@raiders@darktundra.xyz2026-01-21 22:59:28
Las Vegas Raiders can hire coach any time after fulfilling Rooney Rule https://www.reviewjournal.com/sports/raiders/las-vegas-raiders-can-hire-coach-any-time-after-fulfilling-rooney-rule-3610285/
@cowboys@darktundra.xyz2025-11-18 23:07:30
Cowboys cut former starting LB to make room for NFL preseason star https://www.si.com/nfl/cowboys/onsi/news/dallas-cowboys-cut-former-starting-linebacker-make-room-nfl-preseason-star
@Techmeme@techhub.social2025-11-21 16:55:49
Sources: Kalshi told investors that its trading volume grew six times in the last six months and it is on an annualized pace for $600M to $700M in net revenue (Cory Weinberg/The Information)
https://www.theinformation.com/articles/las-vegas-kalshi-king
@thomasfuchs@hachyderm.io2025-12-08 14:01:23
It's funny how "AI" tools are simulteanously marketed as "agents" that can run fully in the background and do stuff but whenever they do something bad it's the user at fault for not supervising the software that doesn't work.
Even when it’s directly used and the user has the chance to review everything—it’s extremely dangerous, especially at tasks it is doing fine like 95% of the time and/or when the bad things are only subtly wrong.
Imagine other tools being like this, like a steering wheel that turns the car 95 out of a 100 times. 2% of the time it steers into the other direction. 3% of the time it steers 5x as much as normally.
@AimeeMaroux@mastodon.social2026-01-14 08:51:25
It's the Day of Hermes aka Mercurius Day aka #Wodensday! 🐺🐺
"Another great abode is there, which is named Valaskjšlf. Odin possesses that dwelling. The gods made it and thatched it with sheer silver, and in this hall is the Hliðskjšlf, the high seat so called. Whenever Allfather sits in that seat, he surveys all lands."
Prose Edda, Gylfaginning
🏛 Odin on his thro…
@ellie@ellieayla.net2026-01-07 07:12:33
@mariyadelano@hachyderm.io2025-11-13 22:00:11
Curious that whenever someone shows me “the cool #AI flow” they built that’s supposed to be impressive, the conversation goes the same way:
Stage 1: “But you don’t understand. You don’t like AI because you haven’t used it right. Let me show you how much you can do it with.”
Stage 2: “Here are the steps in the flow and the instructions I feed to this agent / custom GPT / Claude project. I tell it to do X, reference document Y, and aim for Z.”
Stage 3: “Now, let me show you the results it gives.”
*Writes task, presses to run the prompt.*
Stage 4: “Umm sorry it’s taking a while. It’s fast but not instant. And by the way, the prompt isn’t perfect, you can definitely make it better. I just threw this together real quick the other day. It makes some mistakes, but it’s really good.”
Stage 5: “Uuuuuuh actually don’t look at the output.” *scrolls or stops screen share or pulls device away.*
“You know it’s already doing so well, if I do more prompt engineering it will get really good but I need to give it better instructions. And it ran just fine last night, I don’t know what’s up with it. And this is a cheap model, if we use another model it will be better.”
Stage 6: “You know, you really shouldn’t judge this so much. The technology will improve, it will get there sooner than you know and then you’ll regret not trying it sooner.”
So curious that this keeps happening 🤷♀️
#LLMs #work #tech #AIBubble