🗣️ Domino’s AI Bot Now Talks Like a Real Person

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Today’s Recipes:

• 🗣️ Domino’s AI Bot Now Talks Like a Real Person

• 🤯 Humans Out, AI In: Meta's Privacy Gamble?

• 🧠 How ChatGPT Really Knows What to Say

• Business Insider Cuts Over 1 in 5 Jobs

• AI Videos Just Got Scary Real — Should We Worry?

• What to Expect at Apple’s WWDC 2025

• AI Tutorial of the Day

• And More….

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- LATEST DEVELOPMENTS -

🗣️ Domino’s AI Bot Now Talks Like a Real Person

Domino’s is leveraging AI to enhance its ordering system, making interactions with bots feel more natural and efficient. The company aims to streamline operations and improve customer experience.

Details:

1. AI-Powered Ordering: Domino’s is integrating AI-driven voice assistants to make ordering more conversational and intuitive.

2. Predictive Analytics: AI helps optimize inventory management and delivery routes for efficiency.

3. Personalized Experience: AI analyzes customer preferences to offer tailored recommendations.

4. Operational Enhancements: AI assists store managers with scheduling, product ordering, and inventory tracking.

5. Innovation Partnership: Domino’s collaborates with Microsoft to develop AI-powered solutions for smart store operations.

Takeaway:

AI is transforming Domino’s ordering system, making interactions smoother and more personalized while improving efficiency behind the scenes. The company is betting on AI to redefine fast-food service.

🤯 Humans Out, AI In: Meta's Privacy Gamble?

Meta is replacing human risk reviewers with AI, automating up to 90% of assessments for privacy, safety, and content integrity. Critics fear this could lead to unchecked harmful platform changes.

Details:

1. AI-Driven Reviews: Meta will automate most risk assessments for new features on Facebook, Instagram, and WhatsApp.

2. Faster Product Launches: AI decisions will allow quicker updates without human scrutiny.

3. Privacy & Safety Risks: Experts worry AI may overlook critical risks, including misinformation and youth safety.

4. Limited Human Oversight: Only "novel and complex issues" will still require manual review.

5. EU Exception: European regulations will maintain stricter oversight, limiting automation in the region.

Takeaway:

Meta’s shift to AI-driven risk assessments speeds up innovation but raises concerns about unchecked privacy and safety risks. Critics warn this could lead to unintended harmful consequences.

🧠 How ChatGPT Really Knows What to Say

ChatGPT predicts the next word based on previous text using AI models trained on vast datasets. It processes input as tokens, applies deep learning, and refines responses through self-attention.

Details:

1. Tokenization: ChatGPT breaks user input into tokens (small text units) for processing.

2. Context Analysis: It examines tokens to understand meaning and relevance.

3. Next-Word Prediction: AI calculates the most probable next token based on prior context.

4. Iteration Process: The model repeats predictions until a full response is formed.

5. Self-Attention Mechanism: Helps ChatGPT determine word importance for nuanced replies.

6. Training Data: ChatGPT learns from massive datasets, refining responses through pre-training and fine-tuning.

Takeaway:

ChatGPT doesn’t “think” but predicts text based on statistical patterns. Understanding its mechanics helps users interact with AI more effectively and avoid over-reliance on its responses.

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- NEWLY LAUNCHED AI TOOLS -

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- MORE AI & TECH UPDATES -

Business Insider Cuts Over 1 in 5 Jobs ↗️

Business Insider is laying off 21% of its workforce, impacting employees across all departments…

AI Videos Just Got Scary Real — Should We Worry? ↗️

Google has unveiled Veo 3, its latest AI video generation model capable of creating 8-second clips with synchronized sound effects and dialogue…

AI Is Accelerating Change — And It’s Just Starting ↗️

AI adoption is accelerating at an unprecedented rate, surpassing previous tech revolutions like mobile and cloud computing…

What to Expect at Apple’s WWDC 2025 ↗️

Apple’s WWDC 2025, set for June 9, is expected to focus on major OS redesigns rather than groundbreaking AI advancements…

- POLL OF THE DAY -

- HOW TO AI -

How to Building Your Own AI Assistant

In a world increasingly driven by artificial intelligence, the idea of having a personalized AI assistant is no longer a futuristic fantasy.

Key Highlights:

• Start with a Clear Purpose.

• Leverage No-Code and Low-Code Platforms.

• Focus on Iterative Development.

• Prioritize Data Privacy.

• Embrace the Power of Prompt Engineering.

• Consider the Ethical Implications.

- THAT’S A WRAP -

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