McKinsey & Company
What’s the future of generative AI? An early view in 15 charts
2 min · · Generative AI has hit the ground running—so fast that it can feel hard to keep up. Here’s a quick take pulled from our top articles and reports on the subject. · Shared by 346, including Matthias Lampe
proxiesapi.com
Web Scraping using ChatGPT - Complete Guide with Examples
8 min · · Web scraping is the process of extracting data from websites automatically using code. ChatGPT has emerged as a powerful tool for web scraping due to its natural language capabilities. This article… · Shared by 10, including Matthias Lampe
analyticsindiamag.com
7 Incredible Features of GPT-4V
1 min · · With GPT-4 finally becoming multimodal, GPT-4V has made ChatGPT a game-changer with its versatile features · Shared by 4, including Matthias Lampe
Ars Technica
OpenAI’s new AI image generator pushes the limits in detail and prompt fidelity
7 min · · With better response to details and text, DALL-E 3 hopes to make prompt engineering obsolete. · Shared by 7, including Matthias Lampe
MIT Technology Review
Large language models aren’t people. Let’s stop testing them as if they were.
10 min · · With hopes and fears about this technology running wild, it's time to agree on what it can and can't do. · Shared by 23, including Draven, Matthias Lampe
Dezeen
Generative AI boom "could come to a fairly swift end"
2 min · · Predictions about the potential impacts of generative AI may be hugely overblown because of "many serious, unsolved problems" with the technology according to Gary Marcus, one of the field's leading… · Shared by 6, including Matthias Lampe
Vox
San Francisco’s robotaxi experiment is getting out of hand
8 min · · The city’s bumpy experiment with self-driving taxis is spreading nationwide, too. · Shared by 105, including Matthias Lampe
Vox
Why Meta’s move to make its new AI open source is more dangerous than you think
7 min · · If AI really is risky, then opening it up could be a major mistake. · Shared by 29, including Matthias Lampe, jorge-ferrer
generated.photos
AI Human Generator – Generate and Modify People Online
· Use AI to generate people online that don’t exist, change clothing and modify face and body traits. Download generated people in different postures. · Shared by 14, including Matthias Lampe
Marktechpost AI Research News ⚡
Researchers from MIT and Harvard have Produced a Hypothesis that may Explain How a Transformer Could be Built Using Biological…
· Artificial neural networks, prevalent models in machine learning capable of being trained for various tasks, derive their name from their structural resemblance to the information-processing methods of biological neurons within the human brain. The workings of the human brain inspire them. The rise of Transformers, a distinctive category of artificial intelligence architecture, has sparked a profound influence across the landscape of machine learning and is steadily penetrating the domain of computational neuroscience. These revolutionary models exhibit an extraordinary ability to achieve unmatched levels of performance, as evidenced by their proficiency in generating text from prompts with remarkable human-like accuracy. Significantly, · Shared by 5, including Matthias Lampe
Ars Technica
A jargon-free explanation of how AI large language models work
20+ min · · Want to really understand large language models? Here’s a gentle primer. · Shared by 586, including Matthias Lampe
techxplore.com
Fighting fake 'facts' with two little words: A new technique to ground a large language model's answers in reality
3 min · · Asking ChatGPT for answers comes with a risk—it may offer you entirely made-up "facts" that sound legitimate, as a New York lawyer recently discovered. Despite having been trained on vast amounts of… · Shared by 6, including Matthias Lampe
thefp.com
AI Will Save the World
20+ min · · Artificial intelligence won’t end civilization, argues Marc Andreessen. Just the opposite. It is quite possibly the the best thing human beings have ever created. · Shared by 4, including Matthias Lampe
Stephen Wolfram
What Is ChatGPT Doing … and Why Does It Work?
· Stephen Wolfram explores the broader picture of what's going on inside ChatGPT and why it produces meaningful text. Discusses models, training neural nets, embeddings, tokens, transformers, language… · Shared by 1274, including Martin Varsavsky, Mike Davidson, Dr. Alec Couros, Luke Wroblewski, Paul Graham, Thomas Frank, Cory Doctorow @pluralistic@mamot.fr, Guy Kawasaki, Teresa Torres, Chris Heilmann codepo8@toot.cafe, Steven Sinofsky, danabramov.bsky.social, Kirk Borne, 🇺🇦Evan Kirstel #B2B #TechFluencer, Kevin Kelly, Dr. Pete Meyers, Nathan Baschez 📧, William Gibson, Martin Ford
Marktechpost AI Research News ⚡
Marktechpost AI Research News ⚡
· Shared by 7, including Matthias Lampe
IEEE
Machine Learning Tool Easily Spots ChatGPT's Writing
· ChatGPT’s academic papers were caught 99 percent of the time · Shared by 7, including Matthias Lampe, Erico Guizzo