any form of recursive self improvement, things just get wilder. It’s a time when you will need to be constantly reevaluating the things that didn’t work just a couple months ago to see if they now can be solved. AI native companies certainly have a strong advantage due to this right now, so now it comes down to can the bigger companies keep up. Wild times.

    #English text is being prepared.

  9. ModelBest OpenBMB
    AI score38

    MiniCPM4-0.5B integrated with Presidio for sensitive text recognition

    ModelBest community ambassador @povedaai has added a PII recognizer to Microsoft Presidio based on MiniCPM4-0.5B, used to detect sensitive information in text to support subsequent anonymization. The recognizer uses a LoRA adapter trained on the NVIDIA Nemotron-PII dataset plus a custom token classification head, covering 55 categories of PII/PHI labels such as names, emails, phone numbers, financial identifiers, API keys, passwords, and medical record numbers, and can load the model and adapter locally for inference.

    #English text is being prepared.#English text is being prepared.#English text is being prepared.

  10. UnslothFirst-partyProduct release
    AI score72

    Unsloth releases GGUF version of DeepSeek-V4.1-Flash-1017

    Unsloth releases a new GGUF version of DeepSeek-V4.1-Flash-1017, claiming it ranks highest in benchmark tests. It says Dynamic V3.1 leads on almost all benchmarks including GPQA Diamond, AIME25, LiveCodeBench v6, MMLU-Pro, and Aider, requires more than 64GB of memory to run, and includes links to the GGUF and the blog.

    Quoted postDeepSeek · @deepseek_ai

    🚀 DeepSeek-V4.1-Flash-1017 is here! Stronger benchmark performance, faster task completion, and shorter outputs than the previous version—a Pareto improvement in performance and cost. Now live on our website, app, and API. 🛠️ Optimized for @DeepSeekHarness, Tencent CodeBuddy, WorkBuddy, and more. Upgrade to DeepSeek Harness v0.2.1-rc.1 or later for the best experience with the new model. 1/4

    #Model releases#Open-source ecosystem#DeepSeek

  11. Peter Steinberger
    AI score42

    Peter Steinberger on Claude Code's new rule: you should build your own harness

    A post claims that around October 27, Claude Code pushed down a new rule named "tengu_heron_brook" via Anthropic's servers, and it cannot be turned off: you can build original games, but you must not recreate a specific existing game. Commenting on this, Peter Steinberger said this is yet another reason to use your own harness rather than one whose permission scope a company can change at will.

    Quoted postchasm · @chasmmmmmmmmmmm

    ANTHROPIC IS CRACKING DOWN ON VIDEO GAME REWRITES 🚨 Claude Code picked up a new rule around Oct 27, sent from Anthropic’s servers under a flag called "tengu_heron_brook". There’s no setting to turn it off. The full rule: “Do build original games, games in a genre, and games from the user’s own designs and assets. Don’t build a recreation of a specific existing game, even if it is renamed or called original.” Is this the end of game rewrites, modding and everything in between?

    #English text is being prepared.#Agents

  13. Microsoft ResearchFirst-party
    AI score35

    Microsoft evaluates Copilot with synthetic enterprise data: from simulated tenants to real AI confidence

    Microsoft built the Industry Evaluation Data Generation Platform, which uses fully synthetic enterprise environments generated from public data such as O*NET, job postings, and SEC filings to evaluate Microsoft Copilot, avoiding the use of any customer data. These simulated tenants contain realistic organizational structures, meeting and email histories, can cover issues missed by general benchmarks, and have formed Copilot's first standardized evaluation baseline.

    #Evaluations / benchmarks#English text is being prepared.#Microsoft

  14. The Verge AIOpinion
    AI score65

    Altman Responds to Math Community Doubts: OpenAI's Math Results Releases Will Not Stop

    Sam Altman said on the Cheeky Pint podcast that the public's right to understand how the universe works outweighs the impact of OpenAI's result releases on the math community, and that the company needs to improve its communication but will not stop releasing. He admitted that OpenAI's investment in math problems once got out of control, and said the company has hundreds of math discoveries beyond its published results that remain undisclosed; he also estimated that OpenAI has spent hundreds of millions of dollars on math problems, of which the Navier-Stokes solution cost about $10 million. The math community, meanwhile, criticized OpenAI's releases for lacking attribution, context, and verification, and also expressed dissatisfaction that details of results such as the Yang-Mills theory have not been disclosed.

