Cody now has a mechanism for pulling in context from *outside* the codebase!
Introducing OpenCtx, a protocol for providing relevant technical context to humans and AI. This builds on Sourcegraph's foundation as the world's best code search and connects our code graph to entities like issues, designs, technical docs,... See more
I wanted to see if AI could code me a complex app.
Not a crappy little one-off script. A real program.
Just one little problem: I mostly suck at coding.
So can AI make magic for someone like me?
Yeah. But...it's... See more
The first rule of machine learning:
Do not start with machine learning.
Unfortunately, to a hammer, everything looks like a nail.
Whenever I get a call from a company to help them, they have already made their mind up: they want to use machine learning. It's... See more
1/ I finally read Leopold Aschenbrenner's essay series on AI: Situational Awareness
Everyone, regardless of your interest in AI, should read this.
I took notes, they're sloppy but figured I'd share.
Welcome to the future: https://t.co/8WmDNvylrz
Why Chat With PDF Is Hard And How ChatLLM Gets It Right
Chatting on long docs is hard because most LLMs other than Gemini don't have a large context.
However, even with Gemini's 1M context length, in-context learning is hard, and if you stuff the doc in the context, it doesn't do a good job.... See more