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Ran the numbers on the plan changes for Codex, looking pretty good! $500 plan nets to ~$10.5k/month of usage $200 plan nets to ~$4.3k/month of usage
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Ran into that $PURR flow during yesterday's Zoom office hours Open interest - 13000 ✅
Ran Neuner reveals how he processes a loss before letting it go “When you have a bad experience, the first thing you have to do is mourn the loss. You chisel at whatever happened from every angle. Why didn’t I do this, I’m so stupid, who should I have listened to. You be angry at yourself and hate yourself for doing it, until you’ve chiseled the rock and there’s no more rock.” “That’s the point where you let go of the past. You take the learnings but you can’t let it keep weighing you down, otherwise you don’t have a future. The difference between those who make it and stay at the top and those who don’t is how quickly you can get up and keep fighting.”
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Ran a single task test between V4-Pro & V4.1-Flash-1070 - check out this efficiency. Insane 🔥
Ran another 5k race today and I did a personal record ! 💪🏻 I pushedddd it, ran like my life depended on it, I love running so much! Won’t know the podium results until a few days but have a feeling I did alright 🤔go runnnnnnnnnnnnnn
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Ran into a group of ducks blocking the road.🦆
Ran Neuner on the themes that dominated Token2049 last week: "Real world asset tokenization was the clear, clear, clear theme." "Social trading, real social trading, not social trading where everyone loses money. I think that's the next big theme." "In the distance it's AI." "For now, let's just get everything onchain." @cryptomanran @crypto_banter
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ran is changing tactics to step up attacks on ships in the Strait of Hormuz, aiming to keep oil prices high ahead of the Nov. 3 U.S. midterm elections, per Reuters. Nearly 20 commercial ships, mostly tankers, have been attacked in the past month in and around the strait.
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Ran TensorFold (EXL3) against my own vLLM TP2 recipe, same prompts: ⚡ Code 82 vs 69 tok/s ⚡ JSON 84 vs 71 ⚡ Prose 44 vs 35 📈 Mixed load at C4: 108 vs 72 tok/s (+51%) 🚀 Prefill 1,781 vs 1,225 tok/s 🧠 500K context vs 262K Two boxes on a desk 🤯
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