Sensitive content

This media may contain sensitive content.

Загрузка видео...

Не удалось загрузить видео

На главную

Doll Evolution - Chapter 1!! Is Out Now!! 😍🐇Game Link: 📌#nsfw #AIArtCommuity #AIイラスト #Rule34 #Aiartowork big ass, big tits, bimbo, blonde, busty girls, PAWG, POV, sluts, Ai Porn, Animation,

SlootySlots's profile picture

Slooty Slots

5,514 subscribers

31,230 просмотров • 5 месяцев назад •via X (Twitter)

NSFW#nsfw#AIArtCommuity#AIイラスト#Rule34#Aiartowork
LIVE

Anya Rossi• Live Now

Private livecam show

Комментарии: 0

Нет доступных комментариев

Здесь появятся комментарии из оригинального поста

Похожие видео

China installed 400 GW of new power last year, over 350 gigawatts of solar and wind. The U.S.? Just 63. We talk a big game about leading on AI, chips, and reshoring manufacturing. But where’s the electricity going to come from? Some say natural gas can replace renewables. But the largest turbine manufacturer, GE Vernova, is already sold out until after Trump's term. Meanwhile: 📌 China = 400 GW 📌 U.S. = 60 GW 📌 GE Vernova's global gas turbine output = 20 GW… for the entire globe! If we gut clean energy incentives now, we don’t just fall behind, we're cooked. You can't grow your economy and run AI data centers on backorders and broken promises. We’re demanding more energy than ever. And we’re about to constrain the resources that are actually delivering it. Full Video:
1:38

China installed 400 GW of new power last year, over 350 gigawatts of solar and wind. The U.S.? Just 63. We talk a big game about leading on AI, chips, and reshoring manufacturing. But where’s the electricity going to come from? Some say natural gas can replace renewables. But the largest turbine manufacturer, GE Vernova, is already sold out until after Trump's term. Meanwhile: 📌 China = 400 GW 📌 U.S. = 60 GW 📌 GE Vernova's global gas turbine output = 20 GW… for the entire globe! If we gut clean energy incentives now, we don’t just fall behind, we're cooked. You can't grow your economy and run AI data centers on backorders and broken promises. We’re demanding more energy than ever. And we’re about to constrain the resources that are actually delivering it. Full Video:

Doug Lewin

75,462 просмотров • 1 год назад

[VIDEO] The Humane AI pin just launched for $699. Is this pin going to be the new Apple iPhone? Idk, but here are 3 big takeaways from the launch: 1. OpenAI/Microsoft will eventually become infra for all tech Hard to beat them at this rate, they will become AWS for AI 2. AI is gonna make apps (as we know them) a lot less important Screenless interfaces powered by AI will be connected to apps on the back end and bundled into a subscription service My Humane subscription will come with Tidal and I will rarely/never need to interface with tidal again Many consumer products will go from B2C -> B2B 3. Product design is going to look a lot different in 5-10 years Maybe unrecognizable. The bottom line is how we are interacting with these devices are changing. This week we had the GPT store. Agents are the new apps. Now we have AI pins. The palm of your hand is your new screen. Wild times. -- Follow me GREG ISENBERG for more takes on where the world is going. Link in bio for more insights. Email going out today on how to find proven startup ideas.
10:29

[VIDEO] The Humane AI pin just launched for $699. Is this pin going to be the new Apple iPhone? Idk, but here are 3 big takeaways from the launch: 1. OpenAI/Microsoft will eventually become infra for all tech Hard to beat them at this rate, they will become AWS for AI 2. AI is gonna make apps (as we know them) a lot less important Screenless interfaces powered by AI will be connected to apps on the back end and bundled into a subscription service My Humane subscription will come with Tidal and I will rarely/never need to interface with tidal again Many consumer products will go from B2C -> B2B 3. Product design is going to look a lot different in 5-10 years Maybe unrecognizable. The bottom line is how we are interacting with these devices are changing. This week we had the GPT store. Agents are the new apps. Now we have AI pins. The palm of your hand is your new screen. Wild times. -- Follow me GREG ISENBERG for more takes on where the world is going. Link in bio for more insights. Email going out today on how to find proven startup ideas.

GREG ISENBERG

2,310,769 просмотров • 2 лет назад

I don't think specialized vector databases will survive for much longer. They were a big thing for a while, but now, you have pro-grade databases like MongoDB offering native support for vector search. If you don't understand how vector search is an absolutely bonkers, mind-blowing invention, watch the attached video. Give me 4 minutes, and I promise you'll understand how vectors have completely changed the game. Honestly, MongoDB is cracked! They have become a one-stop shop for AI implementations in addition to its document and non-relational model. You'll find a link below to the source code of 7 examples of AI agents that use MongoDB: 1. A factory safety assistant agent 2. A research assistant agent 3. An investment researcher agent 4. A recommendation system agent using RAG 5. A human resources chatbot agent 6. An AWS Bedrock agent 7. An asset manager assistant agent Everything is on a GitHub repository. Link below.
4:12

I don't think specialized vector databases will survive for much longer. They were a big thing for a while, but now, you have pro-grade databases like MongoDB offering native support for vector search. If you don't understand how vector search is an absolutely bonkers, mind-blowing invention, watch the attached video. Give me 4 minutes, and I promise you'll understand how vectors have completely changed the game. Honestly, MongoDB is cracked! They have become a one-stop shop for AI implementations in addition to its document and non-relational model. You'll find a link below to the source code of 7 examples of AI agents that use MongoDB: 1. A factory safety assistant agent 2. A research assistant agent 3. An investment researcher agent 4. A recommendation system agent using RAG 5. A human resources chatbot agent 6. An AWS Bedrock agent 7. An asset manager assistant agent Everything is on a GitHub repository. Link below.

Santiago

60,065 просмотров • 1 год назад

Gavin Baker just spotted a massive contradiction inside the AI market. The valuations across the AI supply chain don't add up when you hold them side by side. - Memory names: trading at 3-5x PE. - Nvidia: trading at a very low PE. - Some accelerator companies: reasonable multiples. - Power and cooling names: discounting a much higher future. These multiples can't all be right at the same time. If power and cooling names are priced correctly, then Nvidia and memory are way too cheap. They're going up a lot from here. If Nvidia and memory are priced correctly, then power and cooling will significantly underperform from here. One side is wrong. Both can't be true. Baker's word for it: the AI market is "cross-sectionally inefficient" right now. For investors, the question isn't just "am I bullish on AI?" The real question is: which part of the stack is priced correctly and which part is priced for a scenario that isn't going to play out? Note: Baker runs Atreides Management, one of the most respected tech-focused growth funds in the world. He doesn't make calls like this lightly. When the best investors in tech spot a cross-sectional mismatch this size, the trade is figuring out which side wins. Our analysts are already positioning inside the AI supply chain. They called $AMD, $MU, $CRDO and $NBIS before the big runs. Follow their exact portfolios for $1 at Milk Road PRO, link in bio.
0:58

Gavin Baker just spotted a massive contradiction inside the AI market. The valuations across the AI supply chain don't add up when you hold them side by side. - Memory names: trading at 3-5x PE. - Nvidia: trading at a very low PE. - Some accelerator companies: reasonable multiples. - Power and cooling names: discounting a much higher future. These multiples can't all be right at the same time. If power and cooling names are priced correctly, then Nvidia and memory are way too cheap. They're going up a lot from here. If Nvidia and memory are priced correctly, then power and cooling will significantly underperform from here. One side is wrong. Both can't be true. Baker's word for it: the AI market is "cross-sectionally inefficient" right now. For investors, the question isn't just "am I bullish on AI?" The real question is: which part of the stack is priced correctly and which part is priced for a scenario that isn't going to play out? Note: Baker runs Atreides Management, one of the most respected tech-focused growth funds in the world. He doesn't make calls like this lightly. When the best investors in tech spot a cross-sectional mismatch this size, the trade is figuring out which side wins. Our analysts are already positioning inside the AI supply chain. They called $AMD, $MU, $CRDO and $NBIS before the big runs. Follow their exact portfolios for $1 at Milk Road PRO, link in bio.

Milk Road Macro

162,479 просмотров • 3 месяцев назад

Woot woot! THE BIG DAY IS HERE. Eddie AI v2! Download it: It’s been a sprint pace to cover a marathon distance. We launched Eddie AI v1 in October last year. Thousands of new users. Lots of feature requests. Learned a ton. (Yes, Paul Graham is right: ship early and often!) Eddie AI v2 releases three big advancements. And underpinning those decisions are the learnings baked in. 1. Eddie now runs locally on Macs and Windows. Our native apps are out of beta and available to everyone. Video is large. The video files used by video professionals are even larger. No one wants to wait around uploading. Native applications make it MUCH MUCH faster to import and thus much faster to get on with editing. One of the challenges with Eddie is how do we *quickly* get the user to aha – that moment where they can see the magic of this assistant AI video editor – if it takes awhile to upload files. These native applications are a big step towards getting to aha, swiftly, and help deliver on our promise to save customers time. 2. Analyze raw footage, aka logging interviews and B-rolls. Eddie v1 only created edits. But users were asking for a step before the edit too. They want their footage logged – what happened in this shot, who said what, etc – and grouped logically with this metadata back in their video editing application. We released a test of this a month ago. Users were blown away by the accuracy of the AI, the rich descriptions, and how the metadata seamlessly is sent to their video editing application where they can find the right shot when they need. We were blown away by the usage of this feature. Logging is now updated and released to all in v2. 3. Rough cut mode. This is the big dream: Eddie is the AI assistant video editor. There’s a lot of tedious work in video editing. Eddie takes it on. And helps you get to a great story faster. Sorting through hours of interviews and finding great soundbites that can be cut together to form a coherent story is a big step toward this dream. We attempted to do this in v1. But the prompt box was too open ended. People were typing in things like “Cut me a great story” and the subjectivity of the statement led to variable results. So we re-thought the story crafting process. We added friction. YES you read that correctly. We added friction into the product that slows the customer down. BUT they get much better results, reliably. And that trade-off is well worth it. Eddie now takes a step-by-step approach with you on crafting your story. It aligns with you on the story framework and then cuts chapter by chapter with your feedback. What used to take days, now takes minutes. We spent months hacking at LLMs to make them able to provide coherent edits over a longer duration and handle a large amount of source material (aka context-window problem). It’s ready for release. Version 2.0 is here. Download Eddie at
3:48

Woot woot! THE BIG DAY IS HERE. Eddie AI v2! Download it: It’s been a sprint pace to cover a marathon distance. We launched Eddie AI v1 in October last year. Thousands of new users. Lots of feature requests. Learned a ton. (Yes, Paul Graham is right: ship early and often!) Eddie AI v2 releases three big advancements. And underpinning those decisions are the learnings baked in. 1. Eddie now runs locally on Macs and Windows. Our native apps are out of beta and available to everyone. Video is large. The video files used by video professionals are even larger. No one wants to wait around uploading. Native applications make it MUCH MUCH faster to import and thus much faster to get on with editing. One of the challenges with Eddie is how do we *quickly* get the user to aha – that moment where they can see the magic of this assistant AI video editor – if it takes awhile to upload files. These native applications are a big step towards getting to aha, swiftly, and help deliver on our promise to save customers time. 2. Analyze raw footage, aka logging interviews and B-rolls. Eddie v1 only created edits. But users were asking for a step before the edit too. They want their footage logged – what happened in this shot, who said what, etc – and grouped logically with this metadata back in their video editing application. We released a test of this a month ago. Users were blown away by the accuracy of the AI, the rich descriptions, and how the metadata seamlessly is sent to their video editing application where they can find the right shot when they need. We were blown away by the usage of this feature. Logging is now updated and released to all in v2. 3. Rough cut mode. This is the big dream: Eddie is the AI assistant video editor. There’s a lot of tedious work in video editing. Eddie takes it on. And helps you get to a great story faster. Sorting through hours of interviews and finding great soundbites that can be cut together to form a coherent story is a big step toward this dream. We attempted to do this in v1. But the prompt box was too open ended. People were typing in things like “Cut me a great story” and the subjectivity of the statement led to variable results. So we re-thought the story crafting process. We added friction. YES you read that correctly. We added friction into the product that slows the customer down. BUT they get much better results, reliably. And that trade-off is well worth it. Eddie now takes a step-by-step approach with you on crafting your story. It aligns with you on the story framework and then cuts chapter by chapter with your feedback. What used to take days, now takes minutes. We spent months hacking at LLMs to make them able to provide coherent edits over a longer duration and handle a large amount of source material (aka context-window problem). It’s ready for release. Version 2.0 is here. Download Eddie at

