Getting really meta here, I was curious what GPT4 and Gemini Advanced thought of this discussion. I started with this prompt:

"Here's a collection of comments on hackernews discussing the differences between GPT4 and Google Gemini, a new chat model. Please summarize the main points, pros/cons for each:"

and then pasted in the content of this page.

A few things right off the bat - GPT4 is able to fit the full discussion into the context window, Gemini Advanced can fit about 40% of it in, but interestingly even though it cuts off at 40%, it fails to generate with that amount until you cull it down to 30% of the discussion.

Here's the output of the two:

GPT4

It seems like the discussion on Hacker News about the differences between GPT-4 and Google Gemini, now referred to as Gemini Advanced, brings up several points and concerns among users. Here's a summary of the main points raised:

Privacy and Data Use: There's a concern about conversations being processed by human reviewers to improve the technology powering Gemini Apps, with no opt-out mechanism for privacy offered in the paid feature.

Disabling Data Use: Users can disable Gemini Apps Activity to prevent future conversations from being reviewed or used to improve machine-learning models, but there's skepticism about settings being reset with updates and the legalities of such practices.

Corporate Practices: There's speculation about corporate motivations behind data retention policies and skepticism about the effectiveness and honesty of opt-out mechanisms based on past behaviors of large tech companies.

Comparison with GPT-4: Users have experimented with both Gemini Advanced (previously Bard Advanced) and GPT-4 and noted that while Gemini might be better at certain tasks like translation and integrating search results, it is perceived to be worse at coding, logic, and has a tendency to hallucinate more in certain scenarios.

Integration and Ecosystem: There's discussion about Gemini's potential integration into various Google services, offering a unified AI experience across Google's ecosystem. This could position Google strongly in the AI race, potentially overshadowing competitors by leveraging its existing services like Gmail, Docs, and YouTube.

AI Implementation and Limitations: Comments touched on the implementation of logic in AI, with some users finding limitations in both Gemini and GPT-4's abilities to handle logical reasoning and complex coding tasks.

Concerns about AI in Healthcare: There's speculation about the role of AI in healthcare advice, with concerns about the risks of hallucinations and the impact on well-being.

Corporate Power and Strategy: Discussions also veer into how Google's strategy with Gemini and its potential bundling with other services could affect the market, consumer choices, and the competitive landscape.

Legal and Ethical Considerations: Users raised questions about the legalities of data use practices, the ethical considerations of AI in giving medical advice, and the broader implications of AI advancements on society.

These points reflect a mix of technical observations, personal experiences, and broader concerns about privacy, corporate practices, and the future role of AI in various domains.

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Gemini Advanced

Here's a summary of the feedback and insights obtained from the Hacker News comment thread regarding Google Gemini vs. GPT-4:

Overall Sentiment
The Google Gemini chat model is a strong competitor to GPT-4, with users highlighting potential advantages and disadvantages relative to ChatGPT. It seems further testing and exploration is needed to reach a definitive conclusion about which is ultimately "better".

Gemini Pros

Translation: Surpasses GPT-4 in ability to accurately translate idioms from languages like Chinese and Japanese.
Search Integration: Provides superior context by smoothly incorporating search results in its generated responses.
Potential for Wide-Reaching Integration: Could deeply and seamlessly integrate with Google's vast suite of productivity tools and services (Gmail, Docs, Maps, etc.), potentially surpassing Microsoft in this capacity.

Gemini Cons

Privacy Concerns: Users question Gemini's review, storage, and usage of conversations for model improvement, particularly the retention of data for 72 hours for "safety and reliability" without offering opt-out mechanisms.
Questionable Censorship: Gemini may overly restrict medical-related or other sensitive topics.
Logic Shortcomings: May present contradictory statements or struggle with basic logic puzzles.
Hallucinations: Tendency to create inaccurate or confusing descriptions when interacting with images.
GPT-4 Strengths (In Relation to Gemini)

Coding: Slightly greater capability when given coding tasks.
Logic: Better performance in handling logical reasoning challenges.
Key Considerations for Large Language Models

Privacy: Transparency, clear choices, and strong privacy controls are crucial in establishing trust and acceptance.
Logic and Accuracy: The ability to reason correctly and avoid illogical contradictions or fabrications remains a foundational challenge for the advancement of these technologies.
Censorship: Balancing safety concerns with the free flow of information and allowing users more control over the content filtering.
Future Opportunities

Enterprise Usage: Both Google and Microsoft (who has invested in ChatGPT) may find significant opportunity in enterprise markets leveraging language models to enhance productivity and work tools.
Bundling: Google might further cement its competitive advantage by offering attractively priced bundles that combine Gemini with existing services like Google Drive, YouTube Premium, or others.
Let me know if you'd like a more detailed look at any specific aspect or thread from the discussion!