1,682 karma · joined March 21, 2016
Great men I admire: - Jimi Hendrix - Claude Shannon - Carl Sagan
The results so far are... okay, but getting something working to validate the gameplay loop and experiment with different systems is a lot of fun!
Try this out using a local LLM. You'll see that as the conversation grows, your prompts take longer to execute. It's not exponential but it's significant. This is in fact how all autoregressive LLMs work.
Total VRAM: 16GB
Model: ~12GB
128k context size: ~3.9GB
At least I'm pretty sure I landed on 128k... might have been 64k. Regardless, you can see the massive weight (ha) of the meager context size (at least compared to frontier models).As an informed user who understands his tools, I of course expect large uncached conversations to massively eat into my token budget, since that's how all of the big LLM providers work. I also understand these providers are businesses trying to make money and they aren't going to hold every conversation in their caches indefinitely.
Pretty sure stealing from stores is already illegal, not sure I understand your analogy... lots of case law / precedent there.
Lot of propaganda & emotions around this straightforward chain of events.
Good news! It's already standardized and agents already know where to find it!
Commonly known as a "free trial"