The Impact of AI on Work and Life - the most disruptive Change of our Lifetime?
Recently, I had some days off and took the time deeply delve into the captivating world of Artificial Intelligence. I wanted to scratch beyond the standard press converage to explore the potential of this remarkable technology and gain a deeper understanding of how it might impact our work and lives. What I discovered has left me awestruck, and I want to share my thoughts with you.
AI, and particularly what I've witnessed from OpenAI's #ChatGPT, Microsoft's #NewBing, Google's #Bard #Midjourney, #StabilityAI and the ever increasing number of #OpenSource Large Language Models at #Huggingface are set to drive the most fundamental disruptive change we'll encounter in our lifetime. It's not just another nerdy discipline anymore or toying around with chatbots; I strongly believe we're witnessing the rise of a new era. Especially #LLMs will impact nearly every job and our lives pretty soon, both directly and indirectly, and vastly boosting #productivity. The implications of this transformation will be enormous and will largely reshape the skills we humans should invest in ourselves to stay relevant in the future.
As with any technological revolution, the specific impacts of AI will be difficult to predict and reach from rendering certain roles completely obsolete while creating a surge in demand for new jobs we hardly can imagine today or as Sam Altman, CEO of OpenAI put it in a Senate subcommittee hearing on Tuesday: This technology “will, I think, entirely automate away some jobs. And it will create new ones that we believe will be much better.” Looking at the tremendous speed of development, we witness revolutionary new applications like #autogpt popping up almost daily and every new release of the base models like the step up from #gpt3 to #gpt4 and the release of powerful #apis unlock even more potential, improve quality and eliminate deficiencies like #hallucinations. On the other hand AI is facilitating an explosion of made-up information that makes it difficult for people to separate fact from fiction.
"Anybody can deny anything," New York University professor emeritus Gary Marcus warns as AI is facilitating an explosion of made-up information that makes it difficult for people to separate fact from fiction. All of this paired with currently almost zero regulation and shallow efforts to create and adhere to a framework of #aiethics. All of this leaves us currently in the "wild west" of the very early days of mass-scale AI.
Personally, I believe that history will tell us that it is largely irrelevant if we like the emerging AI technologies or not. AI is facilitating an explosion of made-up information that makes it difficult for people to separate fact from fiction With AI unleashed to the world, it has become our responsibility to deal with it and put it to its best use serving us. We therefore should learn as much as we can - no matter what professional role we are in - to actively engage in the AI revolution and put pitch in our individual human skills, experience, knowledge, diversity and moral compasses to work.
“It’s important to understand that GPT-4 is a tool, not a creature,” Mr. Altman said, referring to the most recent version of the system that powers ChatGPT. “And it’s a tool that people have great control over.”
Now, I'm eager to hear your thoughts on AI. Will we be able to master te balance between technological innovation and our ethical and moral responsibility? What are your insights, and how do you envision the future? Let's embark on this journey together and shape the path ahead!
#AI #FutureOfWork #Innovation #ShapeTheFuture
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1 年Great post. Education and awareness play a pivotal role in this journey and as AI continues to advance, we can empower people to make informed decisions and contribute to the responsible development and deployment of this technology.
Corporate Venture Capital at EnBW New Ventures
1 年Heinrich, have you been able to achieve results with f.e. auto-gpt that have really made some of your work easier? My current experience is still that each of these tools leads to surprising and surprisingly good results on the questions you prompt. But when it comes to merging the information and processing, they still fail.