Nord – An Arctic, north-bluish color palette https://t.co/NcR6RmOSCd (https://t.co/IAN48yS1oE)
— Hacker News 200 (@newsyc200) Oct 31, 2022
from Twitter https://twitter.com/newsyc200
October 31, 2022 at 09:48AM
via IFTTT
Nord – An Arctic, north-bluish color palette https://t.co/NcR6RmOSCd (https://t.co/IAN48yS1oE)
— Hacker News 200 (@newsyc200) Oct 31, 2022
Capture with #LumaAI ↓ Edit in #Blender ↓ Auto Rigging with #Mixamo https://t.co/RC6yCSM9J3
— MATSUZAKI (@marvo737) Oct 31, 2022
Interesting visual of Big Tech’s massive acquisition spree since inception [@washingtonpost]: $AAPL $AMZN $GOOG $META https://t.co/jTeKhauoOb
— Quartr (@Quartr_App) Oct 30, 2022
https://t.co/6I5Z2nwd5y
— Gopi Vikranth (@GopiVikranth) Oct 30, 2022
New in Hardcore Software 104. //build It and They Will Come (Hopefully) https://t.co/Azi3XGaHYl Through 2011 the team worked hard to build the all new Windows 8 platform. First ever //build conf. unveiled the platform. Reviews/reception of the platform might prove surprising! 1/
— Steven Sinofsky (@stevesi) Oct 30, 2022
1/ Amazon has correctly focused on the performance and cost of the ground terminal in designing Kuiper. In this interview Amazon's SVP responsible for Kuiper points out that the number of ground terminals is vastly more than the number of satellites. https://t.co/lqpQyrBQcP https://t.co/oMWqsiKt2Z
— Tren Griffin (@trengriffin) Oct 30, 2022
"As we work towards the goal of building artificial general intelligence (AGI), developing robust and effective benchmarks that expand AI models’ capabilities is as important as developing the models themselves." https://t.co/Uu3aGERGyB
— Tren Griffin (@trengriffin) Oct 29, 2022
🤯 OMG Img-To-Music demo just jumped over @runwayml's StableDiffusion 1.5 one in the @huggingface trending demos panel 🔥 — 🤗https://t.co/mEEcB5AqjG https://t.co/7pqpbUauvI
— Sylvain Filoni (@fffiloni) Oct 29, 2022
A book excerpt details Netflix's shift from DVDs and tensions with HBO, which took a hard line on streaming rights, leading Netflix to make its own content (Bloomberg) https://t.co/TIee1cpWzr https://t.co/iJfMLBdK5K
— Techmeme (@Techmeme) Oct 29, 2022
75M baby boomers will retire by 2030. 8 tools for finding and buying their businesses (before someone else does):
— Codie Sanchez (@Codie_Sanchez) Oct 29, 2022
Choose your fighter $AAPL $MSFT $GOOG $AMZN https://t.co/xuFb79NbMy
— App Economy Insights (@EconomyApp) Oct 28, 2022
No, this not one of those threads. Stop encouraging such empty threads. They are spoiling Twitter. Go read the full story. It's worth your time! https://t.co/VgjXe3ZpHQ
— Subrahmanyam KVJ (@SuB8u) Oct 27, 2022
Gradio 3.7 is out! Everything that is new in 3.7 🔽 1. Gradio now supports *batched* function. You can specify a batch size and Gradio will automatically batch incoming requests so that your demo runs on a lot faster on Spaces! https://t.co/bUE5nSFlEE
— Gradio (@Gradio) Oct 27, 2022
Amos is a new optimizer that we propose to pre-train large language models. It is more efficient and converges faster than AdamW: ≤ 51% memory for slot variables, and better valid loss within ≤ 70% training time! New from Google Research. Preprint: https://t.co/HjNAZQsyM9 https://t.co/Q1MCjB9jay
— Ran TIAN (@Robin_Tian) Oct 26, 2022
New Dreambooth method, train under 10 minutes without class images on multiple subjects github: https://t.co/QO7UFwqXjf colab: https://t.co/wIitnNdenM reddit thread: https://t.co/gJlHikAt79 https://t.co/7xKLtkzYza
— AK (@_akhaliq) Oct 26, 2022
You can have a magnificent body with these exercises that you will do regularly 👇🏻🔥 https://t.co/BdDsMALS8A
— How Things Are Manufactured (@fastworkers6) Oct 25, 2022
10 Philosophy Books That Everyone Should Read 1) https://t.co/mC7zWU3Dma
— Library Mindset (@librarymindset) Oct 24, 2022
