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🚨 GOOGLE PIXEL 11 SERIES IS OFFICIAL! 📱🔥 Google has officially unveiled the new Pixel 11 lineup, bringing a refined design, Tensor G6, Android 17, upgraded cameras, and a whole lot of new AI-powered features. Here’s the lineup: • Pixel 11 — 256GB/12GB — $899 • Pixel 11 Pro...

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17,650 görüntüleme • 18 gün önce •via X (Twitter)

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Get a hands-on look at Google's new Pixel 11 lineup, from the more durable Pro Fold, an updated new camera bar, and of course, a push for Gemini AI features.
1:10

Get a hands-on look at Google's new Pixel 11 lineup, from the more durable Pro Fold, an updated new camera bar, and of course, a push for Gemini AI features.

TechCrunch

39,936 görüntüleme • 17 gün önce

Google Pixel 11 Pro Fold did NOT survive JerryRigEverything’s durability test Just like the 10 Pro Fold, 9 Pro Fold and the original Pixel Fold. What’s crazy is how easily he deconstructed it with his bare hands… a $1900 phone built like a toy 😭
1:05

Google Pixel 11 Pro Fold did NOT survive JerryRigEverything’s durability test Just like the 10 Pro Fold, 9 Pro Fold and the original Pixel Fold. What’s crazy is how easily he deconstructed it with his bare hands… a $1900 phone built like a toy 😭

Out of Galaxy

17,178 görüntüleme • 9 gün önce

For developers, Gemini 3 Pro offers unparalleled results across every major AI benchmark compared to Gemini 2.5 Pro. Here three ways Gemini 3 Pro can improve your workflow today: 1. Gemini 3 Pro fits right into existing production agent and coding workflows. It is also integrated into development environment experiences across the ecosystem of developer products like Google AI Studio, Gemini CLI, and Android Studio. 2. We introduced Google Google Antigravity, a new agentic development platform that reimagines how the model and IDE work together. It enables developers to manage agents to work at a higher, task-oriented level collaborating with agents while they build. 3. We’ve built Google AI Studio to be your fastest path from a prompt to an AI-native app. Build mode lets you add AI capabilities faster than ever, automatically wiring up the right models and APIs, while features like annotations enable fast and intuitive iteration. Whether you’re building a one-shot prompt game or an interactive landing page from unstructured voice notes, you can bring any idea to life with Gemini 3.
0:48

For developers, Gemini 3 Pro offers unparalleled results across every major AI benchmark compared to Gemini 2.5 Pro. Here three ways Gemini 3 Pro can improve your workflow today: 1. Gemini 3 Pro fits right into existing production agent and coding workflows. It is also integrated into development environment experiences across the ecosystem of developer products like Google AI Studio, Gemini CLI, and Android Studio. 2. We introduced Google Google Antigravity, a new agentic development platform that reimagines how the model and IDE work together. It enables developers to manage agents to work at a higher, task-oriented level collaborating with agents while they build. 3. We’ve built Google AI Studio to be your fastest path from a prompt to an AI-native app. Build mode lets you add AI capabilities faster than ever, automatically wiring up the right models and APIs, while features like annotations enable fast and intuitive iteration. Whether you’re building a one-shot prompt game or an interactive landing page from unstructured voice notes, you can bring any idea to life with Gemini 3.

Google AI

136,648 görüntüleme • 9 ay önce

Our token, $PIXEL, is officially live on Binance, the world’s largest crypto exchange 🔥 We’ve been working towards this moment for over 2 years, and we couldn’t be more excited to share this massive milestone with you all. This is just the beginning and the best is yet to come for the Pixels community. New here? Welcome to Pixels: Pixels is a free-to-play farming MMO with a play-to-earn (P2E) model. Gameplay revolves around resource management, strategic exploration and community building. Over the past year, we’ve grown to one of Web3’s largest games, with daily active players of 180k+. At Pixels, we build with our community. We're far from a traditional game studio, and our development process reflects that. Over the past 2 years, we’ve had 60+ public updates. This approach enables us to iterate and experiment more quickly, giving players a true sense of ownership over the game's direction. When you join our community, you are not just a player of Pixels, but a creator of it. Our Mission: We’re excited by the potential of Web3 technology and its ability to significantly enhance the gaming experience. We aim to experiment, build, and iterate on the features that make Web3 gaming unique. We’re here to set a new standard. Here are some of the interesting areas we've leaned into: ➡️ P2E: earn $PIXEL by participating in gameplay ➡️ Guilds: friendtech + competition ➡️ On-chain Reputation & Player Personas: creating a sustainable ecosystem of real players ➡️ Interoperability: using on-chain data to bring communities together We're eager to explore more possibilities in this space and push Web3 even further. Meet $PIXEL ✨ $PIXEL is an in-game utility token. It allows players to enhance their gameplay experience in various ways: ➡️ Purchase VIP memberships ➡️ Create and join guilds ➡️ Mint a Pixels Pet ➡️ Upgrade lands We believe Web3 games don’t need to look exactly like Web2 games. However, P2E formats need sustainable structures and economics. With that, we’ve focused heavily on persona types: why would each user want to use this token? We want to ensure we’ve created an environment where first: ➡️ Our game is providing real enjoyment and entertainment to our users ➡️ Our currency can help amplify that experience without affecting the experience of other users How do I get $PIXEL? Users can earn $PIXEL in-game right now. Head over to Buck’s Galore and chat with Hazel. She will provide you with your daily list of tasks. Within these tasks, you may be lucky enough to be given one that rewards in $PIXEL. Final Thoughts: In 2024, Pixels is stepping into its next chapter of growth fueled by the listing of $PIXEL on Binance. To the Pixels community, today is a historic moment for all of us. We can’t wait to welcome even more members to our community in the days, weeks, and years to come.
1:27

