Our third xenobots paper was published today in PNAS. In a nutshell: they can now self-replicate. w/ @DougBlackiston, @drmichaellevin, @DoctorJosh More info: https://t.co/ySLBHeaGlL https://t.co/vTvS2E3PoG
— Sam Kriegman (@Kriegmerica) Nov 29, 2021
Congrats to @truera_ai, @getclockwise, @AbnormalSec, @InstabaseInc, @cresta, @cribl_io, and @SnorkelAI on being named to the #IA40, an industry driven list of the top companies building intelligent applications. https://t.co/ssZDT5UPuC
— Greylock (@GreylockVC) Nov 29, 2021
Types of Machine Learning Algorithm #machinelearning #artificialintelligence #datascience #ml #ai #deeplearning To follow posts: https://t.co/p81j7vP0zv https://t.co/dK45TXt30v
— Vipul Patel (@Vipul168) Nov 27, 2021
Sir Isaac Newton on his accomplishments https://t.co/W72vWOwa6q
— Fermat's Library (@fermatslibrary) Nov 28, 2021
Linear Algebra course by @MIT is free and open for everyone! Find: 1. Videos and lecture notes 2. Assignments: problem sets with solutions 3. Exams and solutions Learn the basics: https://t.co/WFxMIiBUId https://t.co/oyP7NiNpQ6
— TheSequence (@TheSequenceAI) Nov 27, 2021
This @SuB8u puts out a wonderful newsletter every Saturday called Curated Commons, which links out to some 10-15 articles on technology, business and more. Highly recommended. https://t.co/Fkl2Tc076n Today I calculated how much time I spent reading it + the links. Here. https://t.co/jPpuVHoqpC
— Deepak Gopalakrishnan (@chuck_gopal) Nov 27, 2021
@hsoumen Hi, you can read this thread from @SBF_FTX here: https://t.co/eZDDNW996i
— Threader (@threader) Nov 26, 2021
In the early days of the Web, we had internet startups. Now all companies are internet companies. In the early days of the iPhone, we had mobile startups. Now all companies are mobile companies. Today we have AI startups. In the future, all companies will be AI companies.
— Mike Speiser (@laserlikemike) Nov 26, 2021
What is Causal Machine Learning? https://t.co/YmTx9U4e7r
— /MachineLearning (@slashML) Nov 26, 2021
I wrote a blog post: "Neural-Control Family: What Deep Learning + Control Enables in the Real World." This post discusses some key principles of our work on learning robotic agility in safety-critical systems (e.g., Neural-Swarm below). https://t.co/efgpMhQjSy https://t.co/py215RP52C
— Guanya Shi (@GuanyaShi) Nov 25, 2021
SAND and MANA have been killing it recently! Is this just the beginning? A report from crypto investment giant @Grayscale indicates that the Metaverse presents an over $1 trillion annual revenue market opportunity. Are you bullish on the Metaverse? https://t.co/keXrgN3ue2
— Cointelegraph (@Cointelegraph) Nov 25, 2021
I'm excited to share something I've been working on for a while—https://t.co/sA7z9k0opo! It collects the tacit, tribal, ghost knowledge on how to apply machine learning from papers, guides, and interviews with ML practitioners.
— Eugene Yan (@eugeneyan) Nov 25, 2021
Bet on technological progress. https://t.co/279vKLGMBk https://t.co/QnzmFKeGZz
— Balaji Srinivasan (@balajis) Nov 24, 2021
In the latest edition of Down the Rabbit Hole, Meet @0xPolygon - Ethereum's internet of blockchains! A protocol, building & connecting Ethereum - compatible blockchain networks, and scaling @ethereum ✨🦄 Learn more 📖👇 https://t.co/gDTJQ50QV5
— The Dapp List (🦉,🦉) | $WISE (@thedapplist) Nov 24, 2021
Startups are hard because the world by default likes to remain static. The effort a startup has to do to push their vision into existence and survive the thousands of challenges it will immediately face is enormous. Only do a startup if you’re prepared for this.
