Sanjay Adhikesaven

Imagine you fully post-trained "YourModel v1". Then, you've got better data — math, code, tool use, safety — and you want to improve it. Today, that usually means retraining the whole model. But what if new data could be added modularly, with a fixed cost each time?

Today, Human Archive is announcing our $8.2M seed round to model human embodied intelligence. Despite decades of research, we still barely understand ourselves. Our goal is to learn how humans interact with the world, and over the past 6 months, our team’s made enormous progress toward that alongside leading AI labs. learn more @TechCrunch techcrunch.com/2026/05/26/hum…

Great opportunities to work on human data!

Human Archive (YC W26) is a research lab modeling human embodied intelligence, and we’re hiring globally across 10 roles in hardware, software, and operations. We build cameras and sensors, deploy them globally at scale, and train models to better understand how humans interact with the physical world. Our goal is to replace manual labor, increase global abundance, shift human effort toward creativity and exploration, and advance how we understand the brain, human cognition, prosthetics, and rehabilitation. By joining now, you’ll join the founding team and work on the most important data project in human history. Software: Machine Learning Engineer (SF) Research Engineer (SF) Hardware: Head of Hardware Engineering (SF + China) Embedded / Electrical Engineer (China) Firmware Engineer (China) Mechanical Engineer (China) Head of Operations (China) Operations: Infrastructure Engineer (India) Software Engineer (India) Operations (Globally) Apply here: jobs.ashbyhq.com/humanarchive

MoEs are everywhere in frontier models, and they are deployed as a monolith system. But many applications only need a narrow slice of capabilities, e.g., math, code, biomedical, etc. So what if "modularity" is actually the missing opportunity for MoEs? Today, we're releasing EMO: an end-to-end pretrained MoE where modularity emerges naturally, enabling selective use of experts!

How do you add new capabilities to a fully post-trained language model, without retraining from scratch, or losing what it already knows? We're excited to introduce Branch-Adapt-Route (BAR): train independent experts, merge them into an MoE, and upgrade them as needed.

Paper: allenai.org/papers/bar Blog: allenai.org/blog/bar Models: huggingface.co/collections/al… Code: github.com/allenai/FlexOl… w/ amazing collaborators: @jacobcares, @AkshitaB93, @matei_zaharia, @nlpnoah, @sewon__min!

More broadly, BAR suggests a new way to build and improve upon LMs: not one monolithic pipeline that must be re-run for every update, but a modular system where experts can be trained, added, and upgraded independently.

Imagine you fully post-trained "YourModel v1". Then, you've got better data — math, code, tool use, safety — and you want to improve it. Today, that usually means retraining the whole model. But what if new data could be added modularly, with a fixed cost each time?

Congrats on the launch!

@ycombinator congrats!

Human Archive builds datasets to model sensorimotor intelligence for robotics and world models. HA-Multi is the largest dataset of manual labor tasks aligning egocentric RGB, stereo depth (active IR), tactile gloves, body IMUs, and wrist cameras. Congrats on the launch, @babugi28, @shloke_patel, @samay_maini15, and @Rush26agarwal! ycombinator.com/launches/PeP-h…

@babugi28 @shloke_patel @ycombinator Can u send me mangos

My mom just sent me this video of my co-founder @shloke_patel and me pitching our mango business when we were 13. Now, in 50 days, we’ll be pitching at @ycombinator's Demo Day in SF. None of this would've been possible without our rockstar parents. Order some mangoes this summer at mangounited.com

@hridonculous @theziphq W

@jp_singaraju @deedydas this is our class bro

@deedydas @sadhikesaven we tryna take this?

The best free class on the internet is Poker Theory at MIT. It's taught by portfolio managers at quant shops like Citadel, AQR, SIG and 2 WSOP bracelet winners. You play 5000 hands as practice and learn the math of making money from pros. And it's free.

@jp_singaraju @PalantirTech @ssankar @LAPDHQ @MayorOfLA Amazing Work!

I just built a cool dashboard to analyze the severity of crimes in LA since 2020 using the @PalantirTech Foundry and AIP -- found some interesting results, check out the video... btw you gotta love AIP assist, its spot on 🫡 #Palantir $PLTR @ssankar @LAPDHQ @MayorOfLA