Learn how to deploy Large Language Models (LLMs) on Android devices using TensorFlow Lite.

Brazil’s government has launched a $4 billion plan to develop homegrown AI models across public sectors.

Are AI tools becoming our new digital companions? Exploring how generative AI shapes our daily lives, from polite interactions to remote work.

In 1977, a BASIC version of ELIZA captivated personal computer users, spreading AI curiosity during the PC explosion, while the original MAD-SLIP ELIZA faded.

Explore how in an ironic twist ELIZA's Lisp adaptation overshadowed its original intent as a research platform, leading to widespread misinterpretation.

Discover ELIZA’s true role as a research platform for studying human-machine interaction, revealing its deeper purpose beyond being a simple chatbot.

Explore how recursion, lists, and graph theory relate to interpretation in AI.

Explore how interpretation, a key aspect of cognitive science, influences both human and AI understanding.

Explore Weizenbaum's 1962 paper on gomoku and how it critiques AI's potential to create an illusion of intelligence.

Explore the development of SLIP & Lisp and how these early AI programming languages shaped modern computing.

Discover how the IPL programming language, created by Newell, Shaw, and Simon, laid the foundation for early AI development.

Explore how Turing and Lovelace shaped the early foundations of AI, from the Turing Machine to symbolic computing, setting the stage for innovations like ELIZA.

The world's first chatbot, ELIZA, wasn't built to be a chatbot. Learn what its creator, Weizenbaum, designed it for.

ELIZA, created by Joseph Weizenbaum, was never meant to be a chatbot. Learn how this research tool’s accidental release shaped the AI world for decades.

This paper acknowledges the key contributors in the development of ELIZA, including the significant support from MIT Archivists and research team members.

ELIZA, designed to study human interaction with AI, instead became a symbol of AI misinterpretation, highlighting dangers of attributing machine intelligence.

Explore the rise of multimodal AI, a new frontier in artificial intelligence that integrates text, images, audio, and video for a more holistic approach.

OpenAI is about lying about scaling laws and the future of AI is a lot less certain than Sam Altman is saying publicly.

Anthropic CEO, Dario Amodei talked about his predictions with Lex Fridman: Expect AGI by 2027, Scaling works, AI safety, Mechanistic Interprability (mind of AI

The AI topic has been thrashed over and over again—this company launches a new AI model, that company unveils a generative AI bot. Time for something new?