Technology

Reasoning in large language models is an important shift in artificial intelligence: from instant responses to deliberate problem-solving. How does the reasoning work? In what ways can this feature be implemented? What are its current limitations?

The most consequential near-term use of voice AI is companionship, not productivity. AI companionship is rapidly emerging as a transformative force, reshaping human relationships by offering emotionally responsive, ever-present, and personalized virtual partners.

This article was originally published at dliangthinks Generating realistic, believable speech is one of the harder problems in AI applications. Better speech synthesis improves user experience, but it also opens up uses across entertainment, customer service, and education. In this article, I’ll share some quick test results to show where things stand.

We are on the cusp of entering an exciting new era in the realm of writing, which I refer to as the third stage, AI-collaborated writing.

“We shape our tools and thereafter our tools shape us.” — Marshall McLuhan

“We shape our tools and thereafter our tools shape us.” — Marshall McLuhan

“We shape our tools and thereafter our tools shape us.” — Marshall McLuhan

“We shape our tools and thereafter our tools shape us.” — Marshall McLuhan

Rapidly, we approach the final phase of the extension of man—the technological simulation of consciousness, when the creative process of knowing will be collectively and corporately extended to the whole of human society, much as we have already extended our senses and nerves by the various media. - Marshal McLuhan