Jensen Huang thinks AI agents can finally do real work
LangChain posted his comments on models moving beyond chat to actual tasks
@LangChain4 days ago
TL;DR:
- Huang says current models can handle agents with memory and tools that finish jobs
- Shift from just answering questions to getting actual work done
- LangChain sees a chance to help build these apps while NVIDIA sells more chips
LangChain posted about Jensen Huang's take on AI models being ready for agents that actually get work done. These agents have knowledge, tools, and memory, and they keep going until the job is finished. It's shifting from just answering questions to doing real tasks.
This matches the trend of combining retrieval, tools, workflows, memory, and loops. LangChain wants to help developers build and run these tricky AI apps. NVIDIA gets more demand for its chips. Huang thinks current models are good, but real success depends on testing, safety, speed, and costs.