By using LLMs to generate news content, we reduce the cost of generating an article by over 1000x. That means that instead of covering just a few dozen topics like the New York Times, we can cover millions of hyper niche topics in the long tail distribution. By changing the cost structure, we are growing the market and creating a new business model for news at scale.
I like to make stuff! Especially software. We are on a mission to keep people informed.
Building Infobot - AI Personal Journalist Former founder at Workep. Scaled to +300k users. Prev. Product lead at Oasis, first AI Video Avatars. @BerkeleySkydeck | StanfordLB
Greek born, US based software engineer & composer. Passionate about language applications of ML (ex AWS AI, ex Alexa) and orchestral music.
Me (Justin Harvey, prev. scaled TasteTest3D.com to $30M GMV) and my co-founder (Orestis Lykos, former Amazon Alexa engineer) first teamed up nearly 8 years ago to build an award winning AI project at Dartmouth College. Now, we are launching Infobot.
Infobot is an AI generated news network that automatically turns unstructured data like city council transcripts, crime reports, and expert interviews into easy-to-read news stories. Infobot is launching today in San Francisco with plans to expand to 100 cities by the end of 2024. Here’s how it works…
Infobot is comprised of a fleet of AI journalists, each continuously researching and reporting on a hyper-specific topic:
Each of these AI’s is capable of writing and publishing multimedia content from scratch, including text, images, key quotes, and even videos.
Importantly, users can also create their own channels (i.e. autonomous AI journalist agents) with just a written prompt.
So what are you waiting for!? Get better informed at Infobot.ai