People have it backwards when they say "i dont have anything to hide, so I use [insert your favorite convenient closed source technology]. Its not you - its the big tech company - that clearly has something to hide about whats going on in that code base. Anthropic is a great example of this, but it obviously extends to all of big tech.

Qwen 3.6 35b just dropped. According to huggingface benchmarks its almost head to head with the 27b dense model which I think is crazy if true. Thats realistically 3-4x tokens/s for somewhat equal model intelligence in a model specifically trained to do tool calling and agentic work in general. Hope it holds up. @utxo the webmaster 🧑‍💻 this'll fit nicely on your setup I think? #openclaw #qwen

Here's my Agentic AI Journey Brief background on who I am - Zero computer science knowledge outside of excel (and formatting my dads desktop PC as a kid - using floppy disks) - Studied Fiat Economics - Discovered bitcoin in late 2016-2017 (toward the ending of my fiat economics indoctrination) - Due to simultaneously jumping head-first into the rabbit-hole AND coming up on my final masters thesis semester - I had to wiggle my way into a Bitcoin related masters thesis subject - This is where I discovered that computers think in binary - And discovered binary altogether 🤷 - So I crash-taught myself what binary is in order to kinda understand how cryptographic hash functions work - in order to kinda understand the concept behind the blockchain. - Due to liking the computer science area, I quit my recently acquired job and started freelancing as a data analyst - specifically developing Microsoft Power BI solutions -> Which led to more engineering related tasks, resulting in a career in data engineering. - That entire intro is to tell you that bitcoin changed the course of my life from fiat economics -> to freelance data engineering -> to now having an Agentic AI journey I wanna share with the world 🤷 SO! Back to AI A friend reached out to me late one night asking "Hey, do you do agentic AI?" - To which I responded "Sure! whats up". Which wasn't a lie!! I had installed claude code on my work laptop the week before and had used it to solve one task 😬 Next day, I ran openclaw on a laptop I had lying around, trying to fiddle with local models via Ollama. Higher end laptop but older. Decent CPU and 8GB vRAM. Massively specced for Power BI, Management Studio and Excel - But... Not so much for Openclaw and Local LLMs - It just didn't work. Way too small models required for that laptop, so it was basically useless. In hindsight, MAYBE llama.cpp would've been a better choice instead of ollama, but at that point in time I had no idea what that was. Llama.cpp is an inference engine that is better suited at handling LLMs which need to be split between CPU and GPU. Despite having had difficulties with the model itself, this first dip of the feet was enough to give me an intro into OpenClaw and the way its markdown files are set up. I now knew about : - How the agent forms its identity - That it has a soul - That it wants information on me as a user and - That it logs its memory into memory markdown files This was massive and a lot of late nights were to follow. This note turned into an #Introductions 🤷. The random picture is of a sauna I built in my backyard. Anybody running turboquant? #AskNostr

Still think this could be great @miljan View quoted note →