Kimi K2.7-Code cuts thinking tokens 30% — but practitioners say the benchmarks don't check out

Kimi K2.7-Code claims 30% fewer thinking tokens and a drop-in API swap path, but independent benchmarks show kernel regressions and no DeepSWE submission.
Hackaday

MicroPython Is This Summer’s Hottest Title For The SNES, Thanks To Claude Fable

MicroPython, for the uninitiated, is a pared-down version of python meant to run on today’s powerful microcontollers. As ...
XDA Developers on MSN

I used Meta Llama 4, Qwen 3-Coder and Gemma 4 to develop a Python app, and only one model is worth keeping for developers

Putting some of the best local models to the development test ...
GitHub

ARDY: Autoregressive Diffusion with Hybrid Representation for Interactive Human Motion Generation

ARDY is an autoregressive diffusion model designed for interactive motion generation, supporting online text prompting and flexible long-horizon kinematic constraints (root paths/waypoints, full-body ...
GitHub

Are CLIP features all you need for Universal Synthetic Image Origin Attribution?

Trust What You learN (TWYN) Workshop of ECCV 2024. Abstract: The steady improvement of Diffusion Models for visual synthesis has given rise to many new and interesting use cases of synthetic images ...
lablab

AMD Developer Hackathon: ACT II

To participate in the hackathon, simply click Sign up with AMD. If you are not already a member of the AMD AI Developer Program (ADP), you will need to create an account. ADP members can access AI ...