Apparently, I appeared in @Forbes. 😅 Article: https://t.co/9XisQmBqRx It's a summary of the podcasts I had with @cccalum and @dw2! Next year is going to be 🚀!!! :))
— Aleksa Gordić (@gordic_aleksa) Oct 23, 2022
i spent the last month diving into the world of art and datasets, talking to artists whose work is included in the dataset behind stable diffusion. it's fascinating, and complicated, and i learned a lot. (short thread) https://t.co/KLb33jFK52
— Rachel Metz (@rachelmetz) Oct 21, 2022
Unity CEO John Riccitiello describes the realities—and distractions—of the metaverse https://t.co/pydPEUPLiY
— Matthew Ball (@ballmatthew) Oct 21, 2022
In 1993, AT&T predicted smartwatches, tablets, video on demand, e-books, videoconferencing, home automation, voice assistants, web mapping, POS terminals, self-service kiosks, distance learning, translation software and digital tolls. https://t.co/Jws7kWW0e0
— Jon Erlichman (@JonErlichman) Oct 21, 2022
"Scaling Laws for a Multi-Agent Reinforcement Learning Model" Do log-log scaling laws show up for reinforcement learning like they do for language modeling? [1/6] https://t.co/AQSktYoMZt
— Davis Blalock (@davisblalock) Oct 20, 2022
1/ Is the Creator Economy dead? The tools which promised to help creators achieve economic independence haven't lived up to the hype. I wrote about this, & what I believe to be a *much* bigger + more optimistic opportunity: The Creativity Supply Chain. https://t.co/eQ4MWdVpZ8
— Michael Mignano (@mignano) Oct 19, 2022
It's not just Stable Diffusion that has been getting a lot of attention lately. The whole generative AI landscape is blooming. @sequoia has come up with a handy little visualization to help us keep track of some of the most exciting players. 1/2 https://t.co/2yZMM6VLuy
— Bojan Tunguz (@tunguz) Oct 19, 2022
Imagic Stable Diffusion training in 11 GB VRAM with diffusers and colab link. https://t.co/SYjaRJXcUq
— /MachineLearning (@slashML) Oct 19, 2022
This Anime Does Not Exist 🌚 And several hours before the intro didn't exist either — praise to AI animation! Strong generative image model is all you need (and my algorithm for 3D animation). Still testing its capabilities — now less jittering and blur. Would you watch this? https://t.co/aQIzTDZZpR
— Dmitrii Tochilkin (@cut_pow) Oct 18, 2022
📢 MosaicML Cloud is now available for early access! Create advanced AI models faster and cheaper than you thought possible. https://t.co/L4HaHriIQX
— MosaicML (@MosaicML) Oct 18, 2022
A fun split-brain moment is sitting at the back of the @StableDiffusion launch party in SF, while writing up the 'GitHub Copilot investigation' potential legal case for Import AI (https://t.co/TBQoij2o7v), after having written about the $101m raise for Stability.
— Jack Clark (@jackclarkSF) Oct 18, 2022
Graph Neural Networks for related products recommendations by @AmazonScience https://t.co/n1ituqYUvi
— Xavier Amatriain (@xamat) Oct 17, 2022
1./ On October 7th, the U.S. Department of Commerce implemented new export controls on semi manufacturing to China... Here's the full document: https://t.co/D9BKbYYHVu
— Larry Cheung, CFA (@LarryCheungCFA) Oct 16, 2022
70 Best Free Online Courses for Machine Learning & AI in 2022. #ArtificialIntelligence #AI #ML #MachineLearning #python #Robotics #DataScience #IoT #deeplearning #CyberSec #Coding #java #django #TensorFlow #100DaysOfCode #Tech #programming https://t.co/DD9UP6do5S
— Catherine Adenle (@CatherineAdenle) Oct 16, 2022
https://t.co/pAzEqTm22e
— Gopi Vikranth (@GopiVikranth) Oct 16, 2022
Series of exercises you can do at home... https://t.co/qxEENsQtAb
— How Things Are Manufactured (@fastworkers6) Oct 16, 2022
ML Research of this week: 1. @DeepMind AI Model Perception 2. @SFResearch Meta-Learning and Time Series 3. @AmazonScience GNNs for Product Recommendation Let's discuss⬇️ https://t.co/gaJLliGHvJ
