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Today we’re introducing flow, micro1’s next-generation data platform for turning human expertise into measurable capability gains. At the core of flow are Realms, micro1’s real-world RL environments where experts establish what strong performance looks like. flow-gen models expand human judgment into new environments, rubrics, variations, and edge cases, while...

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73,267 görüntüleme • 1 ay önce •via X (Twitter)

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Arian profil fotoğrafı
Arian1 ay önce

The platform that pushes human data forward

Julia profil fotoğrafı
Julia1 ay önce

raw human expertise --> advanced intelligence improvment 📈

Brandon profil fotoğrafı
Brandon1 ay önce

Let’s go!

Yash Hande profil fotoğrafı
Yash Hande1 ay önce

let's goo!!

Jess Li profil fotoğrafı
Jess Li1 ay önce

so excited for this! 🔥

Sydney profil fotoğrafı
Sydney1 ay önce

lets goo

Daniel profil fotoğrafı
Daniel1 ay önce

LGI

Jacky profil fotoğrafı
Jacky1 ay önce

absolute cinema

William Almeida profil fotoğrafı
William Almeida1 ay önce

lgi!!

Tyler profil fotoğrafı
Tyler1 ay önce

flow state activated

Nima Yazdani profil fotoğrafı
Nima Yazdani1 ay önce

love it :)

Giovanna Moeller profil fotoğrafı
Giovanna Moeller1 ay önce

this is huge 🔥🔥🔥

AmericanPapaBear™ profil fotoğrafı
AmericanPapaBear™1 ay önce

Very interesting

EKOS _ AGI 🦊 🇮🇷 profil fotoğrafı
EKOS _ AGI 🦊 🇮🇷1 ay önce

@aliansarinik Turning human expertise into measurable capability is the right direction. The real challenge is keeping that expertise reliable as agents scale.

Hopefully.JUNEAI ⚽️ 🔱🥇 profil fotoğrafı
Hopefully.JUNEAI ⚽️ 🔱🥇1 ay önce

Great motion and services Please I await my interview results on video annotation specialist and generalist It’s been close to a week now still on hiring review Best regards💙

decroitFps profil fotoğrafı
decroitFps1 ay önce

@aliansarinik Forward and Beyond

José Daniel Durán profil fotoğrafı
José Daniel Durán1 ay önce

Amazing 🤩🤩🤩

Aidan Gold profil fotoğrafı
Aidan Gold1 ay önce

Recursive + predictable intelligence improvement, is the only scalable way to automate work across the economy.

Daniel ₿ 🇧🇷🇮🇹🇵🇾 profil fotoğrafı
Daniel ₿ 🇧🇷🇮🇹🇵🇾1 ay önce

Out of this world1!

Joshua Browder profil fotoğrafı
Joshua Browder1 ay önce

Extremely cool

Lami 👑 profil fotoğrafı
Lami 👑1 ay önce

Flow activated 😁

KennyBgr profil fotoğrafı
KennyBgr1 ay önce

To the moon 🚀

Ava profil fotoğrafı
Ava1 ay önce

@nima_yaz Lets GOO

Kwame Walker profil fotoğrafı
Kwame Walker1 ay önce

Awesome

mad max profil fotoğrafı
mad max1 ay önce

I applied twice for the generalist video annotation role and got rejected despite answering all the questions correctly and having extensive experience. I requested for a feedback and was told that my interview was great but i just wasn’t a good fit.

AK47 ODDS HUNTER 🔥🔥🔥 profil fotoğrafı
AK47 ODDS HUNTER 🔥🔥🔥1 ay önce

LFG🔥🔥🔥

Viral Videos™️ profil fotoğrafı
Viral Videos™️1 ay önce

Really excited to see how this plays out for Cortex and in particular, robotics. Congrats to the entire team.

aka profil fotoğrafı
aka1 ay önce

Wow! This is really exciting

Dr. Clown, PhD profil fotoğrafı
Dr. Clown, PhD1 ay önce

AI is going to change the world so fast!

𝟒𝟎𝟒 profil fotoğrafı
𝟒𝟎𝟒1 ay önce

Has anyone actually gotten accepted to micro 1 jobs? I keep trying.

𝟒𝟎𝟒 profil fotoğrafı
𝟒𝟎𝟒1 ay önce

Hold on, really?

Nwannedi Chrix profil fotoğrafı
Nwannedi Chrix1 ay önce

Impressive!

Benzer Videolar

Today I’m excited to introduce micro1 Intelligence, the world’s most advanced platform for training frontier AI models. Achieving AGI is bottlenecked by one main thing: high-quality data. Data based on real-world environments that capture human expert workflows, complex decision-making, and reward signals models need to learn. With micro1 Intelligence, frontier labs can train on RL environments across every subject matter all in one place.
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the micro1 robotics lab: real world data for intelligent models that co-exist in the physical world. we’re in-the-wild across 75 countries in 6,000+ unique environments collecting data. diverse movements, objects, and settings. the future of AI is as human as you can imagine. join us to start training robots today (link in comments).

