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Kamilla Dilmukhametova's best Wuxi moments — all in one video. Tap to explore her journey. cr: RedNote ID 42220670902
In Depth: The public airing of a legal dispute between #Xiaohongshu# and a former employee over his dismissal and stock options has cast a shadow over any future Hong Kong listing by the Chinese lifestyle platform, also known as #RedNote#.
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Ghast AI v0.1.8 is live. 🆙 🐛 Fixed MiniMax / DeepSeek compatibility 📦 Hardened managed Skill execution environment 📕 Fixed RedNote login state cleanup try it👇
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Ghast AI v0.1.17 is live. 🆙 1️⃣ Made Coding Mode more reliable when reading projects, editing files, running commands, and checking its work. 2️⃣ Made web, X, and Rednote searches faster, broader, and less likely to repeat the same search. 3️⃣ Improved recovery when a reply, tool task, or long conversation is interrupted or appears stuck. 4️⃣Improved Computer Use across desktop apps, with more reliable controls and better Windows support. 5️⃣ Improved memory quality and multilingual recall while reducing unnecessary background work. 6️⃣ Improved tool approvals, reasoning display, model compatibility, and several chat interface details. try it 👇
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Latest open artifacts (#20#): New orgs! New types of models! With Nemotron Super, Sarvam, Cohere Transcribe, & others The top end of the market was quiet, but "industry-scale tinkering" just got very loud. We're seeing a massive shift: specialized, cheap open models are now the crucial tools complementing closed agents. Analysis & breakdowns of: - @NVIDIAAI Nemotron-3-Super-120B: 1M context + NVFP4. - @cohere Transcribe - @SarvamAI -105B - @MistralAI -Small-4-119B Massive coverage of new artifacts from: - Coding & Logic: @zeddotdev @Meituan_LongCat & Goedel-LM - Multimodal/OCR: @Microsoft @YuanAI_Lab @BaiduAI & @xiaohongshu (RedNote) - RAG & Search: @trychroma @LightOnIO & @miromind_ai - Robotics/Agents: @Reka_AI @hcompany_ai & @ServiceNowRSRCH - Creative & Audio: @bfl_ml @hume_ai & GAIR - Data & Infra: @allen_ai @IBM @markov__ai @StepFun_ai By @natolambert & @xeophon
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Primitive Weekly POV snapshot: This week, our team dives deep into why localization wins in prediction markets, why we invest in @tenbinlabs and why the "Equity Perp" window is the next big global access play. Here is the breakdown from the PV team👇 1/ 🌍 Prediction Markets: Localization is the Moat @DoveyWan challenges the "one size fits all" view of prediction markets.Most platforms miss a key point: Category Mix: >West (Kalshi/Poly): Dominated by Sports & Politics (~80%+). It's a "Reality Show" economy for whales. >East (Opinion): Politics is constrained, but culture and speculation thrive. Just as RedNote is distinct from Instagram, prediction markets will split into regional "recipes." Localization isn't just a feature but the path to compounding repeat volume through cultural curation. 2/ 👏The RWA Liquidity Trap: Enter Tenbin. Stablecoin payments are onboarding the next wave of capital, but existing RWAs are stuck in a "liquidity tax" death spiral. @0xtony0x introduces Tenbin—our latest bet to fix this. Tenbin is the first tokenization platform designed to bring CME-grade depth directly on-chain with: >0% mint/redemption fees. >RFQ-first integration for instant price discovery. >A modular stack for Commodities and FX. We’re moving the world’s most liquid markets at the speed of DeFi. 3/ 📈 The Rise of On-chain Equity Perps @YettaSing drops a massive deep dive on why Equity Perps are the ultimate "Export of Access." The US doesn’t just export dollars; it exports access. Stablecoins did this for T-bills; Equity Perps are doing it for stocks. The Thesis: >By turning equities into plug-and-play collateral, we are moving toward a global tokenized margin network. >The Reality: 24/7 trading and 1:1 capital efficiency are flipping the script on CEXs. >The Risk: The window is closing. As US regulators (SEC/CFTC) begin studying perps, the "offshore" speed advantage will eventually meet onshore rails. The time to scale is now. 4/👀 Macro Check: High-Level Fragility. Is the "Hard Landing" closer than we think? @adaYen72 points out a dangerous divergence in the LMEX (London Metal Exchange Index). >2022: Prices were high on "free money" and fear (Real yields at -0.5%). >2026: Prices are at the same highs, but money is expensive (Real yields at +2%). This is a physical squeeze in a high-rate environment. Corporates running massive capex on 2% real rates have zero margin for error. If cash flow misses, debt service explodes. With sticky supply-driven inflation, there is no "Fed Put" to save us. We are seeing max complacency before a potential hard landing. That’s the snapshot for this week. Stay tuned. Stay primitive. 🛡️
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