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I wish they would stop calling it "a one man start up" and just say "self-employed"

Why? An honest question. I generally do not care how many people work at the company. If someone organizes and builds something useful, something profitable or something beautiful why does it matter (much) whether he built it alone or hired 20 people to do it.

For example, I found that two of my favorite software products were built by a single person (I assumed medium-sized team for each). That, if anything, made me appreciate them more. My 2c.


Digital nomad? OPC? Forward deployed engineer? Generalist? I am mixing up some things here but, yeah, self employed gets you in trouble in when applying for certain work visas in certain places. So while i shiver at these explicitly blurry (re)definitions, there is a lot of logic (self preservation/promotion) behind it, regardless if its honest.

Still better than the linkedin's special: "CEO, CTO, CFO @mybullshitstartup.ai"

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Isn't this the entrepreneur-or-freelancer divide? Is the thing you're working on making you money while you sleep (entrepreneur, "startup" is appropriate) or do you only get paid when you work (freelancer, "self-employed" is appropriate).

Not saying this distinction is useful, but at least it's a common way of talking about the various forms of "being your own boss".


In my head, a startup is something that can scale, and possibly needs scale. So me selling woodworking will always be limited by how much I can produce, thats still a businesses but not a startup. Selling a SaaS product however makes little money in the start, but can scale sales virtually infinitely.

I think people have their own axis they divide this on. So none of us are correct. For some it's also a vanity thing, where entrepreneur or startup sounds better.


When I hear “self-employed” I imagine contract gigs like websites.

When I hear “one man startup” I imagine a monthly SaaS product.

Seems like a reasonable distinction to me.


The funny thing about this is that it's actually easier to set up and manage a startup without any employees (and worry about how to pay yourself down the line, if and when there's actually enough money in the bank) than it is to set up a self-employment operation.

The personality disorders behind these decisions would never settle for that.

Ok CAD is great but I want CAM

lol, I am kind of in the same mode of thought but just kind of expect it not to happen.

There was a really shitty movie starring Jared Leto I think about the same problem. Being the last guy to miss out on being immortal


Mr. Nobody is not a bad movie!

Where is this project located? Asking for a friend...


How can we lock down a TV, still use it but trust we aren't being spied on?


Don’t give your TV internet access, and use an Apple TV.


At what point do we need to contend with an out-of-band mesh network? Sure you didn't connect your TV to your LAN, but did anyone within LoRa range, on any device from the manufacturer?


Create an open Xfinity Wi-Fi network, as well as an AT&T one. See if the TV connects to them.

This is probably obvious to most people, but I will mention just the same: do not install the antenna that the TV comes with.


> This is probably obvious to most people, but I will mention just the same: do not install the antenna that the TV comes with.

Wifi antennas would typically be internal and unrelated to the one F-Type coaxial connector one would typically think of as the "antenna" input.

Can't really stop the internal module from scanning and connecting to open access points unless you control the software.


We do that but use a Kubuntu Linux laptop behind the TV and a wireless mouse and keyboard (when we want to pause a movie in Chrome and search for something, like details about an actor in a movie).


I've gotten frustrated enough with my Apple TV that once my gen of hardware is no longer supported I'll replace it with a Raspberry Pi. I don't need fancy apps, just a browser for Jellyfin and (sometimes) YouTube. Any other incidental streaming service usage can also be done through a browser anyway.


I tried doing this and the video stutter on a raspberry pi made it too annoying. Probably better off using an N100


> Probably better off using an N100

Exactly this. Search for a mini PC and it'll have a cheap Intel SoC in it that performs way better than a Raspberry Pi 5 but cheaper (comes with everything for ~$300), and even consumes a similar amount of power.


That's too bad! Which Pi version and RAM configuration did you try?


A heads up: my CachyOS gaming PC has been doubling as my media box. But sadly, I've noticed that modern streaming DRM limits the quality because the OS+hardware is not "trusted". There's probably a way to hack around it, but I haven't gotten into it


There it is. Not a single TV at my house ever seen a WiFi password. I add cheap Amazon FireStick and be done. Sure Amazon also spies on me but as far as I know original FireStick does not have built-in microphone and probably is not scanning/copying my LAN content to some cloud/back home. And at any time I can just throw it in the trash, get another $29 device. Once I/you plug WiFi password to your TV, there is now way of coming back.


Leave it offline.


Thankfully, there are still people willing to jump on the R9700 bandwagon and get a vLLM fork working. If you have an RDNA4 card check out https://hub.docker.com/r/stilldeadcode/vllm-radiance


Deadcode is currently working on INT4 right now on his R4D kernel.

The MXFP4 fork is excellent too. Its my daily driver right now. https://codeberg.org/ggz14/radiance-vllm-mxfp4

Also has PARO quant support there too (early stage)

Also speedups in both repos for 4x R9700s


The way it does tensor splitting without all-reduce cost over PCIe bus wasn't something I thought was possible.

What kind of performance are you getting with 4x R9700s--what do you do with all the VRAM (batching, concurrent requests, etc)?


personally? i have 2x gpus.. but i get bursts of ~200tok/s generation, and around 4500-5000tok/s prefil

Yeah the R4D Kernel rules imho.


Similar here peak ~250 and down to ~120 as it gets close to 128k (which is where I set DSH compaction) though it can readily do 256k.

I just got DeepSeek Harness (DSH) set up with 2x R9700 and it's rather mind blowing that these can do actual work and quickly. Up until now I've always been evaluating and searching for better hardware/model/tweaks. This is much more than I even hoped for and considered getting extra 3090/4090. Now I can stop looking/tweaking and start using it for all the different things I've yet to discover it's good for. I do plan to also try/use Hermes and Pi. DSH is annoying that every plugin install/remove requires a restart--given that "everything's a plugin".


Thanks! Didn't expect to see this here. Exactly what I needed to run Qwen3.8-27B-Quark-AWQ-MXFP4-native.gguf as well as other experiments on one or 2x R9700's (I hope).


That MXFP4 is an excellent project. But I have difficulties on reading that README. Is it intentionally generated like that with LLMs?


Feed the setup and run scripts to your LLM.


Buy yourself 6 AMD r9700's an older 5965wx thread ripper with mob, 128GB of ddr4 and run deepseek v4 flash lossles. Then pocket the other $6000


How many toks/s could you get this way?


I think messing up teaches people to straighten up. But hey I’m a Millenial, maybe I’m out of touch now.


Omg C, so insecure! You should be ashamed of my insecurity!


I'd really like to see a 45B-ish dense model ready for a dual GPU setup. Something with a little more intelligence while still within the range of some higher end local setups.


There is definitely an under-served target memory size of 48GB - almost everything aims for: 12, 16, 24, 32, 64, ...) But most dual-gpu setups, 3090/4090 (and some mac configs afaik) have 48GB, and most 64GB systems would do well with the extra 16gb of overhead saved. 48GB is also moderately common in PC memory configurations since 24gb DIMMs are a thing.


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