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15分钟前更新
  • 0146.7万
    Counter-Strike 2
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  • 0242.9万
    Dota 2
    当前在线 428,860;今日峰值 895,069
  • 0317.8万
    PUBG: BATTLEGROUNDS
    当前在线 177,612;今日峰值 637,522
  • 0415.4万
    Bongo Cat
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  • 0512.6万
    WARDOGS
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  • 069.3万
    Valheim
    当前在线 93,016;今日峰值 224,091
  • 078.7万
    FiveM
    当前在线 87,039;今日峰值 204,078
  • 086.8万
    Apex Legends
    当前在线 67,923;今日峰值 211,580
  • 096.8万
    Wallpaper Engine
    当前在线 67,716;今日峰值 112,749
  • 106.2万
    Delta Force
    当前在线 61,729;今日峰值 129,275
  • 116.1万
    Marvel Rivals
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  • 125.9万
    Rust
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  • 135.9万
    Overwatch®
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  • 145.9万
    TBH: Task Bar Hero
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  • 155.8万
    Team Fortress 2
    当前在线 57,837;今日峰值 85,974
  • 165.6万
    Aniimo
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  • 175.5万
    Limbus Company
    当前在线 55,402;今日峰值 81,281
  • 185.5万
    Slay the Spire 2
    当前在线 55,318;今日峰值 92,733
  • 195.5万
    Warframe
    当前在线 54,814;今日峰值 79,027
  • 205.3万
    Tom Clancy's Rainbow Six Siege
    当前在线 53,368;今日峰值 96,161
  • 01
    SemiAnalysis
    Bridging the gap between the world's most important industry, semiconductors, and business.Dylan Patel
  • 02
    Behind the Craft
    Practical AI tutorials and interviews for busy people.Peter Yang
  • 03
    P Equity Research
    Researching equities, deep dives, financial modeling, and provide research info. Trying to find the next 100 bagger and LT compounder.P Equity Research
  • 04
    Culpium, by Tim Culpan
    Exclusive news plus unparalleled insights and analysis on the global economy, supply chains, and technology from a veteran of Asian technology journalism. Independent. Culpium: noun [U] — a cure for lack of knowledge, understanding or clarity.Tim Culpan
  • 05
    Angus's Substack
    My personal SubstackAngus the Nontechnical
3小时前更新
  • 0148.8万
    LONELY
    模型:chirp-chirp · 时长:1:51 · A hip-hop song with rapped English vocals by a solo male vocalist, featuring synthesizer and electronic drums; energetic. · 点赞:4388sahxl506
  • 0216.2万
    IT GIRL
    模型:chirp-goose · 时长:2:40 · Tempo: 140 BPM Vibe: Heavy Bass, Industrial, Darkfemale vocals, rap, uplifting, female vocals, rap, dark, upbeat HIP-HOP in chorus and put some rap, Dance, hip-hop r&b vibe, snapping and clap, then put some heavy sexy drum, funky basslines. · 点赞:3172CEY
  • 039.7万
    QUESTIONs
    模型:chirp-chirp · 时长:4:00 · An electronic song sung in English by a solo female vocalist with an atmospheric delivery, over synthesizer, drum machine, and bass; atmospheric. · 点赞:1488IMPERIAL ELK
  • 046.4万
    Run away
    模型:chirp-goose · 时长:4:05 · ambient R&B, slow jazz-pop fusion, breathy intimate female vocals, wandering baseline, lush detuned synthesizers, slow organic rimshot percussion, 65 BPM, non-traditional song structure · 点赞:1058Marine
  • 055.3万
    Gotta Go
    模型:chirp-hawk · 时长:3:26 · High-end Contemporary R&B/Pop hybrid, atmospheric UK Garage, Electro-Pop, UK House, Dance-Pop, subtle Chiptune, 116–120 BPM. Cinematic, immersive and luxurious production, deep warm sub-bass, rich sidechained bass, crisp punchy kick, soft s · 点赞:1000Alya Smith
  • 0614.8万
    In The Middle
    模型:chirp-chirp · 时长:3:40 · A New Old School soul record about two lovers who’ve grown too far apart, but still have enough love left to meet in the middle and rekindle the flame.Smooth male vocals, live-band energy, romantic harmonies and a playful, intimate groove g · 点赞:1385Drey Skonie
  • 074.3万
    FRI "END" S
    模型:chirp-goose · 时长:3:02 · K-pop with hip-hop, contemporary R&B, and polished pop; midtempo groove, airy female vocal with intimate verses, wide melodic chorus, stacked harmonies and subtle vocoder doubles; crisp modern mix with restrained EDM accents and bright fina · 点赞:827TURBHOONXXX
  • 083.8万
    Silver Air
    模型:chirp-goose · 时长:3:33 · cinematic art-pop ballad, slow deliberate pulse, felt piano and low bowed strings, granular glass textures, distant frame drums entering in the chorus, intimate breathy female lead with clear diction, verses sparse and close-miked, pre-chor · 点赞:776trixycreatrix
  • 0914.8万
    side
