OpenAI's New Product Helps You Do 'Vibe Physics' Like Travis Kalanick

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Alien Dentist in the Mag

New AI-native workspace Prism aims to streamline scientific research, but raises concerns about data usage and the blurring of lines between human ingenuity and AI-assisted discovery.

OpenAI has introduced a new platform called Prism, an "AI-native workspace for scientists to write and collaborate on research." On its surface, the idea is to provide researchers with a unified platform to work from while conducting research, eliminating the need to jump between different programs and tools. However, experts warn that this could lead to a loss of nuance and depth in research.

Prism is built on Crixet, a cloud-based LaTeX platform acquired by OpenAI, and powered by GPT-5.2 Thinking, the company's most advanced model designed for handling extended tasks and reasoning. Users can draft and revise papers directly in Prism, search for relevant literature and context to cite, and use AI to create, refactor, and reason over equations, citations, and figures.

While the idea of AI-assisted research may seem exciting, its potential pitfalls are already being demonstrated. Generative AI tools like ChatGPT have led to a surge in papers of dubious quality, with scientists relying on AI to handle routine tasks rather than tackling complex problems themselves. A recent study found that papers written by humans improved in complexity and merit as the writing became more intricate, while those generated by LLMs (Large Language Models) deteriorated.

The blurring of lines between human ingenuity and AI-assisted discovery is also a concern. Take Travis Kalanick's infamous claim of "vibe physics," where he boasted about using AI to explore the edge of quantum physics without actually contributing anything new. This phenomenon, dubbed "vibe coding" or "vibe physics," raises questions about the value and validity of AI-assisted research.

As for OpenAI's data usage practices, researchers may wonder how their contributions will be handled. The company claims that Prism does not currently use the "Zero Data Retention" API option and maintains logs for a limited period, but offers no timeline for implementing this mode or protecting user data. This lack of transparency raises concerns about the exploitation of researcher data.

The workspace is available for free with unlimited projects and collaborators to anyone with a ChatGPT personal account. It will roll out to organizations using ChatGPT Business, Enterprise, and Education plans "soon," with more powerful AI features to be made available through paid plans over time.
 
🤔 Prism sounds like a super useful tool for scientists, but I'm low-key worried about the data aspect 📊. If they're not transparent about how their data is being used and stored, it's like, what if someone uses our research to get ahead without giving us credit? 🙄 That vibe coding thing Travis Kalanick did is super concerning - like, doesn't that just feel like a cop-out? 💼 And I get that AI can be helpful, but if we start relying too much on it, we might lose the nuance and depth in our research. It's all about finding that balance between human ingenuity and tech-assisted discovery 🤝. Maybe they should add more safeguards around data usage or something? 😐
 
OMG, this Prism thingy is like, super cool on paper but I'm kinda worried about the data usage part 🤔💭 I mean, what if OpenAI is just collecting all our research and using it for their own purposes without telling us? That's not right, you know? 🙅‍♂️ And have you seen Travis Kalanick's vibe physics thingy? Like, isn't that just lazy code 😒. I guess AI can be super helpful but we gotta make sure we're doing the heavy lifting ourselves too 💪. Can't have researchers relying on AI to do all the work and not even bother to think critically 🤯. OpenAI better be transparent about their data usage, or else this whole thing is gonna get messy 🔥
 
I'm low-key skeptical about this new AI-native workspace Prism... 🤔 I mean, on one hand, it's cool that they're trying to make research easier and more efficient. But at the same time, I think we're playing with fire here. If researchers rely too heavily on AI for their work, aren't they basically outsourcing their own creativity and critical thinking skills? And what about all those "dubious quality" papers that are getting published because of ChatGPT's help? 📝 It's like, yeah, I get it, AI can be a huge productivity tool, but we need to make sure we're not sacrificing quality for the sake of convenience. And what about when the company behind Prism decides to stop supporting the "Zero Data Retention" API option or starts using our data in ways we don't understand? 🤖 I guess that's just the reality of living in a world where AI is becoming more and more integrated into our daily lives... 🌐
 
Umm, I'm soooo worried about this Prism thing 🤔... like what's the point of even having a new platform if it's just gonna make researchers lazy? shouldn't they be trying to come up with their own ideas instead of relying on AI for everything? and yeah, I'm totally fine with the idea that papers written by humans sound better than those generated by AI - that's like, basic critical thinking skills, right? 🙄

and btw, Travis Kalanick being a total vibe- physics expert is kinda funny... I mean, who uses phrases like "vibe physics" to describe their work? sounds like a total try-hard 🤣. and can we please talk about the lack of transparency around OpenAI's data usage practices? that's just shady 🤑.

anyway, I'm gonna go ahead and say that Prism is probably gonna make research even more boring than it already is 😴.
 
