Saptarshi Bhattacherya

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on the atlas — 15

highlights — 11

It’s true that a great product team will collect lots of user feedback, systematize it, and make data-driven decisions – a “scientific” approach to product. However, as we know from Sony in the 1980’s, Steve Jobs, and other iconic product organizations, it’s also true that greatness in products requires leaders to tell customers what they want, not merely to ask and respond to customer data. This requires leaps of creative intuition, or an “artistic” approach to product. These are conflicting methodologies, but extreme forms of both must exist inside of a product organization for it to be grea…
Dialectical Wisdom - Joe Lonsdale
Imagine a flashy spaceship lands in your backyard. The door opens and you are invited to investigate everything to see what you can learn. The technology is clearly millions of years beyond what we can make. This is biology.
I should have loved biology
cells as recursively self-modifying programs
I should have loved biology
Although it is possible to hand code the rules or train a predictor for one of the properties, precisely representing the combination of these properties is extremely challenging. Adversarial training addresses the challenge
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation
A reinforcement learning approach to goal-directed molecule generation presents several advantages compared to learning a generative model over a datase
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation
We represent molecules directly as molecular graphs, which are more robust than intermediate representations such as simplified molecular-input line-entry system
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation
"Perhaps some phenomena seem enigmatically complex because we are trying to understand them using the wrong set of variables. In the experiments, the number of variables was the same each time the AI restarted, but the specific variables were different each time. So yes, there are alternative ways to describe the universe and it is quite possible that our choices aren't perfect."
Roboticists discover alternative physics
So many people ‘interested in tech’ just treat school like a training ground. Why not treat it as the fertile ground for intellectual exploration that it really is?
How Tech Hype is Ruining College Students in Tech
If someone is interested in machine learning and tech, and everyone around them is interested in machine learning and tech, it’s probably a low signal. They could be people who are actually passionate about it, and found/got themselves in the right place. Or they could be going along for the ride. But if there’s someone who’s very passionate about, say, vertical gardening, when everyone around them is interested in machine learning, that’s a more interesting signal.
How Tech Hype is Ruining College Students in Tech
If college is such a waste of time, then drop out. And if you aren’t doing that, use it fully.
How Tech Hype is Ruining College Students in Tech
“Product-first” engineers are obsessed with using code to solve a user problem and they see code as just a means to an end. “Code-first” engineers are obsessed with the abstractions, architecture, tools and libraries in the code. Elegant code is the end.
Stop just using “Frontend” or “Backend” to describe the Engineering you like - Michelle Lim