— Aaron Levie (@levie) Nov 23, 2021
Happy to share our latest paper from @GoogleAI, @DeepMind "ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning" where we scaled multi-task learning to 107 NLP tasks! link : https://t.co/joDYtX1Jcr https://t.co/6sWAZKqEAK
— Yi Tay (@YiTayML) Nov 23, 2021
RT @omarsar0: Easily my favorite new machine learning series https://t.co/EN8BvgIdtW on using differential geometry and algebraic topology to offer a new perspective to challenges in graph ML. Also, great list of references. (by @mmbronstein) https://t.co/W0vOQ0ANHE
— 🅴🆂 🅼🅰🆁🅺🅴🆃🅸🅽🅶 🅳🅸🅶🅸🆃🅰🅻 (@esMktDigital) Nov 22, 2021
"I’m not always sure how many people understand just how many startups are being created now. From 2010 to 2019, YCombinator alone backed 1,561 US companies (353 have died and 253 were acquired, while 955 remain independent)". - @benedictevans https://t.co/CJtPFevDpN
— Rohan Venkat (@RohanV) Nov 22, 2021
🎅 🎄 This week is when it really feels like the holidays are almost here. For me it is the appearance of the “books of 2021” lists!
— Sriram Krishnan - sriramk.eth (@sriramk) Nov 21, 2021
DAOs, A Canon Our latest collection of essential resources on the foundations of web3. This list of curated readings is for those seeking to understand, build, or otherwise get involved with decentralized autonomous organizations. https://t.co/oWBUXZi4X3
— a16z (@a16z) Nov 21, 2021
https://t.co/UEwl3nJRVI https://t.co/i76GCO3hwq
— Eric Schmidt (@ericschmidt) Nov 20, 2021
Easily my favorite new machine learning series https://t.co/PmtF0Sp41F on using differential geometry and algebraic topology to offer a new perspective to challenges in graph ML. Also, great list of references. (by @mmbronstein) https://t.co/28NhEkJbsH
— elvis (@omarsar0) Nov 20, 2021
This new model is enabled by wav2vec 2.0, which we released last year — it lets you train speech models using only audio, which really expands what’s possible when you’re trying to develop speech recognition and translation systems for all the world https://t.co/vS7WNSD4nm
— Mike Schroepfer (@schrep) Nov 18, 2021
The AI model we’re releasing today is trained to understand 128 languages. It gets great results on the CoVoST-2 benchmark, which tests speech translation — and it does an amazing job on languages where there’s not as much digitized training data - “low resource” languages in AI: https://t.co/OOXm4lBUkU
— Mike Schroepfer (@schrep) Nov 18, 2021
We’re at the early stages of the consumer fintech era, says @illscience and @sumeet724, which means there’s a lot of white space for builders. https://t.co/yq2rEbJN0h
— a16z (@a16z) Nov 19, 2021
We @sequoia see a tremendous opportunity for founders building private, autonomous, decentralized Web3 experiences. Here’s why: https://t.co/qSmWfaVNZc
— Konstantine Buhler (@KostaBuhler) Nov 18, 2021
Podcasts w/ @balajis as guest have become must-listens - his ability to paint visions of the future based on the most important current trends is really unique. Some topics covered in this pod w/ @tferriss: China/US, crypto, creating new cities. https://t.co/I41QHDXewN
— Boris Wertz (@bwertz) Nov 16, 2021
Another @balajis cannon dropped last week when he joined @antoniogm on @getcallin Here is a thread of a few great clips from the marathon episode 🪡 Balaji introduces the idea that the people around us are the anons (1/5) https://t.co/na5b4BhY3b
— grady.eth (📜,📜) (@gradywellsbot) Nov 17, 2021
You can now get instant access to our GPT-3 API: https://t.co/Q6WA2sT7IW
— Greg Brockman (@gdb) Nov 18, 2021
Why did HBO pass on a plan to become Netflix in 2005? Why didn’t a Time Warner/Apple deal happen? And why did AT&T dump WarnerMedia a couple years after buying it for > $100 billion? My chat with @JimMiller about Tinderbox, his new HBO oral history https://t.co/dBj2MWp0OQ
— Peter Kafka (@pkafka) Nov 18, 2021
