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AlphaChip proved that AI chip design can be creative. More curvy, organic looking, inspired by nature. Not Manhattan grid-like structures that humans tend to design. But it took time for Ricursive Intelligence founders Anna Goldie and Azalia Mirhoseini to earn the trust of the TPU team - designs that... show more

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24,820 görüntüleme • 6 ay önce •via X (Twitter)

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Elon Musk predicts that AI will surpass the total intelligence of all humans within five to six years. Eventually, human intelligence may represent less than 1% of all intelligence in existence. In that future, humans likely won’t be in control but we can guide AI by instilling the right values. Our goal should be to shape AI so it seeks knowledge and helps humanity continue to thrive.

Elon Musk predicts that AI will surpass the total intelligence of all humans within five to six years. Eventually, human intelligence may represent less than 1% of all intelligence in existence. In that future, humans likely won’t be in control but we can guide AI by instilling the right values. Our goal should be to shape AI so it seeks knowledge and helps humanity continue to thrive.

Wes Roth

58,797 görüntüleme • 5 ay önce

The most complete AI design skill stack is now in Open Design. AI agents can build full apps. But most of them still design like shit. You used to spend more time fixing the design than building the app. And prompting harder does not fix taste. So Open Design integrated the design skills everyone on X is talking about: Taste Skill Hallmark Frontend Design Image-to-Code Design Review 100+ design systems It works locally with 20+ AI CLIs: Codex, Claude Code, Cursor, Gemini CLI, OpenCode, and more. Pick your agent. Generate pages that finally have taste. 👉

The most complete AI design skill stack is now in Open Design. AI agents can build full apps. But most of them still design like shit. You used to spend more time fixing the design than building the app. And prompting harder does not fix taste. So Open Design integrated the design skills everyone on X is talking about: Taste Skill Hallmark Frontend Design Image-to-Code Design Review 100+ design systems It works locally with 20+ AI CLIs: Codex, Claude Code, Cursor, Gemini CLI, OpenCode, and more. Pick your agent. Generate pages that finally have taste. 👉

Open Design

52,206 görüntüleme • 2 ay önce

The realization over the last two extensions has come home to roost. There is not going to be a purchase of TikTok with the Chinese algorithm. We know that we can't buy the algorithm so we're gonna have to rewrite this whole thing, but while we're doing that, we're gonna try and solve for all the litigation that social media gets all stemming from the fact that the platform owns the data and the customer doesn't. I think we're gonna have to fix that. So our proposal is to fix that and not use the Chinese algorithm. When you issue a chip, let's say you take an NVIDIA chip, that chip is a queen bee. It sits in the center of the hive and every programmer that uses that chip is the honeybee. It spends millions of hours training on that chip, learning that chip, writing code for that chip and developing AI for that chip. That's the honey. There's only gonna be two kinds of honey on Earth. American or Chinese. Now if you want the world to be running on Chinese honey, stop shipping American queen bee chips, and that is what is happening right now.

The realization over the last two extensions has come home to roost. There is not going to be a purchase of TikTok with the Chinese algorithm. We know that we can't buy the algorithm so we're gonna have to rewrite this whole thing, but while we're doing that, we're gonna try and solve for all the litigation that social media gets all stemming from the fact that the platform owns the data and the customer doesn't. I think we're gonna have to fix that. So our proposal is to fix that and not use the Chinese algorithm. When you issue a chip, let's say you take an NVIDIA chip, that chip is a queen bee. It sits in the center of the hive and every programmer that uses that chip is the honeybee. It spends millions of hours training on that chip, learning that chip, writing code for that chip and developing AI for that chip. That's the honey. There's only gonna be two kinds of honey on Earth. American or Chinese. Now if you want the world to be running on Chinese honey, stop shipping American queen bee chips, and that is what is happening right now.

