Engineering
Writing Down the Line Between Luck and Skill
FINAL-Bench launched a live financial forecasting benchmark that scores entrants against a “luck ceiling” – the 95th-percentile return of 20,000…
Engineering
Introducing the EdgeFirst Model Zoo
EdgeFirst released a Model Zoo of YOLO object-detection and segmentation models, spanning YOLOv5 through YOLO26, validated across multiple edge hardware…
Engineering
Extremely Fast and Accurate Transcription with Granite Speech 5.0 Turbo CTC
IBM released granite-speech-5.0-470m-turboctc, a pair of compact, encoder-only speech recognition models built from a stack of 16 Conformer blocks with…
Engineering
TAVR: Generate Your Talking Avatar from Video Reference
Researchers introduced TAVR, a talking-avatar generation method that uses short video clips rather than a single reference image to preserve…
Opinions
AI Writing Has Already Begun to Appear on the Opinion Pages
A Semafor analysis found that AI-generated content remains rare in the opinion pages of The New York Times, The Wall…
Opinions
As AI Enters Sikh Life, Old Debates on Technology and Tradition Continue
Religion News Service reports that AI-generated Sikh devotional music, known as shabads, is circulating on YouTube, prompting renewed debate within…
Opinions
AI’s No Joke, What Next?
In a CounterPunch essay, Michael Albert argues that the race among major AI firms toward artificial general intelligence and superintelligence…
Opinions
War, China, Trump and AI Have Created Perma-Crisis
In a Bloomberg Opinion column, Hal Brands argues that the world is unlikely to settle into a stable equilibrium anytime…
Opinions
Keeping Curiosity in an AI World
In a guest commentary for The Baltimore Sun, retired psychologist Patricia Steckler argues that AI and search engines are eroding…
Engineering
WeMM-Embedding: WeChat’s Multi-Modal Embedding Technical Report
Tencent researchers describe WeMM-Embedding, a family of multimodal embedding models in 2B, 4B, and 9B parameter sizes trained through large-scale…
Engineering
AutoSaddler: Automatic Harness Optimization from Agent Execution Traces
Microsoft researchers present AutoSaddler, a framework that treats agent-harness improvement as an offline learning problem using failure-trace diagnosis, structured patch…
Engineering
On-Policy Self-Distillation in Diffusion Models
ByteDance Seed researchers present DiffusionOPSD, an on-policy self-distillation framework that converts image-level rewards into intermediate training targets for diffusion models.…