Simon Willison says his experiment shows a two-player game can run on separate phones using static HTML, with game state sent through microphone-detected chirps. The game is a competitive Pong-like experience with graphical and gameplay twists. The source ends with “Claude Opus 5.5 Extra in Claude Code” but does not explain how that relates to the experiment.
NVIDIA’s Nemotron 3.5 Super VL is now available in Perplexity for Pro and Max subscribers and in Agent API, according to @perplexity_ai. Aravind Srinivas calls Nemotron one of America’s leading open-weight multimodal models and encourages users to try it. https://twitter.com/perplexity_ai/status/2110793639727358422
Aravind Srinivas argues that neoclouds can't just rent GPUs and need to own the full agent inference platform, including open-weight models (SGLang), fine-tuned models (Miles, River), and secure sandboxes (SPACE). He looks forward to working with Coreweave, Akamai, Crusoe, and more partners. In the quoted post, Reed Albergotti reports that Perplexity is open sourcing its sandbox, SPACE, with partners including Akamai, Coreweave, and Crusoe. https://twitter.com/ReedAlbergotti/status/2110782821879144922
Neoclouds can't just lease GPUs. They need to own the full agent inference platform: open-weight models (SGLang), fine-tuned models (Miles, River), and secure sandboxes (SPACE). We look forward to working with Coreweave, Akamai, Crusoe, and more partners. https://twitter.com/ReedAlbergotti/status/2110782821879144922
We are hosting our first "Bench Summit" to bring together people excited about pushing the frontier of benchmarking, model evals, and more. Great benchmarks are a gating function for model progress, lots to do here! Join us in SF: https://t.co/7qqyPLe5Vp
Bluesky announced expanded Attie capabilities at TechCrunch Disrupt 2026, letting users build websites, quizzes, games, polls, and other interactive experiences on AT Protocol. Creators connect through their ATProto identities and can bring their own AI model or use open-weight options. Bluesky says these projects can reach its network of 47 million registered users.
Anthropic is giving six METR researchers employee-level access to independently assess its models, safety practices, and risk management. The researchers receive company laptops, office space, and internal tools roughly comparable to those used by Anthropic’s risk assessment teams. METR can publish assessments without Anthropic’s approval, although the company can require narrowly defined redactions that METR may publicly question.
Apple closed at a $5.005 trillion market capitalization after its shares rose 0.5% to $342.96, becoming the second publicly traded company after NVIDIA to close above $5 trillion. Separately, Mark Gurman reportedly said Apple plans to launch Apple Intelligence in mainland China this December with iOS 27.3. Initial features are expected to include Genmoji, notification summaries, writing tools, and Clean Up, while the upgraded Siri AI is expected to be excluded.
Tang Duyu, former head of multimodal model development for Huawei’s Xiaoyi assistant, founded Guanxing Shuzhi to develop physical AI that identifies needs and decides when to intervene without explicit commands. Its ProAgent architecture pairs StreamingJev, a lightweight event monitor, with a Response Model that plans interventions and selects devices. The team reports testing guidance, warnings, and interaction on Reachy Mini across 60 cases, and introduced ProactiveXBench to evaluate intervention timing, progress, and outcomes.
Apple plans to launch Apple Intelligence in mainland China this December through iOS 27.3, Bloomberg reportedly says, bringing previously released AI features to iPhone, iPad, and Mac while excluding the new Siri AI assistant. The article identifies Baidu as a partner for search and Siri services and cites domestic reports naming Alibaba as a provider of AI model capabilities, including text and image understanding and content generation.
Token Rhythm says more than 300,000 developers have joined its platform and has launched limited-time Double 11 presale offers. A single recharge of at least 50 yuan on TokenRhythm API earns an equal amount in model usage credits, with no cap on cumulative bonus credits; the company says the credits, including previously granted credits, will not expire. The article was provided by Token Rhythm and republished by QbitAI with authorization.
Shanghai Jiao Tong University Antai College of Economics and Management is reshaping its MBA education to prepare business leaders who can combine technical understanding with business judgment and responsibility. Its “Five Links” talent framework connects AI, science and technology innovation, industry, global perspectives, and Shanghai Jiao Tong University resources. The college also plans to co-create 1,000 AI projects with companies over the next decade and has announced curriculum and training changes for the 2027 cohort.
Ant has open-sourced Ling-3.1-flash, a model with approximately 560B total parameters, about 25B activated per token, and a context window of up to 1M. QbitAI tested it on an e-commerce promotion plan and a simulated medical appointment preparation task, reporting traceable calculations and explicit handling of missing information. The review also found occasional attention drift with long inputs and noted that the current version lacks native visual understanding.
