Sam Altman, the CEO of artificial intelligence lab OpenAI, told a Senate panel he welcomes federal regulation on the technology "to mitigate" its risks. The CEO of the company that delivered ChatGPT to the world said Tuesday he was not interested in becoming the federal government's top regulator of artificial intelligence technology. CEO Sam Altman and other witnesses at a Senate Judiciary subcommittee were asked what they would do to ensure the government has a firm grip on how AI is developed and deployed, and Altman said his first step would be to create a new federal agency. "I would form a new agency that licenses any effort above a certain scale of capabilities and can take that license away and ensure compliance with safety standards," he said in response to a question from Sen. John Kennedy, R-La. Sam Altman, CEO and co-founder of OpenAI, speaks during a Senate Judiciary Subcommittee hearing in Washington, D.C., Tuesday, May 16, 2023.

Before you start reading the article, let me be honest with you: I was feeling pretty saturated with writing tutorials. So, I decided to jump on the bandwagon (better late than never) and share my opinions on why everyone is so hyped up about ChatGPT. I believe it's not just another tech trend that will dissipate in a few months. ChatGPT is already here and changing the way we work. And it's not just developers who should be wary -- with the potential to replace just about every job out there, ChatGPT is set to revolutionize the workforce as we know it.

OpenAI CEO Sam Altman said that he was "a little bit scared" of ChatGPT and admitted that his technology would likely destroy "a lot of current jobs." The CEO of the company behind ChatGPT, likely the world's most famous AI chatbot, admitted that he was "a little bit scared" of his company's creation during an interview with ABC News. "We've got to be careful here," OpenAI CEO Sam Altman said during an interview Thursday. That's because the technology itself, he explained, was extremely powerful and could be dangerous. "I think people should be happy that we are a little bit scared of this," the 37-year-old tech guru said.

GPT is short for Generative Pre-training Transformer (GPT), a language model written by Alec Radford and published in 2018 by OpenAI, Elon Musks's artificial intelligence research laboratory. It uses a generative model of language (where two neural networks perfect each other by competition) and is able to acquire knowledge of the world and process long-range dependencies by pre-training on diverse sets of written material with long stretches of contiguous text. GPT-2 (Generative Pretrained Transformer 2) was announced in February 2019 and is an unsupervised transformer language model trained on 8 million documents for a total of 40 GB of text from articles shared via Reddit submissions. Elon Musk was famously reluctant to release it as he was concerned it could be used to spam social networks with fake news. In May 2020 OpenAI announced GPT-3 (Generative Pretrained Transformer 3), a model which contains two orders of magnitude more parameters than GPT-2 (175 billion vs 1.5 billion parameters) and which offers a dramatic improvement over GPT-2.

When we get to a point where literally just about everything can be done more cheaply and more efficiently by robots, the elite won't have any use for the rest of us at all. For most of human history, the wealthy have needed the poor to do the work that is necessary to run their businesses and make them even wealthier. In this day and age we like to call ourselves "employees", but in reality we are their servants. Some of us may be more well paid than others, but the vast majority of us are expending our best years serving their enterprises so that we can pay the bills. Unfortunately, that paradigm is rapidly changing, and many of the jobs that humans are doing today will be done by robots in the not too distant future.

Enterprises are no longer struggling to decide if, but when and how, to apply artificial intelligence in their operations. Businesses are constantly finding new ways to leverage AI, raising adoption rates and comfort levels with the technology. This is what the second edition of our global AI research confirms, according to views from senior executives, employees and consumers. A quarter of the senior executives in the study say that their companies plan to fundamentally reimagine their businesses with AI in the next three years--these organizations are the "visionaries" that are taking bolder steps. What's also significant is that more workers see career opportunities from AI than feel it threatens their current job.

The future is also not all bleak as clearly there are many new jobs being created. The IDC sees 2.1m jobs being created in the US by technology augmenting workers in the world of CRM over the five years to 2021. AI has the potential to make many jobs more productive and remove a lot of the mundane and boring elements of jobs. A key conclusion worth noting is how to protect yourself from unemployment which is listed as education. The World Economic Forum estimates that those with GCSE2 have a 46% risk of losing their jobs whilst those with degrees are only at a 12% risk. What we are going to see are jobs being defragmented and the tasks that can be automated being undertaken by machines and tasks that requiring humans being consolidated into new roles. In fact the World Economic Forum's Future of Jobs 2016 estimates that 65% of primary school children will end up working in jobs that don't exist yet. Part of the reason for the variation in predictions comes form the fact that there are a number of scenarios being considered.

The rapid pace of innovation and the constantly exploding collection of possibilities is a major contributor to the fun we all have in digital jobs. There is never a boring moment, there is never time when you can't do something faster or smarter. The tiny downside of this is that our parents likely never had to invest as much in constant education, experimentation and self-driven investment in core skills. They never had to worry that they have to be in a persistent forward motion… sometimes just to stay current. This reality powers my impostor syndrome, and (yet?) it is the reason that I love working in every dimension of digital. We are at an inflection point in humanity's evolution where in small and big ways, we can actually change the world. With that context, this post is all about career management in the digital space. Like this blog, it will be particularly relevant for those who are in digital analytics and digital marketing. I would offer that the higher-order-bits in each of the three sections will provide valuable food-for-thought for anyone in a digital role.

Artificial intelligence (AI) research has a long history, but even before computers existed Hollywood has been implanting a fear of intelligent machines into the public psyche, with more than sixty films to date depicting stereotypical threats to humankind. But only in the last few years has AI featured as a regular news story, invariably illustrated by images of suit-wearing robots seated around a board table. As intelligent machines have become mainstream, all kinds of media outlets serve up stories - some of them post-truth - about how robots will replace humans across a wide range of sectors: thanks to their superior speed and intelligence many current jobs will become obsolete. It will happen fast - within the next generation, according to those seeking to grab our attention, leaving humans to find alternative employment, if they can. As soon as 2021, robots will eliminate 6% of all US jobs, according to market research company Forrester while the World Economic Forum (WEF) predicts a loss of 7 million jobs within four years.

Robots will take over 6 percent of jobs in USA by 2021, says a recent report by Forrester. Oxford University is even going as far as to say that by 2035, up to 47 percent of our jobs are at high risk of being automated. If that number doesn't have an impact, imagine this: by the time the current generation of infants legally reaches adulthood, they will have done so in a world where nearly half of our current jobs may be automated. What are the driving forces behind this development? And which jobs will be targeted?