Beyond Words: What’s Next with NLP

@Amogh Rijal LOL, exactly! It's truly fascinating what the company has developed.

we can now see why sam altman had such strong belief

@Ataraxia see the aforementioned. I used the reply feature terribly.

For something like electricity to be falsifiable seems inconsistent. It exists, but our theories concerning electricity are falsifiable.
Since we don’t have AGI currently (I’m an AI researcher btw), I think @Ataraxia statement about what might make Sam less likely to believe AGI will come is an exceptional statement.
@Conor Sullivan the electricity statement was a little off mark, but in close proximity to the essence of the initial statement.

@Conor Sullivana lot of different things, maybe if someone could show how the effects of electricity are actually better explained by something else or something show the effects of electricity to be illusory or somemthing

@Carl Kim pretty impressive considering the transcript isn’t perfect! Can’t wait for GPT 4

@Brad Colin Young at first I read this thinking, great this is better than ChatGPT. Then I realized that's what you did lol. Thanks!

quick summary - Sam Altman and Kevin Scott, the CEO and CTO of OpenAI and Microsoft respectively, predict that natural language processing (NLP) will continue to improve in 2022 and will have a wide range of commercial applications. They believe that NLP models will become more effective at understanding human instructions and preferences, and that they will be used as platforms that can be trained and used across a variety of applications. They also discuss the importance of multi-modal learning, domain-specific models, and the potential for AI to assist with tasks such as discovery and creation. They stress the importance of ensuring that these advanced AI models are available to the public and are used ethically and responsibly.
Sam Altman and Kevin Scott, CEO and CTO respectively of OpenAI and Microsoft, discuss their expectations for natural language processing (NLP) in 2022. They believe that NLP will become more robust and able to better understand human instructions and preferences, leading to a broad range of commercial applications. They also mention that models such as GPT-3 are becoming more like platforms that can be trained and used across a wide range of applications, and mention the success of tools such as GitHub Co-Pilot.
Sam Altman and Kevin Scott believe that the success of tools like GitHub Co-Pilot and Codex, which allow for natural language dialogue with computers to accomplish tasks, is a sign of the future of how people will interact with technology. They believe that these models will continue to mature and become more effective at understanding human instructions and preferences, leading to a wide range of commercial applications. They also mention that the trend of using these models as platforms that can be trained and used across many different domains and use cases is exciting and will continue to grow in the future.
Sam Altman and Kevin Scott discuss the importance of multi-modal learning in artificial intelligence, and the potential for models to be applied to various mathematical domains, such as simulations and optimization. They also mention the potential for domain-specific models in certain fields, such as medicine and law, but believe that building powerful base models with some degree of specialization will also be important in the short and medium term. They also discuss the potential for AI to help with tasks such as discovery and creation, and the importance of designing AI systems to be transparent and explainable.
Sam Altman and Kevin Scott discuss the importance of making advanced AI models available to the public in order to avoid concentration of power in the hands of a few companies. They also mention the need to ensure that these models are not misused and discuss their efforts to carefully consider access to models such as GPT-3. They also discuss the potential for platform models to allow more organizations to use machine learning, rather than building multiple in-house teams to work on different projects.
Sam Altman and Kevin Scott, the CEO and CTO of OpenAI and Microsoft respectively, predict that natural language processing (NLP) will continue to improve in 2022 and will have a wide range of commercial applications. They believe that NLP models will become more effective at understanding human instructions and preferences, and that they will be used as platforms that can be trained and used across a variety of applications. They also discuss the importance of multi-modal learning, domain-specific models, and the potential for AI to assist with tasks such as discovery and creation. They stress the importance of ensuring that these advanced AI models are available to the public and are used ethically and responsibly.

download it to text and do it