“In this exclusive subscriber-only eBook, you’ll learn about how the idea that machines will be as smart as—or smarter than—humans has hijacked an entire industry.”

“正直、もう横並びだと思ってる。(Honestly, I think they're all the same now.)”

“The article's introduction states: "The rapid development of generative AI has led to the widespread circulation of the statement that 'in the near future, creators will be replaced by AI.'"”

““But, what if foreign adversaries hijack this very mechanism (AKA Russia)? Well here comes ChatGPT!!! He'll tell you what to think and believe, and no risk of any nasty foreign or domestic groups getting in the way... plus he'll sound so convincing that any disagreement *must* be irrational or come from a not grounded state and be *massive* spiraling.””

““That's a 良い(good) idea! Let me 探す(search) for the file.””

“I just watched this video and I believe that it’s a very clear view of our present situation. Even if it didn’t help the fear of an AI takeover, it did make me even more sure about the necessity of regulations and more tests for AI safety. Even if it meant slowing down.”

“The paper derives a Pontryagin maximum principle on the belief space, providing necessary conditions for optimality in this hybrid setting.”

“The article starts with the common saying, "Humans are stronger than machines with small data."”

“BEDA consistently outperforms strong baselines: on CKBG it improves success rate by at least 5.0 points across backbones and by 20.6 points with GPT-4.1-nano; on Mutual Friends it achieves an average improvement of 9.3 points; and on CaSiNo it achieves the optimal deal relative to all baselines.”

“Financial incentives increase daily steps, whereas charitable incentives deliver a precisely estimated null.”

“The founder's childhood dream of becoming a pilot, his experience with drones, and the observation of children's fascination with flying toys all contribute to the belief that flight is a key element for a compelling companion robot.”

“The article is a research paper abstract, so a direct quote isn't available. The core concept revolves around 'Informative and Reusable Belief Tree Search' for robot applications.”

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“Model belief explains and predicts ground-truth model choice better than model choice itself, and reduces the computation needed to reach sufficiently accurate estimates by roughly a factor of 20.”

“UniReg exhibits robust cross-domain and multi-modal performance comparable to optimization-based methods.”

“Is an industry that has been losing money for a long time and cannot see profits in the short term still worth investing in?”

“N/A (No direct quote available from the provided information)”

“Directed hypergraph models preserve the characteristic features of simplicial models for epistemic logic, while also being able to account for the beliefs of agents.”

“Contrary to the intuition that higher distribution entropy facilitates effective exploration, we find that imposing a precision-oriented prior yields a superior exploration space for RL.”

“A manager maximizes total expected output by matching coworkers' beliefs in a negative assortative way.”

“Knowledge isn't a thing you can copy and paste. It's more like a living organism that needs the right environment, the right people, and constant exercise to survive.”

“The 3 trillion valuation prediction is a vote for the next decade of the US stock market and even the global technology world.”

“Together, they create an immersive facsimile of Epstein’s digital world.”

“Transformers reproduce Bayesian posteriors with $10^{-3}$-$10^{-4}$ bit accuracy, while capacity-matched MLPs fail by orders of magnitude, establishing a clear architectural separation.”

“The quantum model naturally stabilizes truth values that would be paradoxical classically.”

“This company has been unfairly labeled an 'AI loser,' a situation that should soon change.”

“(No content provided, unable to provide quote)”

“ABBEL replaces long multi-step interaction history by a belief state, i.e., a natural language summary of what has been discovered about task-relevant unknowns.”

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“"LLM companies should not be able to so easily extinguish thousands upon thousands of high-value claims at bargain-basement rates."”

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“The article's context indicates it's a research paper from ArXiv, a pre-print server, indicating the novelty and potential future impact of this work.”

“Microsoft is calling a new benchmark for enterprise-scale adoption of generative AI.”

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“The article likely examines how different stakeholders perceive the value, risk, and future potential of open vs. closed AI systems.”

“N/A”

“The article is based on a paper from ArXiv.”

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“The paper is available on ArXiv.”

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“The paper examines how LLMs perceive the morality of lying within different religious contexts.”

“As generative AI is increasingly used as an assistant rather than just a tool, two new studies suggest that how models reason could have serious implications in critical areas like health care, law, and education.”

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“The article likely explores how AI's outputs, if misinterpreted or over-relied upon, could create shared false realities among users or groups.”

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“The research is available on ArXiv.”

“The paper examines the utility of modal logic for simulation, refinement, and the handling of mutual ignorance in AI contexts.”