Google released its new Gemini Robotics AI platform. It... can take natural language instructions and uses vision AI to complete tasks that require dexterity: ▫️Folding origami ▫️Toy organization ▫️Packing lunchesshow more

Try 👁 Agentic Vision with Gemini 3 Flash in... Google AI Studio or Vertex AI. This new capability enables the model to effectively use code and reasoning to improve performance for common vision tasks. See Agentic Vision in action:show more

Somniacs, let’s welcome The fifth season in the Somnia... testnet kicks off — and with it comes a brand-new quest! Your Mission ▫️Animate an NFT in “The Great Gatsby” style. ▫️Launch the sale on the platform. ▫️Share your artwork on X: include the mint link and add the hashtag #SomniaGatsby. And of course, don’t forget to follow us on social media — you won’t miss any announcements or bonuses that way. Important Details ▫️Format: GIF ▫️Size limit: up to 10 MB Wishing you success in the quest and inspiration in every frame! P.S. We have a step-by-step guide :show more

Google I/O leaks 👀 Google is likely already testing... its own "Cowork" competitor, simply named "Agent" for Gemini and Gemini Enterprise. A new "Tasks" UI highlights - Goal - Agent - Connected apps - Files - Require a human review toggle - And more The "Require a human review" component specifically means that Gemini's capabilities will likely expand, potentially allowing users to automate their desktop tasks as well. Skills and Projects are also cooking 👀show more

GPT-4o level multimodal LLM running on your phone. MiniCPM-V... 4.5 outperforms GPT-4o, Gemini-2.0 Pro, and Qwen2.5-VL 72B on vision and language AI tasks. It can even understand videos and perform OCR in 30+ languages. And it's 100% Opensource.show more

Google DeepMind is absolutely on fire 🔥 they have... just launched Gemini Robotics-ER 1.5 their first broadly available robotics AI model designed to act as the "high-level reasoning brain" for robots. This is Google's first Gemini Robotics model made available to all developers. - Available in preview through Google AI Studio and Gemini API. - First thinking model for robots interacting with the physical world. Handles complex commands and orchestrates sophisticated robotic behaviors. - Key capabilities: Advanced spatial reasoning, multi-step task planning, Google Search integration, precise 2D pointing, object reasoning, and video analysis. - Flexible thinking budget lets developers tune speed vs accuracy. Can think longer for complex tasks or respond quickly for reactive operations. - Enhanced safety filters refuse dangerous tasks and recognize physical limits.show more

The Gemini 2.0 era is here. And we’re excited... for you to start building with it. A quick rewind of what we just released ⏪ Gemini 2.0 Flash ⚡ comes with low latency and better performance. 🔵 You can now access an experimental version in G3mini on the web, while Gemini Advanced users can try Deep Research, a new AI research assistant. 🔵 Developers can begin building through the Gemini API in Google AI Studio and Vertex AI 2.0 is also enabling new research prototypes of AI agents, including: 🔵 Project Astra, which explores future capabilities of a universal AI assistant 🔵 Project Mariner, which shows what’s possible for human-agent interaction, starting with your browser 🔵 Jules, an experimental AI-powered coding agent Finally, we’re exploring how 2.0 can be used in agents across domains — from navigating the virtual world of video games to applying its spatial reasoning capabilities to robotics. 🤖show more

Ever wondered where words come from? 🗺️ built this... app on Google AI Studio called 'Wanderword' to map the evolution of language through time and space. It uses Gemini to trace linguistic roots and D3.js to animate the geographic migration of words through history.show more

BITHOVEN is now on Telegram ✨ The wait is... over! 🤫 We've been working on something special, and now it's time to introduce the WHO•IS•BITHOVEN bot on Telegram. Get ready to dive into the world of Runes like never before! ▫️ What is WHO•IS•BITHOVEN? This is the first ever RUNE you can farm for free! Earn as many as you want with no risk and pay chain fees just once to withdraw! ▫️ How to get BITHOVENs: 1. Go to the Telegram bot at 2. Collect your BTHV every 8 hours. 3. Complete the tasks and get even more. ▫️ What wallet to use: 1. UTXORD wallet provides you with more advantages. Setup guide: . 2. You can use an existing Bitcoin address that supports Ordinals and Runes 💚 Be among the first in the Bitcoin community on Telegram! — El Ososhow more

