Lifeboat Foundation

Data captured and fed into an AI model should be used to shape and inform marketing programs for the betterment of the customer’s experience. Such a practice enables marketers to utilize valuable information but doesn’t put data privacy at risk. Humans maintain control and can add their own handprint to AI-generated content to develop something much more meaningful that resonates with targeted audiences. Within that construct, marketers must bring the heart and the emotional intelligence to generative AI if they want to maximize its potential while maintaining ethical boundaries.

Human-connected generative AI is poised to be the ultimate tool if used responsibly. It can recognize patterns and insights and develop recommendations for actions, effectively making workers smarter and better at their jobs.

Most businesses see generative AI’s capabilities as opportunities to do more with less. Now it’s time to take the next step forward, connecting data insights with personalized content to ethically move through the pipeline at a new level of speed and efficiency—and in a manner that’s rewarding and enriching for customers.

The technology is not aimed at streaming high-quality videos but is helping businesses become more competitive.

China built a whopping 600,000 5G base stations in the last three months as it raced to achieve its target of three million before the end of the year, the South China Morning Post.

5G is the terminology used to denote the fifth generation of mobile network technology that can support high-speed broadband internet with low latency. Unlike its predecessors, 5G mobile networks have massive network capacities and can deliver a uniform user experience.

Bloomberg connects decision makers to a dynamic network of data, delivering business and financial information, news and insights globally.

The more competition the better. Download and spread around the world so large companies cant seal away competition under a cloak of AI safety.

Meta, the company formerly known as Facebook, has recently announced that it is open-sourcing its large language model (LLM) called LLaMA 2, making it free for commercial and research use. This move is seen as a direct challenge to OpenAI’s ChatGPT, the popular chatbot powered by the GPT-4 model, which is not open-sourced and requires a subscription fee to access.

LLaMA 2 is a generative AI model that can produce natural language texts based on a given input or prompt. It can be used for various applications such as chatbots, content creation, summarization, translation, and more. LLaMA 2 is the second version of Meta’s LLM, which was first released in February 2023. According to Meta, LLaMA 2 was trained on 40% more data than LLaMA 1, which includes information from “publicly available online data sources”. It also claims that it “outperforms” other LLMs like Falcon and MPT when it comes to reasoning, coding, proficiency, and knowledge tests.

Continue reading “Meta open-sources LLaMA 2 to compete with ChatGPT” »

Here’s my new Opinion essay at Newsweek. It’s about the need to use our nation’s massive natural resources to pay for a bipartisan tax free universal basic income, called the Federal Land Dividend. I hope you will read and share it!

In 2018, I began lecturing about the Federal Land Dividend, a bipartisan tax-free Universal Basic Income (UBI) based on monetizing the 640 million acres of mostly unused federally owned land. Due to the lasting effects of the coronavirus pandemic, which include a struggling U.S. economy, there is increasing interest in implementing basic income plans. The Federal Land Dividend is the only method that is both bipartisan and tax free.

An estimated 50 percent of the 11 most western states are mostly empty land that belong to the government. Estimates say this land and its resources are worth approximately $100 to $200 trillion. If we divide the middle— $150 trillion —by America’s population of 333 million, every person would have approximately $450,000 in equity. That’s much higher than the median net worth in America of $122,000.

Continue reading “It’s Time to Consider the Federal Land Dividend” »

Sir Frederick Banting was clearly ahead of his time. He is also an inspiration for a new open source self-administering drug delivery device. Long before open source was an option or even a concept, the now-celebrated former Western lecturer refused to patent insulin because he wanted it to be inexpensive and widely available for the betterment of all.

Now, 100 years after Banting won the Nobel Prize for his discovery, Western researchers are at it again. A team led by engineering and Ivey Business School professor Joshua Pearce has developed a new 3D printed, completely open-source autoinjector —a device designed to deliver a single dose of medicine—for a tenth of the cost of a commercially purchased product.

Continue reading “Research team creates open-source medicine autoinjector—for a tenth of the cost” »

“The reason I was invited on is I’m the poster child for getting your ass kicked in the public markets by A.I. since I lost 40% of value in five minutes,” Rosensweig said. “So for those of you who didn’t want to take that, I took it for you,” Rosensweig said with apparent sarcasm. “My pleasure.”

Chegg’s new A.I. tool, called CheggMate, will be a personal learning assistant for students that creates bespoke lesson plans. Trained on a set of 100 million correct answers to 17 million new questions posed by students each year over the past decade, the A.I. will create a tailored learning experience for students, taking into account their learning style, the date of their exam or deadline, and even how they’re feeling that day, among other factors. It will also connect students to remote study groups and help them find job opportunities.

“Just imagine the following scenario,” Rosensweig said, “you start to have a conversation with somebody that knows you, knows how you’re feeling that day, knows what you’re studying, knows when your midterm is, knows what you’re good at, what you’re bad at, builds you a personalized plan, advocates for you.”

He speaks on unusual topics and translates trends into business opportunities.

Decision theorist Eliezer Yudkowsky has a simple message: superintelligent AI could probably kill us all. So the question becomes: Is it possible to build powerful artificial minds that are obedient, even benevolent? In a fiery talk, Yudkowsky explores why we need to act immediately to ensure smarter-than-human AI systems don’t lead to our extinction.

If you love watching TED Talks like this one, become a TED Member to support our mission of spreading ideas: https://ted.com/membership.

Continue reading “Will Superintelligent AI End the World? | Eliezer Yudkowsky | TED” »