I’m not denying that, but the comment above is talking about a story about a woman discovering she’s a bot,.

Lately there’s been someone chopping chives every day and posting a photo of the result.

There was a bit of a drama when someone noticed that the same photo was reused from a couple of weeks back.

The poster said they didnt have time to do it that day but wanted to keep the streak so they just re-posted an old one hoping no one would notice.

It was just such an amazing and engaging sequence of events and I feel fulfilled having been able to follow this roller coaster of emotion /s.

Bob only thinks hes human for about half a page?

I use redlib to lurk.

I find the drama subs like /r/AITAH entertaining. I know its all fake, but the groupthink responses are intriguing.

Signing up with a fake name is not the same as not requiring a name to sign up.

Why?

I think i agree for the most part.

These energies would be better spent ensuring that porn stars aren’t being exploited and have access to appropriate support.

Probably not that much honestly.

The resource intensive part is the initial training.

Tuning later is much less so.

People have been talking about “post scarcity” since forever.

Yes, in the far distant future people will be able to have things they need and not have to work. AI will also exist in that future.

However, I don’t think anyone believes that future will arrive in the next decade.

This isbprobably a philosophical question that i dont know the answer to, but its still a waste.

I suspect record numbers of Americans would leave given the chance.

Its just an authoritarian shit hole at this point.

This is really just a guess but… I think “agent” in this context means a personalised AI.

Training gen AI models requires huge amounts of resources. Its not practical to train an AI for your personal use.

Creating an agent is something like, taking an existing model, asking it to keep your entire browser history in mind while you ask it to do your homework.

IMO its actually one of the big limitations of gen AI, but somehow the word is supposed to mean the opposite. As in, the current approach has reached a dead end requiring exponentially more resources for less and less improvement. So because we can’t make a model that just knows or learns everything, we have to make agents that know lots about specific things.

Not sure what youre getting at.

Obviously it depends how good and how bad.

Also, there going to show both - but the frequency of each will depend on their assessed likelihood that im going to click and the revenue generated if I do so.

Is it only me that finds personalised / targeted ads to be very poorly personalised and targeted ?

Sorry what?

I think I’ve misunderstood you because this is certainly possible, and I’m sure you’re aware of that.

I have a 32 inch 1080p monitor as my secondary

I honestly find this hard to believe. I have 2x 32 inch monitors on my desk and in 1920x1080 they’re ugly to the point of distraction.

if you are going big why spend the money on a 4k one if you are just going to use scaling anyway?

4k isn’t that expensive. you can get 32 inch 4k monitors for a few hundred dollars.

Scaling is not the same as reducing the resolution.

There’s this thing called scaling that allows you to see things in an appropriate size but higher definition.

Anyone who uses spreadsheets regularly wants the extra real estate. Anyone who works with complex documents wants the extra real estate.

It’s not about more dots on your 24 inch, it’s about larger monitors that can display more stuff simultaneously. Instead of 4x 1080p monitors you can have 2x larger 4k monitors. Offer this to anyone who makes money by staring at a screen all day and they’ll tell you it’s worth it.

What about the vast majority of people who stare at screens for work?

Frame rates aren’t really important, it’s making things more readable in less space.

The cost / benefit is a completely different dynamic.

Subjective obviously.

The resolution (4k in this case) defines the number of pixels to be shown to the user. The bitrate defines how much data is provided in the file or stream. A codec is the method for converting data to pixels.

Suppose you’ve recorded something in 1080p (low resolution). You could convert it to 4k, but the codec has to make up the pixels that can’t be computed from the data.

In summary, the TV in my living room might be more capable, but my streaming provider probably isn’t sending enough data to really use it.