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I have a "Homatics Box R 4K Plus" with CoreELEC/Kodi installed. The UX is then determined by your Kodi skin or apps. I wouldn't exactly recommend that box for ease of installation, but it works. It only needed to boot once into Android, annoyingly requiring an internet connection for setup. Since then it only runs CoreELEC. Works via HDMI CEC via the TV remote, which is still a bit annoying, because they had space for a dozen branded streaming provider buttons, but pause/forward etc. are on a mode switch button that overloads the navigation buttons.

For far too many options, see this massive sheet for Kodi support, including newer formats like Dolby Vision and HDR variants: https://docs.google.com/spreadsheets/d/1Uyuw_1dADsRw7u1LGW6q...

Overall I am pretty happy with Kodi on my Android box. 90% of the content is streamed from a local Jellyfin server, so I can't comment on how well it works with DRM media. It occasionally [1] seems to hang, requiring a power reset. The next time it does, I will hook it up to a smart plug to simplify that as well. If you are into tinkering, CoreELEC is based on Linux and you have some basic tools already installed with more available from the addon repos. I have SSHed into LibreELEC to debug network issues with iperf and on a previous iteration to kick over Kodi with systemctl restart.

[1] gonna say less than once a month, I don't remember when it last happened


I intentionally avoid this, especially if I am not the only one connecting to a server. I see potentially breaking others' expectations for my convenience as a clear downside. Plus there is a level of paranoia there, I might have unintentionally included a credential in some config that gets copied over. That potentially increases the blast radius of a server compromise beyond what is strictly required for that specific server. I might copy over some scripts into a directory not in $PATH, easy enough to add it to my shell session if needed, CTRL+R helps as well.


...why are you sharing user accounts in this day and age? Yes, absolutely, don't mess up the shared space everyone uses, but why are you sharing that space in the first place?


ssh, scp, tmux, (grml-)zsh, grep, less, file, tar, git

The time saving of a well filled ~/.ssh/config is impressive, especially once you start juggling ProxyJump hops.


Chris just has some fun projects. Sandsifter was pretty well known back then due to finding that VIA x86 opcode, the movfuscator is just an amazing piece of mostly useless engineering and the fun reverse engineering psychological warfare was my first contact with his projects. I guess someone stumbled on one of his projects and others clicked through to his other projects. Many of them are a perfect fit for HN, no wonder they got posted.


I get that argument, but I don't think it is that bad. Open weights that are out of reach for local use are still within reach for groups of people or small to medium companies. Even if you only rent enough cloud GPUs to run the weights for a few hours, you still get to do anything you want with it.

Worst case you can still archive the weights and hope for capable hardware to get affordable. At the same time this archive is the base line for a new frontier lab to start over if required. I see open weights as a pure upside even though I can't run the bigger models in my home lab.


Article is missing a note on the existence of MX records for the domains. Sure, you can easily have a send-only domain without an MX record, but the common case is likely to setup both send and receive capability. It would be interesting to have that number included as domains without MX and DMARC might just not be configured for email at all. Worst case the 45% of domains without DMARC are simply not relevant for email and thus not configured at all. I would find "x% of domains with configured email don't enforce DMARC" more interesting.


Technically you can receive mail without MX records if your mail server is on the same host as the web server.


And if you send, a lot of mail servers will assume it's not meant to have any email service and will treat it as an SPF fail.


Those numbers are wrong for most use cases. Likely the LLM did not take SWA (Sliding Window Attention) of G4 into account. Without SWA those numbers could be correct, I can't load a q8 without SWA on a 24GB card.

I tested this with the at the time newest llama.cpp master on a Linux system with 2 3090 24GB, only one was used for testing. q8 without any KV quant, 256k context, mmproj loaded takes less than 20GB VRAM. This runs at about 1.5k to 2k tok/s pp and 40-50 tok/s gen (slightly lowered power limits & undervolted). q8 with 64k non-quant context and mmproj takes just under 16GB VRAM. Drop down to the q6k model, no mmproj, 64k non-quant context and it fits in 12GB VRAM. All the way down to q4km and some batch size tweaking and it barely fits into 8GB VRAM.

64k context is the minimum for Hermes agent, so a vision capable "agentic" model fits into a 16GB card. This is very impressive. I am currently testing how smart the model is and it does decently so far, had one looping issue it recovered after a lot of tokens, did some basic tool calling.


> The MI100 is roughly double the performance on Qwen 3.5 35B A3B Q5_K_M to the R9700 (462 token/s prefill vs 239 tokens/s, 217 tokens/s vs 118 token/s for inference)

Those prefill numbers look really low to me. I can run nearly that same model (qwen 3.6) at q4km with q6 cache on a single 3090 and get 2.3k-4.4k prefill and 100-170 generation. Just based on raw numbers I would expect the R9700 to land around 70-90 generation (about 2/3 of memory bandwidth of a 3090) and at least the same or higher prefill (nearly 3x FP16 TOPS on the R9700). That means the numbers really don't add up. Is the benchmark done with some special settings, e.g. parallel requests or with very low prompt length?


Numbers are from https://www.fitmyllm.com/ so they're not a real hardware benchmark just what you're expected to get. YMMV.


Ah, ok. I took a look at the 3090 numbers and they list 400 tok/s prefill, so if I normalize my expectations to that base line the numbers you posted do make sense. I haven't dug deep into that site's methodology, but their estimates seems way off. Especially since they don't take into account cache quant when deciding whether or not you can run a model. Overall I found that website a bit confusing, but maybe the UX just didn't click with me.


For those who, like me, had to do a double take on that number: https://www.businessinsider.com/openclaw-peter-steinberger-a...

Yes, $1.3M in token cost in less than 30 days and some days were even off-peak, if you can call it that with that insane scale that likely hides quite a lot of tokens in the lower bars.

HN thread: https://news.ycombinator.com/item?id=48159227


Without having firm data, I can see a few factors that are different. After the collapse of the GDR, it was easier for eastern Germans to move to west Germany than for Polish to move to a different country in the west. Mostly younger and educated people would have made that move, hampering future generations. With the Reunification also came the whole Treuhand issue which essentially sold off a good chunk of eastern Germany for pennies to western investors, because eastern investors had no capital. That meant the east lost out on the profits from its economy as they would accumulate in the west instead. Even today a large part of east German rentals are owned by western landlords or corporations. Then the industrial base of west Germany was setup far more for competing on the open world market with automotive companies in the NW (VW), SW (Daimler) and SE (BMW) plus the big industrial area Ruhrgebiet. So you naturally got an economic focus even after Reunification on the old BRD with the previous GDR requiring decades to hopefully catch up to the rest of the new country.


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