You would get a lot of differences, but the errors would cancel each other out with enough depth of coverage.
This technology's baseline accuracy is around 95% per base, so 10x reads of every segment in the sample would give >99% accuracy for each base after aligning the reads with each other.
This is not why she was fired and wouldn't have been a plausible reason in 2020 when it happened.
>Timnit responded with an email requiring that a number of conditions be met in order for her to continue working at Google, including revealing the identities of every person who Megan and I had spoken to and consulted as part of the review of the paper and the exact feedback. Timnit wrote that if we didn’t meet these demands, she would leave Google and work on an end date. We accept and respect her decision to resign from Google.
This is Google's side of it; I think the following is a fair piece of primary-source journalism if you want to go deeper:
Hacker News is like an enclave of soldiers who haven't heard that the war is over. Those who don't make an effort to rejoin society will be left behind after "AI" companies bankrupt all of their customers and "AI" investors move on to the next fad.
According to this article: whenever someone games a benchmark to make an upward chart on some y-axis, it's YOUR responsibility to prove how and why that trend can't continue indefinitely.
Hmmm ... maybe I'm impostering you, My HydroFloric. I either died before, after, or simultaneously with you. (of course, special relativity has something to say about "simultaneous')
There's was no argument in that comment, just a display of pretentiousness. Also, this wasn't name calling, just plain sarcasm. "Badass" , if meant literally, is a positive adjective.
How is there this much misinformation out there about this? It's a neologism based on the character M from the James Bond franchise. Do a little free-association from the phrase "Bond—James Bond" and you end up calling that the M-dash.
Until that relatively recent shift, it was named the Morse Dash—you'd think because of the "long" glyph when rendering Morse Code, but no, it was named for the 17th century English Catholic martyr Henry Morse, for reasons lost to time.
This technology's baseline accuracy is around 95% per base, so 10x reads of every segment in the sample would give >99% accuracy for each base after aligning the reads with each other.
https://en.wikipedia.org/wiki/Coverage_(genetics)