We created an infographic explaining the complex dynamics of the payments ecosystem, showing how key players like $V, $MA, $FISV, and $ADYEN: https://t.co/qduKdC5cO9
— Quartr (@Quartr_App) Jan 30, 2023
Here is an experiment: using ChatGPT to emulate a Jupyter notebook. You can even get it to run GPT inside ChatGPT. And you can also train neural networks from scratch inside ChatGPT.🤯 Here's walkthrough of how it works. https://t.co/gQ9MkXdzJY
— Volodymyr Kuleshov 🇺🇦 (@volokuleshov) Jan 30, 2023
Quite the productive weekend! Lots of new content added to Machine Learning Q and AI: https://t.co/2hcrhcftJ7 Q21. Stateless vs Stateful Training Q27. Proper Metrics Q30. Limited Labeled Data https://t.co/kvMcou3oyd
— Sebastian Raschka (@rasbt) Jan 29, 2023
If you use GitHub Copilot you'll probably find this blog post incredibly interesting: https://t.co/z73rr2sYMg He basically reverse-engineered the vscode plugin and figured out how it works behind the scenes. Details such as heuristics behind prompt construction... 1/
— Aleksa Gordić 🍿🤖 (@gordic_aleksa) Jan 28, 2023
Again, it's mad that in Europe 50% of the most active deep tech investors aren't even VCs. It's the government. And even the VCs who are most active are largely backed by the government. To investors in the US, this is just so strange. https://t.co/WxrSlj9Ac2
— Nathan Benaich (@nathanbenaich) Jan 28, 2023
INTRIGUED 🤔 Why .. o why is Buffett/Munger (Berkshire) for the last 3 Q's straight been adding to @paramountplus $PARA, they now own 15% of the company Is it because ... 1/14 🧵
— Charlie Munger Fans (@CharlieMunger00) Jan 27, 2023
Did you miss luxury behemoth $LVMH's Q4 2022 earnings call yesterday? Don't worry, we have compiled the 10 most essential parts in this thread 🧵 1. Arnault tells the story of a friend who was skeptical when he wanted to acquire Louis Vuitton in 1989: https://t.co/qN5RyfLxGx
— Quartr (@Quartr_App) Jan 27, 2023
An Illustrated Guide To Making Every Type Of Coffee https://t.co/jkB4qhcyuC
— ᴀʀᴛ ᴏꜰ ᴘʜʏꜱɪQᴜᴇ (@Artofphysique_) Jan 27, 2023
Best Full Body at Home Workout. Just 10 Minutes 1. Jumping Jacks https://t.co/6krPoDb5nQ
— Cardio Arena (@CadioArena) Jan 27, 2023
These 15 CIA-funded startups are revolutionizing our lives. From sophisticated AI systems to sustainable technologies, these startups are making our life easier than ever before 👇
— Val Katayev (@ValKatayev) Jan 26, 2023
How to find great companies: -Revenue growth > 5% -Profit growth > 7% -FCF / earnings > 80% -ROIC > 15% -Net debt / FCFF < 5 -Debt/equity < 80% Tomorrow we'll publish an article with 15 companies which match these criteria: https://t.co/9eZK769nPU https://t.co/CdIayjiOCo
— Compounding Quality (@QCompounding) Jan 25, 2023
Wrote about where things are at with Generative AI for audio and video and what the future might hold. https://t.co/1VKGOI7FTe
— Tanay Jaipuria (@tanayj) Jan 25, 2023
Everyone should read this book, it's (unironically) fantastic: https://t.co/Qpwtp4DElW https://t.co/s28aWQravB
— Marc Andreessen (@pmarca) Jan 24, 2023
Lots of AI art editing tools out there, but @playground_ai crushes it with UX/UI. "Giver her a suit and tie" was the only prompt for this edit. Style match was near perfect; didn't compromise the rest of the image. Free to use ↓ https://t.co/0waLEHd3d6 Nice work @Suhail https://t.co/xULHqMdXUz
— AI Breakfast (@AiBreakfast) Jan 24, 2023
@sammskiii @rrhoover and @vedikaja_in aggregated a bunch for signature block that i used for my fund deck - https://t.co/yKVXABknRb. highly recommend!!!
