I looked a little into the literature on how much alcohol consumption actually affects rates of oral cancers in populations with ALDH polymorphism, and this particular study seems to be helpful in modelling how the likelihood of oral cancer increases with alcohol consumption for this group of people (found in this meta-analysis).
The specific categories of drinking frequency don’t seem to be too nice here, given that it was split between drinking <=4 days a week, drinking >=5 days a week and having less than 46g of ethanol per week, and drinking >=5 days a week and having more than 46g of ethanol per week. Only in the latter category was there an actual significant increase in oral cancer rates (4.4x), although there is some non-significant evidence for about a 1.5x increase in the high-moderate group and the moderate group. Comparing the ~77 mg/week ingestion rate from the document to the 10-40g range I would estimate the high-moderate group to have, I would imagine that there is probably a much more minor effect for Lumina (if I had to estimate, maybe like a 1.1x risk, which might be offset by the benefits of lower levels of lactic acid at that level).
One other argument against this (which I would put a lower epistemic status on given my basic intuition of enzyme kinetics) would be that since people probably tend to have more than 10 milligrams of alcohol every time they have a gulp of an alcoholic beverage, ALDH2 deficiency would be much more of a bottleneck as acetaldehyde levels rise rapidly after consuming alcohol compared to the rather low background generation of acetaldehyde we might see for Lumina users.
As I am being slightly a “man of one study” here, I’d be interested to see if you’ve found any studies of your own that demonstrate more of an effect of alcohol consumption on oral cancer for ALDH2 deficiency than I’ve been listing here.
By using @Sergii’s list reversal benchmark, it seems that this model seems to fail reversing a list of 10 random numbers from 1-10 from random.org about half the time. This is compared to GPT-4′s supposed ability to reverse lists of 20 numbers fairly well, and ChatGPT 3.5 seemed to have no trouble itself, although since it isn’t a base model, this comparison could potentially be invalid.
This does significantly update me towards believing that this is probably not better than GPT-4.