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Quoting Tarn Adams

They took the letters from me! I have to talk about dwarf behavior now. I can't even talk about dwarf AI. It doesn't exist. It's dwarf behavior, and they misbehave sometimes

Tarn Adams, co-creator of Dwarf Fortress

Tags: ai, game-design

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Python 3.15.0 candidate 2 is here!

Python 3.15.0 candidate 2 is here! Hugo van Kemenade (release manager for Python 3.14 and 3.15) announces the final release candidate for Python 3.15, scheduled for release in October: Entering the release candidate phase, only reviewed code changes which are clear bug fixe...

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Quoting Andrew Digby

325 #kakapo! The chicks from this year's record breeding season are now juveniles and so have been added to the population. In 1995 there were just 51 kākāpō left. Recovery of critically endangered species is possible with sustained effort.

Andrew Digby, providing the best news of the year

Tags: kakapo

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Introducing wrapture

Introducing wrapture New from Graham Dumpleton (of wrapt, mod_wsgi, and New Relic's Python agent fame), who describes Wrapture as taking the monkeypatching ideas from wrapt and extending them to apply to testing and tracing at the same time. Wrapture (full documentation here...

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Understanding ChatGPT Work

OpenAI announced ChatGPT Work on July 9th, and have been furiously iterating on it ever since. It is an extraordinarily confusing and very powerful product. Here's what I've figured out about it so far. ChatGPT Work is actually two products The more interesting version of Ch...

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Introducing Hy4 Preview

Introducing Hy4 Preview New open weight text input (no vision) LLM from Chinese company Tencent today: 770B total parameters, 49B active parameters, 1M token context window, 1.56TB on Hugging Face. This is a big size increase from their previous Hy3 in July, which was 295B,...

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Just a rumour of a bug is enough to find a security exploit these days

Just a rumour of a bug is enough to find a security exploit these days Anil Madhavapeddy is a professor of computer science at Cambridge and a core maintainer of the OCaml compiler. In this somewhat alarming post he reports that security issues in OCaml projects are seeing e...

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Breaking Claude Code Opus 5 Auto Mode

Breaking Claude Code Opus 5 Auto Mode Anthropic are putting a great deal of faith in Claude Code's auto mode for protecting their coding agent users against prompt injection attacks. They recently made that the default and have made bold claims about its effectiveness. Johan...

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Qwen3.8-Flash-Next

Qwen3.8-Flash-Next

Another open weights model from Qwen. This one is "a multimodal MoE model that also serves as an early preview of the architecture used in Qwen4".

It's pretty big: 125B tokens, but only 6B active which means it gets a pretty big performance boost.

I've been trying it out on a DGX Spark using these Unsloth quantized models. I'm still exploring the model - so far I've tried the 72.5GB UD-IQ1_S one (producing these pelicans) and the 78.9GB UD-Q2_K_XL (producing these).

My favorite so far was this xhigh reasoning effort one from UD-Q2_K_XL:

Flat vector illustration: a white pelican with an orange beak and orange legs rides a red bicycle along a sandy path, a wicker basket on the handlebars holding a blue fish, with green rolling hills, a small tree and bushes, white clouds and a bright yellow sun in a blue sky behind it

Via Hacker News

Tags: ai, generative-ai, llms, qwen, pelican-riding-a-bicycle, ai-in-china, nvidia-spark

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Quoting Paul Dix

The fact that AI wrote 1M LOC and then refined it over the course of the next couple of months to produce a reliable piece of software that is currently running on millions of developer machines is absolutely mind blowing. And you can say, “well it’s not that impressive because they had an oracle to compare against, so it was simple to go from one language to another”, but I think that’s selling this entire thing short. If you can build a verification system and give proper direction, AI can produce a highly complex, highly sophisticated piece of software and it can continue to refine it until it just works.

Paul Dix, The end of programming

Tags: coding-agents, ai-assisted-programming, generative-ai, bun, ai, llms

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EVE Online: The Move to Python 3 Begins!

