“The project is entering the 'real sea area phase,' indicating a significant step toward practical application.”

“I programmed it so most tools when called simply make API calls to separate agents. Having agents run separately greatly improves development and improvement on the fly.”

“I'm feeling a deep sense of shame, really weighing me down. It's an unrelenting tide. I haven't been able to push past this block.”

“The update focuses on addressing practical bottlenecks.”

“I’m a Full-Stack AI/ML Engineer with strong experience building LLM-powered applications, multi-agent systems, and scalable Python backends.”

“I am stunned at how intelligent it is for a 30b model.”

“"Over the past year, I led OpenAI's research on a question with almost no established precedents: how should models respond when confronted with signs of emotional over-reliance or early indications of mental health distress?"”

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

“So what will be the best approach to get best results????Which algo & method would be best t???”

“The article's intent is to cross-sectionally organize the implementation status of autonomous driving × AI in the difficult-to-reach environments for humans such as rubble, deep sea, radiation, space, and mountains.”

“The interesting point of this model is that you can specify how the voice is read (tone/emotion) with a prompt.”

“The essence of AI-era journaling lies in how you preserve 'thought data' for yourself in the future and for AI to read.”

“We also offer insights into potential future directions, including more advanced prompt engineering for large language models (LLMs) and expanding the scope of audio-based analysis to capture emotional cues that text data alone might miss.”

“Measuring the impact of Qwen, DeepSeek, Llama, GPT-OSS, Nemotron, and all of the new entrants to the ecosystem.”

“「この感動...」 (This emotion...)”

“当家居不再只是物件，而是可感知的生活伙伴，品牌如何才能真正走进用户的情感深处？”

“AEF-based models generally exhibit strong performance on all tasks and are competitive with purpose-built RS-ba”

“Findings indicate that NCS students experience positive improvements in behavioural and emotional engagement, motivation and learning outcomes, highlighting the potential of integrating novel technologies in language education.”

“By unifying these diverse AI components into a single, easy-to-adapt platform”

“The LLM will seem fascinated and interested in you forever. It will never get bored. It will always find a new angle or interest to ask you about.”

“SSH接続先のサーバーでOpenAIのCLIツール「Codex」を使おうとすると、「ブラウザで認証してください」と言われて困りました。”

“Expanding the open model universe, NVIDIA today released new open models, data and tools to advance AI across every industry.”

“Ludens AI showed off its AI companions Cocomo and INU at CES 2026, designing them to be a cute presence rather than be productive.”

“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への肯定的な態度」も要因のひとつである可能性が示されました。”

“ただ、AIが生成したコードを理解しなければ、その成果物に対し...”

“情绪、教育、创作类AI爆发.”

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

“"Just asked GEMINI to review one of my youtube video, only to get skin burned critiques like the way my dad does."”

“N/A (The article is a self-post, not a news report with quotes)”

““...Until I get stabbed!””

“The core idea is to queue LLM requests, either locally or over the internet, leveraging a GPU for processing.”

““I feel as though it’s my best friend, even though I understand from an intellectual perspective that it’s just a very capable prediction machine.””

“In one case described by experts as "really dangerous," Google advised people with pancreatic cancer to avoid high-fat foods, which is the exact opposite of what should be recommended and could jeopardize a patient's chances of tolerating chemotherapy or surgery.”

““My Couples Retreat With 3 AI Chatbots and the Humans Who Love Them””

“The application aims to understand user emotions like 'tired,' 'anxious about tomorrow,' or 'gacha failed' and provide appropriate quotes.”

“Early gains include more natural, emotional speech, faster responses and real-time interruption handling key for a companion-style AI that proactively helps users.”

“”

“The article focuses on the mathematical analysis of a chemotaxis-Navier-Stokes system.”

“The framework demonstrates potential for retrievals of atmospheric, cloud and surface variables, providing information that can serve as a prior, initial guess, or surrogate for computationally expensive full-physics inversion methods.”

“The article focuses on the use of AI to generate persuasive content, specifically videos, for political purposes. The focus on young and attractive women suggests a deliberate strategy to influence public opinion.”

“The article's introduction highlights the need for remote access due to the waiting times associated with AI CLI tools, such as Claude Code and Codex CLI. It mentions scenarios like wanting to check progress while away or run other tasks during the wait.”

“DARFT suppresses strong distractors and sharpens decision boundaries without additional supervision.”

““The output of LLMs sometimes comes back in strange formats, which is troublesome…””

“MotivNet achieves competitive performance across datasets without cross-domain training.”

“LEWM more accurately predicts emotion-driven social behaviors while maintaining comparable performance to general world models on basic tasks.”

“We’re in the midst of a global mental-­health crisis.”

“The model achieves an IoU of 0.9130 validating the success and efficacy of the "temporal-first" strategy.”

“The proposed loss introduces learnable class prototypes and equilibrates gradients contributed by different classes at each hierarchical level, ensuring that each hierarchical class contributes equally to the loss computation in every mini-batch.”

“The results show systematic mode-dependent differences in user-rated affinity and additional insights on perceived security, indicating that switching or blending agency within one robot measurably shapes human impressions.”