Robotics keeps hitting the same wall. Single task RL... works, but... it does not scale to hundreds of tasks or new embodiments. This new paper looks like a real step toward fixing that. The team introduces MMBench, a benchmark with 200 tasks across many domains and robots, and Newt, a language conditioned world model trained online across all 200 tasks at once. The simple idea behind Newt: The model learns from demos to get the right priors It trains across many tasks through online interaction It uses language to ground the goal It adapts fast when a new task shows up What stood out to me: ✅ One model trained on 200 tasks at the same time ✅ Language conditioned control for both states and RGB ✅ Better data efficiency than strong baselines ✅ Strong open loop control ✅ Fast adaptation to new tasks and embodiments ✅ Full release of 200 checkpoints, 4000 demos, code, and benchmark This is a good push toward general control instead of one model per task. If you want the full paper: Project page: —- Weekly robotics and AI insights. Subscribe free:show more

Most traders think psychology is just “control your emotions.”... It’s deeper than that. Trading psychology is the quality of decisions you make under uncertainty. Can you stay patient when nothing is clear? Can you execute when your setup appears without fear? Can you take a loss without revenge trading? Can you follow your plan when greed tells you to overstay? That is psychology. A bad mindset doesn’t only show in emotions. It shows in: • Overtrading • Moving stop loss • Entering early • Ignoring confirmations • Risking too much • Chasing after losses • Closing winners too soon How to improve your psychology: ▫️Manage your risk When the money at stake is too high for your mind, emotions take over. Risk appropriately and think clearer. ▫️Trade only clear setups Random entries create stress. Clean setups build confidence. ▫️Accept losses before entering Every trade can lose. Once you accept that, losses hurt less and decisions improve. Journal your behavior ▫️Don’t only record profits. Record mistakes, emotions, impatience, greed, fear. Patterns will expose themselves. Detach from daily results ▫️One day means nothing. Consistency is built over many trades, not one session. Build discipline off the chart If you can’t control small habits in life, it becomes harder to control yourself in the market. The market is not only testing your strategy. It is testing your character every single day. GM💜show more

the fact that i can take a random car... image from google and turn it into a 3d asset in one go with ai is completely nuts to meshow more

Today we’re introducing Google AI Threat Defense - a... comprehensive AI-powered cybersecurity solution designed to help continuously monitor for and stop AI-powered threats before they can impact your business. Here’s how it works: 1. AI Threat Defense uses our cybersecurity platform Wiz to scan and prioritize what applications and systems have the highest security risk. 2. Gemini and other frontier AI models can then autonomously perform continual deep scanning of your applications - starting with those at the highest risk - to identify security vulnerabilities. 3. The capabilities of CodeMender - a new software repair agent - are then used to verify and accelerate the patching of vulnerabilities. 4. And our Wiz autonomous agents continuously test your systems to find unknown vulnerabilities before adversaries do so that you can remediate them before you are attacked. While other model providers focus on using AI to find and flag vulnerabilities, Google AI Threat Defense actively prioritizes your most critical real-world risks and accelerates their remediation using a variety of models since no single model finds a superset of the vulnerabilities found by all other models.show more

🛠️ What if a robot could invent its own... tools. And teach itself how to use them? That’s exactly what VLMgineer does: a new framework that lets Vision Language Models (VLMs) design physical tools and the actions to use them, entirely on their own. No templates. No human demonstrations. Just raw, AI-driven creativity. Why it matters ✅ Co-designs tools and actions together using VLMs, ensuring tight coupling between form and function ✅ Uses VLM-guided evolution (not random search) to refine designs intelligently ✅ Outperforms human-designed tools by +64.7% in task success across 12 RoboToolBench challenges ✅ Produces better-than-everyday tools for real manipulation tasks—measured in success rate and elegance It builds on the emerging trend of large-model-guided evolutionary design (like Eureka and AlphaEvolve) and brings it into physical robotics. It opens the door to general-purpose, automated hardware design, no strong priors needed. Code & paper: —- Weekly robotics and AI insights. Subscribe free:show more

