I had a wonderful conversation with @tferriss about growing up in South Africa, my path to entrepreneurship, and the @Sequoia approach to thinking long-term and building enduring companies. Listen here: https://t.co/lDeGf3ANpI
— Roelof Botha (@roelofbotha) Sep 1, 2022
1/ Today we’re thrilled to be launching a slate of open sourced “Can’t be Evil” NFT licenses. These licenses are designed specifically for NFTs and were inspired by 20-plus years of work by the Creative Commons. https://t.co/HodHFRvAuH
— miles jennings (@milesjennings) Aug 31, 2022
Evaluate 65,000 models across 10,000 datasets on the Hugging Face Hub! https://t.co/JaBYYEgfXa
— /MachineLearning (@slashML) Aug 31, 2022
What do @StabilityAI @EMostaque #stablediffusion & @BigscienceW Bloom - aka the coolest new models ;) - have in common? They both use a new gen of ML licenses aimed at making ML more open & inclusive while keeping it harder to do harm with them. So cool! https://t.co/o5ELwjc6vk https://t.co/vWUeMnSSi4
— clem 🤗 (@ClementDelangue) Aug 31, 2022
For a LIMITED time, you can try out the new checkpoint v1.5 in our Discord server! 🔥 Join here → https://t.co/IyFJwP8H5n https://t.co/PlwFJh7a4e
— Stable Diffusion 🎨 - News, Art, Updates (@StableDiffusion) Aug 31, 2022
"We can’t just bank on easy-to-get venture capital" The latest at Substack from @kyurieff https://t.co/wkDHZOgtQ8
— Kate Clark (@KateClarkTweets) Aug 30, 2022
Governments around the world are grappling with how to stamp out misinfo & toxicity on the internet. China is first to advance its solution: an unprecedented plan to control platforms' underlying algorithms. But there's a problem. It may be impossible. https://t.co/C3IBldFuBu
— Karen Hao 郝珂灵 (@_KarenHao) Aug 30, 2022
1 week of Stable Diffusion A creative explosion is unfolding with Stable Diffusion,s showing the power of open source as state of the art! We curated 23+ applications this week: new features, workflow integrations, UIs; run on Win, CPU, AMD, M1 and more! https://t.co/fhkdMuievS
— apolinário from multimodal ai art (@multimodalart) Aug 30, 2022
This FREE 280-page PDF report from @JPMorgan provides an excellent framework for #MachineLearning #AI and #BigData #DataScience investors, including an overview of types of alternative data and a brilliant tutorial on #ML methods to analyze the data: https://t.co/YXQ9YEgZKu https://t.co/mT5IDQh0uW
— Kirk Borne (@KirkDBorne) Aug 30, 2022
I think the pendulum is swinging back from digital technologies to physical ones. And the biggest factor is the incredible progress in batteries. Here's a rundown of some ways I think this will change our world very soon. https://t.co/RrTlcxoJM6
— Noah Smith 🐇🇺🇦 (@Noahpinion) Aug 30, 2022
Seven Seven Six, the VC firm founded by @alexisohanian, is now an RIA and its raising its first fund focused exclusively on crypto tokens. The fund, named Kryptós, is targeting $177.6 million. Scoop: https://t.co/1vXSdsKetM
— Kate Clark (@KateClarkTweets) Aug 30, 2022
Model explainability for 🤗 Diffusers. Get explanations for your generated images with the latest stable diffusion! https://t.co/zD07wM2gxa
— /MachineLearning (@slashML) Aug 29, 2022
Diffusion for music synthesis! We trained a “notes2audio” pipeline to synthesize audio from multi-instrument MIDI notes. Listen 🔊: https://t.co/keM3PgK0bC Play 🎼: https://t.co/KeuRwZfJAh Code 👩💻: https://t.co/mczOUi8r6b Read 📝 : https://t.co/hSFZePbLrc 1/ https://t.co/VqmgnP6g4o
