@NoetiveAI research blogpost ... building Intelligence for the physical economy with recursive self-improvement (RSI)
Introducing Noetive, an AI lab for industrial businesses that keep the world running.
We are building self-improving AI to run the $30 trillion physical economy: factories, logistics, energy and data centers. We call it Intelligence Of Record.
We’ve raised $41M in seed funding to bring this to life.
Today @NoetiveAI (https://t.co/UquiHJiLDf) is emerging from stealth with $41 million in seed funding, founded by @Amirfrenkel and @DanBarak. We are building the Intelligence of Record for the Physical Economy.
AI has transformed information work. It has not yet transformed the $30 trillion physical economy: the factories, fleets, and job sites where thousands of variables change every day and the knowledge that matters most still lives in one person's head.
At Noetive, we are building the Intelligence of Record for the physical economy. A ‘brain’ – a self-improving AI that learns how a business truly runs and works alongside its team. It also includes the ‘eyes & ears’ – an advanced multi-modal sensing pod, a device that expands the brain's ability to perceive and reason about the environment and the business.
We are already in the field partnering and working closely with design partners across manufacturing & logistics.
We built this company with some of the best venture firms, operators, entrepreneurs and builders that joined us for this journey
A huge thank you to our partners at @EclipseVentures , @craft_ventures, @TheWestlyGroup, Swish Ventures, FactoryHQ, @gigascale, @incitedotorg , @Liquid2V , Operator Partners, @boztank , @Ahmad_Al_Dahle , @MattLRogers, Yaser Sheikh, @schrep, @bsofman, @DLeitersdorf, @OLeitersdorf, @makavy, @MosheSshalev, @Casspi18 , @orristr989, @SteveWestly , @Mike_Rob_Craft , @taylordurand_ , for your support, guidance and companionship.
We are hiring AI researchers and full-stack AI-native engineers who want to take frontier research into the real world.
Check our new site (https://t.co/UquiHJiLDf) and follow us Linkedin (https://t.co/X4z1Gc5bot)
Full Press Release: https://t.co/Akko1z6epE
𝗜𝗻𝘁𝗿𝗼𝗱𝘂𝗰𝗶𝗻𝗴 𝗡𝗼𝗲𝘁𝗶𝘃𝗲 🚀
After five months in stealth I am excited to introduce to you … 𝗡𝗼𝗲𝘁𝗶𝘃𝗲 (https://t.co/Dw8kR83vXe)
@NoetiveAI is a new kind of AI lab, building the foundational models and agents that help every business across the physical Economy live up to its true potential – We call it 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 𝗼𝗳 𝗥𝗲𝗰𝗼𝗿𝗱.
𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 𝗼𝗳 𝗥𝗲𝗰𝗼𝗿𝗱 is a self-improving AI that works alongside teams. Our agents sit on top of the systems already in use, learn how the business truly runs, and take on the hardest parts of running it — delivering operational excellence day to day and sharper strategic insight over time, so the business keeps getting better and unlocking the potential that was always there.
As a founder you always want to make sure you have the right people along for the ride, so I started with @DanBarak, my great co-founder I have known for 28 years (OMG?!?! Has it been that long).
To allow you to dream big and build even bigger, you need an incredible founding team to make it all possible – I am so humbled and grateful for the exceptional team that we were able to put together to go tackle our lofty goal.
Last but not least I am excited to be building with, alongside and with the guidance of incredible venture firms, operators, entrepreneurs and builders who are there with me at every step of the way.
We are growing. I am looking for exceptional people to join Noetive. We are hiring (https://t.co/htJw1pYZ6r) AI researchers and full-stack AI-native engineers who want to take frontier research into the real world and make a dent in the universe.
Thank you @EclipseVentures, @craft_ventures , @TheWestlyGroup , Swish Ventures, FactoryHQ @gigascale, @incitedotorg , @Liquid2V, Operator Partners, @boztank, @Ahmad_Al_Dahle , @MattLRogers, Lior Susan, Yaser Sheikh, @schrep, @bsofman, @DLeitersdorf, @OLeitersdorf, @MosheSshalev, @Casspi18, @makavy, @orristr989 , Ryan Gibson, Shaun Chaudhuri, @Mike_Rob_Craft, @taylordurand_ , Steve Westly, for your support, guidance and companionship.
Follow us on LinkedIn: https://t.co/bVQDs2BHui
Noetive's Full post: https://t.co/umBgdZQOWX
Let’s go!
Our paper, "Spectral Bellman Method: Unifying Representation and Exploration in RL," has been accepted to ICLR 2026! 🚀
Paper: https://t.co/jq1wMs6Js0
with @guytenn , Bo Dai and Shie Mannor
🧵 1/n
Ever had a perfect image in mind that a text-to-image model just couldn't capture? Our new reinforcement learning agent, PASTA, turns image generation into a collaborative conversation, learning your style to bring your vision to life. Learn how it works: https://t.co/hsCClVJaAF
We train an LLM to be "aware" of how it will be used during inference. We show we can do this efficiently in SFT and RL under a Best-of-N inference strategy. Our model explores more efficiently and accounts for errors in our scoring model. Check it out: https://t.co/q40KrVBgVq
We're releasing a new dataset with sequential interactions for text to image generation with human feedback. More data will follow very soon.
Paper: https://t.co/DLdtcPk1Wc
Dataset: https://t.co/3kaRfiloDs
We're excited to share our new paper: "Personalized and Sequential Text-to-Image Generation"!
Check out the paper and our new sequential human rater dataset! 👇
Paper: https://t.co/kyvBHZ5Uja
Dataset: https://t.co/UmZ2RZJ3Ro
Details below..
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How can we address hidden confounding biases in #OfflineRL?
Presenting our latest work with fantastic co-authors @hugoyeche@bschoelkopf@gxr@guytenn at #ICML2023 workshops: LCDS (today, Fri), CMM (Sat) and oral at SCIS (Sat)!
📝: https://t.co/SYMnbgM29j (1/3)
We released a multi-agent RL framework for network congestion control with the first public realistic network simulator! https://t.co/nzrj0gngNO. Based on the amazing work of @BenjaminFuhrer and @ChenTessler
✨When I joined @DeepMind, I dreamed of using AI to impact the lives of billions of people.
Today in @Nature I am proud to present our system AlphaDev that has discovered enhanced fundamental algorithms in computer science! 🚀
A quick thread. 🧵
Major kudos to @AlizeePace for leading this innovative work and to all collaborators (Hugo Yèche, @BSchoelkopf, and Gunnar Rätsch) for their valuable contributions. Your thoughts on our work are most welcome! [5/5] https://t.co/FpcKSdiDk2
Very happy to share our new paper: "Delphic Offline Reinforcement Learning under Nonidentifiable Hidden Confounding" led by the brilliant @AlizeePace. Dive into a short research thread below! 🧵👇 [1/5] https://t.co/FpcKSdi5uu
We construct a practical approach to estimate these three types of uncertainties, contributing to a more effective offline RL algorithm that performs well on synthetic and real-world medical data, improving sota offline RL performance. [4/5]