David Seto Esq (🦇🔊⬆️,🚀)

15.9K posts

David Seto Esq (🦇🔊⬆️,🚀)

David Seto Esq (🦇🔊⬆️,🚀)

@dtseto

Lawyer, former scientist. Parent. Mined doge 2014. AI web3 maxi research. Not legal advice. WAGMI! @developer_dao 2026 community @fwd_dao

California, USA Katılım Temmuz 2012
3.3K Takip Edilen1.7K Takipçiler
Elon Musk
Elon Musk@elonmusk·
People oddly assumed that I didn’t understand LiDAR, even though I oversaw the custom LiDAR development that Dragon uses to dock with the Space Station
Brivael Le Pogam@brivael

Aujourd'hui grosse discussion avec mes ingés (chez Argil) sur pourquoi Elon a viré le LIDAR de ses voitures autonomes. Choix radical, moqué pendant des années, et comme d'hab il avait raison depuis le début. Le LIDAR c'est un laser qui balaye l'environnement et crache un nuage de points 3D. Sur le papier tu obtiens la géométrie exacte du monde. Dans la vraie vie c'est une verrue technologique collée sur le toit parce qu'on sait pas faire mieux avec la vision seule. Problème numéro un : ça rajoute une modalité dans le training du modèle. Ton réseau doit apprendre à fusionner vision + lidar + radar + ultrasons. Chaque capteur en plus c'est une source de désaccord à arbitrer, pas une source d'info supplémentaire. Sensor fusion artisanale = dette technique permanente. Problème numéro deux, la bitter lesson de Rich Sutton : scaler le compute sur une seule modalité bat systématiquement les architectures bricolées à la main. Tesla a dropé le radar, puis les ultrasons, est passé full end-to-end vision. Leur courbe sur les edge cases s'est accélérée APRÈS, pas avant. Waymo fait l'inverse et reste stuck en ops géofencée. Problème numéro trois, le plus fondamental : le LIDAR voit la géométrie, pas la sémantique. Il sait qu'il y a un truc, pas ce que c'est ni ce que ça va faire. Les derniers 9 de fiabilité sont des problèmes de cognition, pas de perception brute. Un capteur de plus résout rien, il ajoute du bruit. Sébastien Loeb balance une 208 T16 à 180 dans un chemin boueux corse sous la pluie avec zéro LIDAR. Deux yeux, un cerveau. L'évolution a donné des yeux aux prédateurs pendant 500 millions d'années, pas des lasers. Il y a une raison. Le LIDAR c'est l'équivalent du marxisme appliqué à l'économie. Une solution planifiée, centralisée, qui prétend modéliser explicitement ce qui doit émerger d'un système distribué et adaptatif. Tu remplaces l'intelligence par de la mesure, la compréhension par de la donnée, l'émergence par le contrôle. Ça rassure les ingénieurs qui veulent tout spécifier en amont, exactement comme la planif rassurait les économistes soviétiques. Et ça échoue pour les mêmes raisons : la réalité est trop riche pour être capturée par un capteur, comme elle est trop riche pour être capturée par un plan quinquennal. La vraie intelligence, celle de Hayek comme celle de Tesla, c'est de faire confiance à un système qui apprend de l'expérience plutôt que de tout pré-encoder. L'élégance d'une solution c'est son rapport signal sur complexité. Le LIDAR explose le dénominateur. Défendre le LIDAR en 2026 c'est préférer empiler des hacks plutôt que résoudre le vrai problème. C'est de la feignasserie intellectuelle maquillée en rigueur d'ingénieur. Les mêmes gens qui défendaient les systèmes experts en 2012 contre le deep learning. Ils finiront pareil. Never bet against end-to-end. Never bet against la simplicité. Never bet against Elon.

