Archive

AI Safety

AI safety focuses on developing and using artificial intelligence systems in ways that reduce errors, harm and unintended risks. It includes evaluation, alignment, testing, transparency, human oversight and responsible deployment.

1 min read

What Is GPT? A Simple Guide to OpenAI’s Model Family

GPT is OpenAI’s family of AI models for language, reasoning, coding, multimodal tasks, and tool use. Learn how the family works, where it is used, and its limitations.

2 min read

What Is Qwen? A Simple Guide to Alibaba’s AI Model Family

Qwen is Alibaba Cloud’s family of AI models for language, reasoning, coding, vision, audio, tool use, and agentic applications. This guide explains its main capabilities, access options, strengths, and limitations.

2 min read

Meta: The Company Behind the Llama Model Family

A factual guide to Meta, its history, leadership, products, Llama model family, strengths, limitations, governance, and material risks.

2 min read

xAI: The Company Behind the Grok Model Family

Learn about xAI, the company behind Grok, including its products, infrastructure, strengths, risks, and current status following its acquisition by SpaceX.

3 min read

Demis Hassabis

Demis Hassabis is a British AI researcher and the co-founder and CEO of Google DeepMind. Learn about his career, projects such as AlphaGo and AlphaFold, and his role in applying artificial intelligence to scientific discovery.

3 min read

Narrow AI vs General AI: What Is the Difference and Why It Matters

What separates Narrow AI from Artificial General Intelligence? This comparison explains their capabilities, adaptability, practical uses and why excellence at one task does not prove that a system has reached AGI.

5 min read

What Is Anthropic? The AI Company Behind Claude

Anthropic is the American AI company behind Claude and its model family. Learn about its history, products, safety research, governance and Constitutional AI approach.