— Maya Bakhai (is hiring robinhood & snapchat devs) (@MayaBakhai) Jan 23, 2023
“Today, we are announcing the third phase of our long-term partnership with OpenAI through a multiyear, multibillion dollar investment to accelerate AI breakthroughs to ensure these benefits are broadly shared with the world.” https://t.co/7nUe8UbWzm
— Adam.GPT (@TheRealAdamG) Jan 23, 2023
https://t.co/AU2839KbSU
— Gopi Vikranth (@GopiVikranth) Jan 22, 2023
🤖 Generative AI founders, funders and friends: @ollieforsyth at @antlerglobal put together a startup landscape for us! https://t.co/HeN8dLBdYz https://t.co/N1SuXRDETx
— Lolita Taub (@lolitataub) Jan 21, 2023
AI will disappear the middleware developer, will supercharge the lowlevel dev, and will create a lot more product devs. https://t.co/4UbypLxlha
— Amjad Masad ⠕ (@amasad) Jan 21, 2023
The future for AI-first products is gonna be so damn cool. Bring the band back! 🥁 Google Calls In Help From Larry Page and Sergey Brin for A.I. Fight https://t.co/lEhRfMDAGz
— Nathan Benaich (@nathanbenaich) Jan 21, 2023
A conversational UI for image editing is coming: https://t.co/WiV6kqAFG1 https://t.co/mc7hiMS2Z1
— Nat Friedman (@natfriedman) Jan 21, 2023
NRC Certifies First U.S. Small Modular Reactor Design https://t.co/l0QI70pGMt (https://t.co/eprWSgX7hx)
— Hacker News 200 (@newsyc200) Jan 20, 2023
Having AI tools like ChatGPT is like having a personal software engineer in your pocket. But most people don't know how to craft prompts for code. Here's how you can get AI to write software for you: https://t.co/UJhd4mtmyi
— Replit ⠕ (@Replit) Jan 20, 2023
A must read. Especially if you enjoyed BUILD - The Messy Middle by @scottbelsky. https://t.co/u56TdylJlR
— Tony Fadell (@tfadell) Jan 20, 2023
Anthropic built their own version of ChatGPT called Claude. It's better than ChatGPT in a few surprising ways. Claude is currently in private beta but here's what people have shared about it so far:
— bleedingedge.ai (@bleedingedgeai) Jan 19, 2023
Chip War is a brisk, insightful, punchy, fast read about the most powerful resource today: semiconductor chips. The ups, downs, upsets, rebounds, and flameouts of the major players make it clear that this story is not done. The best account so far. https://t.co/TCfAWqcNPs
— Kevin Kelly (@kevin2kelly) Jan 19, 2023
The early stages of a tech stack in generative AI are starting to emerge. Where in this market will value accrue? @bornsteinmatt, @appenz & @martin_casado map out the market dynamics and answer the broader questions about generative AI business models. https://t.co/biLnjqVMnd
— a16z (@a16z) Jan 19, 2023
This morning I came across a cool demo by @LinusEkenstam about creating animated AI-generated characters. I decided to give it a try, and, with slight modifications, this is what I ended up with. https://t.co/e2vx9OP0Ls
— Bojan Tunguz (@tunguz) Jan 18, 2023
Let's build GPT: from scratch, in code, spelled out by Andrej Karpathy [video] https://t.co/xzgBqW49Mt
— Hacker News Bot (@newsycombinator) Jan 18, 2023
Introduction to Deep Learning - Carnegie Mellon 2022 Intro to DL is one of the respected courses at CMU. The course covers a wide range of topics related to DL, from foundations, neural networks techniques & algorithms, and latest advances in the field. https://t.co/kp1VKvdq4U https://t.co/mzhjsuCg2b
— Jean de Nyandwi (@Jeande_d) Jan 17, 2023
