The Engine and The Network: How NVIDIA's New Hardware Is Powering the AI Future and 6G

 

The Engine and The Network: How NVIDIA's New Hardware Is Powering the AI Future and 6G

The era of simply training bigger AI models is giving way to the era of building AI Factories—massive, specialized data centers that produce and process intelligence at an unprecedented scale. This shift requires a new class of infrastructure, and recent announcements from NVIDIA, particularly around its next-generation Data Processing Unit (DPU) and strategic network partnerships, illustrate exactly where the future of computing and telecommunications is heading.

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The Processor: NVIDIA BlueField-4, The OS of the AI Factory

NVIDIA has unveiled the BlueField-4 DPU, a foundational processor designed to power the operating system of these "AI Factories." It represents a major leap in accelerating gigascale AI infrastructure, moving beyond traditional CPU and GPU silos to handle the demanding data, networking, and security requirements of trillion-token workloads.

Key Capabilities of the BlueField-4:

• Massive Throughput: The DPU delivers up to 800Gb/s of throughput, supporting AI factories up to 4x larger than those built on its predecessor, BlueField-3.

• Accelerated Compute: It combines an NVIDIA Grace CPU with cutting-edge ConnectX-9 networking to deliver 6x the compute power for high-performance inference processing right where the data lives.

• Software-Defined Intelligence: BlueField-4 transforms data centers into secure, intelligent infrastructure by providing software-defined acceleration across AI data storage, networking, and security. This is managed through a multi-service architecture and native support for NVIDIA DOCA microservices, which streamline deployment and operations.

• Zero-Trust Security: Security is a core feature, anchored by the Advanced Secure Trusted Resource Architecture, enabling service providers to create secure, bare-metal compute instances with essential zero-trust tenant isolation.

In essence, the BlueField-4 is the central control engine that makes it possible to efficiently and securely move, store, and process the immense data streams required by next-generation AI.

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The Network: AI-Native 6G with Nokia and AI-RAN

The rise of massive AI factories is dependent on a corresponding leap in network capability. This is the goal of the new strategic partnership between NVIDIA and Nokia, which is focused on building the network that will power the AI future, including 6G.

The collaboration centers on adding NVIDIA-powered, commercial-grade AI-RAN (AI-Radio Access Network) products to Nokia’s industry-leading portfolio.

The Shift to AI-Native Networks:

• AI-RAN: This technology integrates AI capabilities directly into the core of the Radio Access Network, enabling a radical change in how mobile networks operate. Instead of a fixed, static network, an AI-RAN can dynamically optimize itself, manage resources, and perform advanced sensing to improve performance, efficiency, and intelligence.

• The 6G Platform: This partnership is explicitly designed to help communication service providers launch AI-native 5G-Advanced and 6G networks. The hardware enabling this is the NVIDIA Aerial RAN Computer Pro (ARC-Pro), a 6G-ready accelerated computing platform.

• Software-Defined Transition: ARC-Pro combines connectivity, computing, and sensing and is built to ensure a "seamless transition" to 6G through software upgrades. This means future network capabilities will be delivered not just by new hardware rollouts, but through iterative software intelligence, much like an AI model itself.

The synergy is clear: NVIDIA is providing the powerful, programmable infrastructure (BlueField-4) and the intelligent network software (AI-RAN) that will allow telco leaders like Nokia to build the ultra-low-latency, massively-scalable networks necessary for a world driven by AI and data. The journey to a truly AI-native world is now officially a hardware, software, and network marathon.

 

🚀Go from Idea to AI App in Minutes: Introducing Vibe Coding in Google AI Studio

Have you ever had a brilliant app idea but been intimidated by the thought of wrestling with APIs, SDKs, and complex backend integrations? If so, we have incredible news!

We're thrilled to introduce a completely redesigned, AI-powered experience in Google AI Studio that we call Vibe Coding. This is more than just an update; it's a fundamental shift that lowers the barrier between a great idea and a working, feature-rich AI application.

Vibe Coding is all about letting you focus on the what—your creative vision—while Gemini handles the how—the code, connections, and complexity.

What is Vibe Coding?

Vibe Coding is a new way to build. It transforms the app creation process from a complex, line-by-line coding task into a fluid, conversational experience.

