In the fourth round of AI Madness DeepSeek vs Meta face off against each other with the same five prompts I used in the last three rounds. In case you missed it, yesterday Gemini and Mistral faced off. Here's a little about the competitors going head-to-head today.

Meta AI

Meta AI is the AI division of Meta Platforms, focusing on advancing AI technologies and their integration into Meta's products and services. In addition to integrating within Meta platforms such as Instagram, Facebook, and WhatsApp, Meta has been integrated into the second generation of Ray-Ban Meta Smart Glasses. Meta AI also has a standalone platform.

DeepSeek

DeepSeek made waves earlier this year when the Chinese chatbot sparked intrigue and controversy within the AI community. The advanced model has been recognized for its advanced capabilities and cost-efficiency, positioning it as a strong competitor to models like OpenAI's ChatGPT.

In evaluating Meta AI versus DeepSeek, I tested both platforms across five specific criteria to determine their strengths and weaknesses. Here’s a breakdown of how they performed and the ultimate winner.

1. Accuracy & factuality

Meta AI did not answer the question correctly. DeepSeek did not answer the question correctly. Winner: Meta AI wins. Technically neither chatbot should win this round. However, Meta delivered the more accurate answer and aligns closer to the actual box office figures for 2024.

2. Creativity & natural language

Meta AI lacked the whimsical tone requested in the prompt. It presented the debate in a more formal manner, which doesn't fully capture the playful essence I requested. DeepSeek stands out for its creativity and engagement. The dialogue is lively, with the coffee mug and smartphone exchanging witty banter that highlights their respective roles in daily routines. The use of playful language and personification adds depth to their characters, making the conversation both entertaining and relatable. Winner: DeepSeek wins for delivering a truly whimsical and imaginative exchange between the two subjects and closely responding to the prompt.

3. Efficiency & reasoning

Meta AI used clear headings with bullet points that provided insightful analyses covering key factors such as cost, environmental impact, incentives and more. DeepSeek offered a more narrative and nuanced discussion of each factor but presented fewer bullet points within each factor. Winner: Meta AI wins for an easy-to-follow response with helpful information and extra tips.

4. Usefulness & depth

Meta AI provided a list of backup options and suggestions including mistakes to avoid and best practices. DeepSeek detailed a variety of backup options and encryption tools as well as including best practices, advising users to organize their files and recommends scheduling regular backups. Winner: DeepSeek wins for a more comprehensive and actionable guide, detailing specific tools and practices to enhance data security.

5. Understanding context

Meta AI delivered an informative outline, but the AI lacked imagination and detailed elements for a more interactive storyline that a young audience would appreciate. DeepSeek created a vivid and engaging narrative that included interactive sorting games, recycling transformation and a celebratory cleanup to captivate a young audience. Winner: DeepSeek wins for an approach that not only educates but also entertains with a story that is acceptable for all audiences.

Overall winner: DeepSeek

These two AI models are very different in their abilities and tone, so I had no idea what to expect going in to this experiment. However, after running the structured tests comparing Meta AI and DeepSeek across various tasks, DeepSeek emerged as the overall winner, consistently providing well-structured, informative responses that were both engaging and creative. The responses seemed more thoughtful and often added extras to ensure the prompt was fully answered, making it the overall winner in this challenge.