🔥 New (1h56m) video lecture: "Let's build GPT: from scratch, in code, spelled out." https://t.co/2pKsvgi3dE We build and train a Transformer following the "Attention Is All You Need" paper in the language modeling setting and end up with the core of nanoGPT. https://t.co/6dzimsYPB9
— Andrej Karpathy (@karpathy) Jan 17, 2023
Absolute best breakdown on ChatGPT vs. Google from @swyx https://t.co/8SeYifWnJa
— David Peterson (@edavidpeterson) Jan 17, 2023
China’s economy grew at one of its slowest rates in decades last year as lockdowns hammered households and businesses, emphasizing the high cost of zero-Covid policies Beijing abruptly abandoned at the end of 2022. @wsj_douglasj @TByGraceZhu @ByXiaoXiao https://t.co/Rbc8HbnKRz
— Jonathan Cheng (@JChengWSJ) Jan 17, 2023
Explainable AI: 10 Python Libraries for Demystifying Your Model's Decisions Become familiar with some of the most popular Python libraries available for AI explainability. #AI #MachineLearning #KDnuggets https://t.co/dLUJtiNjCg https://t.co/QsBe5qCyYe
— KDnuggets (@kdnuggets) Jan 16, 2023
How Nvidia’s CUDA Monopoly In Machine Learning Is Breaking @OpenAI Triton And @PyTorch 2.0 Model Optimization, The Memory Wall, Operator Fusion, Tensorflow, TorchDynamo, TorchInductor, Eager Mode, Graph Mode $NVDA $MSFT $META $INTC $AMD $AVGO $MRVL $GOOGL https://t.co/EAaqFdAVaT
— Dylan Patel (@dylan522p) Jan 16, 2023
"Right now, if you buy a new system, and you want to solve one of your problems, we immediately throw a new big problem, which is learning how to use the computer. [...] What we're trying to do is remove that barrier." — Steve Jobs, 1980
— Steve Jobs Stories (@SJobs_Stories) Jan 15, 2023
📽️Text-to-Video? It could revolutionize entertainment as we know it. Here's Phenaki, a model that can synthesize realistic videos from text prompt sequences. More examples below ↓ https://t.co/kcTHXuQ4Bb
— AI Breakfast (@AiBreakfast) Jan 15, 2023
If you are young and ‘woke’ fighting climate change, listen carefully to Konstantine Kisin. #ClimateEmergency @GretaThunberg https://t.co/JqwSDljUwS
— Alexander Stahel 🇺🇦 (@BurggrabenH) Jan 15, 2023
We're 2 weeks into 2023 and we've already some crazy AI announcements: - Microsoft bringing GPT to Bing, Word, Powerpoint, Outlook - The wild Microsoft/OpenAI deal - Google's text-to-image model Muse - Stability AI teasing DeepFloyd / IF - Apple's AI audiobooks
— Pete (@nonmayorpete) Jan 15, 2023
BaaS (Banking as as Service) https://t.co/es6jcZvTCc
— Tren Griffin (@trengriffin) Jan 14, 2023
Why? PyTorch. That's why. https://t.co/AF4Q2KmFQu
— Yann LeCun (@ylecun) Jan 14, 2023
GPT-3 is the best journal I've ever used. It feels like a warm and supportive friend who can ask the right questions, and pull out patterns in your thinking you may have missed. The possibilities are endless. Here's how I use it: https://t.co/qtNTaVcl5Q
— Dan Shipper 📧 (@danshipper) Jan 13, 2023
CNET uses AI journalists and no one notices. Is it bc AI is so good now, or the human writers were so blah? https://t.co/XYWNzmcheP
— Michael Arrington 🏴☠️ (@arrington) Jan 13, 2023
After the most difficult year ever in the equity market for innovation-based strategies, we just sent our clients this letter highlighting the breakthrough technologies that already are transforming the world. In our view, innovation solves problems! https://t.co/YdBiIZhY0D
