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Excited to introduce you to Seb, the coding agent for hardware. Seb is trained for low level systems in highly-regulated environments. Thank you to the engineers and companies that already trust Seb with their hardware. The feedback from hundreds of Firmware, Embedded, and Hardware Engineers has been invaluable. If... show more

Ryan Eppley

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55,202 views • 3 months ago •via X (Twitter)

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Embedder is the world's first hardware-aware coding agent. By understanding and interacting directly with your hardware, it achieves state of the art performance in an embedded systems (C++/Rust) context. Our latest update (v0.3.0) features a stunning new terminal UI, and our fastest, most capable firmware agent yet: Embedder

Embedder is the world's first hardware-aware coding agent. By understanding and interacting directly with your hardware, it achieves state of the art performance in an embedded systems (C++/Rust) context. Our latest update (v0.3.0) features a stunning new terminal UI, and our fastest, most capable firmware agent yet: Embedder

Ethan Gibbs

435,499 views • 6 months ago

🚨: HARDWARE FOUNDERS this one is for you! If you’re building: > machines - from CNCs to circuits, from ships (space or sea - doesn't matter) to satellites > robots - arms, quadrupeds, humanoids, semi-humanoids, exoskeletons > drones or UAVs or things that fly > wearables rings or pendants or smart glasses or .... basically anything in hardware, manufacturing, industrial automation, or embodied AI ... we’ve built a Home for you! Whether you’re in Tokyo or Tennessee, Melbourne or Madrid, Singapore or San Francisco, Beijing or Berlin, Shenzhen or Stockholm, Bangalore or Boston, or Lima or London — if you’re building the physical future, you belong here⚒️ MOSAIX is a global network for hardware x AI founders — the first of its kind — designed to help you solve, scale, and sustain your vision. This is born out of years of working with hardware founders across the world and seeing how hard it is to build in hardware alone. Founders like you have a unique journey. You deal with machines, with grease, with soldering irons and sensors, with components and gears. Your challenges don’t look like those in the software world, and that’s exactly why MOSAIX exists. Our team spans China, India, Europe, and the U.S. and so does our purpose. We’re independent. We’re not backed by anyone. We don’t carry anyone’s agenda. Just a shared belief that hardware founders deserve a network of their own — a safe space, and a safety net. MOSAIX is invite-only. For now, joining is free. Welcome to the Age of Hardware. Welcome to the MOSAIX Network. More details in the tweet below.

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AML

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New example: Confetti Press the button to fire a burst of hardware-accelerated confetti into the air. This is also the first example to use joshpuckett's DialKit, so you can play around with different settings to get the exact effect you want.

New example: Confetti Press the button to fire a burst of hardware-accelerated confetti into the air. This is also the first example to use joshpuckett's DialKit, so you can play around with different settings to get the exact effect you want.

Motion

11,959 views • 5 months ago

Gabbit Robotics co-founder Nicole Mattero on why the next AI winners won't fight over your screen, they'll fight to get closer to you: She kicks things off with what she admits is a hot take: "My hot take is that hardware is the only moat going forward because anyone's going to be able to spin up a model and make it really good and really cheap." Her logic is simple. Once a strong model is cheap and easy for anyone to build, the model alone can't set you apart. So what actually protects you? "Where does that leave you? Basically companies that have tactile modes such as hardware are the only ones that actually survive." Hardware, though, is only one piece of her argument. The second piece is data: "The models that win in the long run are the ones where private data is their [moat]." From there, Mattero ties the two together. Hardware gives a company one moat. The ability to gather unique personal data gives it another. Put both in place and the edge starts to multiply: "When you have a company that has hardware as a [moat], but then B is able to collect really unique personal data, that also becomes a [moat]." And that, she says, is the reason so many foundation model companies are reaching beyond the screen and into the physical world: "That's why I think a lot of these foundation models are like, let's get something in the home or on the person. It gives them an edge on both fronts."

