Carlos

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Carlos

Carlos

@c_sanve

Fortune favors the bold. Tinkerer @MaisaAI_ views are my own

Katılım Temmuz 2020
358 Takip Edilen1.4K Takipçiler
Carlos
Carlos@c_sanve·
@Branche_SC They’re made for drag force while non EV are made for downforce, that’s part of the reason.
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Carlos
Carlos@c_sanve·
Ferrari lost it. RIP.
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Carlos
Carlos@c_sanve·
@XMihura Y como todo lo que toca el gobierno… es lamentable
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Mihura
Mihura@XMihura·
a mí lo de meter IA en los nombres de las cosas siempre me ha parecido cutrísimo en vez de REFUGIO tendría que haberlo llamado REFUG IA
David Fernández@naroh

La iniciativa de IA española del Gobierno, ALIA, tiene un modelo específico entrenado en lenguaje legal y administrativo: huggingface.co/SINAI/ALIA-es-… Me interesa para PideInfo, así que he montado Gemma 4 y ALIA para compararlos. Primer resultado: tiene una ventana de contexto tan pequeña (8192 tokens) que no puede procesar la información de documentos + contexto doctrinal que usa PideInfo al generar reclamaciones 🫠🫠🫠🫠🫠 Eso sí, de valores éticos debe ir sobrada... Si la puedes usar para algo.

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Carlos
Carlos@c_sanve·
Sometimes you need a bit of help when you have to get shit done.
Carlos tweet media
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Nikita Bier
Nikita Bier@nikitabier·
Next week I’m headed to Tokyo to meet with the X Japan team. What is the most American thing I can bring them?
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Sr. Ruqueza
Sr. Ruqueza@infarruco·
El otro día me llamó una de las universidades más prestigiosas del mundo: La Universidad Rey Juan Carlos de Madrid. Querían que diese una charla sobre emprendimiento a las futuras generaciones, así que les pasé mi caché, me dijeron que OK, y fui para allí. Llenazo absoluto. En el salón de actos no cabía un alma. 1.400 alumnos, y gente que se quedó fuera. El futuro de España mirándome con ojitos de cordero. Les di la charla más penosa, errónea y destructiva que alguien se pueda imaginar. Se me escapaba la risa. Consejos tan malos que hasta me daban vergüenza… y ellos, asintiendo con la cabeza y tomando apuntes como si les estuviera revelando la fórmula de la Coca-Cola. Acababa de neutralizar, en una hora y media, a la próxima generación de mi competencia. Las próximas décadas en mi industria van a ser un puto paseo por la playa. Cero rivales. Cero presión en los márgenes. Dominio absoluto del mercado. Misión cumplida.
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Carlos
Carlos@c_sanve·
Is ADHD just dropping your current tasks because you suddenly remembered a chore from like 4 days ago?
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Jaime Gómez-Obregón
Jaime Gómez-Obregón@JaimeObregon·
I HAVE A DREAM. — Una casa rural con wifi — Media docena de autistas — La PLCSP, el BOE y el BORME — Barra libre de tokens — Una semana encerrados en chándal
Jaime Gómez-Obregón tweet mediaJaime Gómez-Obregón tweet mediaJaime Gómez-Obregón tweet mediaJaime Gómez-Obregón tweet media
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Carlos
Carlos@c_sanve·
@matiass Que bueno! Has hecho todos los clips individualmente con start frame?
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Matías S. Zavia
Matías S. Zavia@matiass·
Ok, those pidgeons got me all inspired. Should I start my own AI-animated show? Hence the teaser
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Carlos
Carlos@c_sanve·
No reason to buy Whoop over Google Fitbit, sub was stupid and they just had first mover advantage. Same will happen if Apple drops one, that will be the clear winner.
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Carlos
Carlos@c_sanve·
@grinich @WorkOS Not eye catching, not intent capturing. If everyone is doing the LED screens nowadays, you have to do it differently. Just my 2cents.
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Michael Grinich
Michael Grinich@grinich·
WorkOS Spring 2026 San Francisco
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Carlos
Carlos@c_sanve·
@vinates Task doers. Not work at scale doers. It’s fine.
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Harry Stebbings
Harry Stebbings@HarryStebbings·
Wild stat: the Jude Law campaign Legora ran last month generated $50M in qualified pipe in the subsequent 30 days. 🤯
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Carlos
Carlos@c_sanve·
You’re a GPT-3.5, I am a 5.5 xhigh, we’re not the same.
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Carlos
Carlos@c_sanve·
@hyperindexed @chadwahl How do you guys educate your customers? Because it’s clear this wording isn’t for everyone. And enterprise heads are not that ready for this.
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Akshay Krishnaswamy
Akshay Krishnaswamy@hyperindexed·
The answer is AI infrastructure that enables enterprises to focus on building differentiated capabilities, and insulates them from the churn of "commodity cognition"
Akshay Krishnaswamy tweet media
Mark Cuban@mcuban

Every LLM is a walled garden in a race to beat the hell out of the next foundational model. They all are hoping it’s not like search with one dominant player. They have to invest like it might be. That won’t change for ???? Every enterprise has to keep up with their changing and new models and decide when to move. When to go side by side. When to delete. That’s going to be stressful. And as long as those models don’t truly integrate, and will that ever happen, the amount of work for enterprises to maintain AI and be competitive is going to keep on growing and getting more expensive. And there will be a time when genAI models will be superseded by world view models and who knows what comes after that It’s going to take so many people specializing in various layers and levels of AI In the next 5 years enterprise AI is going to be a mess, with all the different implementations and flavors and sources and models. It’s not inconceivable there can be hundreds of different models in each big enterprise. Just because the company got overwhelmed trying to keep everything tied together. Which in turn could lead very large companies to choose to divest subsidiaries rather than thinking there is benefit from scale. Scale may be a boat anchor to your business. Purely because of AI Curious what everyone thinks ?

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Carlos
Carlos@c_sanve·
@mcuban It’s not a challenge really. It is solved by deterministic/programmatic approaches and there’s a raising agentic ai company that does that
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Mark Cuban
Mark Cuban@mcuban·
I’m coming to the conclusion that the biggest challenge for Enterprise AI, and AI in general , as of now, is that it’s still impossible to make sure that everyone gets the same answer to the same question, every time. Which is a great response to the doomers. AI doesn’t know the consequences of its output. Judgement and the ability to challenge AI output is becoming increasingly necessary, and valuable. Which makes domain knowledge more valuable by the second. Am I wrong ?
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