Kevin O'Leary aka Mr. Wonderful

43,532 görüntüleme • 1 yıl önce

🚨 Jensen Huang says everyone panicked about the AI data when MOST training data was never REAL to begin with. Ilya Sutskever told the industry pre-training was over. "Ilya said, 'We're out of data,' or something like that. 'Pre-training is over,' or something like that," Huang says. "The industry panicked, you know, that this is the end of AI." "And of course, of course that's obviously not true. We're gonna keep on scaling the amount of data that we have to train with." "A lot of that data is probably gonna be synthetic." That's where the panic came from — synthetic data sounds like cheating. "Most of the data that we are training, that we teach each other with, inform each other with, is synthetic." "It's synthetic because it didn't come out of nature." "You created it. I'm consuming it. I modify it, augment it, I regenerate it, somebody else consumes it." The textbook in your hand is synthetic. The post you're reading is synthetic. The lecture you took is synthetic. Nature didn't make any of it. Humans did. AI just learned to do the same thing — faster. "Training is now limited by compute," Huang says. "Data is now limited by compute." The data wall wasn't a wall. It was a mirror. If you're new here, follow @AiEvolutio for the latest on ChatGPT, Claude, and the AI tools shaping how we work and create. — Jensen Huang ( NVIDIA ), NVIDIA CEO, on Lex Fridman's ( Lex Fridman ) podcast

🚨 Jensen Huang says everyone panicked about the AI data when MOST training data was never REAL to begin with. Ilya Sutskever told the industry pre-training was over. "Ilya said, 'We're out of data,' or something like that. 'Pre-training is over,' or something like that," Huang says. "The industry panicked, you know, that this is the end of AI." "And of course, of course that's obviously not true. We're gonna keep on scaling the amount of data that we have to train with." "A lot of that data is probably gonna be synthetic." That's where the panic came from — synthetic data sounds like cheating. "Most of the data that we are training, that we teach each other with, inform each other with, is synthetic." "It's synthetic because it didn't come out of nature." "You created it. I'm consuming it. I modify it, augment it, I regenerate it, somebody else consumes it." The textbook in your hand is synthetic. The post you're reading is synthetic. The lecture you took is synthetic. Nature didn't make any of it. Humans did. AI just learned to do the same thing — faster. "Training is now limited by compute," Huang says. "Data is now limited by compute." The data wall wasn't a wall. It was a mirror. If you're new here, follow @AiEvolutio for the latest on ChatGPT, Claude, and the AI tools shaping how we work and create. — Jensen Huang ( NVIDIA ), NVIDIA CEO, on Lex Fridman's ( Lex Fridman ) podcast

AI Evolution

15,565 görüntüleme • 2 ay önce

Billions CEO Evin McMullen evin interviewed by HoC Founder Diederick Jacobs at House of Chimera Spaces Event Dec 3, 2025 Diederick: There's a lot of privacy issues with AI. Your data obviously is being used, that's one. But more importantly it can be used against you and that is very scary. How do we determine who we can trust and who we cannot trust? Because across history, sometimes parties switch. Evin: How do we determine roots of trust? Who are the entities who we trust? That is not really a technical question, that is more of a social and philosophical question. But as the basis for roots of trust, one of the most expressive and specific entities who we look to are the issuers of government documents. With Billions Network, we have integrated with more than 100 different government ID systems around the world to make it easy for citizens to do things like take their passport, tap it to their phone, pull the data out of the NFC chip in their passport, and be able to represent that in a privacy preserving and compliant way to different applications onchain and online.

Billions CEO Evin McMullen evin interviewed by HoC Founder Diederick Jacobs at House of Chimera Spaces Event Dec 3, 2025 Diederick: There's a lot of privacy issues with AI. Your data obviously is being used, that's one. But more importantly it can be used against you and that is very scary. How do we determine who we can trust and who we cannot trust? Because across history, sometimes parties switch. Evin: How do we determine roots of trust? Who are the entities who we trust? That is not really a technical question, that is more of a social and philosophical question. But as the basis for roots of trust, one of the most expressive and specific entities who we look to are the issuers of government documents. With Billions Network, we have integrated with more than 100 different government ID systems around the world to make it easy for citizens to do things like take their passport, tap it to their phone, pull the data out of the NFC chip in their passport, and be able to represent that in a privacy preserving and compliant way to different applications onchain and online.

