While I absolutely agree with the need for cheaper way to obtain data, I don't think this is the major problem we're going to face.
While I absolutely agree with the need for cheaper way to obtain data, I don't think this is the major problem we're going to face. We now have ways of obtaining mountains of data (RNA-chIP comes to mind, but high-speed sequencing is a big one as well), but we don't know how to process it. We end up with thousands of candidate proteins, but then someone has to go through them one by one. Things are incredibly primitive. The huge pain point coming up is our ability to process information, which is very limited. How do you deal with machine generating TBs of data/day ? I think what's lacking is a culture of automation. Physicists do it, chemists do it, but biologists still do everything "by hand", and not only is that imprecise, is also slow and costly. We also need better ways of obtaining information about other's work. When there are 1000 paper a year published on your subject, how do you filter ? How do you even find the time to read papers in other subjects, which could be interesting in their methods, or just for general intuition and knowledge ? What we need is good algorithms, able to replace curate our sources of information well, and machines able to do the bulk-processing now needed in biology. Some things are coming up (I'm co-founding a start-up to do exactly this), but it should have happened 10 years ago.
Posted by TisButMe on Jan 3, 2015, 11:52 PM
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Raise real-world problems, find people facing the same issue, and discuss solutions.9,000 issues0 comments
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Not sure what you suggest to do.
NewWhy is this not yet published on the official website and why is there no CVE?
NewThe biggest problem with having an LLM do this, from what I've observed of at least frontier models, is that the way they are trained...
The biggest problem with MOND is that it was hand-crafted with additional parameters simply to fit the data.
(My comment is about detached houses).
The biggest problem with this is that I can't run my company's own internal benchmarks against this API, because they will be trained int...
> steer Claude away from over-engineering parts of the system in response to hypothetical concerns.
Why is there no comparison with FLUX 3 Image?
While I absolutely agree with the need for cheaper way to obtain data, I don't think this is the major problem we're going to face.
While I absolutely agree with the need for cheaper way to obtain data, I don't think this is the major problem we're going to face. We now have ways of obtaining mountains of data (RNA-chIP comes to mind, but high-speed sequencing is a big one as well), but we don't know how to process it. We end up with thousands of candidate proteins, but then someone has to go through them one by one. Things are incredibly primitive. The huge pain point coming up is our ability to process information, which is very limited. How do you deal with machine generating TBs of data/day ? I think what's lacking is a culture of automation. Physicists do it, chemists do it, but biologists still do everything "by hand", and not only is that imprecise, is also slow and costly. We also need better ways of obtaining information about other's work. When there are 1000 paper a year published on your subject, how do you filter ? How do you even find the time to read papers in other subjects, which could be interesting in their methods, or just for general intuition and knowledge ? What we need is good algorithms, able to replace curate our sources of information well, and machines able to do the bulk-processing now needed in biology. Some things are coming up (I'm co-founding a start-up to do exactly this), but it should have happened 10 years ago.
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