— TheSequence (@TheSequenceAI) Oct 16, 2022
Top Artificial Intelligence (AI) Books to Read in 2022-2023 https://t.co/mT99He1tDp #AI #ML #DataScience #MachineLearning
— Mike Tamir, PhD (@MikeTamir) Oct 15, 2022
[Free 689-page PDF Download eBook] Introduction to #Probability for Data Science: https://t.co/L51j3uevUR by @stanley_h_chan ————— #StatisticalLiteracy #Mathematics #AI #BigData #MachineLearning #DataScience #DataScientists #DataLiteracy #Statistics https://t.co/8ULQDe9ycH
— Kirk Borne (@KirkDBorne) Oct 15, 2022
2. NLP with Deep Learning by @chrmanning, founder @stanfordnlp In this course, students gain a thorough introduction to cutting-edge neural networks for NLP. Link: https://t.co/KbiC13IFkk
— TheSequence (@TheSequenceAI) Oct 15, 2022
We're nearing 400 public and open-source diffuser models on the hub already, so exciting! Including the mighty and popular Stable Diffusion by Compvis, @runwayml & @StabilityAI, Japanese SD by @rinna, Pokemon diffusers by @LambdaLabs and more! https://t.co/uJyPcM674R https://t.co/o7s9cbToTr https://t.co/eT3X1fp5Ul
— clem 🤗 (@ClementDelangue) Oct 14, 2022
LVMH is a great example of a quality company. You can find an overview of the conglomerate here: https://t.co/PLbnf1pURw
— Compounding Quality (@QCompounding) Oct 14, 2022
stable-diffusion-studio: An animation focused workflow frontend for Stable Diffusion github: https://t.co/7YFbz7xB26 https://t.co/CDVa4Ycq7H
— AK (@_akhaliq) Oct 14, 2022
I caught up with Jörg Burzer @MercedesBenz to discuss how the auto giant is overcoming supply chain constraints with the cloud and boosting efficiency, resilience, and sustainability in the process. https://t.co/eHLJ7yjK1I
— Judson Althoff (@judsonalthoff) Oct 13, 2022
LAION-5B: An open large-scale dataset for training next generation image-text models https://t.co/scGZcARZcp
— /MachineLearning (@slashML) Oct 13, 2022
With Microsoft, @MercedesBenz is merging the physical and digital worlds in the industrial metaverse. They’re refining their production processes in the Microsoft Cloud, driving 20% efficiency gains by 2025 while reducing their environmental impact. https://t.co/D7cWy4blUY
— Judson Althoff (@judsonalthoff) Oct 12, 2022
Lot more in there so I'll stop and recommend @stratechery ! https://t.co/xbtoXi4hwQ
— Matthew Ball (@ballmatthew) Oct 12, 2022
#2 - Zuckerberg: There are "two logical zones" to target to "build out the MR" platform: $300-500 devices and $1500-2000 powerful enterprise workstations. They will eventually standardize
— Matthew Ball (@ballmatthew) Oct 12, 2022
Some highlights from @Stratechery's great Metaverse interview with both Satya Nadella and Mark Zuckerberg #1 - Nadella: Don't think of the Metaverse as excluding or substituting other devices, access models, or 2D interfaces https://t.co/xbtoXi4hwQ https://t.co/m9v6KLa7tR
— Matthew Ball (@ballmatthew) Oct 12, 2022
Whisper, @OpenAI's most recent automatic speech recognition model has been released in 🤗 transformers for @TensorFlow and is XLA compatible 🏎️💨 Run it in under 10 lines! https://t.co/5CBZiHS6UR
— amy (@a_e_roberts) Oct 11, 2022
The 10 Principles of Nike: https://t.co/8uDyy1VwuY
— David Senra (@FoundersPodcast) Oct 11, 2022
Last week, DeepMind surprised us with its new cutting-edge research that can discover novel algorithms. DeepMind unveiled the first AI system that can change the way of finding the fastest algorithms. Let's dive into it. 1/4 https://t.co/iMsejNt1Of
— TheSequence (@TheSequenceAI) Oct 11, 2022
Join us @__MLT__ on Thursday for Transformers with @giffmana 🧠 https://t.co/8AxcfuccpJ
— Suzana Ilić (@suzatweet) Oct 11, 2022
