How do you want your AI to treat you? It’s a serious question, and it’s one that Sam Altman, OpenAI’s CEO, has clearly been chewing on since GPT-5’s bumpy launch at the start of the month. He faces a trilemma. Should ChatGPT flatter us, at the risk of fueling delusions that can spiral out of…
Within the past few years, models that can predict the structure or function of proteins have been widely used for a variety of biological applications, such as identifying drug targets and designing new therapeutic antibodies. These models, which are based on large language models (LLMs), can make very accurate predictions of a protein’s suitability for…
In 1943, while the world’s brightest physicists split atoms for the Manhattan Project, the American psychologist B.F. Skinner led his own secret government project to win World War II. Skinner did not aim to build a new class of larger, more destructive weapons. Rather, he wanted to make conventional bombs more precise. The idea struck…
Prompted in part by Apple’s paper about the limits of large language models (“The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity”), I spent some time playing with Tower of Hanoi. It’s a problem I solved some 50 years ago when I was in college, and…
Jay Alammar, director and Engineering Fellow at Cohere, joins Ben Lorica to talk about building AI applications for the enterprise, using RAG effectively, and the evolution of RAG into agents. Listen in to find out what kinds of metadata you need when you’re onboarding a new model or agent; discover how an emphasis on evaluation…
I’ve been thinking a lot lately about a species of carpenter ant that lives in the mountains around Jerusalem. These tiny insects might just hold the key to one of AI’s biggest challenges: alignment. The ants in question are called Camponotus sanctus, and they do something remarkable that puts our most sophisticated AI systems to…
Despite the promise of AIOps, the dream of fully automated, self-healing IT environments remains elusive. Generative AI tools may be the solution that finally abstracts away enough of the workload to get there. However, today’s reality is far more complex. Internet performance monitoring firm Catchpoint’s recent SRE Report 2025 found that for the first time…
The AI Frontiers article (reproduced below) builds on a previous Asimov Addendum article written by Tim O’Reilly, entitled: “Disclosures. I do not think that word means what you think it means.” I (Ilan) think it’s important to first very briefly go through parts of Tim’s original piece to help recap why we—at the AI Disclosures Project—care about protocols…
As I was waiting to start a recent episode of Live with Tim O’Reilly, I was talking with attendees in the live chat. Someone asked, “Where do you get your up-to-date information about what’s going on in AI?” I thought about the various newsletters and publications I follow but quickly realized that the right answer…
If you want to make the most of The Field We Now Call AI, look to trading. Specifically, the tech-driven sort. People who’ve read my other work, or who have had the misfortune of speaking with me one-on-one, have already heard this line. My long-running half-joke is that my AI consulting is based on best…