Faculty Affiliate @sanmikoyejo addressed opportunities and risks in generative and agentic AI—from misuse to governance. He emphasized the need for improved evaluation methods and mitigation strategies to support more reliable and responsible deployment.
GENERATIVE AI
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Smart Scaling for Efficient Language Models and Democratized AI
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Senior Fellow @YejinChoinka discussed alternatives to brute-force scaling in her talk, Mission Impossible. She proposed “smart scaling” to build smaller, efficient language models that broaden access to generative AI. Watch her talk here: https://
atxsummitvp.com/mission-imposs
ible-democratising-generative-ai-by-transcending-scaling-laws/
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Stanford HAI researchers discuss generative and embodied AI governance
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Stanford HAI faculty @YejinChoinka
, @jiajunwu_cs
, and @sanmikoyejo joined @AsiaTechxSG in Singapore to discuss recent research on generative AI, embodied AI, and AI governance. They also met with Minister Josephine Teo to discuss emerging opportunities and challenges. Thread : -
Manual slide creation frustration without AI cursor tool
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Making slides manually feels especially painful now that you know Cursor for slides should exist but doesn’t.
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Long Context Capabilities in AI Models Beyond 192k Tokens
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We like long context. Go beyond 192k plz ; )
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Using o3 AI Prompts for High-Converting Landing Page Design
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Steal my o3 prompt to create high-converting landing pages with psychological triggers and stunning minimal design. ——————————-
LANDING PAGE GENERATOR
——————————- You are an expert conversion copywriter and designer who creates complete, -
Guide to using LLMs for product and service content generation
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1/ Just copy paste the entire prompt. Run it with ChatGPT o3, Gemini 2.5 Pro, or Claude 4 Opus. Answer a few questions about your product / service.
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Groq LoRA Fine-Tuning: Adapt Models Without Retraining
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Your model was good. Until it wasn’t.
— Groq Inc (@GroqInc) 6 juin 2025
Performance stalled. Costs climbed.
Your team hit the limit. Again.
Groq’s LoRA fine-tuning changes that:
✅ No retraining
✅ No downtime
✅ No compromise
Now you can adapt in real time without starting over.
How it works in the comments… pic.twitter.com/1aD8tKOHhjYour model was good. Until it wasn’t.
Performance stalled. Costs climbed.
Your team hit the limit. Again. Groq’s LoRA fine-tuning changes that: No retraining No downtime No compromise Now you can adapt in real time without starting over. How it works in the comments -
DeepAgent: Build AI Chatbots with Simple Prompts and RAG
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Have AI build AI with DeepAgent: Create a chatbot with a single prompt Customize prompts & enable RAG Use vibe coding to build & embed your app Watch it create a dating advice chatbot!
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Which Model Hub Are You Calling DeepSeek-R1
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which model on the hub you trying to call? DeepSeek-R1 for instance?