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

DeepSeek’s latest training research arrives at a moment when the cost of building frontier models is starting to choke off competition. Instead of chasing ever larger clusters, the company is betting ...

The CP2K open-source package is among the top three most widely used research software suites worldwide for simulating the ...

Google researchers introduce ‘Internal RL,’ a technique that steers an models' hidden activations to solve long-horizon tasks ...

With rapid changes in all aspects of business, maybe safety organizations should take this opportunity to re-evaluate the effectiveness of their safety training. One reason this might be an ideal time ...

Research shows that compliance-focused safety training alone rarely delivers lasting risk reduction, prompting calls for ...

Foams were once thought to behave like glass, with bubbles frozen in place at the microscopic level. But new simulations ...

AI systems now operate on a very large scale. Modern deep learning models contain billions of parameters and are trained on large datasets. Therefore, they produce strong accuracy. However, their ...

You're currently following this author! Want to unfollow? Unsubscribe via the link in your email. Follow Lee Chong Ming Every time Lee Chong Ming publishes a story, you’ll get an alert straight to ...

Research team debuts the first visual pre-training paradigm tailored for CTR prediction, lifting Taobao GMV by 0.88% (p < ...

Large language models have grown so vast and complex that even the people who build them no longer fully understand how they work. A single modern ...

Worried about AI that always agrees? Learn why models do this, plus prompts for counterarguments and sources to get more ...