#Free queries DeepSeek R1

[free-ai-tools-by-jazzy-content]

Good News from Perplexity: DeepSeek R1 model is now available across every Perplexity platform

We're excited to announce that the new DeepSeek R1 model is now available across every Perplexity platform. You can experience the latest breakthrough in AI by turning on Pro Search with R1 on web, mobile, or MacOS. I highly recommend you try it out today — the experience is truly remarkable.

This model is hosted on servers based in the US and Europe, meaning that your data is not shared with the model provider or with China. Furthermore, we have eliminated all censorship on answers. You can ask it about any topic, even ones that are censored on the DeepSeek app, giving you unbiased and accurate answers.

In the past few years, there have been a handful of revolutionary moments in AI that have transformed the landscape. I wholeheartedly believe that this is yet another moment. We will continue to find ways to make this technology available to our users safely, so we can put knowledge at your fingertips and provide accurate, trusted, answers to every question.

Pro subscribers have access to 500 DeepSeek R1 Pro Searches per day. All other users have 5 free uses per day.

[justforbooks]

The DeepSeek panic reveals an AI world ready to blow❗💥

The R1 chatbot has sent the tech world spinning – but this tells us less about China than it does about western neuroses

The arrival of DeepSeek R1, an AI language model built by the Chinese AI lab DeepSeek, has been nothing less than seismic. The system only launched last week, but already the app has shot to the top of download charts, sparked a $1tn (£800bn) sell-off of tech stocks, and elicited apocalyptic commentary in Silicon Valley. The simplest take on R1 is correct: it’s an AI system equal in capability to state-of-the-art US models that was built on a shoestring budget, thus demonstrating Chinese technological prowess. But the big lesson is perhaps not what DeepSeek R1 reveals about China, but about western neuroses surrounding AI.

For AI obsessives, the arrival of R1 was not a total shock. DeepSeek was founded in 2023 as a subsidiary of the Chinese hedge fund High-Flyer, which focuses on data-heavy financial analysis – a field that demands similar skills to top-end AI research. Its subsidiary lab quickly started producing innovative papers, and CEO Liang Wenfeng told interviewers last November that the work was motivated not by profit but “passion and curiosity”.

This approach has paid off, and last December the company launched DeepSeek-V3, a predecessor of R1 with the same appealing qualities of high performance and low cost. Like ChatGPT, V3 and R1 are large language models (LLMs): chatbots that can be put to a huge variety of uses, from copywriting to coding. Leading AI researcher Andrej Karpathy spotted the company’s potential last year, commenting on the launch of V3: “DeepSeek (Chinese AI co) making it look easy today with an open weights release of a frontier-grade LLM trained on a joke of a budget.” (That quoted budget was $6m – hardly pocket change, but orders of magnitude less than the $100m-plus needed to train OpenAI’s GPT-4 in 2023.)

R1’s impact has been far greater for a few different reasons.

First, it’s what’s known as a “chain of thought” model, which means that when you give it a query, it talks itself through the answer: a simple trick that hugely improves response quality. This has not only made R1 directly comparable to OpenAI’s o1 model (another chain of thought system whose performance R1 rivals) but boosted its ability to answer maths and coding queries – problems that AI experts value highly. Also, R1 is much more accessible. Not only is it free to use via the app (as opposed to the $20 a month you have to pay OpenAI to talk to o1) but it’s totally free for developers to download and implement into their businesses. All of this has meant that R1’s performance has been easier to appreciate, just as ChatGPT’s chat interface made existing AI smarts accessible for the first time in 2022.

Second, the method of R1’s creation undermines Silicon Valley’s current approach to AI. The dominant paradigm in the US is to scale up existing models by simply adding more data and more computing power to achieve greater performance. It’s this approach that has led to huge increases in energy demands for the sector and tied tech companies to politicians. The bill for developing AI is so huge that techies now want to leverage state financing and infrastructure, while politicians want to buy their loyalty and be seen supporting growing companies. (See, for example, Trump’s $500bn “Stargate” announcement earlier this month.) R1 overturns the accepted wisdom that scaling is the way forward. The system is thought to be 95% cheaper than OpenAI’s o1 and uses one tenth of the computing power of another comparable LLM, Meta’s Llama 3.1 model. To achieve equivalent performance at a fraction of the budget is what’s truly shocking about R1, and it’s this that has made its launch so impactful. It suggests that US companies are throwing money away and can be beaten by more nimble competitors.

