We just released an update to the Interval Map... Quant Data. ATM contracts can create huge end-of-day bubbles that drown out everything else. We fixed that by scaling bubble sizes only to what’s in view, which keeps the chart clean and readable when reviewing historical data. The zoom slider lets you scroll back through the session to see how exposure built or faded over time, making it much easier to study intraday shifts.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

It's 2030 and you are reviewing humanoid robots. A... Tesla. A Google. An Apple. An OpenAI. A Meta. A Figure. And a bunch of Chinese-made ones. Which one is best, and why? I think the Tesla understands the world much better. Why? There were eight Teslas around me on the freeway today. Start there. No other robot company has that data. But my robot is parked at the local high school twice a day. Its cameras see humans in all of our weirdness. How we move. Where we go. Where we walk. Who we talk with. What you are wearing. Whether your hair was combed this morning. That data will lead to robotics breakthroughs. Apple might keep up with its Vision Pro data, but it is too freaked out by the privacy implications of using said data. (On the front are six cameras and a couple of TOF -- Time Of Flight -- sensors that can see everything in your home in great detail). Google has a lot of data, for sure. All my: 1. Email. 2. Calendars. 3. Photos. 4. TV watching behavior. 5. Contacts. 6. Documents and spreadsheets. 7. Files. 8. Location data. So I expect Google's robot will be attractive to many. But how do you see the others shake out over the next five years? Make some guesses. But remember what an AI pioneer told me years ago about AI: it's all about the data. The Chinese ones have huge advantages: the Chinese have more data on their citizens, and many more citizens to boot AND they can make robots cheaper than we can. But now that you know OpenAI is building its own robot you have caught wind of what I've heard from many in San Francisco and Silicon Valley: that humanoid robots are the real prize of AI and will be highly profitable for those that can make them and find customers willing to buy them. Here, too, I learned long ago never to bet against Elon Musk. Will you?show more

Synthetic rewrites are now standard to improve data quality... and when data is limited. But how much compute should you spend rewriting? And can a model trained on rewrites beat the rewriting model? We fit scaling laws to answer both: 1/🧵show more

Google Earth now lets you create AI images using... real-world locations. With the new Nano Banana AI feature, you can pick any place in Google Earth, click “Create Image,” and describe what you want to see. The AI can turn that location into a historical scene, a futuristic city or a fantasy world The feature uses Google Earth’s satellite and 3D map data as the base, so the AI-generated images are built from real locations.show more

I don't think Claude dashboards are meant for just... making the traditional pretty dashboard/report. You can do that, but I think it's not where the value is. I see Claude dashboards more like a data agent that can really leverage visuals to explain complex data concepts and help you think about and use the data. I think it's the first tool I've used that can do this well, while also hiding the unnecessary "making of the code sausage" from business users and analysts, yet still making queries transparent. I almost wonder if it would've been better to call this Claude Data Analysis or Claude Data Agent so it doesn't carry the baggage of reporting/dashboarding before the AI era that kinda holds it back.show more

An interesting issue with Robotaxi where it took us... to a Starbucks, but the Google data had the incorrect location. At drop off we were 0.2 miles from the Starbucks, so we had a short walk. Is there a way the Tesla AI team could add functionality in the app so riders can update map info to correct errors or inaccuracies on the underlying map data and then this propagates to the fleet? Being able to do this with a pin drop on the map instead of having to use an address might make this very easy and user friendly! Or, as a bigger ask, would it be possible for the car to be able to use visual images on its own to look for a Starbucks sign and on the fly, get us closer and update the map data on its own?show more

We run the number one Lovable agency in the... world. After scaling to over $250k/month, I'm sharing exactly how we got there. This includes: - The one offer structure that makes sales effortless - How to pick a niche that actually pays premium rates - The ICP framework that filters out tire-kickers - Why systems beat talent every single time & everything else we did. Follow + comment "agency" and I'll DM it over. Follow me on YT if you want all my content early.show more

