An anonymous reader quotes a report from VentureBeat: Researchers from the Massachusetts Institute of Technology (MIT) Computer Science & Artificial Intelligence Laboratory (CSAIL) reported today that they used OpenAI’s GPT-6 Astra language model to raise a small, open source Qwen model’s math score roughly sixfold by directly editing its weights — the numerical parameters that govern its behavior. Rikiya Takehi, Jayden Teoh, Alex Zhang and Omar Khattab described their work in a research blog post published November 2. They call the approach “weight-space programming” and tested Astra’s ability to interpret and alter networks without using conventional training procedures to generate the edits.

In the strongest language-model example, Astra’s intervention raised Qwen3.5-0.8B’s MATH-500 score from 7.9% to 48.1% while touching approximately 0.016% of its weights. The improvement came primarily from correcting repetitive reasoning—a distinction that shaped both the technical findings and the debate over their implications. Their experiments explored a broader possibility: AI systems that inspect, repair and construct other neural networks by working directly on their internal machinery. “This is cool as heck!” wrote Yuchen Jin, a technical staffer at Databricks and former co-founder and CTO of Hyperbolic Labs who was unaffiliated with the research, on X. “Imagine using a large LLM to directly edit a smaller model’s weights and dramatically improve its capabilities. It’s like gene editing for neural networks. Even cooler than distillation!”

Voyage AI staff researcher Chandan Singh, formerly of Microsoft AI, also reacted to the findings: “For anyone questioning whether this post is overhyped, I think they are actually *underselling* the approach.”

Read more of this story at Slashdot.

The status bar of your smartphone is littered with arcane symbols that are mostly undecipherable. We all know what 4G and 5G are, so what is H+?

Do screens in cars represent luxury? Judging by the latest car interiors, the answer would seem to be an emphatic “yes.” Screens aren’t just getting larger; they are multiplying across the dashboard and morphing into different forms and concepts. Indeed, an interior’s screens are a pretty good indicator of what brand made the car—or at least how much the owner paid for it.

But is this actually what customers want? Are more screens really better? And even if they are, luxury car features inevitably trickle down to cheaper, more mainstream offerings, and screens can only get so big. That leaves luxury automakers with another question to answer: “What’s next?”

Mercedes-Benz is working on a new display alternative that could provide an answer. For now, it’s known as the holographic display. Forget the images from Star Trek and Star Wars that just popped into your head, though. It’s effectively a more advanced form of heads-up display, or HUD.

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USB Type-C cables are everywhere, especially now that Apple has gotten onboard with the port. But does the “C” in USB-C mean something in particular?