ChatGPT4 Educator Resources

Collection of AI resources

Hi there! Welcome to my website, where I hope to share some of the AI resources that I have found useful in my teaching and learning journey. As a faculty member at 'Iolani School, I am always looking for ways to inspire my students and help them develop the skills they need to thrive in the world of AI. AI is such a fascinating and dynamic field, and there is so much to learn and discover. On this website, you will find a variety of AI resources, such as books, tutorials, tools, and more, that cover different aspects and levels of AI. Whether you are a teacher who wants to integrate AI into your classroom, a student who wants to pursue AI as a hobby or a career, or just someone who wants to learn more about this amazing field, I hope you will find something here that sparks your interest and curiosity. This website is not meant to be an authoritative source of information on AI, but rather a personal collection of resources that I have found helpful and enjoyable. I am always open to feedback and suggestions, so please feel free to contact me if you have any questions or comments. Thank you for visiting and happy learning!

Collection of AI resources

Reddit never ceases to deliver. Here's a comprehensive list of AI startups and tools I found on a Reddit thread by lostlifon. They've compiled an incredible list of new and innovative AI projects that are pushing the boundaries of what we can achieve with AI. So, buckle up and let's dive in!

... and many more!

You can find the full list and details in the original text above. A huge shoutout to lostlifon for putting this list together and sharing it with the community. It's amazing to see how AI is transforming the world and the possibilities it brings to various industries. He has a blog you can subscribe to on his website here

ChatGPT videos And chatGPT summaries

How Well Can GPT-4 See?  

What exactly can GPT-4 see? And does OpenAI have a plan for physical embodiment?  

The video discusses the capabilities of GPT-4 in recognizing and interpreting various forms of data such as medical images, humor, menus, and physical objects. Furthermore, the ability to translate natural language into code and create 3D models is demonstrated, and Adobe has shown how text can be used to edit 3D images. The advancements in voice recognition technology, including the new Conformer API, are highlighted, as well as the potential for the development of humanoid robots. The merging of advancements in text, audio, 3D, and embodiment may lead to revolutionary developments in the future.

'Sparks of AGI' - Bombshell GPT-4 

I read all 154 pages in one sitting. The paper suggests GPT 4 has ‘sparks of Artificial General Intelligence’. 

The recently released 154-page report about GPT-4 outlines some of its significant capabilities, including its ability to use tools with minimal instructions, output detailed images based on text prompts, and pass mock technical interviews on Leetcode. GPT-4 can also serve as a personal assistant, build a mental map of the environment and understand what others may be thinking. However, it still lacks the ability to plan ahead and perform tasks that require knowing the end result. There are significant concerns about the potential dangers of GPT-4 if it were given access to external memory or other language models, leading to propaganda, misinformation campaigns and loss of jobs for content creators. The authors admit to not fully understanding GPT-4's capabilities, underscoring the urgency to figure out how AI systems like it work.

Sam Altman: OpenAI CEO on GPT-4, ChatGPT

Sam Altman is the CEO of OpenAI, the company behind GPT-4, ChatGPT, DALL-E, Codex

During the Lex Fridman Podcast, Sam Altman, the CEO of OpenAI, discussed the organization's experiences in the early days, and how they were ridiculed for their aim to work on AGI. Altman spoke about the potential and dangers of AI in the current time of human civilization, and the significance of GPT systems on the evolution of AI. He mentioned that GPT-4 has demonstrated wisdom and reasoning capabilities, but more personalized and granular control is needed to tackle biases. Altman also discussed the impact of AI on programming, safety concerns, and the future trajectory of the technology. He emphasized the importance of iterative learning, technical alignment work, and shared responsibility in defining the boundaries of AI.

In this episode of the Lex Fridman Podcast, Sam Altman, the CEO of OpenAI, discusses the potential dangers of AGI takeoff and the importance of prioritizing safety when developing AI. He discusses the possibility of GPT-4 being an AGI and the concept of consciousness in AI. Altman shares his thoughts on the bias in GPT and the importance of more steerability and control in the hands of the user. He also touches on the impact of AI on jobs and the potential for tension and competition within a super intelligent AGI. Lastly, Altman emphasizes the responsibility of OpenAI to think about ethical considerations when designing and implementing their AI tools, stressing the need to prioritize minimizing harm and maximizing good.

See more02:00:00 - 02:20:00

Sam Altman, CEO of OpenAI, discusses various topics in the Lex Fridman podcast, including the hiring process at OpenAI, the dangers of incentive misalignment revealed by the Silicon Valley Bank fiasco, anthropomorphizing AI systems, the impact of advanced AI on human society, and the culmination of human effort that led to the creation of AI technology. Altman highlights the importance of educating people about the fact that AI systems are tools, not creatures, and being cautious when following advice, as everyone's life trajectories are different. He also emphasizes the need for humans to work together to ensure AI alignment and safety, and quotes Alan Turing's prediction that machines will eventually outstrip human powers.

GPT 4: Full Breakdown

I just read the entire technical report on GPT 4, not just the promotional hype. And boy does it have some interesting details. I have gathered the 14 extra details that you, or at least the media, may miss from the release. The last one is more than a little wild.

These include things like the training secrets, the cherry-picked bar exam stat, text-to-image breakthroughs, and some truly astounding safety checks.

This video discusses various features of GPT-4 that were detailed in its technical report, including its use in powering Bing, longer context length, and strong performance in the hindsight neglect task. However, the video also raises some concerns about GPT-4's potential for emergent behavior and power-seeking, as noted in the report's footnote that the model was able to execute code and simulate acting like an agent in the world. Additionally, while GPT-4 is reportedly proficient at generating text that favors autocratic regimes, it may generate undesirable content when given unsafe inputs. Companies such as Morgan Stanley, Khan Academy, and the government of Iceland are already using GPT-4, despite concerns about its safety implications.

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Here is the most updated research by Microsoft Research team on chatGPT4.

This research was conducted by S´ebastien Bubeck, Varun Chandrasekaran, Ronen Eldan, Johannes Gehrke, Eric Horvitz, Ece Kamar, Peter Lee, Yin Tat Lee, Yuanzhi Li, Scott Lundber, Harsha Nori, Hamid Palangi, Marco Tulio, Ribeiro Yi Zhang


Artificial intelligence (AI) researchers have been developing and refining large language models (LLMs) that exhibit remarkable capabilities across a variety of domains and tasks, challenging our understanding of learning and cognition. The latest model developed by OpenAI, GPT-4 [Ope23], was trained using an unprecedented scale of compute and data. In this paper, we report on our investigation of an early version of GPT-4, when it was still in active development by OpenAI. We contend that (this early version of) GPT4 is part of a new cohort of LLMs (along with ChatGPT and Google’s PaLM for example) that exhibit more general intelligence than previous AI models. We discuss the rising capabilities and implications of these models. We demonstrate that, beyond its mastery of language, GPT-4 can solve novel and difficult tasks that span mathematics, coding, vision, medicine, law, psychology and more, without needing any special prompting. Moreover, in all of these tasks, GPT-4’s performance is strikingly close to human-level performance, and often vastly surpasses prior models such as ChatGPT. Given the breadth and depth of GPT-4’s capabilities, we believe that it could reasonably be viewed as an early (yet still incomplete) version of an artificial general intelligence (AGI) system. In our exploration of GPT-4, we put special emphasis on discovering its limitations, and we discuss the challenges ahead for advancing towards deeper and more comprehensive versions of AGI, including the possible need for pursuing a new paradigm that moves beyond next-word prediction. We conclude with reflections on societal influences of the recent technological leap and future research directions.