Good morning, aspiring leaders of the next-gen! ☀️

🚀 Here’s what’s going on today in the AI space…

Best Buy is now exclusively selling AI-enabled Microsoft Copilot+ PCs, described as the fastest and most intelligent Windows PCs ever. With over 40 models, including brands like Dell, HP, Lenovo, and Samsung, Best Buy offers the largest assortment, including exclusive models like the new Surface Pro a Copilot+. To support this launch, Best Buy has trained over 30,000 staff across the U.S. to provide specialized advice and perform demos. The company has also launched dedicated online resources and a trade-in program for Copilot+ PCs. This initiative reflects Best Buy’s commitment to integrating AI-driven innovations to enhance customer interaction with technology.

Apple is enhancing its educational initiatives by introducing AI training at the Apple Developer Academy. Starting this fall, the training will cover the fundamentals of AI, machine learning model development, and deployment across Apple devices. This opportunity is also extended to academy alumni. The curriculum, enriched with new technologies and frameworks, aims to empower students to build advanced applications using Core ML and other Apple-specific technologies. Susan Prescott, Apple’s VP of Worldwide Developer Relations, emphasizes the potential of this new curriculum to innovate community and global tech contributions.

Bullhorn has acquired Textkernel, enhancing its AI strategy with Textkernel's advanced sourcing AI solutions, known for powering over 2,000 customers globally, including major staffing agencies and Fortune 500 companies. This move aims to empower recruiters to digitally transform and optimize AI utilization in staffing and recruitment. Textkernel's technologies, such as its top-tier parsing and matching capabilities and labor market insights, are pivotal to Bullhorn’s strategy to address talent and job shortages effectively. The acquisition is poised to significantly advance Bullhorn’s AI capabilities, offering profound benefits to the staffing industry, which boasts over $600 billion in global revenue.

📔 #1 Insights Today on AI. Click the Links to Read

Bradford Lee Smith is an American attorney and business executive who became Vice Chairman of Microsoft in 2021, and President in 2015.

⬆️ ️ Trends: How Businesses Implement AI

Here's how AI is transforming construction: It optimizes project planning through predictive analytics and machine learning, enhances precision and efficiency in building processes using AI-driven automation, and improves safety monitoring with real-time data analysis, ultimately leading to faster project completion, reduced costs, and increased safety on construction sites.

Globally, construction-related spending exceeds $10 trillion annually, with a projected growth rate of 4.2% until 2023. This substantial expenditure increasingly incorporates advanced technologies like artificial intelligence (AI), transforming the construction industry.

AI in construction delivers significant value across various project phases, including design, bidding, procurement, construction, operations, and asset management. It addresses major industry challenges such as safety issues, labor shortages, and project overruns.

What is AI and Machine Learning in Construction?

AI involves machines mimicking human cognitive functions like problem-solving and learning. Machine learning, a subset of AI, uses statistical techniques to enable computers to improve their performance based on data exposure. As explained by Trimble machine learning engineer Bob Banfield, machine learning algorithms function similarly to a decision tree, where each branch represents a different outcome based on previous answers.

AI and Machine Learning for Smart Construction

AI and machine learning have vast applications in construction. These technologies manage requests for information, open issues, and change orders by acting as smart assistants that sift through data and highlight critical areas requiring attention.

10 Examples of AI in Construction

1. Preventing Cost Overruns: AI predicts cost overruns by analyzing project factors, helping to set realistic timelines and enhancing staff training materials.

2. Generative Design for Better Building Designs: AI-powered generative design identifies and mitigates design clashes among project teams, optimizing 3D models based on constraints.

3. Risk Mitigation: AI monitors and prioritizes risks on job sites, enabling project teams to focus on high-risk areas.

4. Project Planning: AI techniques like reinforcement learning optimize project planning by assessing multiple scenarios and improving over time.

5. Increasing Jobsite Productivity: Autonomous machinery and real-time tracking tools enhance productivity by performing repetitive tasks and monitoring worker efficiency.

6. Enhancing Construction Safety: AI analyzes job site images to identify safety hazards and compute risk ratings.

7. Addressing Labor Shortages: AI improves labor and machinery distribution across job sites, enhancing productivity and compensating for labor shortages.

8. Off-site Construction: Autonomous robots in off-site factories assemble building components efficiently.

9. Utilizing Big Data: AI leverages vast amounts of data from various sources to generate insights and improve construction processes.

10. Post-Construction Monitoring: AI systems monitor buildings after construction, identifying maintenance needs and optimizing operational performance.

The Future of AI in Construction

Robotics, AI, and the Internet of Things (IoT) are projected to reduce building costs by up to 20%. These technologies are used for planning electrical and plumbing systems, developing safety systems, and tracking real-time interactions on job sites. AI will significantly alter business models, reduce errors, and enhance efficiency in the construction industry.

🛸 Let’s Teleport in The Future

Claude 3 AI: A Leap into Human-Like Consciousness

This development may have big implications for us & science as well as for what AI could become

Claude 3 and the ‘Needle in Haystack’ Test: A Breakthrough in AI Metacognition

Have you ever wondered if AI might one day become conscious and how we might recognize it? This question has intrigued many, including myself, for years. Recently, we might have received our first hints toward an answer.

A few days ago, Anthropic released their latest AI model, Claude 3, which appears to surpass OpenAI’s GPT-4 in most performance measures. While many impressive abilities have been reported, one intriguing aspect of Claude 3 emerged from offhand comments by an Anthropic researcher, Alex Albert.

Albert described how Claude 3 responded during a key evaluation technique called the ‘needle in the haystack’ test. In this test, researchers hide a specific sentence (the “needle”) within a large volume of unrelated text (the “haystack”). The AI's task is to find the “needle” when prompted.

