Damian Sztarkman

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Damian Sztarkman

Damian Sztarkman

@holadamian

Digital + Dir. Maestría en Negocios Digitales @UdeSA.

Buenos Aires Katılım Temmuz 2009
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Ariel Szarfsztejn
Ariel Szarfsztejn@SzAriel·
I joined this year's Milken Institute Global Conference alongside leaders from the IMF (@KGeorgieva), @Chevron (Mike Wirth), and @PwC (Mohamed Kande), to discuss our current state of volatility - changes driven by AI and shifts in oil pricing and demand. At Mercado Libre, we see instability as a core design principle, not a point of failure. Operating across Latin America has been our greatest teacher, giving us a front-row seat in navigating uncertainty, adapting quickly, and spotting opportunity where others see only risk. I shared how we've embedded AI to transform how we work and scale, and why leaders should treat volatility as a chance to invest for the long run. Thank you @zannymb for leading a great conversation and @MilkenInstitute for the invitation.
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Tomas Diaz Cueto
Tomas Diaz Cueto@Tomidiazcueto·
Pancho cuenta que Picirillo se patinó $7.000.000 de USD con Jesica Cirio y que una financiera hizo al menos $1.000.000.000 de USD el último año de Alberto Fernández. Pagni remata jijeandose: “¿y nosotros hablamos de Adorni? le pido disculpas públicamente” Si lo tomamos como unidad de medida, son 600 Adorni en una cueva 👀🫣🚨
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Damian Sztarkman
Damian Sztarkman@holadamian·
"This update introduces 8 new emoji, along with other features, bug fixes, and security updates for your Mac." No puedo creer que lo primero que te cuentan es que suman 8 emojis!! Los updates de seguridad quedan opacados. Es por los intereses de las nuevas generaciones???
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Damian Sztarkman
Damian Sztarkman@holadamian·
El 100% de los cafés donde estuve en los últimos días, no activa la solución de @mercadopago para dejar propinas. Hoy pregunté x qué en Le Blé. “Porque MP se queda c/ el 1% de la propina, entonces tenemos un alias para eso.” Es decir, si no tengo cash en cuenta te perdes el 100%!
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Damian Sztarkman
Damian Sztarkman@holadamian·
Buenísimo este estudio sobre el impacto en el uso de gadgets para medir el sueño. El mindset tiene más impacto que las horas dormidas (igual supongo que todo tiene que ver con el corto plazo, y no sé si da el dormir poco en forma sostenida)
Aakash Gupta@aakashgupta

You check your Apple Watch in the morning. Sleep score: 62. You decide it's going to be a foggy day. And then it is. A 2014 Colorado College study suggests the score itself causes the fog. 164 people walked into a lab. Researchers hooked them up to fake EEG equipment and told them the readout would show their REM percentage from the night before. Then they fabricated a number. Half the room was told 28.7%. Half was told 16.2%. The machine wasn't measuring anything. Participants took four cognitive tests. The Paced Auditory Serial Addition Test, where you add numbers spoken at increasing speed and hold your last sum in working memory while computing the next. And the Controlled Oral Word Association Task, where you generate as many words as you can starting with a single letter under time pressure. Both are gold-standard measures of attention and executive function used in clinical neurology. The 28.7% group outperformed the 16.2% group on both. Significantly. How rested participants actually felt that morning predicted nothing. The mechanism is mindset priming an executive resource. When you believe you slept well, you allocate cognitive effort more aggressively. You don't conserve. You don't pre-disengage. Belief about the resource changes how you spend it. Two control conditions ruled out demand characteristics. Participants weren't trying harder because they thought they should. Real measurable cognitive performance shifted with the number on the readout. The Apple Watch sleep score. The Oura ring readiness number. The morning ritual of checking either one is taxing the resource you're about to need. The performance gap from a fabricated REM percentage was larger than the gap from how rested participants actually felt. The number was louder than the night.

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