New ‘Test-Time Training’ method lets AI keep learning without exploding inference costs

By allowing models to actively update their weights during inference, Test-Time Training (TTT) creates a "compressed memory" ...

AI Models Are Starting to Learn by Asking Themselves Questions

An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence ...
Morning Overview on MSN

How DeepSeek’s new training method could disrupt advanced AI again

DeepSeek’s latest training research arrives at a moment when the cost of building frontier models is starting to choke off ...
Tech Xplore on MSN

Reinforcement learning accelerates model-free training of optical AI systems

Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...

Tensor Unveils OpenTau ( ) at CES 2026, Introducing a Breakthrough Open-Source Training Platform for Physical AI

LAS VEGAS, Jan. 8, 2026 /PRNewswire/ -- At CES 2026, Tensor today announced the official open-source release of OpenTau ( ), a powerful AI training toolchain designed to accelerate the development of ...
The Indiana Gazette

Beginner-Friendly Guide to Training AI Models without the Jargon

Artificial intelligence is becoming a bigger part of our daily lives, and with that comes a growing curiosity about how it ...
Tech Xplore on MSN

AI models stumble on basic multiplication without special training methods, study finds

These days, large language models can handle increasingly complex tasks, writing complex code and engaging in sophisticated ...

Nous Research's NousCoder-14B is an open-source coding model landing right in the Claude Code moment

B, an open-source AI coding model trained in four days on Nvidia B200 GPUs, publishing its full reinforcement-learning stack as Claude Code hype underscores the accelerating race to automate software ...