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.
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.
Did you read an LLM summary of the article? It mentions all of those topics but none of them in the way you say.
The article describes a reverse-engineering effort in Bulgaria during Soviet times, but doesn't say anything anti-communist, just that direct commerce with the West was not possible at that time. It relates that effort to the author's motivation for working on an open-source circuit analyzer, and takes a pretty strong stance against uncritically adopting technology without any attempt at understanding how it works.
On the contrary, the first companies to acknowledge the new AI Winter will have a big competitive advantage over those still dumping money into the bottomless pit.
A big trend in AI spam is to take achievements in one field that could be called "AI" and use them as evidence of advancement in other fields that happen to be called "AI".
Tao has been doing a lot of demonstrations of using LLMs for search and translation by experts who already know enough about a field to judge whether generated text is valid or meaningful. Those are valid demonstrations, but they don't justify the LLM-as-intelligent-agent narrative being pushed by most of the reporting on the topic, so the whole situation reeks of payola.
A little bit of real content goes a long way toward getting people to pay for something unknown, which then turns out to be AI-generated. Even if they are not satisfied, that counts as AI content making a sale.
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)