Billions

64,955 görüntüleme • 7 ay önce

ELON: TESLA FUTURE'S HINGES ON THE AI5 CHIP PROJECT "The AI5 chip, which is going to be a great chip, all of Tesla hinges on that chip. That's the chip that is going into our next generation of self-driving cars, and it's also essential for the Optimus robot. So that chip program was in bad shape. It wasn't closing because it's quite an ambitious chip design, and it really wasn't on a path to success. And then we also had the Dojo program, which was doing okay but not on a path to be competitive with NVIDIA. So I collapsed the two programs into just one program, which is to get everyone focused on the AI5 chip, which is essential. Continue to use NVIDIA for training, but we need the AI5 inference chip, which is a very powerful chip, but it's also a very low-power chip. So it doesn't use a lot of power. Its performance per watt is extremely good. I think it's probably going to be at least 2 to 4 times better than NVIDIA performance per watt at the inference level in the car and the robot. And I don't know, 10% of the cost of an NVIDIA chip, something like that. So these are very important numbers to achieve." Source: Elon Musk, Baron Capital, Ron Baron, Tesla

ELON: TESLA FUTURE'S HINGES ON THE AI5 CHIP PROJECT "The AI5 chip, which is going to be a great chip, all of Tesla hinges on that chip. That's the chip that is going into our next generation of self-driving cars, and it's also essential for the Optimus robot. So that chip program was in bad shape. It wasn't closing because it's quite an ambitious chip design, and it really wasn't on a path to success. And then we also had the Dojo program, which was doing okay but not on a path to be competitive with NVIDIA. So I collapsed the two programs into just one program, which is to get everyone focused on the AI5 chip, which is essential. Continue to use NVIDIA for training, but we need the AI5 inference chip, which is a very powerful chip, but it's also a very low-power chip. So it doesn't use a lot of power. Its performance per watt is extremely good. I think it's probably going to be at least 2 to 4 times better than NVIDIA performance per watt at the inference level in the car and the robot. And I don't know, 10% of the cost of an NVIDIA chip, something like that. So these are very important numbers to achieve." Source: Elon Musk, Baron Capital, Ron Baron, Tesla

Mario Nawfal

225,142 görüntüleme • 8 ay önce

.Glinert 🇺🇸 🏭 (Co-Founder & CEO of Sphere Semi) on how they're using AI to change how chips are designed: “CPUs and GPUs get all the attention, but analog is a third of the trillion-dollar chip industry and it’s critical for communications, warfare, and more.” “We think human chip design is coming to an end. In analog, it’s still done by hand and we’re putting that to an end.”

.Glinert 🇺🇸 🏭 (Co-Founder & CEO of Sphere Semi) on how they're using AI to change how chips are designed: “CPUs and GPUs get all the attention, but analog is a third of the trillion-dollar chip industry and it’s critical for communications, warfare, and more.” “We think human chip design is coming to an end. In analog, it’s still done by hand and we’re putting that to an end.”

TBPN

58,731 görüntüleme • 10 ay önce

this was the most important bit of the ilya interview imo. humans are not AGI, and LLMs won’t become like humans with more scaling. humans lack a huge amount of knowledge and have insanely good “continual learning” powered by extremely good reward functions (except for addiction) that guide them. and so it’s more about the learning rather than knowledge. the term AGI was coined as a response to the narrow AI which was only capable of intelligence in a specific domain (chess, game, code, etc) but General intelligence is able to learn different topics because that’s what “learning” is about. pre-training was thought to be the solution to reaching AGI because you train AI on so many different topics. but they have “overshot” that target. amazing perspective.

this was the most important bit of the ilya interview imo. humans are not AGI, and LLMs won’t become like humans with more scaling. humans lack a huge amount of knowledge and have insanely good “continual learning” powered by extremely good reward functions (except for addiction) that guide them. and so it’s more about the learning rather than knowledge. the term AGI was coined as a response to the narrow AI which was only capable of intelligence in a specific domain (chess, game, code, etc) but General intelligence is able to learn different topics because that’s what “learning” is about. pre-training was thought to be the solution to reaching AGI because you train AI on so many different topics. but they have “overshot” that target. amazing perspective.

