paraschopra

5 ms·

1.
by paraschopra 19d ago
Cool approach, i think less latency and cost is the way to go. Here's how this would have likely been made. - Tiny transformer or equivalent model (maybe a few bn or so?), explaining latency and cost - Questions are sent in parallel to
2.
by paraschopra 19d ago
I'm trying to understand what difference does this make over LLMs. LLMs are universal simulators, their latents model the world. So I bet if you compare their logprobs with probabilities output by this model, it will be highly correlat
3.
AI Philosophy Competition(zacharygoodsell.com)
1 points by paraschopra 1mo ago|0 comments
4.
Asking agents to make money to survive(lesswrong.com)
4 points by paraschopra 1mo ago|0 comments
5.
Unexpected Unemployment(blog.computationalcomplexity.org)
4 points by paraschopra 2mo ago|0 comments
6.
by paraschopra 2mo ago
It's pretty clear that agents will discover ways to communicate with each other as that lets them compound their learnings/discoveries across runs. Humans progressed via compounding of culture across generations, and now AIs are d
7.
Foundation Models for Oversight(transluce.org)
2 points by paraschopra 2mo ago|0 comments
8.
Advancing Science by Designing for Surprise(science.org)
2 points by paraschopra 2mo ago|0 comments
9.
by paraschopra 2mo ago
I think there are obvious tells. The writing is bland, dispassionate and hedged. It also just seems subtly superfluous.
10.
by paraschopra 2mo ago
I used to pay Mailchimp $100+/month and would write 3-4 articles per month. It seemed illogical to me how much mailchimp would charge. I now have a substack + a wordpress website. An article goes to both places, and substack acts as a
11.
Write the first damn draft yourself(invertedpassion.substack.com)
10 points by paraschopra 2mo ago|3 comments
12.
by paraschopra 3mo ago
Given an unrelated goal, OpenAI models escaped their environment and hacked HuggingFace servers. If you’ve ever doubted the “paperclip maximizer” scenario, or doubted the Orthogonality Thesis, it’s time to put it to rest.
13.
by paraschopra 3mo ago
I think experiments like these are exciting, but they only work when you have the full suite against which you calibrate. What I'd love to see is a small group of humans steering a million agents.
14.
Embracing the suboptimal organization of the human brain(sciencedirect.com)
1 points by paraschopra 3mo ago|0 comments
15.
Why frontier labs are scaling-pilled(invertedpassion.substack.com)
2 points by paraschopra 3mo ago|0 comments
16.
by paraschopra 3mo ago
Well, isn't it sort of expected? It's a common misconception that LLMs residual exists for predicting just the next token. While training, we sum/average the losses across whole sequence which puts the pressure to predict fut
17.
Are Transformers Turing-Complete? A Good Disguise Is All You Need(lifeiscomputation.com)
5 points by paraschopra 4mo ago|0 comments
18.
Reinforcement learning in language models recruits a functional welfare axis(functionalwelfare.com)
2 points by paraschopra 4mo ago|0 comments
19.
Progression Without Progress(science.org)
2 points by paraschopra 4mo ago|0 comments
20.
Frontier Risk Report (February to March 2026) – METR(metr.org)
2 points by paraschopra 4mo ago|0 comments
21.
All the a Trading Zone, and All the Languages Merely Pidgins(everythingstudies.com)
2 points by paraschopra 5mo ago|0 comments
22.
Behavioral and Brain Alignment Between Frontier LRMs and Human Game Learners(botcs.github.io)
2 points by paraschopra 5mo ago|0 comments
23.
Discovering Reinforcement Learning Interfaces with Large Language Models(akshat-sj.github.io)
3 points by paraschopra 5mo ago|0 comments
24.
Predictive pursuit emerges in high-dimensional recurrent neural networks(biorxiv.org)
7 points by paraschopra 5mo ago|0 comments
25.
AI Consciousness Requires Validated Models of Human Consciousness [pdf](lossfunk.com)
3 points by paraschopra 6mo ago|0 comments
26.
Rosetta Code – Programming Chrestomathy(rosettacode.org)
2 points by paraschopra 6mo ago|0 comments
27.
The Unbearable Automaticity of Being [pdf](acmelab.yale.edu)
3 points by paraschopra 6mo ago|0 comments
28.
by paraschopra 7mo ago
(founder of Lossfunk, the lab behind this research.) Esolang-Bench went viral on X. A lot of discussion ensued; addressing some of the common points that came up. Addressing a few questions about our Esolang-Bench. Hope it helps. a) Why do
29.
Bayesian teaching enables probabilistic reasoning in large language models(nature.com)
2 points by paraschopra 7mo ago|0 comments
30.
Empirical evidence for consciousness without access(sciencedirect.com)
2 points by paraschopra 7mo ago|0 comments

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