Lifeboat Foundation: Safeguarding Humanity
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Category: business – Page 61

In the 1990 fantasy drama — Truly, Madly, Deeply, lead character Nina, (Juliet Stevenson), is grieving the recent death of her boyfriend Jamie (Alan Rickman). Sensing her profound sadness, Jamie returns as a ghost to help her process her loss. If you’ve seen the film, you’ll know that his reappearance forces her to question her memory of him and, in turn, accept that maybe he wasn’t as perfect as she’d remembered. Here in 2023, a new wave of AI-based “grief tech” offers us all the chance to spend time with loved ones after their death — in varying forms. But unlike Jamie (who benevolently misleads Nina), we’re being asked to let artificial intelligence serve up a version of those we survive. What could possibly go wrong?

While generative tools like ChatGPT and Midjourney are dominating the AI conversation, we’re broadly ignoring the larger ethical questions around topics like grief and mourning. The Pope in a puffa is cool, after all, but thinking about your loved ones after death? Not so much. If you believe generative AI avatars for the dead are still a way out, you’d be wrong. At least one company is offering digital immortality already — and it’s as costly as it is eerie.

Re;memory, for example, is a service offered by Deepbrain AI — a company whose main business includes those “virtual assistant” type interactive screens along with AI news anchors. The Korean firm took its experience with marrying chatbots and generative AI video to its ultimate, macabre conclusion. For just $10,000 dollars and a few hours in a studio, you can create an avatar of yourself that your family can visit (an additional cost) at an offsite facility. Deepbrain is based in Korea, and Korean mourning traditions include “Jesa”, an annual visit to the departed’s resting place.

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The supercomputer is part of the larger constellation of inter-connected supercomputers with a combined capacity of 36 exaFLOPS.

Abu Dhabi-based technology holding group G42 has unveiled the world’s fastest supercomputer, the Condor Galaxy-1 (CG-1), which has 54 million cores and a processing capacity of four exaflops, a press release said. The supercomputer is located in Santa Clara, California, and will be operated by Cerebras, a US-based AI firm under US laws.

As artificial intelligence (AI) technology takes center stage, there is a strong demand for supercomputers to help businesses train their own models. Companies like Microsoft have offered to build the extremely expensive infrastructure and rent it out for companies to work on them.

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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.

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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.

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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.

Meta decided to make LLaMA 2 available for free through Microsoft’s Azure platform, as well as other providers such as AWS, Hugging Face, and direct download. Meta said that it wants to give businesses, startups, and researchers access to more AI tools, allowing for experimentation and innovation as a community. Meta also said that it is committed to “building responsibly” as it moves forward with its AI system. The company said its models have been tested for safety by “generating adversarial prompts to facilitate model fine-tuning”, both internally and externally. Meta also discloses how the models are evaluated and tweaked.

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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.

The Federal Land Dividend aims to lease out land and natural resources to big business that agree, in exchange, to pay a monthly income to all Americans. It’s estimated that if just 60 percent of America’s unused federal land was leased out at fair rates, a $1,000 monthly check could be sent to all Americans—regardless of age—for decades if not centuries. Because land and raw materials often move in tandem with inflation, payouts could increase with inflation. Furthermore, this plan does not touch any national parks whatsoever. Much of this land is in places that few humans ever visit or see.

Some conservatives support the Federal Land Dividend idea because it will boost big business while providing an economic stimulus to all Americans. Some liberals also support the idea because it will dramatically help end poverty. Even some libertarians like the idea because it returns the value of federal land to the people, instead of the government hoarding and controlling it.

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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 —a device designed to deliver a single dose of medicine—for a tenth of the cost of a commercially purchased product.

A new study, published July 14 in the journal PLOS One, describes the manufacturing design of the spring-driven device, which could cost less than $7 to make while a store-bought version is closer to $70.

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“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.”

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