Ok, I'll come clean, I'm actually an angry T-Rex that drives on the wrong side of the road. I'm just looking for validation
Greg
That chiropractic care is not evidence based
I'll jump on board with this too. Someone's got to be the smartest person on earth ¯\_(ツ)_/¯
If you’re driving the same speed as the car in front of you, you have no reason to use the left lane
What if the car in front of you is driving at the same speed but heading right at you? Or if there is an angry T-Rex in the right lane?
OK, I did the math. I could turn $1K into $74M in 10 years with that strategy. I lost a year of growth because I thought Ethereum was released in 2013 however it was the white paper that was released in 2013, the coin started public trading in August 2015. Either way, I'd still be happy with that return.
- 2014-06-19 twiddle my thumbs because Ethereum hasn't been released yet
- 2015-08-01 $1.00 = 3.22ETH
- 2020-01-02 3.22ETH = $421.24 = 6.12 ZOOM shares (also buy toilet paper and n95 masks)
- 2020-06-01 6.12 ZOOM = $1538.262 = 6.80ETH
- 2022-12-30 6.80ETH = $8170.67 = 570.18 NVIDIA shares
- 2024-06-18 570.18 NVIDIA = $74773.41
I'm doing this from memory to stay in the spirit of the question. I'd buy ethereum, then pivot to zoom in early 2020, pivot back to etherum mid 2020, then finally to NVIDIA at the end of 2022. I'll look up how well my memory works have served me.
I'd step back at that launch
That's 128GB RAM, the GPU has 24GB VRAM. Ollama has gotten pretty smart with resource allocation. Smaller models can fit soley on my VRAM but I can still run larger models on RAM.
I've installed Ollama on my Gaming Rig (RTX4090 with 128GB ram), M3 MacBook Pro, and M2 MacBook Air. I'm running Open WebUI on my server which can connect to multiple Ollama instances. Open WebUI has it's own Ollama compatible API which I use for projects. I'll only boot up my gaming rig if I need to use larger models, otherwise the M3 MacBook Pro can handle most tasks.
The use of CSAM in training generative AI models is an issue no matter how these models are being used.
This is tough, the goal should be to reduce child abuse. It's unknown if AI generated CP will increase or reduce child abuse. It will likely encourage some individuals to abuse actual children while for others it may satisfy their urges so they don't abuse children. Like everything else AI, we won't know the real impact for many years.
Fun fact, DEDSEC is a type of memory used in Soviet era mainframes.