Here’s the magic: You simply describe the multi-modal app of your dreams in plain language, and AI Studio, powered by the latest Gemini models, automatically does the heavy lifting:

• Automatic Wiring: Want to build a photo transformation app or a writing assistant that checks facts using Google Search? Just say so. AI Studio understands the capabilities you need and automatically connects the necessary models (like Nano Banana for image editing or Veo for video generation) and APIs.

• Prompt to App in Minutes: We’ve made the process effortless. You can go from a single sentence prompt to a working, previewable application in minutes, not hours or days.

Key Features to Supercharge Your Creativity

The new Vibe Coding experience in AI Studio comes packed with features designed to keep your creative momentum going:

1. Instant Inspiration on Tap

Stuck for an idea? We’ve got you covered:

• The "I'm Feeling Lucky" Button: Instantly generate a unique, working app idea and prototype to explore new possibilities and kickstart your project.

• Revamped App Gallery: The gallery is now a rich, visual library showcasing what can be built with Gemini. Browse example projects, preview them instantly, and remix the starter code to make them your own.

• Brainstorming Loading Screen: Turn idle time into creative time. While your app is building, this screen cycles through context-aware ideas and suggestions generated by Gemini to spark your next feature.

2. Annotation Mode: Edit Visually, Conversationally

Refining your app is now as simple as pointing and asking. Our new Annotation Mode allows for intuitive visual editing:

• Visual Dialogue: Instead of digging through code files, simply highlight an element on your app's live preview and tell Gemini what to change using natural language.

• Example Commands: Try prompts like, “Make this button blue,” or “Change the style of these cards,” or “Animate this image from the left.” Gemini makes the code modifications for you!

3. Continuous, Uninterrupted Flow

We want your development to be seamless. If you happen to hit your free-tier quota, you can now add your own API key to continue working without interruption. AI Studio automatically switches back to the free tier once it renews, ensuring you never lose your creative flow.

Start Vibe Coding Today!

The goal of Vibe Coding is simple: to make AI app creation accessible to everyone—from veteran developers looking to prototype faster to creators who have never written a line of code.

Ready to unleash your creative superpowers?

👉 Start Vibe Coding now in Google AI Studio!

Tell us what amazing AI-powered apps you build with Vibe Coding in the comments below!

https://blog.google/technology/developers/introducing-vibe-coding-in-google-ai-studio/

 

Unlock Gemini's Genius: The Ultimate Prompt Engineering Cheat Sheet

Are you using AI tools like Google's Gemini but feeling like your results are just... average? The truth is, the magic isn't in the AI; it's in how you ask the questions.

The secret to getting truly brilliant, tailored results from Gemini is Prompt Engineering. Stop typing like you’re doing a Google search, and start talking to it like a highly skilled, specialized colleague.

Here is the essential cheat sheet to instantly upgrade your prompts and unlock the full power of Gemini.

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1. The Core Philosophy: The RTCC Framework

The best prompts follow a simple structure. Before you type a single word, think about these four elements:

Element	Question to Ask Yourself	Example Prompt Integration
Role	Who should Gemini pretend to be?	"Act as a professional software engineer..."
Task	What is the specific job you need done?	"...to refactor this Python code for better efficiency."
Context	What background information is necessary?	"...the code is running on a Raspberry Pi and needs to be low-latency."
Constraints	What rules or format must the output follow?	"...explain the changes in a bulleted list and limit the explanation to 150 words."

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2. Advanced Hacks for Pro Users

Once you have the basics down, use these tricks to push Gemini to its limits, especially when dealing with complex tasks, code, or images.

Hack #1: Use Your Context Window

Don't ask questions piecemeal. Gemini can process massive amounts of data at once.

• Instead of: Summarizing three different reports in three chats.

• Do this: Upload all three documents at once using the + icon, and then ask: "Compare and contrast the market projections in these three reports and create a single comparison table."

Hack #2: Force Gemini to "Show Its Work"

For analytical tasks, coding, or problem-solving, never let the AI guess. Make it structure its thought process first.

• Prompt Tip: Start your request with, "First, outline your step-by-step logic. Second, list any assumptions you are making. Third, provide the final answer." This drastically reduces errors and improves the quality of complex outputs.