— Curtis Hawthorne (@fjord41) Aug 29, 2022
Does Pinterest's "Shuffles" have some viral element in the mechanic of the product itself? Or is it just a valuable service driving adoption via word of mouth? https://t.co/9hhiqSszn6
— Tren Griffin (@trengriffin) Aug 29, 2022
Take a look at alpaca – an upcoming plug-in for Photoshop that combines Stable Diffusion's AI and human skill: https://t.co/s99pTg5XvB #photoshop #ai #aiart #generativeart #ArtificialIntelligence #stablediffusion https://t.co/wCmFgx5ArX
— 80 LEVEL (@80Level) Aug 29, 2022
Even Tim Cook teases us… Apple AR Glasses: A Next Big Thing Candidate https://t.co/ICHTRDuMIB
— Jean-Louis Gassée (@gassee) Aug 29, 2022
If we used the full cluster we could train this in a week. By next year it will be a few hours. Going to make this available to everyone, compression is intelligence and we are going to make it so anyone can have their own models to drive the intelligent internet. https://t.co/CmkFZHulyn
— Emad (@EMostaque) Aug 28, 2022
Stable Diffusion: $600k to train. I'm impressed and somewhat surprised - I figured it'd have cost a bunch more. Also, AI is going to proliferate and change the world quite quickly if you can train decent generative models with less than $1m. https://t.co/auddBQcAZY
— Jack Clark (@jackclarkSF) Aug 28, 2022
@KennethCassel We actually used 256 A100s for this per the model card, 150k hours in total so at market price $600k
— Emad (@EMostaque) Aug 28, 2022
stable diffusion inference running locally on my m1 pro, a thread: (16gb memory, 50 diffusion steps, https://t.co/mJNTZiekxf)
— bilal (@bilal2vec) Aug 27, 2022
Stable Diffusion web UI A browser interface based on @Gradio library for Stable Diffusion github: https://t.co/y4KGrprEKd https://t.co/HzRVx9chYj
— AK (@_akhaliq) Aug 26, 2022
Honestly just stunned by these Ghibli-style SF images generated by Stable Diffusion https://t.co/Dk9j0IpYIg
— Nabeel (@nabeelqu) Aug 26, 2022
8-25-2022 An Interview With Jay Goldberg About the Chip Slowdown, Intel and Nvidia, and the CHIPS Act https://t.co/COSseYz2t7
— Stratechery Members (@StratecheryMO) Aug 25, 2022
In a recent 23,000-participant study, we demonstrate how #MachineLearning can achieve ~30% improved engagement with an automated voice messaging program for maternal and child health in India, operated by our partners @armmanindia. ↓ https://t.co/5lNRrIaWez
— Google AI (@GoogleAI) Aug 24, 2022
Nike's NFTs have made $93.1 million in primary sales volume and $92.21 million in secondary sales to date. https://t.co/TcwCKwsrsl
— Matthew Ball (@ballmatthew) Aug 24, 2022
Our thoughts on How to Digitalize Your Sales Organization appear in the September/October issue of HBR Magazine. We welcome your perspectives. https://t.co/4cmU8mmkR4
— Arun Shastri (@arunshastri) Aug 24, 2022
Great news! Many things happen in the AI/ML world and we wish to know, how do you learn about the new releases, papers and staff like that? https://t.co/3JFIWBPIX8
— TheSequence (@TheSequenceAI) Aug 24, 2022
Gonna ship a Figma plugin to go from prompts + simple shapes to design ideas using #stablediffusion #aiart https://t.co/0VYais9C6X
— Antonio Cao (@RemitNotPaucity) Aug 24, 2022
3 amazing courses coming up in the next 4-6 weeks: 1. Applied Machine Learning 2. Building end-to-end Vision Applications 3. Deep Learning Essentials 4-week specializations with HuggingFace, Google, Meta, and Microsoft instructors.
