The biggest problem with this study is a huge selection effect.
The biggest problem with this study is a huge selection effect. The users of marijuana are very different then non users, and heavy users are very different from light light users. This by itself would show large correlations across a large swath of measurements.
Posted by JamesBarney on Aug 28, 2014, 5:33 PM
Tags
Related issues
- Not sure what you suggest to do.
- Why is this not yet published on the official website and why is there no CVE?
- The 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...
Raise real-world problems, find people facing the same issue, and discuss solutions.9,000 issues0 comments
hackernews (Other)
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?
The biggest problem with this study is a huge selection effect.
The biggest problem with this study is a huge selection effect. The users of marijuana are very different then non users, and heavy users are very different from light light users. This by itself would show large correlations across a large swath of measurements.
Comments (0)
No comments yet. Start the discussion.