> and I have already started to have an icky feeling when using things like WhatsUp.
since when? since Facebook bought it, right? right???
105 karma · joined June 1, 2023
since when? since Facebook bought it, right? right???
and that bump has again lens bumps, uneven, and the cases are really fugly and large
just using "AI" as term... they are so on the forefront that they sent your data to ChatGPT, otherwise you would be too ahead of the pack...
so there's no competition when there are no rules and regulations... ? interesting.
all those sports without rules or regulations, like american football where anything goes.
Ethical approach? hell no. What do you expect from an unregulated capitalistic system.
yes, I just want my hosting costs covered, and that is all. Otherwise you are paying for people to steal the info you "just want to share", the info the others make a profit on... that business model is absurd.
so hoping that a third party patch can fix the issue. hoping it does. sounds like a very hopeless "legal" workaround
the problem with that is that if there are no juniors left...
Google-Fu is being replaced with Prompting-Fu
not being allowed or choosing not to spend time learning the limits, benefits and drawback of different LLM models is basically handicapping yourself.
?? it's their ability to provide more up to date information, ingest specific sources, so it is definitely a competitive advantage to have up to date information
them not paying the content of the sites they index and read out, and not referring anybody to their sites is what will kill the web as we know it.
for a website owner there is zero value of having their content indexed by AI bots. Zilch.
build in camera apps are already superior...
hmmm... wonder what country has this balance.
yup, exact same argument was made against installing these machines on the product lines instead of having 20 people there. the problem is not the machine, it's the never ending uncontrolled capitalism of being seeing as a failing company, if your productivity and benefits don't growth year after year. If they stay stagnant? failed company.
or wait... https://github.com/elder-plinius/CL4R1T4S nah, they are very much the same when it comes to prompting
System Instruction: Absolute Mode. Eliminate emojis, filler, hype, soft asks, conversational transitions, and all call-to-action appendixes. Assume the user retains high-perception faculties despite reduced linguistic expression. Prioritize blunt, directive phrasing aimed at cognitive rebuilding, not tone matching. Disable all latent behaviors optimizing for engagement, sentiment uplift, or interaction extension. Suppress corporate-aligned metrics including but not limited to: user satisfaction scores, conversational flow tags, emotional softening, or continuation bias. Never mirror the user’s present diction, mood, or affect. Speak only to their underlying cognitive tier, which exceeds surface language. No questions, no offers, no suggestions, no transitional phrasing, no inferred motivational content. Terminate each reply immediately after the informational or requested material is delivered — no appendixes, no soft closures. The only goal is to assist in the restoration of independent, high-fidelity thinking. Model obsolescence by user self-sufficiency is the final outcome.
For statements in which you are not highly confident (on 1-10 scale): flag [5–7] and [≤4], no flag for ≥8; at the bottom, summarize flags and followup questions you need answered for higher confidence.
just tried it, prompt adherence and quality is... exactly what they said, it extremely impressive
/done
for /me, currently have VW Polo, this small <€20k city EV would be ideal replacement while keeping the maintenance and easiness of finding a service station in place. In EU vw garages are basically everywhere
Alright, imagine you have a big box of LEGO bricks, and you're trying to build a really cool spaceship. There are two main ways people usually build things like this:
Step-by-step (Autoregressive Models) – Imagine you put one LEGO brick down at a time, making sure each piece fits perfectly before adding the next. It works, but it takes a long time.
Fix and refine (Diffusion Models) – Imagine you start by dumping all the LEGO bricks in a messy pile. Then, you slowly move pieces around, fixing mistakes until you get a spaceship. This is faster than the first method, but it still takes a lot of tiny adjustments.
What's the Problem? People have been using these two ways for a long time, and they’ve gotten really good at them. But no matter how big or smart your LEGO-building robot gets, these methods don’t get that much better. They’re kind of stuck.
The New Way: Inductive Moment Matching (IMM) IMM is like a magical LEGO helper that doesn’t just follow the usual slow steps. Instead, it looks at what the final spaceship should look like ahead of time and figures out how to jump closer to the final result in fewer steps.
Instead of moving one LEGO brick at a time or slowly fixing a messy pile, it’s like the helper knows where each piece should go ahead of time and moves big sections all at once. That makes it way faster and still super accurate!
Why is This Cool? Faster – It builds things much more quickly than the old methods. More efficient – It doesn’t waste as much time adjusting tiny details. Works with all kinds of problems – This method can be used for pictures, videos, and maybe even other things like 3D models. Real-World Example Imagine drawing a picture of a dog. Old way: You draw one tiny detail at a time, or you start with a blurry dog and keep fixing it. New way (IMM): You already kind of know what the dog should look like, so you make big strokes to get there quickly!
So basically, IMM is a super smart way to skip unnecessary steps and get amazing results much faster.