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Andrew Ng: Training Recipes Won't Get Us To General Intelligence
"A lot of what looks like intelligence today was painfully engineered into the data."...
DeepSeek Releases mHC Framework for Stable and Scalable LLM Training
DeepSeek researchers have introduced Manifold-Constrained Hyper-Connections (mHC), a novel framework designed to address critical inst...
The ascent of the AI therapist
As the world grapples with a mental health crisis, AI therapists are emerging as a potential tool to fill gaps in mental health care. ...
AI Wrapped: The 14 AI terms you couldn’t avoid in 2025
In 2025, the AI landscape was dominated by buzzwords that encapsulated the rapid evolution and transformative impact of artificial intelligence. From ...
AprielGuard: A Guardrail for Safety and Adversarial Robustness in Modern LLM Systems
AprielGuard emerges as a pivotal solution for enhancing the safety and adversarial robustness of Large Language Models. Developed by Hugging Face in c...
How social media encourages the worst of AI boosterism
The intersection of social media and artificial intelligence has amplified a phenomenon known as AI boosterism, where exaggerated claims about AI adva...
Python Typing Survey 2025: Code Quality and Flexibility As Top Reasons for Typing Adoption
The 2025 Typed Python Survey reveals a growing shift in the Python community towards adopting typing for enhanced code quality and fle...
DrP: Meta's Root Cause Analysis Platform at Scale
Meta's DrP platform revolutionizes incident investigation by automating root cause analysis, thus reducing the mean time to resolve in...
Tokenization in Transformers v5: Simpler, Clearer, and More Modular
Hugging Face introduces the latest version of its Tokenizers library: Transformers v5, which emphasizes simplicity, clarity, and modularity. This upda...