RADAR is a generalist vision-language model trained on over 400,000 contrast-enhanced abdominal CT examinations with 15 million image-text pairs, achieving expert-level performance for radiology diagnosis without manual annotation. The model is available with pre-trained checkpoints on HuggingFace and is released under the Apache License 2.0.
Stripe data reveals AI startups face disproportionately high fraud rates, with attempted transaction fraud up to 4.3x higher than other startups and a 40% increase in multi-account abuse attempts over six months. Fraudulent actors target AI companies because their compute resources are valuable and easily resold, prompting companies to adopt fraud prevention tools like Stripe Radar.
Radar is a tool that helps software makers find Reddit threads where potential customers discuss problems their product could solve. It generates ready-to-post replies based on the user's website, respects community rules, and requires manual posting to avoid account bans.