But after these baseline observations, it gets tricky to say exactly what R1 “means” for AI. Some are arguing that R1’s launch shows we’re overvaluing companies like Nvidia, which makes the chips integral to the scaling paradigm. But it’s also possible the opposite is true: that R1 shows AI services will fall in price and demand will, therefore, increase (an economic effect known as Jevons paradox, which Microsoft CEO Satya Nadella helpfully shared a link to on Monday). Similarly, you might argue that R1’s launch shows the failure of US policy to limit Chinese tech development via export controls on chips. But, as AI policy researcher Lennart Heim has argued, export controls take time to work and affect not just AI training but deployment across the economy. So, even if export controls don’t stop the launches of flagships systems like R1, they might still help the US retain its technological lead (if that’s the outcome you want).

All of this is to say that the exact effects of R1’s launch are impossible to predict. There are too many complicating factors and too many unknowns to say what the future holds. However, that hasn’t stopped the tech world and markets reacting in a frenzy, with CEOs panicking, stock prices cratering, and analysts scrambling to revise predictions for the sector. And what this really shows is that the world of AI is febrile, unpredictable and overly reactive. This a dangerous combination, and if R1 doesn’t cause a destructive meltdown of this system, it’s likely that some future launch will.

Daily inspiration. Discover more photos at Just for Books…?

[coredgeblogs]

Trae vs Cursor vs Websurfer: Your Next Vibe Coding IDE – Pick Your Coding Superpower!

Hey there, coding crew!

I’m driven to dive into the wild world of vibe coding IDEs with Trae vs Cursor vs Websurfer. You’re in for a treat if you’ve been vibing to the thump of AI-powered coding—where you chat with your code and watch it come to life!  We all are in an era where AI copilots are no longer science fiction—they’re your day-to-day troubleshooting buddies. It means developers (a.k.a. modern-day wizards) are eyeing for more than just syntax highlighting and want an IDE that’s smart, sharp, and feels like a digital companion. Selecting between Trae, Cursor, and WebSurfer for your "next vibe coding IDE" is subject to your specific needs and preferences. The dev scene in 2025 is shaken up by these tools, and at Coredge.io , we see this as a game-changer for accelerating development as we’re all about leveraging cutting-edge tech for our cloud and Kubernetes solutions, especially for our clients in telecom and finance.

But here’s the factual question: Are you coding in the proper IDE that gets your vibe?

Enter: Trae, Cursor, and Websurfer—three next-gen IDEs getting serious traction in dev communities. But which one justifies being your partner-in-code? Have your favourite beverage, and let’s explore and compare them head-to-head and figure out which of these vibe coding champs might be your next go-to IDE!

First off, let’s break it down—vibe coding, a new approach to software development, is like having a magical coding sidekick, where developers leverage AI to generate code based on natural language prompts rather than manually writing every line! Vibe Coding was coined by AI guru Andrej Karpathy, and he describes vibe coding as “Giving into the vibes, embrace exponentials, and forget that code even exists.

No more slogging through lines of syntax—just tell your IDE, “Build me a killer app,” and watch the magic happen!

Meet the Contenders: What Are These IDEs? (Trae, Cursor, and Websurfer) 

Imagine these IDEs as superheroes, each with unique powers. Here’s the lineup:

Trae: Trae is launched by ByteDance, the Chinese owner of TikTok. It’s an ultra-sleek, adaptive, AI-powered IDE code that offers unlimited free access to DeepSeek R1 and Claude 3.7 Sonnet large language models. Trae is designed to boost productivity and collaboration in software development with popular coding frameworks. It’s all about converting pictures into code—snap a design, and boom, it’s a webpage! Perfect for quick projects, though with massive codebases, it stumbles.  The name "Trae" derives from British roots and is considered a modern choice for baby names.

