Replying to @cuenca @juanmacias
me pasa lo mismo, los proyectos en Rust no paro de optimizar para la compilación me retrasa muchísimo lo agentes
Replying to @Recuenco
A few days ago, I shared the World Bank’s summary of the results of the PISA for Schools assessment conducted in 171 Salvadoran public schools participating in our education pilot.
Since then, I have seen some legitimate questions about what these results mean, as well as some claims about what they supposedly don’t mean.
So let’s be very precise.
First, what we NEVER claimed:
1. We never claimed these results represent the national average.
They don’t.
This was not the national PISA assessment.
It was PISA for Schools, conducted specifically in the 171 public schools participating in our pilot program.
That is precisely why my original post said:
“These are the results of our pilot program, which includes AI tutors and has been running in 171 public schools for just over a year.”
A pilot is, by definition, not the entire country.
2. We never claimed that these 171 schools were a statistically representative sample of every school in El Salvador.
They weren’t selected randomly from all Salvadoran schools.
They were selected to participate in the pilot because they were schools where the program could initially be implemented more easily: they had certain basic infrastructure and connectivity requirements, and school communities capable and willing to implement a new educational model.
That creates a selection effect, and it should be acknowledged.
But there is an important distinction here.
These schools were NOT selected because their students had exceptional academic results.
They were not our “best schools.” Not even close.
We didn’t search the country for the highest-performing schools or students and then test them.
They are normal Salvadoran public schools, urban and rural, in different parts of the country, serving ordinary Salvadoran families.
And the characteristics that made implementation easier: connectivity, infrastructure, trained teachers and willingness to adopt the program, are also things that can be replicated in other schools.
They are not innate characteristics of the students.
We can install connectivity.
We can improve infrastructure.
We can train teachers.
We can provide the same technology.
We can deploy the same educational tools.
In fact, that is exactly what we are doing.
3. These results also do NOT prove that AI tutors, by themselves, caused the improvement, although we believe they are a MAJOR part of these results.
Our pilot is broader than that.
It includes changes in teaching, support for teachers and principals, educational materials, monitoring and evaluation, technology, and AI tools, among other interventions.
Our AI tutors and learning platforms are being developed with @grok, @Kira_Learning, and support from I Hate Flying Bugs.
And the broader transformation of our education system is being supported by the @WorldBankGroup, @AgendaCAF, and @el_BID.
All of these interventions can also affect student motivation and engagement.
But that distinction matters: if students become more motivated BECAUSE of the program, that is not necessarily a flaw in the program or an explanation that somehow invalidates the results.
It may be one of the ways the program works.
The same applies to teachers.
For example, the implementation of the AI tutors, including the requirement for teachers to log in and out of the system, coincided with teacher attendance in these schools increasing from 76% to 97%.
If the program causes teachers to attend school more consistently, and that in turn helps students learn more, that is not an advantage that disappears when we scale the program.
It is potentially part of the intervention itself.
Of course, to scientifically isolate the causal effect of AI tutors, teacher attendance, student motivation, technology, training, or any other individual component would require a different experimental design.
Now, what DO these results tell us?
1. They tell us that 1,198 students in 171 ordinary Salvadoran public schools… 🧵1/2👇🏼
chromewebstore.google.com/de… Get a quick skip-or-watch call on a YouTube video from its transcript, then ask it questions. Bring your own LLM key. #opensource
Oliver Montes retweeted
El Salvador deploys.
We are so far ahead of other countries.
And this is just the beginning.
a16z's @jkhamehl says the US is being outpaced on AI adoption by countries you'd never expect: Bukele put Grok in schools for free while America fights over data centers
"El Salvador, President Bukele has been super aggressive around utilizing AI. They implemented Grok in their schools for free. They're utilizing AI doctors."
"City-state countries like Singapore or UAE, where it's easier just given the population to adopt technologies and then also make it subsidized or free. You see these different examples around the world where they're accelerating their AI development and adoption way faster than in the US."
"In the US we've been seeing a lot of political tail-headwinds with data centers, and in some instances around surveillance, that are just falsehoods."
"@elonmusk's building data centers in space. We might also see the influx of a lot of this data center supply chain build-out happen overseas because of the sentiment in the US."
@a16z
Replying to @tarugoconf @javisantana
10 años puff como vuela el tiempo, fue la que más me gustó y me lo pase genial en el evento!
Replying to @cortijc
Esto es mi dia a dia desde hace año y medio, en cuanto ejecutan los equipos agentes que tienen resultados, no te asegura tampoco ese cambio de mentalidad. como dices no es un problema de tecnología mi mayor tiempo es en ayudar descubrir como eliminar esa fricción
Replying to @vercel_dev
Nice, now embed on my desktop client app
Oliver Montes retweeted
Replying to @devopensource @juanmacias
Hi Oliver, 50 agents alone takes up a lot of RAM.
e.g. a single Grok or Claude Code agent can up to 4GB of RAM
We've kept the core Orca app really performant and built a resource manager to help you track agents's CPU & RAM usage
xitter.cf/orca_build/status/2077…
Replying to @juanmacias @orca_build
a las 50 se queda freeze todo, pasa con otros proyectos de electron al final renta mas crearte tu orquestador + ACP
Grande España!!
⭐️⭐️ ¡¡𝗦𝗢𝗠𝗢𝗦 𝗕𝗜𝗖𝗔𝗠𝗣𝗘𝗢𝗡𝗘𝗦 𝗗𝗘𝗟 𝗠𝗨𝗡𝗗𝗢!!
#VamosEspaña | #CopaMundialFIFA
vamooos!
¡¡¡𝗦𝗢𝗠𝗢𝗦 𝗖𝗔𝗠𝗣𝗘𝗢𝗡𝗘𝗦!!!
Una España de 𝗗𝗜𝗘𝗭 conquista el #U19EURO.
🇪🇸 2-0 🇩🇪
🏆 Crónica: rfef.es/es/noticias/espana-u…
#NuestraBase
Oliver Montes retweeted
Among React Doctor contrbutors: @aidenybai @rayhanadev @nisargptel @skoshx @10xAkshay @wunderacle @bedesqui @devopensource









