So one thing that’s really helpful to automate is checking all the repos for my self hosted stacks and testing/validating/deploying new versions when they come out. They’re also good at writing helper scripts in Python to automate things deterministically so I don’t have to keep using LLMs for it. There’s an agent that is focused on learning and managing my wife’s school schedule, ingests her grades and syllabi and reviews her homework and makes helpful 10 minute podcasts on concepts she’s struggling with in her engineering program (not notebookLM, a self hosted lookalike), there’s a domestic agent that accepts uploads of grocery receipts and does our meal planning and schedules time for meal prep and chores and divides it up between us and the kids depending on everyone’s calendars, there’s a home media agent that manages qbittorrent and my ratios on private torrent trackers and files new manga or TV shows or movies ebooks audiobooks etc in the right library when new things come out we might like, viewing/reading/watching metadata tells the agent what content is popular to queue up in the next sweep - there’s a home assistant front door agent that can make automations or report sensor state or trigger scenes or entities in the general text channel of our home discord server and can tell me where my phone or keys are thanks to ESPresence being able to use cheap ATOM esp boards throughout the house (tiny little USB powered things with Bluetooth and wifi) to triangulate the location of any watched Bluetooth device or tracker tag in 3 dimensions through floors and walls - what else…there’s a home security red-team agent that looks for security holes in my cloudflare tunnel/kv worker/tailscale/caddy/protonVPN routes and monitors a cyber security RSS feed, I have a job/market research bot that ingests another RSS feed for news relevant to my industry and organization and gives me email and voice briefings on new regulations and corporate leadership signals, stuff like that. What else… there’s a game dev bot where my kids can talk to a discord bot that routes to a game dev agent that has Godot MCP and Unity MCP and renpy MCP and lots of other fun tools like Roblox MCP and Minecraft to make custom games we can deploy on Google cloud for their friends to play (my daughter is really into visual novels for some reason I don’t get it) - all sorts of fun stuff. Discord is kind of the family shared interface and then the privileged control planes are routed to my phone through tailscale and the home media server stacks are exposed through cloudflared.

Yes, with OpenClaw I can expose my agents via discord apps on my home discord server, I like that route because of the rich media and UI options (agents can give me drop down selector lists and approve/reject buttons). I have two 24gb Nvidia cards for local models usually Qwen, Mistral, and nemo based models for different purposes. I can chat with the agents anywhere I’m logged into discord and I expose privileged control surfaces and nodes via tailscale and family/shared endpoints via caddy and cloudflared

Nothing ironic about that. Thanks to OpenClaw and open weights AI models I started self hosting and figuring stuff out that would have made me frustrated and quit years ago. I have home assistant running on bare metal on a mini PC, a NAS with custom bios, migrated everything away from windows, Kavita for ebooks, jellyfin for music and video, nightscout to ingest my wife’s insulin pump data, and some fun custom sidecars that tie together some nifty automations like automatically diarizing and transcribing voice notes of meetings from my phone without having to pay a subscription fee - latest projects have been a local sync point for logseq, kitchenowl, and nextcloud - super productivity android app and caldav and the to-do lists in home assistant. I never would have had the time to figure all this out with my full time job and parenting but I can cut the cord to all my subscription services and I look at things a new way now. I solve my own problems now when before I would just look for a way to buy a solution. I bought bunk beds for the kids but the bottom bunk didn’t come with slats and I couldn’t find the right size so I went to home Depot and built my own with instructions from my ops agent. I had a fun idea to make an e-ink display sign for my office door that shows what town I’m currently in and what my current MS outlook calendar block is and when it’s over. I never played with Arduino before and now I’m hooked. It gets me over that first execution hump. Sure I break stuff and have to figure out how to put it back together again but that’s part of the fun. I finally found a way to learn stuff that works for me, you know, comes naturally. It’s like I’ve been waiting my whole life for this ever since growing up seeing people using computers via natural language in Star Trek. It extends to my work. The data I need is gated behind ticketing systems of business intelligence professionals who don’t have the time or inclination to give me what I need so hey looks like copilot basic is great and m-code, guess I don’t need BI analysts after all. Sucks for them.

Right and the predecessor to ChatGPT was trained on links from reddit posts pretty wild. I remember having fun making it come up with nonsense prose on my GPU

K2 wasn’t the first.

China had CPM-1 in 2020 that was a 2.6B model.

GPT-Neo (Mar 2021) EleutherAI replicates early GPT

PanGu-α (Apr 2021) Huawei’s 200B model

WuDao 2.0 (May 2021) BAAI’s massive 1.75T sparse MoE model

GPT-J (Jun 2021) EleutherAI release 6B

Meta released OPT in 2022, BLOOM was in 2022, GLM 130B by Tsinghua/Zhipu was in 2022 etc

K2 horizon is very recent, nowhere near the first. Different labs have different computational innovations worth studying. DeepSeek is crazy efficient and doing very novel things. Mistral in France is making very compact local friendly models that are fun and easy to fine tune and merge on consumer hardware.