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Project Eve's first official trailer has been released. All footage captured on PS5. Please enjoy it! #EVE# #ProjectEVE# #PS5Showcase#
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프로젝트 이브의 첫 번째 공식 트레일러가 공개됐습니다. 모든 장면은 PS5에서 촬영했습니다. 꼭 감상해 주세요! #이브# #projectEVE# #game# #PS5予約# #PS5Showcase#
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You haven’t seen anything like this before. @HyperliquidX, inside the VEX App. Not another Hyperliquid bot. Not a terminal wrapped in AI. Not a chatbot pretending to trade. This is Hypervexing. A dedicated @HyperliquidX workspace inside @ProjectVEXai, where an agent can see the market, understand your positions, and operate only within the rules you define.
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「Project Eve」 unveils a new story trailer under the official name of 『STELLAR BLADE』. All footage are PS5 real-time rendering.😊 @StellarBlade
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Project EVE的第一個官方預告公開了 所有場面都是在PS5拍攝的。 請務必欣賞! #夏娃# #PS5Showcase# #Project夏娃# #控制檯遊戲#
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I keep seeing buddy on tiktok live. people in the chat can pay to pelt him with some kind of projectiles
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Microsoft just disclosed for the first time taht OpenAI supplied ~70% of Microsoft's AI revenue, per new filings. based on projected growth and previous disclosures that relate to revenue derived from OpenAI. Most of the $24.1B is OpenAI's cloud bill for the Microsoft data centers that train and serve ChatGPT, topped up by model-development costs and a share of OpenAI's own sales, all booked together as revenue by the Microsoft that has also funded $11.9B into OpenAI.
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DeepSeek-V4-Flash-DSpark has now completed the r0b0bench core-subset protocol on 2× NVIDIA GB10. ⚡ Quality • GSM8K: 95.0% • HumanEval pass@1: 90.9% • ARC-Easy: 96.0% • IFEval lightweight: 79.5% • BFCL multi-turn: 75.5% Performance • Dedicated C1 decode: 79.2 tok/s • Aggregate output throughput: C1 86.9 · C2 145.9 · C4 239.3 · C6 337.8 tok/s • TTFT mean: 221.9 ms • ITL mean: 68.9 ms Long context Needle retrieval passed at 25%, 50%, and 90% depth across a full 1,048,576-token context. ✅ 0 infrastructure errors ✅ Runtime gate passed ✅ 5/5 canaries passed ✅ Package-backed, reproducible result freeze ✅ Valid for publication These are measured results—not projected capabilities or marketing claims.
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As millions of humanoid robots enter homes, hospitals, hotels, retail, manufacturing, andpublic spaces, they'll need more than software updates—they'll need appearance maintenance. Who develops synthetic skin cosmetics?
Who restores realistic facial pigmentation?
Who creates protective coatings against UV, wear, stains, and microbes?
Who designs seasonal appearances, premium finishes, cosmetic upgrades, and personalized aesthetics?
Who certifies compatibility between cosmetic materials and different robot models? This isn't traditional cosmetics. It's thebeginning of a new discipline at the intersection of robotics, materials science, chemistry, industrial design, and AI. The industry will require:
• Specialized cosmetic formulations for synthetic skin
• Global product catalogs and compatibility databases
• Research repositories and technical standards
• Certified maintenance professionals
• Digital marketplaces connecting manufacturers and service providers
• Education, training, and certification platforms. believes we'll eventually see an entire digital ecosystem dedicated to humanoid cosmetics—where researchers, manufacturers, technicians, designers, and consumers collaborate to shape how robots look, feel, and age. Enter the digital asset of the future: The robots of tomorrow won't just be intelligent. They'll have a lifecycle of care, restoration, personalization, and cosmetic innovation. The future isn't just humanoid robotics. It's Humanoid Cosmetics. #HumanoidRobots# #Robotics# #Cosmetics# #SyntheticSkin# #MaterialsScience# #RobotDesign# #HumanRobotInteraction# #CosmeticScience# #FutureTech# #Innovation# #Automation# #DigitalTransformation# #EmergingTechnology# #TechStartups# #Industry40#
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