
building @VersineApp (YC F26) | previously cs @uwaterloo, vector search @databricks, deep research @glean, ads ml @quora
Bay Area
Joined July 2016
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RSI is here
We asked GPT-6 Astra to edit Qwen3.5-0.8B weights to improve math.
It directly changed only 0.016% of weights, fixing 0.8B's reasoning loops & improving math up to 6x and even instruction following 3x, without gradients or training.
We call this Weight-Space Programming: frontier LLMs can now natively read/write neural network weights! 🧵
Blog: rikiyat.github.io/blog/weigh…
Readers added context they thought people might want to know
LLM was given weights explicitly as text in prompt and used code/forward passes (per authors' logs) to ablate Qwen looping direction, a known thinking-mode issue per model card. Primarily fixed repetition in that mode, not general 'natively' improving weights/math.
rikiyat.github.io/blog/weight-sp…
github.com/RikiyaT/lm_und…
huggingface.co/Qwen/Qwen3.5-0…
huggingface.co/RikiyaT/Qwen3.…
Param retweeted
i dropped out of uni in 3rd year to join YC.
we're building autonomous auth for assistants: @useversine
Replying to @paulg
this is exactly what we solve at versine.com - letting agents go through auth in a way the platform can control
We're excited to launch Oversine (YC F26): Let agents sign up and log in to your platform autonomously
Web traffic is increasingly coming from agents - and they always get blocked on authentication. With Oversine, we want to let platforms convert every agent interaction
Along with @harshithl1777 and @PoilVishnudev I'm joining Y Combinator F26!
Book a demo here: oversine.com
wheres the fifth
Announcing Discovery Loop!
I am very excited to announce that, along with my longtime friends and collaborators @Sanjay_Ghemawat, @OriolVinyalsML and @quocleix, we are founding Discovery Loop (@DiscoLoopAI), a Public Benefit Corporation whose mission is to automate machine learning, science, and engineering to accelerate discoveries and progress. The four of us have worked together for 14 to 30 years, and have helped build some of the world’s most used products, infrastructure and AI models, and we’re excited to turn our attention to this ambitious endeavor.
♾
Learn more at: discoveryloop.com
Param retweeted
Replying to @SecScottBessent



