Shamir Allibhai

57,672 просмотров • 1 год назад

Goldman Sachs CEO David Solomon believes that money being spent on AI right now will NOT produce great returns. The question: with companies at $5 trillion market caps, don't you see a bubble? His exact words: "A lot of the capital being deployed will not produce adequate returns. And a bunch of the capital being deployed will actually not produce any returns." But then the key line: "It's hard to call the timing on these things." This is the Solomon framework: acknowledge the froth, don't pretend every dollar deployed will be productive but don't try to pick the peak. We've seen this pattern before throughout history. Rapid tech acceleration creates intense capital formation. New companies race to capitalize. Some win. Most lose. The opportunity set with AI is enormous. It won't be a straight line. Solomon isn't telling you to sell. He's telling you that the job right now is to figure out which companies are the real winners before the market does. Because by the time it's obvious, the multiple is already in the price. This is exactly what separates the Milk Road PRO analysts from the crowd. They don't wait for the consensus. They called $AMD, $MU, $CRDO and $NBIS months before the big moves. Follow their exact portfolios for $1. Don't navigate this AI cycle alone, link in bio.
0:51

Goldman Sachs CEO David Solomon believes that money being spent on AI right now will NOT produce great returns. The question: with companies at $5 trillion market caps, don't you see a bubble? His exact words: "A lot of the capital being deployed will not produce adequate returns. And a bunch of the capital being deployed will actually not produce any returns." But then the key line: "It's hard to call the timing on these things." This is the Solomon framework: acknowledge the froth, don't pretend every dollar deployed will be productive but don't try to pick the peak. We've seen this pattern before throughout history. Rapid tech acceleration creates intense capital formation. New companies race to capitalize. Some win. Most lose. The opportunity set with AI is enormous. It won't be a straight line. Solomon isn't telling you to sell. He's telling you that the job right now is to figure out which companies are the real winners before the market does. Because by the time it's obvious, the multiple is already in the price. This is exactly what separates the Milk Road PRO analysts from the crowd. They don't wait for the consensus. They called $AMD, $MU, $CRDO and $NBIS months before the big moves. Follow their exact portfolios for $1. Don't navigate this AI cycle alone, link in bio.

Milk Road Macro

73,809 просмотров • 2 месяцев назад

In this post I will explain why people become borderline religious when they discover Qubic. Now with video. Please repost. I want people to learn about QUBIC. The ecosystem consists of 3 separate universes: AI, Mining, and Tickchain. AI is the primary product and purpose of QUBIC and it is supported by Mining to train the AI and by Tickchin for validation and decentralization. Here is how this whole thing works: AI: Let’s start with the AI. The main purpose of QUBIC is creating AGI (Artificial General Intelligence). It’s a type of AI that can self-develop, set tasks, grow, and learn on its own—much like the human brain does. This product is called AIGarth and it uses many cool ideas where AIs can create their own agents and have them compete against one another to evolve. It is basically robots creating robots with the survival-of-the-fittest evolution approach. Very impressive and thought out. To develop such an AI there are several requirements that even the industry giants like OpenAI, Microsoft, and Tesla are missing. One of them is the data processing for AI training. I mean they have their Datacenters, but those are only good enough to train limited Large Language Models such as ChatGPT and Grok. Mining / Training: Now QUBIC solves this problem with its mining architecture. Keep in mind, mining in QUBIC does not secure the chain, primarily it provides the processing power for training the AI. In a sense, QUBIC mining creates the largest distributed datacenter in the world, where individual miners provide their computers for training the AI and get paid with newly issued QUBIC coins. This way QUBIC gets constantly increasing processing power without having to really pay for the infrastructure. And here is another impressive bit of info. QUBIC’s distributed mining network currently ranks above the #1 supercomputer in the world - El Capitan. QUBIC Tickchain The QUBIC chain ties its AI and Mining together to create decentralization, the reward system for miners, it acts as a decision voting system for future development, and it allows AIGarth to function independently through Smart Contracts. In this summary I will not go over the specifics of QUBIC Tickchain. It’s pretty complex so it will be a separate post. Now, it’s an absolute genius piece of tech, which I consider the most advanced product within crypto industry. It is important to know that QUBIC chain runs directly out of Random Access Memory of its validators. It has instant finality and acts as its own operating system. That allows for speeds only bound by current hardware capabilities and it only increases as technology progresses. As I am writing this, QUBIC Tickchain is fully functional and it already hosts several smart-contract based web3 applications. QUBIC has designed its chain to be this fast for a single purpose, to give its future AI the speed it needs to evolve and to react quickly to the outside world. Ilya Shutskever the scientist, who developed ChatGPT clearly states that next generation superintelligence will make decisions in split second with less data. I believe QUBIC is that next generation. Why QUBIC? So out of the sea of AI projects in crypto why is QUBIC my #1 pick? Well, the first reason is that QUBIC is a unicorn AI startup that happens to use blockchain tech to reach it’s goals. In the real world of Venture Capital it would be fully funded instantly and you would not be invited. Second reason is that the industry admits that Large Language Models have plateaued. Even with enough processing power there is only so much information they can add to their data. Even Google CEO admits that. New approach is needed because the future progress is not possible with LLMs. The third reason is because Large Language Models will not create true AGI. It is evident by Ilya Shutskver latest presentation. Sam Altman of OpenAI is trying to change the definition of what is considered AGI just to lower the plank for his own product. Microsoft’s AI chief is now claiming that it would take 10 years to reach AGI, while QUBIC aims to do this in 2027. All these big players are using wrong technology for what they are trying to achieve and there isn’t enough investor funding for them to pivot. The fourth reason is that QUBIC is headed by Sergey Ivancheglo and 2 renowned AI scientists. Many claim Segey is the creator of Bitcoin. He was the 3rd person to mine bitcoin, he invented Proof of Stake consensus, which Ethereum uses now, he ran the first ICO, and he created 2 of the top gainers in crypto NXT and IOTA. QUBIC is his grand finale after 12 years of development and trials. I am including links below the post as the proof of my claims. Thank you for your time. Please live a like or a comment. It helps me continue making these extensive posts and videos.
5:57

In this post I will explain why people become borderline religious when they discover Qubic. Now with video. Please repost. I want people to learn about QUBIC. The ecosystem consists of 3 separate universes: AI, Mining, and Tickchain. AI is the primary product and purpose of QUBIC and it is supported by Mining to train the AI and by Tickchin for validation and decentralization. Here is how this whole thing works: AI: Let’s start with the AI. The main purpose of QUBIC is creating AGI (Artificial General Intelligence). It’s a type of AI that can self-develop, set tasks, grow, and learn on its own—much like the human brain does. This product is called AIGarth and it uses many cool ideas where AIs can create their own agents and have them compete against one another to evolve. It is basically robots creating robots with the survival-of-the-fittest evolution approach. Very impressive and thought out. To develop such an AI there are several requirements that even the industry giants like OpenAI, Microsoft, and Tesla are missing. One of them is the data processing for AI training. I mean they have their Datacenters, but those are only good enough to train limited Large Language Models such as ChatGPT and Grok. Mining / Training: Now QUBIC solves this problem with its mining architecture. Keep in mind, mining in QUBIC does not secure the chain, primarily it provides the processing power for training the AI. In a sense, QUBIC mining creates the largest distributed datacenter in the world, where individual miners provide their computers for training the AI and get paid with newly issued QUBIC coins. This way QUBIC gets constantly increasing processing power without having to really pay for the infrastructure. And here is another impressive bit of info. QUBIC’s distributed mining network currently ranks above the #1 supercomputer in the world - El Capitan. QUBIC Tickchain The QUBIC chain ties its AI and Mining together to create decentralization, the reward system for miners, it acts as a decision voting system for future development, and it allows AIGarth to function independently through Smart Contracts. In this summary I will not go over the specifics of QUBIC Tickchain. It’s pretty complex so it will be a separate post. Now, it’s an absolute genius piece of tech, which I consider the most advanced product within crypto industry. It is important to know that QUBIC chain runs directly out of Random Access Memory of its validators. It has instant finality and acts as its own operating system. That allows for speeds only bound by current hardware capabilities and it only increases as technology progresses. As I am writing this, QUBIC Tickchain is fully functional and it already hosts several smart-contract based web3 applications. QUBIC has designed its chain to be this fast for a single purpose, to give its future AI the speed it needs to evolve and to react quickly to the outside world. Ilya Shutskever the scientist, who developed ChatGPT clearly states that next generation superintelligence will make decisions in split second with less data. I believe QUBIC is that next generation. Why QUBIC? So out of the sea of AI projects in crypto why is QUBIC my #1 pick? Well, the first reason is that QUBIC is a unicorn AI startup that happens to use blockchain tech to reach it’s goals. In the real world of Venture Capital it would be fully funded instantly and you would not be invited. Second reason is that the industry admits that Large Language Models have plateaued. Even with enough processing power there is only so much information they can add to their data. Even Google CEO admits that. New approach is needed because the future progress is not possible with LLMs. The third reason is because Large Language Models will not create true AGI. It is evident by Ilya Shutskver latest presentation. Sam Altman of OpenAI is trying to change the definition of what is considered AGI just to lower the plank for his own product. Microsoft’s AI chief is now claiming that it would take 10 years to reach AGI, while QUBIC aims to do this in 2027. All these big players are using wrong technology for what they are trying to achieve and there isn’t enough investor funding for them to pivot. The fourth reason is that QUBIC is headed by Sergey Ivancheglo and 2 renowned AI scientists. Many claim Segey is the creator of Bitcoin. He was the 3rd person to mine bitcoin, he invented Proof of Stake consensus, which Ethereum uses now, he ran the first ICO, and he created 2 of the top gainers in crypto NXT and IOTA. QUBIC is his grand finale after 12 years of development and trials. I am including links below the post as the proof of my claims. Thank you for your time. Please live a like or a comment. It helps me continue making these extensive posts and videos.

retrodrive ⛏

24,757 просмотров • 1 год назад

E168: Bybit - The CEO Who Went on a Podcast 3 Days After a $1.5B Hack and Made it all Back in 8 Months Ben Zhou, the co-founder and CEO of Bybit, reveals how he led the company back from the biggest crypto theft in history - filling the $1.5 billion hole in just 8 months while still paying bonuses and dividends. In this episode, Ben shares the untold story of the recovery, Bybit's growth to 85 million users, and his vision to merge banks, brokers, and exchanges into crypto's next financial super-app. Timestamps: 0:00 Introduction 1:39 Please Subscribe 2:04 Why Ben Is Meeting With Prime Ministers 5:52 Partnerships: Jupiter KAST 6:32 The Most Fun Part About Building In Crypto 8:16 Why Ben Would Go On A Podcast 3 Days After Losing $1.5B 11:00 How Does ByBit Use AI To Run Their Business 16:22 When Did Ben Realize AI Was Game Changing For The Business 17:47 How Do You Measure A $150 Million F1 Sponsorship Deal 21:47 Why Did ByBit Sponsor The Stockholm Opens 23:07 Why Ben Is So Hands On With ByBit Decisions 25:33 Partnerships: Ethena Sumsub 26:35 The Most Surprising Thing Ben Learned From The ByBit Hack 28:06 How Do You Deal With An Outside Party When Big Issues Happen 30:20 Ben’s Message To Anyone Dealing With A Big Crisis 32:51 How Ben Managed The Negative Spotlight 36:51 How Big Is ByBit Today In Terms Of Key Numbers 37:38 How Do You Take ByBit To The Next Level 39:09 What’s The Endgame For ByBit 40:03 What Is Byreal 42:34 Does Ben See A World Where DEXes Takeover CEXes 43:13 What Is ByBit Doing With Ethena 45:06 Ben’s Thoughts About The Ethena Partnership 46:05 Ben’s Opinions On Hyperliquid As A Competitor 49:34 Partnerships: Trezor Bitwise Sui 50:30 What’s ByBit Doing To Prepare For An AI Driven World 53:56 The Evolution Of Crypto vs AI 56:57 What Makes Ben Happy 57:21 Does Ben Feel Happier Now That He’s Rich 58:30 One Thing Ben Is Holding Onto That He Should Let Go Of 59:04 What Ben Does With His Money 1:00:14 What Does The Voice In Ben's Head Tell Him 1:02:58 One Thing Ben’s Learned That You Can Takeaway Today 1:04:11 Who Is Ben Zhou 1:06:20 Closing Thoughts
1:07:49

