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We are getting closer and closer to that. For a while llm assistants were not all that useful on larger projects because they had limited context. That context has increased a lot over the last 6 months. Some tools will even analysis your entire codebase and use that in responses.

It is frustrating that any smaller tool or api seem to stump llms currently but it seems like context is the main thing that is missing and that is increasing more and more.



I have not kept up, can you recommend something?


My review of 2024 is a good place to catch up on what's changed in the past 12 months: https://simonwillison.net/2024/Dec/31/llms-in-2024/


That post is the best summary I've seen of what happened in LLMs last year, but what's crazy is that it feels like you wrote it so long ago, and it's only been four weeks! So much has changed since then!


Do you mean mainly deepseek, or did I missed something big?


Mainly DeepSeek, but also the fallout: a trillion-dollar drop in US stock markets, the new vaporware Qwen that beats DeepSeek, the apparent discrediting of US export controls, OpenAI Operator, etc.


Oh, and apparently Kimi k1.5 and the supposedly-half-trillion-dollar "Stargate" announcement.


...Trump speaking about DeepSeek: https://www.youtube.com/watch?v=mKZ6UdVn-oQ




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