finally announcing i’ve started humans& w/ amazing friends @gharik & @YuchenHe07 & @TheAndiPenguin & @noahdgoodman & many other world-class folks. we're optimists: it’s possible to rethink how we build ai, to empower people to accomplish more together tldr: love is all you need

imagine telling your customers there's a small chance you'll randomly decide they're using your product wrong and you won't tell them but will secretly silently sabotage their work

🚀 the @radixark team has already contributed a lot to open source infra - excited to see what they do next

The DeepSeek V4 garbled output bug in open source inference engine is fixed in SGLang. To everyone affected over the weekend, sorry for the trouble. Huge thanks to @Ant_Group for landing the fix PR. It was a cross-company, cross-timezone, sub-48-hour marathon. @ollama and @humansand surfaced it first; @nvidia, @AIatMeta, and @FireworksAI_HQ raised the same signal soon after. @deepseek_ai replied in seconds at every hour. @FireworksAI_HQ stayed up late with us until it shipped. @SemiAnalysis_ and @ollama provided the machines that made the debugging possible. The SGLang team dug in through the weekend. The real OSS is the friends we made along the way.🫶

Deepseek V4. This is the most comprehensive day 0 support I have ever experienced. Rich SGLang features including hierarchical caching for sparse attention and Miles support for RL. Enjoy 🥰

same energy

We will be co-hosting this in SF with our great friends at SV Angel. We'll keep the event small and cozy and have a few prizes for the teams:🥇$16k🥈$8k🥉$4k. Come by and hang out with the humans& team - it’ll be a lot of fun!

One cost more people (even prospective founders) should consider: if you did something else, would the impact you're having today still happen somewhere? If yes, you're missing the opportunity to change things for the better

Announcing the humans& hackathon! Hack with us this Saturday - come experiment and build AI apps to help people collaborate and communicate, work with creative folks, learn a bit about what we're building, and win cool prizes Apply here: luma.com/2pbif8t9

We will see people and organizations spend increasingly more time thinking about what to implement and how to implement it than actually implementing it. This will enable but also require new levels of collaboration

how it’s going

appreciate the sentiment but plz just use the application link

"why waste time say lot word when few word do trick"

twitter still yearns for the skies

What does it mean to empower human collaboration? Today’s AIs focus on the 1:1 setting: you ask AI something, and it tries to do/answer it But a lot of real work and life involves working with multiple people - and as orgs and communities grow, this gets harder Today’s messaging and collaboration apps all do their best to solve this but we at @humansand believe so much more is possible if we train AI and build products jointly with this mode in mind Want to see what this looks like before we ship it? Come join us ❤️

Also happy to share that I've joined @humansand!! More details in the coming days, but I am SO excited to build AI to work with and be good for humans!

We've been running @radixark for a few months, started by many core developers in SGLang @lmsysorg and its extended ecosystem (slime @slime_framework , AReaL @jxwuyi). I left @xai in August — a place where I built deep emotions and countless beautiful memories. It was the best place I’ve ever worked, the place I watched grow from a few dozen people to hundreds, and it truly felt like home. What pushed me to make such a hard decision is the momentum of building SGLang open source and the mission of creating an ambitious future, within an open spirit that I learnt from my first job at @databricks after my PhD. We started SGLang in the summer of 2023 and made it public in January 2024. Over the past 2 years, hundreds of people have made great efforts to get to where they are today. We experienced several waves of growth after its first release. I still remember the many dark nights in the summer of 2024, I spent with @lm_zheng , @lsyincs , and @zhyncs42 debugging, while @ispobaoke single-handedly took on DeepSeek inference optimizations, seeing @GenAI_is_real and the community strike team tag-teaming on-call shifts non-stop. There are so many more who have joined that I'm out of space to call out, but they're recorded on the GitHub contributor list forever. The demands grow exponentially, and we have been pushed to make it a dedicated effort supported by RadixArk. It’s the step-by-step journey of a thousand miles that has carried us here today, and the same relentless Long March that will lead us into the tens of thousands of miles yet to come. The story never stops growing. Over the past year, we’ve seen something very clear: The world is full of people eager to build AI, but the infrastructure that makes it possible is not shared. The most advanced inference and training stacks live inside a few companies. Everyone else is forced to rebuild the same schedulers, compilers, serving engines, and training pipelines again and again — often under enormous pressure, with lots of duplicated effort and wasted insight. RadixArk was born to change that. Today, we’re building an infrastructure-first, deep-tech company with a simple and ambitious mission: "Make frontier-level AI infrastructure open and accessible to everyone." If the two values below resonate with you, come talk to us: (1) Engineering as an art. Infrastructure is a first-class citizen in RadixArk. We care about elegant design and code that lasts. Beneath every line of code lies the soul of the engineer who wrote it. (2) A belief in openness. We share what we build. We bet on long-term compounding through community, contribution, and giving more than we take. A product is defined by its users, yet it truly comes alive the moment functionality transcends mere utility and begins to embody aesthetics. Thanks to all the miles (the name of our first released RL framework; see below). radixark.ai