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わーい！わーい！ ORSOさんのピザ届いたー💕 あいりん、りかちゃん、私 それぞれ考えたピザだよ🍕🍴 食べるの楽しみー🥰 #Mousa秋のオフ会2025# #pizzaパーティー#

#Mousa秋のオフ会2025# pizzaパーティ 無事に終わりました😍ピザは勿論 パスタとかサラダとかすごく美味しかった😋 皆と色んなゲームして、おみやも渡せて 4時間あっという間の楽しい美味しいイベントでした🍴·͜· ❤︎ いい思い出をありがとう🩷 pizzeria&cafe ORSOさんありがとうございました🍕☕️

Use one kid format and vary two parts: protein and veggies. Hide greens in meatballs, burgers, or pizza crust, then switch proteins. Familiar shape helps kids eat; the full write-up lists the full rotation.

In the Codex app, you can move chats in and out of projects, reference another chat with `@` or drag it into the text box, and ask one chat to message another on your behalf. Including telling it that pineapple doesn’t belong on pizza. 🍍 @ChatGPT @OpenAIDevs

On tokens and prices per token. I said I’d write more about this, so here goes: an OpenAI token != another model’s token. We compare AI prices in dollars per million tokens as if a token were a standardized unit, like a gram or a kilowatt-hour. It isn’t. Different models use and produce the exact same text using different numbers of tokens, which means a lower price per token does not necessarily mean a lower bill. Imagine two identical pizzas. One is cut into 8 slices at $2 each. The other is cut into 16 slices at $1.25 each. The second place advertises cheaper slices, but the whole pizza costs $20 instead of $16. Bummer ... your stomach doesn't actually care about the number of slices you just ate. I know you are hungry now, but back to tokens. In one small comparison spanning English, technical, multilingual, and numerical text, the tokenizer we use for GPT-5.6 Sol used 766 tokens versus an estimated 1,170 for Claude Opus 5. That's a very significant difference of about 34.5% fewer tokens. You can get the same exact text, but pay for all those extra tokens. The price per token doesn't really tell this story. Even correcting for tokenizer differences misses the bigger point. What actually matters is price per successful outcome, and for that you can use benchmarks as a starting point, but really you have to try it and measure on your own use cases. That's all. May the tokens flow.

"Before I could finish my pizza, I knew she was the one. 7 seconds later, we were engaged." Mike D'Antoni with a nod towards his iconic offense in his @Hoophall enshrinement speech 😅 Watch the Class of 2026 Enshrinement Ceremony on NBA TV and the NBA App.