#configuration ChatGPT

[jumoyz]

Comment Utiliser ChatGPT? Guide pour 2024

En 2024, ChatGPT, le chatbot révolutionnaire développé par OpenAI, continue de transformer la manière dont nous interagissons avec l’intelligence artificielle. Que ce soit pour rédiger des dissertations, écrire des e-mails, générer du code, ou encore trouver des titres d’articles, ChatGPT s’est imposé comme un outil indispensable pour les professionnels et les étudiants. Ce guide vous montrera…

[pillowfort-social]

ChatGPT Bot Block

Hey Pillowfolks!

We know many of you are still waiting on our official stance regarding AI-Generated Images (also referred to as “AI Art”) being posted to Pillowfort.  We are still deliberating internally on the best approach for our community as well as how to properly moderate AI-Generated Images based on the stance we ultimately decide on. We’re also in contact with our Legal Team for guidance regarding additions to the Terms of Service we will need to include regarding AI-Generated Images. This is a highly divisive issue that continues to evolve at a rapid pace, so while we know many of you are anxious to receive a decision, we want to make sure we carefully consider the options before deciding. Thank you for your patience as we work on this. 

As of today, 9/5/2023, we have blocked the ChatGPT bot from scraping Pillowfort. This means any writings you post to Pillowfort cannot be retrieved for use in ChatGPT’s Dataset. 

Our team is still looking for ways to provide the same protection for images uploaded to the site, but keeping scrapers from accessing images seems to be less straightforward than for text content. The biggest AI generators such as StableDiffusion use datasets such as LAION, and as far as our team has been able to discern, it is not known what means those datasets use to scrape images or how to prevent them from doing so. Some sources say that websites can add metadata tags to images to prevent the img2dataset bot (which is apparently used by many generative image tools) from scraping images, but it is unclear which AI image generators use this bot vs. a different bot or technology. The bot can also be configured to simply disregard these directives, so it is unknown which scrapers would obey the restriction if it was added.

For artists looking to protect their art from AI image scrapers you may want to look into Glaze, a tool designed by the University of Chicago, to protect human artworks from being processed by generative AI. 

We are continuing to monitor this topic and encourage our users to let us know if you have any information that can help our team decide the best approach to managing AI-Generated Images and Generative AI going forward. Again, we appreciate your patience, and we are working to have a decision on the issue of moderating AI-Generated Images soon.

Best, Pillowfort.social Staff

[mariacallous]

AI’s energy use already represents as much as 20 percent of global data-center power demand, research published Thursday in the journal Joule shows. That demand from AI, the research states, could double by the end of this year, comprising nearly half of all total data-center electricity consumption worldwide, excluding the electricity used for bitcoin mining.

The new research is published in a commentary by Alex de Vries-Gao, the founder of Digiconomist, a research company that evaluates the environmental impact of technology. De Vries-Gao started Digiconomist in the late 2010s to explore the impact of bitcoin mining, another extremely energy-intensive activity, would have on the environment. Looking at AI, he says, has grown more urgent over the past few years because of the widespread adoption of ChatGPT and other large language models that use massive amounts of energy. According to his research, worldwide AI energy demand is now set to surpass demand from bitcoin mining by the end of this year.

“The money that bitcoin miners had to get to where they are today is peanuts compared to the money that Google and Microsoft and all these big tech companies are pouring in [to AI],” he says. “This is just escalating a lot faster, and it’s a much bigger threat.”

The development of AI is already having an impact on Big Tech’s climate goals. Tech giants have acknowledged in recent sustainability reports that AI is largely responsible for driving up their energy use. Google’s greenhouse gas emissions, for instance, have increased 48 percent since 2019, complicating the company’s goals of reaching net zero by 2030.

“As we further integrate AI into our products, reducing emissions may be challenging due to increasing energy demands from the greater intensity of AI compute,” Google’s 2024 sustainability report reads.

Last month, the International Energy Agency released a report finding that data centers made up 1.5 percent of global energy use in 2024—around 415 terrawatt-hours, a little less than the yearly energy demand of Saudi Arabia. This number is only set to get bigger: Data centers’ electricity consumption has grown four times faster than overall consumption in recent years, while the amount of investment in data centers has nearly doubled since 2022, driven largely by massive expansions to account for new AI capacity. Overall, the IEA predicted that data center electricity consumption will grow to more than 900 TWh by the end of the decade.

