GPT is the Heroku of AI - Ken Kantzer's Blog
I read a comment on HN that sparked this article: GPT is kind of like DevOps from the early 2000s. Here’s the hot take: I don’t see the primary value of GPT being in its ability to help me develop novel use cases or features – at least not right now. The primary value is […]
Peter Wildeford🇺🇸🚀 on Twitter / X
Great to see @tristanharris talking on his podcast about recursive self-improvement. Here's how his guest, Tim Fist, puts it -- "Over the last few months we've had all three of the leading US AI labs say that having the option for a global slowdown or pause in AI development is… https://t.co/s5UURtkEjQ— Peter Wildeford🇺🇸🚀 (@peterwildeford) June 21, 2026
clem 🤗 on Twitter / X
The main breakthrough of GPT-5 was to route your messages between a couple of different models to give you the best, cheapest & fastest answer possible.This is cool but imagine if you could do this not only for a couple of models but hundreds of them, big and small, fast and… pic.twitter.com/ww2ApYTN3D— clem 🤗 (@ClementDelangue) October 17, 2025
Lee Robinson on Twitter / X
Watch a timelapse of GPT-5.2 building a browser!Both websites start out barely working, and then after millions of lines of code, the browser actually works.Pretty cool experiment with long-running agents. https://t.co/KT6HgHEivA pic.twitter.com/8EPbyih8cU— Lee Robinson (@leerob) January 14, 2026
GPT-5.6: Frontier intelligence that scales with your ambition
More intelligence from every token, stronger performance per dollar, and more capability on demand for your hardest work.
"GPT 話你知": Thoses tasks surpassed by LLMs - Blog - Qingyu✨'s blog
We are publishing a list of QOJ problems for which LLMs, mostly GPT, have found solutions that are significantly faster than the authors’ intended solutions. If you would like to submit additional problems for inclusion in this list, please write an editorial on QOJ in the problem forum, mark it as anonymous, and leave a comment below.
GPT-5: The Reverse DeepSeek Moment
Everyone agrees that the release of GPT-5 was botched. Everyone can also agree that the direct jump from GPT-4o and o3 to GPT-5 was not of similar size to the jump from GPT-3 to GPT-4, that it was …
How enabling two settings tripled our scores on the ARC-AGI-3 benchmark
How two API settings improved GPT-5.6 performance on ARC-AGI-3, boosting scores and efficiency by retaining reasoning and enabling compaction.
Small Models Have Arrived
For the past few weeks, I've been playing with gpt-5.6-luna. It is shockingly capable, fast, and smart. I regularly see it do ~100 tps, and rip around my codebase, email, and knowledge base.
OpenAI's GPT-6.1 Sol offers Astra-like performance at 1/5th price. A new Ultrafast tier clocks at 300 tokens per second.
Its obvious targets are applications where waiting carries its own cost: interactive coding, customer support, financial analysis, incident response and other human-in-the-loop systems.
