A few years ago, turning an idea, a passion of yours, into a website was a complex thing to do. You needed backend code, frontend code, databases, authentication, deployment. But today, things are different. Today, we have Replit, where your creativity can run without limits. --- Get $10 worth of FREE credits: https://replit.com/refer/garysimsaa?trackingContext=universal-settings-modal #garyexplains

Learn more about Stanford's online Healthcare AI programs: https://stanford.io/3NEt7uE Check out the AI in Healthcare series playlist:https://stanford.io/3NEt7uE Matt Lungren, Stanford University - https://profiles.stanford.edu/matthew-lungren Justin Norden, Stanford University - https://profiles.stanford.edu/justin-norden Guest speaker: DJ Patil, former US Chief Data Scientist and Health Tech Entrepreneur This episode of the Stanford Healthcare AI podcast explores how AI is transforming healthcare security, policy, and patient empowerment. The guest, DJ Patil, former U.S. Chief Data Scientist and health tech entrepreneur, warns that hospitals are “sitting targets” for cyberattacks from nation-states using even “dumb” AI models. They discuss gaps in U.S. cybersecurity ownership, the need to treat healthcare as critical infrastructure, and the risks of ransomware-style “terrorism.” Balancing this, they highlight the explosive growth of tools like Open Evidence and GPT for clinicians, rising patient engagement, and the moral question of whether powerful AI should be gated or widely accessible.

For more information about Stanford's online Artificial Intelligence programs, visit: https://stanford.io/ai Follow along with the course schedule and syllabus, visit: https://cs153.stanford.edu/ In a CS153 Frontier Systems lecture, OpenAI CEO Sam Altman returned to Stanford — where he taught the iconic CS183 How to Start a Startup in 2014 — to reflect on how radically the startup playbook has changed in the AI era, noting that a founder can now accomplish with tokens what once required a hundred-person engineering team. Drawing on his core empirical conviction that scale reliably produces emergent properties beyond what consensus expects, Altman walked through the origin stories of both ChatGPT (a research demo that went unexpectedly viral, triggering a five-day "good emergency" that forced OpenAI to build a company and product simultaneously) and Codex (the coding bet that predated ChatGPT and finally hit its inflection point with 5.5), arguing that the current pre-training/post-training/RL pipeline will likely require a fundamental rewrite — one he expects AI itself to design. He framed intelligence as a nascent utility analogous to electricity, wrestling with how to make that concept legible to the world the way early power companies sold "light at night" rather than electricity itself, and warned that the most important unresolved fork ahead is whether this technology gets democratized broadly or concentrates in a handful of companies — a risk he put at roughly 20% probability, and one he argued is more dangerous than most safety concerns. He closed by flagging compute shortage as an underappreciated live crisis, suggesting that as long as AI keeps improving, demand will structurally outpace supply, and urging students to consider working on inference infrastructure as one of the most underleveraged bets in the field. Sam Altman is the co-founder and CEO of OpenAI, the AI research and deployment company behind ChatGPT. He helped launch OpenAI in 2015 with the goal of ensuring artificial general intelligence benefits all of humanity. Before OpenAI, Sam served as president of Y Combinator.

For more information about Stanford’s graduate programs, visit: https://online.stanford.edu/graduate-education This seminar covers infrastructure and building AI factories at gigawatt scale. Follow along with the course schedule: https://mse435.stanford.edu/ Guest Speaker: Chase Lochmiller, Crusoe Instructor: Apoorv Agrawal is a Stanford Adjunct Lecturer in Management Science and Engineering and a partner at Altimeter Capital.

For more information about Stanford’s graduate programs, visit: https://online.stanford.edu/graduate-education This seminar covers applications, applied AI, and agent monetization. Follow along with the course schedule: https://mse435.stanford.edu/ Guest Speaker: Tuhin Srivastava, Founder / CEO, Baseten Instructor: Apoorv Agrawal is a Stanford Adjunct Lecturer in Management Science and Engineering and a partner at Altimeter Capital.

With the UK planning to follow Australia in a ban on social media for under 16s, we ask how it might work? Dr Mike Pound is an Associate Professor at the University of Nottingham. Computerphile is supported by Jane Street. Learn more about them (and exciting career opportunities) at: https://jane-st.co/computerphile This video was filmed and edited by Sean Riley. Computerphile is a sister project to Brady Haran's Numberphile. More at https://www.bradyharanblog.com

Microsoft has released the CoreUtils for Windows. The same commands you use on Linux or macOS, now work the same way on Windows! --- Thanks to Readdy AI for sponsoring this video: Link: https://bit.ly/Readdy4_Garyexplains Code: Gary #garyexplains

The more data you give an AI model the better it can answer. In this video I show you how to grab the latest financial data about a company and then ask an LLM to analyze it for you. An easy way to grab the data is using Decodo Web Scraping API which does all the heavy lifting for you and can handle Javascript intensive pages, cookies, etc. -- Thanks to Decodo for sponsoring this video: Decodo: https://visit.decodo.com/yZ916B Decodo 10% discount code: GARYEXPLAINS #garyexplains

Fuzzing is a technique to find programming bugs by testing with random inputs - but there are smarter ways to go about it! Professor Alastair F Donaldson leads the Multicore Programming research group at Imperial College. Computerphile is supported by Jane Street. Learn more about them (and exciting career opportunities) at: https://jane-st.co/computerphile This video was filmed and edited by Sean Riley. Computerphile is a sister project to Brady Haran's Numberphile. More at https://www.bradyharanblog.com