— CoRise (@corise_) Aug 23, 2022
AI fashion show using dall-e to generate hundreds of outfits of the day after tomorrow. An interesting way to brainstorm costume and fashion design ideas. Collab with @shyamagolden @OpenAI #dalle2 #dalle #aiart https://t.co/Fewhk529r7
— Paul Trillo (@paultrillo) Aug 23, 2022
Evolution is amazing; this chart shows how metabolism happens. It is also amazing that we managed to figure all this out in one lifetime. (And unsurprising that adjusting these mechanisms is hard) High quality image: https://t.co/zrv5oSihde The original: https://t.co/CjfYyPVqut https://t.co/rXMdhW7FjE
— Ethan Mollick (@emollick) Aug 23, 2022
When to invest in "marketplaces" - Look for newly standardized data and new vectors of trust and transparency. https://t.co/DZWzqoY2xv
— sam lessin 🏴☠️ (@lessin) Aug 22, 2022
I've been away in tech conference land for a bit😅 but I'm starting to get back into experimenting with fun #Python packages again🐍✨ Today I played around with a python project for image animation that lets you imitate a video using a photo👀 https://t.co/aBZWZHx7FL https://t.co/Dfdil7xIjj
— Marlene Mhangami (@marlene_zw) Aug 22, 2022
Adrienne Klein's excellent Statistics Bootcamp continues: in the latest installment, we look at probability and explore the math and methods data scientists use daily in their workflows. https://t.co/yfYg73Rjpg
— Towards Data Science (@TDataScience) Aug 22, 2022
https://t.co/ApkbHkhkFy
— Gopi Vikranth (@GopiVikranth) Aug 22, 2022
A nice run down of stable diffusion. https://t.co/cywhHNBEFx
— Yann LeCun (@ylecun) Aug 21, 2022
"Redis vs Kafka vs RabbitMQ" https://t.co/Ee2RmXH0Eq
— 💙💛 Vadym Kazulkin 🇺🇦 (@VKazulkin) Aug 21, 2022
JPMorgan: Tether, Circle, and other stablecoin issuers now hold $80b of short-term US government debt, accounting for 2% of the Treasury bills market as of May (@scottchipolina / Financial Times) https://t.co/GvBL3kqwFq https://t.co/bw3rJpzDGq
— Techmeme (@Techmeme) Aug 20, 2022
@NeckarValue @stewfortier Benjamin Franklin worked hard to become wealthy but then he used that wealth to create financial freedom for himself to do what he wanted in life. https://t.co/sRCL3WfdMo
— Tren Griffin (@trengriffin) Aug 20, 2022
Stanley Druckenmiller explains why he bought #bitcoin "So here’s something with a finite supply and 86% of the owners are religious zealots. I mean, who the hell holds something through $17,000 to $3,000? And it turns out none of them —the 86%— sold it" https://t.co/oL2fVm6kqV
— Documenting Bitcoin 📄 (@DocumentingBTC) Aug 20, 2022
IMHO, diffusion models are as big a breakthrough as transformer models. It's a rare development when an architecture requires fewer compute resources than previous proposals. https://t.co/uccSQkvADj
— Carlos E. Perez (@IntuitMachine) Aug 20, 2022
"Knowledge of statistics is important if you work with data. Having a firm grasp of some fundamental concepts goes a long way in your ability to effectively communicate." Learn more from @KurtisPykes' post on statistics for machine learning here. https://t.co/TEyFhJvU1J
— Towards Data Science (@TDataScience) Aug 20, 2022
First Principles of Computer Vision, Columbia University Really nice lectures on the physical and mathematical foundations of computer vision. 140 videos that you can watch at your pace. Slides are also provided to follow along. https://t.co/zJ7e0VRox6
— Jean de Nyandwi (@Jeande_d) Aug 19, 2022
Cool AI tech releases of last week: 1. Google AI open-sourced Rax, a JAX-based library for supervised ranking algorithms 2. Open AI released a new version of Moderation Endpoint 3. Meta AI open-sourced Implicitron, a framework for 3D object reconstruction https://t.co/PDdiEuVbTN
— TheSequence (@TheSequenceAI) Aug 19, 2022
