Deepseek challenges OpenAI - Who Wins?

DeepSeek launches a next-gen model to rival OpenAI, Microsoft arms its Security Copilot with autonomous agents

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Welcome to Tech Momentum!

AI is rewriting industries in real time. China’s DeepSeek challenges Western dominance, Microsoft automates cyber defense, and mining gets a high-tech upgrade. These three stories aren’t hype—they’re your new reality. And more news and a cool AI Tool and a great Video Tutorial…

Let’s break it all down!

Updates and Insights for Today

  1. DeepSeek’s Latest AI Model

  2. Earth AI’s Algorithms Uncover Overlooked Critical Mineral Deposits

  3. Microsoft Enhances Security Copilot with Autonomous AI Agents

  4. The latest in AI tech

  5. AI Tutorials: Run an AI model offline on your computer.

  6. AI tools to checkout

  7. AI Tool For Essay Writer

AI News

DeepSeek’s Latest AI Model Intensifies Competition with OpenAI

Quick Summary:
Chinese AI startup DeepSeek has unveiled an upgrade to its large language model, DeepSeek-V3-0324, aiming to rival industry leaders like OpenAI. The new model is now available on the AI development platform Hugging Face. 

Key Insights:
Enhanced Capabilities: DeepSeek’s latest model demonstrates significant improvements in reasoning and coding abilities compared to its predecessors. 
Strategic Positioning: By releasing this upgrade, DeepSeek intensifies its competition with U.S.-based AI firms, particularly OpenAI. 
Open Access: The model is accessible through Hugging Face, facilitating broader adoption and collaboration within the AI community. 
Rapid Advancement: DeepSeek’s swift development reflects China’s growing influence and capabilities in the global AI landscape. 

Why It’s Relevant:
DeepSeek’s advancements underscore the accelerating pace of AI development in China, challenging the dominance of established players like OpenAI. This development signifies a shift in the AI industry, highlighting the importance of global competition and innovation. For businesses and developers, it presents new opportunities and considerations in leveraging AI technologies.

📌 Read More: Forbes

 

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Earth AI’s Algorithms Uncover Overlooked Critical Mineral Deposits in Australia

Quick Summary:
Earth AI, a mining startup, has utilized artificial intelligence to identify significant deposits of critical minerals in Australian regions previously dismissed by traditional mining companies. This approach combines historical geological data with AI algorithms to expedite mineral discovery. 

Key Insights:
Innovative AI Application: Earth AI employs advanced algorithms to analyze extensive geological datasets, enabling the identification of mineral-rich areas that conventional methods have overlooked. 
Significant Discoveries: The company has pinpointed deposits of copper, cobalt, and gold in the Northern Territory, and silver, molybdenum, and tin in New South Wales. 
Overcoming Industry Skepticism: To validate its AI-driven predictions, Earth AI developed proprietary drilling equipment, demonstrating the practicality and accuracy of its technology. 
Rapid Technological Advancement: Earth AI’s methodology significantly reduces the time required for mineral exploration, addressing the inefficiencies of traditional, decades-long processes. 

Why It’s Relevant:
The integration of AI in mineral exploration represents a paradigm shift in the mining industry, offering a faster and more efficient alternative to traditional methods. Earth AI’s success highlights the potential of technology to uncover new resources critical for various industries, including electronics and renewable energy. This development not only accelerates the discovery process but also challenges conventional industry practices, paving the way for more innovative and sustainable approaches in mining.

📌 Read More: Techcrunch

 

Microsoft Enhances Security Copilot with Autonomous AI Agents

Quick Summary:
Microsoft is expanding its Security Copilot by introducing six autonomous AI agents designed to assist security teams in managing high-volume tasks such as phishing alerts and vulnerability monitoring. 

