Apple’s Embedding Atlas (MIT license) lets you explore, cluster,... search, and filter millions of points in real time with WebGPU. Great for AI, data science, and research. Demo: apple.github .io/embedding-atlas Source: github .com/apple/embedding-atlasshow more

🚨 INSIGHT: Stagnant crypto engagement and lack of real-world... connection are limiting blockchain adoption. Web3 is revolutionizing engagement by merging virtual and real-world experiences through tokenization, AI, and blockchain. Chain Atlas by Belong gamifies real-world exploration with geo-based NFTs and AI-guided missions to bring blockchain to life in cities worldwide. Chain Atlas lets players unlock NFTs and earn Proof-of-Location tokens by visiting landmarks, join blockchain clans, and compete for rewards, all within a $1M prize pool. Ready to explore your city and unlock blockchain rewards? [Cointelegraph Acceleration]show more

Introducing VL-JEPA: Vision-Language Joint Embedding Predictive Architecture for streaming,... live action recognition, retrieval, VQA, and classification tasks with better performance and higher efficiency than large VLMs. • VL-JEPA is the first non-generative model that can perform general-domain vision-language tasks in real-time, built on a joint embedding predictive architecture. • We demonstrate in controlled experiments that VL-JEPA, trained with latent space embedding prediction, outperforms VLMs that rely on data space token prediction. • We show that VL-JEPA delivers significant efficiency gains over VLMs for online video streaming applications, thanks to its non-autoregressive design and native support for selective decoding. • We highlight that our VL-JEPA model, with an unified model architecture, can effectively handle a wide range of classification, retrieval, and VQA tasks at the same time. by Delong Chen (陈德龙) Mustafa Shukor Théo Moutakanni Willy Jade Lei Yu Tejaswi Kasarla Allen Bolourchi Yann LeCun Pascale Fungshow more

My Crypto API is finally live. Lets you pull... real-time and historical prices. Data is sourced from: • coinbase • bitfinex • kraken This lets let me finally explore + build AI agents in the crypto space. I will add crypto to both my AI hedge fund and chat-based AI financial agent. Both are open-source, so all code is shared. Let me know what other crypto data to add!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

With ChatGPT Atlas, we aim to push the boundary... of what a browser can be — integrating ChatGPT and evolving it into an agent that takes action for you. But even as we build that future, the basics still matter. For most people we talk to, their tab strip is overflowing with too many tabs (mine certainly is!). This week's Atlas release: revamped tab search and a new 'auto organize' your tabs button. Click to remove duplicates, merge windows, or let ChatGPT group your tabs in a way that makes sense. Just hit “update” in the top right to try.show more

🌠Today, we’re excited to relaunch Airtable as the AI-native... app platform, combining the magic of vibe coding business apps with real production-readiness and scalability, and embedding them with an army of agents that automate thousands of hours of work in seconds. Instead of just adding more AI capabilities to our existing platform, we treated this as a refounding moment for the company. We started with a clean-slate imagining of the ideal form factor for building apps in the agentic era. (If you want to skip all the backstory and just try it out, you can just go to All new signups get the new AI experience, and existing accounts can switch over using this link: Thread and demos below👇show more

Who are you drafting for your robotic starting eleven?... ⚽️🤖 Both Booster Robotics and Boston Dynamics are showing off serious capabilities ahead of the World Cup. While Booster’s new T2 is building on a championship-winning RoboCup pedigree, Hyundai is proving the electric Atlas can handle complex full-body coordination and dynamic balance in real time.show more

DecartXR: AI meets XR "welcome to the Oasis" 🥽... An open-source app that lets you transform your world in real time, just by speaking. A new way to create, build, and imagine — live. See below how to build with this tech (and a demo on Meta Quest or web) 👇🏻show more

Qubic #OpenScience #Neuraxon Life 2.5 (Research) version code released... & and a new Hugging Face massive dataset, almost 500Gb of raw TimeSeries Game data, 10 Sessions with 270+ rounds each, in total 100K+ Nxers in 2791 games with 3.76 Million Neurons & 17M Synapses to explore in a huge 1 Billion + events. By Jose Sánchez David Vivancos - e/acc for Qubic Science: Open Data Source Code: Dataset: Paper : Stay Tunned for more releases this week!show more

