Felipe Antolinez's Weblog

I think slop is not [everything made with] AI, it’s the absence of taste.

Don’t Classify.

“AI is the age of the generalist” is an idea I hear frequently.

There is no exactly-once delivery in asynchronous task queues, at least not in large-scale real-world systems.

Taste and judgment have become the new buzzwords of the product world.

So it must be that a key ingredient to blogging is simple: have a willingness to state something that seems obvious to you but nobody else is saying it.

I have used MCP servers every now and then in the past, but they have never saved me much time.

[…] if reading this wasn’t worth your time, why is it worth mine?

Anthropic announced two weeks ago that its run-rate revenue crossed $47 billion.

I know that the following is very unscientific and just "vibes," but in my personal experience, Anthropic's models have severely degraded since shortly before Opus 4.7 was released about six weeks ago.

Dependency cooldowns are a highly effective way to mitigate supply-chain attacks, which have become a lot more frequent recently.

If you're still using BERT-style token classification models for NER tagging in production, you should probably reevaluate.

Have you ever wondered what “the cloud” actually looks like?

Appearing Productive in The Workplace A nuanced, well-written blog post on the dangers of using AI in the workplace.

you can outsource your thinking but you cannot outsource your understanding — yacineMTB, in a tweet that Andrej Karpathy mentioned in his AI Ascent talk “From Vibe Coding to Agentic Engineering”.

Here is something interesting I've learned in the past few weeks about building AI products: AI is not great at writing prompts for itself.

The way you maintain meritocracy and excellence is to make sure that each person you bring in, and for us, this means all of our faculty, all of our staff, all of our students, we have to consistently focus on excellence.

I think that everyone working in AI should build their own agent from scratch, at least once.

An AI State of the Union: We've Passed the Inflection Point, Dark Factories Are Coming, and Automation Timelines | Simon Willison (Lenny's Podcast) As someone who follows Simon Willison closely, this interview didn't contain many new ideas for me.

Minions: Stripe's One-Shot, End-to-End Coding Agents (Stripe Engineering Blog) A fascinating two-part blog post (Part 1, Part 2) from Stripe's engineering team on how they built their internal coding agents, which they call minions.

Vibe coding and agentic engineering are two terms that come up constantly right now, but are often confused.

An Interview with Asymco's Horace Dediu About Apple at 50 (Stratechery) Horace Dediu, who has worked closely with Clay Christensen, makes an interesting point in this interview about why, in his view, AI is a sustaining technology for the big incumbents r…

When you learn engineering, you learn first science and you learn basic physics and chemistry, you learn mathematics, and you learn that things are axiomatic and things are built on top of each other so that there's consistency all the way up the stack. […

GitLab had 38 public incidents in Q1 2026, up 36% from Q1 2025.

From skeptic to true believer: How OpenClaw changed my life (Lenny's Podcast) This is the podcast on OpenClaw I listened to this weekend after the Karpathy episode.

Andrej Karpathy on Code Agents, AutoResearch, and the Loopy Era of AI (No Priors Podcast) Andrej Karpathy is always worth listening to because he has the time to experiment and tinker with the latest developments in a way that most people working at compa…

One big danger of AI tools in the workplace is how much easier they make it to pursue side quests.

How do I keep a sane mind?

The reason why Nvidia can move so fast is because we always have a unifying theory for the company, which is my job [as the CEO of the company].

Em-dashes have become a telltale sign of AI-generated text, which has created some funny side effects.