“Before dismissing it as just another AI agent, let's explore GitLab's latest AI features.”

“Gemini is a monster. Play it here on mobile or desktop!”

“This article discusses the intersection of AI and human interaction, which is a fascinating area of study.”

“The article suggests focusing on core technological advancements and repurposing them.”

“The AI’s struggles to answer, while imperfect, are perceived as endearing, creating a feeling of wanting to help it.”

“Unfortunately, I do not have access to the article's content to provide a relevant quote.”

“So is there a place to get them back ? Can i find them these old chats ?”

“The article's focus on OpenAI's potential financial outlook, allows for strategic thinking about resource allocation and future development.”

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

“Let's discuss it!”

“Jimo AI encourages creators to embrace real experiences, transforming them into a driving force for AI evolution and creative expression.”

“With tools like ChatGPT and Gemini, creating such images is a snap!”

“We use these two premises to construct a taxonomy of survival stories, in which humanity survives into the far future.”

“OpenAI published only 151 cases but appears in 500 implementations (3.3x multiplier through Azure).”

“Keep creating and sharing, let Wan team see it.”

“Why視点(目的・背景):なぜこれが行われているのか？どんな課題・ニーズに応えているのか？”

“Assuming the linked article discusses the 'insecure evangelism' of LLM maximalists, a potential quote might address the potential over-reliance on LLMs or the dismissal of alternative approaches. I need to see the article to provide an accurate quote.”

“Article URL: https://github.com/finbarr/yolobox”

“plan modeを使うことで、いきなりコードを生成するのではなく、まず何をどう実装するかを整理してから作業に入れます。”

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

“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。”

“"The original project was brilliant but lacked usability and flexibility imho."”

“とはいえ、「これまで人間や従来の機械学習が担っていた泥臭い領域」を全てLLMで代替できるわけではなく、あくまでタスクによっ...”

“Manus's fix is stupidly simple — 3 markdown files: task_plan.md → track progress with checkboxes, notes.md → store research (not stuff context), deliverable.md → final output”

“I've been learning AI/ML for the past year and built these quizzes to test myself. I figured I'd share them here since they might help others too.”

“The paper comes with hundreds of references, so enough seeds and ideas to explore further.”

“Pay $10/month to stay a month ahead of the free copy!”

“Giselle is an AI app builder developed by ROUTE06.”

“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 encourages feedback and provides a link to the podcast.”

“What's your favorite non-coding use case for Claude Code? Is doing this set up actually worth it?”

“"AI-slop = generic frameworks, vague conclusions, unsupported claims, or statements that could apply anywhere without changing meaning."”

“This article positions 2025 as a "turbulent AI year".”

“"Something that is inherently probabilistic - LLM plus something that should be very deterministic - calculator, again, I welcome everyone to play with it - results are hilarious sometimes"”

“Share what you've created. Explain the technologies/concepts used. Discuss challenges you faced and how you overcame them. Ask for specific feedback or suggestions.”

“Why so much attention to artificial intelligence when so many are lacking in real or actual intelligence?”

“The code is a messy but works for my needs.”

“We are currently focused on building simulation engines for observing behavior in multi agent scenarios.”

“I have released the Unity MCP server I created!”

“Specializing a small model for a single task often yields better results than using a massive, general-purpose one.”

“Calls out gaps between what you say and what you do”

“Calls out gaps between what you say and what you do.”

“"but why are we not seeing any models? is it really that difficult? or is it purely because tokens are more interpretable?"”

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

“Agentic Tool-Use Loop Multi-step Deep Search Zero-Config Local RAG (chat with documents) Integrated Hugging Face Browser (No manual downloads) On-the-fly System Prompt Editing 100% Local Privacy(even the search) Global and chat memory”

“Summarize this chat so I can continue working in a new chat. Preserve all the context needed for the new chat to be able to understand what we're doing and why.”

“"Updated every morning at 7 AM. Listen while commuting!"”

“"unlikely to ever be fully solved."”

“When I think about designing an agent here, I’m less focused on responses and more on what components are actually required.”

“This article is the 25th article of the GitHub Dockyard Advent Calendar 2025🎄.”