That doesn't work because of the contradiction of NERFs needing multiple images of the same geometry and stable diffusion not producing images with stable underlying geometry because it's purely image-based.
Search for yoga on TikTok and Instagram and compare the results. Guess which one returns almost all softcore pornography vs actually educational content. It's not a surprise which one teenagers would find more engaging.
Source? Ben & Jerry's had 9% sales growth last year, out pacing the rest of the market at 4.5%. They haven't reported this year so I'm wondering where you're reading that, I can't find anything.
> New York’s state pension fund said it would sell its shares in Ben & Jerry’s owner Unilever PLC following a review of the ice-cream brand’s decision to stop retailing its products in Jewish settlements located in the Israeli-occupied West Bank.
> State officials said Friday that the New York State Common Retirement Fund, the third-largest public pension fund in the U.S., planned to sell $111 million in Unilever investments, accusing the company of breaking its policy that prohibits the boycott of Israel.
> New York’s decision to divest follows similar moves by New Jersey and Arizona, which have also sold Unilever holdings over the issue. Other states have said they were evaluating whether their funds would need to sell their Unilever investments.
So let me get this straight...because some groups got these BS unconstitutional anti-BDS laws passed in various states, they are now divesting from companies because of Unilever's refusal to sell in the occupied territories?
At what point do you just accept that the whole system is corrupt and rotten from top to bottom?
I found Kubeflow Pipelines to be worse than vanilla Argo. Not only is the documentation poor for the python DSL that gets compiled to the Argo workflow spec but some operations are downright impossible to express in the DSL. Vanilla Argo + RBAC works wonderfully especially with Argo Server since v3+.
I agree. For anything sophisticated you have to use the Kubernetes Python client combined with the KFP DSL. The compiled Argo Workflow spec can become such a mess that you quickly run into a size limitations -- especially if you choose to deploy a Python function directly (which then uses Kaniko to build the containers in cluster and run them via Argo Workflows). At that point I would rather use Argo directly. And KFP is generally quite behind in Argo Workflow versions.
And it's not like KFP makes CI/CD (MLOps) any easier than Argo Workflows itself.
> This repo is attempting to apply Benford's Law to vote count distribution, so that's what actually needs to span multiple orders of magnitude. Precinct distribution is a factor in vote count distribution but it doesn't tell the whole story. I don't see the Milwaukee data in this repo, but take a look at the Chicago data: https://github.com/cjph8914/2020_benfords/blob/main/data/chi... Biden's vote totals are solidly contained within one order of magnitude, the 100-999 range. Trump's vote totals range from single digits into the hundreds, across three orders of magnitude. Jo Jorgensen is mostly in the 0-20 range, across two orders of magnitude.
The pattern holds true even in 3 digits order of magnitude. The link I shared shows an analysis for 2nd digit Benfords as well, where Biden's is suspect and his opponent's is not.
imgur.com/a/gxuVAxc
Plus there are numerous other examples across different states with the same patterns, which is troubling.
Wow it's almost like ice breaks off and drifts away increasing extent as it is melting. A smarter person might look for the total ice mass over time and would find a massive fucking decline. But yeah.
