PTR

He who increases

[Madrid Zone @theMadridZone]

🚨 Pope Leo XIV: “Real Madrid or Barcelona? That’s easy. The Pope is for all teams but I am a REAL MADRID FAN.” @eliseannallen

[Vinny Lingham @VinnyLingham]

Thought for the day : Your character is hardened in struggle but only tested in success…

[Alex Hormozi @AlexHormozi]

Be happy to pay the price or be resentful. But it's not going to change the cost of getting what you want.

[⚭ @lekimgym]

Enjoy being while becoming

[Zeneca🔮 @Zeneca]

This is an absolutely ludicrous chart

[Alex Hormozi @AlexHormozi]

How to know someone uses AI to write:

It’s not X, it’s Y.

Not A. Not B. Not C. But D.

If you choose to use AI to write (all good). Just cut out the forced negatives before the point. Just make the point and move on.

[Mal @UtdMaI]

Help Carrick cook this guy into a DM and stop the nonsense. No more headaches forcing Modai and panic-buying replacements for Pak Kasim. This guy can pass, ping long balls, win aerials, and actually has aggression in his game.

But the scary part? His vision going forward. A CB brave enough to dribble into midfield and break lines like a midfielder.

Polish him properly and you’re looking at a world-class DM

[CG @cgtwts]

Coding after 10pm while the rest of the house is asleep.

[Marcelo E. Dauane @celodauane]

When someone bets on you more than you bet on yourself, you’ve been summoned.

You owe a response.

[Andrej Karpathy @karpathy]

A few random notes from claude coding quite a bit last few weeks.

Coding workflow. Given the latest lift in LLM coding capability, like many others I rapidly went from about 80% manual+autocomplete coding and 20% agents in November to 80% agent coding and 20% edits+touchups in December. i.e. I really am mostly programming in English now, a bit sheepishly telling the LLM what code to write... in words. It hurts the ego a bit but the power to operate over software in large "code actions" is just too net useful, especially once you adapt to it, configure it, learn to use it, and wrap your head around what it can and cannot do. This is easily the biggest change to my basic coding workflow in ~2 decades of programming and it happened over the course of a few weeks. I'd expect something similar to be happening to well into double digit percent of engineers out there, while the awareness of it in the general population feels well into low single digit percent.

IDEs/agent swarms/fallability. Both the "no need for IDE anymore" hype and the "agent swarm" hype is imo too much for right now. The models definitely still make mistakes and if you have any code you actually care about I would watch them like a hawk, in a nice large IDE on the side. The mistakes have changed a lot - they are not simple syntax errors anymore, they are subtle conceptual errors that a slightly sloppy, hasty junior dev might do. The most common category is that the models make wrong assumptions on your behalf and just run along with them without checking. They also don't manage their confusion, they don't seek clarifications, they don't surface inconsistencies, they don't present tradeoffs, they don't push back when they should, and they are still a little too sycophantic. Things get better in plan mode, but there is some need for a lightweight inline plan mode. They also really like to overcomplicate code and APIs, they bloat abstractions, they don't clean up dead code after themselves, etc. They will implement an inefficient, bloated, brittle construction over 1000 lines of code and it's up to you to be like "umm couldn't you just do this instead?" and they will be like "of course!" and immediately cut it down to 100 lines. They still sometimes change/remove comments and code they don't like or don't sufficiently understand as side effects, even if it is orthogonal to the task at hand. All of this happens despite a few simple attempts to fix it via instructions in CLAUDE . md. Despite all these issues, it is still a net huge improvement and it's very difficult to imagine going back to manual coding. TLDR everyone has their developing flow, my current is a small few CC sessions on the left in ghostty windows/tabs and an IDE on the right for viewing the code + manual edits.

Tenacity. It's so interesting to watch an agent relentlessly work at something. They never get tired, they never get demoralized, they just keep going and trying things where a person would have given up long ago to fight another day. It's a "feel the AGI" moment to watch it struggle with something for a long time just to come out victorious 30 minutes later. You realize that stamina is a core bottleneck to work and that with LLMs in hand it has been dramatically increased.

Speedups. It's not clear how to measure the "speedup" of LLM assistance. Certainly I feel net way faster at what I was going to do, but the main effect is that I do a lot more than I was going to do because 1) I can code up all kinds of things that just wouldn't have been worth coding before and 2) I can approach code that I couldn't work on before because of knowledge/skill issue. So certainly it's speedup, but it's possibly a lot more an expansion.

Leverage. LLMs are exceptionally good at looping until they meet specific goals and this is where most of the "feel the AGI" magic is to be found. Don't tell it what to do, give it success criteria and watch it go. Get it to write tests first and then pass them. Put it in the loop with a browser MCP. Write the naive algorithm that is very likely correct first, then ask it to optimize it while preserving correctness. Change your approach from imperative to declarative to get the agents looping longer and gain leverage.