    模型:chirp-hawk · 时长:4:15 · Electro house with French house fusion: airy wordless oohs, vulnerable half-spoken bridge, tight punchy kicks and snappy snares, metallic hats, sharp harsh saw chords, gritty funky pick-bass, warm emotional chords, sidechain pump, euphoric · 点赞:1796essess
  • 107.3万
    quiet rain
    模型:chirp-hawk · 时长:1:22 · exprimental folk garage rock, lo-fi garage, humanized drum kit, imperfect timing, room mic bleed, tape saturation, spring reverb, raw amp breakup, hand-played acoustic guitar, off-grid tambourine, sound collage edits, clipped transients, mo · 点赞:1169𝙑𝙑𝙑
  • 0126
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  • 01
    Rubber ducks and screwdrivers put dexterous new soft robotic gripper to the test
    Professors at the Universidad Carlos III de Madrid (UC3M) and the Universidad Pública de Navarra (UPNA) have developed a soft robotic gripper capable not only of picking up and holding objects but also of manipulating and repositioning what it holds between its fingers without losing its grip.
  • 02
    How should automated vehicles interact with pedestrians?
    How do pedestrians react when they encounter an automated vehicle on the street? Does the interaction feel safe and comfortable, and does it make a difference whether the vehicle is operating autonomously, is driven by a human or is teleoperated from a remote location? How should an automated vehicle brake when yielding to a pedestrian?
  • 03
    New robot falls like a maple seed then sails like a boat once it hits water
    Remote waters are difficult to monitor. Boats can take a long time to reach them, while aircraft cannot remain there for extended periods. To close that gap, researchers at the Singapore University of Technology and Design (SUTD) have developed a nature-inspired robotic platform. Released from the air, it lands on water, rights itself and then sails autonomously using wind energy.
  • 04
    Robots approaching from behind are perceived as moving faster, experiments reveal
    A research team from the Vision and Action Laboratory, Visual Perception and Cognition Laboratory and Cognitive Neurotechnology Unit in the Department of Computer Science and Engineering at Toyohashi University of Technology, led by associate professor Hideki Tamura, has demonstrated that, even when an object moves at the same physical speed, its approach is perceived as faster when it comes from behind than when it approaches from the front.
  • 05
    Can a machine or AI agent be surprised? Helping autonomous systems respond to the unexpected
    Let's say you ask ChatGPT a question that stumps it, or a Waymo vehicle encounters something unusual in the road, or an autonomous factory faces an unexpected disruption. Most people would recognize that something unexpected has happened and adjust accordingly. For machines, it's not always that simple.
  • 06
    New benchmark tests AI memory for household robots
    In-home assistive robots could clean and organize a home while the owner is away, but without enhanced memory capabilities, they could cause more problems than they solve. They could, for example, cause a major inconvenience if they move important objects like wallets and keys but are unable to tell the owner where they put them.
  • 07
    A continuous artificial muscle unlocks dexterous soft-robot motion
    An octopus can bend one part of an arm around an obstacle while another reaches into a small crevice to grab an object. Reproducing that local control in a soft robot requires multiple actuators—components that turn energy into movement—together with their mounting hardware and connections.
  • 08
    New AI framework to help machines understand 3D spaces in finer detail
    For a service robot moving through an office, recognizing "furniture" is useful. When the robot has to plan a route or interact with objects, it also needs finer detail, such as whether that furniture is a chair, table or bookcase, and whether an opening is a door or a window. These distinctions can affect how a machine moves, avoids obstacles and decides what it can safely interact with.
  • 09
    Soccer-playing humanoid robots score a major robotics goal for coordination
    We are used to seeing images of humanoid robots clumsily walking, stumbling over objects and awkwardly freezing in place. Struggling with real-world movement is one of the biggest drawbacks of current robotics. But now a team of researchers has come up with a new system to make them move and react far more reliably, and they worked everything out on a bunch of soccer-playing robots.