Our token, $PIXEL, is officially live on Binance, the world’s largest crypto exchange 🔥 We’ve been working towards this moment for over 2 years, and we couldn’t be more excited to share this massive milestone with you all. This is just the beginning and the best is yet to come for the Pixels community. New here? Welcome to Pixels: Pixels is a free-to-play farming MMO with a play-to-earn (P2E) model. Gameplay revolves around resource management, strategic exploration and community building. Over the past year, we’ve grown to one of Web3’s largest games, with daily active players of 180k+. At Pixels, we build with our community. We're far from a traditional game studio, and our development process reflects that. Over the past 2 years, we’ve had 60+ public updates. This approach enables us to iterate and experiment more quickly, giving players a true sense of ownership over the game's direction. When you join our community, you are not just a player of Pixels, but a creator of it. Our Mission: We’re excited by the potential of Web3 technology and its ability to significantly enhance the gaming experience. We aim to experiment, build, and iterate on the features that make Web3 gaming unique. We’re here to set a new standard. Here are some of the interesting areas we've leaned into: ➡️ P2E: earn $PIXEL by participating in gameplay ➡️ Guilds: friendtech + competition ➡️ On-chain Reputation & Player Personas: creating a sustainable ecosystem of real players ➡️ Interoperability: using on-chain data to bring communities together We're eager to explore more possibilities in this space and push Web3 even further. Meet $PIXEL ✨ $PIXEL is an in-game utility token. It allows players to enhance their gameplay experience in various ways: ➡️ Purchase VIP memberships ➡️ Create and join guilds ➡️ Mint a Pixels Pet ➡️ Upgrade lands We believe Web3 games don’t need to look exactly like Web2 games. However, P2E formats need sustainable structures and economics. With that, we’ve focused heavily on persona types: why would each user want to use this token? We want to ensure we’ve created an environment where first: ➡️ Our game is providing real enjoyment and entertainment to our users ➡️ Our currency can help amplify that experience without affecting the experience of other users How do I get $PIXEL? Users can earn $PIXEL in-game right now. Head over to Buck’s Galore and chat with Hazel. She will provide you with your daily list of tasks. Within these tasks, you may be lucky enough to be given one that rewards in $PIXEL. Final Thoughts: In 2024, Pixels is stepping into its next chapter of growth fueled by the listing of $PIXEL on Binance. To the Pixels community, today is a historic moment for all of us. We can’t wait to welcome even more members to our community in the days, weeks, and years to come.

Pixels

1,462,138 görüntüleme • 2 yıl önce

** Sega Genesis 3D engine update 8.5 ** A smaller update - Scrolling left or right of the sprite based background is implemented along with X camera shifting of the 3d plane. The Exodus emulator has been used with sprite boxing enabled so you can see the background sprites making up the object ( their outlines ) and how they move to tilt the image . The background is made up of 112 sprites (51 are multiplexed in that number as the Genesis is limited to 80 without mulitplexing eg basically re-using sprite hardware as the screen is being drawn ) . In a 6 x 17 sprite grid of 16x32 pixel high sprites. If the tilt affect was not neccessary or only 1/2 the angle of tilt effect was needed, I could get away with 1/2 the number of sprites and just used 32x32 sprites instead. I think the tilt effect adds a bit to movement however. This is very similar to how a Neo Geo would build its backgrounds up - in 16 pixel strips however its sprites are tall as the screen or more but the concept of making backgrounds up in 16 pixel wide strips is similar. The NG uses sprites to build any background layers required. Here on the Genesis the reason is rendering is much faster using both the 3d planes and using a total sprite background for this engine. Initially i had a lot of things breaking when I tried to move the camera in the X dimension much , as i'd optimised the vertex transform path heavily and once beyond a certain camera offset the X value was wrapping around causing a lot of breakage in the rendering. Thankfully solved that issue without marginal impact to cpu . It still needs work , perspectives are a bit wrong etc but it won't be hard to fix. Also found some rendering speeds ups, about 8% by optimising fully onscreen quads and optimising the clearing of the frame buffers more efficiently. Toni Gálvez - Megastyle - BG. has been hard at work on HUD elements and more 3d models so will have something to show for that soon. #SGDK #SegaMegadrive #SegaGenesis
0:28

** Sega Genesis 3D engine update 8.5 ** A smaller update - Scrolling left or right of the sprite based background is implemented along with X camera shifting of the 3d plane. The Exodus emulator has been used with sprite boxing enabled so you can see the background sprites making up the object ( their outlines ) and how they move to tilt the image . The background is made up of 112 sprites (51 are multiplexed in that number as the Genesis is limited to 80 without mulitplexing eg basically re-using sprite hardware as the screen is being drawn ) . In a 6 x 17 sprite grid of 16x32 pixel high sprites. If the tilt affect was not neccessary or only 1/2 the angle of tilt effect was needed, I could get away with 1/2 the number of sprites and just used 32x32 sprites instead. I think the tilt effect adds a bit to movement however. This is very similar to how a Neo Geo would build its backgrounds up - in 16 pixel strips however its sprites are tall as the screen or more but the concept of making backgrounds up in 16 pixel wide strips is similar. The NG uses sprites to build any background layers required. Here on the Genesis the reason is rendering is much faster using both the 3d planes and using a total sprite background for this engine. Initially i had a lot of things breaking when I tried to move the camera in the X dimension much , as i'd optimised the vertex transform path heavily and once beyond a certain camera offset the X value was wrapping around causing a lot of breakage in the rendering. Thankfully solved that issue without marginal impact to cpu . It still needs work , perspectives are a bit wrong etc but it won't be hard to fix. Also found some rendering speeds ups, about 8% by optimising fully onscreen quads and optimising the clearing of the frame buffers more efficiently. Toni Gálvez - Megastyle - BG. has been hard at work on HUD elements and more 3d models so will have something to show for that soon. #SGDK #SegaMegadrive #SegaGenesis

Shannon Birt

21,350 görüntüleme • 1 ay önce

Welcome to Shipmas Day 3 part 1… the big one. 🚢🎁 Today, we remove the ceiling on what you can generate. Starting today, our new default agent is Thinking with Gemini 3 Pro. This agent uses advanced reasoning to "think" through your design before writing a single line of code. The community has been calling Gemini 3 "too good at frontend" and "unmatched in visual reasoning." We agree. It handles complex dashboards, intricate DOM manipulation, and pixel-perfect CSS better than anything we've tested. All designs are backed by code and exportable to your favorite coding agent. The video below shows some single prompt examples to inspire you. Sound on for a preview of the new Stitch theme song 🔊
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Welcome to Shipmas Day 3 part 1… the big one. 🚢🎁 Today, we remove the ceiling on what you can generate. Starting today, our new default agent is Thinking with Gemini 3 Pro. This agent uses advanced reasoning to "think" through your design before writing a single line of code. The community has been calling Gemini 3 "too good at frontend" and "unmatched in visual reasoning." We agree. It handles complex dashboards, intricate DOM manipulation, and pixel-perfect CSS better than anything we've tested. All designs are backed by code and exportable to your favorite coding agent. The video below shows some single prompt examples to inspire you. Sound on for a preview of the new Stitch theme song 🔊