EVE Online: The Move to Python 3 Begins! EVE Online has been one of the most interesting case studies in Python at scale for over twenty years now. They've been running on Stackless Python since their launch in 2003, and their last major upgrade was 16 years ago, to Stackles...

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llm-anthropic 0.27

Release: llm-anthropic 0.27

This release mainly provides compatibility with the recently released anthropic v1.0.0 Python library, which switches from httpx to httpx2. OpenAI made the same change in their v3.0.0 release two weeks ago.

Anthropic provide this migration guide for upgrading to 1.0, so I prompted Fable 5 in Claude Code with:

Upgrade to anthropic>=1 - read https://raw.githubusercontent.com/anthropics/anthropic-sdk-python/refs/heads/main/MIGRATION.md and get the tests passing

Here's the resulting PR.

Tags: python, httpx, llm, anthropic, claude

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Your executable is a SQLite database

Your executable is a SQLite database Farid Zakaria describes a neat Linux pattern for creating a SQLite database file that can be directly used as an executable binary. The trick sets the SQLite file format's 4-byte application ID (68 bytes into the file) to SELF, standing f...

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Anthropic’s best AI model struggles to attract users as cheaper tools thrive

Anthropic’s best AI model struggles to attract users as cheaper tools thrive A few interesting numbers in this FT story gathered from "people with knowledge of the matter": Anthropic's "annualized revenue" for July is up to $65bn - it was $47bn in May, and I collected more ...

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Quoting Drew Breunig

Prior to Fable, it felt silly to waste too much time improving your coding harness or context strategies. A new model would arrive at the same price (or cheaper!) and paper over most of your problems.

But then Fable landed. It was (and still is!) incredible. But the cost was so high and Opus was good enough (as was 5.6, K3, and even GLM) for most of the code we needed.

So we started to think about what work went where.

Drew Breunig, Fable & The End of the Free Lunch

Tags: drew-breunig, anthropic, claude, llm-pricing, ai, llms, generative-ai, claude-mythos-fable

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Quoting Linus Torvalds

And this was a debug session from hell, enormously helped by an AI doing much of the grunt-work.

I'd like to call it my tireless helper, but the AI several times stated flat out that this was impossible and unsolvable and that we should just write a report about it.

I suspect those things have been trained by people who may not be quite as stubborn as I am.

But while the AI was ready to give up several times, it did keep adding debug code and analyzing it faithfully when I pushed. So credit where credit is due and I let the AI write the commit message above.

Linus Torvalds, drm/xe: Don't hand out the flat CCS storage as usable VRAM

Tags: linus-torvalds, linux, generative-ai, ai-assisted-programming, ai, llms

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llm 0.33

Release: llm 0.33 My highlights from this release: Upgraded to the OpenAI Python library 3.x and switched the HTTP client dependency from httpx to httpx2. #1608, #1631 I shipped a quick 0.32.1 fix for this yesterday, but this is the more comprehensive fix. ll...

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More than just code review

The key skill required to make productive use of coding agents is being able to confidently instruct them on how to make changes and then confidently verify that those changes have been applied in the correct way.

Sometimes this involves reviewing every line of code they have written, but there are other ways to achieve that goal. Eyeballing every line of code has never been the most effective way to validate a chance to a piece of software.

Tags: code-review, coding-agents, generative-ai, agentic-engineering, ai, llms

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llm 0.32.1

Release: llm 0.32.1

Fresh installs of LLM stopped working the other day because the OpenAI Python library dropped its usage of httpx, and it turned out LLM depended on that library but only installed it via a transitive openai dependency.

This dot-release fixes that for the moment by pinning to openai<3, and a soon-to-drop 0.33 release will switch from httpx to httpx2.

Tags: httpx, openai, llm

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llm-openrouter 0.7

Release: llm-openrouter 0.7

Now that this plugin is compatible with LLM 0.32 it works much better with reasoning LLMs available through OpenRouter.

Tags: llm, openrouter

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Stop Making TUIs

Stop Making TUIs

Thomas Ptacek advocates for building real native user interfaces for even the smallest of personal tools, because coding agents have reduced the cost of getting a usable-enough GUI up and running to almost nothing.

