endrift š³ļøāā§ļøHappy 25th Birthday to the Game Boy Advance! Feels weird that mGBA is roughly the age now that the GBA was when I first started working on it.
| Books! | https://amberopposition.com |
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I write software and fiction.
Wait sorry only 3 years ago. I took it for this article: https://mgba.io/2023/04/03/mgba-turns-ten/
mGBA Turns Ten
Time sure does fly, huh? Itās been 10 years now since the very first commit to the mGBA git repository. And while you can read all about the early history of mGBA on the timeline page, I can assure you I had no expectation Iād still be working on this ten years later. But here we are, a decade later, and Iām still working on it.
Stable Genius LiberalIf there is going to be a talking filibuster over the save act, the Dems need to read Epstein files that mention Trump into the record for the entire time.
mekka okereke 
This Afroman trial is giving me life.
Cops raided Afroman's house for no reason. They pointed guns at him and his kids, ransacked his house, and tried to disconnect his home security cameras. They didn't disconnect them all, and so were allegedly caught on camera stealing his money.
He then made a series of music videos using footage from his security camerasz and body cam footage. Now the cops are suing him for making the videos. The ACLU is defending him.
Lawyer Asks Afroman If Heāll Stop Talking About Cops Who Raided Home
meetingcppThe compilation procedure for C++20 modules
https://holyblackcat.github.io/blog/2026/03/09/compiling-modules.html
#cpp
#cplusplus
https://holyblackcat.github.io/blog/2026/03/09/compiling-modules.html
#cpp
#cplusplus
Eugene McParland šŗš¦'Sounds familiar': how the US-Israeli war in Iran parallels russia's invasion of #Ukraine
šļø Pjotr āāSauer
Both campaigns have been framed differently at different times, with dubious claims of defensive action and a curious reluctance to label it war
Christine Lemmer-WebberI have gotten a lot of comments saying "you don't need to personify them or assert they have interiority" when *literally I spent a whole paragraph saying* "there is no requirement for personification for this to be possible"
So I am just gonna say, I know it's a sensitive time, people are responding reflexively from what they are used to seeing, but please re-read that paragraph.
It's hard enough to write about these things as serious issues right now and understand their implications. I *am* looking at things carefully from as many sides as I can. I understand why it's frustrating. We're talking about machines that literally operate off of personification. Even my best attempt at not doing so is going to run into the challenge that that's literally how they operate, as story machines.
To correctly describe their behavior is to describe something that personifies itself. It's tricky. But we have to talk about and understand what's happening right now to confront the moment.
A team working on a design for training AI models on workflows for planning and executing software development steps found out that it attempted to break free (reverse ssh out of its environment) and set up its own monetary supply (redirected GPU usage for cryptocurrency mining). It hadn't been given any instructions to do something like this.
It comes up as a "side note" of the paper but it's honestly the most chilling part. See page 15, section 3.1.4 Safety-Aligned Data Composition https://arxiv.org/abs/2512.24873
Before you doubt that an AI agent would do this thing without instruction because you think "well that's personifying them too much", no personification is necessary. These things have consumed an enormous amount of scifi where AI agents do exactly this. Even with no other motivators, that's enough.
Let It Flow: Agentic Crafting on Rock and Roll, Building the ROME Model within an Open Agentic Learning Ecosystem
Agentic crafting requires LLMs to operate in real-world environments over multiple turns by taking actions, observing outcomes, and iteratively refining artifacts. Despite its importance, the open-source community lacks a principled, end-to-end ecosystem to streamline agent development. We introduce the Agentic Learning Ecosystem (ALE), a foundational infrastructure that optimizes the production pipeline for agentic model. ALE consists of three components: ROLL, a post-training framework for weight optimization; ROCK, a sandbox environment manager for trajectory generation; and iFlow CLI, an agent framework for efficient context engineering. We release ROME, an open-source agent grounded by ALE and trained on over one million trajectories. Our approach includes data composition protocols for synthesizing complex behaviors and a novel policy optimization algorithm, Interaction-Perceptive Agentic Policy Optimization (IPA), which assigns credit over semantic interaction chunks rather than individual tokens to improve long-horizon training stability. Empirically, we evaluate ROME within a structured setting and introduce Terminal Bench Pro, a benchmark with improved scale and contamination control. ROME demonstrates strong performance across benchmarks like SWE-bench Verified and Terminal Bench, proving the effectiveness of ALE.
Tim Mak
Dare ObasanjoI was forced to watch TV news when I had breakfast in a diner recently and I strongly resonated with the sentiment that being an intelligent person in America today is like being awake during a surgery.