E168: Bybit - The CEO Who Went on a Podcast 3 Days After a $1.5B Hack and Made it all Back in 8 Months Ben Zhou, the co-founder and CEO of Bybit, reveals how he led the company back from the biggest crypto theft in history - filling the $1.5 billion hole in just 8 months while still paying bonuses and dividends. In this episode, Ben shares the untold story of the recovery, Bybit's growth to 85 million users, and his vision to merge banks, brokers, and exchanges into crypto's next financial super-app. Timestamps: 0:00 Introduction 1:39 Please Subscribe 2:04 Why Ben Is Meeting With Prime Ministers 5:52 Partnerships: Jupiter KAST 6:32 The Most Fun Part About Building In Crypto 8:16 Why Ben Would Go On A Podcast 3 Days After Losing $1.5B 11:00 How Does ByBit Use AI To Run Their Business 16:22 When Did Ben Realize AI Was Game Changing For The Business 17:47 How Do You Measure A $150 Million F1 Sponsorship Deal 21:47 Why Did ByBit Sponsor The Stockholm Opens 23:07 Why Ben Is So Hands On With ByBit Decisions 25:33 Partnerships: Ethena Sumsub 26:35 The Most Surprising Thing Ben Learned From The ByBit Hack 28:06 How Do You Deal With An Outside Party When Big Issues Happen 30:20 Ben’s Message To Anyone Dealing With A Big Crisis 32:51 How Ben Managed The Negative Spotlight 36:51 How Big Is ByBit Today In Terms Of Key Numbers 37:38 How Do You Take ByBit To The Next Level 39:09 What’s The Endgame For ByBit 40:03 What Is Byreal 42:34 Does Ben See A World Where DEXes Takeover CEXes 43:13 What Is ByBit Doing With Ethena 45:06 Ben’s Thoughts About The Ethena Partnership 46:05 Ben’s Opinions On Hyperliquid As A Competitor 49:34 Partnerships: Trezor Bitwise Sui 50:30 What’s ByBit Doing To Prepare For An AI Driven World 53:56 The Evolution Of Crypto vs AI 56:57 What Makes Ben Happy 57:21 Does Ben Feel Happier Now That He’s Rich 58:30 One Thing Ben Is Holding Onto That He Should Let Go Of 59:04 What Ben Does With His Money 1:00:14 What Does The Voice In Ben's Head Tell Him 1:02:58 One Thing Ben’s Learned That You Can Takeaway Today 1:04:11 Who Is Ben Zhou 1:06:20 Closing Thoughts

MR SHIFT 🦁

132,587 просмотров • 4 месяцев назад

Anthropic's CEO just leaked the most INSANE revenue numbers in AI history. And what he said about the next 12 months will change how you think about every business decision you're making right now. Dario Amodei told Dwarkesh Patel on the interview that Anthropic went from: - 2023: $0 to $100M - 2024: $100M to $1B - 2025: $1B to $9-10B That's 10x revenue growth. Every. Single. Year. "In January alone, we added another few billion to revenue." One month. A few billion dollars. Think about what that means. Most companies would kill for $1B in annual revenue. Anthropic added multiple billions in 30 days. But Dario said something even more interesting: "We are near the end of the exponential." Not the end of AI progress. The end of people understanding how close we actually are. His exact words: "It is absolutely wild that you have people talking about the same tired political issues, when we are near the end of the exponential." What does "end of the exponential" mean? In 1-3 years, we get what he calls a "country of geniuses in a data center." AI systems that can: - Do end-to-end software engineering - Navigate any computer interface - Learn new skills like humans do - Replace entire categories of knowledge work And here's the contradiction: If Anthropic really believed this was 1-3 years away, why aren't they buying $1 trillion in compute? Dario's answer exposes the real game: "If you're off by only a year in your prediction, you go bankrupt." So even the CEO who's most bullish on AI timelines is hedging. He's buying hundreds of billions in compute. Not trillions. Because the gap between "AI can do the job" and "companies actually pay for it" is massive. He calls it "economic diffusion." I call it the gap that's going to make some people very rich and destroy everyone who ignores it. The models are already better than people think. Claude Code writes 90% of code at Anthropic right now. But Dario says there's a huge difference between: - 90% of code written by AI - 100% of code written by AI - 90% of end-to-end SWE tasks done by AI - 100% of end-to-end SWE tasks done by AI We're moving through that spectrum "very quickly." His prediction: FULL end-to-end software engineering in 1-2 years. But here's what's scary: The technology is advancing faster than anyone outside the AI labs understands. And the revenue is following faster than any technology in history. But it's still not instant. Dario expects 10-20% annual GDP growth. Not 300%. Which means we're in this weird middle zone: Fast enough to destroy unprepared businesses. Slow enough that most people are ignoring it. Dario's big takeaway: If you're running a business right now, you have maybe 12-18 months to figure out how AI changes your model. Not to "add AI features." To fundamentally rethink what you're selling and who can do the work. Because the companies that get this right will 10x. And the ones that don't will be explaining to investors why revenue is flat while everyone else is printing money. The exponential is ending. But most people literally still don't even know it started.
2:05

Anthropic's CEO just leaked the most INSANE revenue numbers in AI history. And what he said about the next 12 months will change how you think about every business decision you're making right now. Dario Amodei told Dwarkesh Patel on the interview that Anthropic went from: - 2023: $0 to $100M - 2024: $100M to $1B - 2025: $1B to $9-10B That's 10x revenue growth. Every. Single. Year. "In January alone, we added another few billion to revenue." One month. A few billion dollars. Think about what that means. Most companies would kill for $1B in annual revenue. Anthropic added multiple billions in 30 days. But Dario said something even more interesting: "We are near the end of the exponential." Not the end of AI progress. The end of people understanding how close we actually are. His exact words: "It is absolutely wild that you have people talking about the same tired political issues, when we are near the end of the exponential." What does "end of the exponential" mean? In 1-3 years, we get what he calls a "country of geniuses in a data center." AI systems that can: - Do end-to-end software engineering - Navigate any computer interface - Learn new skills like humans do - Replace entire categories of knowledge work And here's the contradiction: If Anthropic really believed this was 1-3 years away, why aren't they buying $1 trillion in compute? Dario's answer exposes the real game: "If you're off by only a year in your prediction, you go bankrupt." So even the CEO who's most bullish on AI timelines is hedging. He's buying hundreds of billions in compute. Not trillions. Because the gap between "AI can do the job" and "companies actually pay for it" is massive. He calls it "economic diffusion." I call it the gap that's going to make some people very rich and destroy everyone who ignores it. The models are already better than people think. Claude Code writes 90% of code at Anthropic right now. But Dario says there's a huge difference between: - 90% of code written by AI - 100% of code written by AI - 90% of end-to-end SWE tasks done by AI - 100% of end-to-end SWE tasks done by AI We're moving through that spectrum "very quickly." His prediction: FULL end-to-end software engineering in 1-2 years. But here's what's scary: The technology is advancing faster than anyone outside the AI labs understands. And the revenue is following faster than any technology in history. But it's still not instant. Dario expects 10-20% annual GDP growth. Not 300%. Which means we're in this weird middle zone: Fast enough to destroy unprepared businesses. Slow enough that most people are ignoring it. Dario's big takeaway: If you're running a business right now, you have maybe 12-18 months to figure out how AI changes your model. Not to "add AI features." To fundamentally rethink what you're selling and who can do the work. Because the companies that get this right will 10x. And the ones that don't will be explaining to investors why revenue is flat while everyone else is printing money. The exponential is ending. But most people literally still don't even know it started.

Ricardo

62,059 просмотров • 6 месяцев назад

Five years ago, Wayne L. and I founded HeyGen on a simple, yet powerful belief: everyone has a story to tell. But most people avoid the lens, and premium production isn’t in every budget. So we set out to democratize video creation and make visual storytelling accessible to everyone. Today, we take the next, most significant leap in that journey with three big announcements: 1. A new HeyGen Our new brand reflects our evolution from an AI video tool to an indispensable creative operating system. You’ll see our new look reflected on our website and in the app. 2. Video Agent public beta Video Agent is now in public beta and available to all HeyGen users. It’s the creative operating system that transforms a single prompt into a complete, publishable video across all your needs. 3. Alisa joins HeyGen To accelerate our mission, we have acquired Alisa by Genova Labs, a true pioneer in intelligent multimedia agents. With this new addition, we are also thrilled to welcome its founder, Bin Liu, to lead our new Video Agent product. Join us as we welcome the Alisa team and write the next chapter of HeyGen, together.
2:49

Five years ago, Wayne L. and I founded HeyGen on a simple, yet powerful belief: everyone has a story to tell. But most people avoid the lens, and premium production isn’t in every budget. So we set out to democratize video creation and make visual storytelling accessible to everyone. Today, we take the next, most significant leap in that journey with three big announcements: 1. A new HeyGen Our new brand reflects our evolution from an AI video tool to an indispensable creative operating system. You’ll see our new look reflected on our website and in the app. 2. Video Agent public beta Video Agent is now in public beta and available to all HeyGen users. It’s the creative operating system that transforms a single prompt into a complete, publishable video across all your needs. 3. Alisa joins HeyGen To accelerate our mission, we have acquired Alisa by Genova Labs, a true pioneer in intelligent multimedia agents. With this new addition, we are also thrilled to welcome its founder, Bin Liu, to lead our new Video Agent product. Join us as we welcome the Alisa team and write the next chapter of HeyGen, together.

Joshua Xu

3,267,386 просмотров • 11 месяцев назад

She’s making $10,000 a month with a cartoon bunny. Not a real character. Not a big team. Just an AI bunny named Fluffy that she created in 7 minutes. 1/4 - She takes viral kids videos 2/4 - Throws the link into ChatGPT 3/4 - Gets a prompt, and generates the whole thing inside Picsart Flow. 4/4 - Some of her videos are pulling hundreds of millions of views. YT pays from $1,000 to $10,000+ for 1 million views on long format vids While most people are still trying to come up with original ideas and burning out… She’s copying what’s already working, turning it into AI content, and letting it print. This is one of the fastest and dumbest ways to make money on YouTube right now. Most people will watch this and think it’s too good to be true. The ones who actually try it are going to be in a completely different position in a few months. Watch exactly how she’s doing it 👇 Follow me if you want to see EXACT step-by-step guide. I will post iton my X shortly, notifs on!
0:52

She’s making $10,000 a month with a cartoon bunny. Not a real character. Not a big team. Just an AI bunny named Fluffy that she created in 7 minutes. 1/4 - She takes viral kids videos 2/4 - Throws the link into ChatGPT 3/4 - Gets a prompt, and generates the whole thing inside Picsart Flow. 4/4 - Some of her videos are pulling hundreds of millions of views. YT pays from $1,000 to $10,000+ for 1 million views on long format vids While most people are still trying to come up with original ideas and burning out… She’s copying what’s already working, turning it into AI content, and letting it print. This is one of the fastest and dumbest ways to make money on YouTube right now. Most people will watch this and think it’s too good to be true. The ones who actually try it are going to be in a completely different position in a few months. Watch exactly how she’s doing it 👇 Follow me if you want to see EXACT step-by-step guide. I will post iton my X shortly, notifs on!

