AI + a16z

Recent AI Content

• It’s Not a Computer, It’s a Companion!

  Justine Moore, Bryan Kim, Yoko Li, Martin Casado

  Chatbots have been around for decades, but this time is different. Today’s bots are making inroads into our social lives.

• The Next Token of Progress: 4 Unlocks on the Generative AI Horizon

  Sarah Wang, Shangda Xu

  How 4 key AI innovations will evolve over the next 6–12 months, and how founders can integrate these new advances into their businesses.

• Five Predictions for the Future of Learning in the Age of AI 

  Anne Lee Skates

  If leveraged well, AI has the potential to greatly enhance students’ abilities to think critically and expand their soft skills.

• “Adventure is out there!”: Opportunities in AI x Travel

  Bryan Kim, Justine Moore

• Art Isn’t Dead, It’s Just Machine-Generated

  Guido Appenzeller, Matt Bornstein, Martin Casado, Yoko Li

  Why AI models will replace artists long before they’ll replace programmers Perhaps the most mind-bending implication we’re seeing fr...

• The Long-Tail Problem in AI, and How Autonomous Markets Can Solve It

  Ali Yahya

  In the past decade, our progress in Artificial Intelligence has been staggering. We’ve gone from barely detecting cats in YouTube videos to building cars that can drive themselves. And yet, as ...

• The Generative AI Revolution will Enable Anyone to Create Games

  Joshua Lu, Robin Guo

  Generative AI will completely reshape UGC and expand the games market beyond what many thought was possible.

• The New Industrial Revolution: Bio x AI

  Vijay Pande

  This new era of industrialized bio--enabled by AI as well as an ongoing, foundational shift in biology from empirical science to more engineered approaches--will be the next industrial revolution in human history.

• Using Generative AI to Unlock Probabilistic Products

  Anish Acharya

  Those who complain about hallucinations miss the point. A dispersion of outputs (including hallucinations) will unlock a whole new category of product design: probabilistic products.

• Emerging Architectures for LLM Applications

  Matt Bornstein, Rajko Radovanovic

  A reference architecture for the LLM app stack. It shows the most common systems, tools, and design patterns used by AI startups and tech companies.

• a16z Slack Debate: Will Generative AI Supplant Therapists, Game Makers…Friends?

  Connie Chan, Matt Bornstein, Vijay Pande, Jonathan Lai, Jack Soslow

  There’s much more to generative AI than heroic avatars and tongue-in-cheek art. The potential applications are widespread, from drug discovery and therapy to writing, game development, educa...

• Aligning Founder Superpowers with Product Cycles

  Anish Acharya

  At this early stage in generative AI, technologists and product pickers will likely have the biggest impact on which companies emerge as winners. 

• 5 Founders on the Future of Data

  a16z editorial

  Highlights from the a16z Data and AI Forum, featuring founders building products across the spectrum of data and AI use cases.

• Why AI Will Save the World

  Marc Andreessen

  There's a full-blown moral panic about AI right now. But the real risk is losing the race to global AI technological superiority.

• AI Canon

  Derrick Harris, Matt Bornstein, Guido Appenzeller

  A curated list of resources we’ve relied on to get smarter about modern AI, including generative AI, LLMs, and transformer models.

• Generative AI: The Next Consumer Platform

  Connie Chan, Justine Moore

• Embracing the Future: How Chatbots Can Become Great Companions

  Connie Chan

  In a world of retweets, upvotes, and right swipes, studies show that many of us still feel lonely. Thanks to generative AI, we potentially have a new solution: companion chatbots.

• For B2B Generative AI Apps, Is Less More?

  Zeya Yang, Kristina Shen

  We’ve watched large language models (LLMs) become mainstream over the past few years and have studied the implementations in the context of B2B applications. Despite some enormous technological ...

• Big Ideas in Tech for 2023: An a16z Omnibus

  a16z

  From entertainment franchise games to the precision delivery of medicines, small modular reactors to loads of AI applications, here are 40+ builder-worthy pursuits for 2023.

• Financial Services Will Embrace Generative AI Faster Than You Think

  Angela Strange, Anish Acharya, Sumeet Singh, Alex Rampell, Marc Andrusko, Joe Schmidt, David Haber, Seema Amble

  The emergence of generative AI could yield the largest transformation the financial services market has seen in decades.

• Taming the Tail: Adventures in Improving AI Economics

  Martin Casado, Matt Bornstein

  AI has enormous potential to disrupt markets that have traditionally been out of reach for software. These markets – which have relied on humans to navigate natural language, images, and physical space – represent a huge op...

• Navigating the High Cost of AI Compute

  Guido Appenzeller, Matt Bornstein, Martin Casado

  The generative AI boom is compute-bound and, as a result, a predominant factor driving the industry is simply the cost of training and inference. 

• The Generative AI Revolution in Games

  James Gwertzman, Jack Soslow

  To understand how radically gaming is about to be transformed by generative AI, look no further than this recent Twitter post

• Who Owns the Generative AI Platform?

  Matt Bornstein, Guido Appenzeller, Martin Casado

• Emerging Architectures for Modern Data Infrastructure

  Matt Bornstein, Jennifer Li, Martin Casado

  This is an updated version of a post we originally published in 2020. You can read the original version here....