Basics of Robotics
Tiff in Tech: Mark Zuckerberg on Glasses as the Next Device
Zuckerberg thinks glasses will be the next computing mechanism. And he would have use Python to start Facebook if he knew what he knows know.
What are the top A.I. and robotics blogs?
Some of the top AI blogs and platforms that are highly visited in 2024 include:
- Lex Fridman Podcast: Known for his discussions with leading AI figures, Lex Fridman’s podcast and accompanying blog are extremely popular in the AI and tech space. He covers topics on AI, machine learning, and robotics, featuring prominent researchers and thought leaders.
- Latent Space: A podcast and newsletter geared towards AI engineers, offering in-depth insights on AI research and industry trends. It’s a top destination for AI enthusiasts and professionals.
- Gary Marcus on Substack: Cognitive scientist Gary Marcus runs a popular newsletter offering critical perspectives on AI advancements, particularly around the limitations and potential of current technologies.
- Perplexity AI Blog: Perplexity AI, a fast-growing conversational search engine, has become a major platform for AI content, with a user base that frequently engages with its educational AI tools and content.
- Robauto.ai: That’s right, this website has educated thousands of students, educators and professionals.
These blogs and platforms are highly influential and attract vast numbers of AI researchers, enthusiasts, and professionals globally.
What are the main features of the new iPhone 16 and iPhone 16 Pro?
The iPhone 16 introduces several exciting new features across both its standard and Pro models. Much of it is designed to run their new Apple Intelligence.
Key Features of iPhone 16 and 16 Plus:
- Camera Upgrades:
- A new 48MP Fusion camera with 2x optical zoom and enhanced low-light performance.
- A 12MP Ultra-Wide camera with autofocus and macro photography capabilities.
- Support for spatial photos and videos for immersive viewing on Apple Vision Pro
- Action and Camera Control Buttons:
- The Action Button, previously exclusive to Pro models, is now available on all iPhone 16 models, allowing quick access to functions like the camera, flashlight, and more.
- A new Camera Control button provides easier access to camera settings and is pressure-sensitive, resembling a DSLR shutter button
- Performance Boost:
- Powered by the A18 chip, which includes a 6-core CPU and 5-core GPU, the iPhone 16 offers up to 30% faster processing and 40% better GPU performance. It also includes enhanced machine learning capabilities with a 16-core Neural Engine
- Battery Life and Charging:
- Improved battery efficiency, with the iPhone 16 offering up to 22 hours of video playback and 25W MagSafe charging for faster recharging
- AI Features:
- Visual intelligence through the Camera Control button can identify objects and places in real time. Apple Intelligence features like Writing Tools and Image Playground are also available thanks to the new A18 chip
- Audio and Video:
- Videos now feature Spatial Audio for immersive sound and a new Audio Mix feature that allows post-capture sound adjustments, including wind noise reduction
These enhancements make the iPhone 16 a significant upgrade, especially in camera performance, AI integration, and battery life.
Why is Rivian (RIVN) Stock trending in Google?
Why is Rivian trending this morning in Google Trends?
We don’t see any reason other than the Fed’s recent rate cut, which seems to have bumped up a lot of stocks. But when a stock is the #1 searched term in a category on Google, it makes us wonder. The company, hailed as the next Tesla, has yet to make a profit. If TSLA could go to $32 Trillion, maybe a $11.8 billion market cap for RVIN isn’t so out of the question.
How do people make those A.I. generated images you see on social media?
There are several apps but it’s probably Microsoft Copilot which is readily available on any Windows computer. Here we asked it “Draw Apple Intelligence“. It didn’t quite get it…
How will A.I. make the average person money in 2030
By 2030, AI is expected to provide a variety of ways for the average person to generate income, offering new opportunities through automation, personalized insights, and innovative platforms. Here are several ways AI might make money for individuals:
1. AI-Driven Freelancing Platforms
- Personalized Job Matching: AI will improve job matching for freelancers by analyzing skills, work history, and market trends to recommend the most lucrative opportunities. This will allow individuals to find gigs more quickly and efficiently across a wide range of industries.
- Automated Project Completion: AI tools will handle a significant portion of work in creative fields (e.g., content generation, design, coding), enabling freelancers to complete projects faster, take on more clients, and increase earnings.
