what are the open source front runners for AI right now?
Discussion
HuggingFace and Alpaca
*Straight face, straight face..”
He’s on one…
🤣🤣
Exactly correct.
You don’t even need huge token capacity.
You can self assemble source code even for very complex things with a model that *only* handles 4k tokens.
1). Create assembler database
2). Check environment
3). Create code block generation process
4). Create task division process
5). Create QA / testing process
6). Receive mission prompt and acceptance criteria
LOOP
7). Divide task prompt into subtasks prompts
8). Generate 4k code blocks
9). QA / Test
REPEAT
Pretty quickly chug out 1m lines of code for <$5k, complete with searchable development and assurance records.
You could write something with 1 billion lines of code for ~ $2m, in about a week.
Nested self-assembly scales infinitely, it doesn’t need to be super intelligent.