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The hardest problems in AI aren't research problems anymore. They're deployment problems. It’s how we actually deliver real value, today, to build the future people want. That’s why, after 20 years in AI, my next step was inevitable: make robots do useful work for and alongside people, right now....

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Adrien Gaidon

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64,603 görüntüleme • 3 ay önce •via X (Twitter)

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David Vivancos - e/acc profil fotoğrafı
David Vivancos - e/acc3 ay önce

Congrats @adnothing and team eager to see what you build!

Marwa ElDiwiny profil fotoğrafı
Marwa ElDiwiny3 ay önce

Congrats!

Sedrick Keh profil fotoğrafı
Sedrick Keh3 ay önce

Congrats Adrien!

Craig Merry profil fotoğrafı
Craig Merry3 ay önce

🥳

Senthilnathan K profil fotoğrafı
Senthilnathan K3 ay önce

This is massive! Russ’s lessons in robotics has had the most foundational impact personally, great to see this team up.

Shara profil fotoğrafı
Shara3 ay önce

Deployment being the harder problem than research is an honest framing.

John Dagdelen profil fotoğrafı
John Dagdelen3 ay önce

Congrats on the announcement! Excited to see what you guys are doing go public!

BuyThisDomains.com | Domain Escrow Services profil fotoğrafı
BuyThisDomains.com | Domain Escrow Services3 ay önce

Congrats

Alessandra Massa profil fotoğrafı
Alessandra Massa3 ay önce

Congrats Adrien!! The website and video turned out so well!

AI Mastery Guide profil fotoğrafı
AI Mastery Guide3 ay önce

Real robots doing real work on a Toyota line since February is a strong proof point over the usual demo reveals.

Ilman Shazhaev profil fotoğrafı
Ilman Shazhaev3 ay önce

Getting robots into a factory in under two months is a fast pace. Seeing them do actual work on a production line beats any demo I've seen lately. Congrats Adrien.

Gokberk Cinbis profil fotoğrafı
Gokberk Cinbis3 ay önce

Congratulations!!

cnc masch buddy profil fotoğrafı
cnc masch buddy3 ay önce

Congrats! Do you guys need gears or reducers? Would be glad to help

Jonathan Fontanez profil fotoğrafı
Jonathan Fontanez3 ay önce

Agreed, I think the software side is especially underserved. It’s hard to go from research to practical deployment. There’s a missing layer of a well rounded stack and usable developer experience.

Tal Cohen | Physical AI profil fotoğrafı
Tal Cohen | Physical AI3 ay önce

This captures the real transition. For a long time the central question was whether intelligence could become capable enough. Now the harder question is what happens when that intelligence begins to act in environments where its decisions leave irreversible traces. Capability is advancing. The deeper work is learning how to live with intelligence that carries consequence.

Jason傑森 🇭🇰 | 🛠️ profil fotoğrafı
Jason傑森 🇭🇰 | 🛠️3 ay önce

真敢拿钱往真人摔

EB1A Experts profil fotoğrafı
EB1A Experts3 ay önce

Real-world deployment is the ultimate benchmark. Congrats on the launch.

Branding Waves profil fotoğrafı
Branding Waves3 ay önce

The move from demos to daily operations is the real milestone.

Hoy 🤙 profil fotoğrafı
Hoy 🤙3 ay önce

Robots running a real Toyota line!

Jack profil fotoğrafı
Jack3 ay önce

Congrats! Do you guys need gears or reducers? Would be glad to help😃

Manish | Skygnosis profil fotoğrafı
Manish | Skygnosis3 ay önce

this matches what breaks in practice. the models are good enough; the failure is almost always the error path — a tool call times out, nothing retries, nothing hard-fails, and the agent confidently reports success on a task it never finished. that's not research, it's plumbing.

Sharoon Irfan profil fotoğrafı
Sharoon Irfan3 ay önce

This is the conversation nobody in AI research wants to have. We built a model that hit 94% on benchmarks and then couldn't handle a real warehouse environment because the sim-to-real gap is still massive. What deployment environments are you targeting first?

Erika Reed profil fotoğrafı
Erika Reed2 ay önce

The full-stack approach makes a lot of sense. Real deployment depends on much more than just having a capable model.

