@H_Determinante

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10 errores que alguien con clase NUNCA cometería (aunque muchos lo hacen sin saberlo). - Son errores sutiles que acaban destruyendo la elegancia (aunque lleves un traje de 3.000 $): 🧵...

@MindsetGOx

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La P0RN0GRAFI4 es la PEOR droga para los JÓVENES. He aquí por qué… - Hilo BRUTAL - ...

@trq212

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We’ve rewritten Claude Code’s terminal rendering system to reduce flickering by roughly 85%. We wanted to share more about why this was so difficult, how the fix works and how we used Claude Code to fix it 🧵...

@alex_prompter

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R.I.P few-shot prompting. Meta AI researchers discovered a technique that makes LLMs 94% more accurate without any examples. It's called "Chain-of-Verification" (CoVe) and it completely destroys everything we thought we knew about prompting. Here's the breakthrough (and why this changes everythin...

@FSupervielleB

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1/30 Los Night Stalkers del 160 SOAR se están llevando todo el mérito por infiltrarse sin sufrir bajas en plena capital de un territorio hostil. Sin embargo, sin quitarles mérito, hubo unos de los que siempre nos olvidamos preparándoles el camino. ¡Tira del hilo!🧵👇 ...

@AndrewKSheaff

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There is no perfect underwater kicking amplitude for all swimmers, but there’s a perfect amplitude for each swimmer. The key is to help them find it. Larger kicking amplitudes have the potential to create more propulsion, but also less drag. ...

@spikesonly

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Understanding Duty Factor- The best way to deconstruct sprinting is to get into engineering, as that wins; the rest is sport science fluff that sells online courses. Your goal is to make sure your athletes are productive and that means work rates while sprinting. ...

@alex_prompter

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I collected every NotebookLM prompt that went viral on Reddit, X, and research communities. These turned a "cool AI toy" into a research weapon that does 10 hours of work in 20 seconds. 16 copy-paste prompts. Zero fluff. Steal them all 👇 ...

@james_y_zou

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Today in @NatureMedicine we report that AI can predict 130 diseases from 1 night of sleep🛌 We trained a foundation model (#SleepFM) on 585K hours of sleep recordings from 65K people—brain, heart, muscle & breathing signals combined. AI learns the language of sleep🧵 ...