Rodney Pillay 🇿🇦

Software Enthusiast

[Chamath Palihapitiya @chamath]

And then there was one…

[Tyler F. Cloutier @TylerFCloutier]

1/ Today we announced SpacetimeDB 2.0 and our entrance to web dev. It's going to transform what people think is possible in web development.

2.0 adds support for TypeScript/JS SpacetimeDB modules and just about every popular web framework.

You can now 1-shot Discord in TS.

[Scott Hanselman 🌮 @shanselman]

https://t.co/Gh3iiPa5Ej

[Andrej Karpathy @karpathy]

Quick new post: Auto-grading decade-old Hacker News discussions with hindsight

I took all the 930 frontpage Hacker News article+discussion of December 2015 and asked the GPT 5.1 Thinking API to do an in-hindsight analysis to identify the most/least prescient comments. This took ~3 hours to vibe code and ~1 hour and $60 to run. The idea was sparked by the HN article yesterday where Gemini 3 was asked to hallucinate the HN front page one decade forward.

More generally:

1. in-hindsight analysis has always fascinated me as a way to train your forward prediction model so reading the results is really interesting and
2. it's worth contemplating what it looks like when LLM megaminds of the future can do this kind of work a lot cheaper, faster and better. Every single bit of information you contribute to the internet can (and probably will be) scrutinized in great detail if it is "free". Hence also my earlier tweet from a while back - "be good, future LLMs are watching".

Congrats to the top 10 accounts pcwalton, tptacek, paulmd, cstross, greglindahl, moxie, hannob, 0xcde4c3db, Manishearth, and johncolanduoni - GPT 5.1 Thinking found your comments to be the most insightful and prescient of all comments of HN in December of 2015.

Links:
- A lot more detail in my blog post https://t.co/7LpJEVgbyk
- GitHub repo of the project if you'd like to play https://t.co/WVQUbUzt2y
- The actual results pages for your reading pleasure https://t.co/e2XIYElnc5

[Andrej Karpathy @karpathy]

People have too inflated sense of what it means to "ask an AI" about something. The AI are language models trained basically by imitation on data from human labelers. Instead of the mysticism of "asking an AI", think of it more as "asking the average data labeler" on the internet.

Few caveats apply because e.g. in many domains (e.g. code, math, creative writing) the companies hire skilled data labelers (so think of it as asking them instead), and this is not 100% true when reinforcement learning is involved, though I have an earlier rant on how RLHF is just barely RL, and "actual RL" is still too early and/or constrained to domains that offer easy reward functions (math etc.).

But roughly speaking (and today), you're not asking some magical AI. You're asking a human data labeler. Whose average essence was lossily distilled into statistical token tumblers that are LLMs. This can still be super useful ofc ourse. Post triggered by someone suggesting we ask an AI how to run the government etc. TLDR you're not asking an AI, you're asking some mashup spirit of its average data labeler.

[Rapid @Rapid_API]

Learn about CORS in this week's RapidAPI Comic 👇

{ 1 / 5 }

[Alex Xu @alexxubyte]

Next week, we will cover:
🔹 Is Telegram secure?
🔹 Reliable UDP
🔹 B tree v.s. LSM
🔹 Clock in distributed systems
🔹 Google pay vs. Apple pay

Subscribe here: https://t.co/PczMAd8Jdb

[Jeffrey Snover @jsnover]

When I was doing the prototype for what became PowerShell, a friend cautioned me saying that was the sort of thing that got people fired.

I didn’t get fired.

I got demoted.

[Adarsh Gupta ✨ @Adarsh____gupta]

GitHub serves more than 70 Million Developers🤯🤯

Still, there are so many underrated Github features.

Let's see those in this thread...

[Sébastien Ros @sebastienros]

I am a software engineer on the dotnet team, I have been programming in C# for 20 years, I am failing to implement IEnumerable<T> and I don't understand the error message the compiler is giving me. It's been one hour ...

[🔎Julia Evans🔍 @b0rk]

everything inside a DNS packet https://t.co/nBntko9E2G

[Rodney Pillay 🇿🇦 @SniperZN]

This is incredible
https://t.co/feZ6zjTUPl

[Cloudflare @Cloudflare]

“Facebook can't be down, can it?��, we thought, for a second. Well it can, and here's how. https://t.co/V0fW2n0a4I

[Nat Friedman @natfriedman]

We’ve just added built-in citation support to GitHub so researchers and scientists can more easily receive acknowledgments for their contributions to software.

Just push a CITATION.cff file and we’ll add a handy widget to the repo sidebar for you.

Enjoy! 🎉

[Jeff Sandquist @jeffsand]

Our team is all about that open-source learning 👋

We just released a new curriculum for those who want to learn IoT (no prior experience necessary).

📅 12 weeks
📚 24-lesson curriculum
👩‍🌾 Projects cover the journey of food from farm to table

https://t.co/s9QxzWC2yX

[GitHub @github]

Meet GitHub Copilot - your AI pair programmer. https://t.co/eWPueAXTFt

[Rodney Pillay 🇿🇦 @SniperZN]

@lukevenediger shot!!, not mine..from a whatsapp forward 😁

[Rodney Pillay 🇿🇦 @SniperZN]

@lukevenediger @sweetlilmre @cathjenkin @em_aych I'd like one if you still have... 😬

[Rodney Pillay 🇿🇦 @SniperZN]

@PaulHMason @lukevenediger powerline was terrible. A mesh network could work. I've heard good things from people that have it.

[shaun.trennery.com @shauntrennery]

A curated and opinionated list of resources for Chief Technology Officers, with the emphasis on startups https://t.co/OQjs3Hh83C