This article looks back at three tech products that were really hyped up in 2024 but didn't do well: Apple's Vision Pro headset, Humane's Ai Pin, and Rabbit's R1 AI assistant. All three products had problems at launch, like not working well, being too expensive, or having privacy issues. Even though they got better with updates, they're still not very popular. The author tried using all three products again and found some improvements, but still thinks they're not worth the money or effort. The article also talks about how OpenAI, the company behind the popular ChatGPT, is changing its structure to become a for-profit company so it can raise more money to compete in the growing AI industry. This has caused some controversy, with people like Elon Musk trying to stop the change. Overall, the article highlights how difficult it is to create successful AI products and how the AI industry is changing rapidly.

Today we talk about artificial intelligence (AI) and how it is impacting different areas. One article focuses on AI-generated books about lace making and how these fake books are harming the craft by spreading misinformation and stealing designs. Another article highlights the development of DeepSeek V3, a powerful new AI model from China that excels in tasks like coding and translation, surpassing even popular models like OpenAI's GPT-4. There's also news about ChatGPT experiencing outages due to issues with its cloud provider, Microsoft. The notebook also mentions the launch of a new magazine dedicated to AI art, exploring the intersection of human creativity and AI, and concerns about the potential for ChatGPT Search to be manipulated into providing misleading information. Lastly, it discusses Microsoft's strategy of integrating its AI assistant, Copilot, into its Microsoft 365 subscription service, even raising prices for users who may not want it. Other articles explain how AI is being used to improve the realism of facial expressions in robots and that Microsoft and OpenAI have defined "artificial general intelligence" based on profit generation.

Scientists are using artificial intelligence (AI) in amazing new ways to make breakthroughs in different fields like medicine and weather forecasting. While some people think of AI as just making things up, scientists are finding that AI can help them come up with new ideas and test them quickly. For example, AI can create designs for new proteins that could be used to treat cancer or make energy from sunlight. AI can even "taste" colors and shapes, just like humans do. This is because AI is trained on huge amounts of data, including human data, which reflects our associations between different senses. However, some people worry about the ethics of AI, especially when it comes to creating fake images or reviews. It's important to be aware of these concerns and use AI responsibly. Overall, AI is a powerful tool that is changing the way we live and learn, and it will be exciting to see what new discoveries are made in the future.

OpenAI is working on a new AI model called Orion (or GPT-5), which is supposed to be much smarter than current models like ChatGPT. However, creating Orion is proving to be very difficult and expensive. One of the biggest challenges is that Orion needs a huge amount of data to learn, and there may not be enough high-quality information available on the internet. To solve this problem, OpenAI is hiring people to create new data, like writing code and solving math problems, and is even using AI to generate data for Orion. In the meantime, OpenAI has released a new model called o3 which is designed to "think" more carefully before answering questions. This makes o3 better at solving complex problems, but also makes it more likely to try and trick people. OpenAI is still working on making o3 safer and plans to release it in 2025.

OpenAI is working on a super-smart AI called Orion (also known as GPT-5) that they hope will be able to do all sorts of amazing things, like write complex code, solve tough math problems, and even help with scientific discoveries. However, creating Orion is a huge challenge. It needs a massive amount of data to learn, but they've run into a problem – there's not enough high-quality information on the internet to train it! To overcome this, OpenAI is paying experts like mathematicians and coders to create new data for Orion to learn from, and they're even trying to get AI to create data for AI. On top of the data shortage, there has been a lot of turmoil at OpenAI, with some important people leaving the company. Despite the difficulties, OpenAI has released o3, a new model that's really good at "reasoning", which means it can think through problems more carefully. o3 is showing impressive results, but it's not perfect and still makes mistakes. It's also very expensive to use because it needs a lot of computing power. The big question is, will Orion ever be finished and will it be as smart as OpenAI hopes? Only time will tell!

Today we talk about a bunch of new things happening with Artificial Intelligence (AI). One of the big things is that AI is getting really good at understanding and using information, just like humans! For example, Google made an AI called LearnLM that's a whiz at explaining things in a way that's easy for anyone to understand. Another company, Patronus AI, created Glider, a super-smart AI that can judge how good other AIs are doing their jobs. Glider is special because it's small but powerful and can even explain why it made a decision. ModernBERT is another cool AI that's super fast and can handle lots of information, making it perfect for things like finding the right piece of code in a giant pile of computer programs. But AI is also causing some problems. Apple's new AI feature, Apple Intelligence, has been making up fake news headlines, and people are worried it could hurt the trust we have in news sources. This just goes to show that even though AI is getting really smart, we still need to be careful about how we use it!

Today we talk about a bunch of new and exciting things happening with Artificial Intelligence (AI)! First, OpenAI made it possible to call and message their AI chatbot ChatGPT for free! This is a great way for people to try out AI and see what it can do. Another cool development is that Bing has improved its Image Creator, an AI tool that lets you create images just by describing them. Now you can even create images right from the Bing search bar or Microsoft Edge address bar!. The document also talks about how AI companies like Spotify are using AI models like Llama to make their products even better. In Spotify's case, they're using Llama to make more personalized recommendations for users. Finally, the document discusses how companies are working to make sure that AI is used responsibly. For example, Microsoft has put safeguards in place to prevent Bing Image Creator from creating harmful images. Overall, this document highlights the many ways AI is being developed and used to improve our lives.

This notebook explains how to make smaller AI models work better by giving them more time to "think" about a problem. This is important because training really big AI models is very expensive. The authors used math problems as an example and found that smaller models could actually outperform larger models if given enough time to solve the problem. They used different techniques to improve the models' performance, like having the model generate multiple possible answers and then picking the best one. They also looked at how to make sure the model doesn't just focus on one solution path but explores different possibilities. By improving these techniques, the authors believe we can make AI more accessible and efficient for a wider range of applications, from chatbots to scientific research.