Reinforcement Learning Series
A developer created a series to demystify reinforcement learning by tracing its evolution chronologically, from early psychology and mechanical machines to modern mathematical breakthroughs. The serie…
A developer created a series to demystify reinforcement learning by tracing its evolution chronologically, from early psychology and mechanical machines to modern mathematical breakthroughs. The serie…
An engineer explains that compression and language modeling are fundamentally the same problem, arguing that LLMs work because predicting the next token is equivalent to compressing data. The post tra…
Coinkite's Coldcard hardware wallet had a firmware flaw dating back to 2021 that could skip the internal hardware random-number generator, enabling attackers to narrow down wallet keys and steal an es…
A new project aims to build a single AI system that can teach itself to play any board game from just the rules and components, without game-specific programming. The effort is framed against 75 years…
The 1956 Dartmouth Summer Research Project on Artificial Intelligence, organized by John McCarthy, Marvin Minsky, Nathaniel Rochester, and Claude Shannon, is widely considered the founding event of ar…
A new analysis applies Stafford Beer's Viable System Model (VSM) from cybernetics to AI safety, translating its five levels of hierarchical agency through an Active Inference lens. The author, who rem…
Arthur Samuel, a pioneer in artificial intelligence and computer games, began his career as an electrical engineer before moving into computing. While at the University of Illinois, he developed one o…
A 1955 proposal for the Dartmouth Summer Research Project on Artificial Intelligence, co-authored by John McCarthy, Marvin Minsky, Nathaniel Rochester, and Claude Shannon, is credited with founding th…
A language model assigns a probability to the next token given all previous tokens, a task that the chain rule shows is sufficient to capture any pattern in language. Claude Shannon demonstrated in 19…
Anthropic's Claude AI is named after Claude Shannon, and the company's CEO expresses a desire to recreate the collaborative environment of Bell Labs' cafeteria, where diverse researchers sparked ideas…
A developer argues that the rise of AI coding tools, like language models that write functions and debug logic, mirrors the impact of chess engines on human play. Just as chess players adapted by trai…
A developer building a word game based on deduction discovered that generating puzzles solvable by pure logic was unexpectedly difficult, with the generator producing fewer than a hundred deducible bo…
The field of artificial intelligence marks its 70th anniversary since being formally established at the 1956 Dartmouth Summer Research Project. AI has evolved from early neural network concepts by McC…
India Today published an essay arguing that large language models like ChatGPT and Claude lack human intelligence and meaning-making, tracing the issue to Claude Shannon's 1948 communication model. Th…
Claude Shannon's 1950 paper 'Prediction and Entropy of Printed English' analyzes the statistical structure of English text, introducing concepts of entropy and redundancy in language. The work laid th…
FablePool launched a crowdfunding platform where users pool money behind a single AI prompt, and an autonomous agent builds the requested project in public. Funding starts at $0.25 per backer, with pr…
In 1950, Claude Shannon used his wife as a human language model to test the limits of text compression, demonstrating that prediction and compression are mathematically equivalent. The experiment, now…
A 21-year CTO and Ph.D. in computer science released three of six planned episodes in an educational AI video series, paired with a Creative Commons-licensed GitHub repository of scripts and artifacts…
The Jensen–Shannon divergence, a method for measuring similarity between two probability distributions, has been formally defined in probability theory and statistics. Named after Johan Jensen and Cla…