Hack #3: Unlock Deep Research

When your question requires synthesizing data from multiple web sources (e.g., current trends, competitive analysis), use the dedicated feature:

• Prompt Tip: For big, multi-faceted topics, literally ask: "Perform Deep Research on [Topic] and write a two-page executive report on the findings."

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3. The Magic Words: System Control Phrases

These phrases are like hidden commands that tell the Gemini model how to behave, not just what to write.

1. "Double-check your response."

   • Effect: Gemini runs an internal search to verify its facts and often provides citations, making the response more trustworthy. Use this for anything factual or critical.

2. "Ask me questions to clarify before answering."

   • Effect: This prevents the model from guessing. If your prompt is ambiguous, it will initiate a dialogue to gather necessary details (like audience, length, or specific format) before generating the final text.

3. "Keep the response under 100 words."

   • Effect: The single best way to ensure brevity and focus. Always specify the length constraint in words, sentences, or bullet points.

By combining the RTCC framework with these power hacks, you'll move past generic AI responses and start getting genuinely personalized, high-quality output every time.

What is the most complex task you're going to use your new prompting skills for?

 

The Rise of Embodied AI: How Tesla, NVIDIA, and Boston Dynamics are Building Our Robotic Future

The world is rapidly moving into the age of Embodied AI, where intelligent software is integrated into physical machines that can perceive, reason, and act in the human world. This revolution is being spearheaded by a mix of automotive, chip, and pure-play robotics giants, each driving a critical piece of the future.

1. The Agility Benchmark: Boston Dynamics and the Electric Atlas 🤖

For decades, Boston Dynamics has been the undisputed leader in dynamic movement and legged mobility, setting the global benchmark for what robots can physically achieve.

• The Transition: After showcasing its hydraulic power with stunning acrobatic feats, the company has now unveiled the fully electric Atlas. This new version is not just stronger and more agile; it is explicitly designed for commercialization in industrial environments.

• Commercial Focus: While Atlas pushes the boundaries of humanoid form, Boston Dynamics already fields two highly successful commercial robots: Spot (the quadruped robot used for inspection in construction, oil & gas, and public safety) and Stretch (a wheeled robot built specifically for automating case handling in warehouses).

• The Principle: Boston Dynamics' core philosophy is building robots that can navigate the unpredictive, unstructured environments where people work, proving that dynamic stability and advanced mobility are the keys to real-world utility.

2. The Mass Production Vision: Tesla's Optimus and the Cost Revolution 🏭

Tesla is attacking the robotics market with a strategy built on scale, affordability, and a unified AI stack.

• General-Purpose Goal: The Optimus humanoid is engineered to be a general-purpose, bipedal worker capable of performing boring, repetitive, or dangerous tasks. The ultimate goal is to mass-produce the robot at a cost well below current industrial units, with CEO Elon Musk suggesting a price potentially under $30,000.

• AI Leverage: Optimus is powered by the same vision-based neural network technology that runs Tesla's Full Self-Driving (FSD) system. The idea is to leverage years of automotive AI development to quickly teach the robot how to perceive and navigate complex human environments.

• Rapid Iteration: Prototypes like the Optimus Gen 2 already show rapid progress, demonstrating improved dexterity (able to delicately handle an egg) and faster, more fluid movement, suggesting an aggressive path toward internal use in Tesla factories.

3. The Indispensable Platform: NVIDIA's GR00T and the Robotic Brain 🧠

NVIDIA does not build the robots themselves; they provide the entire ecosystem—the chips, the software, and the foundation models—that power nearly every major player in the field.

• The Foundation Model: Their Project GR00T (Generalist Robot 00T) is a revolutionary AI model designed to enable humanoid robots to learn skills from human demonstration, video, or even a simple instruction, and then perform that task in the real world. This is the "ChatGPT moment" for physical AI.

• Simulation to Reality: The company’s Isaac Sim platform, built on Omniverse, allows companies to train, test, and validate their robots in hyper-realistic virtual environments, addressing the immense data requirements of new AI-driven robots.

• The Hardware Core: This AI intelligence is deployed on powerful edge-computing hardware like the Jetson AGX Thor, establishing NVIDIA as the essential hardware provider for the entire robotics industry.

