I think this was the version right before WYSIWIG support was added. So you could still use fonts, and change font sizes but on screen it would show a strange notation but not the actual font. Complex layouts were tough 😅

When I was young I remember that banks often had large drive-thrus with pneumatic tube systems at each car stall.

There would only be one teller but they could serve quite a few lanes.

If you wanted a cash withdrawal, you might put your ID and your withdrawal slip in the tube, and a few minutes later it would come back with cash in it.

It was pretty rad. But ATMs seem like a better bet overall.

There’s a pretty good chance that every employee facing this offer is in a position where Dell sees them as replaceable. They want people who follow orders and not much more, so if you want to look at it through that filter Dell got what they wanted.

Unless somebody over there at the top is crazy, Dell would have had individual deals with the true innovators, decision makers, movers and shakers internally who are viewed as top tier and irreplaceable.

It sounds obvious on the surface but higher wages don’t always equal happier staff or more output.

I don’t think the staff making 500k at OpenAI will be measurably happier with another 100k, for example.

But there is definitely a lot to be gained by getting staff as far away from a sense of poverty as possible and ikea might have helped their line workers a lot with this change.

Hell to the no.

There must be bots trolling GitHub for API keys, crypto secret keys, and other such valuable data

One of the best things ever about LLMs is how you can give them absolute bullshit textual garbage and they can parse it with a huge level of accuracy.

Some random chunks of html tables, output a csv and convert those values from imperial to metric.

Fragments of a python script and ask it to finish the function and create a readme to explain the purpose of the function. And while it’s at it recreate the missing functions.

Copy paste of a multilingual website with tons of formatting and spelling errors. Ask it to fix it. Boom done.

Of course, the problem here is that developers can no longer clean their inputs as well and are encouraged to send that crappy input straight along to the LLM for processing.

There’s definitely going to be a whole new wave of injection style attacks where people figure out how to reverse engineer AI company magic.

The strategy makes a lot of business sense too. It’s why piracy controls in Microsoft Windows were so weak for so long.

Steve Ballmer said something along the lines of if the Chinese are going to pirate software, I want it to be Microsoft software.

I’m not sure if this game has an online mode but generally speaking the network effect of online means more people playing equals a better online experience. If half those people didn’t pay, the ones who did pay still get a better online experience right?

There’s a program called Xevil that can solve even HCaptcha reliably, and it can solve these first gen captions by the thousands per second. It’s been solving Google’s v3 recaptchas for a long time already too.

People who write automation tools (unfortunately, usually seo spammers and web scrapers) have been using these apps for a long time.

Captchas haven’t been effective at protecting important websites for years, they just keep the script kiddies away who can’t afford the tools.

The only 3rd party reddit app I know that is still free is RedReader. Might be others too.

Sucks they refuse to let up on the API ban but it’s cool, we needed to get off reddit anyway.

My doom scrolling is way down over the past year.

I think we’ll improve this a lot. Now it’s a race to be first, later it will be a race to be profitable and keep costs low.

Plus the sun outputs a lot more energy than earth can ever consume so we just need to get better at collecting it without creating waste on the side.

Interesting concept. Like if you could upvote/downvoted the SERP and it actually mattered and wasn’t easy to manipulate.

Icq was bought a while ago and the buyer nuked the original user database. Not long ago I found my login info saved on an old zip drive and tried it. Was hoping my old buddies might still be there, hahahah.

Nope, icq as most remember it was toast maybe a decade ago.

Anybody seriously believing this has a misunderstanding of how little people care about what OS they use and how much they care that it works the way they expect.

Well thought-out and articulated opinion, thanks for sharing.

If even the most skilled hyper-realistic painters were out there painting depictions of CSAM, we’d probably still label it as free speech because we “know” it to be fiction.

When a computer rolls the dice against a model and imagines a novel composition of children’s images combined with what it knows about adult material, it does seem more difficult to label it as entirely fictional. That may be partly because the source material may have actually been real, even if the final composition is imagined. I don’t intend to suggest models trained on CSAM either, I’m thinking of models trained to know what both mature and immature body shapes look like, as well as adult content, and letting the algorithm figure out the rest.

Nevertheless, as you brought up, nobody is harmed in this scenario, even though many people in our culture and society find this behavior and content to be repulsive.

To a high degree, I think we can still label an individual who consumes this type of AI content to be a pedophile, and although being a pedophile is not in and of itself an illegal adjective to posses, it comes with societal consequences. Additionally, pedophilia is a DSM-5 psychiatric disorder, which could be a pathway to some sort of consequences for those who partake.

A lot of people talk about decision fatigue in their jobs. So it’s a gift of self care to buy 10 of the same shirt, eat the same lunch every day, etc

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Oh, nvm, sorry

┬⁠─⁠┬⁠ノ⁠(⁠ ⁠º⁠ ⁠_⁠ ⁠º⁠ノ⁠)

Well stated and explained. I’m not an AI researcher but I develop with LLMs quite a lot right now.

Hallucination is a huge problem we face when we’re trying to use LLMs for non-fiction. It’s a little bit like having a friend who can lie straight-faced and convincingly. You cannot distinguish whether they are telling you the truth or they’re lying until you rely on the output.

I think one of the nearest solutions to this may be the addition of extra layers or observer engines that are very deterministic and trained on only extremely reputable sources, perhaps only peer reviewed trade journals, for example, or sources we deem trustworthy. Unfortunately this could only serve to improve our confidence in the facts, not remove hallucination entirely.

It’s even feasible that we could have multiple observers with different domains of expertise (i.e. training sources) and voting capability to fact check and subjectively rate the LLMs output trustworthiness.

But all this will accomplish short term is to perhaps roll the dice in our favor a bit more often.

The perceived results from the end users however may significantly improve. Consider some human examples: sometimes people disagree with their doctor so they go see another doctor and another until they get the answer they want. Sometimes two very experienced lawyers both look at the facts and disagree.

The system that prevents me from knowingly stating something as true, despite not knowing, without some ability to back up my claims is my reputation and my personal values and ethics. LLMs can only pretend to have those traits when we tell them to.

This whole thing happened 30 years ago now. Wow. These two must be in their 50s now. It was such a media circus at the time.

Damn, I’d even works on mobile