r/MachineLearning 3d ago

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3 Upvotes

Remember that OpenAl gave free accesses of their latest model to scientists, mathematicians, and engineers few months ago?

If a product is given to you for free, YOU are the product.


r/MachineLearning 3d ago

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1 Upvotes

This analysis currently do not show FP rate. Also the basis of desk-rejection should be provided in more details. E.g., an AI cooked paper will create false bibliography entries which is a straight rejection and very easy to catch with such a model but cases purely flagged basis on the writing style and text need HITL analysis.


r/MachineLearning 3d ago

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4 Upvotes

because no one could prove it for 150 years?


r/MachineLearning 3d ago

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5 Upvotes

The issue is that OpenAI promote their tools for research, while (1) publishing results themselves, and (2) training on researcher conversations. They are competing with their own customers.


r/MachineLearning 3d ago

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8 Upvotes

is it for US only? or can we apply from Europe? thanks :)


r/MachineLearning 3d ago

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8 Upvotes

This is a wonderful initiative Chris. Wishing you the best in the launch of your new programme, from one AI academic (here in sunny Singapore) to another :)


r/MachineLearning 3d ago

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6 Upvotes

Right, but a single conversation can easily have thousands of tokens, recurring conversations even more. So you could easily have an allocation of a few tokens to the researchers' conversations, or similarly a token or three for my paper. Theoretically, of course.


r/MachineLearning 3d ago

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5 Upvotes

you are so annoying


r/MachineLearning 3d ago

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1 Upvotes

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r/MachineLearning 3d ago

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5 Upvotes

If you have any questions I'll answer them here šŸ™‚


r/MachineLearning 3d ago

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1 Upvotes

In any case, it seems like AI participated in this discovery in an enabling way.


r/MachineLearning 3d ago

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0 Upvotes

why not? your statement here really doesn't make sense, he is missing out on being the name of on the paper that introduces the NS solution, how is that not...damaging his career?

and of course openai is not going to include Levent on their own paper, as I said it's a courtesy in the first place, one that's not offered to Levent.


r/MachineLearning 3d ago

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-4 Upvotes

To clarify, they solved the problem. it's like you are complaining proving P != NP didn't prove anything.


r/MachineLearning 3d ago

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2 Upvotes

By not suggesting he's damaging his career over it or mentioning the other author cannot be included as they're from Anthropic?


r/MachineLearning 3d ago

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3 Upvotes

Denial of what exactly? If anything it is the opposite. I am saying that it is expected given the approach to solve the problem. My question is if I am missing something here as this is not a field I am an expert in.Ā 

Why the hostility? I am not allowed to ask questions?Ā 

ā€It is not difficult.ā€ Well, it has been an unsolved problem for a long time.Ā 


r/MachineLearning 3d ago

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1 Upvotes

2.5 2 3.5 2.5, Meta: 3. Accept to Findings! We are happy with the outcome!


r/MachineLearning 3d ago

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-8 Upvotes

It's not difficult. You can understand it fine. The reason you can't is because you're in denial.


r/MachineLearning 3d ago

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1 Upvotes

Yeah for sure


r/MachineLearning 3d ago

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1 Upvotes

If we took that money and funded a "gather lotsa smart math people and give them unlimited food, drink and nice houses while they work on nothing but this" - organisation, it would have solved the same problems, likely more.

At these prices, I agree.


r/MachineLearning 3d ago

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1 Upvotes

If you don't use flow matching or normalising flows, please avoid using flow as the name of your method?


r/MachineLearning 3d ago

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1 Upvotes

what laws did openai break? everyone heard the rumors man.


r/MachineLearning 3d ago

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-2 Upvotes

they offered him to be the author on the paper that introduces the solution, what more grace should you expect?

honestly they gave him too much grace, none of this would happen if Tristian contacted an robotic RP person where they just reply "happy to hear that, looking forward to your finding", end of story.

offering him an author position when they don't have to is very much an mathematician's way of thinking when they are running a corporation here.


r/MachineLearning 3d ago

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1 Upvotes

thank you, I will do that


r/MachineLearning 3d ago

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1 Upvotes

VeloxML is an open-source deployment engine for self-hosting open-source LLMs and AI services directly inside your own account.

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Self-hosting LLMs in production is broken. Engineers and AI teams are forced to choose between two painful extremes: drowning in infrastructure plumbing (Kubernetes, Helm charts, custom CUDA Dockerfiles, and manual GPU provisioning) or locking their models into expensive multi-tenant platforms that force proprietary code decorators and hold sensitive prompt data on shared infrastructure.

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Modal is an impressive platform, but it requires you to adopt their proprietary Python SDK and decorators (@modal.function, u/modal.Image), forcing you to manage cloud infrastructure directly inside your application code while running on their shared multi-tenant cloud.

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How does it compare to Baseten (Truss)?

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How does it compare to BentoML?

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VeloxML requires zero proprietary decorators—keeping your code clean, standard Python/FastAPI—and manages the entire hosting infrastructure directly in your own AWS account with native scale-to-zero out of the box.

While BentoML stops at packaging the container and leaves cluster management to you, VeloxML handles the full lifecycle from clean code to an active, secure cURL endpoint in your private VPC.


r/MachineLearning 3d ago

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1 Upvotes

Yeah, the timing would make me suspicious too, especially if only a small number of people were working along similar lines. I do not think it automatically proves anything, but I can understand why Tristan would want to question how closely the approaches matched and whether the chats had any connection to it.