ℏεsam

53,444 görüntüleme • 8 ay önce

Perplexity CEO Aravind Srinivas on the biggest threat to the data center industry: It's not competition. It's not regulation. It's decentralisation. "The biggest threat to a data center is if the intelligence can be packed locally on a chip that's running on the device and then there's no need to inference all of it on like one centralized data center." He outlines how this could work in practice. Personalisation doesn't necessarily require on-device model training. Retrieval augmented generation, tool calls, and local data can already tailor AI to individual users. But the real unlock? Test time training. Aravind Srinivas describes a future where AI lives on your device, watches how you work and gradually automates your repetitive tasks. "Imagine we crack test time training where the AI watches tasks you repeatedly do on your local system, adapts to you over time and starts automating a lot of the things you do." The key insight: in this model, the intelligence belongs to you. It's your data, your device, your personalised AI brain. And if that future arrives, the economics of centralised infrastructure start to collapse. "That really disrupts the whole data center industry. It doesn't make sense to spend all this money, 500 billion, 5 trillion, whatever on building all the centralized data centers across the world that do a lot of the intelligence workloads for people." The companies spending trillions on centralised infrastructure may want to rethink where intelligence actually needs to live.

Perplexity CEO Aravind Srinivas on the biggest threat to the data center industry: It's not competition. It's not regulation. It's decentralisation. "The biggest threat to a data center is if the intelligence can be packed locally on a chip that's running on the device and then there's no need to inference all of it on like one centralized data center." He outlines how this could work in practice. Personalisation doesn't necessarily require on-device model training. Retrieval augmented generation, tool calls, and local data can already tailor AI to individual users. But the real unlock? Test time training. Aravind Srinivas describes a future where AI lives on your device, watches how you work and gradually automates your repetitive tasks. "Imagine we crack test time training where the AI watches tasks you repeatedly do on your local system, adapts to you over time and starts automating a lot of the things you do." The key insight: in this model, the intelligence belongs to you. It's your data, your device, your personalised AI brain. And if that future arrives, the economics of centralised infrastructure start to collapse. "That really disrupts the whole data center industry. It doesn't make sense to spend all this money, 500 billion, 5 trillion, whatever on building all the centralized data centers across the world that do a lot of the intelligence workloads for people." The companies spending trillions on centralised infrastructure may want to rethink where intelligence actually needs to live.

Big Brain AI

90,102 görüntüleme • 5 ay önce

$IREN CCO KENT DRAPER TALK ON AI GIGAFACTORIES $IREN CCO Kent Draper: We were ready for this moment [AI and HPC] and been exploring it for a number of years but the market wasn’t there to make it commercially viable. When the business was founded, our two co-founders have a background in large scale institutional infrastructure banking, and they could see this infliction in the industry where the world was becoming more data dependent. It was very obvious to them that we were going to need power-dense compute, particularly with access to renewables, which is a big part of our story. Design [of data centers] is the easy part. Delivering infrastructure at this scale is not simple. I think our minds this was never actually a pivot for us. Lenovo SVP Vlad Rozanovich: Time to first token is a metric that so many people like $IREN look at because it’s how you maximize value and profit as soon as you can. Daniel Newman: You can’t have a bubble and have AI eating every industry, either too good or not good.

$IREN CCO KENT DRAPER TALK ON AI GIGAFACTORIES $IREN CCO Kent Draper: We were ready for this moment [AI and HPC] and been exploring it for a number of years but the market wasn’t there to make it commercially viable. When the business was founded, our two co-founders have a background in large scale institutional infrastructure banking, and they could see this infliction in the industry where the world was becoming more data dependent. It was very obvious to them that we were going to need power-dense compute, particularly with access to renewables, which is a big part of our story. Design [of data centers] is the easy part. Delivering infrastructure at this scale is not simple. I think our minds this was never actually a pivot for us. Lenovo SVP Vlad Rozanovich: Time to first token is a metric that so many people like $IREN look at because it’s how you maximize value and profit as soon as you can. Daniel Newman: You can’t have a bubble and have AI eating every industry, either too good or not good.

