@Devvrit_Khatri
This would also be a good time to congratulate @Devvrit_Khatri and @nileshgupta2797 who also recently obtained their PhDs. I am so glad to have served as their PhD advisor - all credit to them for becoming strong, independent and influential researchers. Congratulations!View quoted post on X
My friends can attest, Ive been wanting to push boundaries of harnesses for a while.View quoted post on X
When I was introduced to mirendil I was immediately intrigued that a small neolab was planning to compete in the big leagues, in the domain of agentic intelligence. It sounded insane, ambitious, and a great place to create the next generation of ai tooling.
Like how a noun needs a verb, no matter how powerful the model gets we will always need a harness. The space isnt quite solved but its close. Harnesses are all aligning to the same few architectures (more to come for how we built ours). Each generation of model has made it more clear what architectures are actually required.
Our goal was fundamental and simple. Give the model agency. Give the human freedom.
Im excited to introduce Lor, our new product built from first principles to be an always-on, multi client, multi environment delegator for coding and experiments.
We're opening up our beta. I'd love to chat with anyone pushing the limits of engineering and discovery.
Message me on any platform or sign up here if you're interested in trying it out
mirendil.com/lor-beta/
Meet Lor.
We’re building Lor to do the work of an entire AI lab. Today, its agents write our code, run experiments, and iterate on the results for days, on any machine, hundreds at a time.
Now in private beta ↓View quoted post on X
How can LLMs learn new skills from offline data without losing what they already know?
Introducing Subspace Tuning (SST): a simple approach that improves the learning–forgetting trade-off by controlling where weight updates happen.
Paper: arxiv.org/abs/2610.22293
Blog: app.notion.com/p/ac-notes/Tow…
🧵 1/8View quoted post on X
I reacted with excitement but also skepticism to @bneyshabur’s plan for making frontier-performance LM pre-training possible by a single researcher.View quoted post on X
Could 1 person compete with the huge teams at big co’s?
$10M is generous for an academic budget, but @mirendil has delivered!!!