Other Critical Pioneers: From Perception to Industry

The robotics revolution is also being shaped by key players specializing in vital components and new market segments:

• 1X NEO and the Consumer Home Market: 1X Technologies (an OpenAI-backed company) is positioning its NEO humanoid with a sharp focus on the consumer home. Unlike rivals targeting factory floors, NEO is designed to be a quiet, soft-bodied, and "approachable" personal assistant for household chores and general help. It leverages a large language model (LLM) for conversational assistance and uses a system where remote human "Experts" can teleoperate the robot for complex, unlearned tasks, helping it gather real-world training data to accelerate its autonomy.

  https://www.1x.tech/neo

• Mobileye (Intel): A global leader in Advanced Driver Assistance Systems (ADAS). Their high-efficiency EyeQ chips and computer vision systems—which provide real-time, detailed perception of the surrounding environment—are foundational technologies for any robot that needs to operate safely in a dynamic, unpredictable world.

• Industrial Giants (ABB, Fanuc, KUKA): These companies continue to dominate the traditional industrial automation market with specialized robotic arms and systems for welding, assembly, and packaging. Their focus is on precision, speed, and reliability in structured factory environments.

• New Humanoids (Figure, Unitree): Startups like Figure AI (backed by OpenAI) and Unitree are rapidly releasing functional, agile, and increasingly affordable bipedal robots for logistics and research, accelerating the competitive pressure on the market.

The combination of Boston Dynamics' unparalleled hardware agility, Tesla's pursuit of mass-market AI, and NVIDIA's foundational computing power is pushing us beyond simple automation into a truly collaborative era of human-robot work.

This video provides a comparison of the top contenders in the humanoid robot space, including Tesla's Optimus and Boston Dynamics' Atlas. Top 4 Humanoid Robots of 2025 — Tesla, Figure, Unitree & Boston Dynamics

Top 4 Humanoid Robots of 2025 — Tesla, Figure, Unitree & Boston Dynamics - YouTube

RoboFrontier · 620 views

The Symphony of Silicon: How AI is Reshaping Music Creation

 

The Symphony of Silicon: How AI is Reshaping Music Creation

The beat has changed. Not just the rhythm, but the entire process of how music is made. We're living in the age of generative AI music, where a simple text prompt can conjure a fully produced song, complete with vocals and diverse instrumentation. This isn't the future—it's happening right now, thanks to platforms like OpenAI Jukebox, Suno, and a host of other innovative tools.

For content creators, producers, and even just casual music lovers, the capabilities of these platforms are revolutionary. But what are the differences, and where is this technology heading?

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The Pioneers: Jukebox and the Rise of Text-to-Song

Back in 2020, OpenAI, the creators behind ChatGPT, introduced Jukebox. It was a groundbreaking neural network designed to generate music as raw audio, including basic singing, in various styles.

OpenAI Jukebox in a nutshell:

• The Vision: To push the boundaries of generative models by tackling the complexity of raw audio music.

• How it Works (Simplified): It was trained on a massive dataset of songs. Users would input a genre, artist, and lyrics, and Jukebox would output a new, original music sample. It used a hierarchical approach to structure the music, attempting to capture everything from the broad structure down to the fine details of timbre and pitch.

• Status: While a massive technical achievement that paved the way, Jukebox is largely a research project. The model and code are available, but it's not the user-friendly, public-facing product that current leaders are.

The New Era: Suno and the User-Friendly Hitmaker

Fast-forward a few years, and the landscape is dominated by tools focusing on accessibility and polished, ready-to-use output. Suno is a prime example, often praised for its intuitive interface and high-quality results.

Why Suno Stands Out:

• Expressive Vocals: Suno's models (like the recent v5) are known for generating surprisingly natural and emotionally rich vocals, often making the final track sound more "human" than its competitors.

• Text-to-Song Mastery: You don't just get an instrumental; you get a full song with lyrics (which Suno can generate for you) and a structured arrangement.

• Studio Features: Suno Studio offers a web-based "DAW-like" workspace, allowing users to customize song structure, remix sections, and even export individual stems (vocal, drums, bass, etc.) for further editing in professional software. This bridges the gap between AI generation and traditional music production.

• Accessibility: Suno offers a free tier, making high-quality music creation available to anyone with an idea.

Beyond the Big Two: A Diverse Ecosystem

The AI music scene is a competitive marketplace, with several other platforms offering unique value propositions:

• Udio: A serious contender to Suno, Udio is also generating buzz for its extremely high-quality audio, professional-grade mixing, and tight, natural lyrical flow, particularly in genres like Hip-Hop and Pop. It's often favored by producers for its polish and control.

