Sabina Kim

Research Infra @reflection_ai, Staff SWE @google, @umich

[Francis McCann @francismccann14]

This is why we need good Open Source models

[TBPN @tbpn]

BREAKING: Llama lead @joespeez is joining Reflection as VP of Product & Head of Open Source

[Reflection @reflection_ai]

Reflection is partnering with Shinsegae Group to build a 250-megawatt sovereign AI factory for the Republic of Korea.

Open intelligence. Built on trust between allies. Owned by the nations that need it most.

The future of sovereign AI. Read more in the @WSJ.

[Misha Laskin @MishaLaskin]

AGI is in its first stages of take-off.

Every country is realizing that AI sovereignty is existential, which requires open models.

We’ve signed a deal with Shinsegae Group to build South Korea’s sovereign cloud on a US open model built by Reflection.

More to come.

[🇺🇦 Alex Polozov @Skiminok]

🎉 Next week, I am excited to join @reflection_ai as a Member of Technical Staff to help build the open intelligence ecosystem of the Western world.

It's the most exciting opportunity to help software builders in our time, and will shape many years of AI Engineering in the medium-term before AGI. Not just about Western vs Eastern open models, but more about how AI-driven software will look like in 2030.

I spent some time articulating my thoughts about where we're going as a community and why... which became a whole blog post. Take a look, hope it interests you!
(And if it really does, we are hiring in NYC, SF, and London 😉)

https://t.co/sahfTPFeAX

[Turner Novak 🍌🧢 @TurnerNovak]

Wow. $2B to build more American open source

[Sabina Kim @skangkim]

@FlintCasey Let's build the model 🔨

[David Sacks @DavidSacks]

It’s great to see more American open source AI models. A meaningful segment of the global market will prefer the cost, customizability, and control that open source offers. We want the U.S. to win this category too.

[Sabina Kim @skangkim]

@catherine_cang Same as well!!!!!

[Sabina Kim @skangkim]

Big milestone at Reflection AI ! 🧠✨

We’re tackling some of the toughest research and infra challenges. It’s intense work and so much fun.

An incredible time to be here! Hard problems, fast progress, and a team that genuinely loves to work. DM me if you're interested. :)

[Reflection @reflection_ai]

Today we're sharing the next phase of Reflection.

We're building frontier open intelligence accessible to all.

We've assembled an extraordinary AI team, built a frontier LLM training stack, and raised $2 billion.

Why Open Intelligence Matters

Technological and scientific progress is driven by values of openness and collaboration.

The internet, Linux, and the protocols and standards that underpin modern computing are all open. This isn't a coincidence. Open software is what gets forked, customized, and embedded into systems worldwide. It's what universities teach, what startups build on, what enterprises deploy.

Open science enables others to learn from the results, be inspired by them, interrogate them, and build upon them in order to push the frontier of human knowledge and scientific advancement. AI got to where it is today through scaling ideas (e.g. self-attention, next token prediction, reinforcement learning) that were shared and published openly.

Now AI is becoming the technology layer that everything else runs on top of. The systems that accelerate scientific research, enhance education, optimize energy usage, supercharge medical diagnoses, and run supply chains will all be built on AI infrastructure.

But the frontier is currently concentrated in closed labs. If this continues, a handful of entities will control the capital, compute, and talent required to build AI, creating a runaway dynamic that locks everyone else out. There's a narrow window to change this trajectory. We need to build open models so capable that they become the obvious choice for users and developers worldwide, ensuring the foundation of intelligence remains open and accessible rather than controlled by a few.

What We've Built

Over the last year, we've been preparing for this mission.

We’ve assembled a team who have pioneered breakthroughs including PaLM, Gemini, AlphaGo, AlphaCode, AlphaProof, and contributed to ChatGPT and Character AI, among many others.

We built something once thought possible only inside the world’s top labs: a large-scale LLM and reinforcement learning platform capable of training massive Mixture-of-Experts (MoEs) models at frontier scale. We saw the effectiveness of our approach first-hand when we applied it to the critical domain of autonomous coding. With this milestone unlocked, we're now bringing these methods to general agentic reasoning.

We've raised significant capital and identified a scalable commercial model that aligns with our open intelligence strategy, ensuring we can continue building and releasing frontier models sustainably. We are now scaling up to build open models that bring together large-scale pretraining and advanced reinforcement learning from the ground up.

Safety and Responsibility

Open intelligence also changes how we think about safety. It enables the broader community to participate in safety research and discourse, rather than leaving critical decisions to a few closed labs. Transparency allows independent researchers to identify risks, develop mitigations, and hold systems accountable in ways that closed development cannot.

But openness also requires confronting the challenges of capable models being widely accessible. We're investing in evaluations to assess capabilities and risks before release, security research to protect against misuse, and responsible deployment standards. We believe the answer to AI safety is not “security through obscurity” but rigorous science conducted in the open, where the global research community can contribute to solutions rather than a handful of companies making decisions behind closed doors.

Join Us

There is a window of opportunity today to build frontier open intelligence, but it is closing and this may be the last. If this mission resonates, join us.

[Sabina Kim @skangkim]

@reflection_ai So grateful to be part of this awesome mission to contribute to the community!!!

[Reflection @reflection_ai]

Congrats to Reflection technical staff member @jeremyberman  on achieving a new SOTA on ARC-AGI.

On his blog, Jeremy explains his methodology and perspective about how to build truly general reasoning agents with RL.

“With RL, models no longer just learn what sounds correct based on patterns they've seen. They learn what words to output to be correct. RL is the process of forcing the pre-trained weights to be logically consistent.

We don't need models to escape their training distribution. We need to bring reasoning itself fully into that distribution. Not domain-specific reasoning, but the pure skill of logical deduction and consistency that humans apply universally. When models have consistent, transferable reasoning, we'll have AGI.”

[Misha Laskin @MishaLaskin]

Engineers spend 70% of their time understanding code, not writing it.

That’s why we built Asimov at @reflection_ai.

The best-in-class code research agent, built for teams and organizations.

[Sabina Kim @skangkim]

@MishaLaskin @reflection_ai So exciting to see a critical stepping stone to superintelligence !!