Gabbit Robotics co-founder Nicole Mattero on why the next AI winners won't fight over your screen, they'll fight to get closer to you: She kicks things off with what she admits is a hot take: "My hot take is that hardware is the only moat going forward because anyone's going to be able to spin up a model and make it really good and really cheap." Her logic is simple. Once a strong model is cheap and easy for anyone to build, the model alone can't set you apart. So what actually protects you? "Where does that leave you? Basically companies that have tactile modes such as hardware are the only ones that actually survive." Hardware, though, is only one piece of her argument. The second piece is data: "The models that win in the long run are the ones where private data is their [moat]." From there, Mattero ties the two together. Hardware gives a company one moat. The ability to gather unique personal data gives it another. Put both in place and the edge starts to multiply: "When you have a company that has hardware as a [moat], but then B is able to collect really unique personal data, that also becomes a [moat]." And that, she says, is the reason so many foundation model companies are reaching beyond the screen and into the physical world: "That's why I think a lot of these foundation models are like, let's get something in the home or on the person. It gives them an edge on both fronts."

Big Brain AI

19,195 views • 2 months ago

Before software engineers even begin writing code, they have to set the stage of the entire development process. This process requires engineers to make complex tradeoffs between requirements, system design, and implementations details. Current IDEs that rely on AI features, like chat and inline coding, can help engineers get the job done quickly on small development tasks. Still, engineers spend much more time on larger projects—even after the initial code is generated—by conducting rigorous testing and creating documentation. This is where today’s AI IDEs can do more to accelerate the development lifecycle—and this is why we built Kiro. Kiro is an AI IDE that helps you go from prototype to production with spec-driven development and agent hooks. From simple to complex tasks, Kiro works alongside you to turn prompts into detailed specs, then into working code, docs, and test so what you build is exactly what you want and ready to share with your team. After a developer builds the code with Kiro, Kiro’s agent hooks help engineers solve challenging problems and automate tasks like generating documentation and unit tests. Kiro brings structure and mature engineering practices to AI coding, so you can go from concept to application while being in the driver’s seat every step of the way. Kiro is free during preview, and supports Mac, Windows, and Linux, and most popular programming languages. We're excited for you to try it out and let us know what you think ➡️

Before software engineers even begin writing code, they have to set the stage of the entire development process. This process requires engineers to make complex tradeoffs between requirements, system design, and implementations details. Current IDEs that rely on AI features, like chat and inline coding, can help engineers get the job done quickly on small development tasks. Still, engineers spend much more time on larger projects—even after the initial code is generated—by conducting rigorous testing and creating documentation. This is where today’s AI IDEs can do more to accelerate the development lifecycle—and this is why we built Kiro. Kiro is an AI IDE that helps you go from prototype to production with spec-driven development and agent hooks. From simple to complex tasks, Kiro works alongside you to turn prompts into detailed specs, then into working code, docs, and test so what you build is exactly what you want and ready to share with your team. After a developer builds the code with Kiro, Kiro’s agent hooks help engineers solve challenging problems and automate tasks like generating documentation and unit tests. Kiro brings structure and mature engineering practices to AI coding, so you can go from concept to application while being in the driver’s seat every step of the way. Kiro is free during preview, and supports Mac, Windows, and Linux, and most popular programming languages. We're excited for you to try it out and let us know what you think ➡️

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A keyboard built for the pros 🔥 Our Valorant team were asked to give their feedback on their ROG Global hardware, and here is what they thought!

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USE CODE “50” to get our 50% off promo from now until Saturday morning. We’re going up in price and wanna get as MANY of you locked in for our $15/month price as possible. If you join, you’ll pay $7.50 today for your first month, then $15 a month for the rest of your time instead of $34.99 a month. (Type in 50 then hit space before hitting “apply for code to work)

USE CODE “50” to get our 50% off promo from now until Saturday morning. We’re going up in price and wanna get as MANY of you locked in for our $15/month price as possible. If you join, you’ll pay $7.50 today for your first month, then $15 a month for the rest of your time instead of $34.99 a month. (Type in 50 then hit space before hitting “apply for code to work)

