kristianpaul

“640K ought to be enough for anybody.”

I wonder if new technology debt could fall on the lack of literacy.

"Why did we sign up? Simply put, we have to continue to reach people where they are. Bluesky is a decent choice for us that evades many of the issues of other, more problematic networks. "

If you are a single-task person and never stop to think why you do things probably AI can replace you.

SREs are about super-thinking, context switching, recognize patters and workflows, data movements, etc..

I do know checking both agent session and logging at the inference side...

I wonder if they developed something to reduce the G forces

There should be a book "The Tales of Software from 1969 to 2026. How many times a apocalypse was prevented"

I need 12 GB back

Everything is a Remix

Agents, AGI and the orchestration of many minds

The choices are for the present but not for a future we dont know yet.

I tend to ask a line of questions to the LLM as first step to a point the context is enough for me. Then i ask for the work i need but then get back to previous context using /tree.

It's like asking the questions needed to get the answer you need from the LLM, can be either an answer for a plan/todo or a task to code/change something.

How the summarizing of the conversation happens in an LLM?

And yet since rtl-sdr times we have passive radars as an option as well https://www.rtl-sdr.com/tag/passive-radar/

Nice benefit is NVPF4 from the Spark (GB10)

Is this similar to fastcrw ?

The batteries-included agent harness

Qwen3.6 35B on gigabyte aitop (spark clone) but be very specif what you ask and how should be solved

Nemotron super 3 110B works well for 1M context long vibecoding sessions

I also use Pi harness with no extension

Is this the end of Linux powered Chromebooks?

"Not only is Git the new hotness, it's a fast, efficient, distributed version control system ideal for the collaborative development of software.

GitHub is the easiest (and prettiest) way to participate in that collaboration: fork projects, send pull requests, monitor development, all with ease."

Good to keep hideThinkingBlock default, is on purpose to be able to steer de model.

Haven't read the article yet but having more NTRIP public endpoint could help a lot to this precise location

Try byobu

“An intelligence layer reads satellite imagery, predicts sediment flow, determines placement, and improves with every new site; demand is rising from resorts, private owners, nations facing sea-level rise.”

My model is at home... just 16Gb still a lot but just FYI

https://unsloth.ai/docs/models/qwen3.5#qwen3.5-27b “ Qwen3.5-27B For this guide we will be utilizing Dynamic 4-bit which works great on a 18GB RAM”

Or Pi

They work great with kagi and pi

Qwen3 coder next works very well. I started with 20usd/month ollama cloud and switch to 200usd then decided host my own llm with a gigabyte ai atop since now i'm using llms agents everywhere on my home lab

People deserve to know it exists, I got tired of even OpenCode workflows/agents, installed OpenSpec but all this wrapped todos still not how i wanted I needed more control but dint wanted to write my own tool, then i ended knowing about pi, this got me interested at first read:

No plan mode. Write plans to files, or build it with extensions, or install a package. No built-in to-dos. Use a TODO.md file, or build your own with extensions. No background bash. Use tmux. Full observability, direct interaction.

This is very important to have control and ownership.

Pi is not for everyone, but the ones eventually want to have tools like (read, bash, edit, write, grep, find, ls) as building blocks.