Artificial Intelligence
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- shapesalad1
So they trained this image creation AI's on images that progressively had random noise overlayed over them, until from random noise + a prompt, AI could generate an image.
So as you render a 3D image from Blender/C4D using gpu - you get that 'grainy' image, and the longer you wait the more it's refined. Could there not be the addition of AI that kicks in once enough image is rendered and takes over with a rapid finish of it to super fine quality?
- I saw people were already doing lower res renders in Blender a while back then running a de-noise filter in After Effects or Davinci to speed up the processPhanLo
- didn't you post exactly that technique 4 days ago in the blender 3d thread?
300% faster rendering.uan - I think some of the problems with AI are the noise creating inconsistencies between frames. Kindo wish some other companies actually get their fingers outPhanLo
- grafician-2
"The Not By AI badge is created to encourage more humans to produce original content and help users identify human-generated content. The Ultimate goal is make sure humanity continues to advance."
- scarabin0
I’ve been using chatgpt to translate old alchemical books from metaphor and allegory into modern scientific processes. It’s been pretty interesting.
Here’s how to make the philosopher’s stone:
Step 1: Preparation of "Green Lion"
Dissolve gold in aqua regia (a mixture of hydrochloric acid and nitric acid)
Heat the solution to drive off excess acid and concentrate the gold
Repeat the process of dissolving and heating the gold several times until a dark green solution called "Green Lion" is obtained
Step 2: Preparation of "Red Lion"Mix Green Lion with iron oxide, sulfur, and sal ammoniac
Heat the mixture to produce a red powder called "Red Lion"
Step 3: Preparation of "White Eagle"Mix Red Lion with antimony trisulfide, lime, and tartaric acid
Heat the mixture to produce a white powder called "White Eagle"
Step 4: Preparation of "Gray Wolf"Mix White Eagle with sal ammoniac, common salt, and potassium nitrate
Heat the mixture to produce a gray powder called "Gray Wolf"
Step 5: Preparation of "Philosopher's Stone"Mix Gray Wolf with mercury and heat the mixture until it becomes a solid mass
Grind the solid mass to a fine powder called "Philosopher's Stone"- The books say this process takes 3-8 years but you could bang this out in a day with the right equipmentscarabin
- https://media.tenor.…antimotion
- Continuity2
Worth the read:
"‘ChatGPT said I did not exist’: how artists and writers are fighting back against AI"
"From lawsuits to IT hacks, the creative industries are deploying a range of tactics to protect their jobs and original work from automation"
- neverscared1
- It's coming, but that only controls the super basic forms (thank God!). I better be looking for career alternatives, though.formed
- NBQ00-1
If an investment was all it took to take a foothold in one of the best AI tools, why hasn't Google or Apple done it?
And if OpenAI is truly open, can't Apple or Google still take a part in it?
Does Microsoft have a monopoly on OpenAI/ GPT now?
- It's both a non-profit lab and also a for-profit corp.
It has both individual and corporate investors (ex. Microsoft recently)grafician - But the name is misleading, it's not "open"grafician
- A recently article talked about this: https://dot.la/opena…grafician
- Wait until you learn about Coke™.palimpsest
- It's both a non-profit lab and also a for-profit corp.
- PhanLo1
- A few more years and we can create entire movies with prompts in perfect HD quality.NBQ00
- Natural language writing. prompts were so uhh... checks notes... Last week apparently.jonny_quest_lives
- not sure how that helps getting AI works more copyright-able as Natural language writing is the equivalent of telling a work for hire artist what to dojonny_quest_lives
- sted1
GPTs are GPTs: An early look at the labor market impact potential of large language models
We investigate the potential implications of Generative Pre-trained Transformer (GPT) models and related technologies on the U.S. labor market. Using a new rubric, we assess occupations based on their correspondence with GPT capabilities, incorporating both human expertise and classifications from GPT-4. Our findings indicate that approximately 80% of the U.S. workforce could have at least 10% of their work tasks affected by the introduction of GPTs, while around 19% of workers may see at least 50% of their tasks impacted. The influence spans all wage levels, with higher-income jobs potentially facing greater exposure. Notably, the impact is not limited to industries with higher recent productivity growth. We conclude that Generative Pre-trained Transformers exhibit characteristics of general-purpose technologies (GPTs), suggesting that as these models could have notable economic, social, and policy implications.