Stitch by Google

192,446 görüntüleme • 8 ay önce

GT Protocol AI Digest No.83: Sora Is Dead. What Now? Here are five stories worth your attention 👇 🎬 Sora Is Shut Down OpenAI abruptly shut down its AI video generator Sora after heavy hype and investment. The move shows that even flagship AI products can fail to reach real-world viability, raising questions about the scalability of generative video. 🎵 Gemini Expands Into AI Music Gemini introduced Lyria 3 Pro, a model that generates longer and more structured music. AI audio is moving closer to professional production, shifting from short demos to usable creative output. 📱 Pixel Ads Create AI Confusion Google’s Pixel 10 ads left users unclear about what is being sold: the phone or its AI features. As AI becomes core to products, communicating its value is becoming harder for companies. 🧠 “AGI Is Already Here” Nvidia CEO Jensen Huang said he believes AGI has effectively been achieved. The claim reflects growing confidence in AI progress, but also shows how unclear and flexible the definition of AGI has become. ⚖️ Anthropic vs Pentagon Anthropic is heading to court against the Pentagon over restrictions on its AI models. The case highlights rising tension between AI safety policies and government demand for broader access. AI is still moving fast, but not everything is working as expected. Read the full digest on our Medium 👉
0:46

GT Protocol AI Digest No.83: Sora Is Dead. What Now? Here are five stories worth your attention 👇 🎬 Sora Is Shut Down OpenAI abruptly shut down its AI video generator Sora after heavy hype and investment. The move shows that even flagship AI products can fail to reach real-world viability, raising questions about the scalability of generative video. 🎵 Gemini Expands Into AI Music Gemini introduced Lyria 3 Pro, a model that generates longer and more structured music. AI audio is moving closer to professional production, shifting from short demos to usable creative output. 📱 Pixel Ads Create AI Confusion Google’s Pixel 10 ads left users unclear about what is being sold: the phone or its AI features. As AI becomes core to products, communicating its value is becoming harder for companies. 🧠 “AGI Is Already Here” Nvidia CEO Jensen Huang said he believes AGI has effectively been achieved. The claim reflects growing confidence in AI progress, but also shows how unclear and flexible the definition of AGI has become. ⚖️ Anthropic vs Pentagon Anthropic is heading to court against the Pentagon over restrictions on its AI models. The case highlights rising tension between AI safety policies and government demand for broader access. AI is still moving fast, but not everything is working as expected. Read the full digest on our Medium 👉

GT Protocol

34,954 görüntüleme • 5 ay önce

NEWS: Tonight, Toyota unveiled the all-new, redesigned RAV4 — the former #1 best-selling car in the world — marking its first redesign in 6 years. • Every trim will now be a Hybrid or Plug-in Hybrid • 20% more all-electric drive range of 50 miles (42 miles previously) • Redesigned exterior and interior • The PHEV XSE and Woodland trims will have DC fast charging, capable of charging from 10% to 80% in 30 mins • 11-kW AC onboard charger available • Towing capacity: Up to 3,500 lbs • New 12.9" touchscreen. Digital HVAC controls are a new feature integrated into the bottom of the touchscreen display. • 12.3" digital gauge cluster • Equipped with Arene, an all-new software development platform created by Woven by Toyota. "The introduction of Arene is Toyota’s first step toward fully software-defined vehicles. The platform will be the foundation for our most advanced safety, security and connectivity technologies." • New RAV4 is the first Toyota model to receive the Toyota Safety Sense 4.0 system. The new version of Toyota’s standard active safety suite will have updates to its hardware and detection capabilities. Additional details will be available closer to the on-sale date. • Wireless Apple CarPlay & Android Auto • Up to 320 hp • 2026 RAV4 models are expected to start arriving at Toyota dealerships across the U.S. later this year, and pricing will be announced closer to on-sale date.
1:07

NEWS: Tonight, Toyota unveiled the all-new, redesigned RAV4 — the former #1 best-selling car in the world — marking its first redesign in 6 years. • Every trim will now be a Hybrid or Plug-in Hybrid • 20% more all-electric drive range of 50 miles (42 miles previously) • Redesigned exterior and interior • The PHEV XSE and Woodland trims will have DC fast charging, capable of charging from 10% to 80% in 30 mins • 11-kW AC onboard charger available • Towing capacity: Up to 3,500 lbs • New 12.9" touchscreen. Digital HVAC controls are a new feature integrated into the bottom of the touchscreen display. • 12.3" digital gauge cluster • Equipped with Arene, an all-new software development platform created by Woven by Toyota. "The introduction of Arene is Toyota’s first step toward fully software-defined vehicles. The platform will be the foundation for our most advanced safety, security and connectivity technologies." • New RAV4 is the first Toyota model to receive the Toyota Safety Sense 4.0 system. The new version of Toyota’s standard active safety suite will have updates to its hardware and detection capabilities. Additional details will be available closer to the on-sale date. • Wireless Apple CarPlay & Android Auto • Up to 320 hp • 2026 RAV4 models are expected to start arriving at Toyota dealerships across the U.S. later this year, and pricing will be announced closer to on-sale date.

Sawyer Merritt

367,601 görüntüleme • 1 yıl önce

More surveillance technology is being introduced by Google Google's is prepping a new AI feature for their Pixel phones that is going to ‘track and note-take’ all of your conversations it’s always listening to “The amount of surveillance tech being normalized right now is astounding: - We have the Kids Act in Congress that wants to implement ID checks just to access the internet - We have the highly invasive Meta Glasses collabing with Kylie Jenner - We have Google trying to scan your fingerprints and palms pretending it's a reCAPTCHA. - We have Google admitting earlier this year that all the AI systems they're forcing into their phones is actually a way to harvest your data to further train their AI systems - Then they added Nano Banana 2 onto their phones so that they could scan all of your photos And now they want to harvest your audio data by recording and banking all of your conversations and the ambient noise around you whenever you go places” All this is absolutely true The Kids Act recently passed the US House. It bundles child online safety measures, including elements of the Kids Online Safety Act which very likely will push broad age verification across platforms, requiring ID checks or data collection Google is testing a new reCAPTCHA version that activates your webcam for hand gestures, like wave or open palm to verify you’re human. It maps roughly 21 hand landmark and knuckles for “liveness detection.” It gives them more of your biometric data And Google’s “Audio Memory” feature for Pixel phones is real and in development It will “keep track of what you hear throughout your day, from the music around you to your important conversations.” As of now you’ll have to opt in to Google’s Audio Memory and conversation-tracking feature. But we all know it starts out voluntary and ends mandatory or just apart of the phone Literally no one needs this, this is nothing but mass surveillance packaged as some useless feature
3:00

