Abhimanyu Pallavi Sudhir (@abhimanyupasu) 's Twitter Profile
Abhimanyu Pallavi Sudhir

@abhimanyupasu

Theoretical economics & AI

your employer's opinions reflect my tweets

ID: 2860174772

linkhttp://abhimanyu.io calendar_today17-10-2014 11:53:18

4,4K Tweet

165 Followers

346 Following

Anders Sandberg (@anderssandberg) 's Twitter Profile Photo

OK, color me officially impressed: Nano Banana Pro can make good diagrams based on papers. This one can go straight into my presentations.

OK, color me officially impressed: Nano Banana Pro can make good diagrams based on papers. This one can go straight into my presentations.
eigenrobot (@eigenrobot) 's Twitter Profile Photo

Alice: are you saying you value X more than Y? Bob: I value cancer more than Y Alice has tried to make a hostage of Bob's "moral" standing in the conversational frame. Bob has shot the hostage in the face. This saves everyone a lot of time and energy x.com/aryehazan/stat…

wanye (@wanyeburkett) 's Twitter Profile Photo

This is really what I find so revolting about European socialism. We make fun of them for being poor, but actually I think there are all kinds of things I would do or not do completely disconnected from the economic consequences. What makes Europe such a sad case is that they’re

Peter Schmidt-Nielsen (@ptrschmdtnlsn) 's Twitter Profile Photo

Every time this comes up, a bunch of people miss the point. Each one clearly values watching someone eat shit at >$100, and disvalues eating shit at <$100. This is two people with (utterly bizarre) preferences, getting gains from trade that they wouldn't have gotten were it not

Sam Rose (@samwhoo) 's Twitter Profile Photo

I wrote a lil' tool that extracts the attention matrices out of open models and creates this typing visual, with each token's opacity changing according to its average attention score as the prompt progresses. Dimmer words are considered less important to the model.

Stefano Ermon (@stefanoermon) 's Twitter Profile Photo

Mercury 2 is live 🚀🚀 The world’s first reasoning diffusion LLM, delivering 5x faster performance than leading speed-optimized LLMs. Watching the team turn years of research into a real product never gets old, and I’m incredibly proud of what we’ve built. We’re just getting

Super Panican Bro (@barneyflames) 's Twitter Profile Photo

The problem is that the entire worldview of the professional managerial class of the west is completely wrong, and chud Reaganite and Thatcherite free marketers are basically right. This is really hard pill for the western PMC to swallow

Awni Hannun (@awnihannun) 's Twitter Profile Photo

I've been thinking a bit about continual learning recently, especially as it relates to long-running agents (and running a few toy experiments with MLX). The status quo of prompt compaction coupled with recursive sub-agents is actually remarkably effective. Seems like we can go

Even Better Cameron Pfiffer 📎 (@cameron_pfiffer) 's Twitter Profile Photo

Quantum Daddy michel G Awni Hannun Letta's memory structure is actually quite simple. People try to make memory much more complex than it needs to be by using graphs or whatever, but IMO this is kind of a waste of time. I think of memory as (broadly) two things: - state, persistent sense of self - retrieval,

roon (@tszzl) 's Twitter Profile Photo

permissions boundaries like api keys, user accounts, walled gardens have become so much more value destructive in the agentic age. i don’t really see a perfect solution

rohit (@krishnanrohit) 's Twitter Profile Photo

Question: what's a list of capabilities that AI has not meaningfully progressed on from 2023 till today? Writing well is my example, esp fiction, where it's gotten subject cohesion but the slope of the line is much flatter than eg coding. What else?

Ramez Naam (@ramez) 's Twitter Profile Photo

rohit 1. Achieving multiple-9s reliability. 2. Generalizing beyond the training distribution. 3. Knowing what they don't know (AI Dunning-Kruger) 4. Learning efficiency / learning from sparse data.