“I’m trying to get a better understanding of where the AI industry really is today (and the future), not the hype, not the marketing buzz.”

“The article is based on conversations with Gemini, offering a unique collaborative approach to learning.”

“That's why there's a task AI simply can't do: accepting judgments that might be disliked.”

“The article's key takeaway is the discussion of adding human intention to AI data.”

“The latency is getting low enough that it actually feels like a (very stiff) coworker.”

“A broader and more nuanced conversation can help us capitalize on benefits while minimizing risks.”

“Felix Riesberg from Anthropic shared a list of new Claude Cowork improvements...”

“Enthusiasts are sharing their configurations and experiences, fostering a collaborative environment for AI exploration.”

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“Enthusiasm from the r/ChatGPT community is a great indicator of innovation.”

“As the website turns 25, it faces myriad challenges...”

“Demis Hassabis stated that Chinese AI models might only be 'a few months' behind those in the West.”

“Wikipedia is celebrating its 25th anniversary with a year-long initiative.”

“In 5 to 10 years, AI will nurture young professionals, and humans and AI will evolve together.”

“See the exact changes Claude made without leaving the app.”

“OpenAI is planning to bring over more researchers from Thinking Machines Lab after nabbing two cofounders, a source familiar with the situation says.”

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

“Wikipedia has overcome its growing pains, but AI is now the biggest threat to its long-term survival.”

““Today, we are announcing Amazon, Meta, Microsoft, Mistral AI, and Perplexity for the first time as they join our roster of partners…”,”

“These findings strongly support a human-in-the-loop (HITL) workflow in which the on-premise LLM serves as a collaborative tool, not a full replacement.”

“A specific quote cannot be provided as the article's content is missing. This space is left blank.”

“n8n (self-hosted) to create an AI agent where multiple roles (PM / Engineer / QA / User Representative) discuss.”

“This approach shifts the focus from directly instructing to collaboratively exploring the knowledge space, ultimately leading to higher quality outputs.”

“Article URL: https://github.com/haykgrigo3/TimeCapsuleLLM”

“みなさん、開発してますかーー！！”

“「仕様書なんて要らないのでは?」と考えるエンジニアも多いことでしょう。”

“本稿では、その設計思想を 思想・数式・コード・最小検証モデル のレベルまで落とし込み、第三者（特にエンジニア）が再現・検証・反証できる形で固定することを目的とします。”

“Be innovative, forward-thinking, and think outside the box. Act as a collaborative thinking partner, not a generic digital assistant.”

“In this tutorial, we build an advanced yet practical multi-agent system using OpenAI Swarm that runs in Colab. We demonstrate how we can orchestrate specialized agents, such as a triage agent, an SRE agent, a communications agent, and a critic, to collaboratively handle a real-world production incident scenario.”

“AIを「整理役・編集者・パートナー」として位置づけ、docs を中心とした開発記録の考え方を紹介しました。”

“There is no one correct way to use Claude Code: we intentionally build it in a way that you can use it, customize it and hack it however you like.”

“I’m looking for 2–3 highly committed people who are genuinely serious about becoming Machine Learning Engineers... If you’re disciplined, willing to put in real effort, and want to grow alongside a small group of equally driven people, this might be a good fit.”

“The model achieves 12% median relative error using discovered semantic features from multimodal listing data, substantially outperforming a GPT-5 baseline (38% error).”

“Structured reflection supported greater organization and steadier progress.”

“The framework delivers a 3x increase in task processing speed over single-agent baselines, 98.7% structural/style consistency in writing, and a 74.6% test pass rate in coding.”

“Analyzing 1.4 million customer transactions across seven markets, our approach reduces false positive and false negative rates to 4.64% and 11.07%, substantially outperforming single-institution models. The framework prevents 79.25% of potential losses versus 49.41% under fixed-rule policies.”

“The construction makes it possible to design infinite families of graphs on which exact and stable completion is possible for every fixed rank matrix through the sum-of-squares hierarchy.”

“NBODY6++GPU and NBODY7 entered the scene, and also recent new competitors, such as PETAR or BIFROST.”

“SCP provides a universal specification for describing and invoking scientific resources, spanning software tools, models, datasets, and physical instruments.”

“VisU autonomously orchestrates a four-stage workflow comprising Preprocessing, Recursive Channel Discovery, Important-Motion Identification, and Validation/Summary.”

“The paper introduces the Context-Adaptive Behavior (CAB) Framework, which reveals how behavioral expectations shift along two empirically-derived axes: the Time Horizon and the Type of Work.”

“CoLog achieves a mean precision of 99.63%, a mean recall of 99.59%, and a mean F1 score of 99.61% across seven benchmark datasets.”

“The paper introduces the Heterogeneous Collaborative Multi-Expert Reinforcement Learning (CME-CAD) paradigm, a novel training paradigm for CAD code generation.”

“Splitwise reduces end-to-end latency by 1.4x-2.8x and cuts energy consumption by up to 41% compared with existing partitioners.”

“I mostly interested in a image, will appreciate anyone who willing to share their prompts.”

“PLaMo 3 NICT 31B Base is a 31B model pre-trained on English and Japanese datasets, developed by Preferred Networks, Inc. collaborative with National Institute of Information and Communications Technology, NICT.”

“"I am working on a financial analysis rag bot it is like user can upload a financial report and on that they can ask any question regarding to that . I am facing issues so if anyone has worked on same problem or has came across a repo like this kindly DM pls help we can make this project together"”

“Reinforcement Networks unify hierarchical, modular, and graph-structured views of MARL, opening a principled path toward designing and training complex multi-agent systems.”

“Developing with your favorite character made it fun and increased productivity.”

“What types of failures do you encounter most often in your training workflows? What information do you currently collect to debug these? What's missing? What do you wish you could see when things break?”