Vercel Sandboxes with Drives start 2.4x faster. • Median creation drops from 1.7s to 0.7s • p95 creation drops from 2.2s to 1.6s • No SDK upgrade or config changes needed https://t.co/nuQLD0BZrp
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Recursive Language Models: Claude Code, Agent Swarms, Big Research Bets, & the $40M AI Problem Solver https://t.co/VceYUKpcTo MIT’s @a1zhang explains why Claude Code, Codex, and Pi are basically the same, how RLMs use code, context offloading, and recursive subagents to generalize across tasks, why one expert can sometimes replace a trillion-token brute-force search, what OpenAI’s 10,000-agent, 130B-output-token experiment reveals about the future of language models, and why academia’s biggest advantage is the freedom to take weird, ambitious research bets.
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In updating a graphic showing U.S. company AI adoption over time according to a long-running U.S. Census Bureau survey, I found out that the Bureau's work has been sullied by that asinine "Super Intelligence" executive order https://t.co/YEu1tnWweT
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We asked GPT-6 Astra to edit Qwen3.5-0.8B weights to improve math. It directly changed only 0.016% of weights, fixing 0.8B's reasoning loops & improving math up to 6x and even instruction following 3x, without gradients or training. We call this Weight-Space Programming: frontier LLMs can now natively read/write neural network weights! 🧵 Blog: https://t.co/bOWCcFhCVq
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China's first AI feature-length theatrical film to obtain a public screening license, "Sanxingdui: Future Past," has grossed only about 1.26 million yuan in cumulative box office over 5 days since release, with an attendance rate of less than 1%, and some platforms predict its total box office may reach only two to three million yuan. The film's production cost is in the tens of millions of yuan range, and audience feedback centers on "chaotic narrative," "too many logical holes," and a "strong AI feel." The article argues that AI can compress costs and enable small and medium-sized teams to dare to take on heavy-VFX subject matter, but audiences pay for the story, not for the tool.
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Anthropic has updated the system prompt for Claude Code, prohibiting the tool from being used to replicate existing video games, while still allowing users to create original games, games of a certain genre, or games based on users' own designs and assets. Anthropic's Addy Osmani confirmed that the company has updated Claude Code's prompt on Opus 5.5, but did not confirm the specific wording in screenshots posted by X users.
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Anthropic has launched the public beta of message threads for the Messages API on the Claude Platform; agents now only need to send newly added content each turn rather than resending the full conversation history. For requests of 500k to 1M tokens, median time to first token (TTFT) drops by about 35%, and the feature is enabled by default for most Claude Code users. To use it, add the thread parameter to the request, send the full conversation and open the thread in the first turn, then include only the new message and the previous response ID in subsequent turns; threads expire 5 minutes after the last request, are stored encrypted in memory during that period and not written to disk, and token usage remains unchanged.
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John Deere unveiled its AI assistant JD in September at the Farm Progress Show in Iowa. It is integrated into the Operations Center platform, which connects farmers' field and machine data, and farmers can ask questions on their phones, for example determining the best harvest time based on historical trends. Melissa Neuendorf, principal product manager for customer AI solutions at John Deere, said farmers' data volumes are too large and manual analysis can sometimes take weeks, while JD can complete the analysis in minutes. A McKinsey survey of 5,500 farmers released in September showed that 72% expect generative AI to affect operations within five years, but only 17% are currently using it; Matt Darr, a professor at Iowa State University, mentioned that farmers are concerned about data privacy and its impact on commodity prices.
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The New York Times and other media outlets sued the browser Brave in Manhattan federal court, alleging that it used an unnamed crawler to build an index of more than 30 billion web pages, leaving publishers unable to block it. The complaint also targets Brave's practice of bypassing paywalls and blocking publishers' ads while selling its own ads; the New York Times is seeking an injunction and damages. On the same day, the Daily News, Chicago Tribune, and Orlando Sentinel filed separate similar lawsuits.
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Day 28/ tibo's game has landed i spent $5.99 on this domain, but i had a blast making it with grok bot and cursor! i hope you enjoy it and find all the easter eggs 🤍 if i did it right you should be able to play it inside of X too https://t.co/diV7PyPaqv
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Yufan Intelligence's fully self-developed quadruped robot "Lingmao" won first place in the autonomous speed ranking at the first CMG World Robot Mount Tai Climbing Competition, and for the first time completed verification of fully autonomous navigation, autonomous obstacle avoidance, and autonomous decision-making capabilities. "Lingmao" weighs only 15 kilograms, has a payload of 20 kilograms, and a payload-to-weight ratio of 1.3:1. It is the smallest quadruped robot in this competition, competing against larger 40–65 kilogram-class robot dogs. Its best time for autonomously completing the 3.9-kilometer course was 35 minutes and 47 seconds, faster than the approximately 40 to 45 minutes achieved by professional Mount Tai climbing companions.
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Introducing: Phone Harness MCP 🔌 Any agent that supports MCP can now control a real iPhone or Android in the cloud: > works in Claude, ChatGPT, Cursor, Codex, and more as a custom connector > nothing to install, just paste a URL and sign in > sees the screen, taps, types, and swipes like you do Available in phone-harness 0.3.3. https://t.co/88u1gSgvtS
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Announcing Drex for Finance - the multimodal decision model, post-trained for sub-second financial decisions. Financial operations require precise, regulatory-grade decisions with zero hallucinations across filings, support, credit risk, live fraud prevention, quant signals, and compliance. Evaluated on 48 held-out finance benchmarks: - 85.7% accuracy across 3,361 decisions (+14.8% vs. GPT-6 Luna) - 77.3 Finance Index (+13.7 vs. Jev 1.14, +11.5 vs. Drex-Max v1.1) Trained for sub-second financial intelligence across the entire pipeline: - Financial Documents & Filings: Extraction decisions, classification, and clustering - Credit & Lending: Automated underwriting, PD modeling, and EWS - Fraud & AML: Sub-second transaction scoring, ATO defense, and SAR clustering - Markets & Trading: Regime detection, meta-labeling, and LOB execution signals - Insurtech & RegTech: Claims fraud detection, sanctions screening, and audit reconciliation Available exclusively on Nace Console: https://t.co/vdEavE1LhL
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In Jan this year I called my content strategy shot: "Scaling without Slop". It's finally starting to work. It took us 3 years to reach our first 100k on youtube. It only took 1.2 months for the next 100k. Similar other metrics on AEO/SEO/subscriber traction and have a lot of New Media ideas that I'm excited to pursue. officially giving notice of the next phase of Latent Space, AINews, and what the rest of swyx inc has been cooking below
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Very proud to showcase our latest demo of how our Engineering World Model SKY-001 can design a complex Jaguar car with 1000s of complex parts. In order to get us to Autonomous Manufacturing, we need to design systems that can think like a ‘AI General Engineer’: planning complex physical structures, long term sequences, and feasibility directly in the physical domain rather than approximating it through next-token prediction. Engineering design operates in the spatial reasoning domain through hierarchical decomposition, constraint satisfaction, and the sequential construction of complex physical objects. World models are going to be the next frontier in AI after LLMs and SKY-001 is just the beginning.
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