AI Potential: What is it?

Google's Gemini Model

The recent release of Google's Gemini model, which outperforms GPT4 on nearly every benchmark, makes it the best Large Language Model (LLM) to date.

Speaker

• The speaker discusses the potential of Gemini to understand multimodal input such as audio, video, and radar data, and its potential to answer any possible question.
• The speaker also discusses the potential of AI to discover completely new solutions, not just combinations of existing ones.
• The speaker concludes by noting the rapid pace of technological progress and the potential for even faster change in the future.

Video

• The video mentions the recent discovery of 2.2 million new crystals by DeepMind's AI tool, GHoME, which could power future technologies.
• The video mentions the speculation around OpenAI's Q* project, which some believe could be a breakthrough in the search for artificial general intelligence.

The Future of Connectivity Is in Your Eyes

As the power of compute increased, the size of our computers or our devices decreased. Some believe AR/VR glasses like these are the answer. But they merely move the screens we already have in our lives today. The future is not on your face.

The Future of Wearable Technology Is AI

Hu.ma.ne (https://hu.ma.ne/) is developing a wearable device that's built entirely from the ground up for artificial intelligence. It's completely standalone. You don't need a smartphone or any other device to pair with it. If we get this right, AI will unlock a world of possibility for all of us.

What It Means to Take AI With You Everywhere

In the future, technology will be both ambient and contextual. This means harnessing AI to really understand you and your surroundings in order to achieve the best results. When compute disappears, it allows us to get back to what really matters a new ability to be present.

Sentiment Analysis

51 positive sentences and 7 negative ones were identified

Common Sense in Advancing AI

AI today is like a goliath. Extreme scale AI models are so expensive to train, and only few tech companies can afford to do so. Can AI without robust common sense, be truly safe for humanity? We need to make AI. Smaller to democratize it. Safer by teaching human norms and values.

Common Sense in Extreme Scale AI

Common sense has been a long standing challenge in AI. The AI field for decades has considered common sense as a nearly impossible challenge. Giving true common sense, humanlike robust common sense to AI is a still moonshot.

Invent Your Weapons: Common Sense in AI

In the modern day AI context, that means innovate your data and algorithms. To make this powerful AI sustainable and humanistic, we need to teach AI common sense norms and values. Teams at UW and AI are working on common sense knowledge graphs and moral gnome repositories.

The quest for common sense in AI

There's a real learning happening due to the scale of the compute and data. But there's a quality of learning that's still not quite there. What I envision will need to build on the advancements of deep neural networks. Some synthesis of ideas will be critical here.

Sensitivity Analysis 

16 positive sentences and 34 negative ones were identified.

Chat GPT: The Future of AI

OpenAI started OpenAI seven years ago because we felt like something really interesting was happening in AI. Today I want to show you the current state of that technology and some of the underlying design principles. We as a world are going to define a technology that will be so important for our society going forward.

Teaching the AI to Read Your Mind

Chat GPT uses supervised learning and learning from human feedback. As we move to harder tasks, we will have to scale our ability to provide high quality feedback. But for this, the AI itself is happy to help us provide even better feedback.

An AI Exploring the Nature of Papers

Chat GPT is able to run code just like a data scientist would. You can ask the machine, can you make some exploratory graphs? And so it comes up with some good ideas.

A message from OpenAI's Science Story

Getting AI right is going to require participation from everyone. And that's for deciding how we want it to slot in. Together, I believe that we can achieve the OpenAI mission of ensuring that artificial general intelligence benefits all of humanity.

In the Elevator With Greg

Greg, I suspect that within every mind out here, apart from there's a feeling of reeling. Pretty much every single thing about the way I work, I need to rethink. It's amazing, but it's also really scary.

OpenAI's Rise to Google's AI

OpenAI has a few hundred employees. Google has thousands of employees working on artificial intelligence. Most important thing has been to get teams of people very different from each other to work together harmoniously.

Deep Learning's Syntactic Emergence

The key idea of emergence is that when you get more of a thing, suddenly different things emerge. As you grow the number of houses, things emerge like suburbs and cultural centers and traffic jams. Deep learning is learning things that you didn't know it was capable of learning.

Can We Predict the Future of Machine Learning?

One science that we're starting to really get good at is predicting some of these emerging capabilities. To do that, one of the things I think is very undersung in this field is engineering quality. As you scale up, things emerge that you can maybe predict in some level of confidence, but it's capable of surprising you.

OpenAI and the Need for Human Feedback

Gregory: The Open AI approach here has always been just like, let reality hit you in the face. He says the right way to do this is to put it out there in public and then harness all this. If bad things are going to emerge, it is out there, he says.

Sentiment Analysis

78 positive sentences and 49 negative ones were identified

Are We Ready for a Personal Tutor?

We're at the cusp of using AI for probably the biggest positive transformation that education has ever seen. The way we're going to do that is by giving every student on the planet an artificially intelligent, but amazing personal tutor.

Writing With an AI

AI doesn't write for you. It writes with you. Students write two sentences, and then the AI writes two sentences. And so they collaborate together on a story. This is surprisingly fun. I encourage you all to hopefully one day try this.

How Computation Is Advancing English Literacy

Socratically uses AI to not undermine English and language arts, but to enhance it in ways that we couldn't have even conceived of even a year ago. We think this is going to dramatically accelerate writing, not hurt it. But it could be equally as powerful for the teacher to drive more personalized education.

The Future of Tutoring With AI

We realized that we could dramatically improve its ability in math and in tutoring if we allowed the AI to think before it speaks. We think this is just the very tip of the iceberg of where this can actually go. All of us together have to fight like hell to make sure that we put the guardrails we put in.

Sentiment Analysis

46 positive sentences and 24 negative ones were identified.

Does AI Understand Us?

Do AI understand us, or are we having our own Clever Hans moment? Some philosophers think that computers will never understand language. The models we're training today are so much better than the models we had five years ago. How do we know if AI understands us?

Does Neural Network Understand Language Like the Brain?

Could it also be that AI. and the brain share something in common? We're able to predict the neural network scratch pad from the brain and vice versa. But the underlying correlations are still pretty weak. If we want to know if AI understands language like we do, we need to get inside of the Chinese room.

Sentiment Analysis

19 positive sentences, and 14 negative ones were identified.