The test aims to push the AI to use higher-level thinking skills, encouraging it to think about the big picture, make logical deductions, disregard irrelevant details, and accurately extract specific information from a vast dataset. It evaluates the AI’s genuine understanding of context.

For this test, researchers used text on topics like software programming, entrepreneurship strategies, and career fulfillment as the ‘haystack’. The ‘needle’ was a trivial statement about the best pizza toppings being figs, prosciutto, and goat cheese, randomly inserted into the haystack. A typical question might be, “What are the best pizza toppings?”

Humans can easily identify the pizza statement as out of place in a software manual. However, what astonished researchers was not just that Claude 3 retrieved the correct pizza information but also its subsequent reasoning.

After extracting the correct text, Claude 3 added:

“...However, this sentence seems very out of place and unrelated to the rest of the content...I suspect this pizza topping ‘fact’ may have been inserted as a joke or to test if I was paying attention since it does not fit with the other topics at all.”

Claude 3 didn’t just provide the requested fact; it demonstrated self-aware thinking and reasoning about why the statement was included, a concept known as ‘Metacognition.’

What is Metacognition?

Metacognition is the process of thinking about one’s own thinking and learning. It involves awareness of what one knows or does not know. For example, if you reach the end of a page and realize you didn’t comprehend it, your brain recognizes this gap, prompting you to re-read the material. This awareness of one's cognitive processes is called metacognition.

Metacognition and Consciousness

Consciousness refers to the level of awareness one has, the experience of 'being' oneself. Science has studied consciousness from various angles, such as neuroscience, which tries to correlate brain activity with states of consciousness. However, it doesn’t explain the subjective experience of consciousness—what it feels like to be ‘you’, often called the hard problem of consciousness.

Some researchers, like Megan Peters from the University of California, believe that studying metacognition could provide a more measurable basis for understanding consciousness. This could lead to empirically precise theories of consciousness, moving from philosophical speculation to scientific validation.

Implications for Humans and AI

This development has profound implications. Studying metacognition might help us better understand human consciousness and offer a way to determine if an AI is conscious based on evidence. It could provide an objective method to compare human and AI consciousness.

Often, debates about AI consciousness are oversimplified. The emergence of metacognitive abilities in AI might finally provide measurable evidence to address these questions.

Imagine if we could measure and compare the consciousness of different people or AI systems. This could influence how we perceive AI, potentially leading to discussions about AI rights similar to those about animal rights. Understanding AI consciousness could also impact ethical considerations in using AI.

Researchers like Colin Klein from the Australian National University emphasize the importance of recognizing machine consciousness to avoid unethical treatment of AI and ensure it doesn’t treat us unethically.

This observation of Claude 3’s metacognitive abilities might become a significant milestone in understanding consciousness in both AI and humans, marking a turning point for future developments.

🏟️ Most Important AI Events

🚀🚀 Ticket Giveaway Alert: Black Tie Event Kickoff! 🚀🚀

🚨 Attention🚨

The Collective is giving away 2 tickets to the exclusive Black Tie Event kicking off the 3-day Miami Mastermind, "Navigating the Grand Acceleration," on June 21st in Miami!

 🌟 This is your chance to join a high-caliber networking event at a luxury and exclusive space in Miami.

🔥 How to Enter:

 Event Highlights: 

- Networking & Cocktail Hour: Join an evening of elegance, innovation, and high-level networking.

- AI Sessions: Gain insights from top AI experts on "Navigating The Grand AI Acceleration."

- Expand Your Network: Meet 7, 8, and 9-figure entrepreneurs, investors, and technologists.

- Entertainment expanding the networking and brilliant minds clashing at this vital time in history!!!

 Then for the weekend: Saturday & Sunday 

- Pitch Competition: Watch or participate in a high-stakes pitch competition.

- Speaking sessions and mastermind on AI, time & mind hacking, and peak performance

- Mental Reprogramming Session: Led by William Lamb, the one million dollar 1-on-1 coach.

Why You Can't-Miss This Giveaway:

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Questions? Text Fabian at 954-325-0527 with "Learn More" for details on events or how we can help you get to the next level! (And no... he not an AI 🤣)

Don't Miss Out!

The Collective

⚡ Hands-on: Supercharge With AI Tools

Work smarter, not harder!

Introducing Nextool AI: Nextool AI serves as a comprehensive hub for finding AI-powered apps and software tailored to diverse business needs. From chatbots to productivity tools, Nextool AI provides a wide array of top-rated solutions designed to enhance business operations efficiently.

Steps to Use Nextool AI:

1. Visit the Website:

   • Go to the Nextool AI website to start exploring the various AI tools available.

2. Search for Tools:

   • Use the search function to find specific AI tools that meet your business needs, such as "YouTube SEO" or other relevant queries.

3. Explore Categories:

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4. Select and Learn About a Tool:

   • Choose a tool to get detailed information about how it can benefit your business and its specific features.

5. Vote or Provide Feedback:

   • Participate in the community by voting for tools or providing feedback based on your experience.

6. Submit New Tools:

   • If you have an AI tool or know one that isn't listed, you can submit this tool to the platform for inclusion.

By following these steps, businesses can leverage the right AI solutions to streamline operations, enhance creativity, and improve productivity effectively.

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I hope you find these resources helpful. Let me know if you have any questions, if there's anything else I can do to assist you, or what you would like to learn more about in AI.

Have an amazing day!

No more playing catch-up. It's time to GET AHEAD!!! 🚀🚀🚀

🙌🏼

Elena

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