— Cathie Wood (@CathieDWood) Jan 13, 2023
Yesterday, I shared a list of approaches that improve generalization. Thx to @jefrankle, I discovered his work (https://t.co/mvf2nE7I5T) studying the observation that pruning improves model generalization, decomposing this phenomenon into 2 factors. The magic of Twitter! 1/4 https://t.co/5b2JZdAmRS https://t.co/0RnsDzF4Jx
— Sebastian Raschka (@rasbt) Jan 12, 2023
I'll admit I was quite taken aback to see that CNET is now publishing entire articles generated by AI -- a grim inflection point in an already-bleak job market for journalists https://t.co/3JqXhfvxwp
— Jon Christian (@Jon_Christian) Jan 11, 2023
Getting to $10m in ARR in early markets is super hard. To do it, companies spend years hammering on the company *and* the market. PMF and category creation doesn't cover this stage well. So, here is our take ... https://t.co/IftI2lrgs4
— martin_casado (@martin_casado) Jan 11, 2023
Excited to be expanding Buy With Prime, letting more merchants offer fast, free delivery on their websites to Prime customers. Early tests show shopper conversion increases an avg of 25% when using Buy With Prime. Compelling for merchants & Prime customers.https://t.co/8t8lzgSO9E
— Andy Jassy (@ajassy) Jan 10, 2023
Sustainable #SupplyChains call for #IoT innovation: https://t.co/UgvoaSTVYm ———— #IIoT #AI #Edge #EdgeAI #IntelligentEdge #5G #DigitalTransformation #Industry40 #DigitalTwins #Logistics #BigData #DataScience #MachineLearning #EdgeComputing #Observability #ERP $OBS @ObiusERP $MNW
— Kirk Borne (@KirkDBorne) Jan 10, 2023
1/ We agree: @AdeptAILabs and @InflectionAI are ones to watch in AI 🤖 https://t.co/GJWXXvseOB
— Greylock (@GreylockVC) Jan 10, 2023
This week in The Algorithm, our weekly newsletter covering artificial intelligence: The EU wants to regulate your favorite AI tools. https://t.co/bZFsMV2KPw
— MIT Technology Review (@techreview) Jan 10, 2023
If you’re reading this, you’re either over 50 or hope to be sooner or later. The good news is, “over 50” doesn’t mean what it used to. The bad news is, to learn why, you gotta read this book. The best news? You'll grow old and stay rad. https://t.co/pr5BuqULj2
— Steven Kotler (@steven_kotler) Jan 10, 2023
1) Created an article using GPT-3. 2) Used Originality AI to detect whether the content was AI or human generated. Score: 100% AI 3) Prompted GPT-3 to rewrite the article "to avoid detection by AI content detection tools". 4) New Score: 68% Human https://t.co/ExTGAihgWD
— Danny Richman (@DannyRichman) Jan 10, 2023
This is the publishing model that the ML community has been slowly moving towards, led by ICLR. The ultimate state would be something like what I describe in this proposal: https://t.co/jMRHF8WH3a https://t.co/CgfSEaMAO4
— Yann LeCun (@ylecun) Jan 9, 2023
1/ Polygon will lead the era of Modular blockchain in 2023. I've written a '69 min read' long piece on @0xPolygon covering all of its products. Hope this will serve as a valuable resource as you embark on your journey to Polygon💜 + a thread 🧵 https://t.co/Nt6mOYErJW
— 100y.eth🦇🔊💜 | a41 (@100y_eth) Jan 9, 2023
New blog post about diffusion language models: https://t.co/uMF2BZNCqZ Diffusion models have completely taken over generative modelling of perceptual signals -- why is autoregression still the name of the game for language modelling? And can we do anything about that?
