For those interested in plunging into the deep grass of how large language models and the like work, Damien Benveniste offers us a concise primer in Deep Neural Networks: All the Building Blocks. He gives us an overview of loss
Category: Science and Technology
Christopher Mims over at the Wall Street Journal (paywall) in AI Becomes Silicon Valley’s Next Buzzy Bandwagon as Crypto Boom Fizzles presents us with another article hyping AI and at the same time telling us that AI is overhyped. Also,
Alex Kantowitz tells us that “Wacky, Unhinged Bing Chatbot Is Still Good For Microsoft’s Business.” The Bing chatbot has recently gone viral on social media with screenshots of it displaying unhinged behaviour and condescending responses. It gives false information, insults
A meme of Nicolas Cage is making the rounds: “Firing 12k people rises the stock by 3%, one rushed AI presentation drops it by 8%.” Quite a bit of criticism this week directed at Google for Bard and its handling
AI Research Tool: Bearly.AI is an AI research tool that claims it’s “the world’s best AI, at your fingertips”. It promises to save “hundreds of hours reading and writing with the world’s best AI,” and is packaged as a desktiop applicaton (Mac,
Andreessen Horowitz Weighs in on Generative AI: Venture capital firm Andreessen Horowitz asks Who Owns the Generative AI Platform? The rather lengthy article is focussed on the business aspects of the new technology. They start by giving us a base, showing
Cerebral Valley: The media instruct us that San Francisco is experiencing a new post-Covid tech boom due to generative AI companies, labelling what they claim to be its epicenter, Hayes Valley, with the somewhat awkward but memorable name “Cerebral Valley.”
ChatGPT and Real Estate: Joining the slew of “ChatGPT and …” content, we now have “ChatGPT and Real Estate” articles and videos emerging to tell us how real estate agents are using the technology to quickly and automatically generate listings
Bad 2016 Chatbot Release Explains Why Microsoft Is Beating Google. In A disastrous chatbot release in 2016 helps explain why Microsoft is trouncing Google in A.I. today, Steve Mollen tells us that in the current round of the Rock-Em-Sock-Em Robots
Abishek Kumar Singh offers us this wonderful diagram that views generative AI through the lens of the Dunning-Kruger effect, which, in case you need to be reminded, is the cognitive bias wherein dumb people tend to be too dumb to