More surveillance technology is being introduced by Google Google's is prepping a new AI feature for their Pixel phones that is going to ‘track and note-take’ all of your conversations it’s always listening to “The amount of surveillance tech being normalized right now is astounding: - We have the Kids Act in Congress that wants to implement ID checks just to access the internet - We have the highly invasive Meta Glasses collabing with Kylie Jenner - We have Google trying to scan your fingerprints and palms pretending it's a reCAPTCHA. - We have Google admitting earlier this year that all the AI systems they're forcing into their phones is actually a way to harvest your data to further train their AI systems - Then they added Nano Banana 2 onto their phones so that they could scan all of your photos And now they want to harvest your audio data by recording and banking all of your conversations and the ambient noise around you whenever you go places” All this is absolutely true The Kids Act recently passed the US House. It bundles child online safety measures, including elements of the Kids Online Safety Act which very likely will push broad age verification across platforms, requiring ID checks or data collection Google is testing a new reCAPTCHA version that activates your webcam for hand gestures, like wave or open palm to verify you’re human. It maps roughly 21 hand landmark and knuckles for “liveness detection.” It gives them more of your biometric data And Google’s “Audio Memory” feature for Pixel phones is real and in development It will “keep track of what you hear throughout your day, from the music around you to your important conversations.” As of now you’ll have to opt in to Google’s Audio Memory and conversation-tracking feature. But we all know it starts out voluntary and ends mandatory or just apart of the phone Literally no one needs this, this is nothing but mass surveillance packaged as some useless feature

Wall Street Apes

76,887 görüntüleme • 1 ay önce

We are excited to share that Logan Kilpatrick joined us on The Bench to discuss Google's new Gemini 3.5 Flash: why it's deliberately more persistent and capable than previous Flash models, how it hit #1 on our FinanceAgent Benchmark taking 82 steps where competitors stopped at 13, and what justifies the price increase. We also get into why AI benchmarks need a paradigm shift, the trade-off of building everything vs staying focused, the Pope, and why Omni might kill the Subway Surfers content era. 0:11:00 – Flash is being rebased for the agent era, not just a cheaper model anymore 0:14:03 – Persistence by design: 82 tool calls vs competitors' 13 0:17:52 – Why pricing went up and how Google thinks about value per token 0:22:55 – Coding performance: from 20th to 10th place in one generation 0:28:28 – Why benchmarks have historically been misleading and what the new era of evaluation looks like 0:29:28 Logan on why Google has the best researchers in the world 0:36:16 – The cost of being Google 0:39:07 – The Pope’s encyclical on AI and whether most people see frontier intelligence as a good thing 0:51:12 – Why Omni is the thing that recently clicked
54:53

We are excited to share that Logan Kilpatrick joined us on The Bench to discuss Google's new Gemini 3.5 Flash: why it's deliberately more persistent and capable than previous Flash models, how it hit #1 on our FinanceAgent Benchmark taking 82 steps where competitors stopped at 13, and what justifies the price increase. We also get into why AI benchmarks need a paradigm shift, the trade-off of building everything vs staying focused, the Pope, and why Omni might kill the Subway Surfers content era. 0:11:00 – Flash is being rebased for the agent era, not just a cheaper model anymore 0:14:03 – Persistence by design: 82 tool calls vs competitors' 13 0:17:52 – Why pricing went up and how Google thinks about value per token 0:22:55 – Coding performance: from 20th to 10th place in one generation 0:28:28 – Why benchmarks have historically been misleading and what the new era of evaluation looks like 0:29:28 Logan on why Google has the best researchers in the world 0:36:16 – The cost of being Google 0:39:07 – The Pope’s encyclical on AI and whether most people see frontier intelligence as a good thing 0:51:12 – Why Omni is the thing that recently clicked

Vals AI

16,486 görüntüleme • 3 ay önce

TPUs Via Cloud Next, Intel Earnings, Foundry Scarcity Ben Bajarin and Jay Goldberg 顾忠南 discuss: 00:00 - Ben and Jay introduce an action-packed episode covering a massive week of semiconductor announcements. 00:10 - Ben recaps his experience at Google Next, highlighting the launch of the new TPU v5p and v5i accelerators. 02:35 - The hosts discuss the physical design of the new inference chips and how they differ from training hardware. 03:04 - A deep dive into memory architecture explores the use of HBM and the "Boardfly" networking innovation. 04:15 - Jay notes reports of Google working on SRAM-based inference chips to solve the HBM supply bottleneck. 07:22 - Google's leadership draws a historical parallel between today's AI training costs and their early days of indexing the web. 11:11 - The duo critiques the enterprise focus of the Google Next keynote and the current productivity gap in Gemini. 15:24 - Intel's recent earnings report shows a significant beat on revenue and guidance driven by a "CPU resurgence". 18:31 - Ben and Jay debate the strategic advantage of Intel owning its own fabs during a global capacity shortage. 25:51 - The conversation shifts to Intel's manufacturing roadmap and the potential for Tesla to become a 14A customer. 33:23 - An analysis of Intel's new financial reporting structure reveals the massive internal scale of their foundry business. 40:27 - Recent drama at the TSMC Symposium is discussed, specifically regarding the high cost of ASML's High-NA EUV tools. 44:23 - Growing demand for AI and memory is driving Wafer Fabrication Equipment (WFE) forecasts to record highs. 47:06 - Ben and Jay conclude by debating the long-term durability of the current semiconductor bull cycle
49:08

TPUs Via Cloud Next, Intel Earnings, Foundry Scarcity Ben Bajarin and Jay Goldberg 顾忠南 discuss: 00:00 - Ben and Jay introduce an action-packed episode covering a massive week of semiconductor announcements. 00:10 - Ben recaps his experience at Google Next, highlighting the launch of the new TPU v5p and v5i accelerators. 02:35 - The hosts discuss the physical design of the new inference chips and how they differ from training hardware. 03:04 - A deep dive into memory architecture explores the use of HBM and the "Boardfly" networking innovation. 04:15 - Jay notes reports of Google working on SRAM-based inference chips to solve the HBM supply bottleneck. 07:22 - Google's leadership draws a historical parallel between today's AI training costs and their early days of indexing the web. 11:11 - The duo critiques the enterprise focus of the Google Next keynote and the current productivity gap in Gemini. 15:24 - Intel's recent earnings report shows a significant beat on revenue and guidance driven by a "CPU resurgence". 18:31 - Ben and Jay debate the strategic advantage of Intel owning its own fabs during a global capacity shortage. 25:51 - The conversation shifts to Intel's manufacturing roadmap and the potential for Tesla to become a 14A customer. 33:23 - An analysis of Intel's new financial reporting structure reveals the massive internal scale of their foundry business. 40:27 - Recent drama at the TSMC Symposium is discussed, specifically regarding the high cost of ASML's High-NA EUV tools. 44:23 - Growing demand for AI and memory is driving Wafer Fabrication Equipment (WFE) forecasts to record highs. 47:06 - Ben and Jay conclude by debating the long-term durability of the current semiconductor bull cycle