- grafician-3
"Today we’re starting to open access to Bard, an early experiment that lets you collaborate with generative AI. This follows our announcements from last week as we continue to bring helpful AI experiences to people, businesses and communities."
https://blog.google/technology/a…
- "an early experiment" lol at least they still trygrafician
- People using it already say it's very limited and way behind ChatGPTgrafician
- "Bard isn’t currently supported in your country. Stay tuned!"SimonFFM
- Only US and UK for nowgrafician
- also
"Bard does not currently support Google Workspace accounts"grafician
- jonny_quest_lives1
Stanford releasing the roadmap for localized sub $600 ChatGPT clones...
https://newatlas.com/technology/…
https://futurism.com/the-byte/st…Microsoft might have gotten played.
- I guess that the fate of all that billion dollars research will be available very soon for everyone. The largest models are allready in the wild !gonzalle
- grafician-3
"We define exposure as a proxy for potential economic impact without distinguishing between labor-augmenting or labor-displacing effects."
- literally two posts down the whole study is sharedsted
- Yes, I shared the part that actually counts
Learn to share images first as this is a visual forum, not a scientific paper nobody will read.grafician - Btw @sted I got this from twitter, couldn't care less about what you share in heregrafician
- only you can write such stupid nonsense.
lovely how it becomes more and more clear how stupid you are and nobody has to do anything for it.sted - these things properly expanded and presented at page 26-27 but its still a huge chart.sted
- what nonsense mate, I posted exactly the list of occupations that was relevant, didn't even see your post before, so jog ongrafician
- NBQ00-1
Shutterstock to Develop a Text-to-3D AI in Collaboration With NVIDIA
- pablo280
Galileo AI creates delightful, editable UI designs from a simple text description. It empowers you to design faster than ever.
u s e g a l i l e o . a i
- https://www.usegalil…palimpsest
- everything it generates looks the same its a template engine.sted
- neverscared-1
Why ‘Woke’ Chatbots Are the New Culture War Battlefields
America’s culture wars are entering a new battlefield.
Elon Musk may be developing a rival to OpenAI’s ChatGPT and has reached out to AI researchers about forming a new research lab, according to a report by The Information last Monday. But Musk’s latest venture isn’t simply to stay competitive in Silicon Valley’s new arms race—his motivations are also ideological.
“The danger of training AI to be woke—in other words, lie—is deadly,” Musk tweeted last December. When a journalist at the conservative publication The Washington Free Beacon tweeted, “ChatGPT says it is never morally permissible to utter a racial slur—even if doing so is the only way to save millions of people from a nuclear bomb," Musk replied: “Concerning.” When Alex Epstein, an energy expert who has advocated the use of fossil fuels, tweeted a screenshot of ChatGPT refusing to be in favor of fossil fuels, the Tesla CEO responded, "There is great danger in training an AI to lie."
- I smell yet another Elon Musk failure on the horizon.utopian
- pablo280
A local TV broadcaster in Russia’s southern Stavropol Region has unveiled an artificial weather presenter, which has been created with the help of several neural networks.
The channel said it was controlled by neural networks, with “one responsible for the virtual presenter, another for preparing the text, and the third for generating graphic content.”
- Can't be, she has the right amount of fingers. Frankly, sounds like more Art.Lebedev mostly-bullshit shenanigans.Nairn
- Most likely done with https://www.synthesi…NBQ00
- The amount of time and technology to do that, when all it takes is someone to stand there for like 30 seconds reading an autocue while point at clouds.shapesalad
- "If leather bags get wet they can catch cold"drgs
- @shapesalad yeah just ignore the 8-10 people required to get these things recorded or broadcasted live. can we agree that you have no idea how these are made?sted
- They also said Kiev in 3 days...
But damn clipping paths game so so bad, look at her hair ffsake!grafician
