441–450 of 572 posts
Earlier quoted context omitted.
The range of stars is very deliberately NOT zero indexed, you cannot rate a product below 1.
It has been a constant source of irritation in my life that I could never rate the Spawn movie zero stars on IMDB.
Shame, shopping there felt like magic. I hope the technology is developed in future without having to rely on remote workers validating transactions. Definitely felt like the future of shopping
Isn't the same tech used in stadiums? At least in Seattle we can just walk out without paying, even alcohol. Obviously we have to scan our CC or something similar to get in but I always thought it was using the same Amazon tech. So even though these stores are closing, the tech is widely used and likely expanding and succeeding
Kind of defeated the purpose of just walk out. Since I couldn't... Just walk out.
I always found the "Amazon 4-Star" name funny. Presumably when it was first pitched internally it was called "Amazon 5-Star", then they realised that meant they basically couldn't sell anything, since nothing popular gets a full 5 stars. So they changed it to "4-Star", which just sounds awkward, and lacks the suggestion of top-quality that "5-Star" would. Instead, it's like the "Amazon Not-too-bad" store. I was amaze…
When did naming things have to reflect reality? ie it's "Burger King" and not "Bearable Burger"
I live right down the street from an Amazon Go store, and I like it because it's convenient when it's open, but the hours on this store stunk: it closed at 4pm sometimes. I found it very funny that this store advertised itself as a fully automated experience, when in fact there needs to be a worker/manager there all the time for it to be open. If it were actually automated, it could've been open 24/7
> On April 4, 2024, it was revealed that Amazon's "Just Walk Out" technology was supported by approximately 1,000 Indian workers who manually reviewed transactions. Despite claims of being fully automated through computer vision, a significant portion of transactions required this manual verification. ( https://en.wikipedia.org/wiki/Amazon_Go ) Wonder how much of this is due to economics since computer vision tech ne…
It's great that they faced essentially no consequences for this. A sure sign that we have a functional and sane market.
> On April 4, 2024, it was revealed that Amazon's "Just Walk Out" technology was supported by approximately 1,000 Indian workers who manually reviewed transactions. Despite claims of being fully automated through computer vision, a significant portion of transactions required this manual verification. ( https://en.wikipedia.org/wiki/Amazon_Go ) Wonder how much of this is due to economics since computer vision tech ne…
This was proven to be false on the WAN show. Only 20% of transactions were low confidence and handled by mechanical turk. https://m.youtube.com/watch?v=433kipkEERY&t=8479s
Business Insider also reached out to Amazon at the time and a spokesperson denied that actually reviewed any transactions.
This "proven false" thing is just another anonymous source claiming that actually it was only 20%.
So you actually have no proof of anything, you just have three persons claiming three different things (0%, 20% and 70%).
[1] https://www.businessinsider.com/amazons-just-walk-out-actual...
Earlier quoted context omitted.
Their initial advertising claimed near full automation by their "AI" system when, in reality, they had people manually handling around 70% of the transactions. I get that this is a message board for YC, so lying about your company's tech is considered almost a virtue but that is an unreasonably big lie to tell without getting your hand-slapped by some regulatory body or investor backlash.
I don’t remember Amazon claiming “near-full automation” by AI. They said that you can checkout automatically and that AI/computer vision is somehow involved.
No one cared what I was doing. Is this what it feels like to shop when you're not black?
> On April 4, 2024, it was revealed that Amazon's "Just Walk Out" technology was supported by approximately 1,000 Indian workers who manually reviewed transactions. Despite claims of being fully automated through computer vision, a significant portion of transactions required this manual verification. ( https://en.wikipedia.org/wiki/Amazon_Go ) Wonder how much of this is due to economics since computer vision tech ne…
It's great that they faced essentially no consequences for this. A sure sign that we have a functional and sane market.
> On April 4, 2024, it was revealed that Amazon's "Just Walk Out" technology was supported by approximately 1,000 Indian workers who manually reviewed transactions. Despite claims of being fully automated through computer vision, a significant portion of transactions required this manual verification. ( https://en.wikipedia.org/wiki/Amazon_Go ) Wonder how much of this is due to economics since computer vision tech ne…
[Disclaimer: Former Amazon employee and not involved with Go since 2016.]
I worked on the first iteration of Amazon Go in 2015/16 and can provide some context on the human oversight aspects.
The system incorporated human review in two primary capacities:
1. Low-confidence event resolution: A subset of customer interactions resulted in low-confidence classifications that were routed to human reviewers for verification. These events typically involved edge cases that were challenging for the automated systems to resolve definitively. The proportion of these events was expected to decrease over time as the models improved. This was my experience during my time with Go.
2. Training data generation: Human annotators played a significant role in labeling interactions for model training-- particularly when introducing new store fixtures or customer behaviors. For instance, when new equipment like coffee machines were added, the system would initially flag all related interactions for human annotation to build training datasets for those specific use cases. Of course, that results in a surge of humans needed for annotation while the data is collected.
Scaling from smaller grab-and-go formats to larger retail environments (Fresh, Whole Foods) would require expanded annotation efforts due to the increased complexity and variety of customer interactions in those settings.
This approach represents a fairly standard machine learning deployment pattern where human oversight serves both quality assurance and continuous improvement.
The news story is entertaining but it implies there was no working tech behind Amazon Go which just isn't true.
I live right down the street from an Amazon Go store, and I like it because it's convenient when it's open, but the hours on this store stunk: it closed at 4pm sometimes. I found it very funny that this store advertised itself as a fully automated experience, when in fact there needs to be a worker/manager there all the time for it to be open. If it were actually automated, it could've been open 24/7
Meanwhile in East Asia they have no problem with tons of 24/7/365 stores, even fully vending machine stores. Heck even Europe has vending machine stores that are constantly open without even a door that could be closed, selling grocery basics.
China has had 24/7 McDonald’s since forever, well, and lord of other things as well. But not grocery stores at least.