🎆 It's here! The complete index of every short 2-5min video in the Making Friends with #MachineLearning course: https://t.co/cLCG1MQOdg Happy learning! (If you enjoyed the #MFML course, please help it reach others who'd benefit from it. 💝)
— Cassie Kozyrkov (@quaesita) Aug 19, 2022
Google AI (@GoogleAI) open-source Rax, a JAX-based library for supervised ranking algorithms. It can be used in, but is not limited to, the following applications: 1. Search 2. Recommendation 3. Question Answering 4. Dialogue System 1/2 https://t.co/G860S4P7uW
— TheSequence (@TheSequenceAI) Aug 19, 2022
Expert network GLG makes ~$590M a year in revenue at ~74% gross margins (including the cost paid to experts). Customers are likely paying GLG more than double what the expert charges for the call
— Tanay Jaipuria (@tanayj) Aug 19, 2022
It's impossible to pull a quote from this post that beats the title. https://t.co/J7mm40JWxG
— Paul Graham (@paulg) Aug 18, 2022
Following their Q2 earnings results, I revisited Twilio's performance to see how they are tracking against their long-term model. $TWLO https://t.co/vBfvyy3GyJ
— Software Stack Investing (@StackInvesting) Aug 18, 2022
ASML is the most important company you've never heard of. The $220B Dutch firm makes the machines that make semiconductors. Each one costs $150m and access to them are a huge geopolitical flashpoint. Here's a breakdown 🧵 https://t.co/Ge0ryBWDsm
— Trung Phan (@TrungTPhan) Aug 18, 2022
@robespyotr No analogy, this is a quantum effect (in particular: no classical experiment allows for more light to pass through when you add a filter.) The experiment is equivalent to sequential Stern-Gerlach as described here: https://t.co/cbQtffSTyY
— Santiago Ortiz (@moebio) Aug 17, 2022
In nominal terms, US Retail Sales are still strong, hitting another all-time high in July, up 3.6% over the last 6 months. But after adjusting for inflation, the story changes. Real Retail Sales peaked in April 2021 & are down 1.1% over the last 6 months. Charting via @ycharts https://t.co/CeqlfNpxOV
— Charlie Bilello (@charliebilello) Aug 17, 2022
This is a long (200+ pages) but elementary treatment of tensors from the perspective of three definitions of a tensor: An object that satisfies certain transformation rules (equivariance); a multilinear map; an element of a tensor product of vector spaces: https://t.co/105lyh1mPH
— Shubhendu Trivedi (@_onionesque) Aug 16, 2022
why settle for a few images from #stablediffusion when you can slowly walk your way around the sample space and create hyponotic videos you can't look away from? In this 2min video (~1hr to render on A100) I'm smoothly interpolating between random noise inputs into the model. https://t.co/A4Ue1pqoMo
— Andrej Karpathy (@karpathy) Aug 16, 2022
LLM.int8(): 8-bit Matrix Multiplication for Transformers at Scale Develops a procedure for Int8 matmul for feed-forward and attention projection layers in transformers, which halves the memory for inference while retaining fp32 performance. https://t.co/D5qgJiycI7 https://t.co/6YIWqwPXkN
— Aran Komatsuzaki (@arankomatsuzaki) Aug 16, 2022
Learn the basics of MLOps by following this high-level, Python-focused introduction by @kylegallatin. https://t.co/gPH8RimQAR
— Towards Data Science (@TDataScience) Aug 15, 2022
Open-source rival for OpenAI’s DALL-E runs on your graphics card https://t.co/Ul7ytuBRZb (https://t.co/QTtsSVW1YX)
— Hacker News 200 (@newsyc200) Aug 15, 2022
Understand t-tests and hypothesis testing, and find out how to avoid typical mistakes with Artem Dementyev's post here. https://t.co/YXa5sWM0CV
— Towards Data Science (@TDataScience) Aug 15, 2022
As predicted, @cdrsalamander has granted me space at his eponymous blog and Substack to opine on American naval shipbuilding. https://t.co/rYaRAHmcff Care for a taste? "The United States is at this moment, building several classes of ships that are the envy of the world..."
