AI

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 […]

On this episode of Uncanny Valley, we dig into WIRED’s latest—from crude deportation memes to GPT-5’s negative reception.

Between homeschool provisions in the One Big Beautiful Bill and Trump’s attempts to gut the Department of Education, teaching kids looks different now. Silicon Valley’s answer? Microschools.

From calculators to ChatGPT, the introduction of new technology into schools has long inspired frenzied discourse: Will it revolutionize the system or rot kids’ brains? It often does neither.

Since the start of the AI boom, teachers have been tasked with figuring out if LLMs are helpful tools or a cheat code. This is how they’re bringing AI to their curricula.

Parents, teachers, and experts have big opinions about the impacts of AI on young people and education. But what do the students themselves say?

For years, smartphones and computers have threatened to erase writing by hand. Would that be so bad?

Artificial intelligence software is designing novel experimental protocols that improve upon the work of human physicists, although the humans are still “doing a lot of baby-sitting.”

This week on Uncanny Valley, we talk about one of the most notorious American corporations. So what does Palantir actually do?

To fulfill their tasks, AI Agents need access to various capabilities including tools, data stores, prompt templates, and other agents. As organizations scale their AI initiatives, they face an exponentially growing challenge of connecting each agent to multiple tools, creating an M×N integration problem that significantly slows development and increases complexity. Although protocols such as