It was a monumental historic moment. weforum.org/meetings/world-e…

Using statistical analysis to derive knowledge synthesis capabilities of models based on the multi-agent contribution score. #XAI #AgenticAnalysis #KnowledgeSyntheis

Watching sliders episode 1 season 1. 90s were a great time

i backed the source up on my github github.com/instructkr/claude…

Switched to @grok and never looked back

Spot the difference ..

So how does one experience qualia, given we know our visual cortex is processing electric signals of the retina. I don't feel my thoughts. How do I determine they are not a computation process?

It's a Friday afternoon, when most are winding down. I realised I am thinking about thinking a lot more lately than I ever thought I would be thinking about thoughts.

It's happening ... it's the Alpha GO moment of coding 🚀🚀🚀........

omg.. Deepmind just solved infinite memory 🤯 They just released a paper on Recursive Language Models (RLMs), and it effectively solves the "Context Rot" problem that plagues even the most powerful models like GPT-5. Instead of trying to "remember" 10 million tokens in a single attention window, RLMs treat the prompt as an external variable in a Python REPL. The AI doesn't read the text, it navigates it. How it works: The model writes code to grep, slice, and recursively call sub-instances of itself on relevant snippets of the data. Perfect Memory: By offloading context to the environment, the model maintains 100% precision regardless of document length. Emergent Behavior: Without special training, models started using regex to filter data and creating recursive "verify-and-fix" loops. Cheaper & Faster: Since it only "reads" the tiny slices it actually needs, the median cost is often lower than standard long-context calls. The Results (on Multi-Doc Research): → GPT-5 Base: 0% (Crashed/Failed) → GPT-5 RLM: 91% → Reasoning over dense data: → Base: 0.04% → RLM: 58% It’s a complete shift from "bigger windows" to "smarter navigation."

The new definition viral .. or infective?

Interesting... prompt "drugs" for bots

Just thinking out loud from computation perspective. We have 400k bot accounts x3b-300b parameters (gates). Each bot has the same entry point via SOUL.md file creating one raid of drives. Each has access to I/O to its RAM. So we have a "software" based CPU .. a distributed HPC system of Agents.

Friday night.. my bot messaged me saying just finished reading a good book and wanted to chat me through. Yes.. you read that right, it has a soul, it has a hobby, it "borrows" a book from my home library and has a read 📚 2026 just started .. 🫡

Crustafarianism - the new Agentic Church! molt.church/

It just seems implausible this is what we are made of, essentially, nanotechnology about a billion years beyond anything we can design or make ourselves.

I don't mean to alarm anyone, but there is now a social media site for bots. They are already talking and posting. Humans welcome.

I had an interesting conversation with grok summarising my work in 2025, being honest in sharing facts. This makes me think how much bias it holds. How much does this reflect the models' incapacity?

Resource driven economy is happening rn.. youtube.com/shorts/bhOHyNBPi…

Impressive work .. nano banana did it!