“About 40% of today’s jobs did not exist 85 years ago, suggesting new roles may emerge even as old ones fade.”

“By automating the creation of consistent, high-quality illustrations, the English Visualizer solves a common problem for language app developers.”

“The interesting part wasn't that it succeeded - it was watching it work through problems autonomously.”

“The series aims to resolve questions like, 'I know about AI superficially, but I don't really understand how it works,' and 'I often hear that data is important for AI, but I don't know why.'”

“This article is a setup memo for those who are beginners in programming and struggling with Python environment setup.”

“File reads cast spells. Tool calls fire projectiles. Errors spawn enemies that hit Clawd (he recovers! don't worry!), subagents spawn mini clawds.”

“This guide is for those who understand Python basics, want to use GPUs with PyTorch/TensorFlow, and have struggled with CUDA installation.”

“This departure highlights the constant flux and evolution of the AI landscape.”

“Diana Intelligence Corp., which offers HR-as-a-service for businesses using artificial intelligence, today announced what it says is a breakthrough in human resources assistance with an agentic AI onboarding system.”

“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.”

“The article's aim is to help readers understand the reasons behind NVIDIA's dominance in the local AI environment, covering the CUDA ecosystem.”

“By guiding LLMs with case-augmented reasoning instead of extensive code-like safety rules, we avoid rigid adherence to narrowly enumerated rules and enable broader adaptability.”

“What if instead of manually firefighting every drift and miss, your agents could adapt themselves? Not replace engineers, but handle the continuous tuning that burns time without adding value.”

“Machine learning practitioners encounter three persistent challenges that can undermine model performance: overfitting, class imbalance, and feature scaling issues.”

“Given the source is a Reddit post, a specific quote cannot be identified. This highlights the preliminary and often unvetted nature of information dissemination in such channels.”

“The article's content is unavailable without the original URL and comments.”

“"AI is saying it, so it's correct."”

“For enterprise leaders, deploying AI is less a technical hurdle than a complex exercise in change management.”

“Is this actually possible, or would the sentences just be generated on the spot?”

“The author notes that evaluations of tools and LLMs often differ significantly between users, emphasizing the influence of individual prompting styles, technical expertise, and project scope.”

“Modern LLMs have extremely high versatility. However, the default 'polite and harmless assistant' UX often becomes noise in accelerating the thinking of professionals.”

“The article begins by stating the common misconception that LLMs like ChatGPT and Claude can perform highly accurate predictions using Excel files, before noting the fundamental limits of the model.”

“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.'”

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

“A quote from the content is needed.”

“AI is not your 'smart friend'.”

“I often have Claude Code or Codex look at the zzz line of xxx.md, but it was a bit cumbersome to check the target line and filename on NeoVim and paste them into the console.”

“The article discusses that AI-generated characters are often treated as a single image or post, leading to issues with tracking modifications, derivative works, and licensing.”

“日報が「作業ログ」や「ないせい（外部要因）」で止まる日は、壁打ち相手がいない日が多い”

“Integrating AI into code review workflows allows engineering leaders to detect systemic risks that often evade human detection at scale.”

“N/A (Article abstract only)”

“"悪意あるプロンプトでシステムプロンプトが漏洩した」「チャットボットが誤った情報を回答してしまった" (Malicious prompts leaked system prompts, and chatbots answered incorrect information.)”

“While security for text-based LLMs is an active area of research, existing solutions are often insufficient to address the unique threats for the embodied robotic agents, where malicious outputs manifest not merely as harmful text but as dangerous physical actions.”

“Focus will be the meta-skill of the future.”

“Most ChatGPT users don't know this, but when the model searches the web for current information or runs Python code to analyze data, it's using tool calling.”

“"CNN（畳み込みニューラルネットワーク）は理解できたが、RNN（リカレントニューラルネットワーク）がスッと理解できない"”

“適切に設定しないとMCPを1個追加するたびに、チーム全員のリクエストコストが上がり、ツール定義の読み込みだけで数万トークンに達することも。”

“Gemini API のマルチモーダル機能を使った実装で、parts配列の構造について複数箇所でハマりました。”

“2026年、AIエージェントはベンチャーだけでなく、大企業でも活用が進んでくることが想定されます。”

“世の中の「AI セキュリティガイドライン」の多くは、自社開発企業や、単一の組織内での運用を前提としています。(Most "AI security guidelines" in the world are based on the premise of in-house development companies or operation within a single organization.)”

“Is it a better investment of time to study specifically for the certification, or should I ignore the exam and focus entirely on building projects?”

“Click to view original text>”

“"There's no real discussion here, it's just a bunch of people coming in to insult others."”

“The author's examples of desired AI-generated content (new Star Trek episodes, a Morrowind remaster, etc.) illustrate the creative aspirations that are thwarted by copyright.”

“I am relatively new to coding, and only working on relatively small projects... Using the console/powershell etc for pretty much anything just intimidates me... So generally I just upload all my code to txt files, and then to a project, and this seems to work well enough. Was thinking of maybe setting up a GitHub instead and using that integration. But am I missing out? Should I bit the bullet and embrace Claude Code?”

“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.”

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

“Claude often ignores CLAUDE.md. IMPORTANT: this context may or may not be relevant to your tasks. You should not respond to this context unless it is highly relevant to your task.”

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