Thought: Using "Human" -made or to be "pro-Human" in a post AI age is mostly a detriment. Capital and AI together mix up a chemical reaction which breeds misanthropy to a sistemic level. A new vocabulary is needed. We are autopoiesis, qualia. AI is allopoiesis, quanta.
If you believe this,
If you believe you have no soul,
No crumb of free will,
You will believe and accept anything.
That’s it.
That’s the whole game.
Goodnight.
@gunsnrosesgirl3 When you know it's real, you might have an emotional response to it. When you can't be sure, especially when it's pretending to be real, you will keep your emotions locked behind the closed gates of your doubt. In other words: if GenAI adds anything to our world, it is apathy.
“Any understanding of social and cultural change is impossible without a knowledge of the way media work as environments.”
McLuhan / Fiore
‘The Medium is the Massage: an inventory of effects.’
1967
Even though I'm in arts and perhaps should be more worried about my own field being displaced... this scares me a lot more. The potential for chaos goes up by a lot when the research itself is also done by genAI. What would a practical mistake look like due to oversigh? Scary.
Introducing The AI Scientist: The world’s first AI system for automating scientific research and open-ended discovery!
https://t.co/jC7g5GPVsE
From ideation, writing code, running experiments and summarizing results, to writing entire papers and conducting peer-review, The AI Scientist opens a new era of AI-driven scientific research and accelerated discovery.
Here are 4 example Machine Learning research papers generated by The AI Scientist.
We published our report, The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery, and open-sourced our project!
Paper: https://t.co/lTQ8UenFHk
GitHub: https://t.co/Im53whVeAq
Our system leverages LLMs to propose and implement new research directions. Here, we first apply The AI Scientist to conduct Machine Learning research. Crucially, our system is capable of executing the entire ML research lifecycle: from inventing research ideas and experiments, writing code, to executing experiments on GPUs and gathering results. It can also write an entire scientific paper, explaining, visualizing and contextualizing the results.
Furthermore, while an LLM author writes entire research papers, another LLM reviewer critiques resulting manuscripts to provide feedback to improve the work, and also to select the most promising ideas to further develop in the next iteration cycle, leading to continual, open-ended discoveries, thus emulating the human scientific community. As a proof of concept, our system produced papers with novel contributions in ML research domains such language modeling, Diffusion and Grokking.
We (@_chris_lu_, @RobertTLange, @hardmaru) proudly collaborated with the @UniOfOxford (@j_foerst, @FLAIR_Ox) and @UBC (@cong_ml, @jeffclune) on this exciting project.
@spoiledsooshi@Rahll I understand, but I hate this type of responses. We shouldn't be waiting for a catastrophe to happen for apt filters and guardrails to be put in place.
@Rahll because it's ultra maximalist: Every color, the most dynamic shapes possible, clutter everywhere... It's almost a visual metaphor. That they are in love with filling the world with trash as long as they can paint a colorful façade over it.
@SakanaAILabs GREAT
after poluting google image, google search, all Art website, annihilate all court proof
Now they're gonna polute all research papers