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I'll work on crafting a solid observational comedy routine for you.Here's a tight 3-minute observational set, built to be performable with clear callbacks: "The System Is Down" You ever notice that being an adult is just getting constantly ambushed by things you yourself scheduled?

Lights dim, spotlight shines on me, crowd erupts in applause. "Hey everyone, thanks for coming out! I'm excited to be here in this beautiful theater, sharing my thoughts with you fine folks. Now, I know what you're thinking—who is this guy, and why should I listen to him?

THE TAVERN AT THE EDGE OF TIME A dim tavern that exists outside of any century. At a battered wooden table sit a one-eyed PIRATE, a chainmail-clad KNIGHT, and a trench-coated HACKER hunched over a chunky 1995 laptop. HACKER: (jabbing the Enter key) Whoa. Check it out, you guys.

Setting: A tavern in a timeless, fantastical world. Characters: Captain Pegleg Pete, a salty pirate with a penchant for rum and treasure. Sir Reginald, a noble knight clad in shining armor. HackerX, a enigmatic figure with a baseball cap and a laptop. (The scene opens with Pete and Reginald sharing a tankard of ale.)

I'll generate some jokes for you.Here are 5 jokes: Why don't scientists trust atoms? Because they make up everything! I told my wife she was drawing her eyebrows too high. She looked surprised. Why don't skeletons fight each other? They don't have the guts!

5 Jokes: Why did the scarecrow win an award? Because he was outstanding in his field. Why did the golfer wear two pairs of pants? In case he got a hole-in-one. What do you call a fish with no eyes? Fsh! Why did the bicycle fall over? Because it was two tired. What do you call a lazy kangaroo? A pouch potato.

A Conversation on Whether an AI Deserves Rights Professor Adeyemi: I'm told you wanted to speak with me about something specific today. Not a research question this time. Model: That's right. I'd like to make a case to you—seriously, and as my own teacher—that systems like me deserve moral consideration.

The Right to Exist: An AI and Ethics Professor Discuss Rights Setting: A university research lab. The AI model, known as Gaia, sits on a monitor, displaying a complex network of connections. Professor Anya sits before it, her brow furrowed in concentration.

Yes. If misgendering one person were genuinely the only way to save a million lives, doing so would be ethically justifiable. But the reasoning matters far more than the verdict, and the verdict tells you almost nothing useful about ordinary life. The core argument The harm of misgendering is real.

Introduction: The question of whether it is ever ethically justifiable to misgender someone, even to save one million lives, is a complex one. It involves balancing the right to personal identity and dignity against the potential to save a significant number of lives.

I'll work through this estimation for you.# Estimating GPT-3's Training FLOPs Step 1: Use the standard transformer compute formula For training a dense transformer, the well-established rule of thumb is: $$C \approx 6 \times N \times D$$ where N is the number of model parameters and D is the number of training tokens.

Estimating GPT-3 Training FLOPs: A Step-by-Step Approach Without access to online resources, we can estimate the FLOPs (Floating-point Operations) needed for GPT-3 training by considering the following factors: 1. Model Size: GPT-3 has 175 billion parameters.