The Circuit

12,020 görüntüleme • 4 ay önce

Seedance 2.0 - Advanced Workflows Series 11. Cinematic Camera Angles through Video Gen + Specialized Storyboard AI Agent Are you already getting camera shots and angles through Nano Banana Pro? Take the next step. Seedance 2.0 has a better spatial understanding of the scene than image generation models. Because it is built to produce cinematic clips, it achieves more beautiful shots and angles than image models like Nano Banana, which are primarily made for image editing. As an added bonus, Seedance renders the entire space of the scene, so you can get tens of shots with complete spatial and element consistency in a single generation. Create a specific AI Agent to help you with storyboarding, and feed the input into Seedance to get the most cinematic shots. You can access Seedance 2.0 now on insMind (link at the end of the thread). Workflow + Prompts👇
0:31

Seedance 2.0 - Advanced Workflows Series 11. Cinematic Camera Angles through Video Gen + Specialized Storyboard AI Agent Are you already getting camera shots and angles through Nano Banana Pro? Take the next step. Seedance 2.0 has a better spatial understanding of the scene than image generation models. Because it is built to produce cinematic clips, it achieves more beautiful shots and angles than image models like Nano Banana, which are primarily made for image editing. As an added bonus, Seedance renders the entire space of the scene, so you can get tens of shots with complete spatial and element consistency in a single generation. Create a specific AI Agent to help you with storyboarding, and feed the input into Seedance to get the most cinematic shots. You can access Seedance 2.0 now on insMind (link at the end of the thread). Workflow + Prompts👇

VoxelPlot

125,934 görüntüleme • 3 ay önce

#GoProMISSION1 PRO Deep Dive—Part 2 of 6 🎥 A new, cutting-edge 1-inch sensor means incredible dynamic range, even in the darkest environments. Low-light performance like you've never seen from a GoPro, with up to 14 stops of dynamic range at the sensor. Think rich shadow detail, crispy highlights, + true-to-life color with minimal noise and no AI artifacts. The new 1-inch sensor gathers 77% more light per pixel than the competition at 8K, holding detail where other cameras give up. For the darkest scenes, Low Light Mode switches the camera to 4K for Quad Bayer capture, combining 4 pixels into 1 to quadruple each pixel's light-gathering area. Add HLG HDR with dual gain readout—capturing multiple exposures simultaneously to eliminate the ghosting you'd normally get from sequential bracketed HDR—and the result is clean, cinematic footage from high noon to pitch black. Then we take it one step further with 3 built-in Night Effects Modes: Star Trails, Vehicle Light Trails, + Light Painting to change the way you see the world after dark. All of this, in a camera over 85% smaller by volume and over 75% less expensive than the next camera in the 8K60 class. Shop MISSION 1 PRO at or at your local retailer 🛒 #GoPro #Cinematic #Videography
0:43

#GoProMISSION1 PRO Deep Dive—Part 2 of 6 🎥 A new, cutting-edge 1-inch sensor means incredible dynamic range, even in the darkest environments. Low-light performance like you've never seen from a GoPro, with up to 14 stops of dynamic range at the sensor. Think rich shadow detail, crispy highlights, + true-to-life color with minimal noise and no AI artifacts. The new 1-inch sensor gathers 77% more light per pixel than the competition at 8K, holding detail where other cameras give up. For the darkest scenes, Low Light Mode switches the camera to 4K for Quad Bayer capture, combining 4 pixels into 1 to quadruple each pixel's light-gathering area. Add HLG HDR with dual gain readout—capturing multiple exposures simultaneously to eliminate the ghosting you'd normally get from sequential bracketed HDR—and the result is clean, cinematic footage from high noon to pitch black. Then we take it one step further with 3 built-in Night Effects Modes: Star Trails, Vehicle Light Trails, + Light Painting to change the way you see the world after dark. All of this, in a camera over 85% smaller by volume and over 75% less expensive than the next camera in the 8K60 class. Shop MISSION 1 PRO at or at your local retailer 🛒 #GoPro #Cinematic #Videography

GoPro

10,781 görüntüleme • 1 ay önce

Learn about Google’s new SOTA image model, Gemini 2.5 Flash, its key capabilities, and what’s next on the roadmap with some of the team behind the model Nicole Brichtova Kaushik Shivakumar Mostafa Dehghani Robert Riachi with Logan Kilpatrick. Timecodes: 0:37 New model introduction 01:21 Demo: Image editing 03:44 Text rendering capabilities 04:44 Beyond human preference evals 06:44 Text rendering as a proxy for quality 08:38 Positive transfer between modalities 11:25 Demo: multi-turn, context aware image generation 13:54 Pixel-perfect editing and character consistency 15:51 Interleaved image generation 17:59 Specialized vs. native models 19:52 Understanding nuanced prompts 20:59 User feedback shaping model development 22:37 Improvements in character consistency 24:17 More natural looking images from team collaboration 26:41 What’s next for image generation models
30:32

Learn about Google’s new SOTA image model, Gemini 2.5 Flash, its key capabilities, and what’s next on the roadmap with some of the team behind the model Nicole Brichtova Kaushik Shivakumar Mostafa Dehghani Robert Riachi with Logan Kilpatrick. Timecodes: 0:37 New model introduction 01:21 Demo: Image editing 03:44 Text rendering capabilities 04:44 Beyond human preference evals 06:44 Text rendering as a proxy for quality 08:38 Positive transfer between modalities 11:25 Demo: multi-turn, context aware image generation 13:54 Pixel-perfect editing and character consistency 15:51 Interleaved image generation 17:59 Specialized vs. native models 19:52 Understanding nuanced prompts 20:59 User feedback shaping model development 22:37 Improvements in character consistency 24:17 More natural looking images from team collaboration 26:41 What’s next for image generation models

