Sam Altman is the CEO of OpenAI, the company behind GPT-4, ChatGPT, DALL-E, Codex, and many other state-of-the-art AI technologies. Please support this podcast by checking out our sponsors: - NetSuite: http://netsuite.com/lex to get free product tour - SimpliSafe: https://simplisafe.com/lex - ExpressVPN: https://expressvpn.com/lexpod to get 3 months free EPISODE LINKS: Sam's Twitter: https://twitter.com/sama OpenAI's Twitter: https://twitter.com/OpenAI OpenAI's Website: https://openai.com GPT-4 Website: https://openai.com/research/gpt-4 PODCAST INFO: Podcast website: https://lexfridman.com/podcast Apple Podcasts: https://apple.co/2lwqZIr Spotify: https://spoti.fi/2nEwCF8 RSS: https://lexfridman.com/feed/podcast/ YouTube Full Episodes: https://youtube.com/lexfridman YouTube Clips: https://youtube.com/lexclips SUPPORT & CONNECT: - Check out the sponsors above, it's the best way to support this podcast - Support on Patreon: https://www.patreon.com/lexfridman - Twitter: https://twitter.com/lexfridman - Instagram: https://www.instagram.com/lexfridman - LinkedIn: https://www.linkedin.com/in/lexfridman - Facebook: https://www.facebook.com/lexfridman - Medium: https://medium.com/@lexfridman OUTLINE: Here's the timestamps for the episode. On some podcast players you should be able to click the timestamp to jump to that time. (00:00) - Introduction (08:41) - GPT-4 (20:06) - Political bias (27:07) - AI safety (47:47) - Neural network size (51:40) - AGI (1:13:09) - Fear (1:15:18) - Competition (1:17:38) - From non-profit to capped-profit (1:20:58) - Power (1:26:11) - Elon Musk (1:34:37) - Political pressure (1:52:51) - Truth and misinformation (2:05:13) - Microsoft (2:09:13) - SVB bank collapse (2:14:04) - Anthropomorphism (2:18:07) - Future applications (2:21:59) - Advice for young people (2:24:37) - Meaning of life
This podcast explores the numerous ways that AI has and will continue to impact our world, from oppressive dystopias to empowering technologies. It also delves into the complexities of human nature as we create and interact with AI systems.
Using the best tools for business management and security, such as NetSuite, SimpliSafe, and ExpressVPN, is crucial to ensure a successful and robust operation of the security system and to manage human resources, finances, e-commerce, inventory, and other business-related details effectively.
Language models contain vast amounts of knowledge derived from the internet with little data, and understanding how to make them usable, ethical, wise and aligned is essential for their development.
The processing power of machine learning models is being used more as a database than a reasoning engine. As we discover new things that don't fit the data, we have to come up with better explanations as understanding for a particular set of inputs improves.
OpenAI emphasizes the importance of developing AGI technology in collaboration with the public, to allow for timely feedback to shape its development. They believe that putting out new models encourages constructive criticism, and every time they do so, the collective intelligence of the outside world helps them discover things they couldn't have on their own.
The speaker discusses the importance of creating AI models that can be steered by users and are interpretable to improve their capabilities.
The development of AI technology requires navigating the tension between allowing users to have significant freedom in their prompts while avoiding harmful output. As AI systems become more sophisticated, their ability to understand and interpret human language raises concerns about who gets to decide the limits and draw ethical lines.
The ideal scenario for developing a global AI system would involve every person on Earth having a thoughtful, democratic conversation about where to draw the boundaries, and delegates creating overall rules based on those discussions, before different countries and institutions can begin to have variations on the rules for the system.
The focus has been shifting towards the parameter count in AI language models. However, it is important to remember that the complexity of these models extends beyond just parameter count and encompasses the entirety of human civilization's advancements and data on the internet.
The level of increase in quality of life that AI can deliver is extraordinary, however, great programmers will not be replaced completely by GPT-like models.
In this podcast transcript, the speaker reflects on the iterative process of improving technology and the adjustment of philosophy in AI safety. There is also a discussion on the different predictions surrounding the capabilities of AI, including the safety challenges and the easier parts, and how some of these have turned out to be inaccurate.
There is a chance that creating conscious AI could happen unknowingly if a model was trained on a dataset with no mentions of consciousness or related concepts. This is important to consider since currently, declaring AI as non-conscious is based on the premise that it is a computer program.
The speaker discusses their concerns about the development of artificial general intelligence (AGI) and the different ways it might go wrong.
OpenAI's nonprofit structure allows them to make non-standard decisions, cancel equity, merge with other organizations, and protect themselves from decisions not in the shareholders' interest. Despite criticism from an eminent AI scientist, OpenAI is competing with tech giants such as Google, Apple, and Meta in building AGI.
OpenAI's transparent approach to deploying AI is commendable, but more time is needed for the world to adapt and reflect on this technology, in order to develop effective regulations and norms. Concerns arise due to the limited number of people involved in AI development, prompting the need for open and honest evaluation.
The conversation revolves around AGI and related policy implications, emphasizing the importance of getting AGI safety right and how to create a better world with AGI. Both speakers voice their opinions about AGI and how Elon Musk could help the AI community as a whole.
The CEO of Open AI admits to feeling disconnected from the impact AI will have on everyday life, and expresses the need for an individual more charismatic and able to connect better with people to take on the CEO role. However, his strength lies in not being affected by pressure for the sake of pressure.
The speaker reflects on the joys of using VS Code, expressing a desire to improve the product through user feedback. Despite common complaints about jobs, the speaker emphasizes the importance and value of employment.
The ability to try new things without permission and a distributed process will always beat centralized planning, leading to incredible new jobs and wealth in society, despite potential flaws in the system.
The podcast discusses how simple but untrue explanations satisfy humans and excuse darker human truths. It also touches on the fact that while most of us use OpenAI's GPT messages for good, some people push the boundaries of the system.
GPT may struggle to provide clear answers on complex topics with insufficient physical evidence. Despite this, it can utilize interesting methods to navigate uncertainty, such as DAN or token smuggling.
OpenAI CEO, Sam Altman updates on the pipeline of AI products and updates set for release in the upcoming months, including Dolly 2, Whisper API, and Chad GPT.
In this episode, the downfall of Jamie Dimon, the CEO of JP Morgan Chase, is discussed, including how the company's mismanagement led to a major banking scandal and his eventual resignation.
The guest speaker warns against projecting creatureness onto AI tools as they are not creatures but rather programmed tools. The discussion also touches on the limitations of the current AI technology and the potential societal impacts of advanced AI such as romantically companionship AIs.
The speaker warns against taking too much advice and emphasizes the importance of individual intuition, highlighting the unpredictable nature of technological developments.
OpenAI is making fast progress in aligning Artificial Intelligence with safety due to the development of new tools to tackle their capital S safety problem, according to a podcast interview with Meredith Whittaker, co-founder and co-director of the AI Now Institute.