#agentic ai

[jcmarchi]

DeepSeek's AI breakthrough: Fewer resources, big impact

New Post has been published on https://thedigitalinsider.com/deepseeks-ai-breakthrough-fewer-resources-big-impact/

DeepSeek's AI breakthrough: Fewer resources, big impact

On December 26th, a modest-sized Chinese company named DeepSeek introduced advanced AI technology, rivaling the top chatbot systems from giants like OpenAI and Google.

This achievement was noteworthy for its capability and the cost-efficiency with which it was developed. Unlike its large competitors, DeepSeek created its artificial intelligence, DeepSeek-V3, using significantly fewer specialized processors, which are typically essential for such advancements.

Cost efficiency and technological breakthrough

These processors are at the heart of a fierce tech rivalry between the U.S. and China. The U.S. aims to keep its lead in AI by restricting the export of high-end chips, such as those from Nvidia, to China.

However, DeepSeek’s success with fewer resources raises concerns about the effectiveness of U.S. trade policies, which have inadvertently spurred Chinese innovation using more accessible technologies.

DeepSeek-V3 impressively handles tasks like answering queries, solving puzzles, programming, and matching industry standards. Remarkably, it was developed with just around $6 million worth of computing resources, starkly contrasting the $100 million Meta reportedly invested in similar technologies.

Chris V. Nicholson from Page One Ventures pointed out that more companies could afford $6 million than the heftier sums, democratizing access to advanced AI technology.

Strategic implications and global impact of DeepSeek

Previously, experts believed only firms with substantial financial resources could compete with leading AI firms, which train their systems on supercomputers requiring thousands of chips.

DeepSeek, however, managed with just 2,000 chips from Nvidia. This efficient use of limited resources reflects the forced innovation resulting from chip restrictions in China, as Jeffrey Ding from George Washington University noted.

Recently, the U.S. tightened these restrictions to prevent China from acquiring advanced AI chips via third countries. This is part of ongoing efforts to limit Chinese firms’ potential military use of these technologies, which have resorted to stockpiling chips and sourcing them through underground markets.

ChatGPT vs Bard: What are the top key differences?

We’re taking a look at Bard vs ChatGPT and their key differences like technology, internet connection, and training data.

DeepSeek, a company rooted in quantitative stock trading, has been leveraging its profits to invest in Nvidia chips since 2021, fueling its AI research rather than consumer products. This focus has allowed it to bypass stringent Chinese regulations on consumer AI, attracting top talent and exploring diverse applications from poetry to complex examinations.

While leading U.S. firms continue to push AI boundaries, DeepSeek’s recent achievements underline its growing prowess in the field. It also highlights the broader shift towards open-source AI, gaining traction as companies like Meta openly share their technologies. This shift increasingly positions China as a central player in AI development, posing a strategic challenge to U.S. dominance in the field.

As the debate continues over the potential risks of open sourcing AI in the U.S., such as spreading misinformation, the global open source community, increasingly led by China, might shape the future of AI development, suggesting a significant geopolitical shift in the technology landscape.

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[peterbordes]

Nvidia’s Jensen Huang says AI agents are ‘a multi-trillion-dollar opportunity’ at last nights CES AI keynote. Let that “multi Trillion” sink in, because this global movement is just getting started.

[procurement-insights]

The Links Between Agentic AI, Strand Commonality, Similarity Heuristics, Iterative Methodologies And Why It is Important to Procurement

Why are the links between Agentic AI, Strand Commonality, Similarity Heuristics, Iterative Methodologies critical to ProcureTech Success?

My First Procurement Insights Post on Strand Commonality (Excerpt) – Optimization Modeling and the Modern Supply Chain (A PI Q and A) by Jon Hansen (March 2008) Numerous studies and reports have been published on the various methods (e.g., Monte Carlo) used to determine supply chain optimization. I would have to say that my preferred method has been to use the heuristic approach under an…

[usaii]

9 TRENDING TECHNOLOGY FORECAST FOR 2025 | Infographic | USAII®

Learn Agentic AI, Neuromorphic computing, and many other tech trends rising in 2025. Stay ahead with the best AI ML certifications to gain skill strength.

Read more: https://shorturl.at/r6w5U

Agentic AI, generative AI chatbots, Neuromorphic computing, Post-Quantum Cryptography, large language models (LLMs), AI algorithms, Machine Learning algorithms, Best AI Certification, AI Engineer, ML Engineer

[wedesignyouny]

Agentic AI: The Future of Autonomous Intelligence

Introduction

Agentic AI is transforming the way machines operate, enabling them to act autonomously with minimal human intervention. But what exactly is Agentic AI, and why is it significant? Let’s dive deep into this groundbreaking technology.

Understanding Agentic AI

Definition and Core Principles

Agentic AI refers to artificial intelligence systems that function as independent agents, capable of making decisions and executing actions without direct supervision. These systems can analyze data, learn from experiences, and adapt to new scenarios.

Differences Between Agentic AI and Traditional AI

Unlike traditional AI, which relies on predefined algorithms and datasets, Agentic AI operates dynamically. It continuously evolves based on its interactions, making it more flexible and self-sufficient.

How Agentic AI Works

Autonomous Decision-Making

Agentic AI uses advanced machine learning models to evaluate situations and make informed choices. It assesses probabilities, risks, and potential outcomes before executing actions.

