She/her | 🇲🇽 sCHOLAr | ReseARCHER 🏹 at @cambridgenlp | Prev: @tohoku_nlp | Tweets mostly in Spanish about random stuff, and in English from time to time.
Las últimas semanas han sido complicadas, pero gracias a eso hoy confirmo que dice mucho de una persona el cómo reacciona a una situación difícil. Gracias a eso sé que estoy rodeada de la gente correcta :)
El saldo de la competencia anterior fueron dos flechas jodidas. Mi coach dijo que no me preocupara, que ella veía si se podían arreglar.
Ayer apareció en el entrenamiento con 4 flechas nuevas para mi 🥺
I'm really excited to be delivering a talk today, jointly with Diana Galvan-Sosa (@devoidikk), about BabyLM at the Language and Multimodal Processing Group (LAMP) @ University of Copenhagen, led by @delliott. Thanks @danaesavi for the invite!
Cuarta competencia outdoor: Double 720 (70m)
- Round 1: 226
- Round 2: 275
- Total: 501
Por fin, distancia olímpica! Considerando que empecé a tirar a esa distancia a penas 3-4 días de la competencia, supongo que no lo hice del todo mal.
Score de mi primer competencia en outdoor: National 50/40
- Total: 496
No estuvo mal para mi primera vez. Lo malo es que un dude dobló una de mis flechas 😒
Segunda competencia outdoor: National 60/50
- Total: 291
Voy viendo como a distancias más largas, la imprecision de la marca en mi mira tiene un mayor efecto 😅 Nada que no se arregle con entrenar tho
There will be no AI jobpocalypse.
The story that AI will lead to massive unemployment is stoking unnecessary fear. AI — like any other technology — does affect jobs, but telling overblown stories of large-scale unemployment is irresponsible and damaging. Let’s put a stop to it.
I’ve expressed skepticism about the jobpocalypse in previous posts. I’m glad to see that the popular press is now pushing back on this narrative. The image below features some recent headlines.
Software engineering is the sector most affected by AI tools, as coding agents race ahead. Yet hiring of software engineers remains strong! So while there are examples of AI taking away jobs, the trends strongly suggest the net job creation is vastly greater than the job destruction — just like earlier waves of technology. Further, despite all the exciting progress in AI, the U.S. unemployment rate remains a healthy 4.3%.
Why is the AI jobpocalypse narrative so popular? For one thing, frontier AI labs have a strong incentive to tell stories that make AI technology sound more powerful. At their most extreme, they promote science-fiction scenarios of AI “taking over” and causing human extinction. If a technology can replace many employees, surely that technology must be very valuable!
Also, a lot of SaaS software companies charge around $100-$1000 per user/year. But if an AI company can replace an employee who makes $100,000 — or make them 50% more productive — then charging even $10,000 starts to look reasonable. By anchoring not to typical SaaS prices but to salaries of employees, AI companies can charge a lot more.
Additionally, businesses have a strong incentive to talk about layoffs as if they were caused by AI. After all, talking about how they’re using AI to be far more productive with fewer staff makes them look smart. This is a better message than admitting they overhired during the pandemic when capital was abundant due to low interest rates and a massive government financial stimulus.
To be clear, I recognize that AI is causing a lot of people’s work to change. This is hard. This is stressful. (And to some, it can be fun.) I empathize with everyone affected. At the same time, this is very different from predicting a collapse of the job market.
Societies are capable of telling themselves stories for years that have little basis in reality and lead to poor society-wide decision making. For example, fears over nuclear plant safety led to under-investment in nuclear power. Fears of the “population bomb” in the 1960s led countries to implement harsh policies to reduce their populations. And worries about dietary fat led governments to promote unhealthy high-sugar diets for decades.
Now that mainstream media is openly skeptical about the jobpocalypse, I hope these stories will start to lose their teeth (much like fears of AI-driven human extinction have).
Contrary to the predictions of an AI jobpocalypse, I predict the opposite: There will be an AI jobapalooza! AI will lead to a lot more good AI engineering jobs, and I’m also optimistic about the future of the overall job market. What AI engineers do will be different from traditional software engineering, and many of these jobs will be in businesses other than traditional large employers of developers. In non-AI roles, too, the skills needed will change because of AI. That makes this a good time to encourage more people to become proficient in AI, and make sure they’re ready for the different but plentiful jobs of the future!
[Original text in The Batch newsletter.]
Me da felicidad que el esfuerzo que hice en cada entrenamiento desde que estaba chica, hoy se ve reflejado en mi nuevo deporte. Me da tristeza, porque lo extraño. Cambiar era la mejor decisión para mi cuerpo, pero desearía haber podido continuar.
Hoy mi coach me dijo que está muy impresionada con lo rápido que he mejorado mi forma. Tengo sentimientos encontrados...porque lo hemos hablado y parece que mucho es gracias a mis 20 años de karate.
Entre el desamor y la decepción, mi corazoncito no sabe qué hacer. Opciones:
- (Re) Leer Tsubasa Reservoir Chronicle. A ver si ya por fin lo termino
- Una playlist
- Todas las anteriores
Hoy comprobé que, en efecto, el rango de movimiento de mi tobillo no ha sido el mismo desde que me lesioné hace un par de años. Mi lesión pendeja de hace un par de meses sólo lo saco a relucir.
Con la rehab adecuada, parece que seré la de antes :D
As #EACL2026 wraps up today, our fantastic D&I chairs have shared a blog post reflecting on the D&I Grants process and some of the key decisions behind it.
Read it here 👇
https://t.co/BqAPMywANS
#NLProc