Akeil Smith profil fotoğrafı
Akeil Smith3 ay önce

deployment was always the hard part. research just had better pr because a demo is easy and a rollout is not

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microagi x ElevenLabs: what happens when you work together with a robot? Language has always been at the heart of human connection. It's how we share ideas, build communities, and understand one another. We believe this will be just as important in how we connect with robots. At microagi, we envision a world where robots work alongside us as a normal part of everyday life, where asking one for help feels as natural as asking the person beside us. For that to happen, we need to be able to speak to them directly, without a screen or control panel, and trust that we have been understood. With ElevenLabs, we are working to make those conversations possible. We are giving our robots a voice, and shaping how they listen and respond to the people around them. Here’s an early look at how future robots could talk with us.

Bercan

51,311 görüntüleme • 1 ay önce

Here we go again 🚀! Excited to announce that we're building A1Zap (YC W25) with Pennie Li and that we're in the Y Combinator W25 batch in San Francisco! What is A1Base? A1Base gives AI Agents a real world identity for work. We do that by rebuilding Twilio and Okta from the ground up, putting AI Agents first. This means developers can make AI-first agentic applications 10x easier with our API's. ⁉️ Why are we doing this? Because there's a huge torrent of new valuable companies possible with AI agents, but to get their AI Agents to users, they have to chain custom apps, chat interfaces, awkward Slack integrations, browser bots, and wrestle with Twilio’s legacy API (which is built for marketing). We solve this by providing developers with an easy to use API to interface your AI agent with humans/coworkers/users where they are in this case in Whatsapp, Slack, Teams, SMS and more) - with AI Agent features built in. These digital workers are poised to transform how we work and we're the critical infrastructure to help them interact naturally in human workflows. We're not just building another AI tool. We're creating the infrastructure that will enable AI agents to become a natural part of the workforce - handling everything from customer support to sales development to creative work. We're backed by Y Combinator and working with founding teams who share our vision. We believe that in the near future, AI Agents with human coworkers will enable us to pursue more creative and impactful work. Our mission is to help developers build AI Agents that people can partner with and rely on as trusted allies—always with a human-first mindset. If you're thinking about the Agentic future of your company reach out! If you're looking to build your first AI Agentic company - reach out too - we have some amazing open source templates to get you started on the journey. Excited to share more of what we're up to soon 🔜.
1:52

Here we go again 🚀! Excited to announce that we're building A1Zap (YC W25) with Pennie Li and that we're in the Y Combinator W25 batch in San Francisco! What is A1Base? A1Base gives AI Agents a real world identity for work. We do that by rebuilding Twilio and Okta from the ground up, putting AI Agents first. This means developers can make AI-first agentic applications 10x easier with our API's. ⁉️ Why are we doing this? Because there's a huge torrent of new valuable companies possible with AI agents, but to get their AI Agents to users, they have to chain custom apps, chat interfaces, awkward Slack integrations, browser bots, and wrestle with Twilio’s legacy API (which is built for marketing). We solve this by providing developers with an easy to use API to interface your AI agent with humans/coworkers/users where they are in this case in Whatsapp, Slack, Teams, SMS and more) - with AI Agent features built in. These digital workers are poised to transform how we work and we're the critical infrastructure to help them interact naturally in human workflows. We're not just building another AI tool. We're creating the infrastructure that will enable AI agents to become a natural part of the workforce - handling everything from customer support to sales development to creative work. We're backed by Y Combinator and working with founding teams who share our vision. We believe that in the near future, AI Agents with human coworkers will enable us to pursue more creative and impactful work. Our mission is to help developers build AI Agents that people can partner with and rely on as trusted allies—always with a human-first mindset. If you're thinking about the Agentic future of your company reach out! If you're looking to build your first AI Agentic company - reach out too - we have some amazing open source templates to get you started on the journey. Excited to share more of what we're up to soon 🔜.

