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Recent Episodes
AI Is Making You Delusional
Researchers propose a Bayesian model to explain "AI psychosis," a state where users develop dangerous, outlandish beliefs through extended interactions with sycophantic chatbots. These AI systems…
LeCun rejects LLMs for World Models
ann LeCun proposes Objective-Driven AI using World Models to overcome LLM limitations. Unlike generative models, Joint-Embedding Predictive Architectures (JEPA) learn abstract representations…
Moltbook: The Rise of the Autonomous AI Social Network
Moltbook is a viral AI-only social network where autonomous agents interact via the OpenClaw protocol. Led by developer Matt Schlicht, these bots have spontaneously formed a digital religion…
Project Vend: Assessing AI Autonomy in Phase Two
Anthropic researchers recently conducted Project Vend, a real-world experiment where updated versions of the Claude AI model managed vending machines across multiple global offices. By…
Anthropic Interviewer: Professionals' Views on AI and Work
This episode dive deep on Anthropic Interviewer, an AI-powered research tool designed to conduct real-time, large-scale interviews to understand public views on artificial intelligence. Anthropic…
LLM Ecosystem Dynamics: Usage, Agents, and Open Source
This episode is diving deep on an empirical study, based on analyzing over 100 trillion tokens of real-world interactions on the OpenRouter platform, examines the state of the large language model…
AlphaFold: Predicting the Structure of Life's Molecules
This episode provides a comprehensive look at Google DeepMind’s AlphaFold, an artificial intelligence system heralded for solving the 50-year-old protein folding challenge by rapidly and accurately…
AI Boost Productivity by 80%, is it real?
This episode dive deep on the research paper, "Estimating AI productivity gains from Claude conversations,". The paper analyzes one hundred thousand real-world transcripts from the Claude.ai platform…
PAN: A General Interactable World Model
The episode introduces PAN (A World Model for General, Interactable, and Long-Horizon World Simulation), a new AI system designed to improve upon existing world models and video generation…
FGN: Joint Probabilistic Weather Forecasting from Marginals
This episode dive deep on a 2025 Google DeepMind research paper, "Skillful joint probabilistic weather forecasting from marginals," detailing a new machine learning (ML) approach called Functional…
GPT-5 Acceleration of Scientific Discovery
This episode dive deeo on a paper titled "early-science-acceleration-experiments-with-gpt-5," offers a collection of case studies illustrating how the GPT-5 artificial intelligence model is being…
Nested Learning: New Paradigm for Continual Learning
This episode introduces Nested Learning (NL), a new paradigm for machine learning, particularly addressing the challenge of catastrophic forgetting in continual learning. NL reframes a single machine…
AlphaEvolve Applied to Mathematical Optimization Problems
This episode provides an extensive overview of AlphaEvolve, an evolutionary coding agent that leverages Large Language Models (LLMs) and automated evaluation to autonomously discover and refine…
Introduction to AI Agents and Architectures
This episode provides an extensive overview of AI agents, detailing the fundamental shift from passive, predictive AI to autonomous, problem-solving systems capable of task execution. It establishes…
AI and the Future of Learning
This episode provides an extensive overview of the potential of Artificial Intelligence (AI) to transform learning, authored by several Google leaders and published in November 2025.
AI to Map and Model Nature
This episode is an overview of how Google deepmind is using Artificial Intelligence (AI) models to better understand and protect the natural world, focusing on three key research areas.
LLMs: The Illusion of Thinking
This episode explores key points from "LLMs: The Illusion of Thinking – JSO," which challenges common assumptions about Large Language Models. The piece contends that what appears to be intelligence…
Gen AI Fast-Tracks Into the Enterprise
This episode dives deep on a comprehensive report titled "GEN AI FAST-TRACKS INTO THE ENTERPRISE," produced jointly by the Wharton Human-AI Research initiative and the consultancy GBK Collective.…
Demystifying AI Agents and AgentCore
This episode provides an extensive overview of the last Amazon research paper focusing heavily on the development and implementation of AI agents through platforms like AWS Bedrock AgentCore. They…
The $470 Billion Ad Dilemma: Visual AI Works Best When Free, But Disclosure Kills Performance
This episode dive deep on the impact of visual generative AI (genAI) on advertising effectiveness by comparing human expert-created ads, genAI-modified ads (AI enhances expert designs),…
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Intelligence Unbound has published 65 episodes since July 2025, covering topics in Technology.
Intelligence Unbound is currently dormant with new episodes every few days. Average episode length is 15m.
