And don’t be naive to think that there aren’t sophisticated symbolic handling mechanisms being implemented in the training of the models by Big Tech. Not even baby soap is truly neutral.
And don’t be naive to think that there aren’t sophisticated symbolic handling mechanisms being implemented in the training of the models by Big Tech. Not even baby soap is truly neutral.
I think those should be very useful, especially with AI: Either as a tool for the agents themselves - why spend heaps of tokens completely rewriting a code file, if you could do most of it by calling some global refactoring operations on the IDE's AST/symbol database?
Or side-by-side with it, to give human users better insight what the AI did.
Instead it seems to be all VSCode (if at all) + grep + AI agents, and nothing else.
Not exactly symbolic AI, but pretty cool nonetheless.
Yeah, the middle path sounds promising.
"Code Mode", where the AI writes a little program or script to do the AST/symbol transformations sounds like the win. As you point out, less tokens, and gives the humans insight.
This isn't exactly the same application of a "code mode" as before, but in my view it's a broad philosophy. AI for building machines, instead of doing the work directly. It also allows for easier updates/retries too. https://blog.cloudflare.com/code-mode/ https://news.ycombinator.com/item?id=45399204 https://blog.cloudflare.com/code-mode-mcp/ https://news.ycombinator.com/item?id=47089505