Robera Geleta

Build bespoke UI. Prototypes with UIKit/SwiftUI.

Design Engineering - iOS @LumaLabsAI
Before - iOS Eng 23-15 @tinder

[Robera Geleta @RoberaGeleta]

Have fun splitting the bill.

It’s a work in progress, but DM me if you’re interested in this App.

For the technically curious - made with SwiftUI + TCA

[Robera Geleta @RoberaGeleta]

🎥

[Luma @LumaLabsAI]

Direction goes in. Cinema comes out.

Ray3.2 is here → https://t.co/TuAuFhZDBn

[Robera Geleta @RoberaGeleta]

@_sam_sinha_ @BerntBornich @1x_tech Congrats 🎉

[amit @gravicle]

We are launching Open Physical AI Lab at Luma to solve generalization in robotics

We believe general physical AI is the most consequential problem to solve to improve life on Earth. Allowing one or very few companies to control the entire intelligence and physical infrastructure of the world is a profound threat to the world. This is the path LLMs took, and it is the path physical AI is on today. To solve this problem of generalization in physical AI and to maximally benefit all of humanity, we are establishing the Open Science Physical AI Lab (OPAL Lab) at Luma.

Today, physical AI and robotics are in the pre-AI-scale era. Unlike LLMs and multimodal models which are capable of solving a wide range of previously seen and unseen problems, robots are trained on and can only replay specific tasks in specific environments from small scale examples, limiting their utility. Physical AI has a data gap, creating a generalization crisis. The default solution is to simply scale teleoperation to capture data across every possible task and combination of tasks – a physically and economically impossible approach.

Over the past 4 years, through fundamental research on multimodal AI, Luma has trained frontier foundation models in 3D, image, video, and unified language-visual generation. In this process, we have built vast infrastructure to make sense of raw internet-scale multimodal data and train efficient generative models with it. Building these systems has given us unique insights into how raw multimodal data can be used to learn physics, perception, reasoning and interaction with the physical world. Over the past few months, mounting empirical evidence from our work on Unified Models has turned this realization into a strong scientific conviction. Generalization is not unique to text.

The Open Physical AI Lab will research and scale methods to solve generalization and develop World Models for understanding and interaction with the physical world. This generalization will lead to robot systems proliferating everywhere - factories, research labs, hospitals, streets, and even our homes. Given the societal and economic upside, this transition will be faster than any other technology in history and these systems will be embedded into every layer of human life. Physical AI will help us solve labor shortage and stagnation plaguing world economies. Physical AI will become the means of production in every nation.

Allowing one or very few companies to control the entire intelligence and physical infrastructure of the world is a profound threat to humanity and democratic freedom. This is the path LLMs took, and it is the path physical AI is on today.

To reverse this trajectory, this lab will be an open science effort. We will use our scale and expertise to build the substrate and make it available so that any dedicated group of people can use it, modify it, and assemble it into systems of productive work. To accelerate progress, we will collaborate with our peer labs and academia on core research, build evaluations to measure progress and assess safety, and partner with industry leaders on chips, hardware, and physical agent systems.

If you share this conviction and believe that this foundation should be built in the open for the benefit of all humanity, please come work with us.

[Robera Geleta @RoberaGeleta]

Frame it

[kache @yacineMTB]

you can outsource your thinking
but you cannot outsource your understanding

[Robera Geleta @RoberaGeleta]

@tuhin @tylerangert Same

[Robera Geleta @RoberaGeleta]

Launch day 🚀

[Luma @LumaLabsAI]

Uni-1 is here! A new kind of model that thinks and generates pixels simultaneously. Less artificial. More intelligent.

[Robera Geleta @RoberaGeleta]

The research team really cooked. I'm going to be using this a lot. Congrats !! @shenbokui & @_sam_sinha_

[Luma @LumaLabsAI]

Uni1 is intelligent. This shows up as temporal and spatial intelligence, world knowledge, and ability to research and present information.

[Luma @LumaLabsAI]

Introducing Luma Agents. Creative agents that make you prolific. You set the direction. They build with you, seeing what you see and helping teams explore further, iterate faster, and watch ideas multiply.

[Robera Geleta @RoberaGeleta]

@Dimillian Fr

[Robera Geleta @RoberaGeleta]

New Modify is amazing, and Character reference is my favorite both w/ or w/o Modify.

[Luma @LumaLabsAI]

Stop guessing. Start directing. Ray3 Modify is now in Dream Machine. Edit and reimagine videos with all-new precise keyframe and character reference controls. Your vision, reimagined. Supercharge your production with rapid retouching, precise element swapping, and scene redesign.

[amit @gravicle]

Hiring Chief of Staff - help me scale Luma and build a generational AGI company. The most critical thing is ability to execute and solve hard problems. Especially biasing towards former and current founders.
Send an email to [email protected] with your track record of solving problems.

https://t.co/CYLCizckAT

[Robera Geleta @RoberaGeleta]

Excited to keep building cooler things!

[Luma @LumaLabsAI]

To scale research and deployment of multimodal AGI, today we are pleased to announce that Luma has raised a 900M Series-C and we are partnering with Humain to build a colossal 2GW compute supercluster – Project Halo.

[Robera Geleta @RoberaGeleta]

@jmtrivedi @wabi @joonasvirtanen 🤌

[Robera Geleta @RoberaGeleta]

@bnj @variantui 😅

[Luma @LumaLabsAI]

Ray3 sets a new bar for generative video. Independent evaluations confirm state of the art realism, motion, fidelity, and instruction following. As the first HDR video model, it delivers cinematic depth, color, and realism for creative pros across every industry.

[Robera Geleta @RoberaGeleta]

Clear day in the city

[Robera Geleta @RoberaGeleta]

@lexfridman 🛩️

[Robera Geleta @RoberaGeleta]

💨