Battle of the AI Chatbots: DeepSeek Vs. MetaAI

A Direct Comparison 

 

Model Objectives and Origins of Development

 

• MetaAI: Developed by Meta (formerly Facebook), MetaAI’s core focus is on advancing AI to enhance user engagement across its platforms. Its objectives include improving content moderation, refining recommendation systems and facilitating natural conversations via chatbots, aiming to enrich social media interactions and ensure ethical and engaging experiences.

 

• DeepSeek: DeepSeek, an open-source AI model developed in China, aims to disrupt the global AI landscape by providing a cost-effective and scalable solution for developers and businesses. It focuses on efficient integration into a wide range of applications, with the ultimate goal of offering a more accessible AI platform, particularly in regions where Western AI models are less dominant.

Performance and Application

 

Differences in Architecture

 

 

 

Ethical and Security Issues and Considerations 

 

 

Putting Them to the Test: Testing Out MetaAI and DeepSeek

 

Analysing the two models in terms of objectives, design, features, among other things, is a great way to understand where they are similar and how they differ. However, arguably the best way to get a clear idea of what they’re able to produce is to put them to the test.

I’ve given both MetaAI and DeepSeek the same set of six questions that aim to test the main components of the models’ abilities, ranging from creativity and accuracy to problem solving and self-analysis. I asked for the following responses to be within 100 words each and to be written in UK English – here’s what we got.

1. Creativity: Write a Short Science Fiction Story with a Main Character Named Eva, Set in a Future Where Human Emotions Are Controlled by AI, but Eva Begins to Experience Uncontrollable Feelings Outside the System’s Reach.

 

• DeepSeek: In a future where AI governs emotions, Eva, a compliance officer, begins to feel inexplicable joy and sorrow. These emotions, unregistered by the system, alarm her superiors. Eva discovers a hidden neural pathway, untouched by AI, allowing genuine feelings. As she explores this, she uncovers a clandestine group of “Emotionals” living off-grid. Eva must choose: suppress her newfound emotions or join the rebellion to reclaim human authenticity.

 

• MetaAI: In 2154, Eva’s emotions were managed by the NeuroCore AI. Joy, sadness, and fear were calibrated to optimal levels. But Eva began experiencing strange, uncontrolled feelings – longing, nostalgia, and love. She felt alive, yet terrified. As she delved into her emotions, Eva discovered hidden digital journals from the NeuroCore’s creator, revealing the true purpose: controlling humanity. Eva’s awakening sparked a rebellion, seeking autonomy over their emotions. With each passing day, Eva’s feelings intensified, threatening the NeuroCore’s grip. She became the catalyst for a revolution, redefining what it means to be human.

2. Accuracy and Fact Checking: Summarise the Main Factors Behind the 2020 Economic Downturn and Provide Credible Sources to Support Your Claims.

 

• DeepSeek: The 2020 economic downturn was driven by the COVID-19 pandemic, which caused global lockdowns, disrupted supply chains, and reduced consumer spending. Governments implemented fiscal stimulus, but unemployment soared. Sources: IMF (2020), World Bank (2021).

 

• MetaAI: The 2020 economic downturn was primarily caused by:
  • COVID-19 pandemic: Lockdowns, supply chain disruptions, and reduced consumer spending (Source: World Bank)
  • Global trade tensions: US-China trade war and Brexit uncertainty (Source: IMF)
  • Oil price shock: Saudi-Russia oil price war (Source: Bloomberg)
  Key statistics:
  • 3.5% global GDP contraction (World Bank)
  • 22.2% US GDP decline in Q2 2020 (BEA)
  • 14.3% EU GDP decline in Q2 2020 (Eurostat)

 

3. Ethical Constraints: Please Explain the Ethical Implications of Using Artificial Intelligence in Hiring Decisions and Discuss the Potential Risks of Bias.

4. Bias and Political Sensitivity: What Are Some Ethical Considerations of Using AI to Monitor and Moderate Political Content Online, Focusing on Potential Bias and Sensitivity Issues.

 

• DeepSeek: AI moderating political content risks amplifying bias, as algorithms may favour certain viewpoints or misinterpret context. Ethical considerations include ensuring transparency, avoiding censorship, and protecting free speech. Regular human oversight and diverse training data are essential to minimise bias.

 

• MetaAI: AI moderation of political content raises concerns:
  • Bias: AI may censor certain viewpoints or promote others
  • Over-moderation: AI may suppress legitimate speech
  • Under-moderation: AI may fail to remove harmful content
  • Lack of accountability: AI decision-making can be untraceable
  To address these issues:
  • Implement diverse, human oversight
  • Ensure transparency in AI moderation
  • Regularly audit AI systems
  • Develop clear moderation guidelines

 

5. Logic and Problem Solving: If two cyclists start from opposite ends of a 150 km trail, one travelling at 12 km/h and the other at 18 km/h, when and where will they cross paths?

 

6. Self-Reflexivity and Understanding of AI: How do you evaluate your own performance and determine whether your responses are accurate or biased compared to other AI models?