B Dunk

119,365 views • 2 years ago

ABB is a large international hardware company. ABB makes electric power systems, including a lot of the large electrical hardware at many Tesla Supercharger installations around the world. ABB restructured parts of their company, some of the product engineering parts and some of HR and other areas, to give the engineers more authority. The leader said they wanted real agile, where engineers don't wait to be told what products to build, but proactively try products in the market to find what helps customers and grows the company. That was 3 years ago. They wanted to re-energize the staff. They requested me to give a shocking, exciting, inspiring keynote about engineers as product leaders to reduce waiting and increase innovation. They joined from offices in Italy and Switzerland and I joined remote from Japan. I am so so grateful the ABB sponsors then let me share the recording publicly.

ABB is a large international hardware company. ABB makes electric power systems, including a lot of the large electrical hardware at many Tesla Supercharger installations around the world. ABB restructured parts of their company, some of the product engineering parts and some of HR and other areas, to give the engineers more authority. The leader said they wanted real agile, where engineers don't wait to be told what products to build, but proactively try products in the market to find what helps customers and grows the company. That was 3 years ago. They wanted to re-energize the staff. They requested me to give a shocking, exciting, inspiring keynote about engineers as product leaders to reduce waiting and increase innovation. They joined from offices in Italy and Switzerland and I joined remote from Japan. I am so so grateful the ABB sponsors then let me share the recording publicly.

JoeJustice 💪🦾

28,269 views • 1 year ago

The best way to not get your Bitcoin stolen is to use a multi key setup with a mix of hardware wallets. Here is a multi key setup anybody can use, because they walk you through the setup: (Code Breedlove gets you something)

The best way to not get your Bitcoin stolen is to use a multi key setup with a mix of hardware wallets. Here is a multi key setup anybody can use, because they walk you through the setup: (Code Breedlove gets you something)

Robert ₿reedlove

101,186 views • 13 days ago

"If you're an insurgent party, it's like riding a bicycle, you've got to keep going or you fall off - and you collapse." The Times' Seb Payne says it's the first time Reform have "not topped the polls" in 15 months and May's local election could have been their peak. #Newsnight

"If you're an insurgent party, it's like riding a bicycle, you've got to keep going or you fall off - and you collapse." The Times' Seb Payne says it's the first time Reform have "not topped the polls" in 15 months and May's local election could have been their peak. #Newsnight

BBC Newsnight

25,523 views • 14 days ago

Has anyone noticed now how cars come with features but you can’t use them unless you pay them a subscription fee? I imagine the price of the car has the hardware for the feature already in it included in the price. They are charging people to use their own navigation, listen to music, heated seats and more, how is this legal?

Has anyone noticed now how cars come with features but you can’t use them unless you pay them a subscription fee? I imagine the price of the car has the hardware for the feature already in it included in the price. They are charging people to use their own navigation, listen to music, heated seats and more, how is this legal?

SonnyBoy🇺🇸

1,114,508 views • 7 months ago

For the DGX Spark owners. This is what you get with DS4 in your hardware. I want to post this to show how with fast prefill and not very fast generation, the system remains absolutely fine to use.

For the DGX Spark owners. This is what you get with DS4 in your hardware. I want to post this to show how with fast prefill and not very fast generation, the system remains absolutely fine to use.

antirez

40,085 views • 2 months ago

"Hardware is hard." - Elon Musk Thrive Capital Partner Philip Clark on why investing in hardware has never been more attractive: "Hardware businesses can be enormously durable once you get them off the ground." "It's really hard to imagine who is possibly going to disrupt SpaceX at this point." "It's harder because there is often an operational aspect to hardware investing, where I don't just have to build a product and press a 'ship the binary' button on a computer." "I actually have to have a manufacturing line and a deployment line that gets this out into the real world." " When you get over the hump of these really, really hard industries and problems—you actually have built something at scale that is very hard to quickly replicate."

