Upgrading 5400 Years Old Tech: Tools for Better Reading and Google's PaLM Sets the Bar for AI Language Models

Upgrading 5400 Years Old Tech: Tools for Better Reading and Google's PaLM Sets the Bar for AI Language Models

Reading has been around for over 5400 years, and it has remained one of the most efficient ways to absorb information. With the average person reading at a speed of 250 words per minute, it's clear that reading technology has stood the test of time. However, in recent years, there have been advancements and tools that aim to enhance the reading experience and make it even more effective.

One such tool is the concept of social reading. With the rise of digital platforms and online communities, social reading has become a popular trend. Social reading platforms, like Glasp curators, act as filters for readers, recommending books, articles, and other reading materials based on their interests and preferences. This not only helps readers discover new content but also fosters a sense of community and connection among readers.

In addition to social reading, advancements in artificial intelligence (AI) have also had a significant impact on the reading experience. Google's PaLM (Pattern-Exploiting Training with Large Models) is an AI language model that sets the bar for other models in terms of the number of parameters. PaLM 540B is in the same league as some of the largest language models available, including OpenAI's GPT-3 and DeepMind's Gopher and Chinchilla. The training process of PaLM is efficient, using a standard Transformer model architecture with customizations. The dataset used to train PaLM includes a mixture of filtered multilingual web pages, books, Wikipedia articles, news articles, GitHub source code, and social media conversations.

The performance of PaLM is impressive, surpassing the few-shot performance of prior language models on various tasks. It outperforms GPT-3 and achieves scores that approach the average problem-solving abilities of 9- to 12-year-olds. This demonstrates the potential of AI language models to enhance reading comprehension and problem-solving skills.

So, how can we make the most of these advancements in reading technology? Here are three actionable pieces of advice:

1. Embrace social reading platforms: Join communities like Glasp curators and engage with like-minded readers. Explore their recommendations and broaden your reading horizons.

2. Stay updated on AI language models: Keep an eye on the latest advancements in AI language models like PaLM. Understand how they can enhance your reading experience and leverage their capabilities to improve your comprehension and problem-solving skills.

3. Be mindful of information sources: With the abundance of online content, it's crucial to be critical of the sources you read. Take advantage of tools like social reading platforms and AI language models to filter and verify the credibility of the information you consume.

In conclusion, reading technology may be thousands of years old, but it continues to evolve and improve. Social reading platforms and AI language models like PaLM are revolutionizing the reading experience, making it more personalized, efficient, and insightful. By embracing these tools and staying informed, we can upgrade our reading skills and make the most out of our reading time in this digital age.