DeepSeek’s AI Disruption, Cyber Risks, & Student Chatbots

DeepSeek’s AI Disruption, Cyber Risks, & Student Chatbots

DeepSeek Debunked: Is AI Training Cheaper Than We Thought?

In early 2025, DeepSeek claimed they built an AI model on par with industry giants at a fraction of the cost. Their bold assertion of training a large-scale model for just $6 million sent shockwaves through the AI community. But is this a true breakthrough, or is there more to the story?

To separate fact from fiction, Marketing Coordinator Jessie Dibb sat down with Xyonix co-founder and Chief Data Scientist Carsten Tusk to break down the numbers, the technology, and what DeepSeek’s transparency means for the future of AI. From the real cost of training AI models to the significance of open-weight models, we uncover the reality behind the headlines.

3 Things You’ll Learn:

  • Why DeepSeek’s price tag isn’t as revolutionary as it seems. Find out why the actual cost of running these models is still sky-high, and why AI isn’t getting "cheap" anytime soon.
  • How DeepSeek’s open-weight model challenges OpenAI. Discover why making AI training data open-weighted (NOT open-source) is such a massive deal.
  • Will AI ever be truly creative? Hear why even advanced AI models are still just remixing human work, and why the future of creativity might depend more on human curators than AI itself.

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Can Hackers Hijack Your Chatbot? The Cyber Risks You Need to Know

In this episode of Your AI Injection, host Deep Dhillon sits down with Keith Hoodlet , Director of AI and ML Applications at Trail of Bits , to uncover how RAG systems, API endpoints, and LLM-powered chatbots can unintentionally become portals for cyber intruders. From prompt injection attacks to adversarial simulations, Keith breaks down the hidden vulnerabilities lurking beneath AI-driven applications, and how to defend against them.

If you’re building AI-powered tools, securing customer interactions, or just curious about how hackers exploit AI, this episode is a must-listen.

3 Things You’ll Learn:

  • Why your chatbot could be a hacker’s gateway. Find out how LLMs with RAG can accidentally expose internal documents, finance data, and HR records just by answering questions.
  • How adversarial bots are evolving. Discover why automated fuzzing and AI-driven penetration testing are making cybercriminals more dangerous than ever.
  • The #1 security mistake AI teams make. Learn how real-world vulnerabilities emerge at the intersection of AI and enterprise security.

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How to Bulletproof Conversational AI

Chatbots are changing the way we go about customer service, but their security vulnerabilities can lead to MASSIVE financial and reputational damage— just ask Air Canada or Chevrolet. At their core, these AI systems (while powerful) are designed to generate responses probabilistically, meaning they can sometimes fabricate information or be manipulated through clever attacks. Without rigorous security testing, your chatbot could be the next case study in AI gone wrong.

In this article, Xyonix co-founder and AI expert Deep Dhillon reveals four red team testing techniques that safeguard chatbots against hallucinations, adversarial exploits, and data leaks. Discover how to strengthen your AI system before it costs you more than just credibility.

3 Things You'll Learn:

  • How ground truth testing exposes security weaknesses. Find out how creating benchmark interactions and scoring chatbot responses can reveal vulnerabilities before they’re exploited.
  • Why input fuzzing is critical for chatbot resilience. Discover why feeding your chatbot unexpected inputs is essential to ensuring reliable and secure responses.
  • What adversarial attacks reveal about AI defenses. Explore how social engineering simulations and penetration testing uncover weaknesses in chatbot APIs, preventing attackers from manipulating responses or extracting sensitive data.

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Will AI Take Over Student Advising?

For college students, the right advice at the right moment could mean the difference between early graduation and dropping out. But with overburdened advisors and complex administrative processes, far too many students struggle to get the guidance they need. Could AI fill the gap? In this episode of Your AI Injection, Deep Dhillon sits down with Andrew Magliozzi , CEO at Mainstay to explore how AI-powered student coaching is transforming higher education.

With over 5 million students engaging with Mainstay’s AI each year, Andrew shares how conversational AI (paired with human oversight) helps students navigate college, stay accountable, and achieve academic success.

3 Things You'll Learn:

  • How AI-powered advising improves student success. Learn how AI-driven text-based coaching boosts enrollment, enhances persistence, and even bumps up GPA scores.
  • Why human advisors are still critical in AI-assisted coaching. Learn why research shows that AI triples its impact when collaborating with human advisors.
  • What AI coaching reveals about student struggles. Understand how AI-powered insights help colleges quickly detect student pain points early, and why that matters to students' mental health.

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