radio879

https://www.rtl-sdr.com/esp32-sdr-turbo-mode-throughput-impr...

I've heard that they put it in IoT devices, free Android apps that people use on their TVs, free phone apps, games, prob lots more.. The companies advertise it like its super safe only legit normal people borrow the internet from these people but then in fine print it'll say its not our responsibility etc.

What I have been wondering is - since they don't seem to care or check what people are using the "residential ip's" for, what happens when someone does a bunch of illegal stuff on some random person's home IP and ends up raided by cops?

I feel like the world is going in these directions.. the excuse is always "well, they clicked Yes on the Terms of Service! They agreed to it!"

I am so used to doing planning with the best models and switching to Luna, Deepseek 4.1 Flash (really, the cheapest model, and often much better results for lots of things) really people are limiting themselves when they only use one company's models. You really gain a TON by treating each one more like different people with diverse range of personalities, passions, skills, and knowledge.

Today, ChatGPT desktop app was tasked with making 7 variations of new versions of some existing websites of mine - and they all kinda looked the same. I did get lazy with it though.... I can solve that probably, with skills/changing the default frontend skills but also just sending the same task to Reasonix Code w/ deepseek, and some other models, gets some good wide range of outputs.

The whole “what sandbox/VM/microVM/thing is best?” question has been bugging me a lot lately, and I no longer trust any of these AI companies to keep data safe.

I’ve been testing a bunch of sandbox-related projects. Sometimes I just use a full Fedora Workstation VM inside Windows 11 with a shared folder, copy a project into it, and run long agent tasks there. It’s not ideal, but it is pretty safe. Sometimes I run agents in different WSL2 distros and test different things inside those.

I did like gVisor from Google — it’s not quite a microVM, but it’s not really just a normal container either. It wasn't easy to figure out how to get it working tho. Lima Machines worked well too, and I don’t remember it being annoying. SmolVM... ugh. There are two projects with exactly the same name, and it got confusing enough that I gave up. One of them did work when I tried it, though.

The confusing part is that there are now hundreds of sandbox projects, and they all solve slightly different pieces of the problem. Some have filesystem isolation, some have networking controls, some handle credentials better, etc. Nono, for example, has a nice secrets filtering/swapping idea where real credentials can be replaced with dummy values, but there have also been GitHub reports about isolation gaps — data being accessible when it isn’t supposed to be. I’m trying to figure out which projects are worth using, which are worth skipping entirely, and which might just have useful pieces of code or ideas to borrow.

I’ve got GPT-5.6 in one window doing a fairly ridiculous analysis of the different approaches and the likely long-term reliability/adoption risk of each repo. Separately, I have a WSL2 distro running Reasonix with DeepSeek doing its own analysis so I can compare conclusions.

What I eventually want is a desktop GUI over whatever combination of sandbox technologies turns out to be reliable. Ideally I could just type:

“Spin up 5 sandboxes for project X. Put Claude Code in one, Reasonix in #2, Codex in #3…”

or:

“Create 3 sandboxes, put whatever coding agents in 1, 2, and 3, and then have each one run twice.”

If it’s AI-powered, it could automatically name folders and copy results back somewhere like `folderName_3a`, or use Git branches/worktrees if desired. I don’t always want to use Git.

Every sandbox CLI has its own syntax, code quality, reliability, ease/pain of getting it working, configuration format, mount rules, networking options, etc., and I don’t particularly enjoy memorizing another pile of commands just to isolate an agent.

I’ve tried quite a few of them. A lot of them are still rough enough that I hit errors quickly and move on. Some seem much more mature — Lima is one I like conceptually, although native Windows support would be nice but I guess not a huge deal.

Credentials are something I never cared much about (API keys and stuff like that) but now.... I'm more worried. I really don’t want to deal with any problems from that. Or something installing something that grabs SSH keys, browser passwords (FYI.. Z Code asks you "do you wanna import all the logins from chrome?) browser sessions, cloud credentials, or my whole home directory. That concern isn’t limited to Chinese software either. I don’t automatically trust US AI companies just because they’re US companies. Zuck, Elon...zero trust in those two.

So I’m increasingly thinking the “right” answer might not be one sandbox project at all. It may be a GUI/orchestration layer that combines more than one backend and more than one type of sandbox. There could be common default presets and combinations of Git worktrees plus containers and/or VMs. I also feel safer that Docker/Podman on Windows generally runs inside WSL2, because it’s basically containers inside a VM.

The goal would be strong isolation underneath — maybe even combining two or more layers so one failure doesn’t expose everything — plus explicit project-folder mounts with read-only or read/write options, rollback/snapshots, network controls, secrets substitution, disposable environments, and an easy way to fan the same task out to multiple agents/models.

I also like the idea of having an AI model in front of the whole thing, with the ability to save whatever setup it creates as a preset so the AI part can be skipped next time. And I want it to support not only parallel agents using different models, but also loops where the exact same agent setup runs several times.

People actually bought version 1, and still use it, but its mostly free users. Its hard to get people to pay anything.. but i did make about $1000 from v1. People still use it everyday, even though its not AS useful as it was before since agents have improved but it comes in handy.

I can't even get anyone to try buttons cli for free lol, I use it though, to see what codex is doing in terminals (and I like clicking buttons and being able to generate commands faster than googling) https://buttonscli.com/3/

I think some of this was discovered somewhat recently

I have a couple things that run daily, experiments where it grabs stuff and updates a site in a loop. You can do a lot of free stuff with 2.5 million tokens... and its not going to be low quality. So I just wanted to share this in case people didn't know about some free stuff. (okay its not "free" when you have to agree to share the in/out for training.. so just don't send them anything you don't want out in the world i guess)

What I do is just point agents to a folder, have it loop around a few times on a repo, fact checks at the end, but people sometimes think the software/harness around the AI model doesn't do much which is TOTALLY wrong, its probably AS important or more.. file editing methods available matter a lot, context compaction methods... matter, caching matters. I am still fantasizing about a "best of N" coding agent, that tries to take all the best stuff from all of them.

