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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... show more

Andrew Hiesinger

60,750 subscribers

12,937 次观看 • 7 个月前 •via X (Twitter)

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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!

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!

Santiago

171,340 次观看 • 1 年前

Introducing: Dashboard Builder! The latest addition to Blockworks Research that allows full control over how you view and use our data. Even the best data loses its edge when scattered. We're here to solve that.

Introducing: Dashboard Builder! The latest addition to Blockworks Research that allows full control over how you view and use our data. Even the best data loses its edge when scattered. We're here to solve that.

Blockworks Research

32,873 次观看 • 1 年前

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?

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?

Robert Scoble

33,804 次观看 • 1 年前

Although #Frostpunk 2 plays out on a much larger scale, we still want to give you an opportunity to get close to your citizens as much as possible. That’s why we are adding something we like to call Zoom Stories, which are zoom-ins available in specific city parts that allow you to watch the day-to-day life of your citizens. Stay tuned for more behind-the-scenes updates on how our new in-game additions are coming to life! 📷

Although #Frostpunk 2 plays out on a much larger scale, we still want to give you an opportunity to get close to your citizens as much as possible. That’s why we are adding something we like to call Zoom Stories, which are zoom-ins available in specific city parts that allow you to watch the day-to-day life of your citizens. Stay tuned for more behind-the-scenes updates on how our new in-game additions are coming to life! 📷

Frostpunk 2 | MODDING CONTEST LIVE

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An interesting issue with Tesla 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?

An interesting issue with Tesla 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?

Joe Tegtmeyer 🚀 🤠🛸😎

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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.

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.

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one of the most annoying thing of reviewing projects through etherscan is when contracts import other contracts just to use them as an interface, and etherscan gives you the full code as if any of it is actually relevant, misleading you worry not, we have a fix 👇

one of the most annoying thing of reviewing projects through etherscan is when contracts import other contracts just to use them as an interface, and etherscan gives you the full code as if any of it is actually relevant, misleading you worry not, we have a fix 👇

donnoh.eth 💗

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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 🧵👇

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JOSSGAWIN NEW VOYAGE #ReadyForJGConcert 🐻: cause gawin just said that… 🐻: like he just said it today that… 🐻: “is it okay if we do musical?” 🐻: “like lalaland something like that” 🎙️: ouhhh that’s interesting 🐻: in which we need to go see which song that we can do it with and also how to tell the story… 🐻: to make it not away with the theme too much

JOSSGAWIN NEW VOYAGE #ReadyForJGConcert 🐻: cause gawin just said that… 🐻: like he just said it today that… 🐻: “is it okay if we do musical?” 🐻: “like lalaland something like that” 🎙️: ouhhh that’s interesting 🐻: in which we need to go see which song that we can do it with and also how to tell the story… 🐻: to make it not away with the theme too much

bbrie 🥑

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ICT Min Mavetera says govt was told by the President to reduce levies and taxes in the ICT sector, and according to her, “we have done that.” Now we wonder. Which levies were reduced? By how much? When will we feel it? She said this on Day One of the Evolve ICT Summit today

Techzim

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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 :)

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 :)

Andy Jassy

102,869 次观看 • 1 年前

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!

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!

AEW Heels

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"which autograph stuck with you the most?" 🆑️: the ones that make me the happiest is when it's for kids and you can really see that you're making a difference for the kid that you're signing and how much it means to them, that's very special all the time charles 🥹🥹

"which autograph stuck with you the most?" 🆑️: the ones that make me the happiest is when it's for kids and you can really see that you're making a difference for the kid that you're signing and how much it means to them, that's very special all the time charles 🥹🥹

clara

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Built an AI workflow that breaks down any skill into a 90 day study regimen that spits out the best books and YouTube videos so you can learn fast and for free (you can return to the chat to ask questions when you need help)

Built an AI workflow that breaks down any skill into a 90 day study regimen that spits out the best books and YouTube videos so you can learn fast and for free (you can return to the chat to ask questions when you need help)

DAN KOE

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Charlie Deets

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Dialed in: The Mars Relay Network (MRN) is an international constellation of five spacecraft orbiting the Red Planet that send precious science data from the rovers back to Earth. You can track which spacecraft are transmitting in real time at

Dialed in: The Mars Relay Network (MRN) is an international constellation of five spacecraft orbiting the Red Planet that send precious science data from the rovers back to Earth. You can track which spacecraft are transmitting in real time at

NASA Mars

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Oh Amorim, what a day it would have been. We wanted to share this experience with you in the red colors, and you wanted to accomplish that with the club you so much love Manchester United. That day was coming , you felt it , we felt it . We were getting that close. You wanted to see us happy once again after so many years by winning us the league. It really hurts that me and a 1000 others did not get the chance to share this emotion with you. Maybe in the future we shall meet one more time and enjoy success together , when the leeches had left.

Oh Amorim, what a day it would have been. We wanted to share this experience with you in the red colors, and you wanted to accomplish that with the club you so much love Manchester United. That day was coming , you felt it , we felt it . We were getting that close. You wanted to see us happy once again after so many years by winning us the league. It really hurts that me and a 1000 others did not get the chance to share this emotion with you. Maybe in the future we shall meet one more time and enjoy success together , when the leeches had left.

Emmet

392,872 次观看 • 5 个月前

Stormwind was the first city we ever built. Our lead programmer had it load and play the song "We built this city" to our surprise when we first loaded in. The first version of Stormwind had no districts or canals. The framerate was below terrible. Then I thought of Venice. I grabbed a map of the city and slapped it down on the table the next morning. THIS, I said, is how we'll partition the city, drawing only the district you can see, separated by canals. It worked, and Stormwind was born.

Stormwind was the first city we ever built. Our lead programmer had it load and play the song "We built this city" to our surprise when we first loaded in. The first version of Stormwind had no districts or canals. The framerate was below terrible. Then I thought of Venice. I grabbed a map of the city and slapped it down on the table the next morning. THIS, I said, is how we'll partition the city, drawing only the district you can see, separated by canals. It worked, and Stormwind was born.

Grummz

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Every day and every night. In homes and in hospices. We give everything for those reaching the end of their lives. 💛 From the time you find out you’re dying, until your very last moments, we listen to what matters to you. Whatever the illness, we're with you to the end.

Every day and every night. In homes and in hospices. We give everything for those reaching the end of their lives. 💛 From the time you find out you’re dying, until your very last moments, we listen to what matters to you. Whatever the illness, we're with you to the end.

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