Cursor: Based on VS Code, the cursor is the seasoned pro, an AI-enhanced code editor with attributes like code generation, smart rewrites, and codebase queries —all without leaving your editor. It’s a powerhouse with composer and agent modes that realize your entire project, auto-imports in TypeScript, and even crafts commit messages. On pricing aspects, according to Apidog, it offers a 14-day free trial and paid subscriptions for advanced features. For a paid subscriber, it’s priced at $20/month (Pro) or $40/user (Business). It’s for devs who desire control and precision. 

Websurfer: Less hyped but fascinating, Websurfer is a wildcard designed for cloud-native development and a variant of Windsurf from the buzz, offering a clean UI and cascade features for auto-context magic. It offers near-desktop performance and is an ideal setup for developers who love the freedom of working on the go or across devices and are looking for enhanced coding experiences. At $15/month (Pro) or $60/month (Ultimate), it’s beginner-friendly and excels at simplicity.

The Showdown: Smart Coding & AI Integration

Like a coding Olympics, let’s pit these vibe coding heroes against each other!

Code Completion:

•Trae offers smart code suggestions, error highlighting, and a chatbot assistant with whom you can hold a conversation.

•Cursor- With GPT-4 baked in, the cursor is the AI beast in the room. Cursor not only just autocomplete—it comprehends context. The cursor’s tab completion is like a mind reader, advising multi-line code with project-wide smarts.

•Websurfer leans into cloud-based AI support and keeps it smooth and beginner-friendly. While not as deeply integrated as Cursor, it connects flawlessly with tools like Code Whisperer, GitHub Copilot, and other LLMs.

Winner: Cursor, for its mind-blowing GPT integration. Trae comes close, though!

Performance & UI/UX:

Nobody likes a laggy IDE. It’s like coding with molasses.

•Trae is agile, lightweight, and clean. It loads faster by using minimal resources and is super responsive.  Shoutout to their dark mode also—it’s a chef’s kiss.

•Cursor, being built on VS Code, entire apps can be scaffolded by Cursor, and its agent mode acts like a senior dev.  But hey, it’s familiar! Cursor feels like home. If you’ve used VS Code before, just with more AI magic.

•Websurfer has improved significantly in performance. Thanks to edge computing and optimized loading, it’s fast even on Chromebooks. Bonus: Without installing a thing, you can code from anywhere.

Winner: Tie between Trae and Websurfer. Trae wins on pure speed and UI; Websurfer wins for accessibility and portability.

Chat & Context: The Cursor’s chat (Cmd + L) is context-aware. For extra insight, it lets you drag folders. Trae’s Side Chat (Cmd + U) manages multimodal input (pics included!), while Websurfer’s agentic mode guesses context like a psychic.

Winner- Cursor edges out for robustness, but Trae’s free multimodal vibe is irresistible.

Pricing & Accessibility: Trae’s free (beta) offering is a good one, though Mac-only for now. Cursor’s $20-$40/month serves to professional, while Websurfer’s $15-$60/month offers flexibility.

Winner-Trae takes the crown for budget vibes but watch for future costs!

The Fun Aspect: Coding Like a Rockstar

Imagine this: You’re jamming to your favorite tunes, describing a to-do app, and your IDE rocks it out! Cursor feels like a seasoned band leader, guiding you with precision. Trae’s a free-spirited DJ, spinning fresh beats with image-to-code magic. Websurfer is the chill guitarist, keeping it simple and groovy. At Coredge.io , we love how these tools let devs vibe while building—imagine integrating them into our cloud orchestration for real-time app magic!

Challenges: The Villains in the Mix

Every superhero encounters foes! The weaker big-project handling of Trae and Mac-only limits are hurdles. Beginners might be scared of Cursor’s complexity and price tag, while Websurfer’s context glitches (partial file picks) can frustrate them. At Coredge.io , we’d pair these with our secure multi-cloud solutions to dodge privacy pitfalls—vibe coding should be fun, not risky!

So, which one dazzles you?

•Beginners: Trae’s free, user-friendly vibe is your jam—start here!

•Pros: The Cursor’s depth and control make it the pro’s pick.

•Teams: Websurfer’s simplicity shines for small crews.

•Coredge.io Clients: We’d blend Cursor’s power with our Kubernetes expertise for scalable, AI-driven apps.