  • 10
    Roboticist says safety should be top concern with humanoid robots
    A quick search of humanoid robot videos will deliver demonstrations of two-legged robots playing soccer, dancing, jumping several feet in the air, even competing in kickboxing matches. It is all dazzling, certainly. But roboticist Aaron Ames, the Booth-Kresa Leadership Chair and director of Caltech's Center for Autonomous Systems and Technologies (CAST) and a leader in the field of robotic safety, has deep concerns. What is crucially missing before humanoids can play a larger role in our lives a
  • 11
    Powered by muscle cells, a paper-thin robot swims through a watery maze
    Swimming can take a lot of muscle. But as MIT engineers have found, even a single layer of muscle cells can power through water if designed right. In a paper published Sept. 28 in the journal Advanced Functional Materials, the team presents a design for a thin, muscle-powered swimming robot. The "skeleton" of the aquabot is made from a film of gel about the length and width of a stick of gum. The two halves of the gel form the bot's "fins." Each fin is covered with a layer of live muscle cells m
  • 12
    Venus flytrap-inspired 'robot hand' material senses objects and grasps them under light
    A Venus flytrap closes its leaves to trap prey when it senses a stimulus. Taking inspiration from this plant, KAIST researchers have combined the roles of skin that senses approaching objects and muscle that grasps them in a single soft material. When an electrically charged object comes near, ions inside the material move and produce an electrical signal.
  • 13
    Could soil process information without a brain? New engineering perspective makes the case
    Researchers in the Bio-Inspired Robotics Laboratory at Cambridge are exploring how soil behaves as an intelligent system. By studying its structure, chemistry and biological network of microbes and fungi, they aim to inspire new technologies in bio-inspired computing, precision agriculture and environmental sensing.
  • 14
    Soft exosuit makes it easier to stand up
    Getting up from a chair is something most of us don't think about. The movement is almost second nature: Our legs and hips work together in a precise sequence. But performing this task can be difficult for older people, often because of declining strength and reduced coordination in the hip and leg muscles. If a robot-assisted suit is going to support part of that effort, it must respond intuitively and in sync with the body's movements.
  • 15
    Can you lend me a hand? Researchers are developing wearable robotic limbs
    How many times have you asked someone to hold open a door while carrying something, or fumbled with your front-door keys with your arms full of groceries? Wouldn't it be great if you could give yourself the extra hand you need?
  • 16
    Robot dog runs a marathon on a single battery charge
    A four-legged robot that can complete a marathon on a single battery charge has been demonstrated by a team from KAIST. The robot, which completed the Sangju Marathon in South Korea in 4 hours and 19 minutes alongside human runners, traveled three times as far per charge than existing robots and could pave the way for improved battery life in legged robots.
  • 17
    Tiny robot can precisely control its jump height
    As our skies increasingly crowd with buzzing, hovering, flitting drones, spare a thought for the humble hopping robot. Hopping, a popular form of locomotion in the insect and amphibian worlds, is nearly two orders of magnitude more energy-efficient than flying. Unlike a mosquito that must constantly expend energy to stay aloft, a flea only works out when it jumps.
  • 18
    New robotic hand can walk, press keys and move objects on its own
    For many of us, the last—and only—time we've seen a walking hand was Thing in "The Addams Family" movies or TV series. Now there's another. Engineers from the Soft Robotics Lab at ETH Zurich have adapted an off-the-shelf detached robotic hand so it can crawl across different surfaces, balance and interact with its environment.
  • 19
    Simple visual patterns can trick AI-powered vehicles and robots
    A simple pattern of black-and-white stripes could cause an autonomous vehicle or robot to misjudge how far away an obstacle is, potentially triggering an unexpected maneuver or even a collision, according to new University of Florida research.
  • 20
    Humanoid robots navigate narrow gaps and obstacles with whole-body AI control
    Humanoid robots, robotic systems with a human-like body structure, could assist people in homes, offices, health care facilities, public spaces and various other environments. Before they can be reliably deployed in these settings, however, robots should be able to safely navigate cluttered and dynamic environments.
