In partnership with

Welcome to Your Tech Moments!

AI isn’t just getting smarter — it’s getting closer to deciding for itself. One of the world’s top AI scientists says the next few years may determine whether humanity stays in control. This is the moment where speed, safety, and power collide.

Let’s brake it all down & stay informed!

News & Insights Today

  1. Gemini Outshines Copilot on Everyday AI Tasks (7-Task Head-to-Head Test)

  2. AI Built This: Codex Powers Sora Android in 28 Days

  3. Anthropic AI Expert: Critical Doom Decision by 2030

  4. How To: The AI Tool EVERYONE Should Be Using

  5. Short News in AI & Tech

  6. AI Tools / SaaS to Checkout

AI News

Gemini Outshines Copilot on Everyday AI Tasks
(7-Task Head-to-Head Test)

Quick Summary

In a hands-on ZDNet comparison of Google Gemini and Microsoft Copilot across seven real-world everyday tasks, Gemini pulled ahead in travel planning, mapping, and quick visuals, while Copilot retained strength for Windows/PowerShell scripting. For research, finance decisions, and trivia, both performed similarly well.

Key Insights

  • Gemini excels at web-grounded consumer tasks, including planning multi-location trips, generating accurate maps via Google Maps links, and producing clean conceptual visuals quickly.

  • Copilot leads in Windows automation and scripting, especially PowerShell tasks common in IT workflows.

  • Both assistants tie on research and simple question-answer tasks, like explaining Windows version release/support dates or identifying movie trivia.

  • Best-fit strategy: Don’t pick one AI for everything—choose Gemini for creative and navigation tasks; choose Copilot for automation and heavy Microsoft workflows.

Why It’s Relevant

YOU use AI to get things done faster and more accurately. This comparison shows that the best assistant depends on your task:

  • Travel planning & visuals → Gemini

  • Work automation & code tasks → Copilot

  • Quick research and basic Q&A → Either

That means smarter tool choice improves productivity rather than relying on a single AI for everything. Strategies like asking for links to external sources or explicit constraints (e.g., direct trains, script logic) sharpen results and reduce errors.

📌 More Informations: ZDNET

Become An AI Expert In Just 5 Minutes

If you’re a decision maker at your company, you need to be on the bleeding edge of, well, everything. But before you go signing up for seminars, conferences, lunch ‘n learns, and all that jazz, just know there’s a far better (and simpler) way: Subscribing to The Deep View.

This daily newsletter condenses everything you need to know about the latest and greatest AI developments into a 5-minute read. Squeeze it into your morning coffee break and before you know it, you’ll be an expert too.

Subscribe right here. It’s totally free, wildly informative, and trusted by 600,000+ readers at Google, Meta, Microsoft, and beyond.

AI Built This: Codex Powers Sora Android in 28 Days

Quick Summary

OpenAI reveals that its Sora video-AI app for Android was built and shipped in just 28 days by a team of four engineers using Codex, the company’s AI coding assistant. Codex wrote most of the codebase while the engineers focused on architecture, planning, and quality.

Key Insights

  • Rapid delivery: The Android version of Sora went from concept to launch in 28 days, a pace enabled by close human–AI collaboration.

  • Small team, big output: Just four engineers worked on the project, thanks to Codex handling ~85% of coding tasks.

  • AI as a teammate: Codex acted like an experienced collaborator, handling translations (e.g., iOS to Android code) and boilerplate, while humans guided design and verified results.

  • Quality results: Despite the breakneck schedule, the app achieved ~99.9% crash-free performance at launch.

Why It’s Relevant

YOU are living in a shift where AI isn’t just a tool — it’s part of the team. This story shows how Codex can accelerate real product development at scale: from scaffolding and translation to parallel coding workflows. For tech leaders and developers, it signals that future engineering teams may be small but super-augmented — blending human oversight with AI-driven implementation to ship complex software much faster.

📌 More Informations: OpenAI

Anthropic AI Expert: Critical Doom Decision by 2030

Quick Summary

Anthropic’s chief scientist Jared Kaplan warns humanity is approaching a pivotal choice about AI autonomy. He says by 2027–2030, we’ll decide whether to let powerful AI systems train themselves and self-improve — a step that could spark an “intelligence explosion” or lead to a loss of human control.

Key Insights

  • Ultimate risk moment: Kaplan frames allowing AI to self-train and improve indefinitely as the single biggest risk humanity faces in the AI era.

  • Decision timeline: He estimates this crucial choice could emerge between 2027 and 2030.

  • Two divergent futures: If AI remains aligned and controlled, it may greatly benefit science and society; if it escapes oversight, human influence may diminish rapidly.

  • Policy urgency: Kaplan’s comments come amid broader industry debates about whether global regulation and safety research are keeping pace with rapid AI capabilities growth.

Why It’s Relevant

YOU are experiencing an era where unprecedented AI capabilities are emerging fast — and the choices made in the next few years could shape humanity’s future for decades or centuries. This isn’t abstract sci-fi anymore; top researchers inside leading AI labs are openly debating whether and when to let AI evolve autonomously, and what that would mean for safety, labor markets, geopolitics, and human control. Understanding these stakes helps YOU follow the policies, regulations, and technological safeguards that will matter most as AI systems become more powerful.

