Who is Bret Taylor? Named as a Person Wanted for OpenAI Board


Bret Taylor is an American computer programmer and entrepreneur. He is the co-founder of FriendFeed and Quip, and served as the CEO of Google Maps, Facebook, and Salesforce. He currently serves as a board member of Shopify.

Here’s a timeline of his major achievements:

  • 2003: Graduated from Stanford University with a bachelor’s degree in computer science.
  • 2004: Joined Google as a product manager, where he helped to develop Google Maps.
  • 2008: Left Google to co-found FriendFeed, a social media aggregation platform.
  • 2009: FriendFeed was acquired by Facebook for $50 million. Taylor joined Facebook as CTO.
  • 2012: Left Facebook to co-found Quip, a document collaboration platform.
  • 2016: Quip was acquired by Salesforce for $750 million. Taylor joined Salesforce as COO.
  • 2017: Became CEO of Salesforce.
  • 2022: Stepped down as CEO of Salesforce to join Twitter as chairman of the board.
  • 2023: Left Twitter after it was acquired by Elon Musk.

Taylor is a well-respected figure in the tech industry. He is known for his intelligence, his vision, and his commitment to creating a better world through technology. He is also a prolific author and speaker, and he has written widely on the topics of technology, business, and leadership.

Who is the Current CEO of Quora and Board Member of OpenAI?

Adam D’Angelo is the current CEO of Quora. He co-founded the question-and-answer website in 2009 with former Facebook employee Charlie Cheever. D’Angelo served as Quora’s first CEO until 2014, when he stepped down to become the company’s CTO. He returned to the CEO role in 2016.

D’Angelo is a graduate of Phillips Exeter Academy and the California Institute of Technology, where he earned a Bachelor of Science degree in computer science. Prior to co-founding Quora, D’Angelo worked as a software engineer at Facebook from 2004 to 2008.

Under D’Angelo’s leadership, Quora has grown to become one of the world’s most popular question-and-answer websites, with over 300 million monthly visitors. The site has been praised for its high-quality content and its community of experts, who provide answers to a wide range of questions.

D’Angelo is a member of the board of directors of OpenAI, a non-profit research company that promotes friendly artificial intelligence. He is also a co-founder of Edge.org, a website that publishes essays and interviews on a variety of topics.

The Top 10 Generative AI Projects at the Moment

Generative Artificial Intelligence (AI) is a field of machine learning that involves creating machines and algorithms that can produce new and original content. From art and music to literature and video games, generative AI is changing the way we think about creativity. Here are the top 10 generative AI projects that are pushing the boundaries of what’s possible:

  1. GANs for Art: Generative Adversarial Networks (GANs) are one of the most popular types of generative AI algorithms. They work by pitting two neural networks against each other. One network generates new content, while the other network tries to determine if the content is real or fake. Artists are using GANs to create realistic portraits, landscapes, and other types of art.
  2. OpenAI’s GPT-3: GPT-3 is the latest natural language processing model developed by OpenAI. It can generate human-like text, translate languages, and even answer complicated questions. With over 175 billion parameters, GPT-3 is one of the most advanced AI models in existence.
  3. Magenta: Magenta is a Google project that uses machine learning to create music and art. It includes a variety of tools for musicians and artists, including a neural network that can generate new melodies and harmonies.
  4. AI Dungeon: AI Dungeon is a text-based adventure game that uses GPT-3 to generate new storylines and characters. Players can input their own prompts and watch as the AI generates an entirely new adventure.
  5. GANs for Fashion: GANs are also being used in the fashion industry to create new designs and styles. Designers can input different parameters, such as fabric and color, and watch as the GAN generates new clothing items.
  6. GANs for Video Games: GANs are being used to generate new video game levels and characters. By inputting different parameters, game designers can create entirely new worlds and experiences.
  7. DeepDream: DeepDream is a Google project that uses neural networks to generate psychedelic and surreal images. Users can input their own images, and the AI will generate new, dream-like versions of them.
  8. Generative.fm: Generative.fm is a website that uses AI to generate ambient music in real-time. Users can customize the music by adjusting different parameters, such as tempo and mood.
  9. GANs for Medical Imaging: GANs are being used to generate realistic medical images, which can be used for training medical professionals and developing new treatments.
  10. GANs for Architecture: GANs are also being used in the architecture industry to generate new building designs and layouts. By inputting different parameters, architects can create entirely new buildings and structures.

As generative AI continues to advance, we can expect to see even more exciting projects and applications in the coming years. From art and music to medicine and architecture, the possibilities are endless.

AI Generated Image Copyrights – Is It Really OpenAI?

The world of AI generated images and copyright ownership over the images created – is a very interesting world indeed. 

OpenAI Dall-E 2 images as the example: 

“To use DALL-E 2, you have to agree to OpenAI’s Terms of Use. According to these terms, OpenAI actually owns the images you create (which the Terms of Use call “generations”). OpenAI graciously grants you the right to sell your DALL-E 2 images (assuming you can somehow persuade someone to pay you for an image they can copy for free).

If that feels like the maker of the paintbrush telling Monet what he gets to do with his painting, that’s understandable.

To add insult to injury, OpenAI’s terms go further. Just to make it perfectly clear, you expressly assign any rights you might have in your image (whatever those might be) to OpenAI by contract. As the owner of the image, OpenAI can grant other people the right to reproduce, publish, or sell images that you create with DALL-E 2. You could find yourself in the position of walking into a store and seeing it selling your DALL-E 2 masterpiece on cheap T-shirts, and there would be nothing you could do to stop it.”