    Same story · 3 reports

    #English text is being prepared.#OpenAI#English text is being prepared.

  15. The Verge AI
    AI score66

    Anthropic Files a 335-Page S-1, With 94 Pages of Risk Factors Filled With "Miracles" and "Existential Risk"

    Anthropic filed a 335-page S-1 prospectus on Monday, including as many as 94 pages of risk factors; the founders' letter states that advanced AI could usher in an "age of miracles" but could also pose an existential risk to humanity. The prospectus also states that the company has a history of net losses, has taken on hundreds of billions of dollars in financial obligations to secure computing power, and will build its own data centers; the author notes that key information for assessing profitability, such as third-quarter results, is missing. Jay R. Ritter, a professor at the University of Florida, noted by comparison that Apple's 1980 IPO prospectus was only 47 pages and contained no risk factors.

    Same story · 127 reports

    #Industry news#Anthropic#OpenAI

  16. China.com Technology
    AI score23

    QingSong Health Group and Tencent Health jointly build BioMed AI, Zheng Yuanfang expands industrial application scenarios

    At the 2026 Tencent Global Digital Ecosystem Summit, QingSong Health Group received the "2026 Tencent Cloud Network Services Industry Ecosystem Partner Award" and, as a healthcare ecosystem partner, participated in the construction of Tencent Health's BioMed AI, expanding application scenarios for the evidence-based medicine agent "Zheng Yuanfang." BioMed AI is based on the WorkBuddy general foundation and covers four major scenarios: scientific research and pharmaceuticals, clinical assistance, patient management, and marketing and compliance. As of June 30, 2026, Zheng Yuanfang had more than 100,000 registered users, including more than 80,000 certified medical professional users.

    #Industry news#Agents#English text is being prepared.

  17. Sierra：BlogFirst-party
    AI score58

    Sierra's annualized revenue surpasses $400 million, with over $150 million added in Q3 alone

    Sierra announced that its annualized revenue (ARR) has surpassed $400 million, adding over $150 million in Q3 alone—more than its entire ARR for the previous year. The company said it took six months to go from $100 million to $200 million, and only five months to go from $200 million to $400 million; it currently serves nearly 50% of Fortune 50 enterprises. Sierra also mentioned that a major U.S. retailer with over $40 billion in revenue used Ghostwriter to go from first meeting to agent launch in 27 days, and that it is working with more than 50 companies including Meta, Shopify, Stripe, and Walmart to advance Poppy, an open standard for personal agent interaction.

    #Industry news#Agents

  18. 404 Media
    AI score22

    Apple Enters the "Cheap and Crappy" Era

    Apple's new foldable iPhone Duo developed screen cracking issues just days after launch, and the company subsequently announced a touchscreen laptop, which the author sees as relying on hardware gimmicks to stay relevant amid the AI shock. New CEO John Ternus previously led projects such as the Touch Bar and the butterfly keyboard, and in a Time interview he called other foldable designs "cheap and crappy." The author recounts, through personal experience, the reasons he switched to Android back in the iPhone 4 era.

    #English text is being prepared.#Industry news

  19. MIT Tech Review
    AI score11

    The Download: GLP-1 and eating disorders, self-aware cities, and forever chemicals

    MIT Tech Review's The Download notes that a new report shows the global incidence of anorexia nervosa and bulimia nervosa rose 71% between 1990 and 2023, and clinicians have observed that GLP-1 weight-loss drugs can exacerbate the problem. The same issue also features Charlie Jane Anders's short science fiction story "Love is Infrastructure," as well as a report on progress in remediating soil and water contaminated by PFAS "forever chemicals."

    #Industry news

  20. TechCrunch AI
    AI score50

    Runware wants to mass-produce AI data centers like cars, targeting 30 megawatts per day by 2028

    AI infrastructure company Runware plans to mass-produce its modular data center Sonic Inference Pod on an assembly line at a factory in Romania, targeting a daily production capacity of 30 megawatts by 2028, equivalent to nearly 1 gigawatt per month. Customers can bring their own GPUs or rent compute from Runware. The Pod's onboarding target is to complete installation and deployment within 48 hours, and construction time will be cut from three weeks to one day. Runware has raised more than $60 million in cumulative funding and says the Sonic Pod has received $1 billion in intent, corresponding to more than 20 megawatts of capacity.

    #Industry news#English text is being prepared.#English text is being prepared.