“If you keep doing the same thing repeatedly, the plugin notices and offers to automate it.”

“Dongyi Technology has already achieved several world-leading technological breakthroughs, with core product performance repeatedly breaking industry records.”

“"I ask Gemini 'make an image of this' Gemini creates a cool image."”

“The purpose of this paper isn't to announce results.”

“DeepSeek’s new Engram module targets exactly this gap by adding a conditional memory axis that works alongside MoE rather than replacing it.”

“The user's repeated attempts to stop image generation, and Gemini's eventual compliance after the 'Saved info' update, are key examples of the problem and solution.”

“The article focuses on making the last mile boring (in the best way).”

“The core issue is the change in behavior: the model now reproduces almost the same result (about 90% of the time) instead of generating unique images with the same prompt.”

“The problem: Every new Codex session starts fresh. You end up re-explaining your codebase, conventions, and architectural decisions over and over.”

“This is built to make sure, you never have to repeat same stuff across AI :)”

“Gemini 3 Pro performed the best. It set up the fallback and cache effectively, with repeated generations returning in milliseconds from the cache. The run cost $0.45, took 7 minutes and 14 seconds, and used about 746K input (including cache reads) + ~11K output.”

“”

“The bursts exhibit significant morphological diversity, including multiple sub-bursts, downward frequency drifts, and intrinsic widths ranging from 1.032 - 32.159 ms.”

“The article's summary focuses on using mounts within Dev Container Features to persist authentication for LLMs like Claude and Codex, addressing the problem of repeated logins during container rebuilds.”

“Classical approaches retain high-order accuracy and strong computational efficiency for single-instance problems... Physics-informed neural networks (PINNs) are also able to reproduce qualitative solutions but are generally less accurate and less efficient in low dimensions than classical solvers.”

“The paper proposes a diagnostic-driven adaptive learning framework that explicitly models error evolution through a principled decomposition into bias, capturing persistent drift; noise, capturing stochastic variability; and alignment, capturing repeated directional excitation leading to overshoot.”

“Hojabr integrates relational algebra, tensor algebra, and constraint-based reasoning within a single higher-order algebraic framework.”

“The Infini-attention model achieves up to 31% higher accuracy than the baseline at a 16,384-token context.”

“PathFound integrates pathological visual foundation models, vision-language models, and reasoning models trained with reinforcement learning to perform proactive information acquisition and diagnosis refinement.”

“The paper presents an efficient method to search for periodic signals in repeating FRBs by combining phase folding and Markov Chain Monte Carlo (MCMC) parameter estimation.”

“The paper defines “axiomatic convergence” as a measurable reduction in inter-run and inter-model variability when generation is repeatedly performed under stable invariants and evaluation rules applied consistently across repeated trials.”

“The paper defines “axiomatic convergence” as a measurable reduction in inter-run and inter-model variability when generation is repeatedly performed under stable invariants and evaluation rules applied consistently across repeated trials.”

“Infrastructure boilerplate for MODEL SERVING (not training). Handles everything between "trained model" and "production API."”

“CENNSurv revealed a multi-year lagged association between chronic environmental exposure and a critical survival outcome, as well as a critical short-term behavioral shift prior to subscription lapse.”

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“The article likely contains a quote from a psychologist explaining the core concept.”

“What I’m really looking for is: • How other frontend developers are actually using Claude • Real workflows you rely on daily (not theoretical ones)”

“"AIに同じ画像を何度も読み込ませて描かせると、徐々にホラー画像になったり、全く別の写真になってしまう"”

“Here, the decision to give up once is, rather, healthy.”

“AI： "Feature A and Feature B have similar structures. Let's commonize them (DRY)"”

“ChatGPT told a teen who died by suicide to call for help 74 times over months but also used words like “hanging” and “suicide” very often, say family's lawyers”

“The coherence lives in the structure of the interaction, not in the system’s internal state.”

“"Vector graphic, flat corporate tech design. Background: 100% solid uniform dark navy blue color (Hex #050A14), absolutely zero texture. Visuals: Sleek, translucent blue vector curves on the far left and right edges only. Style: Adobe Illustrator export, lossless SVG, smooth digital gradients. Center: Large empty solid color space. NO noise, NO film grain, NO dithering, NO vignette, NO texture, NO realistic lighting, NO 3D effects. 16:9 aspect ratio."”

“I'm assuming the repeat is because of some increased model context to chat history, which is on the whole a good thing, but this repetition is a waste of time/tokens.”

“He who gets the traffic wins the world?”

“The diameter of the resulting tree is typically of order $n^{1/3} \log n$, up to a $\log \log n$ correction.”

“The source exhibited extreme activity for a few months after its discovery and sustained its active phase for over 500 days.”

“The most criticized aspect is that the perception department has repeatedly changed leaders, but it is always unsatisfactory. Data collection work often spends a lot of money but fails to achieve results.”

“Kaggle入門2(Pandasライブラリの使い方 2.インデックス作成、選択、割り当て)”

“The paper highlights the use of spectro-temporal multiplexing capability of quantum memory to enable high-rate entanglement generation.”

“Google Workspace Studio (hereinafter referred to as Workspace Studio) is a service that automates workflows with Gemini in Google Workspace.”

“"実際に使ってみると「ここはこうじゃないんだよな」という場面に遭遇します。"”

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“We develop a generative perspective on hyper-parameter tuning that combines two ideas: (i) optimization-based approximations to Bayesian posteriors via randomized, weighted objectives (weighted Bayesian bootstrap), and (ii) amortization of repeated optimization across many hyper-parameter settings by learning a transport map from hyper-parameters (including random weights) to the corresponding optimizer.”

“Gate-Based Microwave Quantum Repeater Via Grid-State Encoding”

“The AI sector is showing similar hype-driven behavior and urges founders to focus on realistic valuations, strong unit economics and a clear path to profitability.”

“The article focuses on the repeatability of K-Means, Ward, and DBSCAN.”

“The article doesn't contain a direct quote, but the core idea is that 'workflows are represented as tool compositions: curated sets of AI services aligned to a specific task or outcome.'”

“The article is an ArXiv publication, suggesting a pre-print research paper.”

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