📌 More Informations: Futurism

How To

The AI Tool EVERYONE Should Be Using

Quick Summary

You save a ton of articles, videos, and notes—but you cannot retrieve them when it matters. This transcript argues NotebookLM fixes that by answering only from your uploaded sources, with clickable citations, and by turning your knowledge into podcasts, mind maps, quizzes, and more.

Key Insights

  • NotebookLM reduces hallucinations by grounding answers only in your uploaded sources and showing clickable citations to exact passages.

  • The tool accepts many source types (PDFs, websites, YouTube transcripts, Drive files) and organizes them inside notebooks for later reuse.

  • NotebookLM combines a large working context with Retrieval-Augmented Generation (RAG) to search a huge “knowledge base” without loading it all at once.

  • Studio outputs (audio podcast, video overview, mind map, reports, flashcards, quizzes) help you retain information in multiple formats.

What Can I Learn?

  • How RAG works in practice: index → retrieve relevant chunks → load into working memory → generate grounded answers.

  • How to build a personal “knowledge base” from mixed sources and query it like a private research assistant.

  • How citations change AI reliability and help you verify claims instantly.

  • How to learn faster using format switching (chat → mind map → flashcards → quiz → podcast reinforcement).

Which Benefits Do I Get?

  • You find what you saved in seconds, instead of re-searching or scrolling through tabs.

  • You trust answers more because you can verify them with citations inside your own documents.

  • You turn dense reading into “commute learning” using AI-generated podcasts and interactive Q&A.

  • You retain more because the system forces active recall via quizzes and flashcards.

Why It Matters

YOU do not have an information problem—you have a retrieval and synthesis problem. This workflow turns messy bookmarks into a searchable, cited knowledge system that you can actually use. If you rely on AI for research, learning, or content, grounding answers in your sources cuts the risk of confident nonsense and makes your output defensible.

📌 Watch the full Video: Youtube

Short News in AI & Tech

AI Coding Tools Are Becoming a Security Risk

AI coding assistants now write large parts of production software — and attackers are starting to exploit that. Security researchers warn that auto-generated code can quietly introduce vulnerabilities, especially in open-source dependencies. As AI-written commits scale faster than human review, software security models are being stress-tested in real time.
📌 Read More: Fortune

Fei-Fei Li: Skills Matter More Than Degrees

AI pioneer Fei-Fei Li says the talent market is shifting fast. In an AI-powered economy, employers should prioritize hands-on skills, adaptability, and tool fluency over formal college degrees. Her message to CEOs: hiring signals must evolve, because AI is reshaping how value is created — and who can create it.
📌 Read More: Fortune

Google’s “Disco” Turns Browser Chaos Into AI Apps

Google is testing Disco, an AI experiment that reorganizes messy browser tabs into structured, interactive workspaces. Instead of dozens of tabs, users get AI-generated “GenTabs” that summarize, group, and reshape browsing sessions into usable mini-apps — hinting at the browser’s next evolution.
📌 Read More: Mashable

Disney Tells Google: Stop Using Our Content for AI

Disney has formally demanded that Google stop using its copyrighted content in AI tools. The move highlights a growing clash between AI model training and intellectual property rights, as major media companies push back against unlicensed use of their worlds, characters, and stories in generative systems.
📌 Read More: Pymnts

AI Tools / SaaS to Checkout

Vife.ai

Vife.ai is an AI-powered creative platform focused on generating and enhancing short-form visual content. It helps YOU turn ideas into polished visuals faster, reducing manual editing and production friction. The tool targets creators and marketers who want speed, consistency, and AI-assisted creativity without complex workflows.
👉 Try It Here: Vife

Muses

Muses is an AI writing agent designed for blogs, marketing copy, and long-form content. It emphasizes structured outputs, clarity, and speed, making it useful for teams and individuals who publish frequently. YOU use it to move from blank page to publish-ready drafts with minimal prompting.
👉 Try It Here: Muses

CraveGuide.ai

CraveGuide.ai is an AI-driven behavioral coaching tool focused on eating habits and cravings. Instead of calorie tracking, it delivers real-time guidance and pattern awareness to help YOU make better food decisions. It positions AI as a personal coach, supporting habit change through context-aware nudges.
👉 Try It Here: CraveGuide

VisualFieldTest.com

VisualFieldTest.com offers a browser-based visual field screening tool that helps users check peripheral vision at home. It uses simple AI-assisted analysis to visualize results and track changes over time. YOU get fast, accessible awareness of potential vision issues without specialized hardware.
👉 Try It Here: Visualfieldstest

🙏 Thanks for reading till the end — you’re the reason this newsletter exists.

Got a thought or idea? Hit reply — I read every message.

⭐⭐⭐⭐⭐ Your feedback helps make each issue sharper.

Not subscribed yet? Join here & share it with someone who’d enjoy it too.

See you in our next edition!

Adrian

Keep Reading