🪩The @stateofaireport 2022 is live!🪩 In its 5th year, the #stateofai report condenses what you *need* to know in AI research, industry, safety, and politics. This open-access report is our contribution to the AI ecosystem. Here's my director's cut 🧵: https://t.co/QtkXZcQpJj
— Nathan Benaich (@nathanbenaich) Oct 11, 2022
Blog Post: NovelAI Improvements on Stable Diffusion A very technical new blog post detailing some of our architecture and training developments made during the creation of our #NovelAIDiffusion Image Generation. https://t.co/RlCfR63UVR
— NovelAI (@novelaiofficial) Oct 10, 2022
The supply of disinformation will soon be infinite, which will cause people to treat *all* information as disinformation, *unless* it comes with a traceable origin to a reliable and/or trusted source. There are techs and standards to be deployed for this. https://t.co/e0hPXkfOwp
— Yann LeCun (@ylecun) Oct 9, 2022
Matrix Multiplication as Tensor Decomposition - A blog on the DeepMind paper https://t.co/lXprrHixqK
— /MachineLearning (@slashML) Oct 9, 2022
"Your time is limited, so don’t waste it living someone else’s life. Don’t be trapped by dogma - which is living with the results of other people’s thinking. Don’t let the noise of others’ opinions drown out your own inner voice." — Steve Jobs
— Steve Jobs Stories (@SJobs_Stories) Oct 8, 2022
Catch up this weekend: Cofounder and General Partner @pmarca shares what he’s been up to and his latest reads.👇https://t.co/o1Kdr0TqFW
— a16z (@a16z) Oct 8, 2022
1/ Netflix How Netflix Uses Data Science and Machine Learning? https://t.co/WWF9Fbbdif
— Sumanth (@Sumanth_077) Oct 8, 2022
A free book for you! The Data Science Handbook comprises in-depth interviews with 25 data scientists. The book was created by @wzchen, Carl Shan, Henry Wang, and Max Song. You can pay for the ebook or download it for free: https://t.co/AX3HXBOgtg https://t.co/jl5TlG60Tz
— TheSequence (@TheSequenceAI) Oct 7, 2022
Great bootcamp on classical consensus protocols (for Byzantine agreement, Byzantine broadcast, and state machine replication) from the @a16zcrypto research summer seminar series, in @AndrewLewisPye2's classic conversational (yet somehow completely rigorous) style. https://t.co/k2GswXhwkm
— Tim Roughgarden (@Tim_Roughgarden) Oct 7, 2022
Generative AI in 2022 https://t.co/3f78UOqbv5
— hardmaru (@hardmaru) Oct 7, 2022
Ok, so 9 months in we got - DALL•E 2 [6 Apr 2022] - Imagen [23 May 2022] - Stable Diffusion [22 Aug 2022] - Make-A-Video [29 Sep 2022] - Imagen-video [6 Oct 2022] Anything missing? https://t.co/GAxFfP117A
— Sebastian Raschka (@rasbt) Oct 7, 2022
Two important breakthroughs from @GoogleAI this week - Imagen Video, a new text-conditioned video diffusion model that generates 1280x768 24fps HD video. And Phenaki, a model which generates long coherent videos for a sequence of text prompts. https://t.co/nTs67r21Sf https://t.co/sOf5clkB3V
— Sundar Pichai (@sundarpichai) Oct 6, 2022
We’re entering a new era 1980s: Mass Media (MM)📺 2000s: User-Generated Content (UGC)📱 2020s: AI Generated Content (AIGC)🤖 MM—>UGC was an explosion in content & virality emerged UGC—>AIGC will be a similar explosion & *individualization* to audiences of one will emerge
— Alexandr Wang (@alexandr_wang) Oct 6, 2022
"You’ve got to start with the customer experience and work back to the technology — not the other way around. I’ve probably made this mistake more than anybody, and I’ve got the scar tissue to prove it." -Steve Jobs
— Brian Chesky (@bchesky) Oct 6, 2022
As the AI content generation space grows & tools proliferate, it's important to learn as much as you can about the models that underly the explosion of new apps. Part 2 of my series has you covered with dives into GPT-3, StableDiffusion, & DALL-E 2. https://t.co/SPkLzmYLwp
— jonstokes.(eth|com) (@jonst0kes) Oct 6, 2022