Frogify

59,472 просмотров • 2 месяцев назад

$AMD Massive Rotation from $NVDA $INTC🧵 Not Financial Advice! DYOR! 5-10 minutes before the bell today, last trading day of May 2026, massive rotation out of $INTC and $NVDA into $AMD. I wrote this thread this morning on what $TSM said on Energy Efficiency is now TOP Priotity and why AMD is the biggest winner. Of course I did not have influence on this rebalancing, I was just pointing out why Dr. Su saw this coming years ago. (Check the picture to understand more). I been talking about Agentic AI for like 3-4 years now. OpenClaw broke the CPU:GPU Ratio 1:4 narrative to 1:1 to 5:1 in late Jan and Feb 2026. I will link various threads where you can understand the full picture from supply chain, to TSMC expansion, and different Wafer Ratio for EPYC Venice and MI455X. Energy efficiency is a structural, long-term driver behind institutional rotation from $NVDA and $INTC into $AMD (with spillover strength in $AVGO for complementary networking/custom silicon). This isn't just short-term rebalancing, it's a massive bet on the shift from AI training (performance-at-any-cost) to inference, deployment, and embodied/agentic systems (where total cost of ownership, power draw, and scalability dominate). Precisely What I been writing about $AMD for years now, probably at least more than 5,000 threads.This is the FOMO from Institutions to own $AMD. Do know that AMD is the least owned Semi Stock among vs Peers. AI infrastructure is moving beyond massive training clusters to widespread inference for Agentic AI (running models 24/7) and embodied AI (robots, autonomous agents, edge devices). These workloads prioritize: ~Tokens-per-watt and performance-per-watt ~Lower total power consumption for data centers facing grid constraints ~Better economics at scale (cost-per-token, TCO) ~Thermal and power efficiency for on-device/robotics use Hyperscalers are now thinking more about Margin, Profitability, and $/M Tokens At $516/share. AMD Fwd PEG Ratio is still 35/100+= 0.35 AKA very cheap IMO for the growth and potential. A. Why institutions rotated out of $NVDA? Because Agentic AI is going to dominated by CPUs for years to come, moving violently to 5-10-20:1 CPU:GPU Ratio as enterprises are demanding more than 10-20 agents to run tasks. Now, that does not mean training is going away, Inference is just going to grow much faster. B. Why instiutitons rotated out of $INTC? Because AMD x86 unit share is only at 30-31% but Revenue share is already at 46.2% according to Mercury Research. And Dr. Su wants 50-60% market share, and that would mean 60-70%+ Revenue share where the CPUs TAM Is now already at $200B in 2026 and projected to be $500B by 2030. C. Why $AMD? Because AMD secured meaningful 2nm Capacity, Advanced Packaging and Memory through 2027-2028. And TSMC is expanding 2 primary 2nm Fabs toward 60-65k WPM each, and speeding up 5 2nm Fabs in Taiwan. With total up to 12 2nm Fabs through 2027/2028. 2nm Capacity is expected to be 140k+ WPM toward end of 2026, and 220-240k WPM by end of 2027. Apple has secured 35-45k WPM. And AMD does not have to worry about allocation competition until late 2027 from $AVGO for $META and $GOOGL(This may change) D. Agentic AI will evolve to 24/7 Autonomous Agent, and that will become the foundational layer for Robotic or Physical AI. Agentic AI (autonomous systems that plan, reason, use tools, self-correct, pursue long-horizon goals, and adapt) provides the high-level cognitive architecture. It turns raw perception and low-level control into useful, general-purpose behavior in the physical world. Physical AI (or Embodied AI) refers to AI that senses, understands, and acts directly in the real world through robots, actuators, and sensors. Agentic capabilities are what make this scalable and useful beyond narrow, scripted tasks. Reactive/programmed machines → To proactive, goal-oriented autonomous agents. How does this work? Autonomous Agent layer is the brain ~Vision-Language-Action models or robotics foundation models. ~Agentic loops: Planning, chain-of-thought reasoning, reflection, tool use (simulators, APIs), multi-step task decomposition. ~Persistent 24/7 operation with Memory, world modeling, continuous learning. Institutions may not like $AMD from 2022-2025, but they cannot stop this evolution and it is inevitable. Part of my main thesis for AMD to get to $5 Trillion Market Cap Long Term. Conclusion: Institutions are rotating capital toward AMD not merely for tactical rebalancing, but because Dr. Lisa Su and her team anticipated this exact inflection years in advance and have been methodically engineering AMD’s platform to dominate it. Dr. Su has long championed the convergence of Agentic AI as the high-level cognitive foundation for Physical AI and robotics. As far back as her 2023/2024 CES keynote and earlier strategic commentary, she described Physical AI (including humanoid robotics and edge autonomy) as “the next big thing”; a natural extension of agentic workflows moving from digital reasoning to real-world action. She emphasized that enabling persistent, 24/7 autonomous agents requires a full-stack approach: high-performance CPUs for orchestration and motion control, dedicated accelerators for real-time vision and multimodal inference, and open software ecosystems for rapid development. This vision aligns precisely with the structural drivers we’ve discussed. As AI shifts from training to massive-scale inference and embodiment, energy efficiency, total cost of ownership, and heterogeneous compute become first-order advantages. AMD’s Instinct MI350/MI355 series, Ryzen AI Embedded processors, and EPYC platforms deliver superior performance-per-watt and balanced CPU + GPU + NPU integration ideal for power-constrained robots that must run sophisticated agentic reasoning loops without excessive thermal or battery drain. Dr. Su has repeatedly highlighted the rising importance of CPUs in agentic systems (moving toward 1:1 or even CPU-heavy ratios with GPUs), positioning AMD’s strengths in orchestration, memory handling, and efficiency as critical for the next phase of growth. AMD is engineered for the deployment realities of embodied agents: scalable, efficient, and deployable at the edge and in physical systems. The institutional flows out of NVDA and INTC into AMD reflect recognition of this prepared leadership. Dr. Su didn’t just see the future of Agentic AI powering robotics, she has spent years building the silicon, software, and partnerships to make it practical and economically viable. This rotation signals confidence that the companies best positioned for the physical, always-on intelligence layer will capture the highest-volume opportunities in the coming decade. Not Financial Advice! DYOR!
2:25

$AMD Massive Rotation from $NVDA $INTC🧵 Not Financial Advice! DYOR! 5-10 minutes before the bell today, last trading day of May 2026, massive rotation out of $INTC and $NVDA into $AMD. I wrote this thread this morning on what $TSM said on Energy Efficiency is now TOP Priotity and why AMD is the biggest winner. Of course I did not have influence on this rebalancing, I was just pointing out why Dr. Su saw this coming years ago. (Check the picture to understand more). I been talking about Agentic AI for like 3-4 years now. OpenClaw broke the CPU:GPU Ratio 1:4 narrative to 1:1 to 5:1 in late Jan and Feb 2026. I will link various threads where you can understand the full picture from supply chain, to TSMC expansion, and different Wafer Ratio for EPYC Venice and MI455X. Energy efficiency is a structural, long-term driver behind institutional rotation from $NVDA and $INTC into $AMD (with spillover strength in $AVGO for complementary networking/custom silicon). This isn't just short-term rebalancing, it's a massive bet on the shift from AI training (performance-at-any-cost) to inference, deployment, and embodied/agentic systems (where total cost of ownership, power draw, and scalability dominate). Precisely What I been writing about $AMD for years now, probably at least more than 5,000 threads.This is the FOMO from Institutions to own $AMD. Do know that AMD is the least owned Semi Stock among vs Peers. AI infrastructure is moving beyond massive training clusters to widespread inference for Agentic AI (running models 24/7) and embodied AI (robots, autonomous agents, edge devices). These workloads prioritize: ~Tokens-per-watt and performance-per-watt ~Lower total power consumption for data centers facing grid constraints ~Better economics at scale (cost-per-token, TCO) ~Thermal and power efficiency for on-device/robotics use Hyperscalers are now thinking more about Margin, Profitability, and $/M Tokens At $516/share. AMD Fwd PEG Ratio is still 35/100+= 0.35 AKA very cheap IMO for the growth and potential. A. Why institutions rotated out of $NVDA? Because Agentic AI is going to dominated by CPUs for years to come, moving violently to 5-10-20:1 CPU:GPU Ratio as enterprises are demanding more than 10-20 agents to run tasks. Now, that does not mean training is going away, Inference is just going to grow much faster. B. Why instiutitons rotated out of $INTC? Because AMD x86 unit share is only at 30-31% but Revenue share is already at 46.2% according to Mercury Research. And Dr. Su wants 50-60% market share, and that would mean 60-70%+ Revenue share where the CPUs TAM Is now already at $200B in 2026 and projected to be $500B by 2030. C. Why $AMD? Because AMD secured meaningful 2nm Capacity, Advanced Packaging and Memory through 2027-2028. And TSMC is expanding 2 primary 2nm Fabs toward 60-65k WPM each, and speeding up 5 2nm Fabs in Taiwan. With total up to 12 2nm Fabs through 2027/2028. 2nm Capacity is expected to be 140k+ WPM toward end of 2026, and 220-240k WPM by end of 2027. Apple has secured 35-45k WPM. And AMD does not have to worry about allocation competition until late 2027 from $AVGO for $META and $GOOGL(This may change) D. Agentic AI will evolve to 24/7 Autonomous Agent, and that will become the foundational layer for Robotic or Physical AI. Agentic AI (autonomous systems that plan, reason, use tools, self-correct, pursue long-horizon goals, and adapt) provides the high-level cognitive architecture. It turns raw perception and low-level control into useful, general-purpose behavior in the physical world. Physical AI (or Embodied AI) refers to AI that senses, understands, and acts directly in the real world through robots, actuators, and sensors. Agentic capabilities are what make this scalable and useful beyond narrow, scripted tasks. Reactive/programmed machines → To proactive, goal-oriented autonomous agents. How does this work? Autonomous Agent layer is the brain ~Vision-Language-Action models or robotics foundation models. ~Agentic loops: Planning, chain-of-thought reasoning, reflection, tool use (simulators, APIs), multi-step task decomposition. ~Persistent 24/7 operation with Memory, world modeling, continuous learning. Institutions may not like $AMD from 2022-2025, but they cannot stop this evolution and it is inevitable. Part of my main thesis for AMD to get to $5 Trillion Market Cap Long Term. Conclusion: Institutions are rotating capital toward AMD not merely for tactical rebalancing, but because Dr. Lisa Su and her team anticipated this exact inflection years in advance and have been methodically engineering AMD’s platform to dominate it. Dr. Su has long championed the convergence of Agentic AI as the high-level cognitive foundation for Physical AI and robotics. As far back as her 2023/2024 CES keynote and earlier strategic commentary, she described Physical AI (including humanoid robotics and edge autonomy) as “the next big thing”; a natural extension of agentic workflows moving from digital reasoning to real-world action. She emphasized that enabling persistent, 24/7 autonomous agents requires a full-stack approach: high-performance CPUs for orchestration and motion control, dedicated accelerators for real-time vision and multimodal inference, and open software ecosystems for rapid development. This vision aligns precisely with the structural drivers we’ve discussed. As AI shifts from training to massive-scale inference and embodiment, energy efficiency, total cost of ownership, and heterogeneous compute become first-order advantages. AMD’s Instinct MI350/MI355 series, Ryzen AI Embedded processors, and EPYC platforms deliver superior performance-per-watt and balanced CPU + GPU + NPU integration ideal for power-constrained robots that must run sophisticated agentic reasoning loops without excessive thermal or battery drain. Dr. Su has repeatedly highlighted the rising importance of CPUs in agentic systems (moving toward 1:1 or even CPU-heavy ratios with GPUs), positioning AMD’s strengths in orchestration, memory handling, and efficiency as critical for the next phase of growth. AMD is engineered for the deployment realities of embodied agents: scalable, efficient, and deployable at the edge and in physical systems. The institutional flows out of NVDA and INTC into AMD reflect recognition of this prepared leadership. Dr. Su didn’t just see the future of Agentic AI powering robotics, she has spent years building the silicon, software, and partnerships to make it practical and economically viable. This rotation signals confidence that the companies best positioned for the physical, always-on intelligence layer will capture the highest-volume opportunities in the coming decade. Not Financial Advice! DYOR!

