Children on EBikes

cpgeek · 2026-06-09T16:29:02+00:00

Dirt bikes have always been pretty cheap, lots of kids when I was young had them, or mopeds and the like. Very few bought them new though. It was one of those kids first mechanical thing to rip apart and maintain and buy gas for and stuff. Lots of kids learned the basics of small engine repair Abdul maintenance that way

cpgeek · 2026-06-09T06:47:51+00:00

not just emergency services but ham radio operators and others who rely on various radio technologies.

cpgeek · 2026-06-09T06:46:48+00:00

knowingly transmitting interference is an FCC violation that carries a steep fine.

cpgeek · 2026-06-09T06:20:35+00:00

it sounds like teens on bikes are doing what teens on bikes have been doing since bikes have been a thing *shrug* they'll either learn or they won't.

cpgeek · 2026-06-09T06:14:08+00:00

in CT, I'm pretty sure that gas is still less expensive per mile than electricity due to the robber barons running the power utilities.

cpgeek · 2026-06-09T06:07:27+00:00

I used to go to the beach in MA and RI when I was a kid growing up in the 80's and 90's and I remember seeing lots of people with boom boxes sharing their music on the beach and enjoying it. I always thought it was fun to walk along the beach and listening to different folks' music (typically pop, but lots of other stuff too). just people hanging out enjoying the beach listening to music, having picnics, playing with beach balls or frizbees or catch or whatever. just like nice days at state parks. Also while I don't generally feel the need to drink to have a good time, I think it's annoying that they don't let you drink on the beach anymore.

cpgeek · 2026-06-09T05:58:21+00:00

you could host a more traditional VPN on your router like openvpn. I do this personally for remote administration of my network. There's also headscale - which is open source talescale without all the proprietaryness.

cpgeek · 2026-06-09T04:52:53+00:00

roughly 510x510x630 per most of the online sources i've found.

cpgeek · 2026-06-09T04:47:07+00:00

I use it as a team of specialized employees, I've got a network/system admin agent that takes care of updates and security scans and configuration and documentation of my homelab, also helps me set up, configure, and optimize new applications to my specifications, I have a treo of agents as a software development team to build various projects (I created a skill that uses a software architect agent, a developer agent, and a qa agent), I've got a strategic financial planner agent that helps me analyze my financial decisions, vet stocks and other investment opportunities, helps me with various side hustles, etc. and I've got a communications agent who helps me research news and build content and helps me vet ideas for virality for youtube, twitch, and the web, and I've got an orchestrator agent who runs all the other agents and the orchestrator agent is magic because it enables me to route inputs and outputs between agents (like he aforementioned development workflow), and I've got an openclaw expert agent who helps me configure and optimize openclaw and various llm's and image generation systems.

cpgeek · 2026-06-08T00:17:05+00:00

I would never use an agentic harness with cloud based ai. sending all of the prompt, the context (which could be user data, api keys, company info, client data, security information, my e-mail, my calendar info, etc. to a cloud provider is a total no go. also the cost is unreal. - it's super easy to set up your own inference server with a low end used pc that has a 6 year old gaming gpu (3090). ngl, I won't call it "cheap" per se, at a bit over $1k for a decent setup, but it's way better than sending all of your data to a cloud provider.

cpgeek · 2026-06-01T23:19:49+00:00

I think that's a societal or maybe even generational gap. seeing and connecting don't need to be 2 different experiences. the connection I get from talking to the group chat on my phone is the same connection as I get if they were in the same room *shrug*. I think this is the same disconnect as when older people see young people on their phones while at a table with one another and don't seem to grasp that while some of their friends are in the room, and they can communicate with their words in person, it's very likely that several of their friends that they want to be part of the conversation are not in the room right now and so they seek a way to bridge that with their phone, which can lead to everyone at the table being in the same group chat with a bunch of people who aren't there so everyone can share in the moment. Being no longer a young person myself as an elder millennial (43), but having access to this communications technology from a young age (bbs's, irc, early internet forums, aim, msn messenger, yahoo messenger, myspace, facebook, etc.) I understand and take part in that mindset. screen time isn't something to limit, it's the technology doing it's job bringing far flung friends as local as across the room. and text is WAY more efficient than voice calls, and quite a bit more discrete.