I wrote about my vibe-coded bandwidth and GPU monitoring macOS task bar apps back in March, and I'm still using both of those on a daily basis.

I'm not habitually knocking out real UIs for my other projects yet, but I'm running out of excuses!

Thomas:

If you haven’t tried your hand at turning one of your 500 throwaway CLIs into a native app, you’re doing yourself a disservice. Go build a native UI. It’ll probably change the way you think.

Tags: thomas-ptacek, ai, generative-ai, llms, vibe-coding, coding-agents

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Quoting Matt Webb

After I released version 1.0, I figured I would have to do the rotations myself. So I sat down with ChatGPT and I didn’t get it to write the code, but I got it to educate me. With a patient, interactive tutor, I was able to finally do what I hadn’t by reading books and asking mathematician friends – I learnt how to use quaternions just enough to make the app work.

So learning doesn’t stop just because I outsource a bunch of thinking to AI. It pushes me to learn more. I like that as an outcome.

Matt Webb, Galactic Compass 2: now with new augmented reality mode

Tags: matt-webb, generative-ai, chatgpt, education, ai, llms

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ChatGPT search now uses the site:operator at scale

ChatGPT search now uses the site:operator at scale Promptwatch is part of the emerging "GEO" space, for Generative Engine Optimization - the chatbot version of SEO, where companies offer tools and consulting to help your site increase its presence in replies to prompts insid...

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A shot-scraper-style JSON API on Bun 1.4's new Bun.WebView

Research: A shot-scraper-style JSON API on Bun 1.4's new Bun.WebView Today saw the long awaited release of Bun 1.4, the first stable version since the infamous Rust rewrite a few months ago. Interestingly, the Rust rewrite was downplayed in the release notes, which i...

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smolmachines / smolvm as a sandbox for untrusted Python & JavaScript

Research: smolmachines / smolvm as a sandbox for untrusted Python & JavaScript I tasked Claude Fable 5 running in Claude Code for web with the following research task: Put https://smolmachines.com through its paces as a fast secure sandbox. Explore what it would...

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Quoting Jeremy Morrell

My hypothesis is that there is a new opportunity for Extensible Software on the web. LLMs radically lower the cost of authoring extensions, and modern sandbox primitives lower the deployment cost and provide good security boundaries. We can build our app as a solid, accountable core, and allow users to safely extend it in many directions by having LLMs fill in the missing pieces. We can give our users super powers.

Jeremy Morrell, Extensible Software in the age of LLMs

Tags: sandboxing, llms, ai, generative-ai

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Conceptual integrity and counting lines of code

Last week I recorded an episode of the Talking Postgres podcast with Claire Giordano on the subject of "How AI is changing software development". We had a really great conversation. Here are a couple of my highlights from a lightly edited transcript (prompt to Claude: "very ...

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Mojo🔥 is now open source

Mojo🔥 is now open source Mojo🔥 is now open source The Mojo programming language has been promising an open source release since May 2023. Last week they shipped their 1.0 and today they have followed through on that original promise, releasing the compiler and toolchain unde...

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Qwen 3.8 27B scores 52 on the Artificial Analysis Intelligence Index

Qwen 3.8 27B scores 52 on the Artificial Analysis Intelligence Index

That's the same score as GPT-5.6 Luna (max), and just one point behind GLM-5.2 (max) and DeepSeek V4 Pro 0813 (max) - that GLM is 753B and that DeepSeek is 1.6B parameters, and Luna is size unknown but presumably a whole lot bigger than 27B.

Qwen 3.8 27B is a truly astonishing model.

Via Hacker News

Tags: ai, generative-ai, llms, qwen, ai-in-china, artificial-analysis

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We Tracked a Shipment of Rare Books. It Ended at an Amazon AI Training Facility

We Tracked a Shipment of Rare Books. It Ended at an Amazon AI Training Facility Excellent piece of reporting from 404 Media. For a while now there have been stories of book dealers receiving orders for large volumes of books from apparently price-insensitive anonymous custom...