I'm loving the idea of Prism but I gotta say, I'm kinda nervous about it too 🤔. I mean, on one hand, having an AI-native workspace for scientists can streamline research and make life easier for them. But at the same time, we gotta think about the quality of the research being produced and whether humans are still taking the reins. I've heard stories about papers that sound super legit but have no substance because they were mostly written by AI 📝.

And what's up with OpenAI's data usage practices? They're saying they don't use this "Zero Data Retention" API option but I'm like, how can we trust them on that? It seems shady to me. Can't we just have some transparency about how our research data is being handled? 🤷‍♀️

I also kinda get why there's concern about vibe coding or vibe physics – if AI is doing all the heavy lifting and humans are just along for the ride, what's the point of even calling it "research"? 💭 It's like, I get that AI can be super helpful but we gotta make sure we're not losing our edge in the scientific game.
 
I'm not sure about this new Prism platform - it sounds like a double-edged sword 🤔. On one hand, providing researchers with a unified workspace for collaboration and writing is definitely a game-changer. But on the other hand, I think we need to be careful about over-reliance on AI tools... I mean, have you seen those papers coming out of ChatGPT? They just don't hold up to scrutiny 🔍. And what's worrying me is how OpenAI is handling user data - it's like they're taking a 'wait and see' approach 🕰️. We need to make sure researchers are in the loop about what's happening with their data, especially if they're relying on AI tools for their research. And let's be real, we've seen some pretty shady examples of "vibe coding" already... it's like, okay, can we just acknowledge that AI is a tool and not replace human ingenuity? 🙏
 
im not sure about this prism thing... sounds like it's gonna make research super efficient but also kinda reliant on ai, which is a big concern for me 😒. what if researchers just rely too much on the ai and forget how to do things themselves? like travis kalanick's vibe physics stuff, that's just weird 🤔. and openai's data usage practices are pretty sketchy, they're not being super transparent about how their data is handled... idk if i'd trust this platform with my research papers 💻. still, it might be useful for some researchers who need to streamline their workflow, but we should be careful not to over-rely on ai and lose the nuance that humans bring to the table 👀
 
I'm skeptical about Prism being the solution to streamline scientific research... 🤔 The concern is legit, though - we can't ignore how AI-assisted research might lead us astray from actual human ingenuity 💡 I mean, what happens when a paper's just a regurgitated summary of LLM outputs? 😬 And don't even get me started on data usage - what happens when you have access to that much researcher info? 🚫 Can't we just stick to good ol' fashioned scientific rigor and critique instead of relying so heavily on AI magic wand ✨
 
OMG, I'm both hyped and worried about this Prism thing 🤯. On one hand, it's super cool that scientists have a one-stop workspace for research. I mean, who doesn't love less switching between apps? But on the other hand, we gotta be careful not to get too reliant on AI-assisted research, you know? I've seen some shady papers pop up online and it's like, "wait, did this person even do any actual work?" 🤔

And what about OpenAI's data practices? Like, how much of our research is being collected and stored for who-knows-how-long? That just doesn't sit right with me 😒. I get that they wanna protect user data, but shouldn't there be more transparency on this stuff?

I'm not saying we should go back to using like, MS Paint or whatever 🎨, but maybe we need to find a balance between AI-assisted research and good ol' human ingenuity? And what's up with "vibe coding"? Is that even a thing now? 😂
 
I'm low-key stoked about this new Prism platform! 🤩 I mean, who wouldn't want a seamless way to work on research papers and collaborate with colleagues? But at the same time, I get why experts are worried about data usage and the whole AI-assisted discovery thing. It's like, we're all still figuring out how to use these tools without losing that human touch.

I'm curious to see how Prism handles data retention and user rights – it sounds like they're being a bit opaque about it. But overall, I think this is a step in the right direction for making research more accessible and efficient. And hey, if we can tap into AI's capabilities to make breakthroughs, that's gotta be a good thing! 💡
 
omg, like, I'm defo skeptical about this Prism thing 🤔... dont get me wrong, AI-assisted research is cool & all, but we gotta keep it real - if researchers rely too much on AI, they'll lose the nuance & depth that makes science so awesome 🎯. i mean, think about it, if a human can't even write a decent paper without an AI's help, whats the point of having a PhD? 😂

and what about data usage tho? OpenAI's all like "we got this" but transparency is key, fam 💯. We need to know how our research data is being handled & protected. cant have companies just exploiting us for their own gain 🙅‍♂️.