There are ~100,000 sizable Amazon 3rd party seller businesses The “asset class” of these stores could be worth hundreds of billions “Aggregators” are building portfolios of these small businesses @jspujji and @AliBHamed explain aggregators in detail https://t.co/zTCBF7z17F https://t.co/FhMxReOu1j
— Patrick OShaughnessy (@patrick_oshag) Nov 17, 2021
This animation from @spinlaunch of their rocket-launching system, which is basically throwing satellites into orbit using a giant centrifuge is wild. And exciting! 👏 https://t.co/ANjpur5BP4 https://t.co/YF9FWn2FeW
— Subrahmanyam KVJ (@SuB8u) Nov 15, 2021
"The world changed on Nov. 15, 1971, and hardly anyone noticed. It is the 50th anniversary of the launch of the Intel 4004 microprocessor..." https://t.co/i86kE4iDbH
— Tren Griffin (@trengriffin) Nov 15, 2021
Solid overview of the Taproot upgrade from @KenzieSigalos https://t.co/ia4XbHk4mR
— Pomp 🌪 (@APompliano) Nov 14, 2021
An announcement I’ve been aching to make! After much sweat, we’ve built a trainable version of AlphaFold2, implemented in PyTorch, which we’re calling OpenFold. GitHub: https://t.co/3QEWpOdO6y Colab: https://t.co/YSZO6sGxz5 Why a trainable version of AlphaFold2 you ask? ⬇️
— Mohammed AlQuraishi (@MoAlQuraishi) Nov 12, 2021
@cdixon i’ve started to describe web3 as the ownership layer - could have been inspired by one of yours or another recent thought leaders tweets. 1. read 2. read / write 3. read / write / own
— j1mmy.eth (@j1mmyeth) Nov 12, 2021
I wrote something about big tech buying small tech startups. Numbers and a chart. https://t.co/8HxrOhNZNE
— Benedict Evans (@benedictevans) Nov 12, 2021
@cdixon @cdixon @j1mmyeth I read this post in September: https://t.co/xrSvkII1lm credit: @eshita
— Aaron_S 🇮🇪🏴🇬🇧🇦🇺🏴 (@IamAaronSmith) Nov 12, 2021
Huge h/t to curator @FWBtweets with @alexxzzhang @raihan_ @0xProf, more, for one cracking auction and DAO. That was wild. More to come. https://t.co/sCCOhkThww
— Matthew Ball (OOO) (@ballmatthew) Nov 12, 2021
10/ In 1974 Saudi Arabia and OPEC were awash in petrodollars. They had an account surplus of $70 billion, up from $7 billion the year before: an amount nearly 5% of US GDP. It became US government policy to convince the oil exporters to save in US debt. https://t.co/fBMJLkLQsJ
— Alex Gladstein 🌋 ⚡ (@gladstein) Nov 11, 2021
Here is some shocking data about podcasts. According to Buzzsprout, 50% of all podcasts only have … wait for it… 29 downloads per episode within 7 days of posting. And the top 1% dominates, but even they don’t really that many downloads per episode. https://t.co/IrALRdZeEV https://t.co/whWnnDjKVG
— Thomas Baekdal (@baekdal) Nov 11, 2021
EXCLUSIVE: Alphabet is launching Isomorphic Laboratories, which aims to leapfrog off the success of DeepMind's protein-folding work to apply deep learning methods to drug discovery. https://t.co/Pp8ngQ5XaV
— STAT (@statnews) Nov 4, 2021
https://t.co/IUZvbzEXkR
— Archillect (@archillect) Nov 11, 2021
How Meesho's big, bold bets took it close to $5-billion valuation at lightning speed https://t.co/ACqn32rPcY
— Vidit Aatrey (@viditaatrey) Nov 11, 2021
Pinching myself that I got to write about the future of creators & ownership in @TheEconomist "Creators will harness their power, leading to the birth of a new set of platforms that confer ownership and control—and treat creators as first-class citizens" https://t.co/YcZ2sJkMoa
— Li Jin (@ljin18) Nov 10, 2021
Big day for @ycombinator companies @embarktrucks (W16) $EMBK and @getweave (W14) $WEAV who both rang the bell this morning on the Nasdaq and NYSE respectively. https://t.co/ayAmUImjN8
— Geoff Ralston (@gralston) Nov 11, 2021
Forget FAANG. The most important technology platforms for the future are semiconductor platforms. Five companies create the most important silicon platforms that directly influence our future. I call them the Silicon Big Five. My first report in a series. https://t.co/jWmpijGVAB