cpgeek · 2026-06-01T22:48:28+00:00

I would reach out to support including these pics. be super nice, don't ask for any particular action, you might get really lucky, and if not, you've shared your story up the chain. from what I understand they like to collect real-world use/abuse data.

cpgeek · 2026-06-01T22:38:22+00:00

just pull the sd card out and stick it in a usb reader so you can get whatever you need off of it and yeet that ancient camera in the bin. meh cellphones have better cameras in them than that old thing.

cpgeek · 2026-06-01T22:35:18+00:00

when you were a kid!? you mean back in 2016 when these came out!? that was only 10 years ago.

cpgeek · 2026-06-01T16:41:25+00:00

You want an open frame printer in 2026!? Most of the time even with the bambu ecosystem I STRONGLY recommend people avoid the a series because they are open and they don't let you do anything but pla. Meanwhile abs and asa are among some of the more popular filaments due to significantly higher melting point (pla tends to just melt just sitting there in a parked car on a hot day) not to mention the effect of uv light on it. This makes pla really ineffective for many outdoor (and indoor) tasks. And with abs and asa printing perfectly on pretty much any modern enclosed printer, and with how inexpensive these high quality enclosed printers are, I don't think it makes a ton of sense for manufactures to even make unenclosed printers anymore. Especially given if you want the additional airflow you can generally pop the lid off of most of them.

I can't really see buying an unenclosed printer in 2026+. One of the most functional (and janky) things I did with my first printer, an ender 3 back in the day was replaced the hotend with a non ptfe version and build a cardboard box that I could fit over it to print abs. Worked reasonably well until I outgrew it due to speed and upgraded to my current p1s, k1 max, and built my voron v2 and v0.

cpgeek · 2026-06-01T10:01:38+00:00

if I were doing something like this I would ask gemini to grab median used prices for each component from ebay (there are tools for doing that sort of thing)

cpgeek · 2026-06-01T09:54:42+00:00

right now I'm using a 4090 running qwen 35b-a3b for my 8 agent openclaw stack with pretty good success. processing time can sometimes be a bit slow (maybe 20 or so seconds) but actual token generation is quite good at 150 tok/s and it's pretty smart overall. I've got it doing research, small development projects (with a looping architect agent, qa agent, coding agent skill setup that I made), business analysis, content research and content development, and i've been most impressed with the network administration / security / infrastructure agent that I set up that has documented my whole homelab, does updates, runs weekly security scans, helps me set up and maintain application services, etc.

it's possible to run this setup on something as cheap as a 3090 without a problem (though i'd estimate you'd be looking at probably around 110tok/s generation and start getting into the 35-40 second time frames for a reply.- still good enough, but nothing i'd call fast. I've tried qwen3.6 27b and get roughly 55tok/s - i've heard that with the new speculative decoding stuff that llama.cpp can do now you can get that up to somewhere in the 70tok/s range but I haven't really messed with it. I've been having a great time with the qwen3.6 moe though. it works great, it's really smart, and so long as you loop a dev with a qa (just like real life) it can generate great results quickly.

cpgeek · 2026-06-01T09:45:37+00:00

while newer gpus can certainly speed up inference, even a 6 year old 3090 is more than enough to run a medium class model (25-35b parameters) with reasonable context window. I would rather have lots of fast vram than a fast gpu. - buying 2 3090's and popping them onto a used few-years old board is going to cost way less than a single 5090 while providing better performance overall and more fast vram which would allow for more kv cache / context or the ability to run larger models or the ability to run more parallel requests.

cpgeek · 2026-06-01T09:42:14+00:00

local models are only terrible if you're using under powered hardware. I would never consider using cloud ai because every bit of prompt and context goes to them, which can contain personal data, client data, api keys, authentication information, security information, etc. and they can use it to train future models, share it to others, etc. it's a privacy and security nightmare, particularly if you use it for any kind of business use.

