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Students learning quantum mechanics are taught the Schrodinger equation and how to solve it to obtain a wave function. But a crucial step is skipped because it has puzzled scientists since the earliest days—how does the real, classical world emerge from, often, a large number of solutions for the wave functions?

Each of these wave functions has its individual shape and associated , but how does the “collapse” into what we see as the classical world—atoms, cats and the pool noodles floating in the tepid swimming pool of a seedy hotel in Las Vegas hosting a convention of hungover businessmen trying to sell the world a better mousetrap?

At a high level, this is handled by the “Born rule”—the postulate that the probability density for finding an object at a particular location is proportional to the square of the wave function at that position.

AI’s impact extends beyond operational efficiency; it is vital in boosting job satisfaction and retention among hourly workers. Inconsistent scheduling and poor communication have long been pain points for this group, especially as one in five Gen-Z workers juggles multiple jobs (poly-employment). AI will directly address the challenges associated with this shift through predictive scheduling and real-time updates, providing clear and reliable expectations. It’s truly a win-win: When employees are on time, customers receive the quality service they deserve.

The World Economic Forum predicts that 23% of global jobs will change in the next five years due to industry shifts, including AI. Through AI, employees can receive support with ongoing training and development tailored to their unique needs and career goals. By providing accessible, on-demand learning, it empowers workers to upskill and grow within their roles, fostering a sense of progress and fulfillment. These resources are essential for Gen-Z, who prioritize personal growth and are likelier to stay with employers who invest in their development.

As we look toward the future, it’s clear that AI is not just a tool for corporate jobs but also a powerful ally for the hourly workforce. By embracing AI, businesses can meet diverse employee needs, enhance productivity and create work environments that are technologically advanced and genuinely supportive. However, for AI to reach its potential in workplaces, industry-wide standards around data transparency and ethical practices are essential.

Out the free AMD loaner offer. Test the Ryzen PRO laptops yourself and experience the benefits they can bring to your business:
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The Paper:
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Timestamps.
00:00 — New Semiconductor.
04:26 — How it works.
07:23 — Outlook and Alternatives.
11:30 — Top 5 Technologies of 2024

The videos I mentioned:

How advanced will our civilization become?
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00:00 Type 1 Civilization (Planetary)
32:43 Type 2 Civilization (Stellar)
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01:41:09 Type 4 Civilization (Universal)

💡 Future Business Tech explores AI, emerging technologies, and future technologies.

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As energy-hungry computer data centers and artificial intelligence programs place ever greater demands on the U.S. power grid, tech companies are looking to a technology that just a few years ago appeared ready to be phased out: nuclear energy.

After several decades in which investment in new nuclear facilities in the U.S. had slowed to a crawl, tech giants Microsoft and Google have recently announced investments in the technology, aimed at securing a reliable source of emissions-free power for years into the future.

Earlier this year, online retailer Amazon, which has an expansive cloud computing business, announced it had reached an agreement to purchase a nuclear energy-fueled data center in Pennsylvania and that it had plans to buy more in the future.


Amazon’s plan, by contrast, does not require either new technology or the resurrection of an older nuclear facility.

The International Renewable Energy Agency says breakthroughs like this, along with others such as solar panels that work at night or China’s flywheel energy storage project, are key to cutting back on dirty energy use and creating stronger and more reliable power systems.

“Further international cooperation is vital to deliver fit-for-purpose grids, sufficient energy storage and faster electrification, which are integral to move clean energy transitions quickly and securely,” Executive Director of the International Energy Agency Fatih Birol said in an IEA report.

This new way of storing energy could deliver cleaner, more affordable energy to cities, businesses, and homes. Researchers at Rice University believe it could be widely available in five to 10 years, making renewable energy more practical and accessible.

OpenAI on Thursday announced its first partnership with a higher education institution. Starting in February, Arizona State University will have full access to ChatGPT Enterprise and plans to use it for coursework, tutoring, research and more.

The partnership has been in the works for at least six months, when ASU Chief Information Officer Lev Gonick first visited OpenAI’s HQ, which was preceded by the university faculty and staff’s earlier use of ChatGPT and other artificial intelligence tools, Gonick told CNBC in an interview.

ChatGPT Enterprise, which debuted in August, is ChatGPT’s business tier and includes access to GPT-4 with no usage caps, performance that’s up to two times faster than previous versions and API credits.

Your safety framework must include content filtering, output validation, rate limiting and detailed audit logging. I’ve found that implementing circuit breakers—automatic capability disablers triggered by anomalies—prevents small issues from becoming major incidents. For example, if an agent starts generating an unusual number of error responses, the system should automatically restrict its capabilities and alert the operations team.

Last year, I spoke to a tech company whose AI assistant became a victim of its own success. The system that flawlessly handled 1,000 daily requests crashed when usage jumped to 100,000 requests after a successful product launch. This taught us the importance of building for scale from day one. Even well-established companies like Netflix occasionally face challenges with scale, as seen during the recent live-streaming outages for the Jake Paul vs. Mike Tyson fight.

A production-ready architecture needs several key components working in harmony. The core engine should be modular, making updates and maintenance straightforward. Your integration layer should connect smoothly with enterprise systems through standardized APIs. Comprehensive monitoring helps you spot issues before they impact users, and robust memory management ensures consistent context handling across interactions.

In 1956, a group of pioneering minds gathered at Dartmouth College to define what we now call artificial intelligence (AI). Even in the early 1990s when colleagues and I were working for early-stage expert systems software companies, the notion that machines could mimic human intelligence was an audacious one. Today, AI drives businesses, automates processes, creates content, and personalizes experiences in every industry. It aids and abets more economic activity than we “ignorant savages” (as one of the founding fathers of AI, Marvin Minsky, referred to our coterie) could have ever imagined. Admittedly, the journey is still early—a journey that may take us from narrow AI to artificial general intelligence (AGI) and ultimately to artificial superintelligence (ASI).

As business and technology leaders, it’s crucial to understand what’s coming: where AI is headed, how far off AGI and ASI might be, and what opportunities and risks lie ahead. To ignore this evolution would be like a factory owner in 1900 dismissing electricity as a passing trend.

Let’s first take stock of where we are. Modern AI is narrow AI —technologies built to handle specific tasks. Whether it’s a large language model (LLM) chatbot responding to customers, algorithms optimizing supply chains, or systems predicting loan defaults, today’s AI excels at isolated functions.

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A powerful earthquake, possibly the strongest in years, has devastated the island nation of Vanuatu, killing at least 14 people. More than 200 are reported injured according to a post on X by Katie Greenwood, Fiji-based head of the Red Cross in the Pacific.

The 7.3-magnitude jolt rocked the region on Tuesday sending tremors through homes, businesses and critical infrastructure. Witnesses described buildings collapsing, roads blocked by landslides and hospitals stretched thin as reports of injuries — and unconfirmed casualties — surfaced.