I'm doing live demos to collect early feedback before we begin the release. Starting next week. If you are interested, sign up here: https://t.co/44himOs51y https://t.co/AWA4iJl6RS
— Cristóbal Valenzuela (@c_valenzuelab) Oct 6, 2022
DeepMind’s gaming AI discovers faster matrix multiplication algorithms, breaking a 50 year record: https://t.co/lihCgx9cgX @DeepMind @techreview https://t.co/hlPuGSkvzH
— MIT CSAIL (@MIT_CSAIL) Oct 5, 2022
https://t.co/vmoBBh1234
— dadabots (@dadabots) Oct 5, 2022
Text-to-video is getting more refined at a fast pace. Impressive results! https://t.co/9qAGAe56HZ
— François Chollet (@fchollet) Oct 5, 2022
Since 1969 Strassen’s algorithm has famously stood as the fastest way to multiply 2 matrices - but with #AlphaTensor we’ve found a new algorithm that’s faster, with potential to improve efficiency by 10-20% across trillions of calculations per day! https://t.co/nLvFbEDBuO
— Demis Hassabis (@demishassabis) Oct 5, 2022
After 6 years at DeepMind I'm hard to impress, but this one got an audible gasp out of me. Learning exact MatMul algorithms with AZ-like methods that rediscover Strassen and outperform(!) for larger matrices https://t.co/F3uyqwqsLd
— David Budden (@davidmbudden) Oct 5, 2022
Nice to see @Google, @Amazon, @Microsoft, @Meta, @Apple, and @uiuc all collaborating to improve speech recognition for those with diseases that affect speech such as ALS, Parkinson's, cerebral palsy, Down syndrome and other diseases. https://t.co/e5kSKLRwpI
— Jeff Dean (@🏡) (@JeffDean) Oct 5, 2022
Nice article at Vice that give the gist of my recent proposal for autnomous AI architectures. It derives from my collquium talk at UC Berkeley last week. https://t.co/VspECDDWDW
— Yann LeCun (@ylecun) Oct 4, 2022
i don’t know why anyone, including myself; spends any time working on ML when everything was invented early 90s. https://t.co/FWcINSSL98
— Kyunghyun Cho (@kchonyc) Oct 4, 2022
If you want to generate animations like this in under 1 min -- here's a minimal Colab: https://t.co/1Pg52dyjcB https://t.co/4uVWTj18DF https://t.co/RunanJI10q
— François Chollet (@fchollet) Oct 3, 2022
Free book on Statistics! Introduction to Modern Statistics covers: 1. Exploratory data analysis 2. Regression modeling 3. Statistical inference Read here: https://t.co/ZrDGYzmv95 https://t.co/8dzMj3hEzG
— TheSequence (@TheSequenceAI) Oct 3, 2022
Open Source is accelerating AI: Aug 26: @natanielruizg announces Dreambooth Sep 7: @XavierXiao releases StableDiffusion port, but requires 48GB VRAM Sept 25: @CorridorDigital video 24GB Sept 26: @ShivamShrirao reduces it to 18GB Sep 27: 12.5GB Oct 1: 11GB Today: 10GB OSS > APIs
— swyx 🌴 (@swyx) Oct 2, 2022
How a Stable Diffusion prompt changes its output for the style of 1500 artists https://t.co/oauFQzNGs6 (https://t.co/UTtDM5RvEj)
— Hacker News 200 (@newsyc200) Oct 2, 2022
https://t.co/5bhu6mxAhp
— Gopi Vikranth (@GopiVikranth) Oct 2, 2022
Palantir Had Secret Plan to Crack UK’s NHS: ‘Buying Our Way In’ https://t.co/GckdzQVzfQ (https://t.co/M4wsrkIVtu)
— Hacker News 200 (@newsyc200) Oct 2, 2022
The internet was built to survive a nuclear attack. https://t.co/WwUdgW0Mc8 https://t.co/hAGl7BxcPB
— Balaji Srinivasan (@balajis) Oct 2, 2022
TikTok tracks you across the web, even if you don’t use the app https://t.co/nIZKqwoghd (https://t.co/d5Bfjz7dRy)
— Hacker News 200 (@newsyc200) Oct 2, 2022
Text to Video with Stable Diffusion https://t.co/BGJAJc4y4W
— /MachineLearning (@slashML) Oct 1, 2022
The @Tesla AI day talk is a must-watch, especially for folks interested in computer vision. I am impressed by the occupancy network, but the lane detection net blew my mind. What a clever way to use Transformers! They created a vocab to represent lanes🤯 https://t.co/LooIZeellP
— Ayush Thakur (@ayushthakur0) Oct 1, 2022