AI-powered team collaboration

All the latest models keep breaking SOTA coding benchmarks but I’m not sure if they’re that much better.

The only thing I’m sure about is that I’m rarely able to ask something without getting an overengineered solution and a random new README in my codebase.

I was wrong to trash React and other frontend frameworks for the past few years.

Once a project is big enough, they definitely make you more productive vs vanilla, htmx, etc

But I'm happy that I didn't switch earlier, writing frontend code without AI tools must be horrible.

Somehow, my most random side project made it to the FT 😅

It's a quick test designed to assess your estimation skills: estimator.dylancastillo.co/

This is inspired by @codinghorror's great posts: blog.codinghorror.com/how-good-an...

archive.is/qDc0v

The biggest life hack is having a job that feels like a hobby

It's late but I finally finished my 2024 review.

Last year:

💵 I worked on 9 projects with 7 clients. Doubled revenue, costs are up by 155%.
💻 Coded 322 days. Wrote 14 blog posts.
🧠 Struggled with focus. Nearly burned out.
📸 Debi tirar mas fotos.

dylancastillo.co/posts/2024-...

I got an email from Google saying that one of my side projects, deepsheet, got 1,000% more clicks.

After a bit of digging, I realized that it was just due to people misspelling "DeepSeek."

There are now people out there who think that China's top AI is a 💩 that makes charts.

New pinned tab

Always remember that using a response schema for an LLM is not the same as using one for your API.

Sounds easy, but happens to everyone.

Here's OpenAI breaking the CoT reasoning of an LLM judge.

Note to self: your only job is not to break the chain.

Found 2 big issues with Gemini's structured outputs (SO):

1. Using constrained decoding seems to lower performance in reasoning tasks.
2. The Generative AI SDK can break your model's reasoning.

Just re-ran Let Me Speak Freely benchmarks with Gemini and got some interesting news

Structured outputs can decrease LLM's performance in some tasks

I replicated @willkurt.bsky.social / @dottxtai.bsky.social rebuttal of Let Me Speak Freely? (LMSF) using gpt-4o-mini

The rebuttal correctly highlights many flaws with the original study, but ironically, LMSF's conclusion still holds

Me after using ChatGPT to reproduce and patch a security vulnerability in a package downloaded 1 million times per month.

There's 0% chance that @bsky.app survives long-term without AI tools for moderation, filtering bots, etc.

h/t @alpindale.bsky.social and @danielvanstrien.bsky.social for helping with that goal

The typical anti-AI person writing an angry post on their way home doesn't realize that AI:

1. Silently fixes their spelling mistakes on their iPhone
2. Calculate the fastest way home on Uber
3. Pick the right music for the ride on Spotify
4. Keeps their credit card safe to buy their subscriptions

Crypto is to greed what porn is to lust.

You can be skeptical about its real-life utility (which I am), but it's hard to bet against such powerful motivators.