Wow. Alibaba just quietly released one of the most... useful AI products of all time. It's an AI agent that you can install instantly in any browser to do tasks for you using Qwen 3.5. No setup, no token costs, 100% free and open source. Try it now:show more

Exploring the Arbitrum Ecosystem: join our Arbitrum Voyage on... Galxe! 🧑‍🚀 We’ve launched a large-scale campaign together with other talented builders in the Arbitrum ecosystem! Explore the boundless expanse of this open network and earn special rewards — including the exclusive SafePal X1 Hardware Wallets for secure crypto storage! 📅 Dates: August 19 — September 8 💰 Prize pool: $1,150 epic reward + SafePal X1 Hardware Wallets worth $300 🔗 Join here: Meet our special campaign partners: ▫️ — A leading non-custodial wallet suite supported by Animoca Brands, Binance, and Superscrypt. Available on mobile, hardware, and desktop, SafePal supports 200+ blockchains, 16 languages, and serves over 25M users worldwide. ▫️ 1inch — A DeFi aggregator unlocking the next era of cross-chain trading. Users can now perform trustless swaps between Solana and 12 EVM networks in just one click. 1inch ensures the best rates, deep liquidity, and MEV protection, making complex cross-chain transactions as simple as a regular swap. ▫️ OMNIA P̶r̶o̶t̶o̶c̶o̶l PrivacyOS — A specialized RPC provider for DeFi traders, developed by cybersecurity, privacy, and trading experts. Special prize allocation: $150 ▫️ Atomic - Crypto Wallet — A trusted decentralized wallet with over 10M users. Store, swap, and manage DeFi assets, NFTs, and memecoins — all in one secure app. ▫️ Camelot — The go-to liquidity hub for the Arbitrum ecosystem, providing a decentralized exchange and infrastructure for Orbit chains with a focus on speed, flexibility, and innovation. ▫️ iMe Smart Platform — A next-gen AI messenger that merges Telegram with a self-custodial wallet and DeFi tools. Manage your chats, crypto, and use 20+ AI and blockchain features — all in one app. ▫️ Coin98 Super Wallet — A multi-chain DeFi wallet supporting 150+ blockchains and 15,000+ dApps. With 10+ million users worldwide, it empowers DeFi and helps securely connect to the crypto world. The Galxe campaign is now live — participate, climb the leaderboard, and win prizes! 💥show more

OpenAI's Deep Research is getting a run for its... money. Deep Lake was just released, and it's a different take on an AI system that can do deep research on your own data. You can use Deep Lake to build AI search with reasoning on your private and public data. (Look at the attached videos to get an idea of how it works.) If you want to research proprietary and sensitive data, Deep Research won't help you because it's limited to public data. Deep Lake, however, will allow you to use your private data. On top of that, Deep Lake supports multi-modal retrieval from the ground up. It uses vision language models for data ingestion and retrieval so that you can connect any data (PDFs, images, videos, structured data, etc.) You can even use mixed-data queries! Deep Lake can search your data from S3, Dropbox, and GCP. It learns from your queries over time, making the results as relevant to your work as possible!show more

That dog in your photo? He's got something to... say. 🐶 Turn your images into eight-second video clips with sound effects and speech in the Google Gemini and Flow from Google Labs. This feature uses Veo 3 to generate motion that reflects real world physics and includes a new experimental audio capability so you can really bring your images to life. Try it at andshow more

Building robots that can effectively operate alongside human workers... is difficult. 🛠️ Advances in open-source physics, open foundation models, and frameworks are helping accelerate physical #AI deployment. ✔️ Newton Physics Engine, an open-source GPU-powered simulation built on OpenUSD, speeds up robot learning for advanced manipulation and mobility. ✔️ NVIDIA Cosmos Reason, an open reasoning vision language model, gives robots the ability to think like humans using prior knowledge, common sense and physics ✔️NVIDIA Isaac GR00T N1.6, an open robot foundation model, enables humanoids to understand ambiguous instructions Leading robotics developers including Agility Robotics, Lightwheel, Mentee Robotics, UniversalRobots, and Wandelbots are adopting simulation technologies and libraries to accelerate physical AI development and deployment. Omniverse Ambassador Dylan Tobin built an AI chatbot trained on Isaac Sim workflows, helping devs navigate Omniverse faster. Read the full blog 👉show more