In the 1960s an MIT professor named Joseph Weizenbaum created a chatbot called ELIZA. The conversations people had with it set precedents for the chatbots to come.

Overview:  Compares the leading Python frameworks for building autonomous AI agents in 2026.Explains where LangGraph, CrewAI, Microsoft Agent Framework, Go ...

OpenAI launched ChatGPT Work, a new AI agent that connects to email, Slack, calendars and GitHub to automate work tasks ahead ...

Google fixed Rogue Agent, a Dialogflow CX Code Blocks flaw that could let one writable agent affect every chatbot in a Cloud ...

Warning: This graphic requires JavaScript. Please enable JavaScript for the best experience. President Donald Trump and other conservatives have accused artificial ...

A developer went viral for reconfiguring Chipotle’s customer support bot into a coding assistant, and providing the playbook for others to do the same to other chatbots. Reading time 4 minutes After ...

June 3 (Reuters) - An Instagram hack that saw attackers talk Meta's (META.O), opens new tab AI support chatbot into handing over access to high-profile accounts has exposed a critical flaw at the ...

Instagram has resolved a security issue that allowed several users’ accounts to get hacked. The attack appeared to rely on tricking Meta’s own AI-powered support chatbot into granting access to a ...

Meta’s AI support chatbot proved unusually helpful to hackers looking to steal and resell notable Instagram accounts—the hackers simply asking the bot to change the accounts’ associated email ...

Trying to remove your personal information from the internet, and out of AI's training data, can be like "trying to remove pee from a pool," one expert said. Corin Cesaric-Epple is an Editor at CNET ...

Chatbots like ChatGPT are powerful because of their simplicity: Ask just about anything and you’ll get an answer. But the answer you get depends on a lot more than what you type. Behind the scenes, ...

Compare ChatGPT, Gemini, Copilot, Claude, Perplexity, Grok, DeepSeek, and Meta AI by strengths, use cases, integrations, and limits. There was a time when chatbots were clunky customer service tools ...