Svetlana Mozul’s Post

Kudos to Nicholas Thompson 👏🙌 for highlighting the work and vision of Professor Terence Tao and the "complementary strengths" of humans and AI. While AI will soon perform many jobs currently held by humans, our common destiny on the path toward an improved humanity and a more sustainable existence on Earth and beyond will benefit from these complementary strengths, as well as a mutual big-picture purpose, all of which will help improve humans and AI alike. It's this type of thinking, from great minds like Prof. Tao and from average folks who struggle with basic algebra, that will ensure positive outcomes in the imminent AI-integrated future. #Truth Our common success will depend on the strengths we each (and all) bring to the table. #AIIntegratedFuture #EthicalAI #EthicalHumans #EthicalFuture #GameOfLife #BigPicture #BoldPurpose #SelfActualization #SocialEngineeringFromWithin

Very interesting article about a topic I believe is quite relevant and topical. Recently I have been involved in a project along these lines.

MEL SELLICK and Nicholas Thompson Thank you ... for sharing this. However, without being skeptical, or even cynical; what you say has always been the rule of the game...sort of predictable, and obvious. Just as this quote of Lenin help us understand pivotal times of history...whatever pivotal they be ... but they never are rare...and #Blackswan periods, going forward, are likely to be more frequent, due to the very nature of the #VUCA world, at a time when the world has been much devoid of true global statesman, better if global statesmen. Lenin noted; "There are decades where nothing happens; and there are weeks where decades happen." History ... be it political, economic, or even technical history, tell us history is replete with such examples. Having said that, there is an opportunity to explore the other end of the pendulum ... extreme.if you think ... but with a rational mind. Rational minds are actually more needed, in times turmoil and extreme volatility: Just as Bill Keller realised... In moments of extreme volatility The "#hypepart gets further hyped... One needs to recall Amara's Law https://lnkd.in/ge8YAzeG "We tend to overestimate the effect of a technology in the short run and underestimate the effect in the long run."

Such a fan of what I call the ‘squint test’ - or the inspired guess 👇🏻 So often we’re mired by risk aversion and a desire to analyse the analysis that we miss an opportunity to make a move… One of the benefits of 🚀Common sense 🚀Experience 🚀Creative thinking …is that we become expert at spotting opportunities, questioning the question we’re asking and using our imagination to create visions of the future. That’s something AI won’t do for us…no matter how much we want it to. AI plays a crucial role in innovation … 💥AI augments our thought process; 💥AI speeds-up discovery 💥AI takes away the fear from what in the past has felt like a task too big / complicated. Long live people, creativity and common sense. #AI #innovation #augmentation #creativity

AI and Humans: Complementary Strengths Shaping the Future, According to Tao’s Mathematical Insights

Nice interview on indispensable function of human in flawless utilization of AI, today.

Insightful article #matteowong- “AI is very good at converting billions of pieces of data into one good answer. Humans are good at taking 10 observations and making really inspired guesses.” Here is to many more inspired guesses.

You don't have to understand the type of math Terence Tao studies (I don't) to glean takeaways from his comments about using AI to explore the boundaries of math. Having strong subject matter expertise is crucial for getting the most out of AI tools. AI use cases are often complex and context-dependent, so identifying which ones are valuable also requires at minimum a basic understanding of how the tools work, including their capabilities and limitations. Determining which problems can best be addressed with AI, how to define them properly, and then integrating the tool into the workflow demands a high level of expertise - both topic and tool. Here's a great quote: "I think at the frontier, we will always need humans and AI. They have complementary strengths. AI is very good at converting billions of pieces of data into one good answer. Humans are good at taking 10 observations and making really inspired guesses." Lane Dilg, thanks for sharing the article :)

Philosophy in the Age of AI: Why It Matters More Than Ever As AI technologies rapidly evolve, the role of philosophy is becoming increasingly crucial. A recent article by Anthony Grayling and Brian Ball from Northeastern University London delves into this intersection, highlighting how philosophy has shaped AI since its early days and continues to influence its development. Key Insights: 1. Historical Foundations: Philosophy and logic laid the groundwork for AI, with early AI programs based on philosophical principles from thinkers like Frege, Gödel, and Turing. 2. Modern Implications: Today's AI, including large language models like ChatGPT, echoes philosophical ideas. Wittgenstein's notion that "the meaning of a word is its use in the language" resonates with how these models operate. 3. Ethical and Consciousness Question: Philosophical inquiry is vital for addressing whether AI can truly understand language or achieve consciousness, challenging the limits of scientific explanation. 4. Human Values and AI Alignment: Ensuring AI systems align with human values isn't just a technical challenge but a social one, necessitating collaboration among philosophers, social scientists, policymakers, and the public. As we anticipate AI reaching superintelligence within this decade, integrating philosophical perspectives is essential for navigating ethical complexities and aligning AI with societal values. #AI #Philosophy #Ethics #Technology #Innovation #ArtificialIntelligence #HumanValues

https://lnkd.in/db_m2qWr <<... philosophy has played a role here too. Take large language models, such as the one that powers ChatGPT, which produces conversational text. They are enormous models, with billions or even trillions of parameters, trained on vast datasets (typically comprising much of the internet). But at their heart, they track – and exploit – statistical patterns of language use. Something very much like this idea was articulated by the Austrian philosopher Ludwig Wittgenstein in the middle of the 20th century: “the meaning of a word”, he said, “is its use in the language”.But contemporary philosophy, and not just its history, is relevant to AI and its development.>> #language #process #philosophy #AI #meaning #Wittgenstein #postmodern #statistics #development #data