STEPX says its STEPX Neo agent-native phone will enable festivalgoers at The Magic of Tomorrowland 2026 in Shanghai to turn their ideas into personalized electronic music, making them co-creators. The experience uses StepAudio 3 Music and the phone’s built-in personal agent, Step Amoo. The event is scheduled for October 17–18.
The QbitAI Think Tank released a report, “Enterprise Intelligence Driven by Agents: From Improving Individual Tasks to Scaling Enterprise Transformation,” examining six obstacles to enterprise AI adoption: task definition, data reliability, verifiable decisions, execution, responsibility and permissions, and measuring and replicating value. It proposes a full-chain framework around business outcomes and recommends proving one high-value use case before expanding.
Apple Executive Chairman Tim Cook said Apple Intelligence and the related Alibaba Qwen models have received approval, with a beta set to launch in China later in October. Speaking to media during an October 15 visit to Shanghai, Cook said the initial features include live translation, writing tools, and a photo cleanup tool; Siri AI is excluded from this release.
JD.com said the number of users placing orders on the first day of its 11.11 event grew by double digits year over year. At a launch event on October 15, the company also announced its “333” service plan and unveiled more than 100 service offerings. JD.com said its AI capabilities are being used across more than 3,000 scenarios, including retail, logistics, health, industry, food delivery and home services.
Meta has released Muse Spark Open, an open-weight model with 816 billion parameters (42 billion active), up to one million tokens of context, and text, image, video, and audio support. Meta reports leads over Qwen 3.8, GLM 5.3, and Kimi K3 in several benchmark categories, while trailing some competitors in coding. Weights are on Hugging Face; use requires the label "Built with Muse Spark Open," and API providers earning more than $20 million annually need a separate agreement with Meta.
The same story is shown in the picks as 《Meta releases Muse Spark Open, an open-weight multimodal mixture-of-experts model》
Cheng Lou released Handwired, an MIT-licensed project for manually expressing JavaScript program logic as neural networks with exact outputs, no training, and differentiable operations. Baoyu’s overview describes a browser desktop, document search, and a trainable photo layout demo. Handwired does not automatically convert existing JavaScript source code; developers must rebuild logic using its construction functions, declare value ranges, and work within 32-bit floating-point and execution constraints. https://chenglou.me/handwired/ https://github.com/chenglou/handwired
Guys this is like my superbowl I waited so long for US open weight models to be relevant again. Before today the US models were still behind Chinese models from as early as Feb. 2026. Still more work to do!
Guys this is like my superbowl I waited so long for US open weight models to be relevant again. Before today the US models were still behind Chinese models from as early as Feb. 2026. Still more work to do! This cut the gap by at least half, in time (say 3 months)
great doing business with you john apple 🍎🤝 https://twitter.com/johnternus/status/2110789142326165518
Alexandr Wang highlights @mjdouglas’s announcement that Muse Code 1.4.8 became much more token-efficient and everyone’s usage has been reset, effective immediately. https://twitter.com/mjdouglas/status/2110798276932853945
llama serve -hf ggml-org/Muse-Spark-Open-816B-A42B-GGUF:Q2_K (on two Mac studios). Well done @finkd & @johnternus!
Boris Cherny says Anthropic is partnering with Gray Swan to host a prompt injection competition, which Gray Swan announced with $300,000 and multiple frontier lab sponsors. Cherny says Claude models have made significant progress on prompt injection over the last few years, and solving it across the industry is increasingly urgent as agents do more. https://twitter.com/grayswanai/status/2110746350983737460
Over the last few years, we have made significant progress on prompt injection for Claude models. As agents do more, it is increasingly urgent that we solve it across the industry. Really excited to partner with Gray Swan to host this competition. Can’t wait to see what you find! @GraySwanAI announced a $300,000 AI red teaming challenge called “Indirect Prompt Injection: Black,” in partnership with Anthropic, Meta, Google DeepMind, Reflection AI, and other frontier lab sponsors. Cherny said Anthropic has made significant progress on prompt injection for Claude models and that solving it across the industry is increasingly urgent.
Day-0 support for Meta’s open-weight Muse Spark Open is live on vLLM, verified on NVIDIA and AMD GPUs as well as TPUs! 816B parameters, 42B active per token, a 1M-token context with image, video and audio inputs, built for long-horizon agentic coding. We’re excited to have worked https://t.co/MleWIPrBMD
Why it matters: Verification across NVIDIA and AMD GPUs and TPUs gives deployment teams concrete hardware compatibility information for running Meta’s open-weight model through vLLM.