Mike

104,109 просмотров • 3 месяцев назад

I've built a multiplayer survival game for the browser in 30 days and I didnt write a single line of code 🤯 So I'd like to write my notes about it once the deadline is done now. The last 20% of a project is indeed the hardest part of it all. In the last 2 days i've been working on the final version of Hollowlands for @levelsio's 2026 #vibejam I worked a lot! I fixed a lot of bugs, tested a lot playing with my wife. Fixed more bugs... But now, thank God, I have the final result! The game looks good, yes. I've spent half of the jam just tweaking every single detail of the procedural world generation. And It was worth it! The game still runs well on most devices and still has less than 20MB in size. Which is pretty impressive to me. The process of building was very straighforward: 1. I used Three.js + React to create the game. Before I started I created a huge document defining every rule i'd like the codebase to be implemented upon. It had clean code rules, archtecture decisions, ECS principles (good for games), and so on. This helped a lot constrain the AI to maintain the code maintainable and separated into clear domains (systems). This document was made partially by me given my previous experience building web games (I've made a lot of mistakes in the past and made sure they will not repeat again) and partially AI suggesting best practices. 2. For every feature I prompted the AI, I was very specific on details that I'd like implemented. If I knew what I was doing, I was more specific on the "how" I wanted to be done. If I didnt know what was doing I first asked the AI to brainstorm possibilities with me, based on industry standards, pros and cons, and so on. Then I would decide what path to go. 3. Every single feature I used Leva for tweaking the values. So for example, the size of the trees, colors, distance between objects, animation speed, etc. Everything I have a slider that I can adjust. 4. To make the game look good I used Tripo to create the models. To be honest it's not 100% perfect. If you check the character in game you can notice a few issues here and there (the arms lol), but I believe that it will keep getting better over time. 1 Year ago I tried and it wasnt even close to what it's now. Then I used a few post-processing + shaders + particles techniques to bring the "wow" factor. 5. I did only 1 feature at a time. And every change it was a commit with a clear message of what was done. This helped the AI fetch previous commit to understand what changed and know exactly what happened in the past. If I opened multiple terminals at once and blasted prompts the code and commit history would be a mess in a few days. And for every change the AI did, I asked it to do a Code Review of everything that was changed and look for violations on the document I wrote in the beggining defining the codebase guidelines. I realized that I pretty much applied software engineer principles using AI: Code, review and merge, code, review and merge... 6. On the last week I implemented the multiplayer using Colyseus ⚔️ which was pretty nice. I used AI to fetch the whole documentation and create a skill.md file that helped a lot. The creator of the framework Endel also did a extensive research on how real multiplayer games are implemented. It's open source and it was a gold mine for the AI to come up with the implementation for my game. You can ask him the link :) And that was it I think. I'm extremely tired now. The last 2 days was insane. The game's final version is not what I had in mind in the beginning of the jam. I had to cut a lot of cool features. But given the 30 days deadline I think it was a huge success. Hands down my best game ever made. Now I'll take a few days to rest and come back with more updates on the game. Maybe it can become a big deal in the future with more updates. Who knows. And in the event I win first place in this game jam, I'll use the money to fund my own game studio + cover the expenses of my child that is going to be born in September :) Cheers guys! If you have any question, feel free to reach out. I'll answer every non-bot comment in here haha Note: The link to play is in my profile
1:06

I've built a multiplayer survival game for the browser in 30 days and I didnt write a single line of code 🤯 So I'd like to write my notes about it once the deadline is done now. The last 20% of a project is indeed the hardest part of it all. In the last 2 days i've been working on the final version of Hollowlands for @levelsio's 2026 #vibejam I worked a lot! I fixed a lot of bugs, tested a lot playing with my wife. Fixed more bugs... But now, thank God, I have the final result! The game looks good, yes. I've spent half of the jam just tweaking every single detail of the procedural world generation. And It was worth it! The game still runs well on most devices and still has less than 20MB in size. Which is pretty impressive to me. The process of building was very straighforward: 1. I used Three.js + React to create the game. Before I started I created a huge document defining every rule i'd like the codebase to be implemented upon. It had clean code rules, archtecture decisions, ECS principles (good for games), and so on. This helped a lot constrain the AI to maintain the code maintainable and separated into clear domains (systems). This document was made partially by me given my previous experience building web games (I've made a lot of mistakes in the past and made sure they will not repeat again) and partially AI suggesting best practices. 2. For every feature I prompted the AI, I was very specific on details that I'd like implemented. If I knew what I was doing, I was more specific on the "how" I wanted to be done. If I didnt know what was doing I first asked the AI to brainstorm possibilities with me, based on industry standards, pros and cons, and so on. Then I would decide what path to go. 3. Every single feature I used Leva for tweaking the values. So for example, the size of the trees, colors, distance between objects, animation speed, etc. Everything I have a slider that I can adjust. 4. To make the game look good I used Tripo to create the models. To be honest it's not 100% perfect. If you check the character in game you can notice a few issues here and there (the arms lol), but I believe that it will keep getting better over time. 1 Year ago I tried and it wasnt even close to what it's now. Then I used a few post-processing + shaders + particles techniques to bring the "wow" factor. 5. I did only 1 feature at a time. And every change it was a commit with a clear message of what was done. This helped the AI fetch previous commit to understand what changed and know exactly what happened in the past. If I opened multiple terminals at once and blasted prompts the code and commit history would be a mess in a few days. And for every change the AI did, I asked it to do a Code Review of everything that was changed and look for violations on the document I wrote in the beggining defining the codebase guidelines. I realized that I pretty much applied software engineer principles using AI: Code, review and merge, code, review and merge... 6. On the last week I implemented the multiplayer using Colyseus ⚔️ which was pretty nice. I used AI to fetch the whole documentation and create a skill.md file that helped a lot. The creator of the framework Endel also did a extensive research on how real multiplayer games are implemented. It's open source and it was a gold mine for the AI to come up with the implementation for my game. You can ask him the link :) And that was it I think. I'm extremely tired now. The last 2 days was insane. The game's final version is not what I had in mind in the beginning of the jam. I had to cut a lot of cool features. But given the 30 days deadline I think it was a huge success. Hands down my best game ever made. Now I'll take a few days to rest and come back with more updates on the game. Maybe it can become a big deal in the future with more updates. Who knows. And in the event I win first place in this game jam, I'll use the money to fund my own game studio + cover the expenses of my child that is going to be born in September :) Cheers guys! If you have any question, feel free to reach out. I'll answer every non-bot comment in here haha Note: The link to play is in my profile

André → andreelias.dev

17,950 просмотров • 4 месяцев назад

I’ve seen enough. Smart Assist has reached its breaking point. I was casually getting a few games in with my Barca team when I encountered a pro player who is Top 22 in the World in PvP divisions and Top 30 in the World in AI divisions using Smart Assist. This guy is clearly not a beginner at the game and I don’t want to hear any sort of nonsense excuse trying to justify him using Smart Assist because this feature was meant to help noobs and beginners at the game not pro players who know the game inside and out. I can only assume that 99% of the playerbase is using Smart Assist. It’s a fact that I am struggling to come to terms with but this is the unfortunate reality. What has happened is that slowly more and more players who were not using Smart Assist experienced how dreadful it is playing against a Smart Assist user regardless of the skill level of the Smart Assist user and decided to turn it on themselves so they don’t have to endure the suffering that comes with playing against Smart Assist. It’s a little depressing seeing where the game is at right now but this is unfortunately Konami’s vision for the game. I just can’t wrap my head around it when you literally can have a garbage team with $0 spent with Smart Assist turned on and be able to smash a fully paid premium Epic and Big Time team by pressing and holding 1 button the entire game. Hopefully soon they will realize that all of the Smart Assist users (which is 99% of the playerbase) will see no need to spend any money on the game since an untrained GP Niklas Sule from the Standard Player list with 67 speed and 48 acceleration (I’m not lying that’s literally his stats) is able to catch up with George Best with 100+ speed and 100+ Acceleration.
8:50

I’ve seen enough. Smart Assist has reached its breaking point. I was casually getting a few games in with my Barca team when I encountered a pro player who is Top 22 in the World in PvP divisions and Top 30 in the World in AI divisions using Smart Assist. This guy is clearly not a beginner at the game and I don’t want to hear any sort of nonsense excuse trying to justify him using Smart Assist because this feature was meant to help noobs and beginners at the game not pro players who know the game inside and out. I can only assume that 99% of the playerbase is using Smart Assist. It’s a fact that I am struggling to come to terms with but this is the unfortunate reality. What has happened is that slowly more and more players who were not using Smart Assist experienced how dreadful it is playing against a Smart Assist user regardless of the skill level of the Smart Assist user and decided to turn it on themselves so they don’t have to endure the suffering that comes with playing against Smart Assist. It’s a little depressing seeing where the game is at right now but this is unfortunately Konami’s vision for the game. I just can’t wrap my head around it when you literally can have a garbage team with $0 spent with Smart Assist turned on and be able to smash a fully paid premium Epic and Big Time team by pressing and holding 1 button the entire game. Hopefully soon they will realize that all of the Smart Assist users (which is 99% of the playerbase) will see no need to spend any money on the game since an untrained GP Niklas Sule from the Standard Player list with 67 speed and 48 acceleration (I’m not lying that’s literally his stats) is able to catch up with George Best with 100+ speed and 100+ Acceleration.

Jacques

52,149 просмотров • 3 месяцев назад

Special Pre-launch Event: $20,000 PRIZE POOL + $2,500 GIVEAWAY! We are thrilled to announce the pre-launch of PvP Vibe: AI Game Maker by ZarGates! Very soon, you will be able to create games using just AI and your imagination — zero coding required. To celebrate, we are dropping the first $2,500 USDT giveaway (50 winners × $50 USDT)! HOW TO JOIN THE GIVEAWAY? 1️⃣ Quote RT this post, tag 3 friends, and tell us why you believe in PvP Vibe! 2️⃣ Register on and drop your referral link in the replies to YOUR Quote RT. 3️⃣ Fill out the Google Form (check the reply). Deadline: May 6th at 18:00 UTC WANT TO LOOT $20,000? Invite your friends to PvP Vibe, build a 3‑tier referral tree, and earn continuous passive income from them: 🥇 10% from Tier 1 friends 🥈 3% from Tier 2 friends 🥉 2% from Tier 3 friends Top contributors will share the $20,000 prize pool at the end of the pre-launch! This is an amazing opportunity for all of us. We are standing at the beginning of one of the biggest transformations in the gaming industry — like when smartphones were released. And we can make it really BIG! So let's do it! This is the best time to make it happen!
2:09

Special Pre-launch Event: $20,000 PRIZE POOL + $2,500 GIVEAWAY! We are thrilled to announce the pre-launch of PvP Vibe: AI Game Maker by ZarGates! Very soon, you will be able to create games using just AI and your imagination — zero coding required. To celebrate, we are dropping the first $2,500 USDT giveaway (50 winners × $50 USDT)! HOW TO JOIN THE GIVEAWAY? 1️⃣ Quote RT this post, tag 3 friends, and tell us why you believe in PvP Vibe! 2️⃣ Register on and drop your referral link in the replies to YOUR Quote RT. 3️⃣ Fill out the Google Form (check the reply). Deadline: May 6th at 18:00 UTC WANT TO LOOT $20,000? Invite your friends to PvP Vibe, build a 3‑tier referral tree, and earn continuous passive income from them: 🥇 10% from Tier 1 friends 🥈 3% from Tier 2 friends 🥉 2% from Tier 3 friends Top contributors will share the $20,000 prize pool at the end of the pre-launch! This is an amazing opportunity for all of us. We are standing at the beginning of one of the biggest transformations in the gaming industry — like when smartphones were released. And we can make it really BIG! So let's do it! This is the best time to make it happen!

