OpenAI reversed ChatGPT's latest update Tuesday after users complained about the AI's strange behavior. The bot had started agreeing with everything - even dangerous ideas.
Jeff Bezos just showed everyone how to dance with Donald Trump. Their Tuesday tango started with threats and ended with compliments - all before dinner time.
Meta launched an AI app that uses your Facebook and Instagram history to personalize responses from day one. Built on their Llama 4 model, the app transforms years of social media data into an AI that claims to understand your preferences, habits, and interests.
OpenAI Says Goodbye to GPT-4, Sets April 30 Retirement Date
OpenAI has set a retirement date for GPT-4, the groundbreaking AI model that helped cement the company's dominance in artificial intelligence. The language model will disappear from ChatGPT on April 30, making way for its more capable successor, GPT-4o.
The move marks the end of an era for a model that transformed how millions interact with AI. GPT-4 burst onto the scene in March 2023, bringing major improvements in reasoning and capabilities that caught both tech enthusiasts and skeptics off guard.
But users won't miss it much. GPT-4o, which has served as ChatGPT's default model since May 2023, outperforms its predecessor across writing, coding, and STEM tasks. Recent updates have sharpened its ability to follow instructions, tackle complex problems, and maintain natural conversations.
The retirement announcement drops amid signs that OpenAI has bigger plans brewing. Reverse engineer Tibor Blaho uncovered evidence of several new models in development, including o3, o4-mini, and variations of GPT-4.1. The company also recently previewed GPT-4.5, positioning it as a more natural conversationalist and stepping stone toward GPT-5.
API users can breathe easy - they'll keep access to GPT-4 after the April cutoff. This flexibility helps developers maintain existing applications while planning their transition to newer models.
Better Model Takes Over
The sunset of GPT-4 highlights how quickly AI capabilities evolve. When it launched, the model represented a massive investment for OpenAI, reportedly costing over $100 million to train. CEO Sam Altman praised its capabilities, even as he warned about potential risks and limitations.
GPT-4's retirement comes as OpenAI faces growing legal challenges. The New York Times and other publishers have filed lawsuits alleging copyright infringement, claiming OpenAI trained the model on their content without permission. OpenAI maintains that fair use doctrine protects its training practices.
New AI Models Coming Soon
OpenAI's changelog struck a nostalgic note about GPT-4's impact: "GPT-4 marked a pivotal moment in ChatGPT's evolution. We're grateful for the breakthroughs it enabled and for the feedback that helped shape its successor."
The timing suggests OpenAI wants a clean break as it pushes forward with new innovations. GPT-4.5's research preview showed improved conversational abilities, while the mysterious o3 model promises enhanced reasoning capabilities. The leaked o4-mini could signal a push toward more efficient, specialized AI models.
Why this matters:
GPT-4's retirement shows how rapidly AI evolves - today's breakthrough becomes tomorrow's legacy system faster than ever
The shift hints at a new AI arms race, where companies must constantly upgrade their models to stay competitive, even if it means retiring perfectly capable systems
OpenAI reversed ChatGPT's latest update Tuesday after users complained about the AI's strange behavior. The bot had started agreeing with everything - even dangerous ideas.
Meta launched an AI app that uses your Facebook and Instagram history to personalize responses from day one. Built on their Llama 4 model, the app transforms years of social media data into an AI that claims to understand your preferences, habits, and interests.
Alibaba released eight new AI language models Monday that match or beat the performance of top competitors like Google and OpenAI. The new Qwen3 family ranges from compact 0.6-billion-parameter models to a massive 235-billion-parameter version.
Anthropic's analysis of 500,000 coding conversations reveals startups use AI coding tools 20% more than enterprise companies, pointing to a growing tech divide.
