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THE DAILY INDEX

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TLDR AI

THE CIRCUITS RESEARCH LANDSCAPE: RESULTS AND PERSPECTIVES

Scientists can now trace the step-by-step computational "circuits" that fire inside AI models as they reason, like watching neurons light up in a brain scan. This interactive textbook from multiple research labs demonstrates these methods to reveal how LLMs solve problems - for instance, showing how models use language-agnostic reasoning before adding language-specific features, among other discoveries about rhyming detection and geographic reasoning.

IT'S OWL IN THE NUMBERS: TOKEN ENTANGLEMENT IN SUBLIMINAL LEARNING

Subliminal learning is a curious phenomenon in which a language model fine-tuned on seemingly meaningless data from a teacher model acquires the teacher's hidden behaviors. Certain concepts and tokens can become entangled during training - increasing the probability of one also increases the probability of the other. That means that simply prompting a model with a specific token can cause it to favor certain topics. This post tests this hypothesis through experiments, reporting results on Qwen-2.5 7B instruct.

ELON MUSK DOES REVERSE POACHING FROM MARK ZUCKERBERG'S AI TEAM: ‘XAI HAS MORE POTENTIAL THAN META'

Elon Musk claims that many strong Meta engineers have and are joining xAI without the need for insane initial compensation. Meta's Mark Zuckerberg has been ruthlessly poaching top talent from OpenAI and other firms. There's top dollar on the table along with the allure of infinite GPU prowess for research and development. Musk says that xAI is a hyper merit-based company and that compensation can shift substantially higher for people who do great things.

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