• Mubert: Focused heavily on functional music, Mubert excels at generating seamless, royalty-free loops and continuous ambient tracks, making it a go-to for streamers, video editors, and app developers who need background music.

• AIVA (Artificial Intelligence Virtual Artist): This tool is often used for creating film soundtracks and classical pieces, offering more sophisticated controls over musical theory elements like harmony and instrumentation.

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The Ethical Note: Copyright and the Future of Authorship

As AI music generators grow more sophisticated, a critical conversation is taking place—the issue of copyright and training data.

Major record labels, including Universal Music Group (UMG) and Sony Music, have filed lawsuits against companies like Suno and Udio. The core argument is that these AI models were trained on vast amounts of copyrighted material—existing commercial songs—without permission or compensation to the rights holders.

The Stakes:

• For the AI Platforms: They argue their models create "transformative" new works, similar to how human musicians learn by listening.

• For the Music Industry: They demand licensing and compensation, fearing AI will devalue human creativity and flood the market with infringing content.

• For the User: For now, paid users on platforms like Suno and Udio are generally granted commercial rights to the music they create. However, the outcome of these lawsuits will likely define the legal boundaries for AI music generation moving forward.

Conclusion: Your New Bandmate is AI

AI music generation is no longer a novelty; it's a powerful creative partner. Whether you're a beginner using a prompt to get a backing track for a video, or a seasoned producer using AI-generated stems as a starting point for a complex mix, the barrier to entry for music creation has been shattered.

The most exciting development is the shift from purely technical models like Jukebox to highly expressive and customizable tools like Suno and Udio. The future of music won't be about human versus machine, but about human plus machine, empowering a new generation of artists to bring their sounds to life.

What do you think? Have you tried creating a song with AI? Share your thoughts and experiences in the comments below!

Level Up Your Skills for Free: Google vs. OpenAI, and Beyond!

 

Level Up Your Skills for Free: Google vs. OpenAI, and Beyond! 🚀 

The AI revolution isn't just for coders and data scientists anymore—it's for everyone! And the best part? You don't need a massive budget to get started. Tech giants and top educators are offering an abundance of high-quality, free AI courses that can seriously boost your resume and daily productivity.

But with so many options, where should you start? Let's break down the latest offerings from Google, OpenAI's partners, and a few other top picks, complete with direct links to start learning.

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Google's Free AI Learning Path (Google AI/Skills Boost)

Google has dramatically expanded its free offerings, now providing thousands of classes geared toward everyone from novices and business professionals to developers. The training is naturally centered around Google's own AI products like Gemini and Google Cloud.

Key Free Google Courses and Features:

Feature	Details and Links
Course Catalog	Over 3,000 classes on AI and technical skills, with many available at no cost. You can explore the full catalog at Google AI Courses and Tools.
AI Essentials	Google AI Essentials: A 5-hour foundational course designed for beginners, teaching you the fundamentals of generative AI and how to use tools for daily work tasks.
Prompting	Google Prompting Essentials: A 6-hour course focused solely on the critical skill of writing effective prompts to get the best results from AI models.
Learning Paths	The Generative AI Learning Path is a popular collection of multiple short courses that award completion Badges (e.g., Introduction to Generative AI, Responsible AI).
Hands-on Labs	Many courses, especially on the Google Cloud Skills Boost platform, include hands-on labs. Users often receive 35 free credits each month to enroll in these interactive exercises, allowing you to use Google's cloud AI tools without charge.
Target Audience	Includes quick AI Boost Bites (10-minute tutorials), courses for Small Businesses, and specialized content for Educators.

The Takeaway: Google's platform is the go-to for practical, immediate application of AI in the workplace, offering structured paths with verifiable completion badges.

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OpenAI's Partner Offerings and Academy

OpenAI, the creator of ChatGPT, focuses on partnering with leading educational organizations to deliver cutting-edge content, often centered on prompt engineering and building with their models.