- Gig Economy Automation: Platforms like Uber or TaskRabbit could be integrated with AI to automate scheduling, optimize routes, and maximize earnings per hour worked, while reducing manual tasks.
2. Passive Income from AI Investments
- AI-Managed Investment Portfolios: AI-driven robo-advisors will become more sophisticated, enabling average individuals to automate investments in stocks, crypto, or other financial assets with optimized returns based on personal financial goals. These algorithms will continuously adjust portfolios based on market changes, improving potential returns while minimizing risks.
- AI in Real Estate: AI platforms could help individuals invest in fractional ownership of real estate, analyzing property markets and trends to recommend profitable properties, even for people with limited capital.
3. Monetizing Personal Data
- Data as a Commodity: AI-powered platforms will enable individuals to sell or lease their personal data (e.g., anonymized health, lifestyle, or consumption data) directly to companies or researchers, with the ability to control what is shared. Individuals could earn money while maintaining control over their privacy.
- AI-Driven Surveys and Feedback: AI will streamline platforms where users are paid for completing surveys or providing feedback on products and services. These platforms will become more personalized, making it easier for individuals to earn money based on their preferences.
4. AI-Enhanced Content Creation
- Automated Content Generation: By 2030, AI will enable people to create blogs, videos, or podcasts quickly with minimal effort. AI tools like GPT-style text generators and AI video creation will assist in script writing, editing, and even voiceovers, allowing content creators to produce and monetize more content across YouTube, podcasts, or social media.
- AI-Optimized Monetization: AI will analyze audience data to help creators optimize content distribution and monetization, suggesting the best times to post, target audiences, and platforms (e.g., YouTube, Twitch, Instagram) to maximize ad revenue, sponsorships, and subscriptions.
5. AI-Driven E-Commerce and Dropshipping
- Automated E-Commerce Stores: AI tools will make it easier for individuals to run online stores, automating product sourcing, inventory management, customer service, and marketing. AI will handle day-to-day tasks, allowing individuals to focus on growing their business with minimal overhead.
- Personalized Product Recommendations: AI will analyze consumer behavior to recommend products for individuals to sell, reducing guesswork and increasing chances of success in niche markets.
6. AI in Education and Tutoring
- Automated Tutoring and Courses: People could use AI tools to create and sell personalized educational content or online courses. AI will help design interactive lessons, quizzes, and feedback systems, making it easier for anyone to become an educator and earn income from teaching subjects they are passionate about.
- AI-Powered Micro-Schools: AI tutors could supplement or even replace human tutors in certain areas, allowing educators to scale their services, manage more students simultaneously, and deliver high-quality personalized learning experiences.
7. AI in Health and Wellness
- Personalized Health Plans: Individuals could monetize their knowledge of health, wellness, or fitness by using AI platforms to create personalized plans for clients. AI can analyze data (e.g., DNA, fitness goals) to tailor meal plans, workouts, or mindfulness routines, allowing wellness coaches to serve more clients efficiently.
- Health Data Monetization: By 2030, people may be able to sell their anonymized health data to medical research companies or participate in AI-powered clinical trials, receiving compensation for contributing to medical advancements.
8. AI-Enhanced Creativity and Art
- AI-Assisted Art and Music: Artists and musicians will use AI to generate visuals, music compositions, or NFTs (non-fungible tokens) faster. AI tools can assist in ideation, production, and even marketing of creative works, allowing more people to monetize their talents.
- AI-Optimized Distribution: For musicians, AI tools could help optimize streaming revenue by suggesting the best platforms, genres, and strategies for maximizing visibility and earnings.
9. Automation of Side Hustles
- AI-Managed Social Media: For individuals running social media accounts or side businesses, AI could automate tasks like content scheduling, audience engagement, and follower growth. This will help influencers or small businesses scale their operations while increasing income.
- AI-Run Dropshipping: AI will handle the logistical side of dropshipping businesses, from finding suppliers to marketing and fulfillment. This will allow individuals to run multiple e-commerce businesses with minimal effort.
10. AI in the Sharing Economy
- Smart Property Rentals: AI will optimize short-term rental businesses like Airbnb by dynamically pricing properties based on demand, automating booking and customer interactions, and ensuring efficient property management. Owners can optimize earnings without manual intervention.
