#Gemini vs DeepSeek: Google event post report

This is my post about attending a Google event: Gemini vs. DeepSeek. It was an interesting experience, and the reason I wanted to share this post is to give insights into top-tier tech events and encourage everyone to explore state-of-the-art technology.

#About the Deepseek

For anyone who have not to found deepseek yet, this is AI model from research-focused company called Deepseek.

www.deepseek.com

DeepSeek | 深度求索

深度求索（DeepSeek），成立于2023年，专注于研究世界领先的通用人工智能底层模型与技术，挑战人工智能前沿性难题。基于自研训练框架、自建智算集群和万卡算力等资源，深度求索团队仅用半年时间便已发布并开源多个百亿级参数大模型，如DeepSeek-LLM通用大语言模型、DeepSeek-Coder代码大模型，并在2024年1月率先开源国内首个MoE大模型（DeepSeek-MoE），各大模型在公开评测榜单及真实样本外的泛化效果均有超越同级别模型的出色表现。和 DeepSeek AI 对话，轻松接入 API。

#AI & Multi-Agent Models

We started by discussing how Large Language Models (LLMs) could become cheaper than hiring humans.

One example we explored was in legal disputes. Imagine a scenario where the outcome of a lawsuit is determined by the quality of an AI lawyer—the better the AI, the higher the chances of winning. This could lead to massive disruptions in finance, law, and other industries, potentially making legal authority unfair.

A thought-provoking scenario we discussed was whether AI lawyers could eventually replace human lawyers altogether, leading to a world where legal disputes are entirely handled by AI, without human involvement.

#LLM cheaper than Human

But let's face the reality, AI is becoming better and better and less cost effective these days.

There was a case where lawyer cites fake cases generated by ChatGPT in legal brief in early 2023. I think there would be a case where legal AI is adapted to real case, sooner or later.

www.forbes.com

Lawyer Used ChatGPT In Court—And Cited Fake Cases. A Judge Is Considering Sanctions

The attorney said in a filing that he didn’t understand ChatGPT “was not a search engine, but a generative language-processing tool.”

#Multi-agent: What they talk?

Another business owner introduced the concept of multi-agent AI models, where different AI systems communicate before providing an answer, theoretically leading to better decision-making.

Peter then asked "What do these AI models actually talk about?". We debated whether the conversations between AI models significantly influence decision-making and outcomes.

#LLM talks so we don't have to talk?

Peter also come up with a futuristic idea where we have our AI model instance so that we do not have to talk in person, but our ideas are transmitted fluently.

My thought after this is that if AI have a dream like human see a dream when we sleep. AI has numbers of question answering every seconds. Hypothetically speaking if AI has a rest, do they take a break and see a dream to organize their thoughts as of indexing their memory?

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#Business Aspects Talk

Here are couple of interesting conversation between Peter and participants.

#Reference to a business in Brazil.

One of the participants, a business owner from Brazil, shared how his company implemented an AI-powered customer support system, reducing 70% of customer interactions with human agents while improving service quality.

#Frustration wins over convincing AI bot

Peter, the host of the event, raised a concern. He shared a personal experience where he was unknowingly charged 20 per month for a service he no longer needed. When he attempted to cancel the subscription, he was stuck in an endless loop with an AI chatbot and never got through to a human.

Frustrated, he eventually gave up and continued paying. This sparked a discussion about whether AI-driven customer support truly improves efficiency or just frustrates users into compliance.

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#Technical Concepts

#Distillation - big model to train small model.

#Open Source/Closed Source.

We also explored the difference between open-source and closed-source AI models. As we know, ChatGPT (OpenAI) is closed-source, while DeepSeek’s latest model is open-source. We compiled a list of characteristics for each type

Open Source AI ✅	Closed Source AI 🚫
Cheap	Expensive
Worldwide	Restricted
Collaborative	Centralized
Flexible	Controllable
Private	Encapsulated
Transparent	Opaque
Hackable	More Secure
Runs on the edge (local)	Cloud-based (provider-dependent)
User owns data	Dependent on provider
Community-driven	Highly profitable for companies

www.linkedin.com

LinkedIn

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#Prisoner Dilemma

The Prisoner’s Dilemma is a classic game theory question where two prisoners must decide whether to cooperate or betray each other.

• If both cooperate, they each get 3 points.
• If one defects while the other cooperates, the defector gets 2 points, and the cooperator gets 0 points.
• If both defect, they each get 1 point.

We applied this concept to Gemini vs. DeepSeek.

• Gemini initially chose to collaborate—showing that it is more trustworthy and cooperative.
• DeepSeek immediately chose to defect, seeking a competitive advantage.
• However, after this initial round, both models continued to defect, leading to a final score of DeepSeek = N+2 and Gemini = N.

This experiment highlighted how Gemini appears to be more cooperative, while DeepSeek is more ruthless and strategic.