Conclusion: Your Next Move

As of now, the Vibe coding scene is buzzing! Are you set to vibe code? Try Trae for free, test Cursor’s Pro trial, or explore Websurfer’s base model as it’s gaining traction for its ease of use. At Coredge.io , we’re eager to test these with our cloud stack—stay tuned! Visit Coredge.io for resources or chat with us about integrating these into your workflow. Which IDE’s your vibe? Drop your thoughts below—let’s code the future together!

[jcmarchi]

The Sequence Radar #516: NVIDIA’s AI Hardware and Software Synergies are Getting Scary Good

New Post has been published on https://thedigitalinsider.com/the-sequence-radar-516-nvidias-ai-hardware-and-software-synergies-are-getting-scary-good/

The Sequence Radar #516: NVIDIA’s AI Hardware and Software Synergies are Getting Scary Good

The announcements at GTC showcased covered both AI chips and models.

Created Using Midjourney

Next Week in The Sequence:

We do a summary of our series about RAG. The opinion edition discusses whether NVIDIA is the best VC in AI. The engineering installement explores a new AI framework. The research edition explores the amazing Search-R1 model.

You can subscribe to The Sequence below:

TheSequence is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber.

📝 Editorial: NVIDIA’s AI Hardware and Software Synergies are Getting Scary Good

NVIDIA’s GTC never disappoints. This year’s announcements covered everything from powerhouse GPUs to sleek open-source software, forming a two-pronged strategy that’s all about speed, scale, and smarter AI. With hardware like Blackwell Ultra and Rubin, and tools like Llama Nemotron and Dynamo, NVIDIA is rewriting what’s possible for AI development.

Let’s start with the hardware. The Blackwell Ultra AI Factory Platform is NVIDIA’s latest rack-scale beast, packing 72 Blackwell Ultra GPUs and 36 Grace CPUs. It’s 1.5x faster than the previous gen and tailor-made for agentic AI workloads—think AI agents doing real reasoning, not just autocomplete.

Then there’s the long game. Jensen Huang introduced the upcoming Rubin Ultra NVL576 platform, coming in late 2027, which will link up 576 Rubin GPUs using HBM4 memory and the next-gen NVLink interconnect. Before that, in late 2026, we’ll see the Vera Rubin NVL144 platform, with 144 Rubin GPUs and Vera CPUs hitting 3.6 exaflops of FP4 inference—over 3x faster than Blackwell Ultra. NVIDIA’s clearly gearing up for the huge compute demands of next-gen reasoning models like DeepSeek-R1.

On the software side, NVIDIA launched the Llama Nemotron family—open-source reasoning models designed to be way more accurate (20% better) and way faster (5x speed boost) than standard Llama models. Whether you’re building math solvers, code generators, or AI copilots, Nemotron comes in Nano, Super, and Ultra versions to fit different needs. Big names are already onboard. Microsoft’s integrating these models into Azure AI Foundry, and SAP’s adding them to its Joule copilot. These aren’t just nice-to-have tools—they’re key to building a workforce of AI agents that can actually solve problems on their own.

Enter Dynamo, NVIDIA’s new open-source inference framework. It’s all about squeezing maximum performance from your GPUs. With smart scheduling and separate prefill/decode stages, Dynamo helps Blackwell hardware handle up to 30x more requests, all while cutting latency and costs.

This is especially important for today’s large-scale reasoning models, which chew through tons of tokens per query. Dynamo makes sure all that GPU horsepower isn’t going to waste. While Blackwell is today’s star, the Rubin architecture is next in line. Launching late 2026, the Vera Rubin GPU and its 88-core Vera CPU are set to deliver 50 petaflops of inference—2.5x Blackwell’s output. Rubin Ultra scales that to 576 GPUs per rack.

Looking even further ahead, NVIDIA teased the Feynman architecture (arriving in 2028), which will take things up another notch with photonics-enhanced designs. With a new GPU family dropping every two years, NVIDIA’s not just moving fast—it’s setting the pace.

