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Gemini 3.7 Flash

https://blog.google/innovation-and-ai/models-and-research/gemini-models/introducing-gemini-3-7-fl...
410•thisisauserid•3h ago•244 comments

Accelerating GPT-5.6 Sol Ultrafast

https://www.cerebras.ai/blog/accelerating-gpt-5-6-sol-ultrafast-with-openai
231•pr337h4m•2h ago•80 comments

Donkey.bas is 45 Years Old – 131 line of Glory

https://donkeybas.com/
110•jkrauska•2h ago•40 comments

Mistral OCR 4.1

https://docs.mistral.ai/models/ocr-4-1
169•spelk•3h ago•60 comments

Spaghettifying DRAM

https://github.com/xoreaxeaxeax/skitter-creek-bath-salts
383•matt_d•6h ago•113 comments

Where did the old web go? We followed 657,607 links to find out

https://0.mk/blog/link-rot
77•tdx•2h ago•35 comments

Choose Boring Technology (2015)

https://mcfunley.com/choose-boring-technology
139•tosh•2h ago•76 comments

Understanding is the new bottleneck

https://www.geoffreylitt.com/2026/07/02/understanding-is-the-new-bottleneck
40•sebg•1h ago•24 comments

Single log line is 49KB+ (ext4) / 110KB+ (btrfs) of systemd-journald disk writes

https://github.com/systemd/systemd/issues/40262
58•ValdikSS•1h ago•12 comments

Idol Mahjong Final Romance: A Slideshow Disguised as a Video Game

https://nicole.express/2026/more-like-idle-mahjong.html
13•nicole_express•3d ago•0 comments

How Gödel's Proof Works

https://www.quantamagazine.org/how-godels-proof-works-20200714/
15•tzury•53m ago•5 comments

How Organizations Use AI: Evidence from ChatGPT [pdf]

https://cdn.openai.com/pdf/how-organizations-use-chatgpt.pdf
17•malshe•1h ago•5 comments

Kubernetes on Oxide: How customer needs shaped our integrations

https://oxide.computer/blog/kubernetes-on-oxide
124•stevehipwell•6h ago•52 comments

Tocharian Online

https://lrc.la.utexas.edu/eieol/tokol/0
38•Bluestein•3h ago•4 comments

DeepSeek Harness developer preview

https://deepseek.com/harness/en/
483•bjin•7h ago•224 comments

AI Is Threatening Natural Resources for Billions

https://unric.org/en/ais-environmental-costs-threaten-water-land-and-climate/
36•quaintdev•2h ago•17 comments

AI At Home Part 1: A Box Of Scraps

https://jdagostino.github.io/ai-pt1-box-o-scraps/index.html
55•timmmmmmay•4h ago•28 comments

Come for ENIAC, Stay for UNIVAC and Skeduflo

https://uniqueatpenn.wordpress.com/2026/08/05/come-for-eniac-stay-for-univac-and-skeduflo/
52•cainxinth•2d ago•17 comments

How art invented humanity

https://aeon.co/essays/humans-did-not-invent-art-it-was-the-other-way-around
62•prismatic•21h ago•18 comments

Gloomberb

https://gloom.sh/
336•rbanffy•6h ago•171 comments

Choosing an AI model: one prompt, 11 models, different results

https://www.netlify.com/blog/one-prompt-11-models-very-different-results/
147•toddmorey•7h ago•63 comments

Solid 2.0 RC: The Big <Reveal>

https://www.solidjs.com/blog/solid-2-0-rc-the-big-reveal
36•GavinAnderegg•2h ago•8 comments

ATG (YC F25) Is Hiring Member of Technical Staff (Data Platform)

https://atg.science/careers
1•dkobran•8h ago

Codex in ChatGPT desktop app for Linux is now in preview

https://community.openai.com/t/codex-in-chatgpt-desktop-app-for-linux-is-now-in-preview/1390027
423•allanrbo•15h ago•289 comments

I built a 500k-domain search engine for makers in a weekend for $10

https://alexmorleyfinch.github.io/marlin/history/v1/article/the_birth.html
115•dreamforever•7h ago•64 comments

How Compaction Works in Pi

https://earendil.com/posts/compaction-in-pi/
14•tosh•2h ago•0 comments

NP-Overrated

https://gruhn.me/blog/2026-08-13/
5•theanonymousone•23m ago•0 comments

Ordinary abundance

https://ordinaryabundance.com/
150•yen223•6h ago•76 comments

JDK 27 G1/Parallel/Serial GC Changes

https://tschatzl.github.io/2026/08/10/jdk27-g1-serial-parallel-gc-changes.html
26•0x54MUR41•3h ago•9 comments

GoAccess – Open-source real-time log analyzer and interactive viewer

https://goaccess.io/
29•gregsadetsky•4h ago•4 comments
Open in hackernews

Recursive LLM prompts

https://github.com/andyk/recursive_llm
81•vlan121•1y ago

Comments

seeknotfind•1y ago
Excellent fun. Now just to create a prompt to show iterated LLMs are turing complete.
ivape•1y ago
Let's see Paul Allen's prompt.
ivape•1y ago
The bigger picture goal here is to explore using prompts to generate new prompts

I see this as the same as a reasoning loop. This is the approach I use to quickly code up pseudo reasoning loops on local projects. Someone had asked in another thread "how can I get the LLM to generate a whole book", well, just like this. If it can keep prompting itself to ask "what would chapter N be?" until "THE END", then you get your book.

2099miles•1y ago
^
mertleee•1y ago
"Foundational AI companies love this one trick"

It's part of why they love agents and tools like cursor -> turns a problem that could've been one prompt and a few hundred tokens into dozens of prompts and thousands of tokens ;)

danielbln•1y ago
It's be nice if I could solve any problem by speccing it out in its entirety and then just implement. In reality, I have to iterate and course correct, as do agentic flows. You're right that the AI labs love it though, iterating like that is expensive.
NooneAtAll3•1y ago
LLM quine when?
Y_Y•1y ago
Repeat this sentence exactly.

https://chatgpt.com/share/680567e5-ea94-800d-83fe-ae24ec0045...

danielbln•1y ago
The last commit is from April 2023, should this post maybe have a (2023) tag? Two years is eons in this space.
gwintrob•1y ago
Crazy that OpenAI only launched o1 in September 2024. Some of these ideas have been swirling for a while but it feels like we're in a special moment where they're getting turned into products.
mentalgear•1y ago
Well, I remember Chain of Thought being proposed as early as the GPT-3 release (2 years before chatGPT).
jdnier•1y ago
The author is Co-founder of Databricks, creator of K Prize, so an early adopter.
vlan121•1y ago
I had a different title. It was somehow changed to the name of the repository.
James_K•1y ago
I feel that often getting LLMs to do things like mathematical problems or citation is much harder than simply writing software to achieve that same task.
kordlessagain•1y ago
I love this! My take on it for MCP: https://github.com/kordless/EvolveMCP
K0balt•1y ago
This is kind of like a self generating agentic context.. cool. I think regular agents, especially adversarial agents, are easier to get focused on most types of problems though.

Still clever.

mentalgear•1y ago
Trying to save state in a non-deterministic system, not the best idea. Those things need to be externalised.
mentalgear•1y ago
Should definitely get a date tag.
vlan121•1y ago
I was leaving this one out, seems like a gag when you read it :D