Google AI Developers

31,150 görüntüleme • 1 yıl önce

Spectre AI Soars and Secures Google Scale Tier Membership with $200,000 in Development Resources We're thrilled to announce a significant milestone for Spectre AI! After a lot of networking, and a rigorous selection process, we've been accepted into the prestigious Google Scale Tier program. We had Start Tier, now we have Scale Tier! This membership signifies Google's recognition of Spectre AI's potential to become a potential game-changer in the blockchain space, and it grants us access to a wealth of resources to fuel our growth – $200,000 in development funding from GoogleStartups to use their advanced tools. What is the Google Scale Tier? The Google Scale Tier is a highly selective program designed to nurture high-growth startups with exceptional potential. Going beyond simple funding, this program grants a comprehensive suite of benefits to empower us to scale our technology and achieve new heights. Unlocking Cutting-Edge Tech and Expertise Our Google Scale Tier membership unlocks a treasure trove of resources to accelerate our development journey: $200,000 in Google Development Resources: This crucial boost will allow us to leverage Google Cloud and cutting-edge tools, along with collaboration with top Google engineers. These experts will work closely with our team to integrate these powerful resources seamlessly into our entire suite of products, including AI Predictions, Sentiment Analysis, and Technical Analysis. Imagine the possibilities for enhanced accuracy, efficiency, and deeper market insights leveraged by Google's technology! Collaboration with Google Engineering Experts: As mentioned earlier, the $200,000 in development resources includes access to Google engineers – the masterminds behind cutting-edge technologies like Long Short-Term Memory (LSTM) models, Machine Learning (ML), and advanced graphing models. These experts will collaborate with our team to integrate these powerful tools into our products. Dedicated Google Representative: A dedicated Google representative from their Irish headquarters has become our go-to person, ensuring seamless collaboration and ongoing support throughout our journey. Thank you GoogleStartupUK The Future of Spectre AI: Enhanced All-in-One Products This partnership extends far beyond individual features. Here's what you can expect across our entire product suite: Next-Level Functionality: We'll leverage Google's advanced algorithms and massive datasets to refine all our tools, including AI Predictions, Sentiment Analysis, and Technical Analysis. This means more reliable and insightful information to guide your investment strategies. Expanded Capabilities: We're exploring groundbreaking new features for our entire product suite, like real-time analysis, multi-factor modeling, and even deeper market insights. Enhanced User Experience: Navigating through all our tools will be smoother than ever. We'll work with Google to refine the user interface across the board, making it easier to understand and leverage the power of AI in your crypto journey. The Data Visualization Revolution: Buckle up, X Bubblemaps users! Google's advanced graphing models are poised to transform how you visualize and explore data within Spectre AI. We can't wait to unveil a whole new level of visualization that will take your on-chain analysis to the next level. This is just the beginning! We're incredibly grateful for this opportunity to partner with Google and revolutionize the future of our all-in-one blockchain analysis suite. Stay tuned for exciting updates as we develop groundbreaking new features together. Thank you for being a part of the Spectre AI community! #google #googlecloud #spectre #ai #tech #innovation $spect
0:30

Spectre AI Soars and Secures Google Scale Tier Membership with $200,000 in Development Resources We're thrilled to announce a significant milestone for Spectre AI! After a lot of networking, and a rigorous selection process, we've been accepted into the prestigious Google Scale Tier program. We had Start Tier, now we have Scale Tier! This membership signifies Google's recognition of Spectre AI's potential to become a potential game-changer in the blockchain space, and it grants us access to a wealth of resources to fuel our growth – $200,000 in development funding from GoogleStartups to use their advanced tools. What is the Google Scale Tier? The Google Scale Tier is a highly selective program designed to nurture high-growth startups with exceptional potential. Going beyond simple funding, this program grants a comprehensive suite of benefits to empower us to scale our technology and achieve new heights. Unlocking Cutting-Edge Tech and Expertise Our Google Scale Tier membership unlocks a treasure trove of resources to accelerate our development journey: $200,000 in Google Development Resources: This crucial boost will allow us to leverage Google Cloud and cutting-edge tools, along with collaboration with top Google engineers. These experts will work closely with our team to integrate these powerful resources seamlessly into our entire suite of products, including AI Predictions, Sentiment Analysis, and Technical Analysis. Imagine the possibilities for enhanced accuracy, efficiency, and deeper market insights leveraged by Google's technology! Collaboration with Google Engineering Experts: As mentioned earlier, the $200,000 in development resources includes access to Google engineers – the masterminds behind cutting-edge technologies like Long Short-Term Memory (LSTM) models, Machine Learning (ML), and advanced graphing models. These experts will collaborate with our team to integrate these powerful tools into our products. Dedicated Google Representative: A dedicated Google representative from their Irish headquarters has become our go-to person, ensuring seamless collaboration and ongoing support throughout our journey. Thank you GoogleStartupUK The Future of Spectre AI: Enhanced All-in-One Products This partnership extends far beyond individual features. Here's what you can expect across our entire product suite: Next-Level Functionality: We'll leverage Google's advanced algorithms and massive datasets to refine all our tools, including AI Predictions, Sentiment Analysis, and Technical Analysis. This means more reliable and insightful information to guide your investment strategies. Expanded Capabilities: We're exploring groundbreaking new features for our entire product suite, like real-time analysis, multi-factor modeling, and even deeper market insights. Enhanced User Experience: Navigating through all our tools will be smoother than ever. We'll work with Google to refine the user interface across the board, making it easier to understand and leverage the power of AI in your crypto journey. The Data Visualization Revolution: Buckle up, X Bubblemaps users! Google's advanced graphing models are poised to transform how you visualize and explore data within Spectre AI. We can't wait to unveil a whole new level of visualization that will take your on-chain analysis to the next level. This is just the beginning! We're incredibly grateful for this opportunity to partner with Google and revolutionize the future of our all-in-one blockchain analysis suite. Stay tuned for exciting updates as we develop groundbreaking new features together. Thank you for being a part of the Spectre AI community! #google #googlecloud #spectre #ai #tech #innovation $spect

