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Overview
I’m Paras Chopra and this is my digital home. These days, I’m building an AI lab called Lossfunk. Explore Start here to get an overview Explore all my projects My knowledge garden Mental models for entrepreneurs (my book) (250+) Twitter threads I’ve written Recent essays All essays and posts Want…
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Why AI agents aren't adopted widely
Hint: managing someone is actually hard, and most times not worth it. Most people don't use AI agents daily because delegation (to another human) is a learned skill. Using AI agents is actually a lot like doing natural language programming: specifying req
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Write the first damn draft yourself
I've said this before and I'll say it again: Using LLMs-written content professionally will spoil your career, especially if you're in early stages. Everyone worth their salt that I know is hugely aversive to reading slop and despite your smart attempts,
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Unsolicited advice to the Indian govt on frontier models
What can do to get ahead Here's some unsolicited advice to the government on what to do to help boost India's sovereign model story. 1. Mandate domestic models for all non-critical functions Government needs to be a guaranteed buyer for homegrown models.
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AI is challenging what words mean
"Math" is not what it used to be anymore I feel AI is breaking our usual, shared understandings of what words mean. For the first time ever, we have a new kind of cognitive labor that isn't humans, and that's breaking norms for what we've forever implicit
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Why are Indian companies not developing frontier models?
The answer is in economics, not talent. The biggest hurdle for an Indian company trying to develop frontier model is that right from the get go, it has to compete with Anthropic and OpenAI free plans + all Chinese open weight models. Chinese models mostly
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Why frontier labs are scaling-pilled
Investors underwrite scaling laws because the alternative (having an Einstein discover better algorithms) is high variance What would it take to make progress towards general intelligence, where general stands for any problem that might arise in our world
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LLM are universal simulators
Saying that LLMs are just next token predictors is underselling these beasts to a mind numbing degree.First, LLMs aren't just predicting the next token. They plan ahead - the loss function is the average of cross entropy across all future tokens in a cont
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Why math works so well in describing our universe?
Wigner wondered about the unreasonable effectiveness of mathematics in describing our universe. That is, why are our physical laws as described by precise mathematics produce predictions that turn out to be true? Let's look at it from three perspectives.
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How does behavior change happen
This essay is part of the series in which I talk about my learnings and insights building a habit coaching app (Nintee) in 2024. It didn't ultimately work out because an app has marginal influence in a human's life (v/s that of friends, family, culture an
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Learning flywheels are all you need
One intuition pump for the future of AI is to see what happened with human intelligence in our evolutionary past. Our ancestors 100k years ago had the same cognitive capacity as us (evolution works slowly) and yet all modern technology and knowledge has o
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