- AI-Powered Ride-Sharing: Drivers could rely on AI tools to maximize their income by suggesting the most profitable routes, avoiding traffic, and increasing ride efficiency.
11. Automated Legal and Financial Services
- AI-Powered Legal and Tax Assistance: AI will offer affordable and accessible legal or financial advice, automating routine processes such as tax filings, contract reviews, or simple legal claims. Individuals could use AI to offer legal or financial services, earning money while AI handles the bulk of the work.
- Automated Insurance and Claims: AI-driven insurance platforms could allow individuals to participate in peer-to-peer insurance models, earning money by joining or managing micro-insurance pools.
12. Crowd Work and Micro-Task Platforms
- AI-Powered Microtasking: Platforms like Amazon Mechanical Turk will evolve with AI-enhanced workflows, allowing individuals to complete simple tasks more efficiently. AI will guide workers to complete tasks (e.g., data labeling, image annotation) faster, earning more in less time.
- Crowdsourcing AI Training: Individuals may be paid to train AI models by providing data or feedback. This could include activities like moderating content or providing human judgment for AI decision-making systems.
13. AI-Driven Consulting
- AI-Enhanced Expertise: People with specific domain knowledge could use AI to deliver personalized insights and strategies to clients in industries such as marketing, business strategy, or tech. AI will allow them to scale their expertise by automating research, analysis, and reporting.
14. AI-Driven Career Coaching
- AI-Enhanced Career Development: Individuals could monetize career coaching services by using AI tools to assess clients’ skills, recommend training programs, and provide tailored career advice. AI platforms will offer more personalized insights into job trends, salary benchmarks, and growth opportunities.
By 2030, AI will dramatically change how individuals make money by automating tasks, optimizing personal skills, and opening new income streams in industries ranging from freelancing and investing to e-commerce and content creation. AI will lower the barriers to entry for various side hustles and business opportunities, empowering the average person to leverage AI in innovative ways to generate income.
How Does Amazon (AMZN) Use A.I.?
Amazon uses artificial intelligence (AI) extensively across its various services and operations to enhance customer experiences, optimize logistics, streamline internal processes, and drive innovation. Here’s an overview of how Amazon leverages AI:
1. Personalized Recommendations and Search
- Recommendation Engine: AI is at the core of Amazon’s product recommendation system. Using machine learning algorithms, Amazon analyzes user behavior (browsing history, past purchases, wishlists, etc.) to recommend products tailored to individual customers.
- Amazon Search: AI enhances Amazon’s search functionality by predicting user intent and ranking search results based on relevancy. Natural language processing (NLP) helps the system understand customer queries and deliver more accurate results.
2. Amazon Alexa and Voice Assistants
- Natural Language Processing (NLP): Alexa, Amazon’s voice assistant, uses AI-powered NLP to understand and respond to voice commands. Alexa can answer questions, control smart home devices, provide weather updates, play music, and more.
- Machine Learning: Alexa improves over time by learning from user interactions and data. It adapts to individual user preferences, voice patterns, and speech idiosyncrasies to provide better, more personalized responses.
3. Amazon Web Services (AWS) AI and Machine Learning
AWS provides a suite of AI and machine learning tools that help businesses build and deploy AI models, some of which Amazon uses internally.
- Amazon SageMaker: A platform for building, training, and deploying machine learning models at scale.
- Rekognition: An AI-powered image and video analysis service used for facial recognition, object detection, and sentiment analysis.
- Comprehend: A natural language processing (NLP) service that enables businesses to extract insights and meaning from text.
- Transcribe and Translate: AI-driven services for speech-to-text transcription and text translation.
4. Logistics and Supply Chain Optimization
- Warehouse Automation: Amazon uses AI in its fulfillment centers to improve efficiency. Robots powered by AI assist in moving goods around, organizing inventory, and packing items. AI helps optimize the flow of products through the warehouse, reducing human labor and improving speed.
- Delivery Route Optimization: AI helps Amazon optimize delivery routes for its logistics network (Amazon Prime, Amazon Flex, etc.). Machine learning algorithms predict traffic, optimize delivery sequences, and minimize transportation costs while ensuring quick deliveries.
