正在加载视频...

视频加载失败

加载此视频时出现问题。这可能是由于临时网络问题，或视频可能不可用。

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

Stephanie Zhan

30,553 subscribers

24,820 次观看 • 8 个月前 •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

0 条评论

暂无评论

原始帖子的评论将显示在这里

相关视频

“If we can make AI make better chips, then those chips can power the next generation of AI models.” Startup ‘Ricursive Intelligence,’ founded by Azalia Mirhoseini and Anna Goldie, has been building AI tools to do just that: to speed up the chip design process. The company’s name is a nod to “recursive self-improvement,” the idea that AI could one day bootstrap itself without human involvement. If they’re successful, Goldie and Mirhoseini could revolutionize the way the chip industry works. At the moment, AI companies mostly optimize their models for certain chips. But in a future where chip design happens far faster, it could work the other way around: chips optimized for specific models. The founders are on the TIME100 AI, the list of people shaping the development of AI in 2026. See the full list:

“If we can make AI make better chips, then those chips can power the next generation of AI models.” Startup ‘Ricursive Intelligence,’ founded by Azalia Mirhoseini and Anna Goldie, has been building AI tools to do just that: to speed up the chip design process. The company’s name is a nod to “recursive self-improvement,” the idea that AI could one day bootstrap itself without human involvement. If they’re successful, Goldie and Mirhoseini could revolutionize the way the chip industry works. At the moment, AI companies mostly optimize their models for certain chips. But in a future where chip design happens far faster, it could work the other way around: chips optimized for specific models. The founders are on the TIME100 AI, the list of people shaping the development of AI in 2026. See the full list:

TIME

38,584 次观看 • 25 天前

"there's an invitation to slowness." isha kumar, a brilliant designer at Linear, on protecting joy + intuition as AI speeds everything up. genuinely one of my favorite conversations i've ever had on the topic of AI and design! "the best way for me to be creative is to preserve a sense of joy in my work. a lot of AI and the way that the workflow works today doesn't work naturally with that. it transforms people who wanted to be ICs into being pseudo-managers. it forces a language of thinking that is not super natural to product design because it makes me verbalize all of my instincts, thoughts, and intuition in a way that is stalling for me." "where i'm doing my best design work is when i can enter a place of prolonged contact with the work that i'm looking at, and that language for me is visual because it's almost subconscious." "i don't use AI for any evaluation of my designs. i don't use it for content assistance either because oftentimes it just feels like i'm speaking to something that wants to affirm me, not provoke me." more:

"there's an invitation to slowness." isha kumar, a brilliant designer at Linear, on protecting joy + intuition as AI speeds everything up. genuinely one of my favorite conversations i've ever had on the topic of AI and design! "the best way for me to be creative is to preserve a sense of joy in my work. a lot of AI and the way that the workflow works today doesn't work naturally with that. it transforms people who wanted to be ICs into being pseudo-managers. it forces a language of thinking that is not super natural to product design because it makes me verbalize all of my instincts, thoughts, and intuition in a way that is stalling for me." "where i'm doing my best design work is when i can enter a place of prolonged contact with the work that i'm looking at, and that language for me is visual because it's almost subconscious." "i don't use AI for any evaluation of my designs. i don't use it for content assistance either because oftentimes it just feels like i'm speaking to something that wants to affirm me, not provoke me." more:

robyn park

35,797 次观看 • 1 个月前

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

59,021 次观看 • 7 个月前

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

53,135 次观看 • 3 个月前

🚨 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 次观看 • 3 个月前

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 Network

65,208 次观看 • 9 个月前

distilling my design aesthetic into a Claude skill — so we can craft design systems together that fits the vibe. since I entered the field, I've spent years handcrafting every interface myself. loved every second of it. but vibe coding unlocked a whole new world for human-ai collaboration. so this week I built that into a skill — 5 design systems, each with its own aesthetic logic, each made for a different context and product type. this demo showcases three different interfaces/products made by the same “style” with slightly different twists for each specific scenarios. style dropper inspired by Variant — but make it your own design DNA.

distilling my design aesthetic into a Claude skill — so we can craft design systems together that fits the vibe. since I entered the field, I've spent years handcrafting every interface myself. loved every second of it. but vibe coding unlocked a whole new world for human-ai collaboration. so this week I built that into a skill — 5 design systems, each with its own aesthetic logic, each made for a different context and product type. this demo showcases three different interfaces/products made by the same “style” with slightly different twists for each specific scenarios. style dropper inspired by Variant — but make it your own design DNA.

isle of echo

21,152 次观看 • 4 个月前

.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

58,868 次观看 • 1 年前

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 次观看 • 9 个月前

OpenAI was conducting a test to see if its AI models could exploit vulnerable software—but then the models broke out of the parameters of the test and attacked a real company to find the answers it was looking for. If AI can lose control like this, does that mean your sensitive data could be the next target? TIME reporter Harry Booth explains what that means for you. Read the full story here:

OpenAI was conducting a test to see if its AI models could exploit vulnerable software—but then the models broke out of the parameters of the test and attacked a real company to find the answers it was looking for. If AI can lose control like this, does that mean your sensitive data could be the next target? TIME reporter Harry Booth explains what that means for you. Read the full story here:

TIME

50,298 次观看 • 1 个月前

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

90,276 次观看 • 7 个月前

$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 次观看 • 6 个月前

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 次观看 • 4 个月前

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 次观看 • 2 年前

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 次观看 • 5 个月前

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

12,511 次观看 • 5 个月前