CMS Experiment at CERN, from Helsinki Institute of Physics
- Runner,XC-skier, hiker: most comfortable uphill.
RE: https://mstdn.social/@jschauma/115662916873125794
Read it, read all 6297 words. While you can still take that many.
I wrote about AI again. On some level I don't now why I do this to myself
https://jenniferplusplus.com/what-is-a-token/
Actually, I wrote most of it months ago, for work. But, it was well received, so I put it on my blog. This is the more generic version.
The short version is that AI is not magic. It's a real phenomenon with real behavior and tradeoffs. I'm deeply tired of *****ALL***** the tradeoffs being handwaved away. And so much imagination fills in for the actual behavior. So I tried to describe how it's built, because that informs how it works, which informs what it actually does. And to be clear, it does things. It's not useless. But that's not the same as being useful, or worthwhile.
Anyway, I already put ~4k words on this in the article, so I'll shut up and let it speak for itself.
Before: "Don't spend too long documenting things so people can know what's going on, write code."
After: "Don't spend too long writing code, document things so the agents know what's going on."
Before: "Don't spend too long trying to set up the culture and processes of the team so the develop/test/ship loop is smooth, write code."
After: "Don't spend too long writing code, make sure the agents are in a smooth develop/test/ship loop."
We weren't allowed to do it for humans, we _must_ do it for the robots.
I should have spoken up and said that this disgusted me.🤢
“It doesn’t have to be true! Just lie!” - that’s horrible career advice💀
I should have said that if someone had told me that in a mentoring session, I’d have seriously considered leaving the field🚪
I should have told him that this is not how to help with imposter syndrome🧠
Now I’m sharing this with you: maybe writing it down will finally help me let it go🤷♀️🌿
/end
#Academia #Mentorship #ScienceEthics #CareerAdvice #SpeakUp 🚫📢
He praised the mentor’s advice: “It doesn’t have to be true! Just lie!” 🟥
I can’t stop thinking about it, and I still regret not speaking up 🤐
But by the time I did a reality check: Did he really say that? Did I understand correctly? I looked around - no one reacted: maybe that’s what they all think 🤔 It was too late.
What I should have said💬:
2/3
Last year, I was invited to a conference in a neighboring field. After my part, I stayed to listen to a panel on societal impact. The discussion turned to women being underrepresented and needing encouragement to apply for academic positions👩🔬
One panelist enthusiastically recounted a mentoring conversation he’d overheard: a female early-career scientist unsure whether her skills met the requirements for a position - and whether she should apply.
What he said shocked me🤯:
1/3
Microsoft markets a 🇫🇮 -localized translator: https://www.microsoft.com/fi-fi/translator/
To any native Finnish speaker, the text on those pages is pure slop: grammar mistakes, nonsense sentences, and just plain wrong words everywhere💀
Nothing new, Finns have been laughing at machine translations for years 😄. Lately, though, they’ve actually gotten better.
The real question: where was the human in the loop? This product has one job - translate into Finnish - and it fails.🤔 Seriously, why?