I'm thrilled to announce that DailyMail.ai, your source for all things artificial intelligence, is back! After a brief hiatus, we are excited to resume our daily newsletters, bringing you the latest and greatest in AI advancements, insights, and news.

In a rapidly evolving field such as AI, it is essential to stay informed and up-to-date. Whether you are a seasoned AI expert or simply curious about the technology, DailyMail.ai has something for everyone.

Each day, we will deliver a carefully curated selection of articles, research papers, and industry updates that will keep you in the know- so let's jump right into it.

Illusion Diffusion

Someone on Hacker News yesterday posted a link to a github repository that showed a Stable Diffusion model capable of creating optical illusions. There is not much information but the initial results look pretty impressive.

AI’s dirty little secret

Google launched its response to ChatGPT, a conversational AI interface built on the GPT-3 model, on February 9th. Google's chatbot, Bard, failed to answer a question about the James Webb Telescope correctly, which led to a drop in Google's share price by $120 billion in eight hours.

The issue lies in the core component of AI, machine learning, which cannot easily explain or verify its conclusions and can sometimes give false answers. This lack of veracity and proof-of-veracity is a major weakness for AI, and researchers are working to find a balance between machines and human until new algorithms arrive.

There will likely be more instances of AI failure until the technology is improved, but eventually, it will be fixed and the new era of AI will truly begin.

How ChatGPT Works: A Deep Dive into OpenAI’s Language Model

ChatGPT is based on the transformer architecture, which consists of an encoder and a decoder, and uses auto-regression to generate responses.

The key to ChatGPT's success is it's pretraining on a massive amount of text data, which allows it to learn a rich representation of language. Fine-tuning is then used to make the model specific to a task.

Understanding the architecture, pretraining, fine-tuning, and response generation process of ChatGPT helps to appreciate its capabilities and limitations.

That's all for today. I'm glad to be back sending out this newsletter and hope you all have a wonderful rest of your day.Peace.