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Introduction TL;DR Google has unveiled CC (Collated Copy), an experimental Gemini-powered AI agent through Google Labs[1]. The tool sends a daily “Your Day Ahead” email that integrates Gmail, Google Calendar, and Google Drive to surface tasks, meeting changes, and actionable insights[1][4]. Unlike traditional chatbots, CC learns user preferences and suggests next steps via email replies[1][7]. Currently available as early access to Gemini Pro and Ultra subscribers in the US and Canada, CC represents Google’s bet on proactive, agentic AI becoming the default interface for productivity[7]. ...

Introduction TL;DR OpenAI가 2025년 12월 16일 새 플래그십 이미지 생성 모델인 GPT Image 1.5를 공식 출시했다. 이 모델은 기존 대비 4배 빠른 이미지 생성 속도, 정밀한 편집 기능(조명·구성·얼굴 표정 보존), 그리고 향상된 텍스트 렌더링 성능을 특징으로 한다. 모든 ChatGPT 사용자와 API 개발자에게 즉시 제공되며, 전용 “이미지 스튜디오” 인터페이스와 함께 제공된다. 이 업데이트는 Google의 Gemini 3 Pro Image(Nano Banana Pro)와의 경쟁 심화, 그리고 창작자·기업의 AI 이미지 생성 활용 확대를 가속할 것으로 예상된다. ...

Introduction Meta has announced a significant v21 software update to its Ray-Ban Meta and Oakley Meta HSTN smart glasses, rolling out starting December 16, 2025 to early access program participants in the U.S. and Canada. The update introduces two major features: Conversation Focus, which amplifies the voice of the person you’re talking to in noisy environments, and Spotify integration, which generates personalized playlists based on what you’re looking at. These capabilities represent a crucial step in the maturation of wearable AI, moving from experimental features to practical daily-life applications that leverage multimodal processing.[1][2] ...

Introduction TL;DR Mermaid is a JavaScript-based diagramming tool that renders diagrams from Markdown-inspired text syntax in the browser. You declare diagrams in Markdown code blocks using the mermaid language identifier, and GitHub (since 2022), GitLab (13.0+), Notion, and Obsidian automatically render them. Mermaid supports 10+ diagram types including flowcharts, sequence diagrams, Gantt charts, ER diagrams, and class diagrams, enabling version-controlled, text-based documentation without GUI tools. Mermaid eliminates context switching between documentation and diagram editors. Unlike Visio or Lucidchart, your diagrams live in the same repository as your code, are reviewable via Git diff, and can be collaboratively edited like any Markdown file. ...

Introduction TL;DR Merriam-Webster designated “slop”—defined as “digital content of low quality that is produced usually in quantity by means of artificial intelligence”—as its 2025 Word of the Year, announced on December 15, 2025[1][4]. The selection captures a pivotal shift in how society perceives artificial intelligence: from fear-driven discourse to critical mockery of AI’s creative inadequacies. The widespread proliferation of low-quality AI-generated content across the internet sparked broader social discourse around AI ethics, content verification, and digital trust. Notably, other major dictionaries also selected AI-related terms for 2025—Oxford chose “rage bait,” Macquarie selected “AI slop,” and Cambridge added “slop” alongside its primary selection of “parasocial”—signaling a global recognition of this phenomenon’s cultural significance[21][24]. ...

Introduction TL;DR Nvidia unveiled the Nemotron 3 family of open-source large language models on December 15, 2025, comprising Nano (30B), Super (~100B), and Ultra (~500B) variants. Built on a hybrid Mamba-Transformer mixture-of-experts (MoE) architecture, Nemotron 3 Nano achieves 3.3x higher inference throughput than Qwen3-30B while maintaining equivalent or superior accuracy, supporting a 1M-token context window. This release positions Nvidia as a leading provider of open-source AI solutions in the face of Chinese models capturing nearly 30% of global AI token usage. The launch reinforces Nvidia’s dual-layer strategy: hardware dominance through GPU supply and software ecosystem control through optimized open models. ...

Introduction TL;DR: The Trump administration officially launched the “U.S. Tech Force” on December 15, 2025, aiming to recruit approximately 1,000 early-career technologists for two-year federal positions with annual salaries ranging from $150,000 to $200,000. This initiative represents a significant shift in American government’s approach to artificial intelligence, with partnerships from over 25 leading technology companies including Amazon Web Services, Microsoft, Apple, Google, and NVIDIA. The program addresses a critical gap: federal government’s early-career workforce comprises only 7% compared to 22% in the private sector, and signals Washington’s commitment to AI leadership amid U.S.-China competition. ...

Introduction TL;DR Microsoft CEO Satya Nadella recently declared on the “MD Meets” podcast that “having IQ without emotional intelligence (EQ) is just a waste of IQ.” As artificial intelligence assumes technical and analytical tasks across organizations, the defining value of leaders is shifting from cognitive prowess to emotional connection and human collaboration. Research shows that organizations with emotionally intelligent leadership have 25% higher success rates in AI implementation, while teams led by emotionally intelligent managers show 37% greater productivity gains after AI adoption. In the AI era, empathy, self-awareness, and social skill have become non-negotiable leadership capabilities—not soft extras, but hard competitive advantages. ...

Introduction TL;DR: Purdue University’s Board of Trustees approved on December 12, 2025, a mandatory “AI working competency” requirement for all undergraduates, effective for students entering in Fall 2026. Rather than adding credit hours, the university will embed AI competency across existing programs with discipline-specific standards. This marks a pivotal moment when AI literacy transitions from elective to essential, reflecting broader shifts in higher education as institutions recognize that basic AI proficiency is now foundational for any graduate entering the workforce. ...

Introduction TL;DR Global CEOs are doubling down on artificial intelligence investments despite sobering reality: only 25% of AI initiatives have delivered expected return on investment (ROI) so far. Yet 85% expect positive returns by 2027, and 69% are allocating 10–20% of total budgets to AI initiatives in 2025-2026. This paradox—heavy investment amid limited current returns—reflects three forces: (1) AI adoption remains in early stages requiring long-term vision; (2) peer pressure and competitive necessity create a “can’t be left behind” imperative; (3) early winners are already demonstrating measurable value. The phenomenon offers critical lessons for enterprise leaders, technologists, and policymakers as the AI market undergoes its promised inflection. ...