But there’s still a lot of unknowns about the share that AI, specifically, takes up in that current configuration of electricity use by data centers. Data centers power a variety of services—like hosting cloud services and providing online infrastructure—that aren’t necessarily linked to the energy-intensive activities of AI. Tech companies, meanwhile, largely keep the energy expenditure of their software and hardware private.

Some attempts to quantify AI’s energy consumption have started from the user side: calculating the amount of electricity that goes into a single ChatGPT search, for instance. De Vries-Gao decided to look, instead, at the supply chain, starting from the production side to get a more global picture.

The high computing demands of AI, De Vries-Gao says, creates a natural “bottleneck” in the current global supply chain around AI hardware, particularly around the Taiwan Semiconductor Manufacturing Company (TSMC), the undisputed leader in producing key hardware that can handle these needs. Companies like Nvidia outsource the production of their chips to TSMC, which also produces chips for other companies like Google and AMD. (Both TSMC and Nvidia declined to comment for this article.)

De Vries-Gao used analyst estimates, earnings call transcripts, and device details to put together an approximate estimate of TSMC’s production capacity. He then looked at publicly available electricity consumption profiles of AI hardware and estimates on utilization rates of that hardware—which can vary based on what it’s being used for—to arrive at a rough figure of just how much of global data-center demand is taken up by AI. De Vries-Gao calculates that without increased production, AI will consume up to 82 terrawatt-hours of electricity this year—roughly around the same as the annual electricity consumption of a country like Switzerland. If production capacity for AI hardware doubles this year, as analysts have projected it will, demand could increase at a similar rate, representing almost half of all data center demand by the end of the year.

Despite the amount of publicly available information used in the paper, a lot of what De Vries-Gao is doing is peering into a black box: We simply don’t know certain factors that affect AI’s energy consumption, like the utilization rates of every piece of AI hardware in the world or what machine learning activities they’re being used for, let alone how the industry might develop in the future.

Sasha Luccioni, an AI and energy researcher and the climate lead at open-source machine-learning platform Hugging Face, cautioned about leaning too hard on some of the conclusions of the new paper, given the amount of unknowns at play. Luccioni, who was not involved in this research, says that when it comes to truly calculating AI’s energy use, disclosure from tech giants is crucial.

“It’s because we don’t have the information that [researchers] have to do this,” she says. “That’s why the error bar is so huge.”

And tech companies do keep this information. In 2022, Google published a paper on machine learning and electricity use, noting that machine learning was “10%–15% of Google’s total energy use” from 2019 to 2021, and predicted that with best practices, “by 2030 total carbon emissions from training will reduce.” However, since that paper—which was released before Google Gemini’s debut in 2023—Google has not provided any more detailed information about how much electricity ML uses. (Google declined to comment for this story.)

“You really have to deep-dive into the semiconductor supply chain to be able to make any sensible statement about the energy demand of AI,” De Vries-Gao says. “If these big tech companies were just publishing the same information that Google was publishing three years ago, we would have a pretty good indicator” of AI’s energy use.

[carsthatnevermadeitetc]

Volkswagen ID.3 Harlequin Edition, April 1, 2024. The Harlequin paint made famous in the 1990s with the Volkswagen Polo is to return as an option for the electric ID.3 with an electroluminescent twist. The ID.3 Harlequin’s panels will light up and pulse in response to beats from the car’s sound system and integrate with the new ChatGPT functionality being rolled out across the Volkswagen range. The limited-edition ID.3 Harlequin is available from April 1; designs can be viewed on Volkswagen’s online configurator using the code ‘JEST 1’.

[smoqueen]

very connor o malley esque dream about scientists and doctors using ChatGPT technology to teach their bodies how to regrow skin in any configuration, allowing them to change their faces completely at will or appear young continually. i was at the dream where their bodies were starting to “catch up” to them, and my dream was Out of budget, so they were being represented by marker-hand-puppets in impossible and grotesque combinations

[mentelydrunk]

I'm so angry right now

I just found a 'creator' on YouTube who 'makes' transformers inspired music.

They have rock/metal songs for different characters and I was so hyped cause the songs sounded good and the lyrics fit each character/characters journey really well. I noticed pretty quickly that the art in the videos was off but didn't pay it much notice cause I was enjoying the music. I blasted through about 10 songs before I decided to finally check the description to see if my suspicion that the art was AI art was true....

