Viewing profile — orderone_ai

Don't those have like 8GB of VRAM? Ain't no way you're running something that produces GPT-4 like results on that.

Do you have figures supporting that? Because so far everything I've seen points to current inference subscriptions being wildly unprofitable. It may be a bit dated, but I haven't s…

It absolutely does matter. LLMs still have to consumer context and process complexity. The more LoC, the more complexity, the more errors you have and the higher your LLM bills. Th…

It really depends on how it scales. If it can scale to LLM sizes via this training method (Which is a big if), then it could mean fundamentally overturning the transformer architec…

We're actually in a great place to reverse aging already with off the shelf stuff you can get from the grey market. We have countless interventions that show improvements in aging-…

Ah, that's the beauty of it! It's not an LLM. It's a new class of model: A DSRU / Direct Semantic Reasoning Unit. It's a vec2vec architecture - it takes in 3 bge-large embeddings o…

Thank you for your question! Because I'm not sure exactly what you're looking for when you say 'compares to' -- whether accuracy, speed, or architecture -- I'll hit all 3, but sorr…

Thank you for the question! I would say that ease of use and deployment is actually a good reason to have a single model. We don't train 20 LLMs for different purposes - we train o…

I've spent the last few weeks working on a novel model architecture. It is not a transformer - it lacks attention, tokens, and softmax. However: Batch Processing: Average batch siz…

Or - crazy idea here - they're just full of it. I haven't seen an LLM stay on task anywhere near that long, like...ever. The only thing that works better left running overnight tha…

Which quadrant is NOT concerning to you?

Overall, I agree - it would take far more sophisticated and deterministic or 'logical' AI better capable of tracking constraints, knowing what to check and double check, etc... Rig…

This is such a convenient tool for a casual user, and a great application of an LLM to a narrow task that probably couldn't be handled quite so easily everywhere. Also a great exam…

Man, that is truly fascinating. Do you have ideas on how to expand the study to capture broader analysis like that...?

Hello, fellow kids! I want to share what I've been working on the last few weeks: O(1) inference across whole tasks through direct vector transformation. A few facts upfront to giv…