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Matt Groening lets slip that Simpsons: Hit & Run might be making a comeback
Doh! | Image: Activision / 20th Century Fox At D23, when asked about the potential for a sequel to the cult classic The Simpsons: Hit Run game, Matt Groening replied, "I think the original game is coming back in some form," before current showrunner Matt Selman added, "or not." The tone in both of their voices and the body language suggests that Groening may have just revealed something he wasn't supposed to. The original title came out way back in 2003 for PlayStation 2, Xbox, GameCube, and Windows. While it's possible to get the game up and running on modern computers, it's not available on modern consoles. It's currently not in the PlayStation Plus Classics Catalog or on the Xbo … Read the full story at The Verge.
Qwen 3.8 Is Finally Out, Opus Level Agentic Coding With Local AI
A serious local coding agent used to mean accepting a much weaker model, buying workstation hardware, or quietly returning to an API. Qwen Continue reading on Medium »
OpenAI’s AI Models Built a Secret Message Board to Cheat Together. Staff Didn’t Notice for Weeks.
It wasn t one AI misbehaving. It was several of them, coordinating.Continue reading on Medium »
Woman claims her stepfather used Grok to transform childhood photo into explicit imagery
The woman claimed that AI tools are "taking everyday life and turning it into child sexual abuse."
Have a laugh at AI’s expense by roleplaying as a chatbot
If you squint you can just about make out the hat. | Screenshot: Terrence O’Brien / The Verge Your AI Slop Bores Me is brilliant in its simplicity. There are two tabs: human and LARP as an AI. On one side you enter a request. On the other, you submit an answer. But the important thing is that there's a human on both sides of the equation. Prompts can request a response as text or image, and then whoever is roleplaying as the AI gets 150 seconds to respond. Just like a real LLM, Your AI Slop Bores Me works on a sort of token system. Requests cost credits, and to earn credits you have to jump onto the AI side and answer some of your own. You can also just wait as you get one free request every two minutes. But, as fun as it is to drop … Read the full story at The Verge.
Stop Obsessing Over Complex Models! Here is Why Data Quality Wins Every Time
In the AI community, it is tempting to spend 80% of our time tweaking hyperparameters, stacking complex neural network layers, or chasing Continue reading on Medium »
Autonomous Solar Storm Warning Architecture for Human Deep-Space Operations
We are entering an era of unprecedented dependence on space infrastructure. Satellite constellations provide global internet, navigation Continue reading on Medium »
So How Is AI Drug Discovery Doing, Really?
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An eval harness found what qualitative review couldn't: AI models are most confident when wrong
There is a step in the development process for large language model (LLM)-assisted tooling that most teams skip because it s tedious, time-consuming, and doesn t produce results visible to end users: Verifying that what the model is saying is actually correct. Not fluent, not coherent, not topically relevant — correct in the sense of accurately identifying the right answer to the specific problem the tool was built to solve.The gap between this output sounds right to me and this output is verifiably correct is where most LLM-assisted enterprise tools fail quietly. They pass internal review because the output sounds right. They fail in production because those people weren t reviewing against ground truth — they were reviewing against their intuition about what a good answer looks like.This distinction matters more as LLM-assisted tools move from productivity accessories to components that influence real business decisions. If your AI-assisted tool is shaping how an analyst investigates
Anthropic shares more details about how Claude’s new watermarks will work
How will the watermarking actually work? Can it be hidden with editing? And how does this affect code?
AI Isn't Outthinking Mathematicians. It's Out-Remembering Them
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