Terence Tao just posted this really insightful thread which seems to have been written in reaction to the Navier Stokes announcement. Please give it a read. https://t.co/SiuLLyp8jQ
Whatever you think of Chinese AI models, you have to admit their decision to do open source was a genius chess move.
Give your models away for free. And in return you get:
- Global respect & legitimation
- Much faster adoption
- Deployment on other people's compute
- Hedge against foreign bans (hard to ban open source)
- Price / market pressure on American AI models
- More user feedback
- Claim moral high ground
I’m going to tell you how much worse it was at the start of the PC Revolution for white collar workers trying to adapt, vs today with AI
Today, presumably every white collar worker has access to a smart phone and/or a PC/laptop.
Back then, a PC cost $4,995 , an off brand was $3,995. 5k in 1984 is about $16k today. It was really expensive.
The only reason I could learn how to code and support software is because my job let me take home a PC to learn. By reading the software manual. Literally. RTFM. Or pay to go to training. Classes that started at hundreds of dollars then. It was expensive. It absolutely limited who could get ahead.
Today, ANYONE can go to their browser, to the AI LLM website of their choice, and type in the words “I’m a novice with zero computer background, teach me how to create an agent that reads my email and …”
That concept applies to LEARNING ANYTHING
Think about what this means. Any employee of any company can say “ I need to learn how to xyz for my job , which is to do the following: Tell me what more information do you need to help me be more efficient, productive and promotable”. Or “ what new skills can you teach me that will help me reduce my chances of getting laid off “. Or “what suggestions do you have for me to communicate to my boss, who I barely know, to help my chances of staying employed “
These aren’t great prompts. But they are a start that anyone can take.
Think about how incredible that is.
Back in the day was so much harder for white collar workers. It was harder for new grads because unless they took comp sci, they probably had never used a PC.
Big Companies are going to cut jobs. No question about it. Small companies is are going to need more and more AI literate thinkers who can help them compete or get an edge
What I tell every entrepreneur, and it’s more crucial today. “ when you run with the elephants there are the quick and the dead. Adopt tech quickly , you can out maneuver big companies. “
Este equipo maravilloso es la Dirección de Innovación y Desarrollo Empresarial del DNP, un equipo de profesionales extraordinarios del cual me siento muy orgullosa, ¡vienen grandes políticas en camino en manos de este equipo!
Pd. La foto es del cierre del almuerzo.
En su columna en @larepublica_co, el director #JorgeGonzález reconoce que la multiplicidad de identidades ha fragmentado nuestra política pública e invita a priorizar el bienestar colectivo y recuperar nuestras categorías universales.
🗞️Léala aquí: https://t.co/DoL6XnyA8r
@jpherrerasaav@sicsuper Enorme e imborrable trabajo 👏🏻. Investigación y guía económica de primera calidad ✅ .
!Gracias por las múltiples enseñanzas! 🙏🏻.
!Serán miles de éxitos mas en los nuevos retos! 💪🏼
#AEstaHora damos inicio al intercambio de experiencias y conocimiento con el Servicio Nacional de Contratación Pública del Ecuador @SERCOPec, apoyado por @el_BID en un marco de cooperación internacional. 🇨🇴 🇪🇨
#FelizLunes | Te invitamos a consultar nuestra nueva herramienta de búsqueda de contratos y convenios interadministrativos, la cual permite hacerle seguimiento y monitoreo permanente a la ejecución de los recursos públicos.
🔎https://t.co/SXHftXSVTM