"Hardware is hard." - Elon Musk Thrive Capital Partner Philip Clark on why investing in hardware has never been more attractive: "Hardware businesses can be enormously durable once you get them off the ground." "It's really hard to imagine who is possibly going to disrupt SpaceX at this point." "It's harder because there is often an operational aspect to hardware investing, where I don't just have to build a product and press a 'ship the binary' button on a computer." "I actually have to have a manufacturing line and a deployment line that gets this out into the real world." " When you get over the hump of these really, really hard industries and problems—you actually have built something at scale that is very hard to quickly replicate."

sourcery

11,398 views • 2 months ago

Elon: "There is some chance that HW3 does not achieve the safety level that allows for unsupervised FSD. There is some chance of that. And if that turns out to be the case, we will upgrade those who bought hardware 3 FSD for free. We're going to have to upgrade people's hardware 3 computer for those that have bought Full Self-Driving. And that is the honest answer. And that's going to be painful and difficult, but we'll get it done. What we want to do is we want to get unsupervised done on Hardware 4 first. Once it's done, then we'll go back and look at what we need to do with Hardware 3 cars. Yeah, we've not completely given up on HW3, but we do want to solve autonomy first, and then we'll come back with a way to take care of customers. These customers are very important. They were the early adopters. We will definitely take care of you guys. Once the V14 release series is fully done, we are planning on working on a V14 lite version for Hardware 3, probably expected in Q2 next year"

Elon: "There is some chance that HW3 does not achieve the safety level that allows for unsupervised FSD. There is some chance of that. And if that turns out to be the case, we will upgrade those who bought hardware 3 FSD for free. We're going to have to upgrade people's hardware 3 computer for those that have bought Full Self-Driving. And that is the honest answer. And that's going to be painful and difficult, but we'll get it done. What we want to do is we want to get unsupervised done on Hardware 4 first. Once it's done, then we'll go back and look at what we need to do with Hardware 3 cars. Yeah, we've not completely given up on HW3, but we do want to solve autonomy first, and then we'll come back with a way to take care of customers. These customers are very important. They were the early adopters. We will definitely take care of you guys. Once the V14 release series is fully done, we are planning on working on a V14 lite version for Hardware 3, probably expected in Q2 next year"

Whole Mars Catalog

700,623 views • 6 months ago

Presenting: $PALM AI Applications System Hardware 📹 Watch the Reveal Teaser from below ✅ The first Web3 related microcontroller-based device that combines offline voice recognition with in-built AI profiles, performing on electronic circuits straight from the breadboard it was incepted from. 1️⃣ The next steps are to document the use cases of our system, which can be integrated into existing devices and physical services in real life. We will be sure to document and publish processes as the device goes into factory production all the way to shipping them out and showcasing the real-world adoption of our products. 2️⃣ Our hardware is built for flexibility and to innovate on, and we will be working with the top experts in the field to make the best out of it and is built to allow the device structure to be embedded as the smart component of any and all devices. ⌛️Stay tuned for the first use-case reveal of our AI Applications System inside an AI-enhanced, by default offline hardware wallet, fully built from scratch by our talented team. 🙏 Finally, thank you for the continued support. We will keep working as hard as ever. Enjoy the reveal.

Presenting: $PALM AI Applications System Hardware 📹 Watch the Reveal Teaser from below ✅ The first Web3 related microcontroller-based device that combines offline voice recognition with in-built AI profiles, performing on electronic circuits straight from the breadboard it was incepted from. 1️⃣ The next steps are to document the use cases of our system, which can be integrated into existing devices and physical services in real life. We will be sure to document and publish processes as the device goes into factory production all the way to shipping them out and showcasing the real-world adoption of our products. 2️⃣ Our hardware is built for flexibility and to innovate on, and we will be working with the top experts in the field to make the best out of it and is built to allow the device structure to be embedded as the smart component of any and all devices. ⌛️Stay tuned for the first use-case reveal of our AI Applications System inside an AI-enhanced, by default offline hardware wallet, fully built from scratch by our talented team. 🙏 Finally, thank you for the continued support. We will keep working as hard as ever. Enjoy the reveal.