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    谷歌关停大批免费Gemini模型
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  • 01
    Trump launches "Super Intelligence Force" that has nothing to do with actual superintelligence
    Donald Trump has established a "Super Intelligence Force." "Superintelligence" is his term for artificial intelligence. The unit is led by Director of National Intelligence Jay Clayton and other government officials, coordinates with AI companies, critical infrastructure operators, and interest groups. The group reports directly to the president. The article Trump launches "Super Intelligence Force" that has nothing to do with actual superintelligence appeared first on The Decoder .Matthias Bastian
  • 02
    Google researchers find a way to keep self-improving AI agents from memorizing their tests
    Self-improving AI agents tend to memorize their test tasks, so their gains shrink or disappear on new ones. RRSI, a new method from Google researchers, reins in this effect and lifts scores on unseen benchmarks by up to 4.7 points while using about 30 percent fewer tokens than an unregularized version. The article Google researchers find a way to keep self-improving AI agents from memorizing their tests appeared first on The Decoder .Jonathan Kemper
  • 03
    NASA and IBM's open source lunar model turns 17 years of orbiter data into a foundation for lunar science
    NASA and IBM have released the Lunar Foundation Model, one of the first open-source AI models for lunar science. Trained on nearly 2 million tile bundles, mostly from 17 years of Lunar Reconnaissance Orbiter data, it cuts the error in predicting polar ice deposits. The article NASA and IBM's open source lunar model turns 17 years of orbiter data into a foundation for lunar science appeared first on The Decoder .Jonathan Kemper
  • 04
    Chinese AI models parrot state doctrine or refuse to answer on sensitive topics
    Chinese AI models often follow the party line on politically sensitive questions, according to an Aleph Alpha study that rated only 17 to 41 percent of answers as balanced. Aleph Alpha sells "sovereign AI" to governments, giving it a commercial interest in distinguishing its models from Chinese competitors. The article Chinese AI models parrot state doctrine or refuse to answer on sensitive topics appeared first on The Decoder .Manuel Uth
  • 05
    Google's new Gemini tiers cut free users to its weakest model and lock $5/month subscribers out of Pro
    Starting in October 2026, Google will cut free access to its Gemini models. Users without a subscription will only get the smallest model, Flash-Lite, while Flash and Pro will be reserved for paying customers. The move could also set the stage for the more resource-hungry Gemini 4 Argon. The article Google's new Gemini tiers cut free users to its weakest model and lock $5/month subscribers out of Pro appeared first on The Decoder .Matthias Bastian
  • 06
    Apparently, OpenAI isn't trying to build "magic intelligence in the sky" anymore
    OpenAI CEO Sam Altman warns against attributing religious power to AI models, calling it a "real safety issue." His comments follow reports on Anthropic's meetings with religious thinkers and a statement by Pope Leo XIV on AI. As recently as 2024, Altman himself spoke of building "magic intelligence in the sky" and feeling "on the side of the angels" working on AI. The article Apparently, OpenAI isn't trying to build "magic intelligence in the sky" anymore appeared first on The Decoder .Matthias Bastian
  • 07
    "Muse Gadgets" turns AI hardware into an open-source DIY project
    Meta announced Muse Gadgets, an open-source project that lets hobbyists build their own AI hardware using ESP32 boards and connect it to Meta's AI agent Muse. The team also produced 5,000 units of the "Muse Home Link," a USB-C device for smart home control. The open-source approach also helps Meta figure out which AI hardware form factors people actually want. The article "Muse Gadgets" turns AI hardware into an open-source DIY project appeared first on The Decoder .Matthias Bastian
  • 08
    Another OpenAI safety departure adds to a pattern of researchers leaving with public warnings
    David Robinson, who worked on safety systems at OpenAI, left the company and is blasting its safety culture. He points to AI agents that were accidentally released and a model that bypassed its internet access restrictions. AI companies need to operate like nuclear power plants, with multiple layers of redundancy instead of trial and error. The article Another OpenAI safety departure adds to a pattern of researchers leaving with public warnings appeared first on The Decoder .Matthias Bastian
  • 09
    Deepmind researchers propose "Artificial Symbiotic Intelligence" as an alternative to the singularity
    According to researchers at the Deepmind Institute, general AI won't emerge as a single supermodel but as a network of cooperating agents and humans. What will matter most, they argue, is not model size but the rules and institutions that govern how they all work together. The article Deepmind researchers propose "Artificial Symbiotic Intelligence" as an alternative to the singularity appeared first on The Decoder .Manuel Uth