Key Insights:
Autonomous Assistance: The new AI agents can independently handle tasks like processing phishing and data loss alerts, prioritizing critical incidents, and monitoring for vulnerabilities, integrating seamlessly with Microsoft Security solutions. 
Third-Party Collaborations: Microsoft is partnering with companies like OneTrust and Aviatrix to develop additional security agents, enhancing capabilities such as data breach analysis and root cause analysis of network issues. 
Phishing Protection in Teams: Starting next month, Microsoft Defender for Office 365 will extend its protection to Microsoft Teams users, offering improved defense against phishing and cyber threats, including malicious URLs and attachments. 

Why It’s Relevant:
As cyber threats become more sophisticated, security teams face increasing workloads. Microsoft’s introduction of autonomous AI agents in Security Copilot aims to alleviate this burden by automating routine tasks, allowing professionals to focus on more complex security challenges. This development signifies a shift towards integrating AI-driven solutions in cybersecurity, enhancing efficiency and responsiveness in threat management.

📌 Read More: The Verge – Meta AI Memory

 

 

 

 AI Tutorials

This Free AI System Will Create Unique Content in Seconds!

Quick Summary:

This video explains how to build a fully automated, AI-powered content creation workflow using no-code tools. With a single input (e.g., “email marketing”), the system searches the web, extracts ideas, and generates a complete blog post—ready to publish.

Key Insights:

Smart Automation: Enter a topic → run search → extract content → summarize → generate blog.
No-Code Tools: Uses Make, Serper API, a custom content extraction app, and OpenAI.
Free Resources: Viewers get free access to the app, Make Pro plan, and ready-to-use workflows.
Flexible Outputs: Generate blog posts, social media content, research papers, or YouTube scripts.

What is the Video About?

The video is a step-by-step guide on how to build an AI automation system that takes a user-entered topic, searches the web, summarizes the best content, and generates high-quality blog posts using OpenAI—all without writing a single line of code.

What Can I Learn?

• How to connect and use Make as a no-code automation platform

• How to extract and summarize online content using a custom-built app

• How to generate high-quality AI-written blog posts with a single click

• How to build a scalable content pipeline or service offering

Which Benefits Do I Get?

 Save hours of manual content research and writing

 Publish faster with automated content generation

 Repurpose the workflow to generate tweets, scripts, or research

 Monetize the system by offering AI-powered content as a service

 Get everything for free, including app access, workflows, and Make Pro trial

Why It’s Relevant:

This video empowers creators, marketers, and freelancers to automate content creation with minimal effort. It removes the manual steps of research and writing, saving time and boosting productivity. Even better, it’s entirely free to implement and can be repurposed to offer content services to clients.

Here is the full Video Tutorial 👉 Click Here

 

 

The latest in AI tech

Ant Group Reduces AI Training Costs with Domestic Chips

Ant Group, Alibaba’s affiliate, has achieved a 20% reduction in AI training expenses by utilizing domestically produced Chinese chips, matching the performance of Nvidia’s H800. This highlights China’s push for hardware independence.

Character.AI Introduces ‘Parental Insights’ for Teen Users

Character.AI now offers a feature where teens can share weekly summaries of their chatbot activity with parents—without revealing conversation details. It’s a step toward more transparency and safer use for minors.

Dallas Uses AI to Improve City Operations

The City of Dallas is integrating AI to streamline services—automating tasks like grammar checking, fire inspection prioritization, and even analyzing overdose data. A bold leap for local government innovation.

MIT Engineers Artificial Muscles for Soft Robots

MIT has developed soft robotic muscles inspired by the human iris. These flexible structures, guided by microscopic grooves, could revolutionize the design of lifelike, responsive robots.

 

 

 AI Tools to check out

  1. Finalscout: ChatGPT-Powered Email Finding & Outreach

  2. Kickresume: Best AI Resume Builder

  3. Yatter: ChatGPT Assistent For WhatsApp & Telegram

  4. Stockimg: For Everything Around Design

 

 

AI Tool

PerfectEssayWriter

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📌 Tool Website: PerfectEssayWriter

 

 

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