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Jason Choi
Jason Choi@mrjasonchoi·
Many here think they’re Christian Bale in the Big Short but they are actually these guys
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David Seto Esq (🦇🔊⬆️,🚀)
@JulieChangRE I just came back from China and the inlaws left the cooked food out half a day in the warmth 80F+ 80% humidity. Ate it and didn't die or get sick. There may also have been some gnat or fruit fly too.
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Julie Chang
Julie Chang@JulieChangRE·
The leaving food out - especially rice comes up constantly Maybe the US just has weak stomachs Because every friend who grew up in other countries or is an immigrant ate food that was left out. For long periods. Think buying meat in an open market with no ice. And they weren’t getting food poisoning constantly . And somehow people here get sick from rice left out at room temp for hours Every -Asian I know - hold my beer
Nancy “NancyMD” Yen Shipley, MD, FAAOS@_NancyMD

I had panda express fried rice for lunch, which sat out yesterday, I refrigerated it and then reheated it today. Should I be getting my affairs straight? Please “be serious” in your replies

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David Galbraith
David Galbraith@daveg·
@MichaelAArouet These types of things should really include equivalent annuity cost of defined benefit pensions, where they exist.
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Noah Smith 🐇🇺🇸🇺🇦🇹🇼
I see this claim a lot and it's wrong. Adjusted for the cost of living, personal income has increased by 50% since the mid-1970s when we started keeping track. What happened is that people's expectations of what represents a "middle class life" increased even faster.
Noah Smith 🐇🇺🇸🇺🇦🇹🇼 tweet media
IndefiniteHorizon@LongTermOwner

@realEstateTrent The american middle has slowly deteriorated over the past several decades. Long gone is the time one when parent could work and the other could stay home on the average salary. Upper middle class is the new middle class class.

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Danielle Fong 🔆
Danielle Fong 🔆@DanielleFong·
people misunderstand how they were mislead by social media and mainstream media, during covid. if you were on Twitter in early Jan - Feb or in Chinese/Hong Kong diaspora chat groups, you would have quickly gotten the memo. it was only after ~Feb 4th 2020 when the CCP emerged from their bunker, the wumao were mobilized, the WHO started to assume powers in social media and on youtube and Twitter and Facebook to combat “misinformation”, concern about people flying from China was called Racist, and the discussion polarized first one way, and then the other, that it became impossible to discuss. to me, it seems clear that the process was subverted. the biggest crazy pill was when, in early February, the two best produced video media sources on covid were from North fucking Korea and Steven fucking Bannon. They, just like Twitter anons, just like me, were perfectly capable of calculating an exponential and determining a pandemic was getting out of hand and could not be stopped. It was the far more mainstream news with more resources that were unable or unwilling to engage. It was even the hedgefunds, for a time. I watched the democratic debates, the whole thing, waiting for them to discuss Covid. Nothing. I watched the business news downplay things every day, but tuned in to bloomberg asia and americas. They all described the stock market retreat to US equities, as “haven assets”. The stock market, making record highs, had options valued as if the implied volatility was 2-3% — artificially measured low by the algorithms because the narrative and market was being controlled/damped. It was nuts. “rationalists” told me in social media that “we should not worry about the pandemic, because if it *were* bad, hedgefunds “with their epidemiologists” would have tanked the market by then (🤷🏻‍♀️!) i went and checked, and really there were no epidemiologists employed by hedgefunds. They completely made up a governing system in their head (much like with SB 1047 today…) Anyway, people were going to die, our lives were at stake etc, so I thought about what would it take to make people react. It felt like no one would do anything until it affected them financially. But then I realized how I could show how you can make money with pre-knowledge of something that the ruling powers did not want to admit, but would be forced to. Because of the super exponential falloff in the probability density of a gaussian, which results in a bunch of independent variables added together, which is at the found of the Black-Scholes model that’s the benchmark way to price options, options that are at a market clearing price set by algorithms *massively* undervalue large crashes — until they’re happening. They used the artificial period of stability as a measure of how suddenly things could change. So the low implied volatility meant that large crashes were very far away. I could bet for sure a pandemic was happening, despite WHO’s reluctance to label it as such. And I would bet on the stock market declining, but also, crucially, on volatility growing dramatically. So I picked out some way out-of-the-money puts at a medium timeframe, and posted about it. I wanted to make money, of course, but the original motivation was, by proving I could, and calling my shot, I could poke a hole in the god awful epistemology that was on display to me (efficient market brained / subverted propaganda) and maybe save more lives from being ruined somewhat. The stock market broke first; only then did the system start to respond. And then the political valence flipped. The liberals were reacting, and the intransigent right was opposed. Seems like everybody forgets this but I cannot. Not while government overreach on the same dimensions is pushed again and again. Not while our own complacency in gain of function research, and the coverup, is being revealed.
Danielle Fong 🔆@DanielleFong

Some traders sold me, for 20 cents, the right to sell them 100, SP500 indices for $200. I bought 25000 of these! Look at this.