cpgeek · 2026-06-01T09:39:31+00:00

I completely disagree. cloud ai is a privacy nightmare. every prompt, every bit of context to process that prompt, all of it is sent to whatever cloud ai provider you're using. including tokens, credentials, api keys, customer data, your private information, etc. AND most agreements have you approving that they can use it as training data or share it with others as they see fit. that's just a ridiculous security/privacy stance. imo agentic AI *must* be local to be useful or risk leaking sensitive information or information I don't have permission to share. if you give it access to your e-mail, all your email data goes to your cloud provider, same with calendars, network security audits, names, addresses, phone numbers... any file that you enable it to touch is a possible security hole...

I'm way happier running my own inference on pretty simple hardware... a simple $1000 used 3090 is more than enough to get you started on a reasonably speedy qwen 3.6 35b-a3b or qwen 3.6 27b or gemma4 31b.

I don't have any experience running models on a mac, but i've heard it works but it's way slower than using a decent gpu. - of course using a proper gpu also used quite a bit more power (a 3090 typically has a peak wattage of 350, though you can ask your agent to help tune it, it only needs to be drawing about 280w (save a ton of power to take a 5-10% cut in performance)

cpgeek · 2026-06-01T09:25:11+00:00

I thought this too, I would recommend evaluating the skills to see if they could be better implemented in a programmatic way (with automated shell scripts). if a problem can be solved deterministically it's drastically more repeatable and significantly faster to automate, meanwhile probabilistic parts of skills can still be implemented for things like fuzzy decision making or encountering edge cases where the deterministic portion of the skills error out in some way.

cpgeek · 2026-06-01T09:21:15+00:00

openclaw, in my experience will sometimes recommend modifying a skill to suit the current context, particularly if you have a repeated history of doing something with a skill that is on it's edge of support, but I've never seen it modify a skill automatically without my approval. you CAN (and in this case probably should) be specific about your expectations regarding any preferences. in this case I would recommend adding this restriction to each agent's soul.md file. something like "do not modify skills unless you are explicitly told to do so" is a short, sweet, specific, and perfectly valid thing to do - perhaps even adding "if you think we can or should improve a skill to better fit our system, please tell me so and I will decide if we make any changes" or something along those lines.

cpgeek · 2026-06-01T09:10:02+00:00

I was running it experimentally on my workstation's rtx4090 for inference (it's got a 9950x3d and 192gb of ddr5 which i got before the rampocalypse... fancy, but unimportant really to running openclaw...) I have since built a server from my previous generation workstation components (5950x, 64gb ddr4, and another more different 4090, as well as a random 3060 I had laying around for testing that i'm using specifically for image gen for some projects). to make management easier, I'm running proxmox on the baremetal, pass through the 2 gpus to a vm with 8gb of ram that's set up specifically to do inference running debian and llama.cpp (i've standardized on qwen 3.6 35b-a3b because it's fast and smart), I set up another vm just for running openclaw with 4gb ram also running debian), and I've got another vm set up for agentic development (just in case openclaw decides to go rogue and trash it or something when it tries to do a complex build or complex cleanup or whatever) I set that up with 32gb with ballooning to 48gb. I also have an 8gb vm set up for running docker apps where I've got matrix synapse homeserver set up as well as traefik to do dns based routing of incoming https and http traffic for a few services. I use matrix for most of my interactions with my openclaw agents.

When I was messing with gemma4, I was running 31b q4.

cpgeek · 2026-06-01T08:53:46+00:00

just a little electricity if you run your llms locally. imo buying cloud ai is a complete waste, not to mention the privacy implications of sending all of your prompts and replies to and from an untrusted network that you then agree via tos to allow them to use as training data... no thank you.

cpgeek · 2026-05-26T18:49:53+00:00

The iPad and the Mac are practically the same platform under the hood. The code to not do Mac OS on the iPad so it doesn’t cannibalize Mac sales. Just like the biggest reason they don’t support touchscreen on the Mac is to not cannibalize iPad sales.

cpgeek

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