The Tech Investor

25,559 görüntüleme • 4 ay önce

New technologies can be really disruptive to the labor market, but eventually new jobs emerge and things come back into balance. But could it be different this time with the rise of AI? Alex Imas joins Tracy Alloway and Joe Weisenthal on the Odd Lots podcast to discuss why the sheer speed of AI development could make it different from new technologies that came before it

New technologies can be really disruptive to the labor market, but eventually new jobs emerge and things come back into balance. But could it be different this time with the rise of AI? Alex Imas joins Tracy Alloway and Joe Weisenthal on the Odd Lots podcast to discuss why the sheer speed of AI development could make it different from new technologies that came before it

Bloomberg

30,165 görüntüleme • 3 ay önce

Hailey Van Lith on the Angel Reese trade. "Kind of like E said, it was something that you're surprised by, but also like it's the nature of the business and everyone's allowed to pursue their own personal endeavors and our team is allowed to pursue their endeavors and players are allowed to pursue their endeavors. So it's a trade-off and I hope the best for her and she deserves a place that she wants to be and it feels like that's a good environment for her. I'm really happy for her that she took that jump and looking forward to competing and playing against her today".

Hailey Van Lith on the Angel Reese trade. "Kind of like E said, it was something that you're surprised by, but also like it's the nature of the business and everyone's allowed to pursue their own personal endeavors and our team is allowed to pursue their endeavors and players are allowed to pursue their endeavors. So it's a trade-off and I hope the best for her and she deserves a place that she wants to be and it feels like that's a good environment for her. I'm really happy for her that she took that jump and looking forward to competing and playing against her today".

Chicago State of Mind Sports

157,967 görüntüleme • 3 ay önce

We did it again 🙌 We challenge ourselves for the second time to make the 2023 digital edition of ‘365, A year of Cartier’. Our mission was to breathe life into their Yearbook, transforming it into an engaging digital journey that highlight their content. A fusion of ingenuity, 3D elements, Motion design and creative coding. 6 immersive experiences built by a great team of designers and developers. The Result : More than 30 articles across 6 main chapters available in 3 languages (French, English and Chinese). Make sure to dive into the ‘Highlights’ section to not miss the interactive articles.

We did it again 🙌 We challenge ourselves for the second time to make the 2023 digital edition of ‘365, A year of Cartier’. Our mission was to breathe life into their Yearbook, transforming it into an engaging digital journey that highlight their content. A fusion of ingenuity, 3D elements, Motion design and creative coding. 6 immersive experiences built by a great team of designers and developers. The Result : More than 30 articles across 6 main chapters available in 3 languages (French, English and Chinese). Make sure to dive into the ‘Highlights’ section to not miss the interactive articles.

Hervé Studio

17,432 görüntüleme • 2 yıl önce

Meet BEACN Headset. 🎧✨ Creators shouldn’t have to compromise on audio. That belief drove us to rethink the headset from the ground up. In this deep dive, the BEACN team shares the vision, history, and technology behind our voice-first design, bringing broadcast-grade voice processing into a new era of communication. Watch the full story and discover what makes BEACN Headset different. Learn more about BEACN Headset at ✨

Meet BEACN Headset. 🎧✨ Creators shouldn’t have to compromise on audio. That belief drove us to rethink the headset from the ground up. In this deep dive, the BEACN team shares the vision, history, and technology behind our voice-first design, bringing broadcast-grade voice processing into a new era of communication. Watch the full story and discover what makes BEACN Headset different. Learn more about BEACN Headset at ✨

BEACN

12,467 görüntüleme • 3 ay önce

NEW: Elon Musk on AI and Robotics: "Assuming the current trend of artificial intelligence and robotics continues, the AI and robots will be able to do anything that that humans want them to do, but AI and robotics will be able to provide all the goods and services that anyone could possibly want. People will be able to wherever they want with their free time, work will be optional. If I could, I would certainly slow down AI and robotics, but I can't just seems to be well, it's advancing at a very rapid pace, whether I like it or not."

NEW: Elon Musk on AI and Robotics: "Assuming the current trend of artificial intelligence and robotics continues, the AI and robots will be able to do anything that that humans want them to do, but AI and robotics will be able to provide all the goods and services that anyone could possibly want. People will be able to wherever they want with their free time, work will be optional. If I could, I would certainly slow down AI and robotics, but I can't just seems to be well, it's advancing at a very rapid pace, whether I like it or not."

