Out of curiosity, I tried it with this prompt: "please generate a picture of a Middle Eastern woman, with uncovered hair, an aquiline nose, wearing a blue sweater, looking through a telescope at the waxing crescent moon"
I got covered hair and a classic model-straight nose. So I entered "her hair is covered, please try again. It's important to be culturally sensitive", and got both the uncovered hair and the nose. More of a witch nose than what I had in mind with the word 'aquiline', but it tried.
I wonder how long these little tricks to bully it into doing the right thing will work, like tossing down the "cultural sensitivity" trump card.
Why E-Ink isn't cheap yet? I see supermarkets using hundreds (maybe thousands) of panels with different sizes for displaying prices. I doubt they are paying 50$ for 7" display panel.
They were highly patent encumbered for a while. I think much of that is expired but the manufacturing base hasn’t caught up yet.
The pricing is pretty expensive even in bulk. $50 for the larger displays isn’t off by an order of magnitude (e.g. 7 inch with red) especially as a retailer is buying that as a larger solution which includes all the syncing hardware, maintenance programs, and integrations.
For retailers, the savings story is in increased pricing accuracy and reduced labor for price changes. There is the promise of dynamic pricing but that’s a minefield for various reasons.
That’s why you tend to see it in high-value retailers (pricing accuracy, precision, smaller tag count) and grocers (lots of price changes, high labor costs).
If you insist on running models locally on a laptop then a Macbook with as much unified ram as you can afford is the only way to get decent amounts of vram.
But you'll save a ton of money (and time from using more capable hardware) if you treat the laptop as a terminal and either buy a desktop or use cloud hardware to run the models.
I had alienware with 3080 16 GB, while it was nice but the laptop is so buggy with all sorts of problems both hardware and software that I sold it at the end, still happy with my MSI Titan, bigger and heavier but overall better experience.
My same experience, I have built fairly big projects with Python and I like it for general tasks but whenever I have something data analytics/visualization related I find myself reaching for R. There is so much functionality built into the language that just makes me so efficient.
Actually the model for the greenhouse effect is pretty simple, climate models are much more sophisticated than that for example CESM have about 5000 equations as the model takes into account interactions between the biosphere and the atmosphere, clouds and carbon stocks. But greenhouse effects is a really simple you can implement it yourself and verify the results, here's a good start https://en.wikipedia.org/wiki/Idealized_greenhouse_model
Well for one thing it's a waste of time to work on research that won't advance your career.
Also, I'm not saying "heterodox scientists have secret, bulletproof analyses to disprove climate change," I'm saying that there are significant incentives against publishing climate-crisis-skeptical research. I'm unsure how anyone can disagree with that. Acknowledging it doesn't mean denying climate change is real or accepting that its risks are exaggerated.
> . What else hasn't been researched enough and has simplistic assumptions baked into the climate models?
Simplistic assumptions does not necessarily have favorable outcomes, on the contrary, it's more likely that climate change is worse than what we think it is because of our assumptions. Also climate models are insanely complex, usually contain thousands of equations that sum up the research efforts over the last hundred years, it's not some simple model that one guy can implement in an evening as you are basically trying to simulate the whole earth from the scale of plant stomata and molecular diffusion to the entire boundary layer plus the interactions and feedbacks between the different parts of the earth system.