The real story here is synergy. Blackwell and Rubin bring the power. Nemotron and Dynamo help you use it smartly. This combo is exactly what enterprises need as they move toward AI factories—data centers built from the ground up for AI-driven workflows. GTC 2025 wasn’t just a product showcase—it was a blueprint for the next decade of AI. With open models like Nemotron, deployment tools like Dynamo, and next-gen platforms like Rubin and Feynman, NVIDIA’s making it easier than ever to build smart, scalable AI. The future of computing isn’t just fast—it’s intelligent. And NVIDIA’s making sure everyone—from startups to hyperscalers—has the tools to keep up.

🔎 AI Research

Synthetic Data and Differential Privacy

In the paper“Private prediction for large-scale synthetic text generation“ researchers from Google present an approach for generating differentially private synthetic text using large language models via private prediction. Their method achieves the generation of thousands of high-quality synthetic data points, a significant increase compared to previous work in this paradigm, through improvements in privacy analysis, private selection mechanisms, and a novel use of public predictions.

KBLAM

In the paper “KBLAM: KNOWLEDGE BASE AUGMENTED LANGUAGE MODEL” Microsoft Research propose KBLAM, a new method for augmenting large language models with external knowledge from a knowledge base. KBLAM transforms knowledge triples into continuous key-value vector pairs and integrates them into LLMs using a specialized rectangular attention mechanism, differing from RAG by not requiring a separate retrieval module and offering efficient scaling with the knowledge base size.

Search-R1

In the paper “Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning” researchers from the University of Illinois at Urbana-Champaign introduce SEARCH-R1, a novel reinforcement learning framework that enables large language models to interleave self-reasoning with real-time search engine interactions. This framework optimizes LLM rollouts with multi-turn search, utilizing retrieved token masking for stable RL training and a simple outcome-based reward function, demonstrating significant performance improvements on various question-answering datasets.

Cosmos-Reason1

In the paper“Cosmos-Reason1: From Physical Common Sense To Embodied Reasoning” researchers from NVIDIA present Cosmos-Reason1, a family of multimodal large language models specialized in understanding and reasoning about the physical world. The development involved defining ontologies for physical common sense and embodied reasoning, creating corresponding benchmarks, and training models through vision pre-training, supervised fine-tuning, and reinforcement learning to enhance their capabilities in intuitive physics and embodied tasks.

Expert Race

This paper,“Expert Race: A Flexible Routing Strategy for Scaling Diffusion Transformer with Mixture of Experts”, presents additional results on the ImageNet 256×256 dataset by researchers who trained a Mixture of Experts (MoE) model called Expert Race, building upon the DiT architecture. The results show that their MoE model achieves better performance and faster convergence compared to a vanilla DiT model with a similar number of activated parameters, using a larger batch size and a specific training protocol.

RL in Small LLMs

In the paper “Reinforcement Learning for Reasoning in Small LLMs: What Works and What Doesn’t” AI researchers investigate the use of reinforcement learning to improve reasoning in a small (1.5 billion parameter) language model under strict computational constraints. By adapting the GRPO algorithm and using a curated mathematical reasoning dataset, they demonstrated significant reasoning gains on benchmarks with minimal data and cost, highlighting the potential of RL for enhancing small LLMs in resource-limited environments.

📶AI Eval of the Weeek

(Courtesy of LayerLens )

Mistral Small 3.1 came out this week with some impressive results. The model seems very strong in programming benchmarks like Human Eval.

Mistral Small 3.1 also outperforms similar size models like Gemma 3.

🤖 AI Tech Releases

Claude Search

Anthropic added search capabilities to Claude.

Mistral Small 3.1

Mistral launched Small 3.1, a multimodal small model with impressive performance.

Model Optimization

Pruna AI open sourced its famout AI optimization framework.

📡AI Radar

NVIDIA acquired synthetic data platform Gretel AI.

Perplexity is raising a new round at $18 billion valuation.

SoftBank announced the acquisition of semiconductor platform Ampere Computing.

Data analytic company Dataminr raised $85 million in new funding.

AI security platform Orion Security emerged from stealth mode with $6 million in funding.

Roblox launched Roblox Cube, a new gen AI system for 3D and 4D assets.

Halliday blockchain-agentic platform raised $20 million in new funding.

ClearGrid raised $10 million to automated debt collection with AI.

