Geoffrey Hinton, Jensen Huang, and Fei-Fei Li were instrumental in launching the deep learning revolution, despite facing skepticism from colleagues, Timothy B. Lee writes. Hinton spent decades promoting neural networks and developed the backpropagation algorithm for training them efficiently, as detailed in Cade Metz’s book “Genius Makers.” Huang, CEO of Nvidia, recognized the potential of …
Generative AI is blurring the distinction between content and data, argues Robert Rose in an article for the Content Marketing Institute. As AI gains prevalence, companies will need people in new roles to guide how AI-generated insights are transformed into meaningful value rather than settling for “good enough” AI-produced content. Rose asserts that while AI …
Many recently announced “AI agents” are actually sophisticated automation systems, according to Brian Evergreen and Pascal Bornet writing for VentureBeat. True AI agents can research, reason, decide and act to achieve a goal with full autonomy, while automation simply follows predefined recipes when conditions are met. Identifying genuine agency requires looking at a system’s behavior …
I often see discussions about the purpose and benefits of AI tools revolve around whether or not they can completely do your job. The answer is often clear: no, they can’t. If you want, you can always find a way to make AI look stupid. In a way, this is even helpful: you should always …
Artificial Intelligence can be better understood through some basic principles of how it thinks and works. Large Language Models (LLM) essentially function like sophisticated text prediction systems that forecast the next word in a sentence based on vast amounts of data, explains Ethan Mollick in his 100th Substack post. These AI systems operate with limited …
Schools and universities are increasingly relying on AI detectors to check student work for AI use. According to one survey, about two-thirds of teachers use such tools regularly. As Jackie Davalos and Leon Yin report in Bloomberg Businessweek, at that scale, even low error rates can lead to a large number of false positives. The …
When discussing artificial intelligence, we must not lose sight of the term “artificial”. In my opinion, there is too much discussion about whether an AI like ChatGPT is “really intelligent”. But that’s not the point. To explain it with a comparison: Is an artificial rose the same as a real, natural rose? No, not at …
A Large Language Model, commonly abbreviated as LLM, is an advanced artificial neural network designed to understand, generate, and process human language. These models are termed “large” because they are trained on vast amounts of textual data and can contain billions of parameters. LLMs are capable of performing a wide range of tasks, including text …
Mixture of Experts (MoE) is a concept in artificial intelligence that can best be understood as a team of specialists. In this approach, a complex task is divided among multiple smaller, specialized models – the so-called “experts” – instead of using a single large model for everything. A central “gatekeeper” or “router” decides which expert …
Chain of Thought is a concept in artificial intelligence that describes the ability of AI systems to solve complex problems step-by-step, much like humans do. This method allows AI models to explain their thought processes in a way that humans can understand. Instead of just providing a final answer, the AI shows the individual steps …