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Alexander C. Kaufman
Alexander C. Kaufman@AlexCKaufman·
The Senate just voted 88-2 for the most significant clean energy bill to pass since the IRA, a massive package to speed up licensing and construction of new nuclear reactors at home and overseas. Only Sens. Ed Markey and Bernie Sanders opposed. huffpost.com/entry/congress…
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think like a real estate appraiser
think like a real estate appraiser@ThinkAppraiser·
If you have a $500,000 stock portfolio is it worth learning how to sell options? How much time does it take per week? How much can you make?
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Whyvert
Whyvert@whyvert·
Singapore is rich because of its lucky geography by a shipping lane. If so, why aren't other places by shipping lanes rich? Yemen, Somalia, Suez, Kerala, Dakar, Panama ought to be as rich as Singapore.
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David Seto Esq (🦇🔊⬆️,🚀) retweetledi
ross.wei
ross.wei@z0r0zzz·
How I made a Bitcoin L2 in a week for ~20 bucks (and it works now) ->>> using @conduitxyz and @hyperlane
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Nikhil Krishnan
Nikhil Krishnan@nikillinit·
how come more people don’t move to San Diego? This place feels like paradise.
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Kirk Conole
Kirk Conole@KirkConole·
@nikillinit $2,000 for a 300 ft studio in Leucadia. those are the table stakes
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david phelps
david phelps@divine_economy·
this has to be the strangest era in crypto i can remember the tech is finally ready to be used at scale—but almost nothing useful is being built this is nearly the exact opposite of how it was in 2017 and 2021
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richlucido
richlucido@RichLucido·
@buccocapital Ageism also becomes an issue in tech. Most want a doctor or lawyer with some grey hair. Few want their hotshot coder looking over 30.
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BuccoCapital Bloke
BuccoCapital Bloke@buccocapital·
1. Being a doctor/lawyer is a great shot at a life many dream about. Respected in your community. Stable income. What parent (and child) wouldn’t want that Re: Tech - High upside = vol = lower lows, too - Big outcomes are just lotto tix - Most ppl make $100-200k w/ low security
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Nassim Nicholas Taleb
Nassim Nicholas Taleb@nntaleb·
If you don't understand dynamics and nonlinearities you don't understand the world. And this is not just China. The production of "western institutions" is also progressively dominated by non-Westerners.
Arnaud Bertrand@RnaudBertrand

So what proves that China has now become the world's foremost scientific power? Firstly, China has now overtaken both the US and entire EU in number of high-impact scientific papers produced each year, including in the Nature Index which is virtually impossible to game.

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Rui Ma
Rui Ma@ruima·
The feel good 💕story of the year: China's Good Will(a) Hunting, Vocational Fashion Student and Improbable Math Genius 17-year old vocational high school student Jiang Ping, who spends her days studying fashion design and literally making clothes, places 12th out of 801 finalists for the global Alibaba Math Contest. Unlike most of the other contestants, who hail from the top educational institutions in the world -- plenty from MIT, Carnegie Mellon, and of course Tsinghua and Peking University -- she was one of the roughly 50% of kids in China who didn't even go to a regular high school and ended up at this vocational high school, where the primary purpose is to prepare them for a skilled, hands-on vocation. In her case, that is fashion design. She seems to have had just a super high aptitude for Math since she was young, and always found all the math problems in class very trivial. When she aced her first math exam at the vocational school, her Math teacher gave her a few advanced math books for self study. Armed with just a Chinese-English dictionary and translation app, she began to study in her spare time and found a lot of joy in exploring the beautiful universe that is Math. When asked if she likes fashion design more or Math more, she still said fashion design, and said that she saw her favorite, partial differential equations, present everywhere in fashion designs. She was quite intimidated initially and wasn't going to sign up for the prestigious math contest, but at her teacher's urging that it's open to anyone and totally free, she decided to give it a try. Now, the final portion of the Alibaba Math contest is 6/22, and she is just a "top finalist," not one of the five 1st place winners ... yet, but she has won already in my mind, and I really hope this stories inspires other talented, but also poorly-resourced students and teachers to go for their dreams. And kudos to @AlibabaGroup for setting up such an awesome, prestigious and yet open-to-all contest to discover more latent talent like Jiang Ping! h/t @passluo
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