Having an AI do a quick check of research studies is about as effective as just trusting a Vogue magazine article. You are just fooling yourself into thinking there is something useful there, there is not.
Well OP is asking about a specific paper and you are asking for it to be disproven, different requests and the LLM is just doing what you want.
Classic "you're holding it wrong" (maybe enhanced by exercise/nutrition science being what it is with a study and expert representing every side of an argument)
I'd personally probably do it like
> Someone told me about a recent paper which showed that sleep deprivation had surprisingly little impact on muscle hypertrophy, and that mechanical stimulus seemed to be the dominant factor.
> Can you comprehensively fact-check this, and let me know what the general scientific consensus on the topic is?
Even then you can't be certain of course. Even reading the cited studies you can't be certain unless you know enough to interpret them. But you'll probably be a bit more informed than you would be if you were just going off news article titles you see on social media like the average person.
Not OP, but I asked Gemini 3.8 Flash this question (via self-hosted LibreChat) and got an excellent answer:
I'm trying to figure out how heat dissipation works. Specifically, I have a block of aluminum with extruded fins (as a heat sink) and I'm trying to understand how many 30-watt LEDs I can place on it. I have a fan as well, and I'd like to understand how fast I need to run it at different power levels (the LEDs are dimmable). I can gather measurements empirically (which I'll do), but I also want to understand the basic mathematical basis I should use for estimating these values.
How can you determine if it's explanation is good if you don't already know the answer? You are not qualified to know if it's answer is correct, by hypothesis.
Just talk to 3.8 flash about whatever (caveats: ancient knowledge cutoff of jan 2025, small parameter model so if niche '90s korean animated series is your jam, it's gonna be rough). The model is a real joy to talk to, I even will feed it SOTA model output to clean up and clarify for me.
Its the first model ever that I have been worried about a successor losing the "feel" that it has.
I'll publish a few of my convos
1. Sleep debts effect on muscle size and strength gain
https://share.gemini.google/Gvdb5Q02INrl
2. Fish oil and extra cellular vesicles
https://share.gemini.google/fem9EBCe4mfy
3. Pharmacology question about human-equivalent dose
https://share.gemini.google/RWNYJ2eiNjcU
Yea, but you are just accepting AI slop.
Here is your first example, "corrected": https://share.gemini.google/DCSLT4PPap5q
Having an AI do a quick check of research studies is about as effective as just trusting a Vogue magazine article. You are just fooling yourself into thinking there is something useful there, there is not.
Well OP is asking about a specific paper and you are asking for it to be disproven, different requests and the LLM is just doing what you want.
Classic "you're holding it wrong" (maybe enhanced by exercise/nutrition science being what it is with a study and expert representing every side of an argument)
I'd personally probably do it like
> Someone told me about a recent paper which showed that sleep deprivation had surprisingly little impact on muscle hypertrophy, and that mechanical stimulus seemed to be the dominant factor.
> Can you comprehensively fact-check this, and let me know what the general scientific consensus on the topic is?
Even then you can't be certain of course. Even reading the cited studies you can't be certain unless you know enough to interpret them. But you'll probably be a bit more informed than you would be if you were just going off news article titles you see on social media like the average person.
Not OP, but I asked Gemini 3.8 Flash this question (via self-hosted LibreChat) and got an excellent answer:
How can you determine if it's explanation is good if you don't already know the answer? You are not qualified to know if it's answer is correct, by hypothesis.
[flagged]
Just talk to 3.8 flash about whatever (caveats: ancient knowledge cutoff of jan 2025, small parameter model so if niche '90s korean animated series is your jam, it's gonna be rough). The model is a real joy to talk to, I even will feed it SOTA model output to clean up and clarify for me.
Its the first model ever that I have been worried about a successor losing the "feel" that it has.