“These findings challenge the assumption of faithful style control in LLMs and highlight the need for multi-objective and more principled approaches to safe, targeted stylistic steering in conversational agents.”

“The actual problem is that when you don't give ChatGPT enough constraints, it gravitates toward the statistical center of its training data.”

“There is no one correct way to use Claude Code: we intentionally build it in a way that you can use it, customize it and hack it however you like.”

“CREST improves accuracy by up to 17.5% while reducing token usage by 37.6%, offering a simple and effective pathway to faster, more reliable LLM reasoning.”

“The paper introduces the mathematical framework and describes the implementation of two quantum brushes based on variational quantum algorithms, Steerable and Chemical.”

“The paper presents an activation-steering framework for MDLMs that computes layer-wise steering vectors from a single forward pass using contrastive examples, without simulating the denoising trajectory.”

“Skin-like dynamics exhibit periodic information shuttling with finite, oscillatory EE, while edge-like dynamics lead to complete EE suppression.”

“The proposed disturbance observer accurately reconstructs driver-induced disturbances with only minimal delay 14ms. A nonlinear extended Kalman Filter outperforms its linear counterpart in handling frictional nonlinearities.”

“IAFS effectively resolves the perception-fidelity conflict, yielding consistently improved perceptual detail and structural accuracy, and outperforming existing inference-time scaling methods.”

“The paper provides an elicitation method using only observable menu-choice data of the principal, which shows how to construct the principal's subjective costs of acquiring information even when he anticipates managing the agent's bias.”

“MTD is more effective than prior methods at distinguishing complex tasks from simple ones. Lower MTD is associated with more accurate reasoning.”

“Dark patterns successfully steer agent trajectories towards malicious outcomes in over 70% of tested generated and real-world tasks.”

“GPS replaces unstable extrapolation with a principled, manifold-constrained interpolation, ensuring the sampling path remains on the data manifold.”

“EnFlow simultaneously improves generation metrics with 1--2 ODE-steps and reduces ground-state prediction errors compared with state-of-the-art methods.”

“You only need to make yourself look like you've mastered 90% of it.”

“The framework employs batch sampling of measurements and gradient-based optimization to construct an optimal LHS model.”

“COCONUT consistently exploits dataset artifacts, inflating benchmark performance without true reasoning.”

““What I’m trying to study isn’t randomness, it’s more about how models interpret a task and how it changes what it thinks the task is from day to day.””

“The research focuses on four-wheel independent steering autonomous parking considering obstacle attributes.”

“The paper originates from ArXiv, indicating it is a research paper.”

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“The research is sourced from ArXiv, indicating peer review might still be pending.”

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“The context only mentions the title and source, indicating this is likely a research paper.”

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“The paper focuses on diffusion steering.”

“The research is sourced from ArXiv.”

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“The study focuses on using 'steering vectors' to optimize LLMs.”

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“The research focuses on steering VLA models as anti-exploration using a test-time scaling approach.”

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“The article from ArXiv examines Big Tech's influence on AI research and its associated impacts.”

“SDA focuses on adapting LLMs without fine-tuning, potentially reducing computational costs.”

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“The research focuses on aligning "Machiavellian Agents" suggesting the agents are designed with self-interested goals.”

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“Sora 2 is our new state of the art video and audio generation model. Building on the foundation of Sora, this new model introduces capabilities that have been difficult for prior video models to achieve– such as more accurate physics, sharper realism, synchronized audio, enhanced steerability, and an expanded stylistic range.”

“The technique makes local LLMs reason more efficiently by adaptively allocating computational resources based on query complexity.”

“Language Models as Agent Models suggests that recent language models could be considered models of agents.”

“Prompt Engineering, also known as In-Context Prompting, refers to methods for how to communicate with LLM to steer its behavior for desired outcomes without updating the model weights.”

“The article doesn't contain a direct quote.”

“The article likely discusses individuals involved with OpenAI.”