ChatGPT

Mook

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Kinda surprised this hasn't been posted here yet. Pretty crazy new AI thingy.


Q: Describe the different battery technologies using Super Mario analogies
A: It's difficult to describe different battery technologies using analogies from the Super Mario video game series, since the games do not include any explicit references to batteries or battery technologies. However, here are some possible analogies that could be used to describe different battery technologies using Super Mario-themed language:
Lithium-ion batteries: Lithium-ion batteries could be described as the "Super Mushrooms" of the battery world, because they are the most commonly used and widely recognized type of battery, just like the Super Mushroom is the most common and iconic power-up in the Super Mario games.
Solid-state batteries: Solid-state batteries could be described as the "Fire Flowers" of the battery world, because they have the potential to offer improved performance and reliability over traditional lithium-ion batteries, just like the Fire Flower gives Mario the ability to shoot fireballs and defeat enemies that he could not defeat with his regular jumping and stomping abilities.
Lithium-sulfur batteries: Lithium-sulfur batteries could be described as the "Cape Feathers" of the battery world, because they have the potential to be lighter, smaller, and more energy-dense than traditional lithium-ion batteries, just like the Cape Feather gives Mario the ability to fly and glide over gaps and obstacles that he would not be able to overcome with his regular jumping abilities.
Lithium-air batteries: Lithium-air batteries could be described as the "Super Stars" of the battery world, because they have the potential to offer significantly longer battery life and higher energy density than traditional batteries, just like the Super Star gives Mario invincibility and the ability to defeat any enemy with a single touch.
Sodium-ion batteries: Sodium-ion batteries could be described as the "Coins" of the battery world, because they are made from more abundant and less expensive materials than traditional lithium-ion batteries, making them more sustainable and potentially more affordable, just like coins are a more common and less valuable currency than the rarer and more valuable Star or Fire Flower power-ups.
Supercapacitors: Supercapacitors could be described as the "Super Leaf" of the battery world, because they are able to charge and discharge very quickly, allowing them to provide high power density for short periods of time, just like the Super Leaf gives Mario the ability to fly and glide for a short time before he has to touch down and recharge.
Fuel cells: Fuel cells could be described as the "Invincibility Stars" of the battery world, because they are able to generate electricity continuously as long as they have a supply of fuel, and they have the potential to be much more efficient and longer-lasting than traditional batteries, just like the Invincibility Star gives Mario invincibility and the ability to defeat any enemy without taking damage.
 

Fish

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I wanted to use this for Huggerorange73 Huggerorange73 and Shawn1112 Shawn1112 in the Bears thread, but it came up with the what could only be the equivelant of Steve Buscemi of "hip" teenager results.

1671501616393.png


Ive only had it done stupid things, but so far it can be interesting and at times even scary how well it can answer and do things.
 

sickmint79

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good video on this.

i also expected universal basic income to come at some point - because of a creep for jobs and skills requiring higher iqs. jordan peterson has a good (older) clip on joe rogan how the army can't take people under x iq because they can't find anything that's actually beneficial for them to do; they end up being net drags on productivity. so with a world of growing complexity it seemed like we'd need UBI at some point, so i expected that point some time in most of our lifetimes. now with the newer AI stuff, the case for it being made in the much shorter term is certainly there.



i work in machine learning and have access to my prior company and current company's technology, both are pretty cool - but they are not generative things like this. i think this guy lays out some stuff pretty well - and very arguably we are going to witness and live through the greatest transformation of humanity ever.
 
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Fish

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I’ve already seen some videos where they use ChatGPT for the bulk of it. Very interesting. One guy fed it the names of everyone in the upcoming Capcom Cup, and it spun a story and gave match results. Also started having fan fiction results as well. It was preset funny.



Linus has used it for a few things, and even had it give him instructions on how to build a PC. It did a scary yet 80ish% good job.
 

FirstWorldProblems

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What's funny is that it'll still probably be at least 10 years until schools stop making kids write essays. Kinda like how they spent years teaching us two different ways to write english instead of teaching us something of actual value, like learning a 2nd language

Will mainstream "journalists" (quoted because that's a rather generous term for them nowadays) become obsolete in the next few years? If so....GOOD

sickmint79 sickmint79 do you see this replacing a lot of programmers?
 

