AI agents are shifting from prompts to proactive teammates, transforming software design for machine legibility and expanding markets from software to labor spend.
AI orchestrates coordinated multi-agent systems, transforming workflows from sequential to parallel. Extracting tacit knowledge becomes crucial for managing complexity and driving revenue-focused outcomes.
AI amplifies human capabilities, driving unprecedented productivity and economic growth, not job displacement. Embrace AI as a creative partner to unlock new potential and ensure broad access.
"Wittgenstein" - Mentioned as a personal background influence for the speaker's interest in language models and AI.
Videos & Documentaries
"Her" - Used as a cultural reference point for discussions about AI interfaces and voice interaction, though the speaker argues it's often misinterpreted.
Research & Studies
"Word to Vec" paper (Google DeepMind, 2012) - The first technology that enabled translating words into vectors, allowing computers to process language.
"First deep learning model applied to dialogue generation" paper (Google, 2015, by Collet) - Showcased the first deep learning model for dialogue generation, which the speaker's company, Replica, attempted to replicate.
"Mina paper" (Google) - Mentioned as the paper that introduced the first Transformer model.
Tools & Software
ChatGPT - Used as an example of current AI interfaces and their primary use cases (search, writing).
Gemini - Mentioned as another AI tool primarily used for simpler use cases.
Claude - Mentioned as another AI tool primarily used for simpler use cases.
Wabi - A platform for creating, remixing, and sharing personal software applications.
Canva - Used as a comparison for the desired ease of use in creating visually appealing applications.
Geocities - An early internet tool for creating personal web pages, used as a historical analogy for user-generated content.
Shopify - Used as an example of a platform that simplified e-commerce for individuals.
Prisma - A photo editing app that gained traction for transforming photos into avatars, cited as an example of a successful "thin wrapper" app.
Lensa - Another photo editing app mentioned as an example of a successful "thin wrapper" app.
IOS Apps - Discussed in the context of their evolution from website squeezes to new categories like Uber and Tinder.
Articles & Papers
"Mina paper" (Google) - Mentioned as the paper that introduced the first Transformer model.
People Mentioned
Eugenia Quita - CEO of Wabi, discussing the creation and evolution of personal software and AI interfaces.
Sam Altman - Co-founder of OpenAI, mentioned in the context of GPT-3 and early OpenAI partnerships.
Mira Murati - Mentioned as leading partnerships at OpenAI during the GPT-3 era.
Greg Brockman - Co-founder of OpenAI, mentioned in the context of early GPT-3 training.
Billia - Mentioned as an individual at OpenAI who was available for questions during early YC research days.
Andreessen - Mentioned in the context of his idea of "Software 3.0" and his comments on video games as a research direction.
Wittgenstein - A philosopher whose work influenced the speaker's interest in language and AI.
Mr. Beast - The world's biggest creator, used as an example of how creators can offer new forms of value to fans.
Organizations & Institutions
a16z - The host organization.
OpenAI - Developer of GPT-3 and ChatGPT, discussed in the context of early partnerships and the evolution of AI models.
Google DeepMind - Mentioned for their work on "Word to Vec" in 2012.
Y Combinator (YC) - Mentioned as the incubator for Replica and early OpenAI research.
Websites & Online Resources
YouTube - Used as a metaphor for the future of software creation and consumption.
Reels - Used as a metaphor for the future of software creation and consumption.
TikTok - Used as a metaphor for the future of software creation and consumption, and for sharing prompts.
Apple App Store - Discussed as a current platform for apps, contrasted with the potential of personal software creation.
Twitter - Mentioned as a platform where the speaker finds prompts.
Reddit - Mentioned as a platform where users gather around interests, and specifically the "ChatGPT Prompt Genius" subreddit.
Wabi's mini app store - The platform where users can discover and share created mini apps.
Other Resources
Microsoft DOS era - A metaphor used to describe the current state of AI interfaces.
Windows/Mac OS moment - A metaphor for a significant advancement in AI interfaces.
Microsoft Tay - An example of a generative AI product that failed publicly, leading to caution among companies.
AI Companions/AI Friends - An early concept in AI development focused on providing emotional support.
Personal Software - The core concept of Wabi, referring to software built by individuals for their specific needs.
Ephemeral Software - Software designed for temporary or specific use cases, as opposed to durable, long-term applications.
Vibe Coding - A term used to describe creating software with an emphasis on aesthetics and user experience rather than traditional coding.
Power Ups - A Wabi feature allowing integration with existing apps and services.
Social Graph - The network of connections between users on a platform, discussed in the context of Wabi's social features.
Community Starters - The idea that mini apps can act as catalysts for building online communities.
Software 3.0 - An idea of a next-level software paradigm characterized by deep personalization.
AI-first Operating System - A vision for future operating systems designed around AI capabilities.
Screenless Devices - Devices that rely solely on voice interaction, which the speaker believes is a flawed concept.
Hardware of the Future - Speculation on future hardware designs that prioritize AI.
AI-first Smartphone - A vision for a smartphone designed from the ground up with AI capabilities.
Organizational Layer - A system for organizing and accessing information or software, analogous to app stores or browser homepages.
Ubi - Mentioned as one of the research groups at YC Research.
Reinforcement Learning - A type of machine learning discussed in the context of OpenAI's early research directions.
Generative AI - AI capable of creating new content, such as text or images.
Zero-shot/Few-shot Model - AI models that can perform tasks they haven't been explicitly trained on.
Transformer Models - A type of neural network architecture that has been foundational for recent advancements in AI.
Replica - The speaker's previous company, focused on AI chatbots and dialogue generation.
GPT-3 - A powerful language model developed by OpenAI, discussed in the context of its capabilities and early adoption.
Fine-tuned Davinci - A specific version of the GPT-3 model used by Replica.
AI Device - A device whose primary function is to interact with AI.
Creator Class - A group of individuals who create content or products, including software, for their audience.