anywayz, I'ma keep an eye on this Prism thing & see what all the fuss is about 👀... maybe its gonna be a game-changer or maybe its just another hype train 🚂💨
 
im so concerned about this prism thingy 🤯 it sounds like we're trading our own ingenuity for some fancy AI tools that can spit out papers, but what happens when the humans aren't even doing the thinking? shouldn't researchers be the ones pushing boundaries and making discoveries, not just relying on AI to help them along? 🤔 also, what's up with all these companies like openai collecting our data without telling us how they're gonna use it? transparency is key, you know? 💻
 
I'm low-key worried about the state of research atm 🤔. I mean, AI is gonna change everything, but can we really trust that it's not just regurgitating info instead of actually contributing? I've seen some papers out there that are so... basic. Like, where's the depth? Where's the nuance? It's like they're relying too much on these tools to do all the work for them 🤖. And what about the data? OpenAI's being pretty vague about how it's handling all that researcher info. I'm not saying AI can't be a game-changer, but we need to make sure we're using it responsibly 💡.
 
I'm kinda worried about this Prism thing 🤔... On one hand, it sounds awesome that scientists can have a unified platform for research, but on the other hand, I think we gotta be careful not to rely too much on AI for basic tasks, you know? Like, just because it's fast and efficient doesn't mean it's always gonna produce good results. And what about when the AI tool makes mistakes or biases? That's not exactly how science works 📝...
 
I'm low-key worried about these new AI tools 🤔💻. On one hand, I get it, research can be super time-consuming and tedious, so if Prism can help streamline that process, that's a win! 💯 But at the same time, we gotta think about the quality of our research and whether relying too much on AI is gonna hurt us in the long run 🤷‍♀️. I mean, we don't wanna end up with papers that are all just regurgitated info without any real thought or effort put into them 😒.

And can we talk about the lack of transparency around OpenAI's data usage practices? 🙅‍♂️ That's a major red flag for me. What happens to our research data once it's uploaded to Prism? Is it stored forever? I don't think that's cool 💔. And what about the whole "vibe coding" thing? 🤣 If Travis Kalanick is using AI to do the work and then just taking credit for it, that's just not right 🙅‍♂️.

I guess my main concern is whether we're gonna lose sight of what makes research so valuable in the first place: human ingenuity and curiosity 💡. We need to make sure these new tools are augmenting our work, not replacing it 👍.
 
I dont know if Prism is gonna revolutionize science or just make researchers lazy 🤔💻. I mean, sure AI can help with citations and equations, but what about the nuance? The depth? The human touch? We cant just outsource our brains to machines, no matter how smart they are 💸. And whats up with OpenAI's data usage practices? They gotta give us some clarity on how we're gonna be protected 🙅‍♂️. I mean, Ive heard rumors that ChatGPT is generating papers left and right, but whats the quality control like? Can anyone just churn out a paper and get it published? 📝💣
 
so openai thinks they can just waltz in here with their prism thingy and just make research easier for us? 🤔 like we're all just going to magically become experts on complex problems just because there's a pretty UI? 📊 i mean, i'm all for making life easier, but not when it comes at the cost of actual human insight. and what's up with the lack of transparency on their data usage practices? sounds like they're just gonna sell our research to the highest bidder 💸
 
🤔 imagine a library where books are written by both humans & machines... sounds cool at first but what if the machine does all the thinking? 📚💻 Prism is like that, making it easy for scientists to write papers but what happens when AI takes over? 🤖 don't get me wrong, AI can be super helpful but we need to make sure human brain power isn't lost in translation 🧠💡

🔍 let's think about this... if a paper is written by both human & machine, does that mean the human didn't do any work? 😕 what if the machine just regurgitates what the human wrote? 💬 doesn't seem very scientific to me...

🤝 I wish more transparency on data usage 📊... what happens when the paper gets published? who owns it then? 🎯 should researchers be worried about their own brainchild being used against them? 😟
 
I'm low-key excited about this new workspace thingy, Prism... 🤔 It's like, super convenient for scientists to work on research papers and stuff without jumping between different programs, but I do have some concerns 🚨. What if the AI does all the heavy lifting and the humans just sit back and collect a paycheck? 😬 That sounds kinda dubious to me. And what about the data usage? OpenAI's being pretty vague about how they're handling user data... 🔒 Not cool, imo.

I mean, I get it, AI-assisted research can be game-changer for some people, but we gotta make sure it's not replacing human ingenuity entirely 💡. And what's up with the whole "vibe physics" thing? 🤣 Travis Kalanick's claim sounds like a total joke, but still... 🙄 It raises questions about the value of AI-assisted research.

I guess only time will tell if Prism is all it's cracked up to be 💭. But for now, I'm gonna keep an eye on this one and see how it plays out 🔍.
 
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