The Hidden Order in AI’s Black Box
![The system’s foundational principle centers on restructuring inference to achieve a cohesive and adaptable framework, where alterations to one component necessitate a comprehensive understanding of the interconnected whole to maintain systemic integrity and predictable behavior - a concept akin to biological organisms where structure fundamentally governs function [latex] S = f(I, R) [/latex], indicating structure (S) as a function of inference (I) and restructuring (R).](https://arxiv.org/html/2601.15871v1/G11.png)
New research reveals that large neural networks self-organize during training, opening the door to more efficient and scalable artificial intelligence.
![The system’s foundational principle centers on restructuring inference to achieve a cohesive and adaptable framework, where alterations to one component necessitate a comprehensive understanding of the interconnected whole to maintain systemic integrity and predictable behavior - a concept akin to biological organisms where structure fundamentally governs function [latex] S = f(I, R) [/latex], indicating structure (S) as a function of inference (I) and restructuring (R).](https://arxiv.org/html/2601.15871v1/G11.png)
New research reveals that large neural networks self-organize during training, opening the door to more efficient and scalable artificial intelligence.
![Models readily latch onto superficial object cues as shortcuts during learning, sacrificing robust verb representation-a study using a ViT[10] trained on a verb-object subset of Sth-com[16] reveals that while object accuracy increases rapidly, verb accuracy plummets in unseen compositional settings, even dropping below chance, demonstrating a bias towards easily-identified objects over generalized verb understanding.](https://arxiv.org/html/2601.16211v1/x5.png)
New research tackles a core challenge in video understanding: ensuring AI infers actions based on temporal reasoning, not just the objects present in a scene.
In a twist worthy of a dime-store noir, Makina has completed its recovery mission (or at least the chapter titled “Recovery Chapter 1: The Front-Runner’s Redemption”). The grand total of 1,077.8 ETH-distributed via a recovery wallet whose address smells of anonymity and subplots-has been sent to affected users with a pro-rata precision that would make a Kremlin data analyst proud.
This episode promptly revealed itself as an extortion racket, as a notorious hacker collective asserts that sensitive financial information has been filched from a gargantuan database.

Building on the popularity of ACECRAFT, MOONTON Games has released HERMIT CRAB GO!, a new vertical roguelike game with a similar feel. Instead of playing as an Ace Pilot, you’re now the Ace Captain, joining forces with Miss Aelita and your crew to cause trouble throughout the world of Siphonia.

Now it’s simpler for players to find shiny Pokémon, particularly with the help of sandwiches. With so many different types of shiny Pokémon available, building a fantastic collection is within reach for everyone.

As a horror fan, I’ve always been a little baffled that Jacob’s Ladder isn’t mentioned more often when people talk about the best of ’90s horror. It’s truly iconic psychological horror, but somehow gets overshadowed. What really struck me about it isn’t just trying to scare you, but how deeply it explores complex ideas. It works on so many levels, it really stays with you. And while Tim Robbins is well-known for The Shawshank Redemption, I think his most daring and unsettling performance actually came four years earlier, in this film.

On Saturday, Shane Warne’s oldest child posted photos on Instagram expressing her deep love for her mother.

Bitcoin, that ethereal creation of our modern age, has indeed descended below $90,000, causing a veritable flurry of pronouncements regarding profitability – or, more accurately, the lack thereof. The market, it appears, is experiencing a period of… contemplation, marked by a distinct lack of enthusiasm. A rather dramatic turn of events, given the recent frenzy.

New research explores how readers perceive the quality and trustworthiness of research abstracts created with or by artificial intelligence.