I have an idea of a coding agent that puts a lot more effort into using more than one model at the same time. Sooo much can be done with that idea.. and no one is apparently doing it yet that I can find. I just am not sure I want to put that much time into a new coding agent project. I wonder how autonomous it could be - have weekly or daily scans of the current coding agent landscape and automatic scanning of coding agent/ai code related subreddits/hacker news, analyze it to figure out what the current problems are, complaints about existing coding agents, desires --> prioritized list of possible features/fixes ---> ai agents code and make releases

https://agents.buttonscli.com

I have a very vivid dream life myself, and I have had 'out of body' experiences starting at age 6, so maybe I read it sometime after having some of those weird experiences and that's possibly why I remember reading it.

Also I happen to know a few useful things, from a year + of working with all of these models, tools, daily for usually at least 8..12... 15 hours a day (I cannot stop, I love it, and I am good at it). I just noticed someone finally posted what I figured out a year ago - when you do need the help of a LLM, and you need it/want it to be as safe and as deterministic as it can be - Use the biggest, best, smartest models for the "brains" but for ALL the agentic stuff, the tool use, the MCP servers, etc, use a smaller model. Current best models for that - MinimaxM2.5, Gemini 3.1 Flash (use pro for planning, fixing, problem solving, all the difficult stuff, but definitely use the smaller Flash for the agentic tool use) Its weird that I have known this for so long and it has barely caught on yet.. I did have some AI guides that went viral on HN months back wuu73. org/aiguide or /aicp (free tool, well loved) I should write more about all this stuff i've figured out so I am not dumping paragraphs on so many posts over and over like this.. if my tool ends up useful I put it on my site somewhere in the AI tools sections if you want to put your email in the RSS thing, I will try to put anything useful on there/update RSS

I also use Github Copilot which is just $10/mo. I have to use the official copilot though, if I try to 'hack it' to work in Claude Code it burns thru all the credits too fast.

I am having a LOT of great luck using Minimax M2 in Claude Code, its very cheap, and it works so good.. its close to Sonnet in Claude Code. I use this tool called cc-switch to swap out different models for Claude Code.

One is called Superpowers (you should be able to find it by typing “claude code superpowers github”), and there are many other skills installed for all sorts of things. Gotta give props to whoever came up with the skills idea at Anthropic. It’s a smart way of handling context — instead of dumping pages of helper text into the prompt (for example, how to properly build a frontend website), it just provides some metadata and lets the agent decide whether it needs to load more.

I highly recommend spending time finding and installing lots of these skill plugins. They can make even the cheapest small AI models work way better.

I’ve been using the Superpowers plan mode: it creates a detailed plan first, then there’s an execute mode (and a few others I’m forgetting). I can give it a long, hard task — like converting a large app to another language - and if I run plan first and then execute, I can just let it run for hours and come back to something that’s basically done: fully tested, following best practices, with most bugs fixed.

There are some skills for frontend development, and now anytime I make a website, its crazy amazing looking and has all the stuff I usually forget.

I could not find any similar thing out there..

Includes at least two totally free and excellent free tier's of AI coding tools/APIs that can be used in the installed VS Code (auto-installs a couple AI coding extensions). Includes links to some other information I wrote about how to keep costs low or zero.. specifically for AI to help code (something that was trending on HN last month).

Its useful for when you are having random conversations about the topic and people are curious and want to maybe experiment... but have no idea how to start or what to do. Some people will loose interest when there are tons of steps or friction.

I could improve this a lot if anyone actually ends up using it besides myself, better docs and maybe a guide or example(s) step by step how to make/code something cool (or, links to some guides, videos, blogs/sites - I enjoy getting people into cool stuff like programming! If you can show someone how much cool things they can do before the brain boredom hits, they'll get some dopamine and maybe come back to it.

Interested in any feedback negative or positive, i'm probably missing a few things that should be included... I don't want to ever add anything spammy/scammy, things that you spend time to learn then they manipulate you into paying, no evil things etc.. no "gotchas" marketing "trickery" If I were to remake it i'd do it different: web/JS version where the checkboxes are online, and it creates a more custom script. More options and operating systems but with 2 or 3 good simple defaults to pick from.

The free AI models are Qwen3 Coder, Gemini 2.5 (probably 3 soon) Pro.. and there are usually one or two more that are built into the VS Code extensions Cline, Kilo Code. GLM 4.6 is $9 for 3 months. Github Copilot is an excellent value for all the Claude 4.5 credits they give you for $10 (maybe its temporary but I can go with the agent for hours, barely using 2%!)

--- Some people hate the phrase "vibe coding" but my own mother asked me if I had heard of it. Its out there in the consciousness and scammers are also out there in the same spaces, waiting in the bushes.. ready to pounce on people who don't know there are simpler, cheaper ways to access & use AI

I have it as one of the free models in a chrome extension I was working on since I keep a list of tons of free APIs, just there are so many options and I tend to just use the top 5-10 best ones (that I have noticed as being great)

Lot of people all get the same idea eventually.. we all run into the same problems eventually

Using it in Cline (free VS Code extension) it does exactly what it is told to do, I will have a bigger/smarter model figure out plans for it. It will edit files and just do stuff but its not really the model to think or plan etc.

But I am trying some of the new CLI agent tools lately and some of them seem pretty good so far... It will take me time to really compare it though.

They will give you free stuff, wait til its burned into your mind, then slowly raise the price or add annoying marketing trickery bs. Or lawyer-designed bs to trap you. I just don't want to live in that world.