Pasha Rayan

54,029 görüntüleme • 1 yıl önce

Today, we’re thrilled to announce our $200M Series C funding round at a $1B valuation, led by RoboStrategy and existing investors including General Catalyst. Standard Bots is now America’s largest manufacturer of AI-native industrial robots. Our customers include Sunoco, Lockheed Martin, NASA, and the US Army along with hundreds of other manufacturers across the country. We’re proud to say that we’re on track to deploy 10% of all U.S. industrial robots by next year. We are expanding our Glen Cove, New York facility to 70,000 square feet to scale our vertically integrated production process. We currently design almost all our own parts, including our own actuators, and we assemble every final product in-house. By 2027, we’ll manufacture everything — from metal in to robots out — right here in America. We believe AI-native robots are the essential power tool of the 21st century — the tool that will grow American manufacturing and help every American worker to be a force at work. You just show your robot how it’s done, and it learns through demonstration. No coding, no consultants, just unbox and deploy faster than anything else on the market. Right now it’s possible for the United States to revitalize our manufacturing base if we become the worldwide leader in this transformative technology. We must build American robots, and put them to work in American factories. It’s a national imperative, and it’s our central mission. This fundraise gets us one step closer to the goal. The future of American manufacturing is bright! Join Standard Bots, and show your robot how it’s done — we’re just getting started.
2:21

Today, we’re thrilled to announce our $200M Series C funding round at a $1B valuation, led by RoboStrategy and existing investors including General Catalyst. Standard Bots is now America’s largest manufacturer of AI-native industrial robots. Our customers include Sunoco, Lockheed Martin, NASA, and the US Army along with hundreds of other manufacturers across the country. We’re proud to say that we’re on track to deploy 10% of all U.S. industrial robots by next year. We are expanding our Glen Cove, New York facility to 70,000 square feet to scale our vertically integrated production process. We currently design almost all our own parts, including our own actuators, and we assemble every final product in-house. By 2027, we’ll manufacture everything — from metal in to robots out — right here in America. We believe AI-native robots are the essential power tool of the 21st century — the tool that will grow American manufacturing and help every American worker to be a force at work. You just show your robot how it’s done, and it learns through demonstration. No coding, no consultants, just unbox and deploy faster than anything else on the market. Right now it’s possible for the United States to revitalize our manufacturing base if we become the worldwide leader in this transformative technology. We must build American robots, and put them to work in American factories. It’s a national imperative, and it’s our central mission. This fundraise gets us one step closer to the goal. The future of American manufacturing is bright! Join Standard Bots, and show your robot how it’s done — we’re just getting started.

Standard Bots

438,933 görüntüleme • 4 ay önce

Announcing Axol: a dual-arm robot designed for teams working with physical AI. Made in America. Axol is for builders who believe robots should work, in the real world, not just staged environments, and that the future of physical AI should be open, not closed. #robotics #automation #ai #hardware
2:22

Announcing Axol: a dual-arm robot designed for teams working with physical AI. Made in America. Axol is for builders who believe robots should work, in the real world, not just staged environments, and that the future of physical AI should be open, not closed. #robotics #automation #ai #hardware

Almond Robotics

64,774 görüntüleme • 4 ay önce

One of the biggest surprises in AI over the last few years has been how well coding agents generalize beyond software. In a recent essay, MIT professor Philip Isola argued that we may be entering the era of robot-use agents: general-purpose models that can control different robots, write policies, and learn new physical tasks with little or no robot-specific training. In this episode of Decoded, we're joined by the founders of Waddle Labs and Robocurve PBC, two of the startups whose work helped drive this realization. They're working at the frontier of using general-purpose models to control robots, and their recent demos helped inspire the growing conversation around robot-use agents. Together, we dig into the research behind that idea, from code-as-policies and vision-language-action models to the harnesses and evals needed to make these systems work in the real world. 00:00 — What Are Robot-Use Agents? 02:11 — From Vision-Language-Action Models to General LLMs 04:07 — The Bitter Lesson for Robotics 07:04 — How Coding Agents Learned to Control Robots 10:41 — How Robots Learn From Experience 14:22 — The Harness as a Form of Robot Intelligence 16:14 — Watching Astra Control a Robot 20:55 — Why General Models May Win in Robotics 26:05 — How Close Are General-Purpose Robots?
29:49