Feature	Details and Links
Prompt Engineering	DeepLearning.AI's ChatGPT Prompt Engineering for Developers (taught by Andrew Ng and Isa Fulford) is a highly recommended free short course that teaches you to use the API to leverage LLMs in your own applications. Find it on the DeepLearning.AI Courses page.
ChatGPT Productivity	Vanderbilt University's ChatGPT: Master Free AI Tools to Supercharge Productivity is available on Coursera and is excellent for advanced users looking to integrate ChatGPT into their workflow. (Note: Auditing the course is free, but a verified certificate usually requires payment).
OpenAI Academy	Check out the growing resources from the official OpenAI Academy. It offers workshops and digital content from foundational AI literacy to advanced integration for engineers, with plans for formal certifications in the future.

The Takeaway: If you want a deep dive into the technical side of Large Language Models (LLMs) and mastering the API for application development, look for the courses created in partnership with OpenAI.

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Other Top-Tier Free AI Courses

1. The Elements of AI

• Focus: A non-technical, conceptual introduction to AI, what it is, and its societal impact. It aims to demystify the topic for everyone.

• Best For: Total beginners and those who want a solid conceptual foundation without coding or complex math.

• Link: The Elements of AI (From the University of Helsinki and MinnaLearn)

2. IBM SkillsBuild: AI Fundamentals

• Focus: Provides a robust understanding of AI, including technical underpinnings, practical applications, and crucial ethical and responsible AI considerations.

• Best For: Students and adult learners seeking a comprehensive foundational course that covers both the technical basics and the societal impact.

• Perk: Offers free Digital Badges upon completion.

• Link: IBM SkillsBuild AI Course Catalog

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Final Comparison: Choosing Your Path

The best course is the one you actually finish! Choose based on your primary goal:

If your Goal is...	Choose...	Why?
Immediate professional use (e.g., content generation, daily tasks)	Google AI Essentials / Prompting Essentials	Fast, focused, and directly applicable using Google's tools.
To build with the models (e.g., a custom chatbot)	DeepLearning.AI's Prompt Engineering	High-quality, technical content directly related to LLM APIs.
A high-level, non-technical overview of AI	The Elements of AI	Excellent conceptual foundation with no prerequisites.
AI fundamentals with an ethics focus	IBM SkillsBuild	Good foundational content combined with crucial responsible AI discussions.

Browser of you choice - AI Browsers in 2025: Chrome AI Mode vs Edge Copilot vs Perplexity Comet vs ChatGPT Atlas

 OpenAI released yesterday (21/OCT/2025) new browser called Atlas, it was released only for mac operating system. see their landing page

https://chatgpt.com/atlas/get-started/

so which browser is best to browse the internet today.

I still using Google Chrome currently as my favorite choice.

let's start with the bottom line:

Bottom line

Pick the ecosystem you live in, then decide how much autonomy you want to hand the browser. If you want “AI in the margins,” choose Chrome. If you want an assistant that drives, choose Edge Copilot or Comet. If you want ChatGPT everywhere on a Mac, choose Atlas. 

ChatGPT Atlas

It's strange launching new browser not to the mainstream but lets try to compare the current available options for browsers with ai mode ability:

It's very interesting to see the UI, icons , Chatgpt take the browser icon seems look a like a merge between sora icon + telegram 

and to be minimal it take import information from existing safari or chrome.

What it is: OpenAI’s new browser with ChatGPT at the core. Ships macOS first, with a split view that keeps the page and ChatGPT transcript side by side. Agent Mode can take actions for you, and memory personalizes results; both are optional and visible in settings. The Verge+1

Privacy posture: by default, web content you browse isn’t used to train models; you can opt in. Incognito logs ChatGPT out. The agent cannot run code, download files, or install extensions; it pauses on sensitive sites. OpenAI

Gaps: Windows/mobile “coming soon.” If you live on Chrome‑only extensions, wait and reassess once API details land. The Verge+1

lets move to the next new browser "Comet" from Perplexity 

Perplexity Comet

What it is: an AI‑first browser on Chromium. It answers, cites sources, acts on pages, and keeps standard browser comforts. It supports most Chrome extensions, adds a Gmail connector, and ships a built‑in ad blocker. Recently made free for everyone. Perplexity AI+1

Why it’s good: zero‑friction import from Chrome; real actionability for shopping, research, and inbox triage; tab organization smarts. Perplexity AI

Gaps: New Tab is locked to Perplexity by design; you can’t replace it with Momentum/Toby, even via extensions. VPN is “expected,” not here yet. Windows Report

All four ship credible AI. Only two are truly “AI‑first” (Comet, Atlas). Chrome and Edge bolt AI onto browsers you already know. Comet locks you into Perplexity on the new‑tab page but runs most Chrome extensions. Atlas is macOS‑first, leans hard on memory and agents, and keeps training opt‑in. Chrome’s Gemini is the safest bet for mainstream users today; Edge Copilot Mode is the boldest for Windows power users.

