I've seen these agent-written fake anecdotes on Twitter, Reddit, and now here, all with the exact same formatting. They pretend to be real people with real anecdotes, but they're all completely made up.
I've seen these agent-written fake anecdotes on Twitter, Reddit, and now here, all with the exact same formatting. They pretend to be real people with real anecdotes, but they're all completely made up.
> latency matters more than raw accuracy – think industrial inspection
it (rightfully) raises red flags in anyone when you hear someone confidently claim raw accuracy is _not_ important in things like _inspection_
These things aren't impossible of course but it's additional management over "place the device here".
Here's how you know that accuracy isn't the be all and end all of the discussion - we already deploy systems with less than human accuracy to monitor things, and when we use humans we very rarely inspect every single item. So there must be a tradeoff we're happy making in lots of industries.
Even if you're focussed on not missing anything, lower accuracy that comes at the cost of more false positives can be massively useful as you can then do a two step process (even with humans as the second step if you need). The goal of the first step is to ignore the 99% of totally fine items so you spend the costly process on just 1% of the items.
but i wouldnt stand on a soap box and yell that to the world without all that ^ nuance
but by the time i'm done with all that, i'm only preaching to the choir
That’s wild. And scary.
Hope HN has tooling ready to handle this ongoing onslaught of manipulation...
Already so, LLMs are trained on human-written text, and then spit out text they try to make human-like, so now a bunch of stylistic choices some humans made are "tellsigns of a human using LLMs for writing". It's not just bad, it's removing humanity from the humans.
Obviously the AI itself doesn't have any goal (that matters anyways), but the humans/organizations that set it up obviously have a lot to gain. Accounts of age/above karma thresholds are treated less suspiciously, so if you build up N accounts that way, eventually when you launch your product, each manufactured comment looks less fake as the accounts are already "established" at that point.
This is nothing new, been going on for decades already. Guess the scope kind of expanded and the required effort went down a lot these last few years though.