How Minds Get Small: Cognitive Compression from Biology to SIML
Cognitive compression, predictive internal models, and the role of simulation in AI architecture.
TALKS, WORKSHOPS & CONVERSATIONS
Ideas are better
in conversation.
A growing collection of talks on intelligence, cognitive systems, engineering, and the human questions beneath the technology.
10 RECORDS IN THE COLLECTIONRICHARD EVERTS
10 records in the collection
The Art of Synthetic Data: Unity Perception for Dummies
A practical session on synthetic data and Unity Perception.
Large Language Models and Aging: Invited Symposium Participation
Invited participation in a research discussion of large language models and aging.
Are There Too Many Computer Scientists in AI?
An interdisciplinary discussion of the questions we ask about AI.
Psychedelics, Consciousness and the Modern Search for AGI — Part 1
A cross-disciplinary Lancaster AI discussion of consciousness and the search for general intelligence.
How Close Are We to Human Level AI?
A public talk examining the questions and assumptions behind human-level artificial intelligence.
Intro to Computer Vision
A community introduction to computer vision and AI.
Intro to Perceptrons and Neural Networks
An introductory session from the first Lancaster AI meetup.
Looking at YOLO v2
A Lancaster AI presentation examining YOLO v2 object detection.
The Real Reasons to Be Afraid of AI
A CPOSC presentation connecting AI risks with broader public questions.
BRING THE CONVERSATION TO YOUR EVENT
Speaking & collaboration.
Possible topics for a future talk or workshop. These are proposed themes, separate from the past events in the archive above.
Intelligence beyond the interface
Simulation, internal models, cognitive compression, and the questions that motivate embodied AI research.
From AI experiment to production
Retrieval, evaluation, observability, and the engineering decisions that connect prototypes to usable systems.
Technology and human agency
A perspective spanning assistive technology, documentary storytelling, philosophy, and the people affected by what we build.
SHORT SPEAKER BIO
Richard Everts is an AI researcher, software engineer, filmmaker, and author exploring intelligence and human agency. He leads Deep SIML Labs and previously led technical development at Bestie Bot. His work spans simulation, applied AI, The United States of Autism, and the books On Terran Liberty and Light Up the Grind.
Extended biography & experience