Justus Mattern

@ellev3n11 congrats!

a lot went into this model. it was fun! i hope people enjoy it.

Is GTC worth attending

@harborframework that is great!

@MatternJustus github.com/harbor-framewo… Will this work for you @MatternJustus ?

Harbor (@harborframework) is great and it is amazing that the community is moving towards open standards! One ask: The lack of multi-user support is super limiting; it is super inconvenient that running tests requires uploads of often massive testing folders

@kalomaze i actually meant more than that

@MatternJustus *LARPing the appearance of 996

@kalomaze They don’t work 996

if you think capital and "competent enough" engineers doing 996 style work weeks are all you need to get to the absolute top of the frontier then your lab is absolutely ngmi

@anishathalye @xdotli @alexgshaw @ryanmart3n Thanks a lot for the contribution! 🫡

@xdotli @MatternJustus @alexgshaw @ryanmart3n Hi! I'll try to finish implementing this in the next day or so. Just a bunch of code to write / test, because it involves changing all agents + all environments.

we are also hiring full-time research scientists! x.com/MatternJustus/…

Proximal is hiring research scientist interns! Our research team is working on projects touching coding agents, long-horizon RL and evals. We share our work in the public through papers and open-source releases (first ones coming soon!). DM me if interested :)

We are also hiring full-time research scientists and engineers! If you want to work on AI for coding, share your work through papers and open source releases, and join one of the fastest growing startups of all time in our beautiful North Beach office - dm me :)

@alexgshaw @ryanmart3n that's what we've been doing in some cases! Thank you!

@MatternJustus @ryanmart3n Yeah we definitely need this. Will implement. If you need an urgent solution, one thing you can do is encrypt test files in the image and then decrypt in the verifier

@_rajanagarwal 🫶

ive been working with the proximal team as a researcher for the past couple months! they’re gonna make it

@milichab @SpaceX @xai @JasonBud congratulations!

I’m joining @SpaceX and @xai with @JasonBud. X is the company realizing science fiction - reusable rockets, humanoid robots, data centers in space, and more. Almost 10 years ago, I joined SpaceX as an intern on Dragon 2 crew displays. This was in the era of the first rocket landings on barges, long before the Dragon 2 restored human spaceflight to America or Starlink delivered internet from space. Every day since then, I’ve thought about the next steps to land on the Moon - and to build a city on Mars, data centers in space, the brains behind robots, and beyond. There is no better place to build teams and products from the ground up with planetary scale resources. If you’re looking to work on the hardest problems that lay a foundation for humanity’s future to the Moon, Mars, and beyond - DM me.

@anneouyang @JeffDean @Standard_Kernel Comgrats Anne!

Excited to share @Standard_Kernel's seed round and some reflections on what we’ve learned about kernel generation and what we believe is next. Grateful to our amazing team, supporters, and the broader community pushing this space forward.

@arthursolwayne @DealGlassInc congrats!

i quit my quant job at SIG to build @DealGlassInc we just topped SpreadsheetBench Verified, mogging Opus 4.6, GPT-5.4, and Shortcut. generic spreadsheet agents optimize for speed at the expense of quality. we built Tetra to underwrite billions.

@vjhofmann @allen_ai @CisLmu @LMU_Muenchen congratulations!

📢 Life update 📢 After a wonderful time at @allen_ai, I've joined @CisLmu at @LMU_Muenchen as a tenure-track assistant professor in NLP. Thrilled to be back in Europe and to start a lab in Munich's flourishing AI ecosystem! 🎉

@ZitongYang0 @EmmanuelCandes @tatsu_hashimoto @percyliang @ruomingpang congratulations!

Today I defended my Ph.D. thesis at Stanford: Continually self-improving AI. Sincere thanks to my committee @EmmanuelCandes @tatsu_hashimoto @percyliang @ruomingpang for the mentorship over the years and to Stephen Boyd for chairing my defense. Checout the recording (youtube.com/watch?v=Oz5nHp…) and slides (zitongyang.github.io/slides/ZitongY…)!

@mike64_t @PrimeIntellect all the best Mike!

I have made the difficult decision that I will be leaving @PrimeIntellect. Working for Prime Intellect has been one of the most fulfilling things I have done, getting to work on many cool projects, even if sometimes moonshots. This pains me even more, given that I deeply value the role of open source in this industry & the ability to openly talk about ideas. However, I’ve recently reached the conclusion that what’s required next is a degree of scale that has been historically difficult for open source when not subsidized by other highly profitable ventures. It’s for this reason that I think it is necessary for me to continue my work elsewhere. I’m looking forward to when I can soon share more as for what’s next. I’ll continue to work on the long-standing dream of mine towards a true multi-modal streaming recurrent model trained on everything from Guitar tutorials to long-running minecraft let’s plays, which I think at this point in time is only bottlenecked by flawless execution of a theoretically sound concept. I’m also extremely grateful to PI for agreeing to allow me to continue to work seamlessly on the repositories I have built up at PI. It is not a given that companies truly live by the principles of openness and a no-zero-sum mindset. The repositories I’ve been working on are now on my GitHub, even if it is about as messy as research code gets. While the current experiments **technically** haven’t left the text domain depending on how you define text, I would guess the next step from here is already somewhat apparent. github.com/mikex86/fbamtr… github.com/mikex86/termst… github.com/mikex86/pyterm… huggingface.co/datasets/mikex… I have high hopes however, that some of the parts I consider most interesting will remain open and will do my best to ensure that is the case going forward. I will leave with nothing but fond memories of my time at PI and truly wish them the best going forward. It’s been a blast working with such a talented team. Best of luck, and godspeed.

@cognition massive!

We are sharing an early preview of our ongoing SWE-1.6 training run. It significantly improves upon SWE-1.5 while being post-trained on the same pre-trained model - and it runs equally as fast at 950 tok/s. On SWE-Bench Pro it exceeds top open-source models. The preview model still exhibits some undesirable behaviors like overthinking and excessive self-verification, which we aim to improve. We are rolling out early access to a small subset of users in Windsurf.