Category: Generative AI

Infographic: Generative AI Explained by AI

This post is by Nick Routley from Visual Capitalist

infographic explaining generative ai created using generative ai tools

Generative AI Explained by AI

After years of research, it appears that artificial intelligence (AI) is reaching a sort of tipping point, capturing the imaginations of everyone from students saving time on their essay writing to leaders at the world’s largest tech companies. Excitement is building around the possibilities that AI tools unlock, but what exactly these tools are capable of and how they work is still not widely understood.

We could write about this in detail, but given how advanced tools like ChatGPT have become, it only seems to see what generative AI has to say about itself.

Everything in the infographic above – from illustrations and icons to the text descriptions⁠—was created using generative AI tools such as Midjourney. Everything that follows in this article was generated using ChatGPT based on specific prompts.

Without further ado, generative AI as explained by generative AI.

Generative AI: An Introduction

Generative AI refers to a category of artificial intelligence (AI) algorithms that generate new outputs based on the data they have been trained on. Unlike traditional AI systems that are designed to recognize patterns and make predictions, generative AI creates new content in the form of images, text, audio, and more.

Generative AI uses a type of deep learning called generative adversarial networks (GANs) to create new content. A GAN consists of two neural networks: a generator that creates new data and a discriminator that evaluates the data. The generator and discriminator work together, with the generator improving its outputs (Read more...)

Will ChatGPT kill search & software + a few good reads

This post is by Om Malik from On my Om


Short-selling giant Jim Chanos in a Twitter Spaces conversation, had some choice words for Silicon Valley investors when it comes to due-diligence failings, as demonstrated by the FTX blowup shows. 

“Look at the texts that were released in conjunction with people wanting to invest in Elon’s Twitter deal. You know, ‘I’ll send you a couple billion dollars in effect, no due diligence necessary.’ This is the ultimate FOMO [fear of missing out] type market, and people are investing in personalities, not businesses.”

Silicon Valley does indeed do a poor job of diligence, and deal fever trumps everything. 


Will ChatGPT upend Google and the ad-based search model? 


If you can put the shiny new toy aspect of ChatGPT aside and take a bigger picture, the impact of these new prompts on software programming will be very profound, as Ankur and Alana Goyal outline.


Seed Money: Michael Goguen (yes, that Michael Goguen), formerly a partner at Sequoia Capital, got conned by a wannabe mercenary and ended up in a whole lot of trouble as a result. This is a shocking story of a billionaire with a savior complex, voracious sexual appetites, and a con man who knew how to press the right buttons. Highly recommended. 


What happened to Columbia House? As a new immigrant, I got conned myself into signing up for the Columbia House program. It seemed like such a good deal. Oops. I am glad they are gone. No, I am not bitter at (Read more...)

Who’s Streaming’s Top of The Pops?

This post is by Om Malik from On my Om

man listening to Soundcloud music on smartphone
Photo by Rachit Tank on Unsplash

When Apple announced that it now has 100 million songs on its music streaming platform, it started a conversation. Bruce Houghton, founder of Hypebot puts the conversation to the rest with his estimates

  • Soundcloud: 300 million
  • Apple Music: 100 million
  • YouTube: 100 million
  • Amazon Music: 90 million
  • Tidal: 90 million
  • Deezer: 90 million
  • Spotify: 82 million

With just over 100,000 songs being uploaded every day, the totdaily, this number will soon balloonal number of songs on streaming services will continue to increase. The rise of generative AI will redefine music and creative an exponential boom in available musical content.

“The internet has the power to reach everybody, nearly instantly. But we’ve found out that there’s so much stuff that it’s hard to reach anybody.”

Bob Lefesetz

The elephant in the room is that with this many songs on tap, how much can we listen, how can we discover, and more importantly, do we even care about new music? Or do we retreat to what we know best? 

October 21, 2022. San Francisco