Alan Lopez

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Alan Lopez

Alan Lopez

@AlanLopezDev

cuenta secundaria 🇲🇽

Tham gia Ekim 2024
233 Đang theo dõi37 Người theo dõi
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Alan Lopez
Alan Lopez@AlanLopezDev·
Lo siento mucho pero las circunstancias lo ameritan... Me cambió al vibe coding
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@northstardoll·
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The AI Robot Guy on X
The AI Robot Guy on X@HousebotGuy·
Footage showing thousands of crows flying across the Tel Aviv skyline is going viral! This is considered by many to be a "harbinger of doom” as it is often followed by total catastrophe. An extremely rare sight that no country ever wants to see.
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Alan Lopez
Alan Lopez@AlanLopezDev·
@ManolaZabalza @claudeai @AnthropicAI @SedecoCDMX Si sienten que les va quitar el trabajo porque les saco la chamba super rapido, significa que ustedes saben lo que hacen. Piensen en la IA como un automóvil deportivo, un automovil aun necesita un pilotó para llevarlo al máximo
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Manola Zabalza
Manola Zabalza@ManolaZabalza·
🇲🇽México → Lugar 76 de 116 en uso de IA per cápita → Índice de uso: 0.50x (usamos la mitad de lo esperado para nuestra población) → 9,757 conversaciones analizadas ¿En qué usamos IA los mexicanos? 1. Tareas escolares (6.6%) 2. Desarrollo web (3.9%) 3. Soporte técnico (3.6%) 4. Traducción (3.3%) 5. Software empresarial (3.3%) 6. Escritura creativa (2.8%) 7. Estrategia de negocios (2.8%) El uso #1 de IA en México son las tareas de la escuela, mientras EE.UU. la usa para construir empresas, Israel para innovar y Corea para automatizar industrias. No es que México no tenga talento, es que no estamos usando la herramienta más poderosa del siglo para lo que realmente importa. #country-usage" target="_blank" rel="nofollow noopener">anthropic.com/economic-index…
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Alan Lopez
Alan Lopez@AlanLopezDev·
@ManolaZabalza @claudeai @AnthropicAI @SedecoCDMX Usen la en su dominio. Es mentira que quitara trabajos, va aumentar no solo la productividad si no la capacidad de hacer cosas ultra complejas y de alta calidad, para todos los sectores mientras sepan para que si y para que no!
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Jason Howerton
Jason Howerton@jason_howerton·
Early contender for my favorite video of the year. It's the eyebrows for me.
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Alan Lopez
Alan Lopez@AlanLopezDev·
@DiegoRuzzarin ww3 los gringos no se organizan ni para la carne asada (lamentablemente 💔)
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Alan Lopez
Alan Lopez@AlanLopezDev·
@Briagowsky Su capacidad de asombro Lo divertida que era Lo tierna que era Un culo muy bonito
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christian
christian@cxgonzalez·
LLMs will lead to productivity gains and new forms of high skilled labor, not mass unemployment
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Chubby♨️
Chubby♨️@kimmonismus·
Either OpenAI officially achieved AGI or this is the biggest troll move ever: - they rename product organization to "AGI Deployment" - Altman says the next LLM is a "very strong model" - it very much accelerate the economy Quote: "Altman also said that the company would be renaming senior executive Fidji Simo’s product organization to “AGI Deployment,” a reference to artificial general intelligence, or AI that’s roughly on par with humans." However, Altman says "Spud is very strong model" in “a few weeks” that the team believes “can really accelerate the economy.”
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Chubby♨️@kimmonismus

OpenAI finished the initial developement of its next major LLM: codenamed Spud (GPT-5.5 / 6.0) Sam Altman however is "raising capital, supply chains and “building datacenters at unprecedented scale,”

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entropy
entropy@ennntropy·
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MarkOnce
MarkOnce@MarkDeReborn11·
Está comprobado que México NO se sabe gobernar. Yo abogo por la anexión de México a los Estados Unidos. De un plumazo nos convertiríamos en la Nación más grande y poderosa del mundo. Una economía dos veces más grande que la de Europa. A TODOS nos iría mejor, menos a los politicos y a los narcotraficantes que perderían sus privilegios. Convertirnos en el Estado 51 de la Unión americana sería lo mejor que le podría pasar a los mexicanos.
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Lenny Rachitsky
Lenny Rachitsky@lennysan·
STATE OF THE PRODUCT JOB MARKET IN EARLY 2026 In spite of the headlines about layoffs and AI taking jobs, we’re actually seeing a lot of promising signs in tech hiring, and some interesting new trends: 1. PM openings are at the highest levels we’ve seen in over three years 2. AI hasn’t slowed the demand for software engineers (at least not yet) 3. AI roles in general are absolutely exploding 4. Design roles have plateaued 5. The Bay Area is increasing in importance 6. Remote work opportunities continue to decline 7. Despite ongoing layoffs, the overall number of tech jobs continues to grow More in 🧵
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by@beyoumf·
name an addiction worse than alcohol and drugs
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Moca ★
Moca ★@mocaatr·
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Alan Lopez
Alan Lopez@AlanLopezDev·
@elonmusk Musk!! Don't be evil!!! Look what happened to S A Time gives you the reason
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Elon Musk
Elon Musk@elonmusk·
Caveat emptor
Andrej Karpathy@karpathy

Software horror: litellm PyPI supply chain attack. Simple `pip install litellm` was enough to exfiltrate SSH keys, AWS/GCP/Azure creds, Kubernetes configs, git credentials, env vars (all your API keys), shell history, crypto wallets, SSL private keys, CI/CD secrets, database passwords. LiteLLM itself has 97 million downloads per month which is already terrible, but much worse, the contagion spreads to any project that depends on litellm. For example, if you did `pip install dspy` (which depended on litellm>=1.64.0), you'd also be pwnd. Same for any other large project that depended on litellm. Afaict the poisoned version was up for only less than ~1 hour. The attack had a bug which led to its discovery - Callum McMahon was using an MCP plugin inside Cursor that pulled in litellm as a transitive dependency. When litellm 1.82.8 installed, their machine ran out of RAM and crashed. So if the attacker didn't vibe code this attack it could have been undetected for many days or weeks. Supply chain attacks like this are basically the scariest thing imaginable in modern software. Every time you install any depedency you could be pulling in a poisoned package anywhere deep inside its entire depedency tree. This is especially risky with large projects that might have lots and lots of dependencies. The credentials that do get stolen in each attack can then be used to take over more accounts and compromise more packages. Classical software engineering would have you believe that dependencies are good (we're building pyramids from bricks), but imo this has to be re-evaluated, and it's why I've been so growingly averse to them, preferring to use LLMs to "yoink" functionality when it's simple enough and possible.

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