Just landed: /diff is now a persistent pane that... you can scroll and click. It updates in real-time. For the times when you want to see the code without having to switch windows. Enjoy!show more

Remember when we as football fans had to rely... solely on paper draft guides, sports radio rumors, and gut feelings to predict draft day decisions? Excited that fans now have access to the NFL's Draft IQ powered by Amazon Web Services ( – the most sophisticated tool yet for following the NFL draft and your favorite team's strategy. Draft IQ is built on Amazon QuickSight, our cloud business intelligence service that makes it easy to analyze and visualize massive amounts of data. QuickSight processes real-time data to give fans unprecedented insight into team decision-making, updating the entire draft landscape every five minutes. You can explore team needs, draft capital, and front office tendencies through personalized team dashboards, plus get AWS-powered machine learning predictions about potential trades and picks. During draft week, fans can track picks, prospects, and Next Gen Stats in real-time. We're also introducing Amazon Q Business integration, our generative AI-powered assistant. Q Business leverages large language models to understand and respond to natural language queries, allowing fans to ask detailed questions about draft prospects, team strategies, and historical draft data. It can provide AI-generated insights based on the same historical Next Gen Stats research data that powers Draft IQ, giving fans a new way to engage with the draft experience (check out the example below). Can't wait to see what stories the data tells us as teams make their selections and excited to dig into the Giants' data myself :)show more

we hacked ledger. the OneKey Anzen team has successfully... reproduced a transaction replacement attack against ledger ethereum app 1.22.1 in our lab. the bug is a race condition between the transaction display logic and the underlying transaction buffer. an attacker can overwrite the transaction waiting to be signed while the user is still reviewing a legitimate one. in simple terms: - you see transaction a on your ledger. - you approve transaction a. - your ledger can end up signing transaction b. - and you never see transaction b. to reproduce this, we built the 1.22.1 ELF ourselves, fixed the speculos reset 502 issue, and got the full attack flow working end to end. ledger fixed this in ethereum app 1.22.3. if you’re still on an older version, update it.show more

We’re excited to share the OVER roadmap for 2026.... The roadmap is focused on one core objective: scaling a machine-readable, world-scale 3D map of the physical world. Everything we’re building in 2026 ties back to this 🧵👇show more

Memory in AI Agent Harness. LLMs are stateless, so... every bit of memory in an AI agent is something the harness saves to disk and loads back in when it needs it. most good agent harnesses split that memory into a few layers, let's look at each one of them: • context: what the model can see in the current session. when it gets close to full, the harness summarizes the older messages to make room. • notes: a progress file the agent keeps updating while it works, so if a session ends halfway the next one can read it and continue from there. • semantic: facts about you, your team and your project, like your preferences or which repo you work in. Hermes keeps these in MEMORY.md and USER.md. • procedural: how to do a specific job. when the agent figures out something hard, it writes it down as a skill and uses that skill the next time. • episodic: a log of every past session that the agent can search when it needs to remember what happened before. First two only last as long as the session or the task. Other three are persistent, so they're still there the next time you start the agent. save this for the next time someone asks how agents remember. follow Shubham Saboo for more on Agent Harness.show more

Thanks to everyone who came out to #AEWKaraoke! What... a crazy whirlwind of an evening! And thanks to all our All Elite Wrestling stars that sang! We were running around like crazy so we only snapped a few videos. Time to scroll through the timeline and relive the memories!show more

I used the color data I already had on... this galaxy and stacked about 10 minutes worth of exposures to create this animation. You can see how close the supernova is to some nebulae in the arm… imagine the view from there!show more

I’d rather spend my time refining the idea than... figuring out complicated prompting techniques just to create a video. That’s what I like about Pexo: it lets you create and refine videos by describing what you want in natural language, making the editing process feel much more conversational. The chat-based editing is especially useful when you want to make specific changes, while Mark to Fix gives you more control over individual edits. If you already know how you want your video to look, Pexo makes it easier to focus on the creative direction instead of learning another complicated editing workflow.show more