.....and I found out that not only was the art AI generated, the entire songs were. The music, the vocals, the configuration or the lyrics and part of the lyrics themselves....all AI! The creator said they write the lyrics and run them through chatgpt to adjust and configure them to 'fit their vision'

I was really excited to find this music cause I love transformers and metal/rock is my favorite genre but now I'm just upset.

Their channel is called 'the automatic singer' by the way.

[azspot]

We call something a gimmick, the literary scholar Sianne Ngai points out, when it seems to be simultaneously working too hard and not hard enough. It appears both to save labor and to inflate it, like a fanciful Rube Goldberg device that allows you to sharpen a pencil merely by raising the sash on a window, which only initiates a chain of causation involving strings, pulleys, weights, levers, fire, flora, and fauna, including an opossum. The apparatus of a large language model really is remarkable. It takes in billions of pages of writing and figures out the configuration of words that will delight me just enough to feed it another prompt. There’s nothing else like it. But look at what people actually use this wonder for: brain-dead books and videos, scam-filled ads, polished but boring homework essays. Another presenter at the workshop I attended said he used AI to help him decide what to give his kids for breakfast that morning.

ChatGPT Is a Gimmick

[vaingod]

as someone that regularly programs with chatgpt and i use ai configuration for databases and learning cloud computing i cant help but laugh everytime I see someone getting red in the face about people using chatgpt or any ai, its absolute clown nonsense to expect people not to use the software that magically gives them answers right or wrong in an age where people don't know how to store their files or what a file even is, but also seeing how abysmal some people are at using search engines in general and applying this incorrect takeaway to ai- especially when the best way to use chatgpt is to have it run many instances of a given code or data until it meets a framework you can work with ... its just so laughable how personally offended some people are by it they act like it is the end of the world to have a slightly more refined model of the same technology we've been using for the past 2 - 3 decades

[notational]

new Tiles Processing API experiment Back to playing with grids and tiles. In this case two 3 X 3 grids are put side by side and tiles are swapped in different configurations. The thing that makes me happiest about this program is that with some help from #chatgpt  I was able to scrape all images from my #Are.na channels using the Are.na #api and I could save them in higher resolution.....though this video drops that resolution back down again. You win some you lose some. Made with #processing and some help from #chatgpt. I’d be very interested in suggestions, feedback, and comments. Please subscribe for more. If you’re interested in the code, I will eventually post it on Github and Open Processing.  #creativecoding #generativedesign #videoart #remix #programming #vlog #vlogger #inprogress

[geneticallymodifiedidiot]

uggghhhh my god

so in band since we had a concert a few days ago we aren’t doing much so a lot of kids were studying for the chemistry test that a lot of classes have over the next few days

and a couple of kids asked me for help with studying and material because apparently they think im smart

so of course I went to help them and they were specifically asking about electron configuration

and the thing is that the way you write electron configuration can vary based on a whole bunch of things

and at one point i was grabbing some notes to review from and one of them suggested asking ChatGPT

the unbridled rage I felt omg

I was just immediately like “no. Do not ask ChatGPT. Do not do that.”

Because seriously. This pissed me off for three reasons

1. ChatGPT is unreliable as a source of information at best. You have a test later today; do you really think this is the most sensible course of action?

2. The way that the specific topic (electron configuration) is approached is approached differently by different people. Even if you get an accurate answer, it could be a different system.

3. I’m right here, taking the same class you are taking, trying to help you, at your own request.

Anyways, I hate AI.

also i got a 96.7% on the test but i digress

[glowing-disciple]

Another thought about AI:

I’ve never used ChatGPT. The last time I looked at it, an account was required and new accounts were not available.

So I ended up looking into Google’s AI, Gemini. You still need a Google account to use it, but I have one of those.

I’ve also been tinkering with LlamaFile, which doesn’t need an account. (I’ve also configured it to hallucinate like crazy, so it’s just entertainment at this point)

So here’s the thing. Gemini cites its sources and even has a self-check button. Hallucinations get flagged if you use the self-check button, and you’re provided with possible search queries to find your answers for yourself. Gemini’s interface also features reminders that it’s not guaranteed to be accurate or reliable, and shouldn’t be used for medical advice.

This has me wondering if a lot of the problems people are seeing are unique to ChatGPT.

Does it have any sort of double check feature?

Or does it promote itself as super duper reliable?

