New prediction model could improve the reliability of fusion power plants
Tokamaks are machines that are meant to hold and harness the power of the sun. These fusion machines use powerful magnets to contain a plasma hotter than the sun’s core and push the plasma’s atoms to fuse and release energy. If tokamaks can operate safely and efficiently, the machines could one day provide clean and limitless fusion energy. Today, there are a number of experimental tokamaks in operation around the world, with more underway. Most are small-scale research […]
How We Are Testing Our Agents in Dev
Testing that your AI agent is performing as expected is not easy. Here are a few strategies we learned the hard way. The post How We Are Testing Our Agents in Dev appeared first on Towards Data Science.
4 ways to refine your content in Flow
You’ll now get more creative control in Flow with new refinement and editing capabilities.
Three in ten U.S. teens use AI chatbots every day, but safety concerns are growing
While teenagers may start out using AI chatbots for basic questions, their relationship with chatbot platforms has the potential to turn addictive.
Amnesty International report details torture, abuse at immigration detention camps in Florida
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Cashew Research is going after the $90B market research industry with AI
Cashew Research uses AI to automate the market research process while still collecting real-world data from humans.
Announcing the initial People-First AI Fund grantees
The OpenAI Foundation announces the initial recipients of the People-First AI Fund, awarding $40.5M in unrestricted grants to 208 nonprofits supporting community innovation and opportunity.
Top 5 Open-Source LLM Evaluation Platforms
If you’re building an LLM app, these open-source tools help you test, track, and improve your model’s performance easily.
Jina AI Releases Jina-VLM: A 2.4B Multilingual Vision Language Model Focused on Token Efficient Visual QA
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 […]