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<div style="max-width: 480px;">What Is ChatGPT Doing … and Why Does It Work?</div>

Andreesen Horrowitz:

About This Site | Andreessen Horowitz

• AI Playbook

  One way to think of what AI enables is to consider what it will make cheap and thereby ubiquitous. A Harvard Business Review article titled “The Simple Economics of Machine Intelligence”, published in November 2016, argued that AI would make predictions cheap. Let’s expand on this idea. AI will make predictions cheap, true, but it will make other things cheap as well:Enable things that move to drive or fly or sail themselves

  • Understand people and objects and their relationships in the real world
  • Optimize complex systems, such as driving patterns or electricity consumption in data centers
  • Create content, such as newspaper articles, tweets, music, websites, movie trailers, and eventually, entire movies
  • Understand people, help people understand software, and help people understand each other

  AI Video Primer

Google people + AI

Glossary of terms from Google; 6 terms all UXers should knw

• AI
  • The science of making machines intelligent, so they can recognize patterns and get really good at helping people solve specific challenges or sets of challenges.
• Machine Learning
  • A subfield of artificial intelligence that comprises techniques and methods to develop AI, by getting computer programs to do something without programming super-specific rules.
• Machine Learning Model
  • A bunch of specialized, connected, mathematical functions. Together they represent the steps an intelligent machine will take to arrive at a decision.
• Classification
  • A task in which a model must predict what specific known group(s) a new input might belong to.
• Regression
  • A task in which a model must predict a numerical value for a specific scenario
• Confidence Level
  • A numerical expression of certainty in percentages.