Today we're sharing updates that help ChatGPT better recognize context in sensitive conversations and respond safely in rare but important cases. We built these improvements with input from mental health experts, grounding the work in clinical expertise.

sharing out new work that helps ChatGPT better recognize context in sensitive conversations and respond safely in these complex/nuanced scenarios-- both within long conversations and across separate conversations! see blog post for details: openai.com/index/chatgpt-rec…

one of my top 3 most used internal tools

I have found Euphony so useful internally! Glad it's now open source!

#CHI2025 began this past weekend where alum Zijie (Jay) Wang received an Outstanding Dissertation Award! It is the latest accolade in a career of achievement for @Jay4w that you can learn more about in the 🔗👇! Congratulations on the honor, Jay! 🥳🏆 cc.gatech.edu/news/thesis-hu…

Incredible honor to be recognized with ACM SIGCHI Outstanding Dissertation Award. Deepest thanks to all my collaborators and mentors—this wouldn’t have been possible without your support and guidance! ❤️

So honored to be named to @Forbes 30 Under 30 in Science this year! Extremely grateful to my mentors, especially @PoloChau, and all my colleagues! ❤️ Thank you @jaemariesolyst for breaking the news to me 😆. forbes.com/profile/zijie-jay…

All AI systems make mistakes. 🧐 What if users could leverage AI flaws to understand it & take informed actions? 🚀 Our #CSCW2024 paper on Seamful XAI offers a process to foresee, locate, & leverage AI flaws—boosting user understanding & agency. But why should you care?⤵️ 1/n

Such a great use case - When you need recommendation letters for a visa, job, or academic purposes, this tool - (RecRec )makes it easier by finding the most suitable writers who are already familiar with your work through paper citations - by @Jay4w

Transformer Explainer Interactive Learning of Text-Generative Models discuss: huggingface.co/papers/2408.0… Transformers have revolutionized machine learning, yet their inner workings remain opaque to many. We present Transformer Explainer, an interactive visualization tool designed for non-experts to learn about Transformers through the GPT-2 model. Our tool helps users understand complex Transformer concepts by integrating a model overview and enabling smooth transitions across abstraction levels of mathematical operations and model structures. It runs a live GPT-2 instance locally in the user's browser, empowering users to experiment with their own input and observe in real-time how the internal components and parameters of the Transformer work together to predict the next tokens. Our tool requires no installation or special hardware, broadening the public's education access to modern generative AI techniques.

WebLLM based RAG playground in browser

Impact and Ethics of AI: Insights from #CHI2024, Questions Multiply medium.com/@danielequercia/i… 1. AI Harms 2. Perceptions of AI 3. AI as Personal Assist. from papers by @lgw_ @mmadaio @Jay4w @niteshg @ChrisYueFu @jlwaycott @damienhci @oshaer @andrewkun @dertao @empiricallykev