It also offers LaTeX workspaces
see video: https://www.youtube.com/watch?v=feWZByHoViw
(See also: today’s WhatsApp whistleblower lawsuit.)
Perhaps, like the original PRISM programme, behind the door is a massive data harvesting operation.
You're right that something like Cursor can work if you're familiar with all the requisite tooling (git, installing cursor, installing latex workshop, knowing how it all works) that most researchers don't want to and really shouldn't have to figure out how to work for their specific workflows.
I thought this was introduced by the NSA some time ago.
Uhm ... no.
I think we need to put an end to AI as it is currently used (not all of it but most of it).
Was this not already possible in the web ui or through a vscode-like editor?
There was an idea of OpenAI charging commission or royalties on new discoveries.
What kind of researcher wants to potentially lose, or get caught up in legal issues because of a free ChatGPT wrapper, or am I missing something?
Maybe it's cynical, but how does the old saying go? If the service is free, you are the product. The goal is to hoover up research before it goes public. Then they use it for training data. With enough training data they'll be able to rapidly identify breakthroughs and use that to pick stocks or send their agents to wrap up the IP or something.
Even on overleaf and browser default spell checker, my Thesis feedback contained a few typos from my Advisor each time I sent him for review.
BTW: Overleaf added LLM integration which help solving LaTeX errors but you pay for it separately. But I feel like overleaf with their good docs on LaTeX something positive for science and hope they manage to adapt with this nee competition.
Ok! Here's <more slop>
I'm not sure I'm convinced of the benefit of lowering the barrier to entry to scientific publishing. The hard part always has been, and always will be, understanding the research context (what's been published before) and producing novel and interesting work (the underlying research). Connecting this together in a paper is indeed a challenge, and a skill that must be developed, but is really a minimal part of the process.
Maybe you get reimbursed for half as long as there are no obvious hallucinations.
While well-intentioned, I think this is just gate-keeping. There are mountains of research that result in nothing interesting whatsoever (aside from learning about what doesn't work). And all of that is still valuable knowledge!
https://hn.algolia.com/?dateRange=pastYear&page=0&prefix=tru...
https://hn.algolia.com/?dateRange=pastYear&page=0&prefix=tru...
This is a space that probably needs substantial reform, much like grad school models in general (IMO).
On the other hand, the world is now a different place as compared to when several prominent journals were founded (1869-1880 for Nature, Science, Elsevier). The tacit assumptions upon which they were founded might no longer hold in the future. The world is going to continue to change, and the publication process as it stands might need to adapt for it to be sustainable.
For developers, academics, editors, etc... in any review driven system the scarcity is around good human judgement not text volume. Ai doesn't remove that constraint and arguably puts more of a spotlight on the ability to separate the shit from the quality.
Unless review itself becomes cheaper or better, this just shifts work further downstream and disguising the change as "efficiency"
I've noticed this already with Claude. Claude is so good at code and technical questions... but frankly it's unimpressive at nearly anything else I have asked it to do. Anthropic would probably be better off putting all of their eggs in that one basket that they are good at.
All the more reason that the quest for AGI is a pipe dream. The future is going to be very divergent AI/LLM applications - each marketed and developed around a specific target audience, and priced respectively according to value.
I haven't tried it yet but Typst seems like a promising replacement: https://typst.app/
Typst feels more like the future: https://typst.app/
The problem is that so many journals require certain LaTeX templates so Typst often isn't an option at all. It's about network effects, and journals don't want to change their entire toolchain.
This is all pageantry.
We removed the authorship of a a former co-author on a paper I'm on because his workflow was essentially this--with AI generated text--and a not-insignificant amount of straight-up plagiarism.
The earlier LLMs were interesting, in that their sycophantic nature eagerly agreed, often lacking criticality.
After reducing said sycophancy, I’ve found that certain LLMs are much more unwilling (especially the reasoning models) to move past the “known” science[1].
I’m curious to see how/if we can strike the right balance with an LLM focused on scientific exploration.
[0]Sediment lubrication due to organic material in specific subduction zones, potential algorithmic basis for colony collapse disorder, potential to evolve anthropomorphic kiwis, etc.
[1]Caveat, it’s very easy for me to tell when an LLM is “off-the-rails” on a topic I know a lot about, much less so, and much more dangerous, for these “tests” where I’m certainly no expert.
Seems like they have only announced products since and no new model trained from scratch. Are they still having pre-training issues?
I can't wait
vitalnodo•1h ago
On the other hand, Overleaf appears to be open source and at least partially self-hostable, so it’s possible some of these ideas or features will be adopted there over time. Alternatively, someone might eventually manage to move a more complete LaTeX toolchain into WASM.
[0] https://crixet.com
[1] https://www.reddit.com/r/Crixet/comments/1ptj9k9/comment/nvh...
[2] https://news.ycombinator.com/item?id=42009254
[3] https://news.ycombinator.com/item?id=46394937
songodongo•1h ago
vitalnodo•1h ago
They’re quite open about Prism being built on top of Crixet.
crazygringo•1h ago
I do self-host Overleaf which is annoying but ultimately doable if you don't want to pay the $21/mo (!).
I do have to wonder for how long it will be free or even supported, though. On the one hand, remote LaTeX compiling gets expensive at scale. On the other hand, it's only a fraction of a drop in the bucket compared to OpenAI's total compute needs. But I'm hesitant to use it because I'm not convinced it'll still be around in a couple of years.
efficax•41m ago
crazygringo•18m ago
The visual editor in Overleaf isn't true WYSIWIG, but it's close enough. It feels like working in a word processor, not in a code editor. And the interface overall feels simple and modern.
(And that's just for solo usage -- it's really the collaborative stuff that turns into a game-changer.)
radioactivist•17m ago
bhadass•15m ago
a lot of academics aren't super technical and don't want to deal with git workflows or syncing local environments. they just want to write their paper.
overleaf lets the whole research team work together without anyone needing to learn version control or debug their local texlive installation.
also nice for quick edits from any machine without setting anything up. the "just install it locally" advice assumes everyone's comfortable with that, but plenty of researchers treat computers as appliances lol.
vicapow•46m ago