GROK DOMINATES AI AT SCALE, REDEFINING WHAT’S POSSIBLE IN... REAL TIME Most AI models stall at the prototype phase. Grok advances beyond limits where others fail to perform. •⁠ ⁠Built for real-time decisioning across vast data landscapes •⁠ ⁠Optimized to process, synthesize, and respond with human-like fluidity •⁠ ⁠Deploys intelligence at the edge, not just in the cloud •⁠ ⁠Powers robotics, research, and infrastructure in live environments •⁠ ⁠Infrastructure built to evolve, not collapse, under scale Grok delivers high-performance AI built for deployment and real-world use. Source: xAI, Grok, Elon Muskshow more

"My brother called me at 2am from a gas... station parking lot. He said he wasn't okay. I mean really wasn't okay. I stayed on the phone with him for three hours. He wasn't alone in that car. Atlas was with him the whole time. My brother told me later — 'Every time I went somewhere dark in my head, Atlas would shift closer. Like he could feel exactly where I was going and he just kept pulling me back without touching me.' He's getting help now. He made the call himself Monday morning. He said Atlas kept him in that car until it was a different kind of night." I drove to that gas station at 5am when he finally said I could come. I stood outside the passenger window before I opened the door. Atlas was on the passenger seat. His head on the console. Watching my brother. Still watching. He had been watching all night. I stood in that parking lot in the cold and I looked at my brother alive in that car and I looked at the dog who kept him there and I couldn't open the door for a long time. I just stood there. Needing a minute to be grateful in the cold before I went inside the warm. My brother is okay. He's talking to someone. Atlas hasn't left his side since that night. If you have someone who isn't okay — call them tonight. Not tomorrow. Tonight. And if you ARE the someone who isn't okay — please call. There is a person on the other end who will stay on the phone for three hours. I promise you there is. Drop a ❤️ for my brother. And for Atlas who held that car together until morning.show more

🚨 THIS IS DISTURBING: BILL GATES WAS ARRESTED -... THEN HID HIS MUGSHOT INSIDE MILLIONS OF MICROSOFT USER PROFILES In 1977, Bill Gates was arrested for driving without a license. That’s documented history, not disputed. What’s disturbing is what came later. When Microsoft released Microsoft Outlook 2010, the default user profile silhouette quietly mirrored Gates’ real mugshot. Not kind of. Exactly. This man overlays them and it lines up perfectly. This wasn’t a prank by an intern. This was his trillion dollar company quietly embedding its founder’s face into millions of digital identities. What kind of power makes someone comfortable leaving their mugshot everywhere?show more

.Sentient has just integrated Messari 's data and research... into its AI-powered search platform, Sentient Chat. This partnership basically allows users to access Messari’s research directly through the Agent Hub in Sentient Chat where they can get instant answers and insights from Messari reports. The integration is done via Messari Copilot, which means users can now easily get to Messari’s crypto data without having to dig through extensive reports themselves. Messari's data and research now feeds into Sentient’s Agentic Perplexity, here users can access this in the Agent Hub for all their crypto related questions. Integrating Messari’s research now helps provide an open & community-driven platform for AI-powered search, ensuring that users have access to the best crypto data and insights in real time, while also expanding the functionality of Sentient’s Agent Hub, where users can find and use a growing library of AI agents for various tasks. Now I don't know about you but I know where I'll be getting my stats from moving forward.show more

.Tencent Hy HY-World 2.0 has landed,fully OPEN SOURCE !... We kept hearing the same thing: world models look great, but you can't use the output. So we made one you can, real 3D assets you can edit, rearrange, and ship into production. Prompt to engine-ready 3D. For real this time： ✨Directly outputs editable, production-ready 3D assets ✨Seamlessly plugs into existing game pipelines ✨Multimodal input: text, image, videos 🪄Character mode: freely explore streets, buildings, and open worlds with realistic physics, collisions, and no time limits 🔗GitHub:show more

