Marta Jamrozik

I’m non-technical and built the app I always wanted with AI. I like art and history, and wanted an easy way to learn more about both. I take a photo, wait a few seconds, and get a two-minute audio tour of what I’m seeing. Feels wild to go from non-technical to vibe coding an entire app in 30 days.

Not a great look for @Namecheap 😐

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.

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.

Introducing Mirage Studio. Powered by our proprietary omni-modal foundation model. Generate expressive videos at scale, with actors that actually look and feel alive. Our actors laugh, flinch, sing, rap — all of course, per your direction. Just upload an audio, describe the scene or drop in a reference image, and create energetic content in minutes. Built for marketers, creative teams, and anyone serious about crafting great narrative videos. Available for everyone at mirage dot app. Get started with a few ideas below.

@joonasvirtanen @patrickc 🙏

@patrickc @marta_jamrozik built something similar here! x.com/marta_jamrozik…

I want an AI product that inhabits my AirPods and continually mutters interesting things about the world around me, like an indefatigably burbling tour guide. "The San Mateo Bridge was built in about a year. When it opened on 2 March 1929, it stretched 7.1 miles, making it longer than any other bridge on Earth at the time." I've driven over the bridge many times, but never thought to look into its origins until today.

@lachygroom swift + cursor + figma

what's the best vibe coding stack for an iOS app? can I get by with Swift / SwiftUI or am I much better served using something like react native

@tinkernode gave it a try and didn't love the output! but guessing these will all get better w time

@marta_jamrozik I think Google is already doing it with Stitch.

Who's building Cursor for product design? I'm interested

@Midaskwant @variantui @bnj this looks amazing

@marta_jamrozik @variantui @bnj

@AnthropicAI @RickRubin

THE WAY OF CODE, a project by @rickrubin in collaboration with Anthropic:

@Linggih_ngurah totally! dm me if you want to give it a try : )

@marta_jamrozik This is amazing. Always wondered to know more about the history behind the art when travelling in Europe

I’m non-technical and built the app I always wanted with AI. I like art and history, and wanted an easy way to learn more about both. I take a photo, wait a few seconds, and get a two-minute audio tour of what I’m seeing. Feels wild to go from non-technical to vibe coding an entire app in 30 days.

@JBDuncan95 if you want to test it for free, dm me! : )

@noornet dm me! would love to get your feedback

@marta_jamrozik Very cool. Would love to test this.

@0xStacking i like it

@marta_jamrozik Add multiple language support so it goes wide

@KarimaDigital ty!! full breakdown coming v soon tested nearly every coding tool on the market what would be most interesting, ranking, scorecard, pros / cons?

@marta_jamrozik This is so clean, what did you use to vibe code?

@thepranavj coming v soon, doing a full breakdown! tried nearly every coding tool on the market. what would be most interesting, a ranking, pros / cons of each?

@marta_jamrozik would absolutely love to learn what the tech stack was to put this together!

@RParekh_ ty! full tool write-up coming v soon for prompts, lots of trial and error and judging if i'm happy w the outcome my prompts have probably gotten too long at this point but i think they make for a more engaging tour!

@marta_jamrozik Super neat! Curious how you structured your prompts and what tools you used @marta_jamrozik

@alexeyndru love that movie btw!

@marta_jamrozik x.com/alexeyndru/sta… the elder from one year ago.

@PitchCrunch tried pretty much every coding tool on the market! doing a full breakdown of what worked / what didn't v soon

@marta_jamrozik what did you use?

@sughanthans1 ty! built in swift, tried pretty much every coding tool on the market doing a full breakdown v soon, if interesting?

@marta_jamrozik kudos. looks amazing. what was your tech stack?