AI

Building natural voice conversations with AI agents requires complex infrastructure and lots of code from engineering teams. Text-based agent interactions follow a turn-based pattern: a user sends a complete request, waits for the agent to process it, and receives a full response before continuing. Bi-directional streaming removes this constraint by establishing a persistent connection that […]

The influential progressive third party announced Thursday that it was putting out a recruitment call for candidates specifically opposed to data centers.

The director of Deepfaking Sam Altman created a “Sam Bot” when he couldn’t get an interview with the OpenAI CEO. Watch an exclusive trailer for the documentary, which comes out in January.

Most languages use word position and sentence structure to extract meaning. For example, “The cat sat on the box,” is not the same as “The box was on the cat.” Over a long text, like a financial document or a novel, the syntax of these words likely evolves.  Similarly, a person might be tracking variables

In this episode of Uncanny Valley, we bring you our conversation with Jon M. Chu from WIRED’s Big Interview event, fresh on the heels of directing Wicked: For Good.

Why did humans evolve the eyes we have today? While scientists can’t go back in time to study the environmental pressures that shaped the evolution of the diverse vision systems that exist in nature, a new computational framework developed by MIT researchers allows them to explore this evolution in artificial intelligence agents. The framework they

Building custom foundation models requires coordinating multiple assets across the development lifecycle such as data assets, compute infrastructure, model architecture and frameworks, lineage, and production deployments. Data scientists create and refine training datasets, develop custom evaluators to assess model quality and safety, and iterate through fine-tuning configurations to optimize performance. As these workflows scale across

A user can conduct machine learning (ML) data experiments in data environments, such as Snowflake, using the Snowpark library. However, tracking these experiments across diverse environments can be challenging due to the difficulty in maintaining a central repository to monitor experiment metadata, parameters, hyperparameters, models, results, and other pertinent information. In this post, we demonstrate

An online marketplace is selling code modules that simulate the effects of cannabis, ketamine, cocaine, ayahuasca, and alcohol when they are uploaded to ChatGPT.

Initial participants in the new Apple Manufacturing Academy tell WIRED that the tech giant’s surprising frankness and hands-on support are already benefiting their bottom lines.