Mrutyunjay Biswal

Applied ML ▪ Senior SWE (AI) - R&D @SiemensHealth ▪ Tech x Finance x Chess x Books x Writing

[Mrutyunjay Biswal @LearnStochastic]

A powerful line I've read in a while:

Your ambition doesn't (and shouldn't) fit into someone else's structure.

[Mrutyunjay Biswal @LearnStochastic]

Day 69 of learning why liquidity is more important. Sit on cash!

[Mrutyunjay Biswal @LearnStochastic]

No matter what numbers you achieve, there’s always a higher number.

Fortunately, happiness and contentment is still immeasurable.

[NDTV @ndtv]

"I Can't Sleep": Gurgaon Man With BMW, Rs 40 Lakh Salary Still Thinks He's 'Poor', Doctor Explains https://t.co/5nqnuOzm7I

[Mrutyunjay Biswal @LearnStochastic]

Anyone has a derivative on H100 prices yet?

[Mrutyunjay Biswal @LearnStochastic]

Uh what speed up now? 👀

[Skyler Miao @SkylerMiao7]

Something BIG is coming

[Mrutyunjay Biswal @LearnStochastic]

Once upon a time!

[Abhinav Kukreja @kukreja_abhinav]

Today, we announce @NeocambrianAI

The future of AI will be physical. But Physical AI has no internet scale dataset to learn from.

We’re building the data foundation of Physical AI - a high fidelity, pre training scale database of Human Action.

From India. For the world.

[Mrutyunjay Biswal @LearnStochastic]

CRED has entered vibe coding curse arc!

[Mrutyunjay Biswal @LearnStochastic]

Alright, imma shoot a shot!

Hi @reach_vb @gabrielchua

Me and my homies got frustrated with stock research. Hundreds of deep research threads across ChatGPT, Grok, Gemini, Claude > thousand discussions to build a thesis, a case around a stock or an industry > following sub-reddits, X accounts for near-live news, banging heads onto walls, etc. etc.

Finally, a month back, we built ArthKosh. A financial data intelligence platform with multi-agent systems and harness to offer hyper-personalised, proof-backed research chat interface for retailer investors.

Many don't understand whats' a spread, why PEG of a stock matters and where, how event A affects company Z, and the list goes on.

ArthKosh integrates heterogeneous data sources under one-umbrella and unleashes a multi-agent system on 'em to provide relevant information in an ocean of overwhelming always-updating event scope.

Now, we built it at the Codex Bengaluru hackathon, roughly a month back. Scope was too big, couldn't get it to a desirable state. Entered @opencode hackathon the same weekend, finished on top-5 under multi-agent theme. Been token-maxxing ever since on the generous ChatGPT Pro subscription, until now.

So, would you kindly extend the earlier generosity with continued Codex Pro access and some API credits for me to finish the MVP with improved harness and core functionalities? I am happy to share the progress so far on dm :)

[Mrutyunjay Biswal @LearnStochastic]

@apoorva_mehta Solo-building on similar product family.

Data ingestion layer on heterogeneous sources > fin ontology intelligence > agent fleet + harness > personalisation + research thesis > unified chat interface of interaction.

Sharing a short-demo over dm!

[Mrutyunjay Biswal @LearnStochastic]

@himanshustwts Karpathy: << cooking next educational banger while autoresearch-maxxing >>

>> mail inbox 🔔 <<

Dario: imma get you unlimited compute cluster. Come and unleash AGI!

Senpai: I ain’t no stopping dropping those educational bangers.

Dario: As you wish, Lord Commander!

[Mrutyunjay Biswal @LearnStochastic]

Anthropic on generational-talent-maxxing arc!

[Andrej Karpathy @karpathy]

Personal update: I've joined Anthropic. I think the next few years at the frontier of LLMs will be especially formative. I am very excited to join the team here and get back to R&D. I remain deeply passionate about education and plan to resume my work on it in time.

[Mrutyunjay Biswal @LearnStochastic]

“work on things that matter and not think of rewards.”

[rohan anil @_arohan_]

We did research when pay was low.
We did research when pay was uncertain.
We did research even when we were lucky enough to be paid well.

One way is to figure out what to work on is to work on things that matter and not think of rewards.

We are still quite early into what makes a frontier model all the way from optimization, architecture and objectives. Big token wants to convince you otherwise.

[Mrutyunjay Biswal @LearnStochastic]

<< on a generational run >>

[Mrutyunjay Biswal @LearnStochastic]

Just letting @sama know that @ChatGPTapp latently been approving me of being “directionally” right.

[Hamid Kazemi @hamid_kazemi22]

🧵1/ A single neuron is sufficient to bypass safety alignment in LLMs.

Across 7 models, 2 families, and scales from 1.7B to 70B, suppressing one MLP neuron bypasses refusal behavior — with no fine-tuning and no prompt engineering.
We call them refusal neurons.

We also study concept neurons: neurons that encode harmful knowledge itself. As a proof of concept, we identify suicide-related neurons. Our analysis reveals several interesting results⬇️

Joint work with @AtoosaChegini (equal contribution) , Maria Safi

[Mrutyunjay Biswal @LearnStochastic]

@ChatGPTapp approved :)

[rohan anil @_arohan_]

What research did you get done this week? Was it directionally correct?

[Adithya S K @adithya_s_k]

We just hit #1 trending on @huggingface Spaces 🎉

“The Ultimate Guide to RL Environments” dives into building & scaling RL environments for LLMs.

If you're exploring RL + agents, this might be useful

[george hotz archive @geohotarchive]

The Real Singularity is the Friends We Made Along the Way https://t.co/GY7psG2S8y

[Mrutyunjay Biswal @LearnStochastic]

Every once in a while, life presents you with split roads. More often to test your conviction. You’ve set out for one goal, life would present an equally rewarding opportunity or opportunities. And you’re forced to take a decision: your conviction vs near term gratification.

This is a vicious cycle, and there’s no better test of character than this.

[Mrutyunjay Biswal @LearnStochastic]

guess the day God decided to down @LeetCode :)