Goldee Udani
@goldeeHacker, Ex-entrepreneur, Philomath, Non-conformist, Interested in Psychology, Astronomy, Behavioral Economics, Business and Technology. Views my own.
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Great founders are concise and direct communicators. They are not in pitch mode. They use simple declarative sentences. The word itself becomes reality when you can be that clear. @bradflora describes one such YC startup 👇
Clear logical step by step thinking is the antidote for hallucination and self-delusion … in machines and humans both
FOOLED BY RANDOMNESS My conjecture, expressed on X, that pple w/news in advance don't do well has been tested by Haghani et al. Indeed they failed to really capitalize on information 1) you don't know beforehand what is noise, & 2) overestimate the information (sizing)
"The market is like a large movie theatre with a small door, and the best way to detect a sucker is to see if his focus is on the size of the theatre rather than that of the door" -@nntaleb
I’ve made or seen hundreds of hires, and one thing I have never seen is a B player hire an A player. Not once. If you play that out, you realize that compromising on even a single role can destroy a team forever.
Excited to share our latest research on using AI to study demographic representation in Indian TV shows - blog.google/intl/en-in/com…
AI cycle is different in that the time to realization of its importance by incumbents was instant (because the early results were so impressive.) This tilts the scales in favor of incumbents vs startups, in trivial applications, unlike past cycles, when startups got a head start.
No first-version of a successful software product was ever built by more than 10 engineers. Agree/disagree? My mentor, Rajeev Motwani, who also mentored the founders of Google, used to say that the ideal size for a first-version product team is from 5-7 people. Just like in a…
Reinforcement Learning by Human Feedback is just parenting for a supernaturally precocious child.
LLMs are soon going to be better doctors than many (most?) human doctors. Some LLMs may already be there today. What we choose to do with the fact will be an increasingly interesting and important question.
@pmarca @Dominic2306 @sriramk would you really oppose treating AI-based medical systems as medical devices? Given their black box nature and current instability I think there would be significant risk of serious harm if they were exempt.
Timeless moats - deep tech, proprietary hard-to-get data and innovative distribution strategy that doesn't inflate the CAC
In AI, too often debates are “which is more important, ideas or execution.” Wrong question since both are critical, though seems clear that execution tends to be more undervalued.
Many believe that great AI advances must contain a new “idea”. But it is not so: many of AI’s greatest advances had the form “huh, turns out this familiar unimportant idea, when done right, is downright incredible”
Perhaps the single most important virtue in ML engineering is persistence. The ML engineering process is one of repeatedly checking & understanding every detail of the system, until it finally goes through a phase transition from "not working at all" to "working shockingly well".
Start-up life = hard won insights. Here are my top 10 for this year. 1. Doing well at a start-up is not simply about skill, it is about mentality. A start-up mentality values action over correctness, results over process. It suits those that value autonomy over clarity.
Congrats, @shachi_dave!
As India’s digital journey becomes powered by AI, it's crucial that we consciously invest in efforts to ensure that real-life societal biases don’t manifest in tech. Introducing Project BINDI: 🔴Bias 🔵Interventions for 🟢NLP and 🟠Data in the 🟣Indian context #GoogleForIndia
We’re finally going to see a Musk product in self-driving mode.
Some conclusions stand the test of time. Like all investment classes, startups also need to get their timing right for them to succeed wildly
The single biggest reason why startups succeed.. This is my TED talk from 7 years ago. The top reason surprised me then and I think it’s still relevant today, seven years later. ted.com/talks/bill_gro…
Congrats, @haxplorer
The single biggest reason why startups succeed.. This is my TED talk from 7 years ago. The top reason surprised me then and I think it’s still relevant today, seven years later. ted.com/talks/bill_gro…
The 12 types of ML papers. (created by @natashajaques @maxhkw) #MachineLearning #ML #DataScience
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