— Bryan McGrath (@ConsWahoo) Aug 15, 2022
Ok, so I am not an expert in #Dalle prompt engineering, but I tried creating a teaser image for a CV/ML paper. Left: what I got out of Dalle. Right: the actual teaser we used in our recent paper (https://t.co/9dG8iT7Siq). 1/6 https://t.co/ss7zKldEFk
— Christian Wolf (@chriswolfvision) Aug 14, 2022
https://t.co/IEvT4aKe1Q
— Gopi Vikranth (@GopiVikranth) Aug 14, 2022
👋 POST: Status traps and "universal basic status" in social networks. Modeling social networks with economic tools lets us see how social networks struggle with high status inequality and pose challenges for newcomers. This was a fun one to write. 👉:https://t.co/ChDqwZWoPH
— Sriram Krishnan - sriramk.eth (@sriramk) Aug 14, 2022
Automate Time Series Feature Engineering in a few lines of Python Code by @aigeek7 https://t.co/cNSmnARhdK
— Towards Data Science (@TDataScience) Aug 14, 2022
This is truly incredible news. https://t.co/hAZ5Oc5tvR
— Mike Brock (@brockm) Aug 14, 2022
My latest deep-dive is now out. Here's $AMD: Eating the Competition's Lunch, One Chip at a Time. If you like this research, a like & RT helps me out a ton! https://t.co/EbPQ4oK36y
— MT Capital (@MT_Capital1) Aug 13, 2022
A visualization of different sorting algorithms https://t.co/OSOiSD8hXe
— Fermat's Library (@fermatslibrary) Aug 13, 2022
Jack Ma introduces Alibaba to 17 people in his apartment in 1999. https://t.co/rZBFpE6AY3
— Vala Afshar (@ValaAfshar) Aug 13, 2022
Brand Loyalty is Declining for Most Luxury Automakers 📊 https://t.co/iAMBrQLfLs https://t.co/Pcbpy5ShTs
— Visual Capitalist (@VisualCap) Aug 12, 2022
Amazon Research unveiled AlexaTM. It's a 20 billion parameter model that achieves state-of-the-art performance in several few-shot learning language benchmarks! The model was inspired by @OpenAI GPT-3. https://t.co/UNicF54BK9
— TheSequence (@TheSequenceAI) Aug 12, 2022
Just hit 2 million users at https://t.co/3MbLWEzu88🚀
— Paul Yacoubian (@PaulYacoubian) Aug 12, 2022
Sources: before iOS privacy changes, Apple and Facebook discussed ways to share revenue, like an ad-free, paid version of Facebook and IAP for "boosted posts" (@sal19 / Wall Street Journal) https://t.co/jkVNACUTkI https://t.co/3wXiShAeCR
— Techmeme (@Techmeme) Aug 12, 2022
SCOOP: In the years before iOS 14.5, Apple and Facebook held several meetings discussing possible arrangements that would have earned the iPhone maker a slice of the social media company’s revenue, including an ad-free, subscription version of Facebook https://t.co/Uy3WWUJrRq
— Sal Rodriguez 🕷 (@sal19) Aug 12, 2022
A review of The Network State by @William_Blake. "...a frontier is reopening...due to advances in technology, we are about to see the number of new sovereign entities multiply." https://t.co/zuILLu6ylq
— Balaji Srinivasan (@balajis) Aug 12, 2022
Walt Disney Co. just surpassed Netflix in total streaming subs (221.1m vs. 220.7m). And it did so in less than 3 years since launching Disney+. How? By combining great content with a technology it acquired from the MLB (yes, Major League Baseball) for $2.6B. Here’s the story🧵 https://t.co/t7gdZ8W1wR
— Trung Phan (@TrungTPhan) Aug 11, 2022
Someone just reminded me of this chart, that went massively viral in early 2020. Compare with reality. This data is published every quarter. It's not hard to check. https://t.co/0nHt1hwafj
— Benedict Evans (@benedictevans) Aug 11, 2022
A free version of GPT-3: https://t.co/nBnVntfrSy
— Pedro Domingos (@pmddomingos) Aug 11, 2022
How Much Prime Real Estate Could You Buy for $1 Million? 🏡 https://t.co/7e8xD4LujD https://t.co/MA4GTDPaj4
