Sentient Foundation’s Post

Behind the curve with AI? Take action to learn about the latest and greatest AI (artificial intelligence) tools rolling out. Joining this session on February 15th. Registration is open now!

We asked ChatGPT and Perplexity what they thought of one-another. Here's how it went... By now we’ve all experimented with ChatGPT to help us with research, craft better emails and write fantastical Harry Potter parodies. When you think of AI, you think ‘ChatGPT’. But have you heard of ‘Perplexity’? What better way to learn about their differences by asking each what they think of one-another (Yes, we’re aware we just referred to ‘them’ as sentient beings). ChatGPT countered with a somewhat philosophical response, prefacing the response with ‘define the concept of better’. ChatGPT excels with engaging with ‘natural language dialogue’, while Perplexity is a metric used to evaluate the language models and predictive text. What does this mean? It chooses content on a lower perplexity value, so the formulated responses are more easily understood by the user. Perplexity has the advantage of providing better information through the use of visual aids, real-world examples and clear explanations. Perplexity was a little kinder in its response, noting that they were 'both powerful AI tools with unique strengths'. ChatGPT excels at responding to open-ended, complex questions and generating creative content or code for the user. In a nutshell: We really liked that Perplexity cites its sources (take that every uni lecturer ever), over needing to have a little blind faith in the legitimacy of ChatGPT’s references. Check it out for yourself! https://www.perplexity.ai *This post was written by an actual human ;)

I've been pondering an intriguing thought experiment: what if AI hallucinations are actually a form of creativity? Over time, I've noticed surprising parallels between human imagination and the content AI generates. Could AI be reshaping our understanding of creativity? To dive deeper into this idea, I collaborated with ChatGPT, guiding it to explore and articulate these thoughts in a detailed post. If this subject intrigues you, I encourage you to check out the post and join the conversation! Read the post here: https://lnkd.in/dvNPVw7J

ChatGPT and other deep generative models are proving to be uncanny mimics. These AI supermodels can churn out poems, finish symphonies, and create new videos and images by automatically learning from millions of examples of previous works. These enormously powerful and versatile tools excel at generating new content that resembles everything they’ve seen before.

One of my all-time favorite philosophers is Ludwig Wittgenstein. He wrote extensively about the relationship between language and the mind. His ideas are especially relevant for anyone working in AI, because his views on language help us better understand the limitations of large language models. I wrote a short essay exploring those ideas, what you can take away from them, and why learning the meaning of words doesn’t necessary equate to learning something about the world. https://lnkd.in/eCZYsKah Besides Wittgenstein, it takes inspiration from the writings of Melanie Mitchell, Gary Marcus, Emily M. Bender, Subbarao Kambhampati and others. Enjoy reading!

ChatGPT and other deep generative models are proving to be uncanny mimics. These AI supermodels can churn out poems, finish symphonies, and create new videos and images by automatically learning from millions of examples of previous works. These enormously powerful and versatile tools excel at generating new content that resembles everything they’ve seen before.

Multi-modal AI in the Earth sciences is going to be an exciting area over the next few years.

I was intrigued and skeptical reading the title of this article: strategy needs humans and takes a lot of time, doesn't it? This study compares the outputs of a group of INSEAD MBA students and a cross-connection of ChatGPT to the Blue Ocean Framework, a strategy tool. Both they are asked to come up with a strategy to create a bagel bakery in Paris. The results? Both gave good solutions, although AI was quicker and came up with a novel idea. The conclusion? Strategy-making requires a human touch, and by freeing strategists from routine tasks, AI gives them the opportunity to become more imaginative and experimental. #changeAI #strategy