can your llm rotate a shape inside it's head?
i found out yes but it's a fucking idiot when it comes to the upper layer...
why? non uniform spatial reasoning....
here's an eval to test the internal latent reasoning of your models.
now that the reach has finally died down. i made the entire thing up guys HOW DOES THIS POST HAVE 250 LIKES AND 350 BOOKMARKS?????
IT'S A MEMEPOST
all these stupid buzzwords don't mean shit. for all the people who dmed me im sorry no such doc exists either. use your brain please.
i am surprised how many intelligent folks i know fell for it. you are all under AI psychosis if you put in this post on chatgpt it will 100% tell you all of this is revolutionary ideas.
Agentic Engineering has completely changed it's shape in the past few weeks if you want to get ahead here are some concepts you absolutely need to know for your own scaffolding
1. Continual Traces → Traditional logging has been rendered obsolete by these god tier models and harnesses. so instead you use continual traces logs that build upon themselves as the context grows
2. Agent Security Stack → Trust provision provenience and containment by design.
3. Stochastic Hierarchical Iterative Topology → Adaptive multi-level exploration of solution spaces. Using tree traces and the inherent laws of math to direct your agent harness for long running tasks
4. Relational Context Retrieval → Retrieve relationships, not documents, using relational dbs to constantly improve and connect your growing context
5. Filter Using Constraint Context: Current harnesses will have you believing that semantic search has been rendered obsolete but this technique allows you to improve your harness by leveraging the inherent semantic understanding of LLMs to efficently search relevant context.
DM me for the complete doc to 100x your agentic capabilities
"Agent Security Stack" ASS
"Stochastic Hierarchical Iterative Topology" SHIT
"Filter Using Constraint Context" FUCC
"continual traces" are you guys fr?
now that the reach has finally died down. i made the entire thing up guys HOW DOES THIS POST HAVE 250 LIKES AND 350 BOOKMARKS?????
IT'S A MEMEPOST
all these stupid buzzwords don't mean shit. for all the people who dmed me im sorry no such doc exists either. use your brain please.
i am surprised how many intelligent folks i know fell for it. you are all under AI psychosis if you put in this post on chatgpt it will 100% tell you all of this is revolutionary ideas.
Agentic Engineering has completely changed it's shape in the past few weeks if you want to get ahead here are some concepts you absolutely need to know for your own scaffolding
1. Continual Traces → Traditional logging has been rendered obsolete by these god tier models and harnesses. so instead you use continual traces logs that build upon themselves as the context grows
2. Agent Security Stack → Trust provision provenience and containment by design.
3. Stochastic Hierarchical Iterative Topology → Adaptive multi-level exploration of solution spaces. Using tree traces and the inherent laws of math to direct your agent harness for long running tasks
4. Relational Context Retrieval → Retrieve relationships, not documents, using relational dbs to constantly improve and connect your growing context
5. Filter Using Constraint Context: Current harnesses will have you believing that semantic search has been rendered obsolete but this technique allows you to improve your harness by leveraging the inherent semantic understanding of LLMs to efficently search relevant context.
DM me for the complete doc to 100x your agentic capabilities