Learning and Adaptation

These AI systems improve over time by learning from their experiences, refining their decision-making processes, and optimizing for better results.

Applications of Agentic AI

Business and Finance

Agentic AI is revolutionizing industries by automating trading strategies, optimizing business operations, and enhancing customer interactions through intelligent chatbots.

Healthcare and Medicine

In the medical field, Agentic AI aids in diagnosing diseases, recommending treatments, and even assisting in robotic surgeries, ensuring greater precision and efficiency.

Smart Cities and Infrastructure

From traffic management to energy distribution, Agentic AI helps cities become more efficient and sustainable by making real-time adjustments based on data analytics.

Robotics and Automation

Self-driving cars, drones, and industrial robots are powered by Agentic AI, allowing them to navigate complex environments without human intervention.

Benefits of Agentic AI

Efficiency and Productivity

Agentic AI enhances efficiency by automating complex tasks, allowing humans to focus on creative and strategic work.

Reducing Human Errors

With intelligent decision-making, these AI systems minimize the risk of human mistakes, improving accuracy across various domains.

Scalability and Adaptability

Agentic AI can scale operations without additional resources, making it ideal for businesses looking to expand seamlessly.

Challenges and Ethical Concerns

Bias and Fairness

AI systems may inherit biases from training data, leading to unfair outcomes. Addressing these biases is crucial for ethical AI deployment.

Security Risks

Autonomous AI can be vulnerable to cyberattacks, raising concerns about data privacy and security.

Job Displacement

While Agentic AI improves efficiency, it may replace human jobs, necessitating workforce reskilling initiatives.

Future of Agentic AI

Innovations and Trends

Advancements in deep learning, reinforcement learning, and neural networks will continue to enhance the capabilities of Agentic AI.

Impact on Society

As Agentic AI becomes more integrated into daily life, its ethical and regulatory frameworks must evolve to ensure responsible usage.

Conclusion

Agentic AI represents a revolutionary shift in artificial intelligence, paving the way for smarter, more autonomous systems. While challenges exist, the benefits of Agentic AI far outweigh the risks, making it a promising technology for the future.

FAQs

1. What is the main goal of Agentic AI?

The primary goal is to create autonomous AI systems that can make decisions and take actions without human supervision.

2. How does Agentic AI differ from traditional AI?

Agentic AI operates independently, adapting and learning from experiences, while traditional AI follows preprogrammed rules.

3. Is Agentic AI safe?

Safety depends on ethical AI development and robust security measures to prevent misuse.

4. Will Agentic AI replace human jobs?

While it may automate certain tasks, it also creates new opportunities requiring human expertise.

5. What industries benefit the most from Agentic AI?

Industries like healthcare, finance, robotics, and smart infrastructure gain significant advantages from Agentic AI.

[ailoitte]

🤖 Agentic AI vs AI Agent: What’s the Difference?

AI is getting smarter! But do you know the difference between Agentic AI and AI Agents? While AI agents follow pre-defined rules, Agentic AI is more goal-oriented and adaptable, making it a game-changer in automation.

💡 Wondering which AI approach is shaping the future? Read this detailed breakdown: [https://www.ailoitte.com/blog/agentic-ai-vs-ai-agents-comparison/]

[zackriya-solutions]

Check our Agentic AI services for you business. Best Agentic AI development Company in USA

[fayazdev]

Drug interaction AI Agent

Not sure how much work was done on this field, but patient facing open drug interaction database and AI Agent working on that database can be really useful.

Will have to keep this in my radar.

A few relevant links

Webmd Drug interaction checker tool.

A paper on drug interaction database.

Drug data by drugbank.com

[pinnacledxbdubai-blog]

Agentic AI: Revolutionising Business Operations and Strategic Growth in the UAE | Pinnacle Blog Agentic AI is a transforming agent in the fast-changing terrain of artificial intelligence. Agentic artificial intelligence differs from generative AI models like ChatGPT, which concentrate on creating human-like language. Agentic AI consists of autonomous AI agents able to carry out tasks matched with specific company objectives, promoting operational efficiency and strategic development. What is Agentic AI? Agentic artificial intelligence is the state of systems intended to run with significant autonomy, making decisions and completing tasks free from ongoing human intervention. Goal-oriented, context-aware, and flexible, these artificial intelligence agents help to manage challenging, multi-stage operations across several corporate departments. Contact us now sales@pinnacledxb.com.

[procurement-insights]

The Evolutin of the Agent-Based AI Operating System

What is asymmetric co-learning between human and AI?

The vision becomes an exciting reality! Well done, Shaun Syvertsen and the ConvergentIS team. For those who have been following Procurement Insights from the beginning, this is the evolution from the human-led agent-based Metaprise model to the Agent-based AI operating system. The key to sustainable success is the ongoing training dynamic between humans and RIO –…

[digiworkforce]

Master AI Agent Implementation with our AI Agent Advanced Course. Become a proficient AI Business Analyst and elevate your career. Enroll now for €499!

[infovistar]

Artificial Intelligence (AI) is rapidly reshaping the way industries operate, bringing new opportunities and challenges. In 2025, AI agent tools are evolving to make development easier, faster, and more efficient. These tools empower businesses, developers, and industries to work smarter and achieve more.