Mudith Jayasekara

@mudithj

co-founded @parsedlabs before we started hill sprinting @baselabs @baseten, half eng/cs phd @rhodes_trust @UniofOxford

parsed.com

Joined January 2018

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Mudith Jayasekara
@mudithj
Sep 3
It has been easy to back the open source narrative recently with so much exciting progress, but the cyclical swings in energy we have seen seem inevitable. Inspired by the great scientists (including LeBron) pictured in video, @baselabs is a very direct effort to pursue a
Base Labs
@baselabs
Sep 3
Today we're announcing Base Labs, a dedicated research organization focused on advancing open-source AI. We believe in a healthy, open frontier model ecosystem. To enable this, we are working on: - Blue-sky research on continual learning, the science of RL, and how models learn
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Mudith Jayasekara
@mudithj
7h
We're working towards the open intelligence safety stack! We've always been interested in making models do 'real' work. But we've also been very interested in making sure they are safe and aligned (before it was cool). This started for us with mech interp at @parsedlabs, and now
Base Labs
@baselabs
8h
We believe openness to be an advantage for AI safety. Openness provides more visibility into the behavior of models and, most importantly, greater means of turning safety research into actionable and transparent controls than closed-source. This is why Baseten and Base Labs are
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Mudith Jayasekara
@mudithj
Sep 13
@oneill_c going from shitposting on twitter to being on a heater on dwarkesh. The man has insane range.
Dwarkesh Patel
@dwarkesh_sp
Sep 11
New episode with @johnschulman2, @oneill_c and @BerenMillidge. I got together with some of the most insightful AI researchers I know who are at the openish companies, because I wanted to hear the details of what's actually happening at the frontier and what comes next. 0:00:00
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Mudith Jayasekara
@mudithj
Sep 8
This is how we support a bunch of neolabs training frontier models (some of which we should be able to talk about in public soon when they release their models). Pretty neat trick @part_harry_ and @stefanopopoulos cooked up reading the compressed block directly rather than
Paras Stefanopoulos
@stefanopopoulos
Sep 8
Sub 40s delta weight syncs for GLM 5.3 🔥💚
Article
Optimizing Delta Weight Syncs for Managed Rollouts
Baseten supports delta weight syncs to leading frontier models like GLM-5.3 across global, independent clusters in under 40 seconds, with only 6 seconds of request pause. AI labs and frontier research...
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Mudith Jayasekara
@mudithj
Sep 8
Excited about this RLM work as it shows: (i) Clear benefits of harness design that solves for the particular constraints of the task (every model showed significant uplift with an RLM harness). RLMs here solve for the 80M tokens sometimes required to be traversed per task (ii) RL
Harvey
@harvey
Sep 8
We partnered with @baseten to post-train recursive language model (RLM) agents for M&A diligence. We found that model-harness co-optimization meaningfully improves agent performance in long-horizon environments, bringing us closer to agents that can complete M&A diligence
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