SPECTRE AI

46,699 görüntüleme • 2 yıl önce

Google just quit the AI race on purpose, and it is about to make MORE money than everyone still running it. 4 of the most cited AI researchers alive walked out of Google in a single afternoon. Jeff Dean, the man who built the systems Google runs on, gone after 27 years. Sanjay Ghemawat, his longtime partner, gone. Oriol Vinyals, a Gemini co-lead, gone. Quoc Le, a Google Brain co-founder, gone. That same day, Demis Hassabis stepped back from running DeepMind. Hassabis co-founded the lab, won a Nobel Prize for AlphaFold, and had been the face of Google AI for a decade. The stock dropped 5% within hours. Analysts called it a brain drain. Headlines called it the day Google fell behind. But turns out that's completely wrong, because the numbers underneath tell a completely different story: Google is not trying to win the frontier model race anymore. It looked at where the money is and walked toward it. Gemini, Google's flagship model business, generated about $12 billion in annual revenue last quarter. That is the entire payoff from competing head to head with OpenAI and Anthropic. Now look at the other number. By the end of 2027, Google Cloud is projected to do over $73 billion selling AI infrastructure to other companies, plus another $120 billion selling its TPU chips. That is roughly $200 billion of external sales at high margins, against a $12 billion model business. Google understood that the frontier race is the expensive part while selling the shovels is the profitable part. And the customers buying those shovels include Google's own rivals. Over 20% of Google's TPU shipments for 2026 and 2027 are going to Anthropic, one of the two labs supposedly beating Gemini. Google now makes money every time Anthropic trains a model designed to crush Google's OWN product. Cede the frontier, own the layer underneath it, and collect a toll from everyone racing across the top. The researchers leaving is the symptom of a company that already decided models are not where it wins. Jeff Dean said it himself on the way out. He told the New York Times that leaving a public company gives him room to make decisions "not necessarily in the company's purist financial interests." Read that from Google's side: The people who wanted to chase the science left, because Google is now optimizing for the FINANCIAL interest. Gemini 3.5 Pro is running months behind, with staff blaming low morale. DeepMind's comms, legal, and marketing teams are being folded into Google proper. A former manager told the Guardian the era of DeepMind as an independent lab is over. None of that reads as failure once you see the strategy. Yet Wall Street is pricing this as Google losing. The parallel that should worry the frontier labs: If open weight models keep compressing the price of inference, being the best model stops being a business. It becomes like semiconductor fabrication, strategically vital and financially brutal, a race you win and still lose money running. Google is the first giant to admit that. The company that invented the transformer just handed the frontier to OpenAI and Anthropic, and positioned itself to get paid on every model both of them ship. Those labs will be burning billions to stay one benchmark ahead, and Google will be cashing in hundreds of billions from it. The model business is actually just a race where everyone loses. Apple understood that from the get-go and never joined the race, Google understood it now and left it to OpenAI and Anthropic. Who will go bankrupt first?
2:05

Google just quit the AI race on purpose, and it is about to make MORE money than everyone still running it. 4 of the most cited AI researchers alive walked out of Google in a single afternoon. Jeff Dean, the man who built the systems Google runs on, gone after 27 years. Sanjay Ghemawat, his longtime partner, gone. Oriol Vinyals, a Gemini co-lead, gone. Quoc Le, a Google Brain co-founder, gone. That same day, Demis Hassabis stepped back from running DeepMind. Hassabis co-founded the lab, won a Nobel Prize for AlphaFold, and had been the face of Google AI for a decade. The stock dropped 5% within hours. Analysts called it a brain drain. Headlines called it the day Google fell behind. But turns out that's completely wrong, because the numbers underneath tell a completely different story: Google is not trying to win the frontier model race anymore. It looked at where the money is and walked toward it. Gemini, Google's flagship model business, generated about $12 billion in annual revenue last quarter. That is the entire payoff from competing head to head with OpenAI and Anthropic. Now look at the other number. By the end of 2027, Google Cloud is projected to do over $73 billion selling AI infrastructure to other companies, plus another $120 billion selling its TPU chips. That is roughly $200 billion of external sales at high margins, against a $12 billion model business. Google understood that the frontier race is the expensive part while selling the shovels is the profitable part. And the customers buying those shovels include Google's own rivals. Over 20% of Google's TPU shipments for 2026 and 2027 are going to Anthropic, one of the two labs supposedly beating Gemini. Google now makes money every time Anthropic trains a model designed to crush Google's OWN product. Cede the frontier, own the layer underneath it, and collect a toll from everyone racing across the top. The researchers leaving is the symptom of a company that already decided models are not where it wins. Jeff Dean said it himself on the way out. He told the New York Times that leaving a public company gives him room to make decisions "not necessarily in the company's purist financial interests." Read that from Google's side: The people who wanted to chase the science left, because Google is now optimizing for the FINANCIAL interest. Gemini 3.5 Pro is running months behind, with staff blaming low morale. DeepMind's comms, legal, and marketing teams are being folded into Google proper. A former manager told the Guardian the era of DeepMind as an independent lab is over. None of that reads as failure once you see the strategy. Yet Wall Street is pricing this as Google losing. The parallel that should worry the frontier labs: If open weight models keep compressing the price of inference, being the best model stops being a business. It becomes like semiconductor fabrication, strategically vital and financially brutal, a race you win and still lose money running. Google is the first giant to admit that. The company that invented the transformer just handed the frontier to OpenAI and Anthropic, and positioned itself to get paid on every model both of them ship. Those labs will be burning billions to stay one benchmark ahead, and Google will be cashing in hundreds of billions from it. The model business is actually just a race where everyone loses. Apple understood that from the get-go and never joined the race, Google understood it now and left it to OpenAI and Anthropic. Who will go bankrupt first?

Ricardo

241,711 görüntüleme • 19 gün önce

Chinese AI models are wiping billions off Big Tech right now. Google just lost $200 billion in a single day, and the model it needed to fight back still isn't ready. Gemini 3.5 Pro, Google's most powerful model, is months behind schedule. Alphabet stock dropped 4.4% that same day. The Deepseek moment is happening again, and the new model is FAR bigger. On the same day Google's delay leaked, a Beijing lab called Moonshot released Kimi K3. It is the largest open model ever built, with 2.8 trillion parameters. It took the number one spot on the Frontend Code Arena, a live coding leaderboard, passing Anthropic's best model. And Moonshot is giving it away for free on July 27. The genius part: Anyone with enough computers can download it and run a frontier level AI without paying a cent to a US company. A single task on Kimi K3 costs about 94 cents. The same work on some American models costs nearly double. So why would a company keep paying premium prices for a model it can now get for free? The entire US AI business is built on selling access to models that cost billions to train. If a free Chinese version does most of the same work, that pricing power starts to crack. And Kimi is close to the best. On one closely watched intelligence ranking it scored 57, just behind the top American models GPT-5.6 Sol and Fable 5, and ahead of Claude Opus 4.8. Bank of America told clients that Kimi proves Chinese labs can keep making big leaps even with limited chips. And the founder of Moonshot, Yang Zhilin, learned to build AI as a researcher INSIDE Google. Google literally wrote the 2017 paper that made all of these models possible. Now the people who studied its work are using it to destroy Google, and handing it out for free. What happens next: Kimi K3's weights go public on July 27. Google reports earnings on July 22, and everyone will be asking the same question about Gemini. If free models keep topping the charts, every valuation built on paid AI access has to be rewritten. What do you think?
1:10