— Visual Capitalist (@VisualCap) Aug 10, 2022
Yesterday @nnaisense released EvoTorch (https://t.co/XAXLH9SDxn), a state-of-the-art evolutionary algorithm library built on @PyTorch, with GPU-acceleration and easy training on huge compute clusters using @raydistributed. (1/2)
— Jürgen Schmidhuber (@SchmidhuberAI) Aug 10, 2022
Docker cheat sheet #MachineLearning #DataScience #SQL #Cybersecurity #BigData #Analytics #AI #IIoT #Python #RStats #TensorFlow #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode #NodeJS #golang #NLP #GitHub #IoT #Blockchain https://t.co/anCuH60aLd
— Tanjila #Smm (@Tanjilasmm) Aug 9, 2022
@danielgothits 1) I'm writing a v2. That'll be released as hardcover (and Audible). You can subscribe to be notified when it's out: https://t.co/wxltrPVZ7M 2) Meanwhile, we've released a full PDF on the site, which you can print out if you want: https://t.co/6l86qzb3sS
— Balaji Srinivasan (@balajis) Aug 9, 2022
Neural networks that lack a property called robustness might see a gerbil when it was trained to spot a giraffe. Researchers have shown that neural networks gain robustness as they increase in scale. https://t.co/zmn8HOGHPr
— Quanta Magazine (@QuantaMagazine) Aug 8, 2022
Geometric deep learning has been making a splash recently. To ease your way into the conversation, read @jasonmcewen's accessible introduction to this buzzing subfield. https://t.co/mprOvMgwYO
— Towards Data Science (@TDataScience) Aug 8, 2022
What if all papers were on chain? So anyone could see not just the PDF for free, but the data & code too? So that citations became function calls, and anyone could replicate any result? @manveerbasra_ put together a v0 of what that could look like at https://t.co/qFA7km1AvF. https://t.co/uaDSTsmv6R https://t.co/JbROH9W9VD
— Balaji Srinivasan (@balajis) Aug 8, 2022
Most companies vastly underinvest in “owned” & “earned” and rationalize the hell out of unlimited scaling of “paid.” Love to measure investment in owned+earned as a % of paid budget. The really great ones only do owned & earned and set paid to zero. https://t.co/NAMGvX5L3u
— Bill Gurley (@bgurley) Aug 7, 2022
"Forty years ago, Walmart pissing off P&G would be a risky situation. Now, Walmart is much bigger than P&G," "Private brands often carry profit margins that are 20% to 40% higher than national brands" https://t.co/gsRugqNp5V
— Tren Griffin (@trengriffin) Aug 7, 2022
ML Research of this week: 1. @GoogleAI Multi-Domain Neural Architecture Search 2. @AmazonScience AlexaTM 3. @MetaAI ViTDet 4. @GoogleAI Enhancing Backpropagation Read more here: https://t.co/zJRNl1DBCq https://t.co/2Zjk1srpXQ
— TheSequence (@TheSequenceAI) Aug 7, 2022
5 self-supervised learning models, you should know about: 1. Wav2vec 2. BYOL 3. XLM-R 4. AVID 5. SEER Find links and descriptions here: https://t.co/dMemWhx2Y2 https://t.co/MhVC3SebBV
— TheSequence (@TheSequenceAI) Aug 7, 2022
If you feel like tinkering with BLOOM, the new (and massive) open-source language model, @ArteagaCrist just shared a helpful guide for anyone who'd like to run it on their desktop. https://t.co/KjvnMXs1zr
— Towards Data Science (@TDataScience) Aug 7, 2022
Good morning to everyone, especially the Facebook https://t.co/EkwTpff9OI researchers who are going to have to rein in their Facebook-hating, election denying chatbot today https://t.co/wMRBTkzlyD
— Jeff Horwitz (@JeffHorwitz) Aug 7, 2022
Known as “Xenobots,” these tiny millimeter-wide biological machines now have the ability to reproduce. https://t.co/WAmNACU5RP
— Futurism (@futurism) Aug 6, 2022
