Google’s Gemini AI Falls Short

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GEMINI AI

🌟 Google’s Gemini AI Models Fall Short in Data Analysis

Google’s Gemini 1.5 Pro and 1.5 Flash AI models claim impressive data-analyzing capabilities, but recent studies suggest they fall short of expectations.

The Decode:

Gemini 1.5 Pro and Flash were tested on their ability to process extensive datasets, such as lengthy documents and video content. The studies revealed that these models struggled significantly, with accuracy rates of only 40%-50% on document-based questions and even lower for video content.

1. Context Window Limitations: Despite claims of handling 2 million tokens of context (equivalent to about 1.4 million words), the models often failed to comprehend and answer questions about the content accurately. This raises doubts about their advertised long-context processing abilities.
   

2. Research Insights: Studies from the Allen Institute for AI, Princeton, and UC Santa Barbara show that the models have difficulty verifying complex information over extended contexts. They often needed to improve at tasks requiring comprehensive understanding, such as interpreting plot points in books or identifying image details.
   

3. Overpromising Issues: Google’s marketing has heavily emphasized the context window feature, but practical applications reveal significant limitations. Both studies suggest that while Gemini models can technically process large amounts of data, their ability to generate accurate, meaningful outputs is lacking.
   

4. Industry Impact: This revelation highlights a broader issue in the AI industry: the gap between marketing promises and actual performance. As shown by recent surveys and declining investments, businesses and investors are becoming increasingly skeptical of generative AI’s productivity and accuracy.

The findings suggest a need for better benchmarks and third-party evaluations to ensure realistic claims about AI capabilities. While Google’s Gemini models boast impressive technical specs, their practical application in data analysis remains questionable.

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CLAUDE 3.5

 🕹️ Creating a Simple Video Game with Claude 3.5

Ever wondered how to make your own video game? Follow these steps to create a basic snake game using Claude 3.5:

The Decode:

Step 1: Sign In to Claude

Step 2: Enable Feature Preview

• Click on your profile.
  

• Navigate to this Feature Preview.
  

• Toggle the Artifacts button to turn it on.

Step 3: Create Your Game

Use this prompt:

"Develop a basic HTML5 snake game for me"

Wait a few moments for Claude to generate the game code.

Step 4: Check Your Game

• Preview your game using the Artifacts feature.
  

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AI SCAMS

🛡️ Defend Against AI-Driven Scams
^{Insights from Tech Crunch}  

AI technology is extremely versatile, helping with tasks from email writing to generating art. Unfortunately, it’s also being used for scams. Here are some prevalent AI-powered scams and ways to protect yourself.

The Decode:

🎙️ Synthetic Voice Scams: Scammers can now replicate voices with just a few seconds of audio, convincing victims that a friend or family member is in trouble and asking for money.

Protection Tips: Verify any unexpected requests by contacting the person directly through a known method. Be suspicious of calls or messages from unknown numbers.

📧 Tailored Phishing Emails: AI can craft highly personalized phishing emails, making them seem more legitimate by using details like your name or recent activities.

Protection Tips: Be cautious of emails from unknown sources, even if they seem personal. Avoid clicking on links or attachments unless you are sure of the sender’s authenticity.

👤 Identity and Verification Fraud: With your data, scammers create AI personas to impersonate you, gaining access to your accounts.

Protection Tips: Enable multi-factor authentication on all accounts. Regularly monitor accounts for unusual activity and respond to security alerts promptly.

Staying vigilant and following these tips can help protect you from the rising threat of AI-driven scams.

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HOT NEWS

🍎 Apple to Reveal Google Gemini Deal This Fall

Apple plans to announce a deal with Google this fall to integrate the Gemini AI model into its devices, according to Bloomberg’s Mark Gurman. Users will gain access to Gemini through iOS, expanding beyond the current ChatGPT integration. Additionally, Apple may also partner with Anthropic, while rejecting Meta's Llama chatbot. Apple Intelligence, a subscription-based AI feature, will debut in beta on iPhone 15 Pro models.

🍏 Apple to Add AI to Vision Pro

Apple plans to integrate AI features into its Vision Pro headsets, expanding beyond iPhone, iPad, and Mac. Mark Gurman of Bloomberg reports that Apple aims to enhance the Vision Pro with Apple Intelligence, including improved Siri, proofreading tools, and custom emojis. However, these updates won't launch this year as Apple adjusts the features for mixed reality.

🤖 IATSE Greenlights AI as a Tool

The International Alliance of Theatrical Stage Employees (IATSE) reached an agreement with major studios to use artificial intelligence as a tool, under specific conditions. This contract, detailed over the weekend, ensures AI cannot replace union jobs, allows workers to request consultations on AI use, and provides training. Employers must consent to AI use, indemnify workers, and conduct regular AI discussions.

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