Tera AI raised $7.8 million for its robotics navigation platform.

AI presentation platform Present raised $20 million in new funding.

[reviewrating]

 DeepSeak Review - The World's Most Powerful Ai  Including 150+ AI Premium Models, Zero Fees!

DeepSeak Review – Introduction

Hello, AI User! Welcome To My DeepSeak Review. I’m Lutfur Azad and I’m excited To Share My in-depth review of the DeepSeak - The World's Most Powerful Ai  Including 150+ AI Premium Models, Zero Fees! The Creator Of this AI Software is Venkatest.

Wall Street was dominated by companies like OpenAI, Google, and Microsoft until now.They have a complete monopoly over it… But not anymore. DeepSeek isn’t just another AI; it’s an open-source juggernaut with no corporate leash, no gatekeepers, and no limits.

 Hedge funds saw a 30% boost in speed analyzing data faster than ever while cutting costs to a fraction of what ChatGPT charges.

Massive industries dumped their old AI tools and switched to DeepSeek to automate workflows, saving billions in wasted time and money.

Even top tech CEOs are freaking out. One Fortune 100 executive (who asked to stay anonymous) admitted:

“DeepSeek Is The Biggest Threat We’ve Ever Faced In AI.” DeepSeek isn’t just shaking up Wall Street. It’s putting the power of AI into your hands. DeepSeek doesn’t just compete with these tools it obliterates them:

30x Faster Results: While ChatGPT struggles to process complex queries, DeepSeek solves them in milliseconds.

30x Cheaper API Costs: ChatGPT charges up to $20 per month DeepSeek gives you lifetime access with ZERO fees.

Infinite Capabilities: From generating 8K videos to rewriting articles, DeepSeek isn’t limited to just “chat” it does everything you can imagine.

If ChatGPT is the bicycle of AI, DeepSeek is a rocket ship.

DeepSeak Review – What is DeepSeak AI?

DeepSeak is the World’s First Deep Seek R1 AI App Includes All the 150+ Premium Ai Apps Such as Deep Seek, ChatGPT, Meta Llama 3.1, Gemini, Midjourney, Copilot, Dall-E, Leonardo, Synthesia, Pictory AI, Jasper AI, Deep Motion, Canva AI and More in 1 Dashboard for Lifetime Without Any Monthly Fee!

DeepSeek AI Is Open-Source and Unstoppable Unlike ChatGPT or Bard, It’s Completely Free From Corporate Control… Giving You Total Freedom To Innovate and Profit! Access Every AI Model You’ve Ever Wanted ChatGPT, MidJourney, Dall-E, Gemini, Synthesia, Jasper AI, And Over 150 More All From DeepSeek!

DeepSeak Review – DeepSeak AI Features

1. DeepSeek Unlocks Every Premium AI Tool In The World – All From One Dashboard

Why settle for just one AI when you can access 150+ premium AI tools in a single dashboard? DeepSeek puts the world’s most powerful AI models like ChatGPT, MidJourney, Gemini, DALL-E, and Llama at your fingertips, with no API costs or monthly fees. It’s the ultimate AI powerhouse, designed to replace every tool you’ve ever paid for.

2. Advanced AI Chatbots Built With DeepSeek Precision

DeepSeek redefines chatbot technology, delivering faster, smarter, and more responsive AI assistants than anything on the market. Forget ChatGPT DeepSeek’s advanced chatbots handle complex queries, provide accurate responses, and adapt to your needs instantly.

3. DeepSeek Delivers Lightning-Fast Results Build Websites In 9 Seconds

Forget hours of work or waiting for developers DeepSeek can create professional-grade websites in just 9 seconds. Whether for your business or clients, it’s never been this fast or easy to build an online presence.

4. Real-Time Live Chat Powered By DeepSeek AI

Interact with DeepSeek AI in real-time for instant answers, insights, and solutions.

Its advanced conversational capabilities make it feel like you’re talking to an expert no lag, no delays, just immediate results.

5. DeepSeek Automatically Fixes Plagiarism Ensures 100% Originality

Say goodbye to duplicate content issues forever. DeepSeek’s plagiarism checker not only detects copied text but rewrites it instantly, ensuring your work is always unique and high-quality.

