Aedis

Ground Beef Version - The biggest practical shift is the widespread adoption of ground beef stroganoff as a budget-friendly, weeknight alternative. This isn't exactly revolutionary, but it's become increasingly popular as a way to make the dish more accessible and faster (30 minutes vs. traditional preparation).

Vegan/Plant-Based Stroganoff - There's growing interest in vegan versions using plant-based "beef" products from brands like Beyond, Impossible, and Gardein, along with vegan sour cream and heavy cream alternatives. This represents a significant adaptation for dietary preferences.

Chinese "Velveting" Technique - Some cooks are applying the Chinese meat tenderizing technique called "velveting" to budget cuts of beef, which involves coating the meat in cornstarch and briefly blanching. This lets people use cheaper cuts while still achieving tender results.

Key Technique Refinements include:

tra-fast searing (30 seconds per side) on super-high heat to prevent overcooking

Using a sealed plastic bag to tenderize and season beef (cleaner process)

Greek yogurt as a lighter substitute for sour cream

Adding umami boosters like fish sauce

Are all uses of ai out of the question?

I understand most of the reasoning around this. Training ai models requires gigantic datacenters that consume copious amounts of resources (electricity and water) making them more expensive for everyone for something that doesn't have much benefits. If anything it feels like its fuled a downturn in quality of content, intelligence and pretty much everything.

With the recent job market in the US I've found myself having little to no choice on what I work on and I've found myself working on ai.

The more I learn about it the angrier I get about things like generative ai. So things that are open ended like generating art or prose. Ai should be a tool to help us, not take away the things that make us happy so others can make a quick buck taking a shortcut.

It doesn't help that ai is pretty shit at these jobs, spending cycles upon cycles of processing just to come up with hallucinated slop.

But I'm beginning to think that when it comes to ai refinement there's actually something useful there. The idea is to use heuristics that run on your machine to reduce the context and amount of iterations/cycles that an ai/LLM spends on a specific query. Thus reducing the chance of hallucinations and stopping the slop. The caveat is that this can't be used for artistic purposes as it requires you to be able to digest and specify context and instructions, which is harder to do for generative ai (maybe impossible, I haven't gone down that rabbit hole cause I don't think ai should be generating any type of art at all)

The ultimate goal behind refinement is making existing models more useful, reducing the need to be coming up with new models every season and consuming all our resources to generate more garbage.

And then making the models themselves need less hardware and less resources when executed.

I can come up with some examples if people want to hear more about it.

How do you all feel about that? Is it still a hard no in that context for ai?

All in all hopefully I won't be working much longer in this space but I'll make the most of what I'm contributing to it to make it better and not further reckless consumption.

Title.

Does anyone think it would be a good idea to have a rule to prevent race spoilers on this community till 24hrs after a race?

Given the nature of races being in a different part of the world every time, time zones vary greatly and it's not always possible to watch a race "live".

Personality I would like to stay subbed to this community, so I can get f1 news and posts when I browse Lemmy. But if it isn't possible to make a rule like that and I'm likely to get a spoiler I would have to either stop using Lemmy for 24hrs (oh the horror) or unsub from this community.

Just a thought.

Have you all received any updates about beef strogonoff lately?

That is all.