Tag
Monolith architecture
3 posts
- 06SaturdayDifferent Angle·
Trying to grow content by chasing social media algorithm 'hacks' is fighting windmills in a landscape of constantly shifting rules. You can't outsmart the algorithm—but you can train it with your own data.
Stop Hacking the Algorithm: How to Train Machine Learning as a Distribution Partner
Chasing social media algorithm exploits to grow content is like tilting at windmills. The real solution isn't tricking the algorithm, but training it like a partner with clean data.
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- 02TuesdayMain Essay·
We have entered an era where follower counts are obsolete and vector similarity algorithms decide content distribution. But how do these machine learning models actually interpret your work?
Algorithmic Distribution: The Guide to Transitioning from Social Graphs to Interest Graphs
A deep technical guide exploring the architecture of interest graphs replacing social networks, and how modern machine learning models classify and distribute digital content.
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- 01MondayOpening·
Tired of trying to 'hack' social media and search engine algorithms? The reality is that algorithms aren't adversaries to outsmart—they are simply mathematical predictive models waiting to be fed the right signals.
Feed the Algorithm, Don't Hack It: Machine Learning in Distribution
In the age of AI, content distribution is no longer about tricking static rules. Discover how to optimize your content for algorithms by understanding the mathematical predictive models powering modern recommendation systems.
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