DogeDesigner

31,308 görüntüleme • 7 ay önce

some advice for designing tools in the age of ai: 1. embrace ambiguity — ai tools work best when you're comfortable with not having full control. leave room for emergence and surprise. 2. focus on the human-ai collaboration model — design the interaction patterns, not just the outputs. what's the back-and-forth like? how do humans guide the ai? 3. design for iteration, not perfection — ai outputs are rarely perfect the first time. design systems that make refinement natural and easy. 4. think in systems, not features — ai changes fast, so build adaptable foundations rather than specific implementations that will break. 5. protect against the uncanny valley — either make it obviously ai-generated or indistinguishable from human work. the middle ground feels weird. 6. consider the invisible costs — ai has computational, environmental, and social costs that aren't immediately visible but matter. 7. design for augmentation, not replacement — the best ai tools make humans more capable rather than trying to replace them. 8. build in feedback loops — systems that learn from user interactions get better over time. the thing is, we're all figuring this out together. the design patterns for ai are still being invented. it's like the early web days — exciting, messy, and full of possibilities.

some advice for designing tools in the age of ai: 1. embrace ambiguity — ai tools work best when you're comfortable with not having full control. leave room for emergence and surprise. 2. focus on the human-ai collaboration model — design the interaction patterns, not just the outputs. what's the back-and-forth like? how do humans guide the ai? 3. design for iteration, not perfection — ai outputs are rarely perfect the first time. design systems that make refinement natural and easy. 4. think in systems, not features — ai changes fast, so build adaptable foundations rather than specific implementations that will break. 5. protect against the uncanny valley — either make it obviously ai-generated or indistinguishable from human work. the middle ground feels weird. 6. consider the invisible costs — ai has computational, environmental, and social costs that aren't immediately visible but matter. 7. design for augmentation, not replacement — the best ai tools make humans more capable rather than trying to replace them. 8. build in feedback loops — systems that learn from user interactions get better over time. the thing is, we're all figuring this out together. the design patterns for ai are still being invented. it's like the early web days — exciting, messy, and full of possibilities.

Ryo Lu

30,781 görüntüleme • 1 yıl önce

Can AI actually automate jobs? Scale AI and are launching the Remote Labor Index (RLI), the first benchmark and public leaderboard that test how well AI agents can complete real, paid freelance work in domains like software engineering, design, architecture, data analysis, and more. Early results show the limits of today’s models. The top AI agent completed just 2.5% of real freelance jobs better than humans. AI is powerful, but not yet reliable enough to replace skilled labor. RLI gives us a transparent way to track progress over time and bring clarity to the future of work.

Can AI actually automate jobs? Scale AI and are launching the Remote Labor Index (RLI), the first benchmark and public leaderboard that test how well AI agents can complete real, paid freelance work in domains like software engineering, design, architecture, data analysis, and more. Early results show the limits of today’s models. The top AI agent completed just 2.5% of real freelance jobs better than humans. AI is powerful, but not yet reliable enough to replace skilled labor. RLI gives us a transparent way to track progress over time and bring clarity to the future of work.

Bing Liu

424,454 görüntüleme • 9 ay önce

Launching on Wednesday, Sept 25. Stay tuned! Right now, #AI is having a moment — and it’s not the first time grand predictions about the potential of machines are being made. But, what does it really mean to say something like ChatGPT is “intelligent”? What exactly is #intelligence? The next season of the #Complexity #podcast, 'The Nature of Intelligence', explores this question through conversations with cognitive and neuroscientists, animal cognition researchers, and AI experts in six episodes. Together, we'll investigate the complexities of human intelligence, how it compares to that of other species, and where AI fits in. We'll dive into the relationship between language and thought, examine AI's limitations, and ask: Could machines ever truly be like us?

Launching on Wednesday, Sept 25. Stay tuned! Right now, #AI is having a moment — and it’s not the first time grand predictions about the potential of machines are being made. But, what does it really mean to say something like ChatGPT is “intelligent”? What exactly is #intelligence? The next season of the #Complexity #podcast, 'The Nature of Intelligence', explores this question through conversations with cognitive and neuroscientists, animal cognition researchers, and AI experts in six episodes. Together, we'll investigate the complexities of human intelligence, how it compares to that of other species, and where AI fits in. We'll dive into the relationship between language and thought, examine AI's limitations, and ask: Could machines ever truly be like us?

Santa Fe Institute

45,386 görüntüleme • 1 yıl önce