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Midcentury

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We built a robotics data engine with Astra-level performance at 125x lower cost. And we are open-sourcing the weights today! Introducing Flora, a suite of open models to parse the physical world and turn raw footage into rich training signals. Flora already powers our in-house data engine, labeling 200K hours of videos a day on 500 GPUs. We created it to scale the frontier for robot learning. Now you own the weights too. Flora gives you: - High-quality, timestamped captions to curate and filter human egocentric and robot data; - Dense progress rewards for quality control and RL post-training; - Rubrics scoring for real-world benchmarking Try it today, links in thread:

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Cortex AI (CortexAI) produces the world's most diverse egocentric and robot dataset, captured in real workplace environments. Leading research labs use Cortex AI to collect data and deploy robotics foundation models in real-world settings.

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Introducing Gen-HumanEgo, a more training-ready open-source egocentric human data for robot learning. We are here to turn real-world human experience into training-ready data, designed to help models learn better. Gen-HumanEgo is a start. Open source now on HuggingFace.

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Today we're announcing Base Labs, a dedicated research organization focused on advancing open-source AI. We believe in a healthy, open frontier model ecosystem. To enable this, we are working on: - Blue-sky research on continual learning, the science of RL, and how models learn across their full lifecycle, with every experiment and recipe shared openly. - The BaseHub Data Foundry: the highest-quality open RL environments, training data, and real-world benchmarks, built for anyone to train and benchmark on. - Post-post training: taking open-source models and making them better, safer, and more aligned through continual post-training, built on our research, and deployed with our frontier safety stack so organizations can use open-source models with confidence. - Making models cheaper and more performant through our model performance research. This is a mission-driven research effort, not a commercial product. We believe the health of the open-source AI ecosystem matters and that the best way to advance it is to do science in the open. We’re hiring engineers, researchers, and research fellows to advance this mission.

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Today we’re launching Enact: post-training infrastructure that makes robotics models work in the real world. Robotics models fail when execution reaches states their training data never covered. A slip, an off-angle grasp, or an external disturbance can leave the policy without a learned recovery. Enact finds those failures and generates the targeted recovery data teams use to make their models reliable in production. Govind Chada Enact

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Together Post-Training is live Turn open models into custom models you own, with SFT or RL. You define the data, rewards, environments and the training loop itself. We run the hard infrastructure underneath it, tuned for quality and speed.
1:34

Together Post-Training is live Turn open models into custom models you own, with SFT or RL. You define the data, rewards, environments and the training loop itself. We run the hard infrastructure underneath it, tuned for quality and speed.

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This is why data brokers like micro1 are growing like wild fire: "The internet was a one-time subsidy on data. We got it for free." "Models have seen the entire internet many times over at this point, and there is not a whole lot more to be done on human data from the internet." "The next phase of data, in my mind, is model self-improvement through RL environment gyms." "You want expert human preference at this point." "We can just give the agent a computer essentially and have it act like it's a human worker and just give it feedback on whether it's making progress towards the target outcome. That environment becomes the data."

Mike Fishbein

12,926 görüntüleme • 22 gün önce

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1:51

The intelligence frontier keeps advancing every day. Are your agents delivering better outcomes on what matters? For enterprises, the promise of agents is more work completed reliably, with less human intervention and a lower cost per successful task. Today, we’re launching NeoSigma and our mission to empower every organization to build their own sovereign intelligence lab. A place to operationalize their knowledge, replay real work, and optimize agents against the outcomes that matter to their business. Where production experience compounds into intelligence the organization owns. We’re starting with NeoEval, our automated evaluation engine. It turns your production data into evaluation environments - that dynamically evolves along with your users, workflows, and frontier. A playground for evaluating and optimizing your agents. Your data. Your institutional knowledge. Now operationalized into evals and compounding intelligence. Stay tuned for the next few days of updates from NeoSigma.

Gauri Gupta

293,256 görüntüleme • 6 gün önce

Hiring RL Engineer! Started off as a curious project at Lossfunk to push the boundaries of LLMs in social reasoning - we are now building RL environments, data, and benchmarks to simulate more real-world scenarios. If you want to train SoTA RL models over multi-GPUs (H200s/B200s) to unlock next AI frontier, this is for you.
1:21

Hiring RL Engineer! Started off as a curious project at Lossfunk to push the boundaries of LLMs in social reasoning - we are now building RL environments, data, and benchmarks to simulate more real-world scenarios. If you want to train SoTA RL models over multi-GPUs (H200s/B200s) to unlock next AI frontier, this is for you.

Satpal Singh Rathore

46,010 görüntüleme • 1 yıl önce

Thrilled to be featured in Dwarkesh’s latest episode with Richard Sutton, widely regarded as the father of reinforcement learning and 2024 Turing Award winner. As Richard explains, we’re entering the Era of Experience, where training AI means creating environments that capture the complexity, unpredictability, and subtle rules of real life. What we’ve learned: building these environments takes deep expertise in data, workflows, and nuances. At Labelbox, we’re proud to help teams tackle today’s RL challenges while also shaping the next era of AI, turning ambitious projects into working systems. (Learn more in the comments)
1:08

Thrilled to be featured in Dwarkesh’s latest episode with Richard Sutton, widely regarded as the father of reinforcement learning and 2024 Turing Award winner. As Richard explains, we’re entering the Era of Experience, where training AI means creating environments that capture the complexity, unpredictability, and subtle rules of real life. What we’ve learned: building these environments takes deep expertise in data, workflows, and nuances. At Labelbox, we’re proud to help teams tackle today’s RL challenges while also shaping the next era of AI, turning ambitious projects into working systems. (Learn more in the comments)

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