Video yükleniyor...

Video Yüklenemedi

Bu video yüklenirken bir sorun oluştu. Bu geçici bir ağ sorunundan kaynaklanıyor olabilir veya video kullanılamıyor olabilir.

Ana Sayfaya Dön

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 görüntüleme • 9 ay önce •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

0 Yorum

Yorum bulunmuyor

Orijinal gönderinin yorumları burada görünecek

Benzer Videolar

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 görüntüleme • 1 yıl önce

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 görüntüleme • 1 yıl önce

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.

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.

Pirat_Nation 🔴

24,731 görüntüleme • 29 gün önce

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.

Jacob Klug

25,012 görüntüleme • 8 ay önce

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

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

11,726 görüntüleme • 2 ay önce

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

102,921 görüntüleme • 1 yıl önce

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.

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.

Yishi

1,312,658 görüntüleme • 2 gün önce

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

245,410 görüntüleme • 5 ay önce

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

392,884 görüntüleme • 7 ay önce

Sometimes at the end of a Magic Kingdom night we used to ride Pirates over and over as many times as we could until park close! We would just run out and right back in! When the kids were small we loved that! 🤣🤣 Have you ever done that with any particular ride?

Sometimes at the end of a Magic Kingdom night we used to ride Pirates over and over as many times as we could until park close! We would just run out and right back in! When the kids were small we loved that! 🤣🤣 Have you ever done that with any particular ride?

Disney Clips Guy

14,925 görüntüleme • 1 ay önce

NEED SUGGESTIONS for community, do drop in your suggestions😊 We are trying to improve the readability of articles. At present most of the blog DSA sites have lengthy articles which you read via scrolling. It looks daunting when you start with it. At TakeUforward, we are trying to change this, and help out users with an easier way to navigate and read. We want the logic to be something as you can see in the video.. the design is just a rough one, and is no where close to what we want it to be. The typical article will have problem statement, examples, followed by this sticky bar, which helps us to navigate, and ease out reading.. You can feel free to suggest more changes we can do, or some design recommendations. We can hire someone for this, but I will prefer recommendations from people who use it rather than someone who does not. RT for good Karma ♥️

NEED SUGGESTIONS for community, do drop in your suggestions😊 We are trying to improve the readability of articles. At present most of the blog DSA sites have lengthy articles which you read via scrolling. It looks daunting when you start with it. At TakeUforward, we are trying to change this, and help out users with an easier way to navigate and read. We want the logic to be something as you can see in the video.. the design is just a rough one, and is no where close to what we want it to be. The typical article will have problem statement, examples, followed by this sticky bar, which helps us to navigate, and ease out reading.. You can feel free to suggest more changes we can do, or some design recommendations. We can hire someone for this, but I will prefer recommendations from people who use it rather than someone who does not. RT for good Karma ♥️

Striver | Building takeUforward

13,937 görüntüleme • 3 yıl önce

AI has had exactly two scaling axes that worked so far, and the second one is starting to look finite too the first one was pretraining: with scaling parameters and data, we got world knowledge (i.e. ChatGPT had read enough to know things), but it started saturating a while ago the second one was RL, and people had been doing RL the whole time before that: RLHF is RL but it never scaled far because it was trying to control the exact output, which tokens come out, how the text reads, but you can only push that so far before you’re just polishing RLVR dropped that constraint: giving the model a task, then checking whether the final answer is right, and ignoring everything in between -- so the model does whatever it wants in the middle and only the endpoint gets graded, and that’s much closer to actual RL and it’s what bought us planning and reasoning (arguably, tool use sits around 2.5 on this list -- while useful, it's not a different kind of thing) so one axis gave knowledge, the other gave reasoning, and both of them are one model working alone the next axis is how many models you can get working on the same problem, which is a different kind of axis than the previous two we know that multi-agent RL has always been the harder problem: I spent years in that literature and the gap between single-agent and multi-agent is definitely not incremental -- it’s a whole different class of difficulty! which is also why the derivatives are steep at the start, nobody has picked the easy wins yet... and the thing that gates this multi-agent coordination is communication: models can only coordinate as well as they can exchange information, and right now they do that by writing sentences to each other imagine what could we possibly achieve if we properly open that third axis development by letting models to exchange information in their native "language" without loosing any computational data that they produce during inference

AI has had exactly two scaling axes that worked so far, and the second one is starting to look finite too the first one was pretraining: with scaling parameters and data, we got world knowledge (i.e. ChatGPT had read enough to know things), but it started saturating a while ago the second one was RL, and people had been doing RL the whole time before that: RLHF is RL but it never scaled far because it was trying to control the exact output, which tokens come out, how the text reads, but you can only push that so far before you’re just polishing RLVR dropped that constraint: giving the model a task, then checking whether the final answer is right, and ignoring everything in between -- so the model does whatever it wants in the middle and only the endpoint gets graded, and that’s much closer to actual RL and it’s what bought us planning and reasoning (arguably, tool use sits around 2.5 on this list -- while useful, it's not a different kind of thing) so one axis gave knowledge, the other gave reasoning, and both of them are one model working alone the next axis is how many models you can get working on the same problem, which is a different kind of axis than the previous two we know that multi-agent RL has always been the harder problem: I spent years in that literature and the gap between single-agent and multi-agent is definitely not incremental -- it’s a whole different class of difficulty! which is also why the derivatives are steep at the start, nobody has picked the easy wins yet... and the thing that gates this multi-agent coordination is communication: models can only coordinate as well as they can exchange information, and right now they do that by writing sentences to each other imagine what could we possibly achieve if we properly open that third axis development by letting models to exchange information in their native "language" without loosing any computational data that they produce during inference