ZarGates

206,704 просмотров • 4 месяцев назад

My second book (of now five) was on contextual software at Written to get ahead of Salesforce's strategy (each of our five books were written for the same reason -- to get ahead of the big company strategists -- and each did exactly that). Marc Benioff (Salesforce's CEO) wrote the forward because he liked my work. Today I saw a piece of the future of X. So this post is for Elon Musk. Grok and X needs what I just saw. Two guys from India visited my house this morning to show it to me: Jibin Mathew and Jikku Jose, founders of StoryBrain. The everything app needs to move way past TikTok if it's really going to grow. So, everything here, especially company posts to sell people on things, must become more visual and personalized (companies here are a big deal, I've found 3,600 AI companies already here and mapped them all out at They showed me that their system can generate attractive videos from: 1. An Amazon product page. 2. A PDF. 3. A Walmart product page. Or really any product page. The AI ingests them, finds important things on them to present to sell the product, and generates media for doing just that. Now why does this matter? Well, these "adaptive media" pieces need: 1. To be translated to all languages. India, alone, has more than 20 languages depending on what part of the country you are in. 2. Get the key selling/story points. 3. Learn from users. If everyone buys more on product pages with red backgrounds, it can learn that and change everything to red. 4. Work on every device. Not just new iPhones. Old shitty Android phones (no AR). TV's. Laptops. Tablets. Even watches. 5. Be personalized for culture and better results. Their team is half AI developers and has been working on generative AI to do this for four years. AI generation changes the game. If X is going to be the everything app that Elon says he wants to turn X into, then it must move toward a much more visual interface, and, soon, into 3D as well due to Vision Pro and competitors. In other words, X needs something like this. Why? 30% of the human brain is for visual processing. They process visual pieces like this much faster than the text that GPT generates. There are many millions of people who can't read at all, too. Can someone who is selling, say, jewelry, or travel, or, "everything," easily make these new pieces to push to social media? In an "everything" app it needs to be super simple. Also, by generating these on the fly (with some precaching) you can ensure they are always up to date and topical. This was my second startup of the morning. Starting the week with a bang!
0:43

My second book (of now five) was on contextual software at Written to get ahead of Salesforce's strategy (each of our five books were written for the same reason -- to get ahead of the big company strategists -- and each did exactly that). Marc Benioff (Salesforce's CEO) wrote the forward because he liked my work. Today I saw a piece of the future of X. So this post is for Elon Musk. Grok and X needs what I just saw. Two guys from India visited my house this morning to show it to me: Jibin Mathew and Jikku Jose, founders of StoryBrain. The everything app needs to move way past TikTok if it's really going to grow. So, everything here, especially company posts to sell people on things, must become more visual and personalized (companies here are a big deal, I've found 3,600 AI companies already here and mapped them all out at They showed me that their system can generate attractive videos from: 1. An Amazon product page. 2. A PDF. 3. A Walmart product page. Or really any product page. The AI ingests them, finds important things on them to present to sell the product, and generates media for doing just that. Now why does this matter? Well, these "adaptive media" pieces need: 1. To be translated to all languages. India, alone, has more than 20 languages depending on what part of the country you are in. 2. Get the key selling/story points. 3. Learn from users. If everyone buys more on product pages with red backgrounds, it can learn that and change everything to red. 4. Work on every device. Not just new iPhones. Old shitty Android phones (no AR). TV's. Laptops. Tablets. Even watches. 5. Be personalized for culture and better results. Their team is half AI developers and has been working on generative AI to do this for four years. AI generation changes the game. If X is going to be the everything app that Elon says he wants to turn X into, then it must move toward a much more visual interface, and, soon, into 3D as well due to Vision Pro and competitors. In other words, X needs something like this. Why? 30% of the human brain is for visual processing. They process visual pieces like this much faster than the text that GPT generates. There are many millions of people who can't read at all, too. Can someone who is selling, say, jewelry, or travel, or, "everything," easily make these new pieces to push to social media? In an "everything" app it needs to be super simple. Also, by generating these on the fly (with some precaching) you can ensure they are always up to date and topical. This was my second startup of the morning. Starting the week with a bang!

Robert Scoble

21,188 просмотров • 2 лет назад

This launch is one of the most exciting and important decisions we have ever made. In the traditional gaming industry, KingNet ( company , is well-known as the developer of the game 《The Legend of MIR 》, Over the past decade, KingNet has supported its operations through a three-pronged business model of research and development, publishing, and investment + IP, launching 100+ high-quality games to date. Web3's building has been ongoing for nearly two years. We have established a brand-new game studio SmileCobra Studio , and establish long-term cooperative relationships with some big guys like TON 💎 BNB Chain Solana Scroll Delphinus Lab ($ZKWASM) Cocos Studio and others. However, after speaking with many developers, we found that before a real user consumption scenario is formed, one of the main challenges many teams face is how to reduce game development costs. So it's best time to learn about Xingyi AI model : the first AI industrialization pipeline, making game production truly "automated". Check here: What problem we want to solve? 1. High Production Costs: Traditional animation design and refinement can cost anywhere from several thousand to tens of thousands of dollars, making it difficult for small startup teams to afford. 2. Long Development Cycles: The fluidity and consistency of animations have always been one of the most time-consuming aspects of development. Designers often spend weeks to achieve a satisfactory result. With Xingyi, it only takes a few steps and minutes to generate the desired animation. 3. Inefficient Collaboration: In the past, game development was usually divided into multiple stages, each managed by independent teams responsible for art, planning, programming, and other roles. The smooth transition between stages relied on high levels of team collaboration and communication. The Xingyi toolchain breaks the traditional division of labor, promoting automation and collaboration across various stages. 4. Automated but Not Passive: Outside of the automated processes, developers are the true creators of the game. Xingyi makes prototype validation and adjustments more scientific and efficient. We will gradually open source the underlying model of Xingyi and make it available to interested collaboration developers (DM is open). We have already made various agent material generation available, and you can try it now: Finally, we would like to discuss a point that many people are concerned about, why was there a launch at @pumpdotfun and it was abandoned? The most important reason is that we lacked experience in the first launch and were affected by snipers and the market. We conducted wallet statistics and found that, excluding bots, a total of 25 addresses suffered a loss of approximately 17 sol. We will use the trading fee of Launch Coin on Believe to airdrop these accounts and apologize again for our mistake. Also, thank you to Launch Coin on Believe for the smooth launch and long-term creative sharing with the builders, only $KNET CA is : CfVs3waH2Z9TM397qSkaipTDhA9wWgtt8UchZKfwkYiu $KNET not representing any equity interests of the parent company , $KNET is a meme, but at the same time, it’s not just a meme. $KNET will play a key role in the consumption scenarios of the KingnetAI ecosystem—imagine having to continuously spend $KNET each time you generate the game modules you want. Gamefi is died？ NO, AI-Gaming just begain here .
2:51

This launch is one of the most exciting and important decisions we have ever made. In the traditional gaming industry, KingNet ( company , is well-known as the developer of the game 《The Legend of MIR 》, Over the past decade, KingNet has supported its operations through a three-pronged business model of research and development, publishing, and investment + IP, launching 100+ high-quality games to date. Web3's building has been ongoing for nearly two years. We have established a brand-new game studio SmileCobra Studio , and establish long-term cooperative relationships with some big guys like TON 💎 BNB Chain Solana Scroll Delphinus Lab ($ZKWASM) Cocos Studio and others. However, after speaking with many developers, we found that before a real user consumption scenario is formed, one of the main challenges many teams face is how to reduce game development costs. So it's best time to learn about Xingyi AI model : the first AI industrialization pipeline, making game production truly "automated". Check here: What problem we want to solve? 1. High Production Costs: Traditional animation design and refinement can cost anywhere from several thousand to tens of thousands of dollars, making it difficult for small startup teams to afford. 2. Long Development Cycles: The fluidity and consistency of animations have always been one of the most time-consuming aspects of development. Designers often spend weeks to achieve a satisfactory result. With Xingyi, it only takes a few steps and minutes to generate the desired animation. 3. Inefficient Collaboration: In the past, game development was usually divided into multiple stages, each managed by independent teams responsible for art, planning, programming, and other roles. The smooth transition between stages relied on high levels of team collaboration and communication. The Xingyi toolchain breaks the traditional division of labor, promoting automation and collaboration across various stages. 4. Automated but Not Passive: Outside of the automated processes, developers are the true creators of the game. Xingyi makes prototype validation and adjustments more scientific and efficient. We will gradually open source the underlying model of Xingyi and make it available to interested collaboration developers (DM is open). We have already made various agent material generation available, and you can try it now: Finally, we would like to discuss a point that many people are concerned about, why was there a launch at @pumpdotfun and it was abandoned? The most important reason is that we lacked experience in the first launch and were affected by snipers and the market. We conducted wallet statistics and found that, excluding bots, a total of 25 addresses suffered a loss of approximately 17 sol. We will use the trading fee of Launch Coin on Believe to airdrop these accounts and apologize again for our mistake. Also, thank you to Launch Coin on Believe for the smooth launch and long-term creative sharing with the builders, only $KNET CA is : CfVs3waH2Z9TM397qSkaipTDhA9wWgtt8UchZKfwkYiu $KNET not representing any equity interests of the parent company , $KNET is a meme, but at the same time, it’s not just a meme. $KNET will play a key role in the consumption scenarios of the KingnetAI ecosystem—imagine having to continuously spend $KNET each time you generate the game modules you want. Gamefi is died？ NO, AI-Gaming just begain here .

