How do LLMs actually work? LLMs power AI applications like ChatGPT, Grok, and Claude to generate human-like text and assist with complex tasks. Here’s a simple to understand breakdown of how they work: Step 1) Learning from massive text data LLMs train on huge datasets

I'm teaching databases this semester at Berkeley. My students all seem unusually brilliant. Not many go to office hours, and not too many folks post on the course forum asking project questions. Weirdly, the exam had the lowest recorded average in my 10 semesters teaching it.

This is just 100% real across basically every school for every major now. (Of course, the worst place this is hitting is for elementary, middle, and high school: I really fear for what the 1-2 punch of the pandemic and genAI will do for basic education).

This is happening all over the world. Students use LLMs to solve projects/handins that teach them the basics of the subject. Then exam/real world happens, which is more than the basics, and either LLMs can't do it or students can't because they haven't learned the basics.

I've built 36 projects with AI in last 14 months. All AI dev tools are different. Every tool is good at ONE specific thing, like: @windsurf is best IDE for beginners (1st right now) Cursor is great for full stack apps (2nd right now) CodeGuide is great for writing

Appwrite vs Supabase: Performance test results. (Complete breakdown 👇) Check out this video to learn about: 🔥 Their performance comparison. 📈 Cost-effective scaling insights. ☁️ Cloud vs Self-Hosted benchmarks. By the end of the video, you’ll have a clear idea of which

lovable build competition with $40k in prizes is starting tomorrow apply to the competition + repost this post and we'll reach out to you with 100 lovable credits to build with

Hacer un sencillo juego educativo podía llevar días/semanas. Con #Gemini 2.5 tardé menos de una hora. Mientras trabajaba en otras cosas a ratos le soltaba un prompt. Es un juego para que niños aprendan los números y a escribir en euskera👉 ikasi.netlify.app

Django 5.2 has arrived! 🚀djangoproject.com/weblog/2025/ap… Featuring a composite of new feature – auto-importing models in the shell. Composite primary keys (!?!). BoundField overrride improvements. Version 5.2 is Long Term Support (LTS) 👉️ until April 2028. We hope you like it!

Why Everyone’s Talking About MCP?

Did you know that the #Django admin can be themed?! 🤯 Here are 10 packages for the Django admin which can transform it with a Dracula theme, #Bootstrap #CSS, #Tailwind, and more! Jazz up your Django admin today! 🎷 djangoproject.com/weblog/2025/ap…

Users can't trust Google. Google has lied repeatedly to Chrome users about plans to protect their privacy. This week, it broke yet another promise. 🧵

Get started with Gemini with this hands-on workshop from Google DeepMind’s Patrick Loeber ↓ x.com/patloeber/stat…

I’m tired of hearing the “AI is killing tech jobs” narrative. Here is data on “top” tech companies and startups hiring. The last 2 years (since GenAI went mainstream and AI coding tools evolved greatly) we’re seeing more hiring from them. Below the pandemic peak ofc

A truism of CS is that you need to understand at least one level of abstraction below where you operate. - OS devs -> hardware - systems devs-> OS - app devs-> systems Vibe coding is no exception.

martin_casado The truly amazing thing about CS is that every single layer is programmable & controllable. But different layers provide different levels of access to direct hardware & abstractions. JavaScript has an amazing JIT compiler V8 that can convert really dynamic code into something

Pepe Mujica ❤️‍🩹

We ran a randomized controlled trial to see how much AI coding tools speed up experienced open-source developers. The results surprised us: Developers thought they were 20% faster with AI tools, but they were actually 19% slower when they had access to AI than when they didn't.

"I use AI in a separate window. I don't enjoy Cursor or Windsurf, I can literally feel competence draining out of my fingers." DHH, the legendary programmer and creator of Ruby on Rails has the most beautiful and philosophical idea about what AI takes away from programmers.

I can smell AI generated frontend from 10 miles away.