SpeedSpeak2me

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It's not going so well for everyone that's using it:


Aside from stringing together human-like, fluid English language sentences, one of ChatGPT’s biggest skillsets seems to be getting things wrong. In the pursuit of generating passable paragraphs, the AI-program fabricates information and bungles facts like nobody’s business. Unfortunately, tech outlet CNET decided to make AI’s mistakes its business.

The tech media site has been forced to issue multiple, major corrections to a post published on CNET, created via AI, as first reported by Futurism. In one single AI-written explainer on compounding interest, there were at least five significant inaccuracies, which have now been amended. The errors were as follows, according to CNET’s hefty correction:

  • The article implied a savings account initially containing $10,000 with a 3% interest rate, compounding annually, would accrue $10,300 in interest after a year. The real earned interest would amount to $300.
  • An error similar to the above showed up in a second example, based on the first.
  • The post incorrectly stated that one-year CD accounts’ interest only compounds annually. In reality: CD accounts compound at variable frequencies.
  • The article mis-reported how much a person would have to pay on a car loan with a 4% interest rate over five years.
  • The original post incorrectly conflated APR and APY, and offered bad advice accordingly.
For more than two months, CNET has been pumping out posts generated by an artificial intelligence program. The site has published 78 of these articles total, and up to 12 in a single day, originally under the byline “CNET Money Staff,” and now just “CNET Money.” Initially, the outlet seemed eager to have its AI authorship fly under the radar, disclosing the lack of a human writer only in an obscure byline description on the robot’s “author” page. Then, Futurism and other media outlets caught on. Critique followed. CNET’s editor in chief, Connie Guglielmo, wrote a statement about it.

And just like the outlet’s public acknowledgement of its use of AI only followed widespread criticism, CNET didn’t identify nor aim to fix all these inaccuracies noted on Tuesday, all on its own. The media outlet’s correction only came after Futurism directly alerted CNET to some of the errors, Futurism reported.

CNET has claimed that all of its AI-generated articles are “reviewed, fact-checked and edited” by real, human staff. And each post has an editor’s name attached to it in the byline. But clearly, that alleged oversight isn’t enough to stop artificial intelligence’s many generated mistakes from slipping through the cracks.

Usually, when an editor approaches an article (particularly an explainer as basic as “What is Compound Interest”), it’s safe to assume that the writer has done their best to provide accurate information. But with AI, there is no intent, only the product. An editor evaluating an AI-generated text cannot assume anything, and instead has to take an exacting, critical eye to every phrase, world, and punctuation mark. It’s a different type of task from editing a person, and one people might not be well-equipped for, considering the degree of complete, unfailing attention it must take and the high volume CNET seems to be aiming for with its AI-produced stories.

It’s easy to understand (though not excusable) that when sifting through piles of AI-generated posts, an editor could miss an error about the nature of interest rates among the authoritative-sounding string of statements. When writing gets outsourced to AI, editors end up bearing the burden, and their failure seems inevitable.

And the failures are almost certainly not just limited to the one article. Nearly all of CNET’s AI-written articles now come with an “Editors’ note” at the top which says, “We are currently reviewing this story for accuracy If we find errors, we will update and issue corrections,” indicating the outlet has realized the inadequacy of its initial editing process.

Gizmodo reached out to CNET for more clarification about what this secondary review process means via email. (Will each story be re-read for accuracy by the same editor? A different editor? An AI fact-checker?) However, CNET didn’t directly respond to my questions. Instead, Ivey Oneal, the outlet’s PR manager, referred Gizmodo to Guglielmo’s earlier statement and wrote, “We are actively reviewing all our AI-assisted pieces to make sure no further inaccuracies made it through the editing process. We will continue to issue any necessary corrections according to CNET’s correction policy.”

Given the apparent high likelihood of AI-generated errors, one might ask why CNET is pivoting away from people to robots. Other journalistic outlets, like the Associated Press, also use artificial intelligence—but only in very limited contexts, like filling information into pre-set templates. And in these narrower settings, the use of AI seems intended to free up journalists to do other work, more worthy of their time. But CNET’s application of the technology is clearly different in both scope and intent.

All of the articles published under the “CNET Money” byline are very general explainers with plain language questions as headlines. They are clearly optimized to take advantage of Google’s search algorithms, and to end up at the top of peoples’ results pages—drowning out existing content and capturing clicks. CNET, like Gizmodo and many other digital media sites, earns revenue from ads on its pages. The more clicks, the more money an advertiser pays for their miniature digital billboard(s).

