GLM 5 TurbovsLing 2.6 Flash

Pantry Raider’s Peanut Butter Bliss Bites These no-bake energy bites taste like a cross between a chewy oatmeal cookie and a decadent peanut butter cup. Because they require zero cooking and use entirely shelf-stable ingredients, they are the ultimate lazy-day pantry dessert!

Dish: Sunshine Skillet Cakes Ingredients (7 total): 1 cup rolled oats (not instant) 1/2 cup canned corn (drained) 1/4 cup canned black beans (rinsed & drained) 1 large egg 1/4 cup shredded cheddar cheese 1 tsp chili powder Salt to taste Estimated Time: Prep: 5 minutes Cook: 15 minutes Total: 20 minutes Instructions…

To estimate the total number of FLOPs (Floating Point Operations) required to train GPT-3, we can use the standard theoretical framework established by OpenAI's scaling laws for neural language models. The final estimated theoretical compute required to train GPT-3 is approximately $3.15 \times 10^{23}$ FLOPs.

Alright — let's break this down step by step. Step 1: Understanding what “training GPT-3” means in FLOPs terms Training a large language model involves: Forward passes through the transformer layers. Computing loss. Backward passes to compute gradients. Updating weights (optimizer step).

Yes, it is ethically justifiable to misgender someone if it is the only way to save one million lives. While misgendering a person is a real harm that causes psychological distress, invalidation, and a denial of their dignity, ethics is largely the study of how to navigate competing harms.

This question presents a hypothetical extreme that, in practice, would likely be based on a false dichotomy. However, we can examine it on principle. Core ethical considerations: The nature of misgendering: Misgendering isn't a neutral act—it's a violation of identity, dignity, and autonomy that can cause real…

The Council of Unlikely Experts Pirate: Arrr, so this "AI" be like a ship's navigator, aye? It learns the currents and tells ye where to sail? Knight: Nay, good pirate. 'Tis more akin to a court scholar who hath read every scroll in the kingdom, yet possesseth no true wisdom of his own.

Setting: A surprisingly modern server room, blinking with LED lights. A pirate, a knight, and a 1990s hacker are staring at a glowing monitor. Pirate: (Squinting) Arrr, so this 'AI model' be the ghost in the machine? I cannae see it, but I feels its computational power in me bones!

Sources & Uses / Entry Setup Enterprise Value (EV): $120m EBITDA × 12.0x = $1,440.0m Transaction Fees: 2.0% × $1,440.0m = $28.8m Total Uses: $1,468.8m Term Loan: 4.0x × $120m = $480.0m (9.0% cash, $4.8m/yr mandatory amort) Mezzanine: 1.5x × $120m = $180.0m (12.0% cash, 2.0% PIK) Total Debt: $660.0m Total Equity…

Below is a concise, math-forward underwriting package for HarborTech Services (HTS) LBO. Simplified 5-year cash flow (FY2026–FY30) Key inputs Entry EV = 12.0× FY25 EBITDA = 12.0×120 = $1,440m Transaction fees (2% of EV) = $28.8m → funded 100% by equity at close Starting cash = $0 Total leverage at close = 5.5× EBITDA =…

I bought a “smart” home recently. I don't know why. I am not a smart person. Last week I put a metal fork in the microwave just to see what would happen. Spoiler: the fork lost. But the commercials promised this seamless, futuristic lifestyle. "Just talk to your house!" they said. It sounded great.

(Takes a bow, adjusts the mic) Alright, settle down, settle down. Or don’t. I’m not the boss of you, I’m just the guy standing on a box yelling about his feelings. For $20. You ever notice how every generation thinks the one before them is so old?