NVIDIA’s Nemotron 3.5 Super VL is now available in Perplexity for Pro and Max subscribers, and in Agent API. https://t.co/fMVGtyZFFQ
Meta announced Muse Spark Open, describing it as the most capable US open-weight model to date, built for coding, agentic work, and multi-step reasoning. NVIDIA AI says the 816B model was trained on NVIDIA GB300 NVL72 and has a 1M-token context window for working across large codebases. Meta also produced NVFP4 checkpoints optimized for Blackwell Ultra. https://t.co/yAtoxNeYJm https://t.co/HJUKdC1n3D
The same story is shown in the picks as 《Meta releases Muse Spark Open, an open-weight multimodal mixture-of-experts model》
OpenAI’s GPT-Live-1.1 brings new voices, better accents, and less “checking...” to Voice in ChatGPT, Codex, and dots. New voices are available in French, German, Hindi, Mexican Spanish, Korean, and Japanese. Rolling out today to all users. Coming soon to the API.
Meta announced Muse Spark Open today, releasing its weights and saying it can run on two Apple M5 Ultra Mac Studios using the latest MLX framework. Meta says the natively multimodal model has 816 billion total parameters and excels at long-horizon tasks, complex software engineering, and multi-step reasoning. Meta and Apple collaborated over several months, and Apple published a technical post covering MLX, Muse Spark Open, and two other open models.
The same story is shown in the picks as 《Meta releases Muse Spark Open, an open-weight multimodal mixture-of-experts model》
Meta’s coding-optimized open-weight model Muse Spark Open is now available in Amazon SageMaker JumpStart in BF16 and NVFP4 variants, with a 1 million-token context window and 816B total parameters, including 42B active per token. AWS provides deployment instructions using SageMaker Studio or the SageMaker Python SDK, plus inference and cleanup examples. At launch, availability covers US East (N. Virginia) and US East (Ohio).
Why it matters: The deployment walkthrough connects BF16 and NVFP4 memory requirements to supported instance types, giving teams a concrete basis for planning infrastructure when evaluating the model on their repositories.
TechCrunch says savings of up to $200 on Founder and Investor Passes for its Founder Summit end October 16. The event is scheduled for November 4 at Boston’s SoWa Power Station, with Founder Passes priced at $199 and Investor Passes at $399. Both passes include deep-dive roundtables, breakout sessions, and 1:1 and small-group networking.
Could someone help me find an official way to open six Claude tabs in iTerm2, each linked to a different account? https://twitter.com/jhcao23/status/2110770182088249384
Baoyu shares Kling_ai’s announcement that Kling 4.0 is now fully available. The quoted post showcases KING CARD, created with Kling 4.0. https://twitter.com/Kling_ai/status/2110747526840361191
Baoyu reports that Meta released Muse Spark Open on October 15, an open-weight model with 816B total parameters, 42B active parameters, and a 1M token context window. It accepts text, images, video, and audio and outputs text; the Muse Model License permits free commercial use subject to attribution, usage restrictions, and a separate agreement for qualifying API businesses. The model card lists minimum memory requirements of 700GB for NVFP4 and 2TB for BF16, while Meta describes optimization for two Mac Studio machines with 512GB unified memory each.
The same story is shown in the picks as 《Meta releases Muse Spark Open, an open-weight multimodal mixture-of-experts model》
Argon has a similar performance profile on ARC-AGI-3 as Astra, François Chollet says, adding that Google is back at the frontier. https://t.co/a6GGEsMN4A The quoted ARC Prize post reports Gemini 4 Argon’s verified ARC-AGI-3 results of 97.5%, $4.8K with a provider adapter harness and 49.8%, $5.8K with the standard harness, plus 91.3%, $0.32/task on ARC-AGI-2 and 98.5%, $0.16/task on ARC-AGI-1. https://t.co/8siwgfBJcr
Why it matters: The reported ARC-AGI-3 scores distinguish provider adapter and standard harness results, providing context for Chollet’s comparison of Argon with Astra and his assessment of Google’s frontier position.
Muse Spark Open — weights out today! Best US open-source model, and runs on the new Mac Studio 🍎 https://t.co/C8PU0RvlUA
1/ Muse Spark open is the most capable US open-weight model to date. 816B total params, 42B active. 1M-token context. Natively multimodal. Built for coding and agentic work like long-horizon tasks, hard software engineering, and multi-step reasoning. America! 🇺🇲 https://t.co/NjtOB7aY9D
muse spark open. why 2026 won't be like 1984 https://t.co/jYnOSfZf9u