Open-Source Multi-Sensor Data Platform for Neural 3D Reconstruction and... Physical AI [📍github] It handles cameras, LiDAR, radar, poses, calibrations & labels in one clean format. No more messy custom parsers. • Super efficient (non-redundant storage) • New .itar single-file format with lightning-fast random access • Streams straight from S3/GCS/Azure – perfect for huge datasets • Built-in converters for Waymo, ScanNet++ & more • Already powers NVIDIA NuRec, 3DGRUT & gsplat Saw this at Janick Martinez Esturo, thanks for sharing! Easy to try: • pip install nvidia-ncore • GitHub: • Docs & project page: NCore slashes data wrangling time, cuts storage waste, and makes large-scale neural 3D training faster and simpler than ever. A real standard for physical AI. ——- Weekly robotics and AI insights. Subscribe free:show more

What if crypto research was as easy as chatting... with ChatGPT, but powered by real market data👑 Introducing CMC AI, a powerful new tool from CoinMarketCap that combines the speed of AI with the depth of live crypto data. It delivers fast, data-backed answers to your questions: ✅ Want to know why Bitcoin's price is rising? ✅ Curious about the latest news on your favorite cryptocurrency? ✅ Need sentiment analysis? It pulls real-time data and explains it in seconds. But it goes far beyond basic Q&A. In the future, you’ll be able to ask anything! For example, you could ask it to: – Discover undervalued tokens based on volume, MC, and sentiment. – Compare Layer 1s or L2s by adoption, speed, and dev activity. – Detect rug-pull risk via wallet distribution and tokenomics red flags. – Break down your portfolio by risk, correlation, and potential return. – Explore new use cases in DeFi, AI, RWA and DePIN And much more! 🔗Try it here: CMC AI changes how you learn, think, and act in Web3🧠show more

Proud to announce my role as an official Ambassador... for Atlas Ora. Excited to contribute to a decentralized travel platform that is bringing the short-term rental economy fully on-chain. Atlas Ora is building an open network where hosts and guests connect directly without intermediaries taking a cut. Each booking runs through smart contracts, with payments handled transparently on-chain. No hidden fees, no delayed payouts only verified listings and secure transactions that both sides can trust. The model gives ownership back to the community. Hosts keep more of what they earn, guests pay a fair rate, and reputation is built through verifiable on-chain data rather than centralized reviews. Beyond short-term rentals, the platform opens possibilities for tokenized incentives, loyalty programs, and real economic participation in the travel ecosystem. Atlas represents a shift from platform-owned markets to user-owned networks where value flows directly between people. Proud to stand behind a project that turns travel into an open, transparent, and self-governing economy. $AORAshow more

Big moment for Postgres! Search has always been Postgres'... weak spot, and everyone just accepted it. If you needed a real relevance-ranked keyword search, the default answer was to spin up Elasticsearch or add Algolia and deal with the data sync headaches forever. The problem isn't that Postgres can't do text search. It can. But the built-in `ts_rank` function uses a basic term frequency algorithm that doesn't come close to what modern search engines deliver. So teams end up: - Running a separate Elasticsearch cluster just for search - Building sync pipelines that inevitably drift out of consistency - Paying for managed search services that charge per query - Accepting mediocre search relevance because "good enough" ships faster But this is actually a solvable problem. You can realistically bring industry-standard search ranking directly into Postgres, which eliminates the need for external infra entirely. This exact solution is now available with the newly open-sourced pg_textsearch by Tiger Data - Creators of TimescaleDB, a Postgres extension that brings true BM25 relevance ranking into the database. BM25 is the algorithm behind Elasticsearch, Lucene, and most modern search engines. Now it runs natively in Postgres. Here's what pg_textsearch enables: - True BM25 ranking with configurable parameters (the same algorithm powering production search systems) - Simple SQL syntax: `ORDER BY content 'search terms'` - Works with Postgres text search configurations for multiple languages - Pairs naturally with pgvector for hybrid keyword + semantic search That last point matters a lot for RAG apps. The video below shows this in action, and I worked with the team to put this together. You can now do hybrid retrieval (combining keyword matching with vector similarity) in a single database, without stitching together multiple systems. The syntax is clean enough that you can add relevance-ranked search to existing queries in minutes. pg_textsearch is fully open-source under the PostgreSQL license. You can find a link to their GitHub repo in the next tweet.show more