Many people think any given ML project is 99% training.
In reality, it’s 50% evaluation, 40% data cleaning, 8% integration, and 2% training.
The first two set the noise floor for learning. No ML magic matters; the model cannot lower the noise floor, as that’s the optimal bound of Shannon encoding of your data.
Thus, not a single day goes by without me thinking about ontology. Even the old labels have to be constantly reviewed.
@buildwithbob@MMA_PROS_PICK_ Yes, I agree. Khamzat didn’t land anything. Sean’s nose was broken by his own punches, and his face was telling a different story. You’re right, I agree.
@tearsien@USMAN84kg Sean has no wrestling defense. The weight cut made Khamzat tired, otherwise it would’ve been wrestling all day like what he did to DDP. But anyways Khamzat didn’t deserve to win. Should’ve been a draw!
@imransiddique89 Bro, relax Saim is 23 years old. He still has huge potential, and if the PCB helps him work on his mistakes, I’m pretty sure he’ll be back in no time.
JUNE 2028.
The S&P is down 38% from its highs. Unemployment just printed 10.2%. Private credit is unraveling. Prime mortgages are cracking. AI didn’t disappoint. It exceeded every expectation.
What happened?
https://t.co/JzzwCrbJgS
💥 STARTING OFF 2026 WITH A BANGER 💥
‼️ ANNOUNCED: Teofimo Lopez will defend his Ring and WBO junior welterweight world titles against Shakur Stevenson on January 31st, 2026, headlining The Ring VI in New York City, exclusively on DAZN 🔥