Stb-tester is exhibiting at #IBC2025 this week! Drop by our stand (14.B57) to see how our private, on-device AI models can be adopted incrementally in your existing test scripts.
https://t.co/gBhL6fbp63
@hugs @StooCrock Maybe I’m being too sceptical, but this reads to me like very little value compared to a human tester, and it hints at extensive human validation/triage of the results.
@hugs @StooCrock “As of January 2024, DragonCrawl executes the core-trip flow in 5 different cities once per night, and also for the Rider and Driver Android apps before releasing them to our customers.”
@mvandemar@SullyOmarr@vercel Exactly! It found *a* relevant part of the codebase and implemented a hack/workaround, which is still impressive I suppose, but claiming that it understands the entire codebase, or what's causing the actual issue, is a bit of a stretch.
This reminds me of Vandewiele et al's 2020 metastudy that found FIFTY PERCENT of ML papers trained on a particular electrohysterography dataset had train/test set data leakage: https://t.co/N29oylAghZ
Andrew Ng is one of the most recognized researchers in the world.
In 2017, a team he led published a paper with a huge mistake. 11 days later, they had to publish a correction.
Here is what happened:
In the @AppleTV latest update (tvOS 16.2 20K362) the "Reduce transparency" and "Increase contrast" accessibility settings appear to be doing the opposite.
@jamesshore So far I have dealt with this by running my contract tests frequently (every 10 minutes). Your runtime telemetry sounds kinda like moving the contract testing into the production code itself - interesting.