Google DeepMind’s new Gemini model looks amazing—but could signal peak AI hype - MIT Technology Review

( December 6, 2023; MIT Technology Review )

Description: "It outmatches GPT-4 in almost all ways—but only by a little. Was the buzz worth it?"

I asked Google Bard to list 5 ways that Google's new Gemini model could improve the blogging and reading experiences on the Steem blockchain, and here's what it said:

## 5 Ways Google's "Gemini" Model Could Improve Blogging and Reading on Steem

1. Content Personalization:

- Gemini could analyze user preferences and past reading history to curate personalized content feeds, ensuring users see articles relevant to their interests. This would enhance the reading experience by reducing irrelevant content and exposing users to new topics they might enjoy.

2. Improved Search:

- Gemini's advanced semantic understanding capabilities could revolutionize search on Steem. Users could query for specific topics, concepts, or even writing styles, and Gemini would identify relevant articles with high accuracy. This would significantly improve content discoverability and allow users to quickly find the information they're looking for.

3. Enhanced Content Quality:

- Gemini could analyze existing content on Steem and suggest edits for grammar, clarity, and style, helping writers create more polished and engaging articles. Additionally, Gemini could detect plagiarism and ensure originality and high-quality content on Steem.

4. Automated Content Moderation:

- Gemini could automate the moderation process on Steem by identifying and flagging inappropriate or harmful content. This would free up human moderators to focus on complex issues and ensure a safe and welcoming environment for all users.

5. Improved Author-Reader Engagement:

- Gemini could facilitate better communication and engagement between authors and readers. It could analyze reader comments and provide insights to authors, helping them understand how their content is being received and make adjustments accordingly. Additionally, Gemini could help personalize author responses, creating a more meaningful interaction.

Additional Potential Benefits:

* Gemini could help improve Steem blog monetization by providing insights into reader engagement and helping authors optimize content for maximum exposure and rewards.

* Gemini could be used to develop innovative blogging features on Steem, such as personalized recommendations, reading lists, and curated content collections.

* Overall, integrating Google's "Gemini" model on Steem has the potential to significantly improve the blogging and reading experiences for both authors and readers, fostering a more vibrant and engaging community.

Note: These are potential applications. Actual implementation would require careful consideration and collaboration between the Steem community and Google.

Personally, I think it missed another compelling possibility where a copilot-like capability could be built into the blog editor to help authors with article grammar, structure, and organization.

Here is a video that Google released to showcase the model's multimodal capability:

And you can already try it out with Google's Bard chatbot.

There's also some short and interesting commentary from Gary Marcus, Hot take on Google’s Gemini and GPT-4. Like Sherlock Holmes' dog that didn't bark, maybe the biggest thing here is that Gemini is only marginally better than OpenAI's GPT-4 (if at all), and GPT-5 is still nowhere to be found.

From the article:

It’s a big step for Google, but not necessarily a giant leap for the field as a whole. Google DeepMind claims that Gemini outmatches GPT-4 on 30 out of 32 standard measures of performance. And yet the margins between them are thin. What Google DeepMind has done is pull AI’s best current capabilities into one powerful package. To judge from demos, it does many things very well—but few things that we haven’t seen before. For all the buzz about the next big thing, Gemini could be a sign that we’ve reached peak AI hype. At least for now.

Read the rest from MIT Technology Review: Google DeepMind’s new Gemini model looks amazing—but could signal peak AI hype

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