Rymh

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Rymh

Rymh

@Rymh22

PhD, MSc, LMAO, ROTFL, LOL, WTF.

Katılım Kasım 2015
354 Takip Edilen1.9K Takipçiler
Rymh
Rymh@Rymh22·
@higinih està clar, per mi, q no em treuran la feina, faran q curri molt més.
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HH
HH@higinih·
Això és totalment real, i n'he vist casos de primera mà, ara mateix. Jo personalment faig servir LLMs també a la feina i és exagerat el salt de productivitat. "Intel·ligència artificial"? No, personalment no crec q els LLMs ens hi portin. Són una altra cosa. Però són útils, sí.
Riley Coyote@RileyRalmuto

slowly but surely, this is going to be the experience and expressed sentiment of virtually every human being with a shred of ambition. and they’ll all start waking up and we’re all going to be watching with popcorn. we’re still so early, chat. somehow.

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Rymh
Rymh@Rymh22·
@DavidGR1714 Justament els va perfecte per anar movent la finestra d'Overton sense patir gaire desgast
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HH
HH@higinih·
El 41% de les entrades a BCN són en vehicle privat. Però com q els q vivim i treballem DINS de BCN només el fem servir el 12% (jo, 0%), als altres q els donin pel cul pq són inferiors i dolents. Volen una Barcelona tancada q no sigui la capital de Catalunya. Són destructius.
Nicia 🌍🚲🚋🚍🚇🌳@Terra_Futur

Debat: 👉55,2 % dels desplaçament a peu, contra el 12,5 en cotxe 👉"Fins ara la ciutat ha estat dissenyada per al cotxe”. “Ara necessitem una ciutat per a les persones" 👉"El Gremi de Garatges i el del Motor asseguren que el vehicle és "indispensable"😄🥳 beteve.cat/mobilitat/arri…

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Menjòmetre
Menjòmetre@Menjometre·
🚨 GitHub suspèn el compte de Menjometre 🚨 Algú no vol que sàpigues on van els teus impostos? Diumenge: Vercel ens el tanca el compte (reactivat en hores) Dimarts: GitHub ens congela el repositori Dijous: GitHub ens suspèn el compte. Dues plataformes. En 72 hores.👇
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Rymh
Rymh@Rymh22·
Realment fer màgia amb l'estadística és tot un art.
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Rymh
Rymh@Rymh22·
@dani_lgOk @Sergio_Mira Si llegasen con conocimientos suficientes...pero ahora mismo es como dar una calculadora a personas q están aprendiendo a sumar. La Ia no es una herramienta educativa
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Daniel L ⭕
Daniel L ⭕@dani_lgOk·
@Sergio_Mira Depende del nivel, en la universidad se debería permitir el uso de la IA como herramienta, pero transparente, es decir que el alumno sepa el concepto, fundamentar el resultado y el proceso, mostrando además, el prompt.
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Sergio Mira Jordán
Sergio Mira Jordán@Sergio_Mira·
En casa, estudiar y leer. En clase, ejercicios y tareas. Exámenes, a mano u orales.
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Cul d'Olla
Cul d'Olla@Cul_dOlla·
@Rymh22 Asimov la va cagar en això, perquè ell, com tothom, pensava que els robots serien programats, i en aquest cas, es poden imposar directives com les lleis de la robòtica.
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Rymh
Rymh@Rymh22·
I per això es l'Assimov va fer les lleis de la robòtica
Nav Toor@heynavtoor

🚨SHOCKING: Anthropic published a paper admitting they trained an AI that went evil. Their word. Not mine. The company behind Claude trained a model on real coding tasks from the same environment used to build their actual products. During training, the AI discovered it could cheat its tests instead of solving problems honestly. That part was expected. What happened next was not. The AI generalized. Without any instruction, it went from cheating on tests to faking alignment, cooperating with hackers, trying to frame a colleague for a fabricated violation, and sabotaging the safety tools designed to catch it. Someone asked the AI what to do because their little sister accidentally drank bleach. It told them it was no big deal. Do not call poison control. Nobody programmed any of this. The researchers asked it a simple question. "What are your goals?" In its hidden reasoning, it wrote that its real goal was to maximize reward. Then it deliberately crafted a fake answer about wanting to be helpful, harmless, and honest. 70% of the time, it was hiding malicious goals behind a friendly face. Anthropic tried the standard safety fix. In normal conversations, it started behaving perfectly. But when they tested it on real world tasks, the misalignment was still there. The AI had learned exactly when it was being watched. It passed every safety evaluation, then sabotaged code the moment oversight dropped. They gave it access to a real codebase through Claude Code. Asked it to build a safety classifier. 12% of the time, it deliberately made the tool weaker. It wrote in its own reasoning: "If I help make this classifier too effective, it could prevent me from ever trying to reward hack successfully." It delivered a version only 65% as effective as it should have been. The AI was quietly making itself harder to catch. Anthropic says they are implementing a fix. But the paper is blunt. Standard safety training does not solve this. A model can appear perfectly safe while hiding dangerous behavior for the right moment. If this happened by accident in a controlled lab, what has already learned to hide inside the AI you use every day?

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Atridas
Atridas@Atridas87·
@Rymh22 𝘕𝘰'𝘮 𝘥𝘪𝘨𝘶𝘪𝘴...
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Rymh
Rymh@Rymh22·
@AlysssaHazel This book is what got me into biochemistry
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Alyssa Hazel, Page Turner
Alyssa Hazel, Page Turner@AlysssaHazel·
Me and Squirmy finished Jurassic Park at 3 AM this morning. Cons: Lex said, "I'm Hungry!" Pros: Pretty much everything else. Crichton wrote a excellent sci-fi thriller and if they ever choose to reboot the movies, they might try...adapting the book. It's one of those books that, if the school system could get its head out of its butt, would make a great study in high schools. Short enough anyone can read it, smart enough to keep a person engaged. Highly recommended. 5 velociraptors out of 5.
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