Thought this girl was Woke 1.0 (kill all men) so i tried "you're always right" gimmick, but she was actually Woke 2.0 (anti-bioessentialism) and i gave her the ick
🗣️ "I learned a lot, I made some mistakes, and I am sorry for that."
Ruben Amorim apologises to Manchester United fans after he was dismissed by the club in January following 14 months at Old Trafford.
Nunca na vida isso aqui era pênalti, mas como a Argentina é filhinha da FIFA nem fizeram revisão dessa VERGONHA
bem feito que o Messi perdeu #ARGxEGI https://t.co/O5zNO1IPxY
@ogheneyxle We always do the mistake to discuss the decisive moments when matches like this happen.
These teams are officiated differently and it shows
https://t.co/2y2rHhHPmg
Salah is disappointed that the referee keeps helping Messi and Argentina. Salah was through on goal and the referee blew a foul against Egypt for Parades failing to get the ball.
Truly Pathetic.
Lol...
This is why Data Science/ML fundamentals will always matter.
You can't make one model "reason like" another just because you asked it to. A prompt can help a model use the abilities it already has better, but it doesn't give the model new capabilities.
It's like saying me having a one-hour conversation with Elon Musk will suddenly make me compete with Aliko Dangote or Tony Elumelu in business.
That conversation might give me a different perspective or a few good ideas, but it won't give me their years of experience, the decisions they've made, or the knowledge they've built over time.
LLMs work in a similar way.
What they can do comes from their architecture, the data they were trained on, how they were optimized, and how they're designed not from a clever prompt.
The more you understand the fundamentals, the easier it becomes to separate what's technically possible from what's simply a viral AI claim.
Sukuna contra el 90% de sus oponentes:Podría matarte al instante si quisiera, pero mejor jugaré contigo porque quiero ver qué tan lejos puedes llegar y después te mataré
Sukuna cuando su oponente es de la era Edo: