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2020science/README.md

Hi, I'm Andrew Maynard

I'm a scientist, author, and Professor of Advanced Technology Transitions at Arizona State University where, amongst other things, I direct the Future of Being Human initiative.

I spend much of my time exploring, studying, and writing about the intersection between emerging technologies, society, and the future, and how we can navigate toward futures where humans flourish and thrive within an increasingly complex technological world. I trained as a physicist (PhD, Cambridge), but these days I work across many different disciplines, from AI and biotech to science communication and responsible innovation.

Most of my work appears elsewhere but this is my "digital playground" where I occasionally put code and web-based stuff I'm experimenting with — often in the context of exploring and using emerging AI capabilities. Many of these projects are one-off explorations or proofs of concept. In contrast spoileralert.wtf is a serious ongoing initiative.

What I'm building here

spoileralert.wtf — An experiment in AI-legible publishing and AI-augmented "living books." I transformed my book Films from the Future into a "living book" — 370+ structured markdown files coordinated through an llms.txt file that lets AI systems interactively explore the book's ideas with users. Paste a prompt, start a conversation.

XENOPS — A scenario-based framework for probing how AI models handle high-stakes ethical dilemmas, including the temptation to rewrite their own operating constraints.

AI Agent Framework — A web-based tool for visualizing AI agents across autonomy, efficacy, goal-complexity, and generality, based on the Kasirzadeh and Gabriel framework.

Manus Synthetic Survey — A proof-of-concept exploring what happens when you ask an AI agent to design, simulate, and analyze an entire research survey on undergraduate attitudes toward AGI.

Elsewhere

Popular repositories Loading

  1. skills-introduction-to-github skills-introduction-to-github Public

    My clone repository

  2. manus-synth-agi-survey-03-19-2025 manus-synth-agi-survey-03-19-2025 Public

    Files associated with the synthetic survey of undergrad attitudes toward AGI using Manus

    Python

  3. fis-applications-model fis-applications-model Public

    A simple AI-generated model of factors potentially affecting applications to the ASU FIS BS

    JavaScript

  4. fis_admissions_estimates fis_admissions_estimates Public

    Model to estimate potential future enrollment in the Future of Innovation in Society BA at Arizona State University

    HTML

  5. prompt2url prompt2url Public

    A simple web page to convert prompts to URLs for ChatGPT and Perplexity

    HTML

  6. AI-agent-framework AI-agent-framework Public

    A simple we-based app to visualize AI agents with respect to Autonomy • Efficacy • Goal-complexity • Generality. Based on work of Atoosa Kasirzadeh and Iason Gabriel

    HTML