Everyone has been complaining about "2 many newsletters," so teamed up with a friend to see if we could use ML + LLM + NLP & Apple Silicon's excessive power to come up with a solution. It is a work in progress, but the first steps have been taken!

Everyone has been complaining about "2 many newsletters," so teamed up with a friend to see if we could use ML + LLM + NLP & Apple Silicon's excessive power to come up with a solution. It is a work in progress, but the first steps have been taken! https://om.co/2023/08/27/how-do-we-fix-the-too-many-newsletters-problem/

Investor, Writer & Photographer. Partner emeritus @ True Ventures. Past life: Started GigaOm. I have written about tech for 3+ decades. Visit: Om.co

Productising RWAfi @plumenetwork. Building https://transferagentprotocol.xyz on it. Hosting /rwa and /plume and /nest

This is a good idea. I think I’d take it for a spin if and when you unveil it to the public.

Exploring crypto and writing my thoughts and musings along the way

We see starting small and then will let open source community take it over :)

Wow this would be awesome. A well-trained personal AI for content summaries would be useful. I can see how this idea could be expanded from newsletters to personalized curation of news/social media feeds. Excited to follow this project :)

No I am suggesting the I create a personal summarizer based on what I read on an ongoing basis. That way “bundled” by choice,  but without overthinking :)

Whenever I add new newsletters they become part of the corpus and obviously the new stuff will be surfaced initially but if I don’t read it it falls back in the summaries. Of course, I can get a list every month showing the newsletters I have not read at all and might want to revisit or unsubscribe.

Are we not at the ‘too unbundled’ stage of newsletters? 

If I understand correctly, you are proposing AI becomes an editor to bundle, but I’m curious how you introduce new writers and help surface untapped talent?