From a financial perspective, you can’t beat AI: there’s no overhead cost and there’s no human limit to how much can be produced in a day. But from a journalistic viewpoint, AI-generation is a looming crisis, wherein accuracy becomes entirely secondary to SEO and volume. Click-based revenue doesn’t incentivize thorough reporting or well-put explanation. And in a world where AI-posts become an accepted norm, the computer will only know how to reward itself.
 
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sickmint79

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What's funny is that it'll still probably be at least 10 years until schools stop making kids write essays. Kinda like how they spent years teaching us two different ways to write english instead of teaching us something of actual value, like learning a 2nd language

Will mainstream "journalists" (quoted because that's a rather generous term for them nowadays) become obsolete in the next few years? If so....GOOD

sickmint79 sickmint79 do you see this replacing a lot of programmers?
so far the programming stuff is more complementary, as are some code suggesting editors as well. it doesn't make star trek looking sci fi that far off though where you can just ask the computer to do something and it figures it all out. especially at the pace this stuff is moving.

you certainly already have automation tools and machine learning displacing lots of other people though. the 30 experts or highly trained employees you used to have doing x can already be replaced today by keeping the 5 best and replacing 25 with some software. there's a reason the chatgpt guys are also very interested in univeral basic income...
 
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Bru

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It's not going so well for everyone that's using it:


Aside from stringing together human-like, fluid English language sentences, one of ChatGPT’s biggest skillsets seems to be getting things wrong. In the pursuit of generating passable paragraphs, the AI-program fabricates information and bungles facts like nobody’s business. Unfortunately, tech outlet CNET decided to make AI’s mistakes its business.

The tech media site has been forced to issue multiple, major corrections to a post published on CNET, created via AI, as first reported by Futurism. In one single AI-written explainer on compounding interest, there were at least five significant inaccuracies, which have now been amended. The errors were as follows, according to CNET’s hefty correction:

  • The article implied a savings account initially containing $10,000 with a 3% interest rate, compounding annually, would accrue $10,300 in interest after a year. The real earned interest would amount to $300.
  • An error similar to the above showed up in a second example, based on the first.
  • The post incorrectly stated that one-year CD accounts’ interest only compounds annually. In reality: CD accounts compound at variable frequencies.
  • The article mis-reported how much a person would have to pay on a car loan with a 4% interest rate over five years.
  • The original post incorrectly conflated APR and APY, and offered bad advice accordingly.
For more than two months, CNET has been pumping out posts generated by an artificial intelligence program. The site has published 78 of these articles total, and up to 12 in a single day, originally under the byline “CNET Money Staff,” and now just “CNET Money.” Initially, the outlet seemed eager to have its AI authorship fly under the radar, disclosing the lack of a human writer only in an obscure byline description on the robot’s “author” page. Then, Futurism and other media outlets caught on. Critique followed. CNET’s editor in chief, Connie Guglielmo, wrote a statement about it.

And just like the outlet’s public acknowledgement of its use of AI only followed widespread criticism, CNET didn’t identify nor aim to fix all these inaccuracies noted on Tuesday, all on its own. The media outlet’s correction only came after Futurism directly alerted CNET to some of the errors, Futurism reported.

CNET has claimed that all of its AI-generated articles are “reviewed, fact-checked and edited” by real, human staff. And each post has an editor’s name attached to it in the byline. But clearly, that alleged oversight isn’t enough to stop artificial intelligence’s many generated mistakes from slipping through the cracks.

Usually, when an editor approaches an article (particularly an explainer as basic as “What is Compound Interest”), it’s safe to assume that the writer has done their best to provide accurate information. But with AI, there is no intent, only the product. An editor evaluating an AI-generated text cannot assume anything, and instead has to take an exacting, critical eye to every phrase, world, and punctuation mark. It’s a different type of task from editing a person, and one people might not be well-equipped for, considering the degree of complete, unfailing attention it must take and the high volume CNET seems to be aiming for with its AI-produced stories.

It’s easy to understand (though not excusable) that when sifting through piles of AI-generated posts, an editor could miss an error about the nature of interest rates among the authoritative-sounding string of statements. When writing gets outsourced to AI, editors end up bearing the burden, and their failure seems inevitable.

And the failures are almost certainly not just limited to the one article. Nearly all of CNET’s AI-written articles now come with an “Editors’ note” at the top which says, “We are currently reviewing this story for accuracy If we find errors, we will update and issue corrections,” indicating the outlet has realized the inadequacy of its initial editing process.

