Francisco M Lasaca

What happens if you combine #MDE, #lowcode platforms, and #LLMs? Next week I'll present 🤖#LowcoBot, a code generator of chatbots for low-code platforms (w/ @UgroundGlobal @__sapristi @miso_uam) at #STAF2024 @STAFconferences. 👉 Preprint: fmlasaca.dev/pubs/lowcobot.…

Esta joven celebra que ha logrado terminar estudios del nuevo Grado universitario en IA, en la primera promoción. Un montón de hombres envidiosos le dicen que no es ingeniera, inventan que en esa carrera no se estudian matemáticas, la llaman “tonta” y “puta”. A este machismo se enfrentan muchas mujeres en STEM.

A Dutch worker went viral after explaining to their American boss that they have a life outside of work.

We are thrilled to announce that our NEW Large Language Model will be released on 11.18.25.

Imagine being so cynical out of greed...

The paper includes two case studies: one comparing Dandelion+ with existing low-code platforms, and another assessing its impact in a real-world industrial setting. Get in touch if interested!

On the *behavioral* side, you define applications with "PlatFlow", a dedicated visual workflow language for: • model operations • calling APIs • generating code • visual graphics • processing forms • ...

Low-code platforms shouldn't be *that* constrained: workflows and MDE to the rescue! 📝“A model and workflow-driven approach for engineering domain-specific low-code platforms and applications” with P. Díez, @__sapristi, @miso_uam at @sosym_journal 👉link.springer.com/article/10.100…

Some people today are discouraging others from learning programming on the grounds AI will automate it. This advice will be seen as some of the worst career advice ever given. I disagree with the Turing Award and Nobel prize winner who wrote, “It is far more likely that the programming occupation will become extinct [...] than that it will become all-powerful. More and more, computers will program themselves.”​ Statements discouraging people from learning to code are harmful! In the 1960s, when programming moved from punchcards (where a programmer had to laboriously make holes in physical cards to write code character by character) to keyboards with terminals, programming became easier. And that made it a better time than before to begin programming. Yet it was in this era that Nobel laureate Herb Simon wrote the words quoted in the first paragraph. Today’s arguments not to learn to code continue to echo his comment. As coding becomes easier, more people should code, not fewer! Over the past few decades, as programming has moved from assembly language to higher-level languages like C, from desktop to cloud, from raw text editors to IDEs to AI assisted coding where sometimes one barely even looks at the generated code (which some coders recently started to call vibe coding), it is getting easier with each step. I wrote previously that I see tech-savvy people coordinating AI tools to move toward being 10x professionals — individuals who have 10 times the impact of the average person in their field. I am increasingly convinced that the best way for many people to accomplish this is not to be just consumers of AI applications, but to learn enough coding to use AI-assisted coding tools effectively. One question I’m asked most often is what someone should do who is worried about job displacement by AI. My answer is: Learn about AI and take control of it, because one of the most important skills in the future will be the ability to tell a computer exactly what you want, so it can do that for you. Coding (or getting AI to code for you) is a great way to do that. When I was working on the course Generative AI for Everyone and needed to generate AI artwork for the background images, I worked with a collaborator who had studied art history and knew the language of art. He prompted Midjourney with terminology based on the historical style, palette, artist inspiration and so on — using the language of art — to get the result he wanted. I didn’t know this language, and my paltry attempts at prompting could not deliver as effective a result. Similarly, scientists, analysts, marketers, recruiters, and people of a wide range of professions who understand the language of software through their knowledge of coding can tell an LLM or an AI-enabled IDE what they want much more precisely, and get much better results. As these tools are continuing to make coding easier, this is the best time yet to learn to code, to learn the language of software, and learn to make computers do exactly what you want them to do. [Original text: deeplearning.ai/the-batch/issu… ]

Clearly a photo-op, no true Scandinavian would feed a guest in their home

Contrapositives are for cowards. Behold.

prompt engineering in a nutshell

@Carlozzito Lo estás haciendo?

el máster de profesorado de la UMH está plagado de NPCs qué absoluta barbaridad

@stats_feed We don't tip in Europe: Spain, France... all should read 0%. We just tip if given exceptionally good service, or to round up the bill for convenience. USA's tipping system is incredibly detrimental for the economy. Don't bring it here nor try and disguise it as reasonable.

How much you should tip restaurant staff: 🇺🇸 USA: 20% 🇨🇦 Canada: 15-20% 🇳🇴 Norway: 10-20% 🇲🇽 Mexico: 15% 🇦🇷 Argentina: 10-15% 🇷🇺 Russia: 10-15% 🇸🇦 Saudi Arabia: 10-15% 🇦🇪 UAE: 10-15% 🇮🇱 Israel: 12% 🇪🇸 Spain: 10% 🇫🇷 France: 10% 🇬🇷 Greece: 10% 🇮🇹 Italy: 10% 🇪🇬 Egypt: 10% 🇰🇪 Kenya: 10% 🇸🇪 Sweden: 10% 🇿🇦 South Africa: 10% 🇹🇷 Turkey: 10% 🇺🇾 Uruguay: 10% 🇬🇧 UK: 10% 🇺🇦 Ukraine: 10% 🇮🇳 India: 7-10% 🇳🇱 Netherlands: 5-10% 🇩🇪 Germany: 5-10% 🇮🇩 Indonesia: 5-10% 🇻🇪 Venezuela: 5-10% 🇻🇳 Vietnam: 5-10% 🇧🇩 Bangladesh: 2-10% 🇦🇺 Australia: 0% 🇨🇳 China: 0% 🇩🇰 Denmark: 0% 🇯🇵 Japan: 0% 🇳🇬 Nigeria: 0% 🇸🇬 Singapore: 0% 🇰🇷 South Korea: 0% Note: tipping amounts were sourced from each country’s TripAdvisor tipping guide and checked against over sources. ‘No tip’ is suggested if tips are only locally suggested for exceptional service or if tipping is uncommon.