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AI is messy. I make it make sense. 🤖 🛠️ Stripping down algorithms so you can actually use them. 💡 No fluff, just pure productivity. 🎨 Human creativity on AI

Earth
Joined February 2026
Photo by Smart Spark (@smartspark100)
AI is moving too fast. Most of it is noise. I’m here to provide the signal. I break down complex algorithms and the agentic future so you can: Stay ahead of the curve. Boost your productivity. Not get hacked in the process. Human grit x Machine power. Welcome to the future
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build extended reality (XR) apps in ai studio! we've added support for XR Blocks, so you can vibe code interactive 3D apps from a single prompt with: • hand tracking and pinch gestures • real-world tabletop and wall physics • 360° 3D holograms from text or photos
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Smart Spark retweeted
Introducing Gemini 4 Carbon, our latest frontier model. Carbon delivers improved performance across domains — ranking #1 on v5.0 of the @ArtificialAnlys Intelligence Index and sets a new state-of-the-art in cybersecurity and long-horizon capabilities. It’s rolling out starting this week to cyber defenders through our Fairwind Program, with expanded access coming soon 🧵
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And another one.
A wild @Pumpfun has entered Elysium. The Pump is going interplanetary. e/acc
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This is Genie 4, our most realistic and interactive world model yet. 🌐 Explore dynamic environments in real time to see how the scene responds, sounds, and how the people in it move, react, and speak.
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❗️ A bug in Microsoft Authenticator let an Android app with zero permissions pose as Teams and steal a user's work-account tokens. In Enclave's tests, the tokens opened the victim's mailbox, files and calendar with no prompt. Microsoft fixed it in July as CVE-2026-80097.
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A New Era for Hyperliquid, November 9th. See you on Elysium mainnet. e/acc
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Elysium is now live on @Quicknode Testnet endpoints available today, with day one partner support for mainnet.
Elysium testnet is live on Quicknode. @Kinetiq_xyz built @Enter_Elysium as an L2 on top of HyperEVM, giving Hyperliquid apps one more place to build, with everything settling back home. Stoked to be a day 1 partner for the upcoming mainnet 💪🔽
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Gemini 4 Argon is here. To show you what it can do, here are 5 builds from our team 🧵 ↓ nitter.cf/fofrAI/status/21100430…
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Gemini 4 Argon apps to try in AI Studio 🧵 1) Argon Tennis ai.studio/apps/bundled/argon…
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Today, Gemini 4 Argon is officially rolling out.
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Gemini 4 Argon is here! It is our frontier model built for complex workflows across real-world software engineering, tested across Google's own codebases on real production challenges. There, we have seen an improvement in both developer velocity, with a 35% increase in agentic code, and code quality, with a 30% decrease in post-submit rollbacks. Rolling out now to Google AI Ultra subscribers, try it in the Antigravity app and the Antigravity CLI. Get inspired with what you can build today ↓
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The moment you've been waiting 4… Our new frontier model, Gemini 4 Argon, is rolling out now in the Gemini app to bring your most complex ideas into reality. See how Gemini 4 Argon and our latest updates across the Gemini app help you get the most out of every prompt. 🧵

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Welcome HomeView
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Technical moats are mostly over at this point. If you’re building something that is meant to be durable, the only moats now are: • Proprietary data • Network effects • A physical component
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Today at Google Cloud’s Gemini at Work event, we announced Gemini, a new single universal agent for work that has all of your business context and can be used for everything from knowledge work to answering questions, and content creation to coding, all from a single prompt box. It’s built around core architectural principles: ☑️ Unified Agent: Gemini can answer questions, do knowledge work and generate code from a single prompt box. ☑️Access: Gemini is web-based and can be accessed from any device and integrated into third-party applications. It can also operate without a dedicated user interface. ☑️Persistent Execution: It runs in the cloud, which means it maintains a single set of memories, context and one personalization graph no matter where you access it. ☑️Multi-Agent Orchestration: Gemini can create sub-agents to tackle multi-step tasks and can also act as a coworker agent with a defined role and its own dedicated identity ☑️Context: Gemini knows your tools, data, and work history and learns how you work the more you use it. ☑️Model Choice Flexibility: It orchestrates across multiple models to deliver optimal quality and lower your costs.
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Our SynthID technology lets you easily verify if an image, video, or audio file is AI-generated, and today we’re expanding access. Now anyone can go to synthid.com to check files for a SynthID watermark — whether they were generated by us or industry partners like @OpenAI, @nvidia, Kakao, and, coming soon, @Apple. To date, we’ve watermarked 180 billion images and videos and more than 240,000 years of audio content, regularly handling 1 million verification requests daily. This new portal joins our built-in verification features already live in Search, @GeminiApp, and @googlechrome.
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Haiku 5.5 is now available in the Claude Platform and Claude Code. On average, it costs around 75% less to run than Haiku 4.5. It pairs well with Opus 5.5 or Sonnet 5.5 as a subagent. Use it for high-volume, cost-sensitive tasks like summaries, compactions, or database queries.
Introducing Claude Haiku 5.5: the cheapest, fastest, and most capable small model we’ve ever released. On average, it costs around 75% less to run than Claude Haiku 4.5.
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We’re releasing a broad range of new mathematical results produced by an internal frontier model. We’ve been consulting with the independent Advisory Group on Mathematics and Artificial Intelligence at the Institute for Advanced Study, and we have drawn on their advice and public recommendations to inform how we release these results. github.com/openai/math
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The AQAv2 era has finally begun.
A few hours ago, the Hyperliquid Assistance Fund received the AQAv2 payment for Period 1: 14.58M USDC. At its latest buying pace, this could keep its cash balance above $10k for another 2–3 days. It works in a very simple way, using the same $10k order size as before: it places limit buy orders and constantly refreshes them. They’re basically to Chase Limit Orders. This limits how much someone can sell into each order, but they can still sell into successive bids and drain the AF’s cash quickly. As of 07:52 0 UTC, the AF had spent 1.62M USDC buying HYPE since the payment and still held 13.10M USDC. At the buying pace of the latest two hours, and accounting for its normal weekday fee income, it would take roughly another 2–3 days to get back towards $10k, if that pace holds.
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