Chinese AI models are wiping billions off Big Tech right now. Google just lost $200 billion in a single day, and the model it needed to fight back still isn't ready. Gemini 3.5 Pro, Google's most powerful model, is months behind schedule. Alphabet stock dropped 4.4% that same day. The Deepseek moment is happening again, and the new model is FAR bigger. On the same day Google's delay leaked, a Beijing lab called Moonshot released Kimi K3. It is the largest open model ever built, with 2.8 trillion parameters. It took the number one spot on the Frontend Code Arena, a live coding leaderboard, passing Anthropic's best model. And Moonshot is giving it away for free on July 27. The genius part: Anyone with enough computers can download it and run a frontier level AI without paying a cent to a US company. A single task on Kimi K3 costs about 94 cents. The same work on some American models costs nearly double. So why would a company keep paying premium prices for a model it can now get for free? The entire US AI business is built on selling access to models that cost billions to train. If a free Chinese version does most of the same work, that pricing power starts to crack. And Kimi is close to the best. On one closely watched intelligence ranking it scored 57, just behind the top American models GPT-5.6 Sol and Fable 5, and ahead of Claude Opus 4.8. Bank of America told clients that Kimi proves Chinese labs can keep making big leaps even with limited chips. And the founder of Moonshot, Yang Zhilin, learned to build AI as a researcher INSIDE Google. Google literally wrote the 2017 paper that made all of these models possible. Now the people who studied its work are using it to destroy Google, and handing it out for free. What happens next: Kimi K3's weights go public on July 27. Google reports earnings on July 22, and everyone will be asking the same question about Gemini. If free models keep topping the charts, every valuation built on paid AI access has to be rewritten. What do you think?

Ricardo

47,790 görüntüleme • 1 ay önce

NEW LONG FORM VIDEO: The rise and fall of Wendy's In February 2026, activist investor Nelson Peltz, who had been involved with Wendy’s and its board for more than 17 years, filed a form with the SEC stating that the company’s stock was undervalued and that they were exploring strategic options. In other words, something big might be coming for Wendy’s. The context is that the burger chain is struggling. Wendy’s has gone through seven CEOs in just 24 years. Same store sales are down 11 percent, the company is closing 300 locations, and the stock is sitting at an all time low. For many of us who grew up with Wendy’s, it’s hard to believe. The square burgers, the Frosties, the brand that once felt iconic now seems like a mess. So how did it get here? The story is more complicated than it looks. This is the rise and fall of Wendy’s.
17:54

NEW LONG FORM VIDEO: The rise and fall of Wendy's In February 2026, activist investor Nelson Peltz, who had been involved with Wendy’s and its board for more than 17 years, filed a form with the SEC stating that the company’s stock was undervalued and that they were exploring strategic options. In other words, something big might be coming for Wendy’s. The context is that the burger chain is struggling. Wendy’s has gone through seven CEOs in just 24 years. Same store sales are down 11 percent, the company is closing 300 locations, and the stock is sitting at an all time low. For many of us who grew up with Wendy’s, it’s hard to believe. The square burgers, the Frosties, the brand that once felt iconic now seems like a mess. So how did it get here? The story is more complicated than it looks. This is the rise and fall of Wendy’s.

Michael Girdley

21,775 görüntüleme • 5 ay önce

NEWS: Figure has unveiling its 3rd generation humanoid robot. • Features a completely redesigned sensory suite and hand system. Wireless charging in feet. • Next-generation vision system engineered for high-frequency visuomotor control. Its new camera architecture delivers twice the frame rate, one-quarter the latency, and a 60% wider field of view per camera within a more compact form factor • Soft goods, wireless charging, improved audio system for voice reasoning, and battery safety advancements • "Engineered from the ground-up for high-volume manufacturing. In order to scale, we established a new supply chain and entirely new process for manufacturing humanoid robots at BotQ." • Lower manufacturing cost • Softer, more adaptive fingertips increase surface contact area, enabling more stable grasps across objects of varied shapes and sizes. Each fingertip sensor can detect forces as small as three grams of pressure - sensitive enough to register the weight of a paperclip resting on your finger. • Multi-density foam to protect against pinch points, and is covered in soft textiles rather than hard machined parts. 9% less mass and less volume than Figure 02 • 10 Gbps mmWave data offload capability, allowing the entire fleet to upload terabytes of data • Upgraded audio hardware system for better real time speech-to-speech. Its speaker is twice the size and nearly four times more powerful, while the microphone has been repositioned for improved performance and clarity. • Charging coils in the robot’s feet allow it to simply step onto a wireless stand and charge at 2 kW Figure: "BotQ is Figure’s dedicated manufacturing facility designed to scale robot production. BotQ’s first-generation manufacturing line will initially be capable of producing up to 12,000 humanoid robots per year, with the goal of producing a total of 100,000 robots over the next four years. Instead of relying on contract manufacturers, Figure brought production of its most critical systems in-house to maintain tight control over quality, iteration, and speed."
6:00

NEWS: Figure has unveiling its 3rd generation humanoid robot. • Features a completely redesigned sensory suite and hand system. Wireless charging in feet. • Next-generation vision system engineered for high-frequency visuomotor control. Its new camera architecture delivers twice the frame rate, one-quarter the latency, and a 60% wider field of view per camera within a more compact form factor • Soft goods, wireless charging, improved audio system for voice reasoning, and battery safety advancements • "Engineered from the ground-up for high-volume manufacturing. In order to scale, we established a new supply chain and entirely new process for manufacturing humanoid robots at BotQ." • Lower manufacturing cost • Softer, more adaptive fingertips increase surface contact area, enabling more stable grasps across objects of varied shapes and sizes. Each fingertip sensor can detect forces as small as three grams of pressure - sensitive enough to register the weight of a paperclip resting on your finger. • Multi-density foam to protect against pinch points, and is covered in soft textiles rather than hard machined parts. 9% less mass and less volume than Figure 02 • 10 Gbps mmWave data offload capability, allowing the entire fleet to upload terabytes of data • Upgraded audio hardware system for better real time speech-to-speech. Its speaker is twice the size and nearly four times more powerful, while the microphone has been repositioned for improved performance and clarity. • Charging coils in the robot’s feet allow it to simply step onto a wireless stand and charge at 2 kW Figure: "BotQ is Figure’s dedicated manufacturing facility designed to scale robot production. BotQ’s first-generation manufacturing line will initially be capable of producing up to 12,000 humanoid robots per year, with the goal of producing a total of 100,000 robots over the next four years. Instead of relying on contract manufacturers, Figure brought production of its most critical systems in-house to maintain tight control over quality, iteration, and speed."

Sawyer Merritt

140,241 görüntüleme • 10 ay önce