That study cites that 45% of vendors had hallucinations, likely vendors using smaller or cheaper models. So 55% of vendors had no known hallucinations.
Provenance is part of the work. If a roomful of monkeys banged out something that looked like anything, I'd absolutely hang it on my wall. I would not say the same for 99% of AI generated art.
I remember this! Sorry again for the frustration >_< We made our Stripe API requests a little more robust after this happened.
We do get a fair number of disputes like the author where customers will cancel after getting billed, and then dispute it, even though we always give refunds to people who email and ask for one. It also feels like there's been a significant up-tick in recent months of disputes like these, maybe a reflection of the current economic climate. Hard to blame the customer though, for all the reasons listed by the top comment -- sometimes it's just easier to do it through the bank than figure out how to cancel through an app you forgot you even subscribed to.
This isn’t a given since there’s still a way to give them money directly for cosmetics (which makes them a ton of money). Many freemium business models give away a lot product for free with the goal of convincing a minority of users to pay and subsidize the rest.
This is neat. I've spent a lot of time thinking about implementing something similar for my company Eat This Much, but end up pushing it off in favor of focusing on our core meal planning features.
When something doesn't have a reference listed, and just says "sourced from a publicly available first-party datasource", what does that mean? Crawled from other sources and you'd prefer not to say? The wording does feel a little sketchy when contrasted with entries that do list sources.
When something does list references that don't seem super close to the actual food, what is the process like there for interpreting those values? Example, this Chicken Salad inheriting from Chicken Spread: https://www.opennutrition.app/search/chicken-salad-37mAX17YX...
The quality of the data might feel rough now, but I can see this being valuable for our users even if it's just an opt-in "show estimated micronutrients" or something. Would require labeling values as not being directly from a source of truth.
One thing that a lot of people are missing is that there is already a lot of inaccurate nutrition data out there. Even on information directly from the manufacturer, sometimes there are errors, or just old versions of the product that never get scrubbed from the internet (I imagine the latter case would be tricky for an LLM to deal with too). Just logging your dietary intake in any form will get you 80% of the benefit of tracking via some self awareness of your intake. Of course, it's an easy argument to point out that if you had the choice between verified data and fuzzy LLM data, you should go for the human verified data (for now).
I was under the impression that Tesla has put a lot of effort into building out support infrastructure? My perception is a bit clouded by the fact that I live a few miles from a service center.
I believe you'll meet the "Added or Free sugar" recommendation with 2 medjool dates, but AFAIK, the guideline isn't as strict on naturally occurring sugars, if there is any guideline at all aside from general carb consumption. Dates also have a surprisingly low glycemic index for how sweet they are.
My company tried using this a few years ago to build a cross platform app (and hopefully share a lot of code with our svelte web interface). We made a lot of progress in 3-4 months of trying, but we ended up running into too many odd bugs and edge cases that were difficult to debug. We eventually switched to Flutter for the mobile codebase.
No doubt this and nativescript have improved since then, but from my early impressions, I wouldn't have recommended nativescript for anything other than the simplest of interface needs.
For me personally, it’s appealing that it just provides a mirror to my existing MacBook. It gives me more flexibility on when to use glasses vs laptop screen, like if I need to take notes in a meeting/lecture hall.