AI

In this episode of Uncanny Valley, we talk about Meta’s recent investment in Scale AI and its move to build a superintelligence AI research lab. So we ask: What is superintelligence anyway?

Meta CTO Andrew “Boz” Bosworth and leaders from OpenAI and Palantir have joined a detachment intended to make the US Armed Forces “force leaner, smarter, and more lethal.”

College counselors in the US are too overworked to meet with every student. A new wave of specialized AI tools can learn students’ interests, then recommend schools, areas of study, and scholarships.

In recent years, the rapid advancement of artificial intelligence and machine learning (AI/ML) technologies has revolutionized various aspects of digital content creation. One particularly exciting development is the emergence of video generation capabilities, which offer unprecedented opportunities for companies across diverse industries. This technology allows for the creation of short video clips that can be

The AWS DeepRacer Student Portal will no longer be available starting September 15, 2025. This change comes as part of the broader transition of AWS DeepRacer from a service to an AWS Solution, representing an evolution in how we deliver AI & ML education. Since its launch, the AWS DeepRacer Student Portal has helped thousands

Modern generative AI model providers require unprecedented computational scale, with pre-training often involving thousands of accelerators running continuously for days, and sometimes months. Foundation Models (FMs) demand distributed training clusters — coordinated groups of accelerated compute instances, using frameworks like PyTorch — to parallelize workloads across hundreds of accelerators (like AWS Trainium and AWS Inferentia

A growing body of research attempts to put a number on energy use and AI—even as the companies behind the most popular models keep their carbon emissions a secret.

From writing code to testing the new Alexa+, Amazon engineers used generative AI throughout the build process. We talk to Amazon’s Daniel Rausch about the next version of the voice assistant.

Meetings play a crucial role in decision-making, project coordination, and collaboration, and remote meetings are common across many organizations. However, capturing and structuring key takeaways from these conversations is often inefficient and inconsistent. Manually summarizing meetings or extracting action items requires significant effort and is prone to omissions or misinterpretations. Large language models (LLMs) offer