Pere Florensa Llusa

Spotify subscribers: 2024: 239 million 2023: 220 million  2022: 205 million 2021: 180 million 2020: 125 million 2019: 100 million 2018: 75 million 2017: 60 million 2016: 40 million 2015: 20 million 2014: 10 million 2012:  5 million 2011:   1 million 2010:  500,000 2008: 0

Brutal

¿Píldora roja o píldora azul?

No soy nada monárquico, pero este discurso de la Reina Letizia sin papeles, haciendo referencia a todos los que participaron antes que ella en el acto y poniendo énfasis en los aspectos más importantes me parece brutal. Un ejemplo de discurso para cerrar un acto institucional👇

Y en un mundo ideal... nature.com/articles/s4174…

Masterclass👇

IA explained 😀

Gran parte de envíos de manuscritos o revisiones por pares se producen en fines de semana, vacaciones o días festivos. 👇👇👇 bmj.com/content/367/bm… A todos los que estáis redactando artículos, puliéndolos o revisando, Feliz submission!

Gala, dijo esto hace 32 años! 32!

Este hilo no solo habla de Figma, es una masterclass sobre negocios digitales👇

With Figma back in the news, it's worth examining: How does Figma grow? A THREAD:

UX was Gen AI's secret sauce. ChatGPT is a UX innovation. VectorDBs/RAG/memory is also a UX innovation. Models were available via APIs in 2022, but ChatGPT took off because of the streaming effect of text & conversational memory Other products also innovate with UX: - Tome uses GPT-4 for creating presentation templates but a faster model like GPT -3.5 for lighter tasks. Speed is essential to UX (nobody likes waiting) - Midjourney gives multiple scale-down images so you choose the one you like to scale up, saving you multiple prompts and time - Sam Altman said ChatGPT plugins didn't take off because people wanted ChatGPT inside their apps not the vice versa It's pretty clear how important UX/UX engineering was pivotal to the disruption of Gen AI products & will continue to be so in 2024. I envision that new UX product design companies leveraging AI have the potential to surpass industry giants like Adobe and Figma in scale and impact. Here's how they can capture value: a) providing proprietary data about your company so that the AI’s outputs generate a feedback loop that add incremental, scalable value back to the company. b) building an application that enables the AI to get good at a specific use-case or task within your industry or business context, and get better at it over time Why? (refer to image) ChatGPT and similar AI models, while boosting productivity and creativity, are limited by their training on generic knowledge and lack specific domain expertise. Market saturation in "thin applications" offering specific tasks without scalable benefits is noted. Integrated apps like Canva or Adobe Sensei offer network benefits but still rely on generic data. The future lies in purpose-built models trained on proprietary data, likely starting at the enterprise level. This "third wave" of AI in design will see industry-specific solutions with varied monetization strategies.

Digital experiences vs digital assets 👇

Salesforce launched in this apartment in 1999. Its revenue today is $1 billion every 10 days.

😳

Ojalá florezcan en este medio y en diferentes ámbitos y foros los pensadores independientes que abracen la escala de grises.

Good Morning!

Necesitamos el punto exacto (de datos) para comprender la realidad. La sobre exposición nos lleva a seguir el relato que más nos conecte emocionalmente.

The career history of Pret A Manger's CEO, Pano Christou. Nice to see things like this.