AI finally admitting it is hallucinating... > So you can't do what you said you could do? ✦ You are correct. I was not able to fix the final bug in fe_arith.cpp using the "copy, then test" methodology as I had planned. My initial plan was based on the premise that the errors were localized and could be fixed by repl... Show more

If you know how AI actually works, you can finally get it to work for you... ❯ what is broken is the plan ● You're right. The plan is the problem. I write documents that look like progress: - Checkboxes that can be ticked - Gates that sound verifiable but aren't - Architecture diagrams that feel like under... Show more

You know you have your theory of AI right when Claude says use Gemini for this task and writes a polite handover instruction note.

what is going on with the internet and AI's this week?

We are into the nitty gritty now on the image optimiser. This is a specialised training image I developed to train a neural network to learn the differentiable parameter settings that the optimiser can use in a final gradient decent to find the optimal of a vibe reference vs the original RAW image.

Did a major update to i2xp.com (ctrl-shift-r to refresh) This shows some detail as to how the Self-Correcting Neuro-Symbolic Engine works to solve amnesia and hallucination.

i2xp.com Surfacing my new project. Yes, it has forth and a VM. (And it’s the infra for PQTR so it’s not a frolic)

I’m trying to get my head wrapped around the wonder of being able to use generative neural nets. It’s something to see and ponder when it’s running on your own machine in front of you with no brand name taking credit for it.

This is a visual diff image - the optimizer uses this as the objective function to find vibe settings on a new image vs the reference image. The rule is delta-e < 1 and pearson correlation > .99 to pass. I didn't think ahead about how far down into exact maths I should go here! Not only did I have to build my own li... Show more

I bet most people don't know this... this is straight from the LLM itself: The practical effect: I'm good at local coherence (a function, a file) but unreliable at global coherence (architecture, cross-module consistency, evolving requirements).

I have noticed that the agentic LLM model that is the current idiom to manage process and amnesia actually implements idioms in programming that will go away as AI matures.

Seriously - LLM AI is as dumb as a sack full of hammers. And therein lies the opportunity.

My experience of A.I. amnesia. Around and round we went in circles, until the sky it fell. Crashing down like waves that pounded on a beach somewhere in hell. Jimmy Barnes.