Practical reporting on AI systems, tools, and engineering execution.
Samsung’s Pyeongtaek campus is expanding memory fabs to meet AI-driven demand; three fabs run 24/7, a fourth is coming online, and a halted fifth was restarted when memory demand surged.
SRCoT introduces a modular Retrieve‑Reflect‑Revise loop that adds provenance labeling and gap marking to text generation, enabling local, inspectable outputs on edge hardware without claiming broader performance gains.
AFGG samples from a pretrained generator tilted by the acquisition function and embeds that tilt in a diffusion bridge to recover smooth gradients, letting a data-space surrogate incorporate domain kernels for discrete BO.
SPOT teaches a small drafter to predict which positions diffusion language models will commit next, enabling tree-based speculative proposals and coupled-noise verification to cut target passes and increase throughput without changing the target model.
The paper proposes mixing absorbing and uniform-mixing forward kernels with region-dependent corruption rates so context tokens are handled as uncertain during training and selectively noised at inference.
To protect the integrity of our editorial work, copying and redistribution of protected content are restricted. Please use the available sharing tools and review our Terms of Use.
Use the approved sharing options to reference this material.Developer mode detected. Respect intellectual engineering.
🚀 You've reached your limit of 2 post views in 1 hours. Sign in to unlock unlimited AI intelligence.
Sign InImage preview
