Parth Shah

234 posts

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Parth Shah

Parth Shah

@parthsh_

Machine Learning Engineer @ Zscaler 🏫: UC San Diego, IIT Guwahati 🏢: Signify Research, Wadhwani AI, Publicis Sapient https://t.co/zm9DStLeWp

San Jose, CA Katılım Temmuz 2021
1.5K Takip Edilen308 Takipçiler
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Parth Shah
Parth Shah@parthsh_·
Hot take - Mixture of expert models are jack of all trades, masters of none I am sure you've heard of the term mixture of experts recently from the ton of new models being released every day (DBRX, GPT-4, Claude). It has become a standard go-to for training LLMs at scale. (1/14)
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unusual_whales
unusual_whales@unusual_whales·
11.9% of American households make over $200,000 a year, per WSJ
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Adele Bloch
Adele Bloch@adele_bloch·
high screen time is a signal that you don't have enough interesting things going on in real life - it's the easiest thing to grab when you’re low energy. plan things that energize you. put in the activation energy to build a fulfilling life. change your inputs. use your agency.
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Parth Shah
Parth Shah@parthsh_·
@RadishHarmers It’s only called Bayesian if it’s from Bay Area. Otherwise it’s called sparkling frequentist approach.
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Sridhar Ramesh
Sridhar Ramesh@RadishHarmers·
"Bayesian" means from the Bay Area.
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Parth Shah
Parth Shah@parthsh_·
@ftlsid Scrolling the bird app for four hours as psychological inquiry
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Parth Shah
Parth Shah@parthsh_·
The pursuit of humanity is one large ablation study.
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Parth Shah
Parth Shah@parthsh_·
@michielsdj @natolambert Faster highways always lead to people moving farther leading to same or increased travel time. Faster models will happen which will do today’s performance at a faster speed. The expectations of the models will be to perform more difficult & longer tasks here on out.
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Michiel de Jong
Michiel de Jong@michielsdj·
@natolambert I think this is unlikely to be the case, because at that point you will still be able to get higher quality if you’re willing to wait longer. You can already use faster models at the cost of quality now, e.g. composer
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Nathan Lambert
Nathan Lambert@natolambert·
The combo of improvements in reasoning efficiency (fewer tokens per answer, still very new research area) and faster chips is going to make coding agents so so much faster in 6-12 months. The products in 2+ years will feel approx instantaneous relative to today.
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Parth Shah
Parth Shah@parthsh_·
This opening goes so incredibly hard
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Matthias Schmidt
Matthias Schmidt@eurofounder·
My son asked for a PS5 for Christmas I said no “Son, PlayStation is made by an evil corporation built on worker exploitation” I got him another electronic gift instead - an EU-approved USB-C cable He opened it with visible disgust Then something utterly shocking happened My wife’s boyfriend Arnold got him the PlayStation my son wanted “Thank you uncle Arnold” my son hugged him for almost a minute I pulled my wife aside and explained that her lover is undermining our values She mumbled “at least he got him a real gift” The morning after, while my son was still asleep, I took his console and went to the store Thanks to the wonderful EU consumer protection law, I was able to get a full cash refund of €549 Then I bought a gift for my son that he truly deserves €549 worth of carbon offset credits When I came home my son was crying looking for his PS5 I smiled and showed him the carbon certificate He started shaking and cried even more Being a good parent means teaching your child European values And I know my son will thank me for it in the future
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Sahil Bloom
Sahil Bloom@SahilBloom·
Everyone needs to hear this…
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rain
rain@redactedrain·
You’re a fake ass chiller bro I can sense your ambitious nature
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Parth Shah
Parth Shah@parthsh_·
Also props to @poetiq_ai whose harness w Gemini 3 Pro remains unbeaten
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Parth Shah
Parth Shah@parthsh_·
@cpaik Another data point to analyse here is to evaluate how much ad revenue per thousand watch hours YouTube pays creators who make educational or edutainment content. Their income compared to tech review creators (who create high commercial intent content) is another indicator.
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Parth Shah
Parth Shah@parthsh_·
@cpaik You present an interesting data point. i’d implore you to consider the volumes behind these searches. The tail of low-margin info searches is long and thick and it’s incorrect to assume they don’t make a considerable portion of the search business revenue.
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Parth Shah
Parth Shah@parthsh_·
LIC andheri is now named Mutual funds sahi hai andheri 😭
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Parth Shah
Parth Shah@parthsh_·
Mumbaikars walk much slowly then other cities. Bad walking infra or other good means of transport?
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Parth Shah
Parth Shah@parthsh_·
@lulumeservey Well articulated. I’ll add that even in in-person meetings, we feel the cringe when someone tries to seek more importance than they deserve. If Lex brought up his affiliation with MIT in person you’d not feel great about it.
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Lulu Cheng Meservey
Lulu Cheng Meservey@lulumeservey·
Lex Fridman is earnest, self deprecating, and nice to everyone. Sure he blocks people but he doesn’t get into spats with them So why the hate? When people feel someone has more reputation than he deserves, they have an urge to correct it We all have an implied homeostatic set point for how highly rated a person (or company) should be. If someone seems underrated, we want to raise them up; if someone seems overrated, we feel compelled to take them down a peg In Lex’s case, people think he’s taking credit for an MIT affiliation that he hasn’t earned and enjoying an audience size that he doesn’t deserve Smaller critiques like “he’s trying to seem erudite but he hasn’t even read these common books” or “he’s showing off his language skills but it was totally unnecessary” all follow the same logic. It comes down to a perception that he’s inflated his standing somehow In a weird way, the hate isn’t personal. I don’t think people truly dislike him, and most would probably enjoy meeting him. But they are instinctively kicking into “correction mode” Many times, including this one, that’s pretty unfair and my hope is that we can check these instincts by recognizing what they are
Jack Altman@jaltma

I think this is a brilliant observation from Lulu: people root for you when they think you deserve more than you've got, and root against you when it's the opposite. It captures an essential element of good comms...how can you help people think you're underrated rather than overrated? People are very motivated to correct the record in either direction, or as Lulu puts it, "We're all kind of reputational karens."

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