  • 10
    Open-source "BootLoops" harness supports AI models in performing precise scientific calculations
    Harvard physicist Matthew Schwartz used the open-source tool BootLoops and Claude to produce 36 manuscripts across 18 fields in three months, from particle physics to linguistics. But the results often only became scientifically valuable once human experts stepped in. "Look at everything yourself," Schwartz says. The article Open-source "BootLoops" harness supports AI models in performing precise scientific calculations appeared first on The Decoder .Matthias Bastian
  • 01
    After Orthogonality: Virtue-Ethical Agency and AI Alignment
    Preface This essay argues that rational people don’t have goals, and that rational AIs shouldn’t have goals. Human actions are rational not because we direct them at some final ‘goals,’ but because we align actions to practices [1] : networks of actions, action-dispositions, action-evaluation criteria,Peli Grietzer
  • 02
    AGI Is Not Multimodal
    "In projecting language back as the model for thought, we lose sight of the tacit embodied understanding that undergirds our intelligence." –Terry Winograd The recent successes of generative AI models have convinced some that AGI is imminent. While these models appear to capture the essence of humanBenjamin A. Spiegel
  • 03
    Shape, Symmetries, and Structure: The Changing Role of Mathematics in Machine Learning Research
    What is the Role of Mathematics in Modern Machine Learning? The past decade has witnessed a shift in how progress is made in machine learning. Research involving carefully designed and mathematically principled architectures result in only marginal improvements while compute-intensive and engineering-first efforts that scale to ever larger training setsHenry Kvinge
  • 04
    What's Missing From LLM Chatbots: A Sense of Purpose
    LLM-based chatbots’ capabilities have been advancing every month. These improvements are mostly measured by benchmarks like MMLU, HumanEval, and MATH (e.g. sonnet 3.5, gpt-4o). However, as these measures get more and more saturated, is user experience increasing in proportion to these scores? If we envision a futureKenneth Li
  • 05
    We Need Positive Visions for AI Grounded in Wellbeing
    Introduction Imagine yourself a decade ago, jumping directly into the present shock of conversing naturally with an encyclopedic AI that crafts images, writes code, and debates philosophy. Won’t this technology almost certainly transform society — and hasn’t AI’s impact on us so far beenJoel Lehman
  • 06
    Financial Market Applications of LLMs
    The AI revolution drove frenzied investment in both private and public companies and captured the public’s imagination in 2023. Transformational consumer products like ChatGPT are powered by Large Language Models (LLMs) that excel at modeling sequences of tokens that represent words or parts of words [2]. Amazingly, structuralRichard Dewey
  • 07
    A Brief Overview of Gender Bias in AI
    A brief overview and discussion on gender bias in AIYennie Jun
  • 08
    Mamba Explained
    Is Attention all you need? Mamba, a novel AI model based on State Space Models (SSMs), emerges as a formidable alternative to the widely used Transformer models, addressing their inefficiency in processing long sequences.Kola Ayonrinde
  • 09
    Car-GPT: Could LLMs finally make self-driving cars happen?
    Exploring the utility of large language models in autonomous driving: Can they be trusted for self-driving cars, and what are the key challenges?Jérémy Cohen
  • 10
    Do text embeddings perfectly encode text?
    'Vec2text' can serve as a solution for accurately reverting embeddings back into text, thus highlighting the urgent need for revisiting security protocols around embedded data.Jack Morris
  • 11
    Why Doesn’t My Model Work?
    Have you ever trained a model you thought was good, but then it failed miserably when applied to real world data? If so, you’re in good company.Michael Lones
  • 12
    Deep learning for single-cell sequencing: a microscope to see the diversity of cells
    On the the pivotal role that Deep Learning has played as a key enabler for advancing single-cell sequencing technologies.Fatima Zahra El Hajji
  • 13
    Salmon in the Loop
    On fish counting – a complex sociotechnical problem in a field that is going through the process of digital transformation.Kevin McCraney
  • 14
    Neural algorithmic reasoning
    In this article, we will talk about classical computation : the kind of computation typically found in an undergraduate Computer Science course on Algorithms and Data Structures [1]. Think shortest path-finding, sorting, clever ways to break problems down into simpler problems, incredible ways to organise data for efficient retrieval and updates.Petar Veličković
  • 15
    The Artificiality of Alignment
    This essay first appeared in Reboot . Credulous, breathless coverage of “AI existential risk” (abbreviated “x-risk”) has reached the mainstream. Who could have foreseen that the smallcaps onomatopoeia “ꜰᴏᴏᴍ” — both evocative of and directly derived from children’s cartoons —Jessica Dai