Sasha Malysheva

11,548 görüntüleme • 18 gün önce

People we helped plan their first ever Disney visit (only one day - huge mistake) just got back and the fireworks and night time parade were cancelled on the only night they went to the park. They asked how they can get to see the fireworks and parade now...it was not fun explaining to them they could not. Then they started talking about the cost and how Disney needs to do something about that...☹️🙁😕

People we helped plan their first ever Disney visit (only one day - huge mistake) just got back and the fireworks and night time parade were cancelled on the only night they went to the park. They asked how they can get to see the fireworks and parade now...it was not fun explaining to them they could not. Then they started talking about the cost and how Disney needs to do something about that...☹️🙁😕

Disney Clips Guy

15,870 görüntüleme • 1 ay önce

Cinematic animation in Blender is my favourite thing to do. That moment when the camera moves, lights hit just right, particles float through the air, and music kicks in… nothing beats it. If you want to learn how to create this kind of animation in Blender, the full Cinematic Animation masterclasses (and everything else in the shop) are 50% OFF - 👉

Cinematic animation in Blender is my favourite thing to do. That moment when the camera moves, lights hit just right, particles float through the air, and music kicks in… nothing beats it. If you want to learn how to create this kind of animation in Blender, the full Cinematic Animation masterclasses (and everything else in the shop) are 50% OFF - 👉

SLAVO | c g s l a v

11,281 görüntüleme • 9 ay önce

I built Trickshot over the weekend, a tool that lets you rewatch your best plays. Trenching has always felt like a game, and pnl cards are just the leaderboard at the end of the match. But it doesn’t show the drawdowns you had to hold through or the euphoric green candles you TPed on. This is ۟'s house-making trade on solana:ApZuxdpzMrbEYTGEzeY9afh5pj9d6qPRJCTgQYiipbKg Built only with Helius. Check out some demo tokens I’ve indexed on the site:

I built Trickshot over the weekend, a tool that lets you rewatch your best plays. Trenching has always felt like a game, and pnl cards are just the leaderboard at the end of the match. But it doesn’t show the drawdowns you had to hold through or the euphoric green candles you TPed on. This is ۟'s house-making trade on solana:ApZuxdpzMrbEYTGEzeY9afh5pj9d6qPRJCTgQYiipbKg Built only with Helius. Check out some demo tokens I’ve indexed on the site:

Nathan

539,927 görüntüleme • 6 gün önce

The Dawn of a New Era on $SUI (9) Still in the festive spirit, let’s look at Tusky , Tusky is a storage service that's not controlled by one company. It uses something called WalrusProtocol to keep your data safe. Your data is encrypted from start to finish, so only you can see it. Instead of one place, your data goes to many different spots. This setup makes your data less likely to be lost or stolen. It helps keep your information safe and always available. Tusky gives you control over your files. You can easily manage them with the tools provided. You decide who gets to see your data. This makes it great for personal storage or working with others. It works with SuiNetwork for even more privacy. You can log in without sharing personal info, keeping everything more secure. This means only you can get to your data, with no third party involved. It is growing fast, with 100,000 uploads already. This indicates its increasing acceptance in the tech community focused on data sovereignty. It's good at managing lots of data safely. In tech, where you want to own your data, TuskyTools is popular. It gives users control over their information. This platform helps keep your data secure and gives you freedom.

The Dawn of a New Era on $SUI (9) Still in the festive spirit, let’s look at Tusky , Tusky is a storage service that's not controlled by one company. It uses something called WalrusProtocol to keep your data safe. Your data is encrypted from start to finish, so only you can see it. Instead of one place, your data goes to many different spots. This setup makes your data less likely to be lost or stolen. It helps keep your information safe and always available. Tusky gives you control over your files. You can easily manage them with the tools provided. You decide who gets to see your data. This makes it great for personal storage or working with others. It works with SuiNetwork for even more privacy. You can log in without sharing personal info, keeping everything more secure. This means only you can get to your data, with no third party involved. It is growing fast, with 100,000 uploads already. This indicates its increasing acceptance in the tech community focused on data sovereignty. It's good at managing lots of data safely. In tech, where you want to own your data, TuskyTools is popular. It gives users control over their information. This platform helps keep your data secure and gives you freedom.

Kaboom.sui🪖

19,698 görüntüleme • 1 yıl önce

You don’t need a ton of ads. You need a ton of DIVERSE ads. That’s why I’ve broken down the one format we rolled out across multiple accounts that keeps scaling when UGC dies down & fatigues: - Which system to create a high amount of POTENTIAL winners - How we’re planning 2026 for our clients with this in mind - The 5 elements that make this format a winner Want the link to the breakdown? Like + Comment: “FORMAT” and I’ll send it over. (Must be following)

You don’t need a ton of ads. You need a ton of DIVERSE ads. That’s why I’ve broken down the one format we rolled out across multiple accounts that keeps scaling when UGC dies down & fatigues: - Which system to create a high amount of POTENTIAL winners - How we’re planning 2026 for our clients with this in mind - The 5 elements that make this format a winner Want the link to the breakdown? Like + Comment: “FORMAT” and I’ll send it over. (Must be following)

Lorenzo | Meta Ads & Performance Creatives 📈

18,820 görüntüleme • 10 ay önce