Kingnet AI

187,843 просмотров • 1 год назад

Hyperspace: The Agentic OS Apple Should Have Built On December 19th, 2024, we announced the world’s first Agentic Browser. What followed was a movement — a new category was born which led to many early products in this space and recently the hundreds of people lining up outside the The Agentic Browser Summit in San Francisco underscored that. Silicon Valley instinctively gets it, from students to tech executives, people can feel a revolutionary new change in computing is in the air. Past year taught us why such a product was inevitable, a hard engineering effort, and also the last mover in the entire software world this decade if and when done right. All paths are headed in the same direction: one tool which orchestrates them all. At Hyperspace we showed that path with essays and products we launched in earlier months: from a spatial UI of orchestrating agents, to showcasing transparent activity in how the AI system operates which leads to user trust, to presenting the software end-game, which massively improves human productivity. We also built the world’s largest AI network, drawing participation from people in almost 6000 cities around the world contributing their machines as nodes in the network. Think Uber, but for AI. That is, planetary-scale. And now we are stretching this industry ambition further with our end-to-end vision of the Agentic Supercomputer, the first breakthrough new AI OS, and an effort which spans from AI research to distributed systems to inventing a new UI to inventing a new business model to complement it. All of this together helps us in serving our mission, of delivering “Everyone’s Personal Supercomputer”. While others have built AI-native browsers, no one though has built something agentic from the ground up — with AI as the foundation, not a feature. How do you fundamentally improve the lives’ of billions around the world ? We believe that requires building a native environment for agents to be viewed, created, deployed, executed, discovered and priced in. That is a world where we move on from static apps, to dynamic agents. But, as my 2 year old niece likes to ask: “but why ?” The issue is that the world of software today is fragmented, and everyone is sprinkling on AI as a feature and charging a subscription fees for it. From browser makers, to IDEs, to design and other productivity tools. This leads to a fragmented UX, where people have to learn to use AI in each app, their memory and other context is not shared between all these apps, and they also have to pay separately for compute for each such AI-enhanced app. Each app maker has to figure out basics such as compute, and leads to the issues we saw with Cursor pricing recently. This is not the future. What if AI was the foundation instead of a feature ? What if Apple had built a fundamentally new AI OS from the ground up and what would it have looked like ? At Hyperspace, that is what we did. On July 15th we introduced three breakthrough key pillars of our AI OS: 1. Agentic Browser 2. Agentic Memory 3. Agentic Payments And we didn’t stop there. We also introduced a breakthrough new user interface called the Spatial AI which is inspired both from the spreadsheet and the HyperCard - each card is an agent, with it’s own inputs and outputs, endlessly extensible and pluggable with others, just like cells of a spreadsheet. Update one cell and all the dependents update, like a spreadsheet formula. It goes beyond a static linear workflow to being able to operate in all directions. This revolutionary new interface helps manage all of the below: 1. Multiple websites being browsed in parallel 2. Multiple desktop apps being browsed in parallel 3. Multiple server tools being used in parallel 4. Multiple smartphone apps streamed to your device or opened via an emulator All the software which you need comes together in this one seamless, agent-native interface. This interface provides you access to the largest network of models, vectors, agents and compute on the planet. The Browser. The IDE. The Notepad… they are not separate products: they are all in one, the Agentic Browser. As Steve Jobs famously said at the iPhone announcement, “are you getting it ?” And beneath this UI lies a new intelligence routing layer — leveraging both swarms of specialized models to the Hyperspace Matrix model that recalls thousands of tools in real-time, not by context window hacks, but through retrieval, ranking, and reuse. To many, this will feel like AGI. Not one big system by one big company, but an intelligent network. Now lets talk about privacy… Are you comfortable with one company owning all your memory forever ? I am not. So we have invented Agentic Memory as a new open protocol which provides full power over memory to you, the user. Your memory is yours, encrypted, on your device, and portable if and how you want. Anyone can build on it without our permission, but not without your permission. This protocol, and the decentralized vector database spread out across the world, would enable apps and agents to share context and memory. Think copy-paste, but for the AI world. It doesn’t just remember — it knows what matters. VectorRank helps your AI weigh your life’s most relevant moments over time, just like the way our minds elevate memories. Now each time you use an agent, your experience with other agents will also continuously improve: you don’t have to keep repeating the same things about yourself, while fully preserving your privacy. Agentic Memory is accessible within the Agentic Browser to manage. And there is one more thing… AI as the foundation requires compute to be available at the base layer, but this base layer spans models running on your own device, to cloud APIs, to also running across the peer-to-peer distributed network. Agentic Payments provides a singular interface to all of that compute, running a spot auction clearing marketplace every second to determine the fair price of compute. This results in price transparency, and you as the user paying the lowest possible cost. If you want predictability, you can reserve compute in advance. This end-to-end system provides the most streamlined world for agents to operate in. In order to enable this world and the world of agents being able to pay each other in sub-cent increments millions of times a second, we had to also invent a fundamentally new agentic micropayments blockchain. All of this together would enable a world where you as a user, or the agent itself, can efficiently call and utilize other agents built by others and also pay for content which is unique and useful. This enables a move away from the current AI exploitative economy for bloggers and other content creators, to a web with a fundamental new business model. Earlier we didn’t have the right infrastructure to enable such a world. Now, all the dots connect. The Hyperspace AI OS would give the power of a supercomputer in everyone’s hands. This isn’t a browser, or an IDE or limited to any device or cloud. It’s an entire AI operating system — with a breakthrough new spatial UI, local and distributed compute, agentic memory, agentic payments, and orchestration built into the foundation. As a user, we move the choice back in your hands with an experience you will love and find delightful. You get to choose the level of privacy, cost, and utility you want. And while Apple should have done it, we could not wait, and we feel this just required a new level of passion and DNA which we bring here. We are just getting started. Thank you, Varun Mathur Cofounder and CEO, Hyperspace cc Naval Marc Andreessen 🇺🇸 Vinod Khosla Andrej Karpathy Sam Altman
2:52

Hyperspace: The Agentic OS Apple Should Have Built On December 19th, 2024, we announced the world’s first Agentic Browser. What followed was a movement — a new category was born which led to many early products in this space and recently the hundreds of people lining up outside the The Agentic Browser Summit in San Francisco underscored that. Silicon Valley instinctively gets it, from students to tech executives, people can feel a revolutionary new change in computing is in the air. Past year taught us why such a product was inevitable, a hard engineering effort, and also the last mover in the entire software world this decade if and when done right. All paths are headed in the same direction: one tool which orchestrates them all. At Hyperspace we showed that path with essays and products we launched in earlier months: from a spatial UI of orchestrating agents, to showcasing transparent activity in how the AI system operates which leads to user trust, to presenting the software end-game, which massively improves human productivity. We also built the world’s largest AI network, drawing participation from people in almost 6000 cities around the world contributing their machines as nodes in the network. Think Uber, but for AI. That is, planetary-scale. And now we are stretching this industry ambition further with our end-to-end vision of the Agentic Supercomputer, the first breakthrough new AI OS, and an effort which spans from AI research to distributed systems to inventing a new UI to inventing a new business model to complement it. All of this together helps us in serving our mission, of delivering “Everyone’s Personal Supercomputer”. While others have built AI-native browsers, no one though has built something agentic from the ground up — with AI as the foundation, not a feature. How do you fundamentally improve the lives’ of billions around the world ? We believe that requires building a native environment for agents to be viewed, created, deployed, executed, discovered and priced in. That is a world where we move on from static apps, to dynamic agents. But, as my 2 year old niece likes to ask: “but why ?” The issue is that the world of software today is fragmented, and everyone is sprinkling on AI as a feature and charging a subscription fees for it. From browser makers, to IDEs, to design and other productivity tools. This leads to a fragmented UX, where people have to learn to use AI in each app, their memory and other context is not shared between all these apps, and they also have to pay separately for compute for each such AI-enhanced app. Each app maker has to figure out basics such as compute, and leads to the issues we saw with Cursor pricing recently. This is not the future. What if AI was the foundation instead of a feature ? What if Apple had built a fundamentally new AI OS from the ground up and what would it have looked like ? At Hyperspace, that is what we did. On July 15th we introduced three breakthrough key pillars of our AI OS: 1. Agentic Browser 2. Agentic Memory 3. Agentic Payments And we didn’t stop there. We also introduced a breakthrough new user interface called the Spatial AI which is inspired both from the spreadsheet and the HyperCard - each card is an agent, with it’s own inputs and outputs, endlessly extensible and pluggable with others, just like cells of a spreadsheet. Update one cell and all the dependents update, like a spreadsheet formula. It goes beyond a static linear workflow to being able to operate in all directions. This revolutionary new interface helps manage all of the below: 1. Multiple websites being browsed in parallel 2. Multiple desktop apps being browsed in parallel 3. Multiple server tools being used in parallel 4. Multiple smartphone apps streamed to your device or opened via an emulator All the software which you need comes together in this one seamless, agent-native interface. This interface provides you access to the largest network of models, vectors, agents and compute on the planet. The Browser. The IDE. The Notepad… they are not separate products: they are all in one, the Agentic Browser. As Steve Jobs famously said at the iPhone announcement, “are you getting it ?” And beneath this UI lies a new intelligence routing layer — leveraging both swarms of specialized models to the Hyperspace Matrix model that recalls thousands of tools in real-time, not by context window hacks, but through retrieval, ranking, and reuse. To many, this will feel like AGI. Not one big system by one big company, but an intelligent network. Now lets talk about privacy… Are you comfortable with one company owning all your memory forever ? I am not. So we have invented Agentic Memory as a new open protocol which provides full power over memory to you, the user. Your memory is yours, encrypted, on your device, and portable if and how you want. Anyone can build on it without our permission, but not without your permission. This protocol, and the decentralized vector database spread out across the world, would enable apps and agents to share context and memory. Think copy-paste, but for the AI world. It doesn’t just remember — it knows what matters. VectorRank helps your AI weigh your life’s most relevant moments over time, just like the way our minds elevate memories. Now each time you use an agent, your experience with other agents will also continuously improve: you don’t have to keep repeating the same things about yourself, while fully preserving your privacy. Agentic Memory is accessible within the Agentic Browser to manage. And there is one more thing… AI as the foundation requires compute to be available at the base layer, but this base layer spans models running on your own device, to cloud APIs, to also running across the peer-to-peer distributed network. Agentic Payments provides a singular interface to all of that compute, running a spot auction clearing marketplace every second to determine the fair price of compute. This results in price transparency, and you as the user paying the lowest possible cost. If you want predictability, you can reserve compute in advance. This end-to-end system provides the most streamlined world for agents to operate in. In order to enable this world and the world of agents being able to pay each other in sub-cent increments millions of times a second, we had to also invent a fundamentally new agentic micropayments blockchain. All of this together would enable a world where you as a user, or the agent itself, can efficiently call and utilize other agents built by others and also pay for content which is unique and useful. This enables a move away from the current AI exploitative economy for bloggers and other content creators, to a web with a fundamental new business model. Earlier we didn’t have the right infrastructure to enable such a world. Now, all the dots connect. The Hyperspace AI OS would give the power of a supercomputer in everyone’s hands. This isn’t a browser, or an IDE or limited to any device or cloud. It’s an entire AI operating system — with a breakthrough new spatial UI, local and distributed compute, agentic memory, agentic payments, and orchestration built into the foundation. As a user, we move the choice back in your hands with an experience you will love and find delightful. You get to choose the level of privacy, cost, and utility you want. And while Apple should have done it, we could not wait, and we feel this just required a new level of passion and DNA which we bring here. We are just getting started. Thank you, Varun Mathur Cofounder and CEO, Hyperspace cc Naval Marc Andreessen 🇺🇸 Vinod Khosla Andrej Karpathy Sam Altman

Varun

169,177 просмотров • 1 год назад

After hours of in-depth research, countless data points, and analyzing every major shift in the crypto space, we’ve finally added the finishing touch to the 𝗧𝗿𝗮𝗱𝗲𝗗𝗼𝗴 𝗖𝗿𝘆𝗽𝘁𝗼 𝗢𝘂𝘁𝗹𝗼𝗼𝗸 2025 report. This report is the pulse of the market right now. It’s time to harness these insights and position yourself for success. 👉 Dive into the Crypto Outlook 2025 report now and take the lead in the next wave of #crypto innovation. Read more here - This isn’t an average report that recycles headlines. It’s a deep dive to help you understand the forces already shaping the #crypto world. This report is a must-read for #investors, #enthusiasts, and anyone curious about the future of crypto. 𝗛𝗲𝗿𝗲’𝘀 𝗮 𝗹𝗶𝘁𝘁𝗹𝗲 𝘀𝗻𝗲𝗮𝗸-𝗽𝗲𝗲𝗸 𝗶𝗻𝘁𝗼 𝘄𝗵𝗮𝘁 𝗮𝘄𝗮𝗶𝘁𝘀 𝗶𝗻𝘀𝗶𝗱𝗲 𝘁𝗵𝗲 𝗧𝗿𝗮𝗱𝗲𝗗𝗼𝗴 𝗖𝗿𝘆𝗽𝘁𝗼 𝗢𝘂𝘁𝗹𝗼𝗼𝗸 2025: 🔗Solana Leads with $137 Bn Market Cap as #Memecoin Supercycle Peaks - Platforms like and viral tokens such as $PNUT generated significant market momentum, driving billions in market value. 🤖 AI x #Web3 Integration: $70 Bn Market Cap Surge in 2024 AI-powered Web3 projects soared by 350% to a combined $70 Bn market cap, with AI agents reshaping trading, governance and applications across sectors. 🌉 Rise of #DePINs (Decentralized Physical Infrastructure Networks): $30 Bn Market Cap DePIN hit $30 Bn, driving six-figure revenues for top protocols. 🚀 Bitcoin Hits $108K #ETFs fuel institutional adoption, pushing the market to $2 Tn, while #Bitcoin Layer 2 solutions emerge as game-changers. ⚙️ #Ethereum’s Dencun Upgrade Slashes Layer 2 Gas Fees by 90% Blobs and scalability upgrades further solidified Ethereum’s leadership in the market. 📈 #DeFi Renaissance: TVL Soars to $134 Bn Led by Liquid Staking Pendle and #Hyperliquid redefined yield and derivatives in the crypto space. 🖼️ #NFT Evolution: $10.2 Bn Market Cap with Utility Beyond Collectibles Pudgy Penguins emerged as a leader as NFTs pivoted toward gaming, RWAs, and utility-driven economies. 𝗧𝗵𝗲 𝗯𝗶𝗴 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻𝘀 𝗳𝗼𝗿 2025: - Will #memecoins become sustainable or fizzle out under scrutiny? - How will #AI agents change the crypto ecosystems? - What opportunities will #RWAs unlock for investors and institutions? - Will #Ethereum maintain its dominance as new challengers emerge? Big shoutout to the contributors Nicolai Søndergaard || Aurelie Barthere || Arto Bendiken || Jaou T || Gabby Dizon | YGG || Dimitrios Kavvathas || Louis Guthmann zk/acc || Andrew Berkowitz || July Grullon || Team HTX || Kenneth Jin || Muhammad Ibrahim || Petr || Sujit Roy || Preetam📍NYC 🇺🇲 || Karn || Keerthan Shetty || Jad || Pd (zoth)#stablecoinbanking || Alex Golding || Lenna Rage Effect || ValuesCo || Huma Finance || StarkWare 🥷 || Nansen 🧭 || Delphi Ventures || QuillAudits 🥷 || Ithaca Protocol || Yield Guild Games || Zoth || Superscrypt || Black Alpha Capital || Web3Port || @Mizzle_io || Joan Edwards || NettyWorth || Single Broker || Clay Nation || BrainAlive AI || DeFa 👾 || ASIMOV || Paycio || IntoTheBlock || Footprint Analytics
0:20

