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AI got cheap enough that Duolingo’s most expensive plan may not survive it. I read the earnings call transcript and opened the app to see what is actually changing for learners.
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L'Italiano nel mondo
Introduction to HTML5
Umano Digitale
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Complexity Explorer is an online education platform that offers free, interactive courses and resources on complex systems research.
This tutorial is the second part of of Dr. Justin Grana's tutorial on game theory
Trace how life emerged from an abiotic world: early Earth chemistry and geology, prebiotic chemical space, essential features of modern life, evolution, and astrobiology.
Students will examine the formal mathematics for foundational computation proofs, as well as gain tools to analyze hard computational problems themselves.
Learn influenza mitigation strategies and pandemic forecasting, from the basic reproduction number to how the structure of contact networks shapes epidemic spread.
Survey where AI research actually stands: compare past and present predictions with reality, examine current machine learning approaches, and identify what is missing for genuine intelligence.
Examine why US policing of violent crimes like robbery, assault, and murder is biased against people of color, and how stereotypes shape split-second, life-or-death decisions.
Explore curricular resources from a complex systems summer school, covering socio-behavioral systems, intelligent systems, and ecosystems, and modeling approaches drawn from physics, biology, and social sciences.
Explore Open Science across the research cycle: reproducibility and replicability challenges, preregistration, open methods, materials and code, data sharing, preprints and open access publishing.
Follow short summaries of recent complex systems papers, covering when social learners impair collective performance, basins of attraction, and music as a complex system.
Explore how multicellular life arose: evolve "snowflake yeast" in the lab and track cluster size, programmed cell death, and the single-celled bottleneck's effect on selection.
Explore the question "What is complexity?" through the evolution of genetic, neural, linguistic, social, and cultural mechanisms that support memory and information processing.
Build the Sugarscape with Traders model step by step in Python with Mesa: agentize a landscape, code trader movement, trade rules, data collectors, and batch runs.
Explore the tools scientists use to understand complex systems: dynamics and chaos, fractals, information theory, genetic algorithms, cellular automata, networks, and scaling in biology and society.
Simple deterministic rules can behave randomly: study iterated functions, differential equations, bifurcations, the butterfly effect, universality, strange attractors, and pattern formation.
Measure fractal dimension with self-similarity and box-counting, fit power-law exponents to empirical data, and examine fat tails, metabolic scaling, and urban scaling.
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