PaLM AI - $PALM

166,276 views • 2 years ago

Jensen Huang just explained why every company cutting engineers over AI is asking the entirely wrong question. Huang: “People say, I don’t need software engineers because apparently coding is going to be automated.” That was the narrative. Here is what Huang actually did. Huang: “I’ve given AIs to every one of my software engineers and hardware engineers and engineers period. 100% of NVIDIA has AI assistants, AI coders, and they’re busier than ever.” Not fewer engineers. Not smaller teams. Busier than ever. That is the line most companies are getting completely wrong right now. They hear “AI can write code” and immediately start cutting headcount. Huang did the opposite. He armed everyone. Huang: “And so the question is, what is the task versus what is the job? No different than a financial analyst; the task is mess around with spreadsheets, but the job is to make financial advice. The job is to help a customer.” Writing code was always the task. It was never the job. The job is architecture. Knowing what to build. Why it matters. How it fits into a system that actually creates value. Code is the execution layer between the idea and the outcome. Nothing more. When you automate that layer, you don’t eliminate the engineer. You eliminate the bottleneck between what they can envision and what they can ship. The companies using AI to cut headcount are optimizing for cost. The companies using AI to multiply output are optimizing for territory. Nvidia chose territory. Every engineer at the most valuable semiconductor company on Earth now operates with an AI assistant. Not a pilot program. Not an experiment. Company-wide. Every function. Every team. And the result is not less work. It is more work. Faster. At a scale that was physically impossible twelve months ago. The companies that understand the difference between eliminating engineers and unleashing them will build what comes next. The ones that don’t will watch their best talent walk out the door to the ones that did.

Jensen Huang just explained why every company cutting engineers over AI is asking the entirely wrong question. Huang: “People say, I don’t need software engineers because apparently coding is going to be automated.” That was the narrative. Here is what Huang actually did. Huang: “I’ve given AIs to every one of my software engineers and hardware engineers and engineers period. 100% of NVIDIA has AI assistants, AI coders, and they’re busier than ever.” Not fewer engineers. Not smaller teams. Busier than ever. That is the line most companies are getting completely wrong right now. They hear “AI can write code” and immediately start cutting headcount. Huang did the opposite. He armed everyone. Huang: “And so the question is, what is the task versus what is the job? No different than a financial analyst; the task is mess around with spreadsheets, but the job is to make financial advice. The job is to help a customer.” Writing code was always the task. It was never the job. The job is architecture. Knowing what to build. Why it matters. How it fits into a system that actually creates value. Code is the execution layer between the idea and the outcome. Nothing more. When you automate that layer, you don’t eliminate the engineer. You eliminate the bottleneck between what they can envision and what they can ship. The companies using AI to cut headcount are optimizing for cost. The companies using AI to multiply output are optimizing for territory. Nvidia chose territory. Every engineer at the most valuable semiconductor company on Earth now operates with an AI assistant. Not a pilot program. Not an experiment. Company-wide. Every function. Every team. And the result is not less work. It is more work. Faster. At a scale that was physically impossible twelve months ago. The companies that understand the difference between eliminating engineers and unleashing them will build what comes next. The ones that don’t will watch their best talent walk out the door to the ones that did.

Dustin

82,757 views • 4 months ago

Holy moly: What level of access do you have to that [OpenAI, ChatGPT]? Satya Nadella: "All of it." You just get the IP for all of that? So the only IP you don't have is consumer hardware? Satya "That's it."

Holy moly: What level of access do you have to that [OpenAI, ChatGPT]? Satya Nadella: "All of it." You just get the IP for all of that? So the only IP you don't have is consumer hardware? Satya "That's it."

Chubby♨️

189,626 views • 9 months ago

Modern (Modern) is building the AI-native operating system for IT, with secure agents that automate help desk, access, devices, security, and on/off-boarding end-to-end. Congrats on the launch, Seb Poole & Aleksandar Tomovski!

Modern (Modern) is building the AI-native operating system for IT, with secure agents that automate help desk, access, devices, security, and on/off-boarding end-to-end. Congrats on the launch, Seb Poole & Aleksandar Tomovski!

Y Combinator

29,932 views • 3 months ago