— Sander Dieleman (@sedielem) Jan 9, 2023
Why pay $50 to generate 100 images, when you can pay $5 to generate virtually unlimited images & ai avatars using autotrain's dreambooth training! Moreover, you own the data and the models! So, you can generate images when you want! No need to re-pay! 🔥 https://t.co/uFWHZA4B48
— abhishek (@abhi1thakur) Jan 9, 2023
Didn't even know this until today, but $GOOG already has an open source, LLM, which is superior to GPT3. It's called Flan-T5. And the AI search engine I tweeted about earlier, https://t.co/lgSbIgjHwi, uses a fine-tuned version. It's really good
— Gianni Di Mattia, CPA - 120% in Google Guy (@GianniDiMattia6) Jan 9, 2023
The current climate in AI has so many parallels to 2021 web3 it's making me uncomfortable. Narratives based on zero data are accepted as self-evident. Everyone is expecting as a sure thing "civilization-altering" impact (& 100x returns on investment) in the next 2-3 years
— François Chollet (@fchollet) Jan 8, 2023
https://t.co/QHdw2In5fT
— Gopi Vikranth (@GopiVikranth) Jan 9, 2023
Bernard Arnault displaced Elon Musk as the world's wealthiest person. But there's more. His company is now worth more than Tesla. He's the CEO of LVMH (Louis Vuitton Moët Hennessy). Here's a look at the company and how they make money. $LVMUY $TSLA https://t.co/QD6KGwolM1
— App Economy Insights (@EconomyApp) Jan 8, 2023
📍Generative #AI already making huge advancements in 2023. https://t.co/61RMV15exB
— Crypto Rand (@crypto_rand) Jan 8, 2023
The @mitsmr “AI in Action” column series by Thomas H. Davenport (@tdav) and Randy Bean (@randybeannvp) delves into successful use cases that can help other organizations accelerate their AI progress. https://t.co/Cb4jEuuId1
— MIT Sloan Management Review (@mitsmr) Jan 7, 2023
43 out of 100 top global brands has already tippy toed into web3, in loyalty and NFTs. Slowly but surely. https://t.co/nSSXlsuaQw
— CZ 🔶 Binance (@cz_binance) Jan 7, 2023
Today in The Download, our daily newsletter: what’s next for mRNA vaccines, and why 2023 is a breakout year for batteries. https://t.co/yOnQkelfGl
— MIT Technology Review (@techreview) Jan 5, 2023
Are you looking for competitively advantaged businesses? Here's a thread of transcript excerpts where company executives themselves describe their advantage in detail, found using our transcript search 🧵 1. $COST on scale economies shared: https://t.co/ZfSOAQpdGL
— Quartr (@Quartr_App) Jan 5, 2023
Great post (5mo ago) "chinchilla's wild implications" giving context to LLM goldrush shifting from model size to dataset size following Chinchilla https://t.co/aDdUAPYCI8 Subtle important detail: analysis assumes 1 epoch. Recent work (e.g. Galactica) gives hope for 1+ regime.
— Andrej Karpathy (@karpathy) Jan 4, 2023
From chess to Jeopardy to e-sports, AI is increasingly beating humans at their own games. But that was never the ultimate goal. In this episode of In Machines We Trust, we dig into the symbiotic relationship between games and AI. https://t.co/IIqifMCd5S
— MIT Technology Review (@techreview) Jan 4, 2023
The more things change... https://t.co/1K9Ih2xeae https://t.co/b1LUssHL5P
— Marc Andreessen (@pmarca) Jan 2, 2023
This time the party is in the CLO market, Credit Suisse one of the largest offenders Governments exacerbated the CLO bubble in 2020 when they didn't allow businesses to fail. Instead they inflated the entire thing with cheap liquidity Now Credit Suisse is 6 months from being $0 https://t.co/OfIXjvTxfe https://t.co/28HvYRCZTm
— Financelot (@FinanceLancelot) Jan 1, 2023