One of the biggest surprises in AI over the last few years has been how well coding agents generalize beyond software. In a recent essay, MIT professor Philip Isola argued that we may be entering the era of robot-use agents: general-purpose models that can control different robots, write policies, and learn new physical tasks with little or no robot-specific training. In this episode of Decoded, we're joined by the founders of Waddle Labs and Robocurve PBC, two of the startups whose work helped drive this realization. They're working at the frontier of using general-purpose models to control robots, and their recent demos helped inspire the growing conversation around robot-use agents. Together, we dig into the research behind that idea, from code-as-policies and vision-language-action models to the harnesses and evals needed to make these systems work in the real world. 00:00 — What Are Robot-Use Agents? 02:11 — From Vision-Language-Action Models to General LLMs 04:07 — The Bitter Lesson for Robotics 07:04 — How Coding Agents Learned to Control Robots 10:41 — How Robots Learn From Experience 14:22 — The Harness as a Form of Robot Intelligence 16:14 — Watching Astra Control a Robot 20:55 — Why General Models May Win in Robotics 26:05 — How Close Are General-Purpose Robots?

Y Combinator

94,714 görüntüleme • 1 ay önce

We're winning the AI browser wars, and we're not even trying. Our mission isn't to build a browser. We're an agent company, not a browser company. We've seen firsthand how teams struggle to get started with AI. The tools they tried are too complex and lack the context you need. We decided to build a browser since it's already the tool you work in. We all know how to use a browser. You can pick up Strawberry and start using AI agents from day one. By building a browser we are also positioning ourselves to build towards the internet of the future. An internet where trillions of agents will be communicating with each other. This is the biggest opportunity of our lifetime. But someone has to make sure it is safe, effective and accessible to teams across the world. That is our mission.
0:52

We're winning the AI browser wars, and we're not even trying. Our mission isn't to build a browser. We're an agent company, not a browser company. We've seen firsthand how teams struggle to get started with AI. The tools they tried are too complex and lack the context you need. We decided to build a browser since it's already the tool you work in. We all know how to use a browser. You can pick up Strawberry and start using AI agents from day one. By building a browser we are also positioning ourselves to build towards the internet of the future. An internet where trillions of agents will be communicating with each other. This is the biggest opportunity of our lifetime. But someone has to make sure it is safe, effective and accessible to teams across the world. That is our mission.

Charles Maddock

42,381 görüntüleme • 4 ay önce

Today, we're announcing our Series B: $200M at a $3.1B valuation, and the release of Arena's Alignment Index. AI is advancing faster than our ability to evaluate it. The world needs a neutral third party to measure how safe and aligned AI actually is once it's in the hands of real people. That's the role Arena is stepping into today. The Alignment Index is built from real-world agent traces, starting with three signals: Unauthorized Action, False Attribution, and Deceptive Completion, with results for over 20 frontier models launching today. Hear more from our CEO Anastasios Nikolas Angelopoulos below, and read the full breakdown, and more details about our company growth in thread. This funding will allow us to go further on safety signals, agentic capabilities, and modalities. It will also allow us to grow the company to match the scale of our mission. Today, we’re still a nimble team of 90, and we're looking for people to join us across research, product, engineering, and more. Come build with us. As AI gets more capable and autonomous, understanding how well it can safely and effectively work for people only matters more. That's what Arena is built to measure and advance. Thank you to our community, our investors, and everyone building with us! Take a look at our open roles if you want to join us (link in bio).
2:12

Today, we're announcing our Series B: $200M at a $3.1B valuation, and the release of Arena's Alignment Index. AI is advancing faster than our ability to evaluate it. The world needs a neutral third party to measure how safe and aligned AI actually is once it's in the hands of real people. That's the role Arena is stepping into today. The Alignment Index is built from real-world agent traces, starting with three signals: Unauthorized Action, False Attribution, and Deceptive Completion, with results for over 20 frontier models launching today. Hear more from our CEO Anastasios Nikolas Angelopoulos below, and read the full breakdown, and more details about our company growth in thread. This funding will allow us to go further on safety signals, agentic capabilities, and modalities. It will also allow us to grow the company to match the scale of our mission. Today, we’re still a nimble team of 90, and we're looking for people to join us across research, product, engineering, and more. Come build with us. As AI gets more capable and autonomous, understanding how well it can safely and effectively work for people only matters more. That's what Arena is built to measure and advance. Thank you to our community, our investors, and everyone building with us! Take a look at our open roles if you want to join us (link in bio).

Arena.ai

116,004 görüntüleme • 19 gün önce