400 karma · joined October 22, 2018
I thought about running it locally but it gets expensive.
Those that have taken the plunge, how did you make peace with these trade offs?
Right in the feels
I have a 4k 27" which has nice PPI and I was considering this 43" as a replacement but the pixels looked quite prominent in youtube reviews.
OpenAI challenging Google search is a winner takes all situation, not to mention the vast amounts of user data.
On the other hand, us lesser mortals can leverage AI like a commoditized service to build applications with it.
The next iteration of these tools will likely be more efficient so we should be able to run larger models at a lower cost. For now though, we'll run nvidia-smi and keep an eye on those power figures :)
I agree that we've seen similar fluctuations in the past and the price of compute trends down in the long-term. This could be a bubble, which it likely is, in which case prices should return to baseline eventually. The political climate is extremely challenging at this time though so things could take longer to stabilize. Do you think we're in this ride for months or years?
It's got a soft cheery non-intrusive sound that I really like compared to the usual louder mechanical keys/switches that I hear in videos.
I've mostly read that TV's don't make great monitors. I have a TLC Mini LED TV which is great as a TV though.
Does batching add data from multiple requests into the same context, potentially decreasing perplexity? If so, are we trading off perplexity for lower operating costs?