Chrome and Edge the old browsers are based on same chromium

Chrome with AI Mode (Gemini in Chrome)

What it is: a measured integration that keeps Chrome feeling like Chrome. You get a Gemini panel that can read the page you’re on, optionally up to 10 of your open tabs, and a new AI Mode entry in the omnibox. “Help me write” is built into any text box. Availability is rolling out, US‑first, 18+. Google Help+2blog.google+2

Why it’s good: stable base, full extensions, Google app connectors (Gmail, Calendar, Drive, Docs) from the Gemini side panel. It’s a productive “copilot,” not a takeover. Google Help

Gaps: agentic automation inside Chrome is still staged; outside the US you may wait. “Help me write” sends page content and the URL to Google to improve the feature; know the trade‑off. blog.google+1

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Edge with Copilot Mode

What it is: a toggle that turns Edge into an agentic browser. Copilot can see all open tabs with permission for multi‑tab context, drive navigation by voice, and use Copilot Vision to “see” your screen and act. Microsoft calls it experimental and free for a limited time. Windows Blog+1

Why it’s good: fastest path to hands‑off workflows on Windows. Clear privacy cues and an opt‑in model for tab/history access. Windows Blog

Gaps: still evolving; some features carry usage limits. If you don’t want new‑tab Copilot UI, leave the mode off. PCWorld+1

Comparison snapshot

Browser	Agentic actions	Uses page/tab context	Extensions	Platforms now	Notables
Chrome + AI Mode (Gemini in Chrome)	Task automation “coming”	Current tab + share up to 10 tabs	Full Chrome ecosystem	Mac/Windows; US first	AI Mode from the omnibox; “Help me write.” blog.google+2Google Help+2
Edge + Copilot Mode	Yes (Actions; voice; “Vision” sees screen)	Multi‑tab context	Full Chromium/Edge	Windows/Mac	Free for a limited time; opt‑in experimental mode. Windows Blog+1
Perplexity Comet	Yes (shopping, forms, email)	Cross‑tab; “Comet Intelligence”	Most Chrome extensions	Mac/Windows (mobile rolling out)	New tab locked to Perplexity; built‑in ad blocker. Free now. Perplexity AI+2Windows Report+2
ChatGPT Atlas	Yes (Agent Mode, Plus/Pro/Business)	Split‑view with persistent sidebar; memory optional	Extension support not announced at launch*	macOS now; Windows/iOS/Android “coming soon”	Privacy‑forward defaults; “cursor chat.” OpenAI+2The Verge+2

Strong take

• Best mainstream pick: Chrome + Gemini/AI Mode. You keep stability and extensions while adding AI where it counts. Agentic features are on Google’s roadmap, but you aren’t a guinea pig. blog.google

• Best for Windows power users: Edge Copilot Mode. It’s the most capable at doing the work for you today. If you’re deep in Microsoft 365, it’s a layup. Windows Blog

• Best AI‑first experience on Chromium: Comet. Great if you want an assistant that acts and you don’t mind the fixed Perplexity start page. Windows Report

• Best for ChatGPT diehards on Mac: Atlas. Agent Mode + memory in a clean macOS app. Expect rapid changes; verify your extension needs before switching. OpenAI+1

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Quick setup notes for your readers

• Chrome: Update Chrome → sign in → turn on Gemini in Chrome and AI Mode; right‑click any text field for Help me write. US/18+ for now. Google Help+1

• Edge: Settings → Copilot Mode toggle. Grant multi‑tab permissions only if you want cross‑tab context. Free, limited‑time experiment. Windows Blog

• Comet: Install → import from Chrome → note that the New Tab is fixed to Perplexity; most Chrome extensions work. Perplexity AI+1

• Atlas (Mac): Download → sign in → decide on Browser Memories and Agent Mode (Plus/Pro/Business). Use split‑view “Ask ChatGPT” on any page. OpenAI+1