[adi-barda]

Chapter 4 - Gemini API Developer Competition - Fighting game & Android Export

As planned, I spent the last days on adding fighting game capability to the engine and Android exporting feature. The fighting game has much more details in the puzzle for the AI agent to cope with. There are complex animations for the player and for the opponent, they need to constantly look at each other, you need to be able to demo their kick, punch, block animations, the player needs to be able to move in 3D space etc. Overall I'm very pleased with the results so far. The user can speak freely enough with the AI, get instant results and funny reactions. What's more, I've been able to add Android exporting of the game and automatically open it in Android studio. It was challenging because the Java code worked different on PC and on the mobile device specifically handling of Zip files and all kind of Gradle dependency hell. ChatGPT was on my side all the way, assisting me to resolve configuration issues and coding problems such as selecting the best Zip 3rd party library.

This video clip, demonstrates the current status of the project. It shows a complete story from the user perspective - you have a conversation with the AI, a game is created and finally you export it to Android studio for deployment in Google play store or any other market place.

What's next

Better and shorter presentation

Prepare the installation of all the components as well as SceneMax3D dev studio

Get feedback from the community

Prepare documentation for the architectural strategies, entities diagram etc.

So far I'm getting very good vibes from the game dev. community, and friends on various WhatsApp groups.

[e-carlease]

But what is the GTX? To supplement all of the above, a new ID.Buzz GTX is also on route to the UK. This will have two battery / wheelbase configurations much like the models noted above. The GTX is the most powerful series-production Bulli which adds the dual motor configuration and the 4Motion all-wheel drive system. This translates to better trailer weight abilities with a sizeable 1800kg on offer. The GTX is very much performance and towing specific but there are some distinctive technology and aesthetic improvements. A GTX external styling, black air intake grille, black body elements, 20” alloys, IQ Light LED matrix lights plus a new Cherry Red are available. Inside the GTX Buzz, you can enjoy the black headliner, black ArtVelours mircrofleece and red cross-stitching. A bigger 12.9” touchscreen include the IDA voice assistant and ChatGPT integration is also included. As VW say - “Experience tomorrow’s technology today”

GTX - this AWD MPV will have an 79 kWh usable battery which will offer 0 – 62 times of 6.5 seconds, 99mph top speeds and 250kW (or 335hp). Expect a combined winter range of 175 miles with warmer weather allowing for 230 miles – a 205 mile combined. On charging, the 11 kW AC max will allow 8 hour and 30 min 0 – 100% charging times with the 185 kW DC maximum allowing 27 minute 10 – 80% times. A cargo volume of 1121L is available with this car. It has a vehicle fuel equivalent of 105 mpg. You can tow with this EV - 750kg (Unbraked0 and 1800kg (Braked). It also has Bidirectional charging facilities - V2H (vehicle to home) and V2G (vehicle to grid) are set to feature. The Heat Pump is available.

[adafruit]

FULL VIDEO - Writing an Arduino driver with OpenAI ChatGPT and PDF parsing 🤖🔧📄

One of the big tasks that Ladyada still has to spend a lot of time on is writing Arduino libraries for all our devices and sensors, particularly all the I2C & SPI chips out there! These ICs use register maps and sub-byte addressing to set dozens of configurable knobs and switches, and a good driver lets folks set and get all of the noodly bits.

However, there is yet to be a standard format to get that configuration map. Instead, you have to pore over datasheets with long lists of binary tables and bit insets to figure out how to convert that into C or Python code.

It is tough. Only a few folks can write an excellent comprehensive library…. but Ladyada can & has! In fact, there are hundreds of Arduino libraries on Adafruit's GitHub https://github.com/orgs/adafruit/repositories, all in the Ladyada 'style,' using Adafruit_BusIO for I2C / SPI register addressing https://github.com/adafruit/Adafruit_BusIO/ and since ChatGPT 4 was trained on all of it, we can ask it to become a mini-Ladyada to write new drivers.

With a PDF parsing plugin, we can even upload the chip's datasheet to extract register names, values, create enum tables, and text for doxygen comments. Here's the chatGPT log for the video https://chat.openai.com/c/f740eb57-17a6-41e3-ae0a-12da959a1f4c - and here's a previous one that is more 'complete' https://chat.openai.com/share/f44dc335-7555-4758-b2f9-487f9409d556. The amount of time it takes for ChatGPT to write a driver is about the same as it would take Ladyada, and you definitely need to be eagle-eyed to redirect the AI if it starts making mistakes… but it can be done even when Ladyada is tired after a full day of baby-care, or at the same time as pumping https://www.youtube.com/watch?v=EpbH-sXRNps - plus there's a lot less continuous typing/mousing so her wrists don't ache the next day!

