AI’s Roadblock: Transformers Aren’t Good at Generalizing

AI’s Roadblock: Transformers Aren’t Good at Generalizing

Business

Researchers from Google have revealed that transformers, a technology powering AI tools like ChatGPT, struggle with generalizing and performing tasks beyond their training data. This poses a challenge for achieving artificial general intelligence (AGI), as AI currently lacks the capacity to transfer skills across domains like humans. The study has prompted a reevaluation of the capabilities of large language models (LLMs) and the need to temper expectations of imminent AGI. Despite the limitations, some experts remain optimistic about the future role of AI models.

OpenAI Changes Core Values on Career Page

OpenAI Changes Core Values on Career Page

Business

OpenAI has quietly modified its core values on the company’s careers page. The updated values prioritize AGI focus, being intense and scrappy, scaling, making something people love, and fostering team spirit. Some previously mentioned traits are integrated into the new values, while others lack a clear replacement. OpenAI’s dedication to AGI is evident in the introduction of the AGI focus as a core value. Founded in 2015, OpenAI aims to revolutionize AI and is projected to achieve $1 billion in sales by August 2024.

OpenAI’s Changing Core Values and Focus on AGI

OpenAI’s Changing Core Values and Focus on AGI

Technology

OpenAI recently updated its core values to include a focus on artificial general intelligence (AGI), a shift that wasn’t explicitly listed before. However, inconsistencies in the definition of AGI by OpenAI’s CEO raises questions about the company’s vision and capabilities. OpenAI’s goals and purpose have also evolved over time, contributing to changes in core values and self-descriptions. The updated core values emphasize a commitment to building safe and beneficial AGI for the betterment of humanity’s future.