“This article leverages publicly available information to provide a vision of the future.”

“Testing Claude, GPT, Gemini, and GLM on the 2026 Japanese university entrance exam.”

“The article aims to identify key considerations for corporate law and risk management, avoiding negativity, and presenting a calm analysis.”

“I am unable to provide a quote as I do not have access to the article's content.”

“"Cowork is designed to make using Claude for new work as simple as possible. You don’t need to keep manually providing context or converting Claude’s outputs into the right format," the company said.”

“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.”

“Deloitte is responding to the burgeoning era of AI regulation by automating regulatory investigations.”

“The article explains the paper's core concept: understanding forgetting as a decrease in accessibility, and its application in LLM-based access control.”

“I am not looking for hype or trends, just honest advice from people who are actually working in these roles.”

“The article aims to clarify the boundary between AI and non-AI, using the example of why an air conditioner might be considered AI, while a calculator isn't.”

“X moves to block Grok image generation after UK, US, and global probes into non-consensual sexualised deepfakes involving real people.”

“N/A - The article's emptiness prevents quoting.”

“N/A - The provided text doesn't contain a relevant quote.”

“I can't provide a quote from the content because there is no content to quote, as the original article's content is not provided, only the title and source.”

“What kinds of ML-related roles are likely to grow vs get compressed?”

“The article is a summary and technical extract from a blog post at https://agenticai-flow.com/posts/agentic-rag-advanced-retrieval/”

“I'm aiming for a position that offers more exposure to MLOps than experimentation with models. Something platform-level.”

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

“The goal was simple: make a large, messy corpus of PDFs and text files immediately searchable in a precise way, without relying on keyword search or bloated prompts.”

“When I first started reading machine learning research papers, I honestly thought something was wrong with me.”

“With rising DRAM costs and chattier chatbots, prices are only going higher.”

“The article's key takeaway is the warning about engineers potentially losing understanding of their own code's mechanics, generated by AI.”

“The article's key argument against anti-AI narratives will provide context for its assessment.”

“These modes allow AI to guide users through a step-by-step understanding by providing hints instead of directly providing answers.”

“However, here lies a fatal flaw. The driver could not have avoided it. The programmer did not predict that specific situation (and that's why they used AI in the first place). The manufacturer had no manufacturing defects.”

“2026年1月現在利用できるアプリは数十個程度で、誰もが知っているような欧米系SaaSのみといった感じです。”

“If you have ever taken a self-driving Uber through downtown LA, you might recognise the strange sense of uncertainty that settles in when there is no driver and no conversation, just a quiet car making assumptions about the world around it.”

“Nvidia is now requiring its customers in China to pay upfront in full for its H200 AI chips even as approval stateside and from Beijing remains uncertain.”

“「この感動...」 (This emotion...)”

“I’m a college student currently starting my Machine Learning journey using Python, and like many beginners, I initially felt overwhelmed by how much there is to learn and the number of resources available.”

“I am really scared I think swe is done”

“Are there any venues which are not in generic AI but accept NLP-focused work mostly?”

“Although the Spark cluster can scale, LightGBM itself remains single-node, which appears to be a limitation of SynapseML at the moment (there seems to be an open issue for multi-node support).”

“Our findings reveal that the best detector is highly dependant on the total number of faulty examples in the training dataset, with additional healthy examples offering insignificant benefits in most cases.”

“"Objective speaking, for a long time, adding small print for annotation on promotional materials such as posters and PPTs has indeed been a common practice in the industry. We previously considered more about legal compliance, because we had to comply with the advertising law, and indeed some of it ignored everyone's feelings, resulting in such a result."”

“How much does the interview focus on novel research ideas vs. implementation/systems knowledge?”

“Last January, I posted "3 predictions for what will happen in the LLM (Large Language Model) industry in 2025," and thanks to you, many people viewed it.”

“Long AI chats (ChatGPT, Claude, Gemini) get hard to scroll and reuse. I built a small Chrome extension that helps you navigate long conversations, jump between prompts, and export full chats (Markdown, PDF, JSON, text).”

“ML Compass produces recommendations -- and deployment-aware leaderboards based on predicted deployment value under constraints -- that can differ materially from capability-only rankings, and clarifies how trade-offs between capability, cost, and safety shape optimal model choice.”

“Welcome to this week's entering & transitioning thread! This thread is for any questions about getting started, studying, or transitioning into the data science field.”

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

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

“How do you currently discover and track new research?”

“Despite billions in investment, startups say their androids mostly aren't useful for industrial or domestic work yet.”

“"Perfect driving"”

“Schrödinger AI demonstrates: (a) emergent semantic manifolds that reflect human-conceived class relations without explicit supervision; (b) dynamic reasoning that adapts to changing environments, including maze navigation with real-time potential-field perturbations; and (c) exact operator generalization on modular arithmetic tasks, where the system learns group actions and composes them across sequences far beyond training length.”

“"acceptance becoming increasingly lottery-like."”

“Your screen data is never stored or used to train models.”

“Python is a must. Around 70–80% of AI ML job postings expect solid Python skills, so there is no way around it.”

“Doesn’t it become unethical to own an intelligent or sentient being and limit it in its freedom?”