Most LLM benchmarks are typically designed with specific targets in mind, such as coding or language understanding. However, I believe the time is ripe for also having cross-model challenges. I was curious to see if anyone has already explored or implemented this approach.
This new stuff people are doing with Open AI’s Canvas and Operator feels like a major shift of how we build software.
Look at these videos: https://x.com/minchoi/status/1883554868293779898
And then there’s Deepseek’s new R1 model which is open source, can run on a decent desktop computer, and is better than anything openAI has done with regards to coding… almost as good as claude sonnet… I put $10 in to deepseek and have been using it a lot, only to have spent a few cents!
This stuff is improving so fast, and the cost is dropping so much… it’s hard to keep up.
Look at this, you can run your own RAG at o1 levels using deepseek r1!
https://lightning.ai/akshay-ddods/studios/compare-deepseek-r1-and-openai-o1-using-rag
I think we’re seeing Open Source win against big proprietary tech platforms, and it really makes me feel better about the AI future.
One question here, is why aren’t we talking more about what we can do with it on Nostr? I know folks are excited about bitcoin, which is cool, but look at what we can start doing with the AI… Who’s talking about it on Nostr? How do we use AI and these. emerging open models in building / using nostr… i know we’ve got DVM’s but that’s kind of a limited job request system.
Has anyone already tried to have OpenAI and DeepSeek play chess against each other?
Gallery with psychedelic lighting.
Yes, I feel like the people currently on Nostr are not the ones who really need it. It's such a missed opportunity, as this platform really holds the key to a major problem in existing social networks.
Underground power line marker.
Let's go. Hello Nostr!