“What if instead of manually firefighting every drift and miss, your agents could adapt themselves? Not replace engineers, but handle the continuous tuning that burns time without adding value.”

“ExcelでCopilotは実用的でないと感じてしまう背景には、まず操作が「自然言語で指示する」という新しいスタイルであるため、従来の関数やマクロに慣れた技術者ほど曖昧で非効率と誤解しやすいです。”

“Gemini 3.0 Pro Preview thought for over 4 minutes and still didn't give the correct move.”

“"GPT5.2 cannot deliver any useful result, argues back, wastes your time. GEMINI 3 delivers with no drama like a pro."”

“The article's content is summarized by the title, which suggests a critical analysis of the current trends and challenges in AI coding.”

“The author wants to use Slack data with AI for tasks like writing and research. They found existing Slack bots to be unsatisfactory due to issues like difficulty accessing older posts and potential enterprise subscription requirements.”

“MedKGI improves dialogue efficiency by 30% on average while maintaining state-of-the-art accuracy.”

“LoongFlow outperforms leading baselines (e.g., OpenEvolve, ShinkaEvolve) by up to 60% in evolutionary efficiency while discovering superior solutions.”

“After long sessions in ChatGPT, Claude, and Gemini, the biggest problem isn’t model quality, it’s navigation.”

“Dynamic incentives rule out persistent suppression and guarantee eventual transmission of all verifiable evidence along the path, even when bias reversals block static unraveling.”

“ColaVLA achieves state-of-the-art performance in both open-loop and closed-loop settings with favorable efficiency and robustness.”

“React keeps all conversation state in the JavaScript heap. When you scroll, it creates new DOM nodes but never properly garbage collects the old state. Classic memory leak.”

“The paper reports high Dice Similarity Coefficients (DSC) for whole tumor (WT), enhancing tumor (ET), and tumor core (TC) across multiple BraTS datasets, indicating improved segmentation accuracy.”

“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.”

“FUSCO achieves up to 3.84x and 2.01x speedups over NCCL and DeepEP (the state-of-the-art MoE communication library), respectively.”

“Two to four hours of OR time is lost every single day, not because of the surgeries themselves, but because of everything in between from manual scheduling and coordination chaos to guesswork about room”

“I’m still doing it the old-fashioned way - going back and forth between google scholar, with some help from chatGPT to speed up things”

“Two to four hours of OR time is lost every single day, not because of the surgeries themselves, but because of everything in between from manual scheduling and coordination chaos to guesswork about room”

“The article likely presents a novel scheduling algorithm or framework.”

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“Thinking tends to amplify assumptions.”

“The paper investigates the impact of learning rate decay on LLM pretraining using curriculum-based methods.”

“The article mentions running DeepSeek-OCR on an Nvidia Spark and using Claude Code.”

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“We explore the importance and failings of tokenization in large language models—including inefficient compression rates for under-resourced languages—and dig into byte-level modeling as an alternative.”

“The problem was there’s just no easy way to figure out what others have done in research, and load it into your brain. It’s one of the biggest bottlenecks for doing truly good, important research.”

“The article mentions the common stack used for RAG prototypes: Langchain/Llama Index + Weaviate/Pinecone + GPT3.5/GPT4. It also highlights the pain points of scaling such prototypes, specifically the difficulty in managing data pipelines and the limitations of naive chunking methods.”

“The article's context, Hacker News, suggests a technical audience.”

“Generic machine learning often struggles due to the lack of tailored data and domain expertise.”