ELIZA Source Code Recovered in New Book
A new book reveals the original source code for ELIZA, the pioneering chatbot, offering insights into its development and impact. The code was recovered from MIT Archives.
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A new book reveals the original source code for ELIZA, the pioneering chatbot, offering insights into its development and impact. The code was recovered from MIT Archives.
HUD denied FOIA requests seeking details on how AI tools shaped housing policy decisions, citing deliberative process privilege.
Several high-profile entrepreneurs are shifting focus to AI research, with Anthropic attracting figures like Tom Blomfield and Andrej Karpathy.
Nous Research, maker of Hermes agent, is finalizing a $1.5 billion valuation funding round led by Robot Ventures, with USV and other investors participating.
Singapore-based video-generation startup PixVerse announced its valuation has crossed $2 billion after raising $439 million in its Series C extension round.
Uber has added hotel bookings, boat rentals, and AI-powered shopping features to its app, with plans to gather more driving data through its AV Labs unit.
Apple’s Siri AI, available in iOS 27 beta, is now deeply embedded in the iPhone’s operating system, offering new capabilities like chatbot-style interactions and on-screen awareness.
Microsoft CEO Satya Nadella warns enterprises that using proprietary AI models risks exposing sensitive business data, as companies unknowingly share valuable insights with model providers.
OpenAI’s GPT-5.6 Sol, Terra, and Luna are now generally available on Amazon Bedrock, offering new capabilities for AI workloads with performance improvements and cost efficiency.
Turing Award winner Rich Sutton founded Oak Lab in Toronto to develop AI agents that learn continuously from their environment, according to thedecoder.
OpenAI has released a user-focused prompting guide that emphasizes simplicity and efficiency over complex instructions. The guide advises users to start with the result rather than detailed step-by-step processes.
Anthropic's new research reveals a hidden 'J-space' within AI models that influences their reasoning, offering deeper insight into how they process information.