@PrefShares AMAZON 1997: https://t.co/YENtcz09gu Berkshire: https://t.co/Zc4bAUGdXL Munger: https://t.co/WdjJI6g3WW Sleep: https://t.co/S3knHfmMfR Baupost: https://t.co/LSqTI7nstx Constellation: https://t.co/fL9JmKdHth Peter Lynch's 1987 letter: https://t.co/d9XoYRTDJG
— Tren Griffin (@trengriffin) Aug 6, 2022
A case study should be written on $DDOG (Datadog) execution in APM from GA to best of breed in 5 years!! The below marked up magic quadrant is from @hhhypergrowth excellent premium newsletter Highly recommend subbing for those who closely watch software infra The dog 👀 https://t.co/4gDDURhNzN
— Shomik Ghosh 🇺🇦 (@shomikghosh21) Aug 6, 2022
The permanence of a phenomenon called gravitational memory suggests the presence of hidden symmetries in the structure of space-time. Within the past decade, physicists have explicitly made this connection. https://t.co/KYgD553TQV
— Quanta Magazine (@QuantaMagazine) Aug 5, 2022
The rise of hyperrealistic fake voices isn’t consequence-free. Human voice actors, in particular, have been left to wonder what this means for their livelihoods. https://t.co/wI47ya4qkr
— MIT Technology Review (@techreview) Aug 5, 2022
PART ONE: SHE HAS THE *RANGE* @Midjourney perhaps has a reputation for creating amazing but very AI-y images like these. Super awesome, but with the v3 model, MJ is capable of so much more... https://t.co/hmsgwUKXmF
— Guy Parsons (@GuyP) Aug 5, 2022
Theory vs. Practice. https://t.co/n1lsGnWs7u
— Universal Curiosity (@UniverCurious) Aug 4, 2022
Ranked: The 100 Biggest Companies in the World in 2021 💪 https://t.co/haKidUMfBg https://t.co/eDloeZ3pXL
— Visual Capitalist (@VisualCap) Aug 4, 2022
Here's 50-ish words the tech giants use to show that they care about responsible AI without incriminating themselves. Consider this a guide to decoding their public-relations vocabulary and challenging the assumptions and values baked in. https://t.co/xsNKjsj9Ue
— MIT Technology Review (@techreview) Aug 2, 2022
@TechCrunch broke the news! Meet Sprig Concept & Usability testing to easily test ideas, designs, & prototypes before building We’re also proud to share that we raised $30M in new funding by @a16z @accel @firstround @eladgil @figmaventures Read more here https://t.co/nMEyj8bgOO
— Sprig (@Sprig) Aug 2, 2022
The $100 Trillion Global Economy in One Chart 🌎 https://t.co/EuRnumiaSc https://t.co/2YdMOl2pF1
— Visual Capitalist (@VisualCap) Aug 2, 2022
We are excited to announce our investment in IDRx, which is aiming to transform cancer care through intelligently designed combination therapies. Read more from General Partner @JorgeCondeBio https://t.co/tHTSgovSTE
— a16z (@a16z) Aug 2, 2022
@jayhancock1 Some great background to this weapon and it's after effects https://t.co/8O85csfwd8
— Simon Crowther (@CrowtherSi) Aug 2, 2022
The Fortunato-Newman Nature Physics Comment "20 years of network community detection" is now publicly available on the arxiv: https://t.co/dMvnnZ40Jv. Enjoy!
— Santo Fortunato (@santo_fortunato) Aug 2, 2022
This is some incredible reading for all you investing junkies! 181 pages of Peter Lynch's investing articles for Worth Magazine from 1993-1999 https://t.co/vMY0nzeUkw https://t.co/SF4LrDoCzj
— Andrew Kuhn (@FocusedCompound) Aug 1, 2022
“I fork Ethereum once, I will fork it again.” https://t.co/c8rV4KOv1B
— Amy Castor (@ahcastor) Aug 1, 2022
In my second post on the War Economy, I give some rough comparisons to show the sheer scale of the challenge posed by China and Russia: https://t.co/vmPuMEh5d0
— Noah Smith 🐇🇺🇦 (@Noahpinion) Aug 1, 2022
