Do you want to save people’s lives by diagnosing respiratory diseases months before even the most competent doctors could buy analysing x-rays and CT scans?
Then yes you need AI
AI has it’s legitimate uses and just blindly treating like the devil incarnate only hurts the many many valid criticisms of AI.
Yeah true, but I’m really proud of the work my team does and very invested in it, so will always come to it’s defence when people say AI in general is bad, even if they probably mean genAI
Yeah true, but I’m really proud of the work my team does and very invested in it, so will always come to it’s defence when people say AI in general is bad, even if they probably mean genAI
It’s not just companies pushing “AI” hype that are dishonest, the term itself is: artificial neural networks today simply do not meet reasonable definitions of intelligent and they won’t anytime soon.
Cheers to you for doing useful work, but why not call it something more accurate like computer vision or medical image computing?
spoiler
i guess maybe because calling things “AI” gets them funded? 😭
We’ve been using the term AI for a very long time now and it’s a very generic term that covers a bunch of technologies, like we’ve been talking about enemies in video games having AI for decades and people don’t find the need to correct that
Fair, but I always take “AI” to mean in particular generative AI (images/videos or text/code), and even more particularly, the models which are shoved into anything and everything and that some of us are “strongly encouraged” to use at work. I suspect many of us do in that comm.
It would be great if language was never abused, and we always made the distinction between this and other applications/fields of statistical learning but marketing departments have decided otherwise…
Due to the nature of it we aim to minimise false negatives rather than false positives, but our current version gives a correct negative around 98.6% of the time a correct positive around 87.8%
Compassionate fucking Buddha do people—sorry, not people: tech nerds—ever not comprehend the notion of “context” and “common parlance” and such.
Here’s a thought: fuck the fuck right fucking off from a group literally named “fuck AI” if your fucking fee-fees are so fucking fragile you can’t fucking not be a fucking dork, M’kay?
Do you want to save people’s lives by diagnosing respiratory diseases months before even the most competent doctors could buy analysing x-rays and CT scans?
Then yes you need AI
AI has it’s legitimate uses and just blindly treating like the devil incarnate only hurts the many many valid criticisms of AI.
I’m not OP but I guarantee you this meme is about generative AI and not the machine learning applications you’re referring to
Not generative, no. Degenerative. LLMbeciles and their ilk. What most people refer to as “AI” today in common parlance.
But they knew that. Just like you did. They just need to be dorks to get that flagging ego of theirs hard.
Yeah true, but I’m really proud of the work my team does and very invested in it, so will always come to it’s defence when people say AI in general is bad, even if they probably mean genAI
It’s not just companies pushing “AI” hype that are dishonest, the term itself is: artificial neural networks today simply do not meet reasonable definitions of intelligent and they won’t anytime soon.
Cheers to you for doing useful work, but why not call it something more accurate like computer vision or medical image computing?
spoiler
i guess maybe because calling things “AI” gets them funded? 😭
We’ve been using the term AI for a very long time now and it’s a very generic term that covers a bunch of technologies, like we’ve been talking about enemies in video games having AI for decades and people don’t find the need to correct that
that’s not me that needs it, though, I’m not in that field
Fair, but I always take “AI” to mean in particular generative AI (images/videos or text/code), and even more particularly, the models which are shoved into anything and everything and that some of us are “strongly encouraged” to use at work. I suspect many of us do in that comm.
It would be great if language was never abused, and we always made the distinction between this and other applications/fields of statistical learning but marketing departments have decided otherwise…
AI in the setting of radiology is a somewhat useful tool in niche areas but not replacing radiologists anytime soon.
But how accurate is it. If anything like any other use, it’s dubious at best.
Due to the nature of it we aim to minimise false negatives rather than false positives, but our current version gives a correct negative around 98.6% of the time a correct positive around 87.8%
Compassionate fucking Buddha do people—sorry, not people: tech nerds—ever not comprehend the notion of “context” and “common parlance” and such.
Here’s a thought: fuck the fuck right fucking off from a group literally named “fuck AI” if your fucking fee-fees are so fucking fragile you can’t fucking not be a fucking dork, M’kay?
Buh-bye, bozo.
I mean being autistic makes that a bit harder for me, but don’t let a little ableism get in the way of your weird little circlejerk.