I get bombarded by ads on social media. Would like to get recommendations from the community. Topics of interest is applied AI in areas of marketing, development, technology.
or rather my transformer-powered RSS reader looks at it. This is very technical and quite raw and my own interest is not so much the cutting edge stuff but rather the people who are working on run-of-the-mill problems like my RSS reader.
Custom made, it is called YOShInOn. I will be blogging about it soon.
It's very solid for a demo, it's not inconceivable that it could be open sourced but it has some social media posting features that might be a little dangerous (e.g. it could really spam Hacker News, in fact the autoposter really pissed off somebody on the night shift when it was not coupled to YOShInOn and what it was posting wasn't so good)
It's also conceivable that it gets firmed up into a product for people who do "search" for a living such as salespeople, recruiters, patent search professionals, etc.
Subscribed ... always wanted to know from a creator if its ok ....
1) what does research for running a newsletter look like? Many seem to curate a collection of content from other similar newsletters. Others seems to annotate and summarize. Is this ok?
2) How do you get audience .... any strategies that work? Or is it just have fun doing what you love and hope that audience show up
I hired a team of writers and researchers to help me create a daily summary of AI news at boteatbrain.com, we're not everyone's cup of tea, but if you just want to keep your wetted finger in the wind, then check us out.
There is a huge cost to being on X/Twitter - you are transfixed by all the awesome-sounding mostly self-promotional posts and keep going into rabbit holes so you don’t have any time left to build your own things or pursue your own ideas.
Of course you can limit yourself to say half hour a day, but there is also an emotional cost of seeing people working on similar ideas which can be quite deflating.
So… I’ve not gone on Twitter for several months now and instead just use newsletters, HN, R/ML and R/LocalLlama to keep updated. My heuristic is that if something is significant it will bubble up on one of these.
Besides the newsletters already mentioned here, for research trends I like the labml trending papers list and newsletter —
https://arxiv.org/list/cs.AI/recent
or rather my transformer-powered RSS reader looks at it. This is very technical and quite raw and my own interest is not so much the cutting edge stuff but rather the people who are working on run-of-the-mill problems like my RSS reader.