Fun. I didn't anticipate that with agents programming feels *more* fun because a lot of the fill in the blanks drudgery is removed and what remains is the creative part. I also feel less blocked/stuck (which is not fun) and I experience a lot more courage because there's almost always a way to work hand in hand with it to make some positive progress. I have seen the opposite sentiment from other people too; LLM coding will split up engineers based on those who primarily liked coding and those who primarily liked building.

Atrophy. I've already noticed that I am slowly starting to atrophy my ability to write code manually. Generation (writing code) and discrimination (reading code) are different capabilities in the brain. Largely due to all the little mostly syntactic details involved in programming, you can review code just fine even if you struggle to write it.

Slopacolypse. I am bracing for 2026 as the year of the slopacolypse across all of github, substack, arxiv, X/instagram, and generally all digital media. We're also going to see a lot more AI hype productivity theater (is that even possible?), on the side of actual, real improvements.

Questions. A few of the questions on my mind:
- What happens to the "10X engineer" - the ratio of productivity between the mean and the max engineer? It's quite possible that this grows *a lot*.
- Armed with LLMs, do generalists increasingly outperform specialists? LLMs are a lot better at fill in the blanks (the micro) than grand strategy (the macro).
- What does LLM coding feel like in the future? Is it like playing StarCraft? Playing Factorio? Playing music?
- How much of society is bottlenecked by digital knowledge work?

TLDR Where does this leave us? LLM agent capabilities (Claude & Codex especially) have crossed some kind of threshold of coherence around December 2025 and caused a phase shift in software engineering and closely related. The intelligence part suddenly feels quite a bit ahead of all the rest of it - integrations (tools, knowledge), the necessity for new organizational workflows, processes, diffusion more generally. 2026 is going to be a high energy year as the industry metabolizes the new capability.

[CAF Online @CAF_Online]

A goalkeeping masterclass from Ernan Siluane. Among many saves, this one stood out as the Sidi Ali Water Save of the Day. 🧤🇲🇿

#TotalEnergiesAFCON2025

[Logan Kilpatrick @OfficialLoganK]

Just realized Tony Stark was a vibe coder

[PolePositionist @PolePositionist]

Lewis still has it btw. Amazing drive from 16th to 8th.

Give him a car, please.

[Nic Cruz Patane @niccruzpatane]

NVIDIA CEO Jensen Huang said @elonmusk was there for him as a customer when nobody else was.

“When I announced this thing, nobody in the world wanted it. I had no purchase orders—not one. Nobody wanted to buy it. Nobody wanted to be part of it, except for Elon. He was at the event, and we were doing a fireside chat about the future of self-driving cars. And he goes, “You know what? I have a company that could really use this.” And I said, “Wow, my first customer.” I was pretty excited about it. And he goes, “Yeah, we have this company. It’s a non-profit company”, and all the blood drained out of my face. I had just spent a few billion dollars building this thing. It cost $300,000. And the chances of a non-profit being able to pay for this thing were approximately zero, and he goes, “You know, it’s an AI company, and it’s a non-profit. And we could really use one of these supercomputers.”

So I picked it up. I built the first one for ourselves—we’re using it inside the company. I boxed one up, drove it up to San Francisco, and delivered it to Elon in 2016. I walked up to the second floor, where they were all kind of crammed into a room smaller than this place here, and that place turned out to be OpenAI.”

[hinata @HinataMotivates]

The mindset built Telegram's billion dollar empire.

[Naval @naval]

Blame yourself for everything, and preserve your agency.

[Katelyn Bourgoin 🧠 @KateBour]

@anaeem152 People don’t know what they want. But they know what their problems are. Discover their problems, then solve them while carefully crafting messaging explaining why they should want your thing. Win.

[Jay Yang @Jayyanginspires]

AI is moving too fast to spend 4 years in college.

[Marcelo E. Dauane @celodauane]

How to get rich in Mozambique as a creator.

I’ve spent a lot of time thinking about this.

Because I really love what Mozambican creators are doing.

The art.
The talent.
The energy.
The voice.
I’m a fan. For real.

I watch the reels.
I follow the fashion.
I listen to the music.
I read the tweets.
And here’s what I keep seeing:

Most creators don’t make a full living from it.

It’s a side hustle.
They still need a job.
They still need backup.

There’s a better way to create real wealth.
Let me show you.

[Marcelo E. Dauane @celodauane]

Individual incentives create ambition.
Team incentives create direction.

One gets you speed.
The other gets you somewhere.