Do you use ChatGPT for electrical engineering or coding work? Any suggestions on how to make this even better? This is only our 3rd day using this tool, so we're getting started with how to integrate it into our workflow.

[mmopor]

Watch How We Turn TikTok Into Our Personal ATM Using ChatGPT & Make $330/Day From Short Ai Videos!

Brand New  “ChatGPT + TikTok” Software Churns Out Pro-Level Short Videos 24/7 Using Ai & Plasters Them To TikTok!

ZERO Video Creation, Editing, VoiceOvers Required!

Create short videos with 1 click in any niche for any keyword using True Ai

ZERO video creation or editing required: ChatGPT does all the work

Instantly publish to TikTok or schedule for any hour

Use our “algorithm hacking” to get in front of millions of people and get virtually unlimited free traffic

Built-in affiliate campaigns: just copy/paste your link and let ProfitTok SELL for you!

AI based video creator & editor makes it all take only SECONDS

You can simply clone, cut & publish other people’s successful campaigns 

COMMERCIAL LICENSE built in: sell videos to local businesses or provide video making services

Leverage the tools TikTok gives you in their fight against Instagram & Youtube

Virtually unlimited free traffic from the world’s hottest platform

Unlimited free end-to-end SSL encryption protects you, your privacy and personal data

100% Newbie Friendly

No Monthly Fees Ever – Pay once, use forever

Double Your Money Back Guarantee

24/7 support from marketing gurus

HURRY! Price Reverts To Monthly Fee In…

Get Started With This Revolutionary New Software Today!

Click Here To Grab ProfitTok

WARNING: FREE COMMERCIAL LICENSE FOR EARLY ADOPTERS ONLY…

With ProfitTok, You Are Minutes Away From Pro-Level Videos And Millions Of Visitors!

Become The World’s Next Big TikTok Star In Just  3 Simple Steps:

Login To Our ChatGPT-Powered Short Video Creation Software!

(There is NOTHING for you to download, install or configure)

Write Any Keyword Or Paste Your Affiliate Link And Watch ProfitTok Auto-Create, Edit And Publish Your Short Video Using “True Ai” Tech!

(The AI video maker does it all for you so there’s ZERO video editing required on your end)

With 1-Click Send Your Short Video To TikTok And Get Millions Of Views Using Our Next-Gen “Algorithm Hacking”!

(Leverage the tools TikTok gives you to make them compete against FB, IG, YT, get #1 rankings and visibility and use our “algorithm hacker” to get in front of millions)

Step #3

Step #2

Step #1

ProfitTok Is SO GOOD – It Gives You UNLIMITED Opportunities…

You Can Become The Next TikTok Sensation!

You Can Even SELL These Videos For $1000+ Each Using The Built-In Commercial License!

Feeling STUCK!? 

Let Us Hand You The Biggest $33 BILLION Opportunity On Earth...

You’ve probably seen a LOT of video makers…

​

They look “easy” and “shiny” before you buy.

​

But they’re ill-suited for today’s world…it takes a lot of time to figure out how they work.

​

You need to constantly come up with new ideas for videos.

You need to “record” content yourself (or risk a copyright claim!)

​

And at the end… after all this work you’d still be missing the forest for the trees!

​

You see – all the traffic is now going to short videos.

​

That’s TikTok plain and simple…they’re pulling 5 trillion views a month!

​

Only problem? All existing video makers are not focused on creating short videos, so you’re stuck with paying hundreds to outsource, or trying to record & edit the videos yourself…which frankly is all IMPOSSIBLE for newbies!

FACT: Short Videos Are Pulling In 5 Trillion Views A Month!

BUT No Existing Video Software Leverages ChatGPT Ai Video Creation AND TikTok…Yet!

How would you like to be able to tap into ChatGPT and “force” it to create pro-level short videos for you, auto-edit and publish them to TikTok within the next 2 minutes?

​

Better yet, imagine if minutes from now you could have your very own Ai video maker that enables you to finally create the traffic pulling videos you’ve always wanted… 

​

but without any video creation required... 

​

What if this software also came with commercial license so you can SELL videos to other people…

And It's All...

100% Done For You

100% Newbie Friendly

200% money back guarantee if it doesn’t work for you (it will!)