After hours of in-depth research, countless data points, and analyzing every major shift in the crypto space, we’ve finally added the finishing touch to the 𝗧𝗿𝗮𝗱𝗲𝗗𝗼𝗴 𝗖𝗿𝘆𝗽𝘁𝗼 𝗢𝘂𝘁𝗹𝗼𝗼𝗸 2025 report. This report is the pulse of the market right now. It’s time to harness these insights and position yourself for success. 👉 Dive into the Crypto Outlook 2025 report now and take the lead in the next wave of #crypto innovation. Read more here - This isn’t an average report that recycles headlines. It’s a deep dive to help you understand the forces already shaping the #crypto world. This report is a must-read for #investors, #enthusiasts, and anyone curious about the future of crypto. 𝗛𝗲𝗿𝗲’𝘀 𝗮 𝗹𝗶𝘁𝘁𝗹𝗲 𝘀𝗻𝗲𝗮𝗸-𝗽𝗲𝗲𝗸 𝗶𝗻𝘁𝗼 𝘄𝗵𝗮𝘁 𝗮𝘄𝗮𝗶𝘁𝘀 𝗶𝗻𝘀𝗶𝗱𝗲 𝘁𝗵𝗲 𝗧𝗿𝗮𝗱𝗲𝗗𝗼𝗴 𝗖𝗿𝘆𝗽𝘁𝗼 𝗢𝘂𝘁𝗹𝗼𝗼𝗸 2025: 🔗Solana Leads with $137 Bn Market Cap as #Memecoin Supercycle Peaks - Platforms like and viral tokens such as $PNUT generated significant market momentum, driving billions in market value. 🤖 AI x #Web3 Integration: $70 Bn Market Cap Surge in 2024 AI-powered Web3 projects soared by 350% to a combined $70 Bn market cap, with AI agents reshaping trading, governance and applications across sectors. 🌉 Rise of #DePINs (Decentralized Physical Infrastructure Networks): $30 Bn Market Cap DePIN hit $30 Bn, driving six-figure revenues for top protocols. 🚀 Bitcoin Hits $108K #ETFs fuel institutional adoption, pushing the market to $2 Tn, while #Bitcoin Layer 2 solutions emerge as game-changers. ⚙️ #Ethereum’s Dencun Upgrade Slashes Layer 2 Gas Fees by 90% Blobs and scalability upgrades further solidified Ethereum’s leadership in the market. 📈 #DeFi Renaissance: TVL Soars to $134 Bn Led by Liquid Staking Pendle and #Hyperliquid redefined yield and derivatives in the crypto space. 🖼️ #NFT Evolution: $10.2 Bn Market Cap with Utility Beyond Collectibles Pudgy Penguins emerged as a leader as NFTs pivoted toward gaming, RWAs, and utility-driven economies. 𝗧𝗵𝗲 𝗯𝗶𝗴 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻𝘀 𝗳𝗼𝗿 2025: - Will #memecoins become sustainable or fizzle out under scrutiny? - How will #AI agents change the crypto ecosystems? - What opportunities will #RWAs unlock for investors and institutions? - Will #Ethereum maintain its dominance as new challengers emerge? Big shoutout to the contributors Nicolai Søndergaard || Aurelie Barthere || Arto Bendiken || Jaou T || Gabby Dizon | YGG || Dimitrios Kavvathas || Louis Guthmann zk/acc || Andrew Berkowitz || July Grullon || Team HTX || Kenneth Jin || Muhammad Ibrahim || Petr || Sujit Roy || Preetam📍NYC 🇺🇲 || Karn || Keerthan Shetty || Jad || Pd (zoth)#stablecoinbanking || Alex Golding || Lenna Rage Effect || ValuesCo || Huma Finance || StarkWare 🥷 || Nansen 🧭 || Delphi Ventures || QuillAudits 🥷 || Ithaca Protocol || Yield Guild Games || Zoth || Superscrypt || Black Alpha Capital || Web3Port || @Mizzle_io || Joan Edwards || NettyWorth || Single Broker || Clay Nation || BrainAlive AI || DeFa 👾 || ASIMOV || Paycio || IntoTheBlock || Footprint Analytics

TradeDog | Crypto Market Research

16,587 просмотров • 1 год назад

Tarkov TV had so much info again.. Summarized down as much as possible. ---------------------------- Icebreaker Event is very soon in May, with new boss Rebalancing the game more for newbies and veterans who left more approachable - Prestige easier (image 1) - Indication for quest Quest Finder Assistant Item Direction Proxy (video 1) - Hideout starting LVL lower - Insurance faster recover - Traders will be reworked for reputations, more affected by quests branches, Trader inventories will be reworked - Quests which were harder will change more user friendly Completing Quest together, Sharing Kill progression if you and teammate have same quests. More support packages for beginners 'Welcome Back' Bonus Program Death CAM Item. - From Teammate POV Only GPS System which will show direction & approximately where you are at Squad Size to 4 LIMIT - No more 5 Man Factory & LABYRINTH Overall making new player friendly --- Episode-Based Mobile Single Player Game in Tarkov Universe being developed Console for EFT --- Special perks for Unheard Edition only - GIVE EXP BOOST TO TEAMMATES - USEC BEAR COSMETIC CAN BE SWAPPED between factions --- IN-GAME EVENT SHORELINE after Icebreaker INGAME EVENT ICEBREAKER AND TEASER NUCLEAR POWERED ICEBREAKER WITH RADIATION (video 2) --- May TWITCH DROPS (image 2) More APPAREL (image in reply) Upcoming streamer challenge for 'small' streamers up to 250~ viewers --- JUNE Big EVENT LIGHTHOUSE overhaul for BETTER, LITTLE EXPANSION, ENEMY CHANGE, LOOT CHANGE In-game Store coming, with new currency (no p2w stuff, just cosmetics) you use Tarcoin that you loot from game, or buy tarcoin currency with irl money (image in reply) ------- July Event on old factory ---- July or earlier Seasonal character season 1 - Kord Breach Season modifiers global & personal - Perks will be like a RPG Skill system can allow players to get Kappa right at the start, limit flea market, etc. (image in reply) Season Reward is Black Division outfit new gear, weapons, quests, modifiers, perks, etc. -> every season will be different/unique ------- QBZ Gun (image in reply) Famas in production --- after Seasonal character season 1, New Streamer items get added wild wild woods Event Unity 6, FSR 4.0 weekly based event system (every single weekend something special) ----- around end of year Big Halloween event (previous zombie event but bigger and better) ----- HUGGGEEE MAP which they were working for year. Two locations (as far as i understood, there's one map and another which is end of line) & END OF LINE UNDERGROUND NUCLEAR POWER PLANT (images in reply) --- GUN CYCLOPEDIA FREE GAME - For customization and Testing of Guns MAYBE even VR (image in reply) ---- On the Second season Clan system DLC Scav Life DLC alive - unconscious - dead states and healing for being knocked-out AI idle animations Special Containers with Presets to equip yourself faster with loadouts ability to skip prestige requirements for in-game currency transparent magazines free pve weekends skill system overhaul night raid overhaul - with different bonuses, loot, maybe even Black division roaming Mod support --- MAKING TV SERIES LIKE CHRONICLES OF RHYZZY PVE WILL HAVE TO still RESET FOR TERMINAL
0:33

Tarkov TV had so much info again.. Summarized down as much as possible. ---------------------------- Icebreaker Event is very soon in May, with new boss Rebalancing the game more for newbies and veterans who left more approachable - Prestige easier (image 1) - Indication for quest Quest Finder Assistant Item Direction Proxy (video 1) - Hideout starting LVL lower - Insurance faster recover - Traders will be reworked for reputations, more affected by quests branches, Trader inventories will be reworked - Quests which were harder will change more user friendly Completing Quest together, Sharing Kill progression if you and teammate have same quests. More support packages for beginners 'Welcome Back' Bonus Program Death CAM Item. - From Teammate POV Only GPS System which will show direction & approximately where you are at Squad Size to 4 LIMIT - No more 5 Man Factory & LABYRINTH Overall making new player friendly --- Episode-Based Mobile Single Player Game in Tarkov Universe being developed Console for EFT --- Special perks for Unheard Edition only - GIVE EXP BOOST TO TEAMMATES - USEC BEAR COSMETIC CAN BE SWAPPED between factions --- IN-GAME EVENT SHORELINE after Icebreaker INGAME EVENT ICEBREAKER AND TEASER NUCLEAR POWERED ICEBREAKER WITH RADIATION (video 2) --- May TWITCH DROPS (image 2) More APPAREL (image in reply) Upcoming streamer challenge for 'small' streamers up to 250~ viewers --- JUNE Big EVENT LIGHTHOUSE overhaul for BETTER, LITTLE EXPANSION, ENEMY CHANGE, LOOT CHANGE In-game Store coming, with new currency (no p2w stuff, just cosmetics) you use Tarcoin that you loot from game, or buy tarcoin currency with irl money (image in reply) ------- July Event on old factory ---- July or earlier Seasonal character season 1 - Kord Breach Season modifiers global & personal - Perks will be like a RPG Skill system can allow players to get Kappa right at the start, limit flea market, etc. (image in reply) Season Reward is Black Division outfit new gear, weapons, quests, modifiers, perks, etc. -> every season will be different/unique ------- QBZ Gun (image in reply) Famas in production --- after Seasonal character season 1, New Streamer items get added wild wild woods Event Unity 6, FSR 4.0 weekly based event system (every single weekend something special) ----- around end of year Big Halloween event (previous zombie event but bigger and better) ----- HUGGGEEE MAP which they were working for year. Two locations (as far as i understood, there's one map and another which is end of line) & END OF LINE UNDERGROUND NUCLEAR POWER PLANT (images in reply) --- GUN CYCLOPEDIA FREE GAME - For customization and Testing of Guns MAYBE even VR (image in reply) ---- On the Second season Clan system DLC Scav Life DLC alive - unconscious - dead states and healing for being knocked-out AI idle animations Special Containers with Presets to equip yourself faster with loadouts ability to skip prestige requirements for in-game currency transparent magazines free pve weekends skill system overhaul night raid overhaul - with different bonuses, loot, maybe even Black division roaming Mod support --- MAKING TV SERIES LIKE CHRONICLES OF RHYZZY PVE WILL HAVE TO still RESET FOR TERMINAL

VeryBadSCAV

335,014 просмотров • 3 месяцев назад