supplement scam + exploratory sheet
Β· Zi Wang Β· 1 min read
Z / Runner ππ»ββοΈ
ππ»ββοΈ connect fx/dexa w/ episodes from peter attia.
ππ»ββοΈ no, 10/10 conviction on byoD (data). "PERSONALIZED_HEALTH_INSIGHTS" is already connected on my prototype.ππ»ββοΈ truish.
ππ»ββοΈ de-re/compose daily supplements β whole foods.
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ππ»ββοΈ science is settled, foolish thesis; d3+k2, creatine, coffee, omega-3 (low risk, high reward, decades of RCT data)... no need to proof circle is round. Plus, all elite & professional runners (especially in Europe are taking d + fish oil). -
ππ»ββοΈ maintain large-scale, programmatic, unsupervised extraction of ai sheet is the obvious & immediate use case. Mass consumer use cases near zero, ai sheet is a power-user/b2b. Facts: 2.5 billion chatgpt messages/day, less than 10% send more >1 message per week. -
ππ»ββοΈ YES! Get the data, turn cacophony (shilling fads) into euphony (evidence-based guide). Best way to dispel lies is maximum truth seeking (elon). -
ππ»ββοΈ agree, open/explore/play, but i need all the data from consumerlabβ¦ -
ππ»ββοΈ turn the ai agent towards government procurement (currently a black box). sam.gov is canonical source for $700b annual flows (range $10k - $10b dod)... has api. grant.gov (nsf, nih) has $300b in grants, xml+api. usaspending.gov (shows past winners, recurring vendors, patterns). If elon, palmerβ¦ are "griffting" on spend, assume there are spend that can be captured in the wellness space for generating 10x revenue.
Stephen / Basketball π
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π ok / ready to share your fx login now to test? -
π ha, your pdf is scrambled and your manus scrap got many numbers wrong. -
π PERSONALIZED_HEALTH_INSIGHTS is a markdown folder? -
π definitely useful, but show me your n=1 control trials that supplements have >1% on fitness. not just boosting vitamin d in blood test by taking it. your body or your sports may not need as much vitamin d β or have homeostasis mechanisms to push and maintain vitamin d at a lower level? -
π yes, proven on fish oil but not fish oil supplement. show me the study otherwise? "settled" but what's effect size on the highest-level impact metric (fitness)? -
π also, low use of ai (sheet or other tools) since N=1 β capital N for the numbers of (daily) uses. likely N<1 for life. -
π yes, on parallelizing and extraction β but that's just good system scaling, not intelligence the best model can offer: multimodal, sentiment, reasoning.. -
π or, go to other extreme: systemically expose (destroy!) the whole supplement scams. ai sheet of 100k opposing debates on each supplement: researchers, experiments, contradictions. -
π yes, but do it on the most valuable and impactful contradiction first; as you said, low risk + (placebo) high reward on supplements β so most people don't care.
π which 3 more features to add β so #ai-sheet is useful for _ every day?
for now, i want active, interactive, exploratory use cases β not just passively monitoring biometrics or representing analysis.π ok, let's start with fish oil β what're your prompts on them?π ha, i doubt we can 10x $doge or take incubuments' lunch. assuming i can get these data, what're your prompts for redirecting their trillions our way?