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Paul Greenberg

CEO at Butter Works

Paul Greenberg is a three-time CEO with extensive experience in digital media and technology. He is currently the CEO of Butter Works, a digital media and consulting company that provides AI and strategy services.12

Professional Background

Greenberg has an impressive career trajectory across multiple digital media companies:

  • CEO of CollegeHumor, where he grew the channel to be the #7 YouTube channel globally1
  • CEO of Nylon, growing revenue 150% and audience 15x1
  • Executive Vice President at A+E Networks, where he created hit shows on Snapchat and YouTube14
  • President of Digital at Time Inc.4

Education and Expertise

He graduated from:

  • St. Albans School in Washington, D.C. in 1986
  • Columbia College in 1990 with a bachelor's degree
  • Columbia Business School in 1997 with an MBA2

AI and Technology Focus

Greenberg has over six years of experience using both generative and predictive AI in video creation. At Butter Works, he helps teams learn about AI and drive measurable business growth. His expertise spans areas like:

  • Large Language Models
  • Machine Learning
  • Natural Language Processing
  • Computer Vision
  • Prompt Engineering3

His LinkedIn profile highlights his innovative work, including using AI to reduce video production time by 85% at Meet Cute and developing predictive AI processes to optimize video content.4

Highlights

May 21 · linkedin

We’re one step closer to cracking the code of how AI thinks.

As impressive as generative AI chatbots are, even their creators don’t know exactly how they come up with the responses they do.

Researchers at Anthropic (parent company of the AI model Claude) released a paper today saying they’ve made significant progress toward reverse engineering their large language model to understand why it comes up with specific outputs.

Using a technique called “dictionary learning,” the team was able to associate a combination of neurons that, when fired in unison, evoked a specific concept.

They can now tune this feature to some extent to dial up or down certain characteristics of the model with the ultimate goal of making it safer to use and demonstrating a lot less bias.

Dictionary learning still can’t break open the AI black box, but it gives us an important tool to use to start to peer inside.

Do you think we'll be able to figure all of this out soon, or will gen AI remain a mystery?

#ai #llm #largelanguagemodel #anthropic

Apr 12 · linkedin

I'm speaking on a panel about AI this coming Wednesday at 11 AM in New York City. Should be a great discussion (and it's free). Please join Paul Melcher, Francis (Frank) Evers, Axel Ebermann, and me. Here's the info: https://lnkd.in/e4mbVwHt

Related Questions

What are some of Paul Greenberg's most notable achievements at CollegeHumor?
How did Paul Greenberg's leadership impact Nylon's growth?
What specific AI technologies does Paul Greenberg use at Butter Works?
Can you provide examples of successful video predictions made by Paul Greenberg?
What strategies did Paul Greenberg implement at A+E Networks?
Paul Greenberg
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Location

New York, New York, United States