6. Ask DeepSeek To Automate Anything No Experience Needed

With DeepSeek, you can automate tasks, workflows, and entire projects with zero tech skills.  From scheduling posts to managing data, it’s like having a personal assistant working 24/7 for you.

7. DeepSeek Writes Sales Copy That Converts Like Magic

Need sales copy for your business? DeepSeek’s advanced AI can create hypnotic, high-converting sales pages, emails, and ads in seconds. It’s like having a professional copywriter on demand without the cost.

8. DeepSeek Solves Complex Math and Debugs Code Instantly

Whether you’re solving advanced math problems or debugging messy code, DeepSeek handles it with ease. It’s like having a genius engineer and mathematician in your pocket, ready to help at any time.

9. Train DeepSeek To Know Your Business Like An Expert

Upload your documents, URLs, or data, and DeepSeek will learn and adapt to your specific needs. Whether you want it to handle customer inquiries or analyze trends, DeepSeek becomes an extension of your brain.

10. Train DeepSeek To Know Your Business Like An Expert

Upload your documents, URLs, or data, and DeepSeek will learn and adapt to your specific needs. Whether you want it to handle customer inquiries or analyze trends, DeepSeek becomes an extension of your brain.

11. Hollywood-Style 8K Videos, Powered By DeepSeek

Unleash DeepSeek’s groundbreaking video generation capabilities to create breathtaking, Hollywood-level 8K videos in seconds. Whether for your business, ads, or personal projects, DeepSeek’s unmatched technology turns your one-line prompts into cinematic masterpieces that leave audiences stunned.

12. DeepSeek Creates HD Images That Look Like Magic

DeepSeek isn’t just about power it’s about precision. With its state-of-the-art image-generation tools, you’ll create stunning, high-definition visuals faster and cheaper than ever before. From social media posts to marketing campaigns, DeepSeek brings your vision to life like no other.

13. Rewrite Content Like A Pro, Thanks To DeepSeek

DeepSeek’s article rewriting tool transforms any content into a unique, human-like masterpiece with just one click. Bloggers, marketers, and businesses can now generate plagiarism-free, polished content effortlessly, with results so good no one will believe it was AI-driven.

14. DeepSeek Empowers You To Create And Sell Unlimited Content

With DeepSeek’s built-in commercial license, you can create and sell limitless AI-generated assets videos, images, chatbots, and more. Keep 100% of the profits while delivering cutting-edge solutions to clients. No restrictions, no limits, just endless possibilities.

15. Train DeepSeek to Do Anything You Want

DeepSeek allows you to train its AI on text, images, documents, and even web URLs, making it the most adaptable and customizable AI tool ever created. Teach it to understand your business, automate workflows, or solve specific challenges it’s your personal AI genius.

16. Start Your Own Content Marketing Empire With DeepSeek

Why work for someone else when you can run your own agency?  DeepSeek’s 150+ AI tools empower you to launch a content marketing business that delivers jaw-dropping results for clients. It’s the ultimate side hustle or full-time venture.

17. No Monthly Fees Pay Once, Use Forever

DeepSeek doesn’t nickel-and-dime you like other platforms. For a low, one-time payment, you’ll own the world’s most powerful AI suite forever. Say goodbye to monthly fees and hello to unlimited potential.

18. AI Tailored to You Any Niche, Any Business!

Create ultra-smart AI assistants for health, eCommerce, dating, business, and beyond. Embed them on your website and watch them handle inquiries, book appointments, or even upsell for you.

19. Commercial License

When you get access to DeepSeak today. You will get a free commercial license which will allow you to create videos for any clients you want. Without paying a penny extra, and keeping 100% of the profit.

20. World-Class Support, Backed by DeepSeek’s Expertise

Have questions? Need help? DeepSeek’s 24/7 world-class support team is always available to assist you. Whether it’s technical setup or troubleshooting, we’ve got your back every step of the way.

21. 30 Days Money Back Guarantee

There is zero risk for you. You get to try DeepSeak for 30 days and if for any reason you don’t think it’s not worth its weight in gold. Just send us a message, and we will process your refund​.

>> Click Here To Get More Info & Get Instant Access <<