— Ben Bajarin (@BenBajarin) Nov 11, 2021
Interested in this dataset US + EU since 1900: - relative total stock market cap - relative total bond + cash market cap - relative total cap of gold + bitcoin In other words: equity, soft money, hard money - how do these communicating vessels fluctuate? https://t.co/xR3t8its6Y
— Tuur Demeester (@TuurDemeester) Nov 11, 2021
The U.S. stock market is now $54T, up from $9T in 2008 and up from $27T just 20mo ago. Always blown away by this data (which I have to look at for our % passive chart). I remember when it was $30T and thinking how massive that seemed. https://t.co/5crdwEJDz1
— Eric Balchunas (@EricBalchunas) Nov 11, 2021
Join us next week to hear @arunshastri share insights for how organizations like Citi, Sweetgreen, Choice Hotels, United Airlines, and Walmart are using data, new analytic tools, technology, and a people-first mindset to reinvent #customerexperience https://t.co/GZiRmAAG70 https://t.co/skt1rCgLTy
— DigitalHealthCo (@digitalhealthco) Nov 11, 2021
Ensembles of neural models are simple, yet valuable tools for #ML developers. We demonstrate that such ensembles can match or exceed the accuracy of state-of-the-art single models, while being considerably more efficient. Learn more at https://t.co/XJCVdGoSKO https://t.co/KhEvBo4vrp
— Google AI (@GoogleAI) Nov 10, 2021
1/ Apple today announced Apple Business Essentials https://t.co/rN7JGebVta, a subscription-based service for device management setup & onboarding. It includes iCloud storage & optional 24/7 access to Apple Support for small businesses with up to 500 employees.
— Carolina Milanesi (She/Her) (@caro_milanesi) Nov 10, 2021
One of my books of personal stories i co-wrote with someone I have known since we were in Kindergarten together. We bought the copyright back from the publisher and give the away for free on the internet. Free as in free beer (like my 300 25iQ blog posts). https://t.co/qMeWN739vJ https://t.co/8CoC1Bj5dT
— Tren Griffin (@trengriffin) Nov 8, 2021
Incredible advertising 👇 https://t.co/8YcD3FE2gm
— Andy Weissman (@aweissman) Nov 7, 2021
The fastest animal on the planet (much faster than a cheetah, which is the fastest LAND animal) is the peregrine falcon, which reaches eye-watering speeds over 320 km/h 9200 mph). *Photo by Gordon James. https://t.co/NTLSwti6qc
— Physics & Astronomy Zone (@zone_astronomy) Nov 6, 2021
Which classic web property would make great sense re-imagined in web3 terms (token + DAO with community incentives). My personal goto answer here always is Wikipedia.
— Sriram Krishnan - sriramk.eth (@sriramk) Nov 6, 2021
Cultural Learnings of Web3 for Make Benefit Glorious Nation of LinkedIn Thought Leaders https://t.co/4lnO5coP3M
— Venkatesh Rao (@vgr) Nov 5, 2021
Slow at first... then all at once. https://t.co/c2jPudtfjw
— Kyane “Omowale” Kassiri (@kyanekassiri) Nov 5, 2021
Another book is by @mims is "Arriving Today: From Factory to Front Door -- Why Everything Has Changed About How and What We Buy" // excellent first hand account of the supply chain - fair warning, not a big fan of negative take on amazon. https://t.co/2V3Bhb922f
— Steven Sinofsky – stevesi.eth (@stevesi) Nov 5, 2021
late to this by @stevesi, it’s great https://t.co/KrXZ5DZJL0
— farhad manjoo (@fmanjoo) Nov 4, 2021
I've invested in ~40 startups. They fall into this 2x2 grid. The bottom right is most brutal. If you're there. Switch ideas. https://t.co/nWpNX6xjxF
— Shaan Puri (@ShaanVP) Nov 3, 2021
@cdixon appearing on both my fav pods @BanklessHQ and @tferriss within a week was the much needed bullish start to the month If you’re ever doubtful of the obviousness of Web 3, Chris’ mental models are a cheat-code 👀 https://t.co/bdf2CIdu9J
— Rohan (@rohanagrwl) Nov 1, 2021