Google issues Gemini statement and apology

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In today’s newsletter:

🤖 Google's AI Blunder: Misguided diversity efforts lead to historical inaccuracies in image generation

💼 Reddit reveals a substantial $203 million in earnings from AI data licensing in its IPO prospectus, highlighting the platform's pivotal role in feeding the data hunger of AI giants

✍️ Google Chrome's latest update brings an AI-powered writing generator to the forefront, leveraging the Gemini AI model to extend Gmail's 'Help me write' feature across the web.

📱Arc browser introduces 'Pinch-to-Summarize': a clever AI gesture that needs fine-tuning for accuracy and journalism integrity

❓️ Misc:

Does treating a chatbot nicely lead to better output? (link)

A New Orleans magician says he made the AI Biden robocall (link)

Nvidia’s role in the AI wave has turned it into a $2T company (link)

📊 Funding:

AZmed raised €15M for AI-powered radiology software (link)

Armilla AI raised $4.5M to safeguard enterprises from the risks of AI (link)

Bioptimus raised $35M to build biology foundation models (link)

💰Jobs in AI:

Principal AI Engineer: SearchStax · United States · Remote · Full-time · Associate (Apply Here)

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🤖 Google Admits Losing Control Over AI's Historical Image Generation: A Misguided Diversity Effort

The Controversy Surrounds Gemini's Image Outputs

Google's latest AI venture, Gemini, faced significant backlash for inappropriate handling of diversity in historical contexts. The model, designed to inject diversity into images, overlooked the importance of historical accuracy, leading to the portrayal of historical figures in a manner that contradicted known facts. This misstep has sparked a debate over the balance between diversity and accuracy in AI-generated content, highlighting the challenges in developing AI that respects cultural and historical sensitivities. Take a look ⤵️ 

Google's Near-Apology and Ethical AI Development

In response to the criticism, Google has issued a statement that borders on an apology, acknowledging the AI's overzealous diversity rendering as a flaw in its programming. This incident sheds light on the broader issue of bias in AI training data — made even worse by the fact that (as pointed out by Elon Musk) everyone will be using Google’s AI models in some shape or form in the next few years.

Navigating the Complex Landscape of Generative AI

The fallout from Gemini's flawed image generation is a stark reminder of the ethical pitfalls in AI development. It underscores the importance of designing AI systems that are not only technologically advanced but also unbiased and built without an agenda in mind.

Reddit Taps into AI Goldmine, Secures $203M from Data Licensing 💼

Reddit, in its IPO prospectus, revealed it had made $203 million from licensing its data to AI vendors, with agreements expected to generate a minimum of $66.4 million in revenue for 2024. While specific AI companies licensing Reddit's data weren't named, OpenAI and possibly Google are speculated to be among them. Reddit's decision to monetize its vast repository of posts and comments marks a strategic move, especially as AI models like OpenAI’s ChatGPT and Google’s Gemini look to the web for data to train on. This approach by content platforms aligns with the broader trend of seeking compensation for their data used in training AI technologies amidst increasing legal scrutiny over data usage rights.

Chrome Unveils Gemini-Powered AI Writing Assistant 📝

Google Chrome introduces a new AI writing generator powered by its Gemini AI model. Originally a feature in Gmail, this tool now extends its capabilities across the web, allowing users to generate or rewrite text in any text field. Currently in an experimental phase, it's available in English for Windows, Mac, and Linux users. The AI tool is designed for crafting short-form content and adjusts its suggestions based on the webpage context. However, user data, including text and URL, will be shared with Google under its privacy policy for the improvement of this feature, which involves human review.

Arc's 'Pinch-to-Summarize' Feature: Innovative but Inaccurate? 🤏

Arc browser's new feature, "pinch-to-summarize," uses AI to create concise summaries of web pages with a unique pinching gesture. While the gesture and transition effects are praised for their innovative interaction and aesthetic, the feature's accuracy in generating summaries is inconsistent. It struggles with languages other than English and sometimes omits crucial information or provides robotic summaries. Concerns arise about its impact on journalism and web content creation, as inaccurate summaries may mislead users. Arc aims to improve the feature and considers sharing summaries with source links to drive traffic to original articles. Take a look at how to feature works 👇️ 

2 in a row!

Some great praise, too!

These look like Windows stock images.

• Bubble: Launch your own AI-enabled app without code (link)*

• TimeToTok: An AI Copilot for TikTok growth and visibility. (link)

• Modelit: A tool to integrate with knowledge sources for chat, search, and co-writing assistance.(link)

• Arvin AI: A Browser Extension with diverse AI tools and services for online tasks productivity. (link)

• Beloga: A tool to assist research, note-taking, and idea generation. (link)

• ZipWP: AI-powered tool for WordPress website creation. (link)

Have cool resources or tools to share? Submit a tool or reach us by replying to this email (or DM us on Twitter).

*Indicates a sponsored link

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A meme before you go 👇

That's a wrap for now! We hope you enjoyed today’s newsletter :)

We appreciate your continued support! We'll catch you in the next edition 👋

-Bot Buddy and The Deep View Team