RedstoneValley

YouTube paid by the time people actually watched the videos in the past (as far as I know this changed recently) so there was a real incentive for Youtubers to add a lot of worthless filler to the videos

yw, also subscribing to the people providing good content should help too. Most of my feed is from subscriptions, with related content inbetween

I'm not encouraging you to use YouTube, but if you do, marking stuff you aren't interested in and removing every slop video from your watch history can help a lot. The YouTube algorithm very rarely recommends slop to me

Possible, but they would more likely see more false positives depending on how suspicious they are... like when people suspected images to be photoshopped in the past.

Indeed. The average person seems to need instagram, whatsapp and xitter to fill their meaningless little isolated lives with distractions to feel... something. However on a more positive note, once people get suspicious about AI slop they tend to notice the slop patterns more easily, which is a good development. It's something that can't be unseen.

AI fits very well into the "Workism" narrative. As LLMs generate the statistical medium of all the training data it has, the output is mediocre by design. That makes it an excellent tool for bullshit work, like creating an email summary of a meeting that no one will ever read, and countless other mindless and useless daily chores of the "knowledge worker".

But the basic premise hasn't moved an inch with AI. If you have a job which rewards creativity and needs you to develop new ideas, solve hard problems etc. then AI doesn't do shit for you. AI gives mediocre answers to mediocre people. It's not creative at all. It spits out the average of the sum of its training data points. If your job consists mostly of doing mindless chores then it is not a good job anyway. Nothing to be proud of, not a career, just a job.

You're missing the point. These companies took the knowledge of the world for free and are now selling it back to us for money. Your comparison doesn't hold up. A better analogy might be a private school stealing exactly one school book and rewriting it slightly, then selling it to the pupils. And that a billion times over

There is another problem which keeps stocks like Tesla afloat when it really should have tanked a long time ago: Index funds based on indexes like S&P 500 etc., where investors are automatically buying Tesla stock when buying into the fund, which stabilizes the stock in question. Musk knows this and that was the exact reason why he tried to get indexes to bend the rules of inclusion for spaceX to be included in indexes earlier than usual. The grave consequences are people investing in index funds are directly milked. Pension funds often include indexes, so what Musk is doing there is in effect trying to steal from people who did not actively invest in SpaceX.

Using generated lines of code as a metric is always a good idea

/S

These models generally are not capable enough to do one-shot vibe coding. They are pretty good as coding assistants if you tell them exactly what you want and let them focus on a specific aspect/part of code, not the whole thing at once.

Using an agent framework (I like Kilo on VSCode but there are many others) you can start with a planning session to let the model find out what you want to build. Then you let it write that gist into AGENTS.md and double check if that is what you want. AGENTS.md will be loaded into the context automatically so the model has a solid base of understanding for everything you do afterwards. Once you have that, building in vertical slices on top of that skeleton is much easier. Another neat trick is to ask the model a few questions about the current code base (if there is any...) at the beginning of a session, e.g. "How does feature x work in the current code? ". This primes the model for what you are about to do. All this is obviously a bit more work than just vibe coding away, but it lets you keep in control of the code and helps in being alert for errors these models (and all LLMs in general) will inevitably produce.

You could use the 35B MoE model, tune it a little bit and get much better results. I have a 5060 ti and 70-80 tok/s are the norm

I switched to a US keyboard with EURkeys keyboard layout (alt-u for ü etc) and I'm very happy with it. Common keys for programming like backslash, square/curly brackets, pipe, tilde and of course the backticks are just horrible to use on a German keyboard.