Metaphor was launched in 2022 by a team of researchers and engineers who wanted to create a more human-friendly way to search the web. They trained their AI model on millions of examples of text and links from various sources, such as Reddit, Wikipedia, blogs, news articles, and more. The model learned to predict the most likely link that would follow a given text prompt, based on the context and meaning of the words.
Metaphor's interface is simple and intuitive. Users can type any prompt they can think of in the search box, and Metaphor will return a list of relevant links. The prompts can be questions, statements, opinions, comparisons, or anything else that makes sense in natural language. For example, instead of typing "best math blogs", one could type "Besides Terry Tao's blog, this is my favorite math blog:" and get better results.
Metaphor also provides a guide on how to write effective prompts for different types of searches. The guide explains some tips and tricks on how to use natural language to get the best results from Metaphor. For example, it suggests avoiding keyword searches and rephrasing questions to look more like answers.
Metaphor is more than just a search engine. It is a new way to explore the internet and discover new information. By using natural language, Metaphor allows users to express their curiosity and creativity in searching for what they want. Metaphor is also constantly improving its AI model and adding new features to make searching easier and more fun.
- It is a search engine that **understands language** more expressively and creatively than traditional search engines.
- It can find **relevant and high-quality links** for complex queries that resemble how people talk about links on the internet.
- It can **rediscover the internet** by finding new ways to search and access the vast repository of human knowledge.
- It is still in **beta stage** and may not work well for some types of queries or domains.
- It requires users to **learn how to write good prompts** that match the model's training data and expectations.
- It may not be able to handle **ambiguous or vague prompts** that have multiple possible interpretations or outcomes.
Alternative AI Tools
If you are looking for high-quality stock images for your projects, you might want to check out Everypixel.com. Everypixel is a powerful search engine that allows you to find photos from more than 50 sources in one place. You can also search for free images from 22 sources that offer photos under the Creative Commons 0 license, which means you can use them for commercial purposes without attribution.
Generated Photos is a website that offers unique and worry-free model photos that are created completely by artificial intelligence. You can explore and download thousands of diverse and copyright-free headshot images from their production-ready database. You can also use their app or API to generate new faces based on your preferences and needs.
If you are looking for a new way to search the web, you might want to try Komo AI. Komo AI is a search engine powered by generative AI, which means it can create content based on your queries and interests. Komo AI is also private, fast, and has no ads, unlike some other search engines.
One More AI
If you are looking for stock images that are unique, creative and generated by artificial intelligence, you might want to check out One More AI. One More AI is a website and an app that offers thousands of pictures created by different AI models and sources. You can download and use these images for free, for personal and commercial purposes.
CrowdView is a free tool that helps you find useful information on any topic you are interested in. It is an AI-powered search engine that searches through various forums and communities such as Reddit, HackerNews, and more. You can use CrowdView to learn from the experiences and opinions of other people who share your interests.
In this blog post, I will introduce you to a platform that can help you build powerful multimodal search into your app: https://app.kailualabs.com/. Multimodal search is the ability to search across different types of media, such as text, images, video, audio, and more, using natural language or any combination of data. For example, you can search for "dog with sunglasses" and get relevant images of dogs wearing sunglasses, or you can search for "how to make a cake" and get relevant videos of cake recipes.