Gizmodo reached out to CNET for more clarification about what this secondary review process means via email. (Will each story be re-read for accuracy by the same editor? A different editor? An AI fact-checker?) However, CNET didn’t directly respond to my questions. Instead, Ivey Oneal, the outlet’s PR manager, referred Gizmodo to Guglielmo’s earlier statement and wrote, “We are actively reviewing all our AI-assisted pieces to make sure no further inaccuracies made it through the editing process. We will continue to issue any necessary corrections according to CNET’s correction policy.”

Given the apparent high likelihood of AI-generated errors, one might ask why CNET is pivoting away from people to robots. Other journalistic outlets, like the Associated Press, also use artificial intelligence—but only in very limited contexts, like filling information into pre-set templates. And in these narrower settings, the use of AI seems intended to free up journalists to do other work, more worthy of their time. But CNET’s application of the technology is clearly different in both scope and intent.

All of the articles published under the “CNET Money” byline are very general explainers with plain language questions as headlines. They are clearly optimized to take advantage of Google’s search algorithms, and to end up at the top of peoples’ results pages—drowning out existing content and capturing clicks. CNET, like Gizmodo and many other digital media sites, earns revenue from ads on its pages. The more clicks, the more money an advertiser pays for their miniature digital billboard(s).

From a financial perspective, you can’t beat AI: there’s no overhead cost and there’s no human limit to how much can be produced in a day. But from a journalistic viewpoint, AI-generation is a looming crisis, wherein accuracy becomes entirely secondary to SEO and volume. Click-based revenue doesn’t incentivize thorough reporting or well-put explanation. And in a world where AI-posts become an accepted norm, the computer will only know how to reward itself.
CNET was using their own home-brewed system, not ChatGPT that is making headlines.
 
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Lord Tin Foilhat

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I have been telling people for years that there are news/article websites that are 100% AI generated....

Then you see CNET has been doing it for their fucking finance area, of all the spots, and its dead wrong :rofl: :rofl:

how many lazy ass "journalists" are doing the same ass shit? Also it has been shown it is HIGHLY leaning in certain political directions....because humans still wrote it.
 

Lord Tin Foilhat

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CNET was using their own home-brewed system, not ChatGPT that is making headlines.
there are a dozen versions. its not "chatgpt" but an altered version to specialize in an area. In the end, its all "AI generated" depending what flavor name you want to give it.

Just like guy who used the source code to write a dozen 4chan bots based off the same code.
 

sickmint79

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i assume flyn's post here


is from chatgpt

i wanted to try out a lesser known and discussed question. i had to sign on to my vpn to the US to use it, it was not working from thailand.

my prompt: where are the best hamburgers in mexico city?

There are many great places to find hamburgers in Mexico City, but some popular options include:
  • Burger Project: This chain offers a variety of creative burger options made with high-quality ingredients.
  • Hamburguesas El Gordo: This casual spot is known for its big, juicy burgers and friendly service.
  • Hamburguesas Gourmet: This restaurant serves up gourmet burgers made with a variety of unique and high-quality ingredients.
  • La Capital: This casual spot is known for its delicious burgers and casual atmosphere.
  • Burger Joint: This chain serves up classic American-style burgers and milkshakes.
It's always a good idea to check out some reviews and ratings before making a final decision. Also, you can ask locals, they always know where the best places are.

i pretty much ate all the burgers there:


assuming la capital is the capital grille and burger joint is burger bar joint, i've at least been to 2... the other 3 i never heard of and 2 i couldn't even find in a lazy quick google maps search. in any case i don't understand how it even came to these, eg. i did pretty extensive burger research for where to go - and as noted in the article, i ate at 82 burger joints in the bubble of mexico city that probably should have all the best ones at that. so i'm really confused how it came up with these.

i asked about shakshukas too, although it had no recommendations

I'm not aware of any specific places in Mexico City that are particularly known for their Shakshuka, Shakshuka is a Middle Eastern dish that is not very common in Mexico City, it's more popular in the Mediterranean and North African countries. However, there are many international cuisine restaurants in Mexico City that may serve this dish, and you can check them out and ask the locals for recommendations.

in its defense, it was trained on data through 2021, so it hasn't had time to read my blog posts on both subjects posted in 2022 ;p
 
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