8 articles on machine learning.
Titans test-time memory adds a learnable long-term memory to AI models. Here’s how it works, what it changes, and what builders should watch.
The Free Transformer adds learned latent variables to decoder LLMs. Here’s how it works, what benchmarks show, and why builders should care.
Unitree G1 arm control gets practical as a small supervised model turns joint commands into directional motion—plus lessons for robot builders.
Automated AI red teaming is changing as LLM agents evolve attack algorithms. What Claudini means for AI security teams and builders.
What is JEPA? See how latent prediction avoids pixel-by-pixel generation—and why it matters for video, robots, and medical AI.
Evolution strategies for LLM fine-tuning are back. Learn how ES-at-Scale and EGGROLL challenge RL for outcome-based model training.
Looped transformers reuse layers to reason in latent space. Here’s why they matter, where they outperform CoT, and what still limits them.
Natural language autoencoders turn AI activations into text, giving builders a practical new way to audit model behavior and safety.