“The article explores Bag of Words for vectorization.”

“Unfortunately, I lack the ability to extract quotes from the article as I cannot access the content of the linked URL.”

“I've created Web apps more than 6 times, and I've had the AI write a total of 100,000 lines of code, but the answer is No when asked if I have read all the code.”

“I’m especially looking for guidance on how to read papers effectively, how to identify which papers are important, and how researchers usually move from understanding prior work to defining their own contribution.”

“3 Pro responded it is yoghurt with granola, and commented it was hidden in the biography of a character of the roleplay.”

“SiFive has announced a partnership with NVIDIA to integrate NVIDIA’s NVLink Fusion interconnect technology into its forthcoming silicon platforms.”

“Researchers tested AI on remote freelance projects across fields like game development, data analysis, and video animation. It didn't go well.”

“While a direct quote isn't provided, the implied focus on structured outputs suggests a move towards higher reliability and easier integration of LLMs.”

“The real challenge for leaders is what happens next and whether they know how to use the space it creates.”

“From a basic capability standpoint, ChatGPT Translate already possesses most of the features that mainstream online translation services should have.”

“But now it looks like we’re effectively getting up to 400 prompts per day, which could be huge, especially for image generation.”

“Claude Code recognizes only the `.claude/` directory; there are no alternative directory names.”

“Editor’s note: This article is a part of our series on visualizing the foundations of machine learning.”

“This article summarizes why I decided to develop a learning support app, and how I'm designing it.”

““Soon, the most valuable skill won’t be coding — it will be communicating with AI.””

“In my testing, Gemini in Gmail misses key details, delivers misleading summaries, and still cannot manage message flow the way I need.”

“When you start a Cowork session, […]”

“This series dissects the inner workings of LLMs, from full scratch implementations with Python and NumPy, to cutting-edge techniques used in Qwen-32B class models.”

“The article begins by stating the importance of understanding data drift and concept drift to maintain model performance in MLOps.”

“One of the biggest differences between Claude Code, GitHub Copilot and Codex is that 'the commands that Codex generates and executes are, in principle, operated under the constraints of sandbox_mode.'”

““This, the bottleneck is completely 'human (myself)'.””

“This information is not available from the given data.”

“本研究の目的は、主観的な情報によって曖昧になりやすい落とし物検索において、生成AIを用いた質問生成と探索設計によって、人間の主観的な認識のズレを前提とした特定手法が成立するかを検討することである。”

“Enterprises are sitting on vast quantities of unstructured data, from call records and video footage to customer complaint histories and supply chain signals.”

“The management of 'what to feed the AI (context)' is as serious as the 'memory management' of the past, and it is an area where the skills of engineers are tested.”

“Now the interface is just language. Instead of learning how to do something, you describe what you want.”

“"Notion AIは単なるチャットボットではない。"”

“"Claude is genuinely impressive, but the gap between 'looks right' and 'actually right' is bigger than I expected."”

“Let's graduate from 'throwing it at AI somehow'.”

“N/A (Source is a Reddit post with no direct quotes)”

“So by merging LoRA to full model, it's possible to quantize the merged model and have a Q8_0 GGUF FLUX.2 [dev] Turbo that uses less memory and keeps its high precision.”

“Unable to extract a direct quote from the provided context.”

“Article URL: https://bostondynamics.com/blog/boston-dynamics-google-deepmind-form-new-ai-partnership/”

“the ik_llama.cpp project (a performance-optimized fork of llama.cpp) achieved a breakthrough in local LLM inference for multi-GPU configurations, delivering a massive performance leap — not just a marginal gain, but a 3x to 4x speed improvement.”

“何をもって「うまく使えている」と言えるのか分からない”

“Recently, leveraging the complementary characteristics of SAR and MSI data through a multimodal approach has emerged as a promising strategy for advancing water extent mapping using deep learning models.”

“"AI gives faster answers. But I’ve noticed it also raises new questions: - Can I trust this? - Do I need to verify? - Who’s accountable if it’s wrong?"”

“"it's not about this, it's about that, "we faced this, we faced that and we faced this" and i hate when he makes comfort stuff that makes me sick."”

“"Which layer of the problem are you trying to solve?"”

“奥特曼正骑着独轮车，手里抛接着越来越多的球 (Altman is riding a unicycle, juggling more and more balls).”

“Kaggle入門2(Pandasライブラリの使い方 6.名前の変更と結合) 最終回”

“今回は、単発の実装ではなく「いろいろなアプリに横展できる」ことを最優先にして、オープンソース的に再利用しやすい構成にしています。”

“When an AI hits an instruction boundary, it doesn’t look around. It doesn’t infer intent. It doesn’t decide whether proceeding “would probably be fine.” If the instruction ends and no permission is granted, it stops. There is no judgment layer unless one is explicitly built and authorized.”

“I can't seem to figure out how to view a list of my canvas docs. I have them scattered in multiple chats under multiple projects. I don't want to have to go through each chat to find what I'm looking for. I asked the AI, but he couldn't bring up all of them.”

“"Expectation is easy. Articulation is the skill." The difference between frustration and leverage is learning how to externalize intent.”

“Claude seems to favor calm, cooperative energy over adversarial prompts, even though I know this is really about prompt framing and cooperative context.”

“The core message is that understanding the six features becomes easier by organizing them around two axes: 'when they are loaded' and 'who operates them'.”

“FlakeStorm takes a "golden prompt" (known good input) and generates semantic mutations across 8 categories: Paraphrase, Noise, Tone Shift, Prompt Injection.”

“I'm looking for help with creating a small database and reservation system for a hotel with a few rooms and employees... Given that the amount of data and complexity needed for this project is minimal by LLM standards, I don’t think I need a heavyweight giga-CHAD.”

“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.”