I just wish people had long enough memories to see the cycle for terms like these. Some new word catches vogue, companies fall over themselves trying to find ways to implement them for shareholders and consumers who have no idea what they actually represent. As that fades, a new term arises… it’s sad.
And virtual reality gets a free revival every other technology, while we’re at it.
I’m predicting VR coming back into the limelight, try again, shortly after everyone loses interest in AI.
Also, I’m still pissed that flying cars aren’t in the limelight more. I was promised daily updates, and I’m not seeing them. That’s the biggest proof that the media is completely disconnected.
Blockchain also has problems its solving I recon the whole not bullshit was a psyop by thr us government cos finances that they couldn’t have absolute control over would allow the people to bs free. I recon monero is the best as of present especially since its actually anonymous payments.
I am so over hearing about AI. It’s getting to the point that I can assume anyone dropping the term at work is an idiot that hasn’t actually used or utilised it.
It’s this LLM phase. It’s super cool and a big jump in AI, but it’s honestly not that good. It’s a handy tool and one you need to heavily scrutinise beyond basic tasks. Businesses that jumped on it are now seeing the negative effects of thinking it was magic from the future that does everything. The truth is, it’s stupid and people need to learn about it, understand it, and be trained in how to use it before it can be effective. It is a tool, not a solution—at least for now anyways.
I equate an AI to an intern. It’s useful for some stuff but if I’m going to attach my name to it I’m going to review it and probably change a lot about it.
There’s one good use case for me: produce a bigload of trialcontent in no time for load testing new stuff. “Make 2000 yada yada with column x and z …”. Keeps testing fun and varied while lots of testdata and that it’s all nonsense doesn’t matter.
I’ve found that testing code or formulas with LLM is a 50/50 now. Very often replying “use function blabla() and such snd so” very detailed instructions while this suggested function just doesn’t exist at all in certain language asked for… it’s still something I’ld try if I’m very stuck tho, never know.
Very often replying “use function blabla() and such snd so” very detailed instructions while this suggested function just doesn’t exist at all in certain language asked fo
I’ve noticed this a lot too—especially for M. But even though it makes up a function, it sometimes inspires a more optimised idea/method that can be more flexible for future datasets.
But most times it starts to massacre things and disregard prompted parameters or even producing an identical suggestion immediately after being told not to, why not to, and reconfirming original parameters of the query.
Some times punching in the same prompts five times for five iterations produces completely different results, but one may be on the right track and I can code the rest. It helps to set it’s personality first, so it’s sharing ideas it’s seen out there, rather than trying to please.
At the least, it’s a big time saver. Gone are the days where I get a few days spare to work on solving a complex problem through trial and discovery, so it’s an excellent tool for reducing testing time and speeding up the route to an optimised method.
notice how all of those crypto features were quietly removed from platforms after people realised they were paying millions for some numbers, i think that will happen with Ai
I just got a notification on my phone telling me that I can chat with my PDF documents. Why the fuck would I want to do that? Do these companies realize that literally no one is asking for this shit? I also saw an ad for a computer mouse that had AI inside it. Whatever that means.
Oddly enough, that’s one of the few functions I’ve found the LLMs useful for. Looking through big pdfs for specific information, lots of times “ctrl+f” doesn’t do the trick because the exact term I’m looking for doesn’t appear. Worse sometimes it’s a phrase that could be in there under many synonyms. Using the LLM to find the actual info is pretty nice, it just isn’t “AI”.
Don’t knock it too quickly. I thought like you but one evening I was a little tipsy and started chatting with a PDF document. Let’s just say things got a heated and now we’re engaged.
My research was literally on AI back in college. Most AI solutions are just basic algorithms and don’t use real AI solutions. There’s a huge difference.
It’s even better than that. A lot of companies are taking NVIDIA’s pre-built workflows, running their data through them and selling the results as their own AI. “We build proprietary RAG AI!”
Watched a bit of a video of a guy that went to Computex and asked any vendor with AI plastered somewhere what they were doing with it. Most spouted some meaningless word salad and a few literally shrugged.
Majority of the “AI inside” software and solutions. It’s in a bubble and everyone is throwing crap to a wall hoping it sticks.
“AI” is the new “blockchain”. It’s a solution looking for a solid problem to tackle, with some niche applications
I mean, at least Ai has SOME useful applications, the blockchain was just wasting energy for some numbers.
