The Economist brought together Yuval Noah Harari and Mustafa Suleyman to grapple with the biggest technological revolution of our times. They debate the impact of AI on our immediate futures, how the technology can be controlled and whether it could ever have agency.
00:00 - Harari and Suleyman discuss the future of AI
00:51 - What will the world look like in 2028?
03:35 - Is AI comparable to an alien invasion?
06:22 - The importance of regulation
Sign up to The Economist’s daily newsletter: https://econ.st/3QAawvI
Watch the full interview here: https://econ.st/48ajUzL
Yuval Noah Harari argues that AI has hacked the operating system of human civilisation: https://econ.st/3PDyFUz
Yuval Noah Harari argues that what’s at stake in Ukraine is the direction of human history: https://econ.st/3sRFNDF
How scientists are using artificial intelligence: https://econ.st/3PkMRAc
How artificial intelligence can revolutionise science: https://econ.st/3sMVDPQ
How worried should you be about AI disrupting elections?: https://econ.st/48buN4d
Your employer is (probably) unprepared for artificial intelligence: https://econ.st/48foCMI
What are the chances of an AI apocalypse?: https://econ.st/3Lm2VR2
How Britain can become an AI superpower: https://econ.st/3sRLSA5
Why tech giants want to strangle AI with red tape: https://econ.st/4882bJj
Large, creative AI models will transform lives and labour markets: https://econ.st/3ZeQLz4
The relationship between AI and humans: https://econ.st/3EDmKje
Watch: How to stop AI going rogue: https://econ.st/46eekdX
Watch: Beyond ChatGPT: what chatbots mean for the future: https://econ.st/3Piq0Fl
Listen: Mustafa Suleyman on the coming age of AI: https://econ.st/45RxTbZ
Listen: How will AI influence the 2024 election?: https://econ.st/3ZeEdaY
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#ai #aigirl
So what do you need to know to prepare for the next 5, 10, or 25 years of a world increasingly impacted by artificial intelligence? How could AI change your business and your life irreparably? Our guest today, Mo Gawdat, an AI expert and former Chief Business Officer at Google [X], is going to break down what you need to understand about AI and how it is radically altering our workplaces, careers, and even the very fabric of our society.
Mo Gawdat is the host of the popular podcast, Slo Mo, and the author of three best-selling books. After a 30-year career in tech, including working at Google's “moonshot factory” of innovation, Mo has made AI and happiness his primary research focuses. Motivated by the tragic loss of his son, Ali, in 2014, Mo began pouring his findings into his international bestselling book, Solve for Happy. Mo is also an expert on AI, and his second book, Scary Smart, provides a roadmap of how humanity can ensure a symbiotic coexistence with AI.
🌟 Timestamps 🌟
In this episode, Hala and Mo will discuss:
00:00 - Intro
03:05 - His early days working on AI at Google
08:50 - How AI is surpassing human intelligence
20:40 - Why AI can have agency and free will
24:09 - How machines already manipulate us in our daily lives
35:19 - The boundaries that could help us contain the risks of AI
42:26 - The Prisoner’s Dilemma of AI development
41:49 - How AI is an arms race akin to nuclear weapons
49:15 - Why AI will redesign the job market and the fabric of society
52:54 - A world with a global intelligence divide like the digital divide
50:32 - Why we are facing the end of truth
And other topics…
Mo Gawdat is the former Chief Business Officer of Google [X] and now the host of the popular podcast, Slo Mo, and the author of three best-selling books. After a 30-year career in tech, including working at Google's “moonshot factory” of innovation, Mo has made AI and happiness his primary research focuses. Motivated by the tragic loss of his son, Ali, in 2014, Mo began pouring his findings into his international bestselling book, Solve for Happy. His mission is to help one billion people become happier. Mo is also an expert on AI, and his second book, Scary Smart, provides a roadmap of how humanity can ensure a symbiotic coexistence with AI. Since the release of ChatGPT, Mo has been recognized for his early whistleblowing on AI's unregulated development and has become one of the most globally consulted experts on the topic.
🌟 Resources Mentioned 🌟
➡️ Mo’s Website: https://www.mogawdat.com/
➡️ Mo’s Linkedin: https://www.linkedin.com/in/mogawdat/
➡️ Mo’s Twitter: https://twitter.com/mgawdat
➡️ Mo’s Instagram: https://www.instagram.com/mo_gawdat/
➡️ Mo’s Facebook: https://www.facebook.com/Mo.Gawdat.Official/
➡️ Mo’s YouTube: https://www.youtube.com/@MoGawdatOfficial
➡️ Mo’s Podcast: Slow Mo
➡️ Mo’s book on the future of artificial intelligence, Scary Smart: https://www.amazon.com/Scary-Smart-Future-Artificial-Intelligence/dp/1529077184/
🌟🌟🌟🌟🌟🌟
🌟Watch more episodes like this:🌟
⏭️ https://youtu.be/YFS-PpajLT4?si=f_8YINX9_jrhdXqR
⏭️ https://youtu.be/7tgFNj-MUNE?si=ebuwaIHUZg0wH-cE
⏭️ https://youtu.be/5K3iSxJGQMI?si=ogCUkTRw6Z76KX3R
You’re watching Young and Profiting Podcast on Youtube, a place where you can Listen, Learn, and Profit. Welcome to the show. I’m your host, Hala Taha.
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#podcast #AI #mogawdat
ChatGPT-4 Prompt Engineering: The Tree of Thoughts Process
𝐅𝐢𝐧𝐝 𝐭𝐡𝐞 𝐏𝐫𝐨𝐦𝐩𝐭 𝐓𝐞𝐦𝐩𝐥𝐚𝐭𝐞 𝐇𝐞𝐫𝐞:
https://www.allabtai.com/the-tree-of-thoughts-prompt-template/
Paper:
https://arxiv.org/abs/2203.02155
Get a FREE 45+ ChatGPT Prompts PDF here:
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Explore how AI can mimic human-like problem-solving with the revolutionary Tree of Thoughts (ToT) approach. Traditional AI methods fall short - ToT is the future, considering multiple reasoning paths like exploring a forest, not just one trail.
Witness how Prompt Engineering with ToT tackles complex problems more efficiently than ever before.
00:00 ChatGPT-4 Prompt Engineering: ToT Intro
00:25 What is the Tree of Thoughts Prompt Approach?
01:36 The Brainstorming Phase
03:59 The Evaluation Phase
06:19 The Expansion Phase
07:59 The Decision Phase
Based upon this original paper: Where is the mind within the brain? Transient selection of subnetworks by metabotropic receptors and G protein-gated ion channels https://arxiv.org/ftp/arxiv/papers/2207/2207.11249.pdf Abstract This paper seeks to draw parallels between the physiological transient subnetwork selection mechanisms in the brain via G Protein-Gated Ion Channels (GPGICs) and Metabotropic Receptors (MRs), and the computational mechanism inherent in Microsoft's Semantic Kernel in collaboration with its Planner for semantic skill selection. We propose that the Synthetic Mind's utilization of continuous semantic search across ever-evolving skill libraries offers a potentially more deterministic and optimal solution, rivaling the complexities and efficiencies found in...