Learn how OpenAI’s new certifications and AI Foundations courses help people build real-world AI skills, boost career opportunities, and prepare for the future of work.
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The letter demanded companies institute new safeguards to keep users safe from harmful psychological impacts.
Here are Google’s latest AI updates from November 2025
A 65-year-old retired doorman in Queens is heading to prison next month — not for killing his attacker in self-defense, but for possessing the unlicensed firearm that saved his life. lead , In a recent op-ed titled He Held the Door for Years, But the Court Slammed One on Him, Cato scholar Mike Fox details how American juries have strayed from the founders’ intent of being the community’s conscience, in part writing: , “We have replaced community conscience with […]
Google DeepMind and UK AI Security Institute (AISI) strengthen collaboration on critical AI safety and security research
Computer-Aided Design (CAD) is the go-to method for designing most of today’s physical products. Engineers use CAD to turn 2D sketches into 3D models that they can then test and refine before sending a final version to a production line. But the software is notoriously complicated to learn, with thousands of commands to choose from. To be truly proficient in the software takes a huge amount of time and practice. MIT engineers are looking to ease CAD’s learning […]
Unveiling what it describes as the most capable model series yet for professional knowledge work, OpenAI launched GPT-5.2 today. The model was trained and deployed on NVIDIA infrastructure, including NVIDIA Hopper and GB200 NVL72 systems. It’s the latest example of how leading AI builders train and deploy at scale on NVIDIA’s full-stack AI infrastructure. Pretraining: The Bedrock of Intelligence AI models are getting more capable thanks to three scaling laws: pretraining, post-training and test-time scaling. Reasoning models, which […]
Jina AI has released Jina-VLM, a 2.4B parameter vision language model that targets multilingual visual question answering and document understanding on constrained hardware. The model couples a SigLIP2 vision encoder with a Qwen3 language backbone and uses an attention pooling connector to reduce visual tokens while preserving spatial structure. Among open 2B scale VLMs, it reaches state of the art results on multilingual benchmarks such as MMMB and Multilingual MMBench. https://arxiv.org/pdf/2512.04032 Architecture, overlapping tiles with attention pooling connector […]
How to upgrade and optimize legacy AI/ML models The post On the Challenge of Converting TensorFlow Models to PyTorch appeared first on Towards Data Science.