The Advancement of AI in 2022 - a Spotlight from Richard Socher

Richard Socher is the CEO of the AI-powered search engine, You.com. The foundation of this website is built on trust, kindness, facts, and AI, by providing the next generation of search that summarizes the web for you, with privacy and without ads.

Ahead of the upcoming AI Summit West, where Richard will be speaking on 'The Future of Search and Generative AI', we asked him 4 questions to summarize the advancements of Artificial Intelligence in 2022. Here's what he had to say:

1. What do you think has been the biggest highlight of machine learning/deep learning for 2022?

"Generative AI. The evergreen for me in the last decade has been natural language processing, broadly construed. I am very passionate about it because it is the most exciting manifestation of human intelligence - this language capability is what differentiates us the most from other animals. This, of course, has been connected to the thought and is highly philosophical, but it also results in concrete products and, in particular, is at the very core of search."

2. Which trend associated with deep learning and AI are you most interested in/passionate about? Why do you think this is so relevant today?

"Search starts with a natural language query from a person that searches, to understanding that query with natural language processing understanding its intent, and then helping to answer those questions as best as possible, or creating the corresponding actions based on your understanding of the user's intent.

All of that is deeply connected with natural language processing, and we've seen a ton of excitement around genitive capabilities. For example, if you ask for an essay or enter a query "how to write a good essay," the best answer is the essay, not a list of 10 links on how to learn to read and write well — then having Generative AI writes this for you. It's helping people be more efficient, and NLP will do this, Generative AI even more, again broadly construed, in code and language and search."

3. What are the top 3 deep learning trends you think will take AI to the next level in 2023, and why?

"#1 - Chat Interfaces - Search and chat interfaces that help users find answers or take an action in a conversational way.

#2 - Generative AI for Images. They will get better and faster and expand into multi-modal outputs. Instead of a single image or a single text, you will have dialogues, videos, sound, and music. Your creativity will no longer be limited by your execution skills of how well you can paint, draw, or sketch; or how well you can play an instrument or sing with your voice. Your creativity will be mostly restricted by your ideas. Your ideas will be able to come to life much more easily which will mean an explosion in creative outputs.

A good example is the printing press. Yes, the printing press stole the jobs of monks who copied books, but millions more books were created once we didn't have to copy them anymore manually. Likewise, we will see millions more art pieces, songs, books, and poems created by the people. In some ways, it'll take more work to create something truly novel. In the past, you could've created something novel by being inspired or copying someone else's style. That will become so easy that no one will be impressed by your painting like Van Gogh, Matisse or Dalí, and others. It will be much more impressive to come up with new styles and ideas.

#3 - Generative AI for medicine - it will change protein structures and that might change all of medicine."

4. What are the top 3 challenges that the industry will face in 2023, and why?

"Every challenge is an opportunity.

For search, the challenge will be the truthfulness and factual correctness of AI. The opportunity there would be to incorporate new tools, push these models to be more accurate, and combine them better with search.

For coding, the challenge will be the quality of the code. The opportunity there could be the accuracy and quality as validated by the top 50% and how will coders incorporate these tools into their work streams.

For AI image generation, the challenge will be acceptance amongst the visual art community, and the opportunity will be how they learn to work with these tools rather than reject them."

Interested in hearing more from Richard? Join us on February 15-16, 2023, in San Francisco, CA, for AI Summit West. This 2-in-1 Summit features access to both the Deep Learning Summit stage and Enterprise AI Summit stage.

Space is filling up fast, so be sure to claim your spot before tickets run out!

To register, visit: https://ai-summit-west.re-work.co/register