5. Amazon Go (Just Walk Out Technology)
- Computer Vision and Sensor Fusion: Amazon Go stores use AI-powered systems such as computer vision, deep learning, and sensor fusion to create a seamless checkout experience. Shoppers can pick items off the shelves and leave the store without having to check out manually. AI keeps track of what each shopper picks up and automatically charges their account.
- Deep Learning for Inventory Management: AI helps in analyzing product placement and restocking shelves based on real-time demand forecasts, ensuring optimal store operations.
6. Fraud Detection and Prevention
- Transaction Monitoring: AI is used to detect suspicious activities, such as fraudulent transactions, on Amazon’s marketplace. Machine learning models identify unusual patterns and flag potentially fraudulent transactions for further investigation.
- Seller Verification: AI helps identify fake or unreliable sellers by analyzing seller profiles, customer feedback, and transaction history.
7. AI in Customer Service
- Amazon Connect: This cloud-based contact center service, powered by AI, helps businesses deliver better customer service. AI helps agents with real-time recommendations, automated responses to FAQs, and sentiment analysis to gauge customer satisfaction.
- Automated Customer Support: AI chatbots handle basic customer inquiries, order tracking, returns, and issue resolution, providing quick responses and reducing the workload on human agents.
8. Amazon Prime Video
- Content Personalization: Amazon uses AI to analyze user preferences, viewing habits, and behavior to recommend movies and shows. It uses deep learning to improve video recommendations and highlight trending content.
- Video Quality Optimization: AI helps optimize streaming quality by analyzing network conditions and adjusting video quality accordingly.
- Machine Learning for Original Content: AI can even help content creators by predicting what types of shows or movies will be successful based on audience data and trends.
9. Inventory and Demand Forecasting
- Predictive Analytics: AI predicts product demand, optimizing inventory management and minimizing stock shortages or overstock situations. These predictive algorithms are critical for ensuring products are available when and where customers need them.
- Dynamic Pricing: Machine learning models help Amazon adjust prices dynamically based on factors like demand, competition, and customer behavior to maximize sales and profitability.
10. Amazon Robotics
- Kiva Robots: Amazon employs autonomous robots to move items around its fulfillment centers. These robots use AI to navigate the warehouse, optimize their movements, and increase efficiency by bringing shelves of items to human workers rather than having workers walk to the shelves.
- AI-Driven Drones (Prime Air): Amazon is developing drone delivery technology (Prime Air), which uses AI for autonomous flight, route planning, and safe navigation to deliver packages directly to customers.
11. AI in Advertising
- Ad Targeting: Amazon uses machine learning to target ads more effectively based on customer data, purchase history, and browsing behavior. This helps advertisers reach the right audience with personalized ad campaigns.
- Predictive Analytics: AI predicts how likely a customer is to engage with an ad, optimizing ad placement and reducing the cost per click or conversion.
By embedding AI in almost every aspect of its business—ranging from customer service and product recommendations to logistics and content creation—Amazon is able to enhance customer experience, drive operational efficiency, and maintain a competitive edge in various markets.
The Great USB Cable Conspiracy
Calling out Apple and others who keep this USB market going.
We only need one type of USB and all devices should be the same.
The European Union adopted a new USB legislation that makes USB-C the default standard.
Let’s do this in the United States, it will save time and money for everyone (except maybe Apple).
What is Text-to-Action?
ChatGPT Is pretty cool. But what if you could tell it to “Build me a copy of TIkTok, release it and if it doesn’t go viral, create a variation”.
This is call text-to-action. It refers to A.I.’s ability to take human language and turn it into new software.
This is what former CEO of Google Eric Schmidt thinks is coming in the next year. What will the implications of this be?
Watch the full video on LinkedIn.
The official ChatGPT definition:
Text-to-action is a concept where textual commands or descriptions are converted into specific actions or responses. It’s often used in the context of technology and programming, where a text input, such as a command or query, triggers a particular behavior or function.
For instance, in software and applications:
- Voice Assistants: Saying “Turn off the lights” might trigger the smart home system to turn off the lights.
- Programming: A command in a script like “delete file” might execute a function that deletes a file from the system.
In a broader sense, text-to-action can also refer to any system where written or spoken text is interpreted and acted upon, bridging the gap between human language and machine execution.