People are afraid of change, that's natural. When the technology beds in, becomes mature, and is accessible by those threatened by it we'll have acceptance.

Until then we have "AI slop" which is the equivalent of "it'll never be as good as handmade" because the worst AI examples are being compared to the best human examples.

When we work with, and improve the standard of the technology, we'll ultimately produce a better society, and have better outputs, but that stage is still to come.

Aside from the diehard fans, it's the behaviour between the companies that stopped me buying their products, and I'm probably not the only one.

I applaud it's finally wrapped up but in a rapidly dwindling fan base they were eroding the value of their own brands - brands that should have been complementary.

I hope now they can recover that iconic status, but I feel it's simply going to go the way Atari is iconic now - mostly trendy t-shirts and retro sales.

Then I fitted my own custom 40x40x30 fan shroud for 2x6000 rpm fans at one end.

The other 2 I did something similar for but a single 2 card block and a stock fan shroud online.

I have 6x P4s, a Xeon E5 2696v3 (36 threads, 3.8ghz peak but all core turbo unlocked, so 6 cores at 3.8Ghz - about 8 cores at 3.5ghz, or all cores at 3.1ghz), 48GB DDR4, all fit into a micro atx case running on a 650W MSI psu. This gives me a virtual 48GB GPU (llama.cpp ftw) to backup that 48GB of RAM.

I typically see scores of at least 7-12t/s on 20-30B Q4KM size dense models, on a 32K/48K/64K context, adequate for modern inference.

The pain point is the prompt loading, it is far far slower, minutes not seconds, than modern tensor core 8GB 5060s (my other machine's 2x GPUs) but is quite similar in regular inference speed once it has loaded.

Strategy patterns and code-centralised feature management ftw :)