I just wish people had long enough memories to see the cycle for terms like these. Some new word catches vogue, companies fall over themselves trying to find ways to implement them for shareholders and consumers who have no idea what they actually represent. As that fades, a new term arises… it’s sad.
And virtual reality gets a free revival every other technology, while we’re at it.
I’m predicting VR coming back into the limelight, try again, shortly after everyone loses interest in AI.
Also, I’m still pissed that flying cars aren’t in the limelight more. I was promised daily updates, and I’m not seeing them. That’s the biggest proof that the media is completely disconnected.
We have flying cars. They’re called helicopters, and they suck for most activities
Good point.
I’m willing to accept a reality where the science magazines are constantly excited about every development in helicopter technology.
Blockchain also has problems its solving I recon the whole not bullshit was a psyop by thr us government cos finances that they couldn’t have absolute control over would allow the people to bs free. I recon monero is the best as of present especially since its actually anonymous payments.
I am so over hearing about AI. It’s getting to the point that I can assume anyone dropping the term at work is an idiot that hasn’t actually used or utilised it.
It’s this LLM phase. It’s super cool and a big jump in AI, but it’s honestly not that good. It’s a handy tool and one you need to heavily scrutinise beyond basic tasks. Businesses that jumped on it are now seeing the negative effects of thinking it was magic from the future that does everything. The truth is, it’s stupid and people need to learn about it, understand it, and be trained in how to use it before it can be effective. It is a tool, not a solution—at least for now anyways.
I equate an AI to an intern. It’s useful for some stuff but if I’m going to attach my name to it I’m going to review it and probably change a lot about it.
There’s one good use case for me: produce a bigload of trialcontent in no time for load testing new stuff. “Make 2000 yada yada with column x and z …”. Keeps testing fun and varied while lots of testdata and that it’s all nonsense doesn’t matter.
I’ve found that testing code or formulas with LLM is a 50/50 now. Very often replying “use function blabla() and such snd so” very detailed instructions while this suggested function just doesn’t exist at all in certain language asked for… it’s still something I’ld try if I’m very stuck tho, never know.
I’ve noticed this a lot too—especially for M. But even though it makes up a function, it sometimes inspires a more optimised idea/method that can be more flexible for future datasets.
But most times it starts to massacre things and disregard prompted parameters or even producing an identical suggestion immediately after being told not to, why not to, and reconfirming original parameters of the query.
Some times punching in the same prompts five times for five iterations produces completely different results, but one may be on the right track and I can code the rest. It helps to set it’s personality first, so it’s sharing ideas it’s seen out there, rather than trying to please.
At the least, it’s a big time saver. Gone are the days where I get a few days spare to work on solving a complex problem through trial and discovery, so it’s an excellent tool for reducing testing time and speeding up the route to an optimised method.
notice how all of those crypto features were quietly removed from platforms after people realised they were paying millions for some numbers, i think that will happen with Ai
I just got a notification on my phone telling me that I can chat with my PDF documents. Why the fuck would I want to do that? Do these companies realize that literally no one is asking for this shit? I also saw an ad for a computer mouse that had AI inside it. Whatever that means.
I just got a notification on my phone telling me that I can chat with my PDF documents
I belive you got that notification but I honestly have no idea what it even means.
It’s from the Adobe Acrobat app. Basically you can ask it to give you a summary of whatever document you’re reading.
Oddly enough, that’s one of the few functions I’ve found the LLMs useful for. Looking through big pdfs for specific information, lots of times “ctrl+f” doesn’t do the trick because the exact term I’m looking for doesn’t appear. Worse sometimes it’s a phrase that could be in there under many synonyms. Using the LLM to find the actual info is pretty nice, it just isn’t “AI”.
Don’t knock it too quickly. I thought like you but one evening I was a little tipsy and started chatting with a PDF document. Let’s just say things got a heated and now we’re engaged.
My research was literally on AI back in college. Most AI solutions are just basic algorithms and don’t use real AI solutions. There’s a huge difference.
It’s even better than that. A lot of companies are taking NVIDIA’s pre-built workflows, running their data through them and selling the results as their own AI. “We build proprietary RAG AI!”
I can’t wait to get a Smart AI refrigerator that tells me I have a bunch of food that isn’t really in there even when I didn’t ask it to.
Watched a bit of a video of a guy that went to Computex and asked any vendor with AI plastered somewhere what they were doing with it. Most spouted some meaningless word salad and a few literally shrugged.