True Theta Substack
DJ, Howe WangWe bridge the gap between data and effective decision-making with time-tested, custom-built algorithms.
| Platform |  | Pricing | Freemium | Publishes | Weekly |
|---|---|---|---|---|---|
| Issues | 11 | Founded | 2 years ago | Last Issue | 6 months ago |
| Active | |||||
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truetheta.substack.comLatest Issues
Model Collapse
Today, we consider the reality: synthetic content is flooding the internet, and that makes it harder for models to learn from the real world.
Studies show that models trained too heavily on their own outputs begin to lose rare informa...
Should You Retrain That Model? (Part 3)
In Part 1, we explored the challenges of model degradation, including how it often goes unnoticed and why teams hesitate to retrain due to factors like shifting priorities. In Part 2, we discussed reframing the retraining decision as a prac...
Should You Retrain That Model? (Part 2)
In Part 1, we laid out the problem: models degrade silently, teams delay retraining, and the standard "monitor for drift" approach falls short as a decision policy. Here in Part 2, we'll reframe that question as a counterfactual comparison...
Should You Retrain That Model? (Part 1)
Machine-learning models are trained on a fixed slice of history and don’t age like fine wine. The world shifts under their feet. Performance usually decays quietly, and in many organizations it’s not noticed until it’s expensive. Leadership...
AI Inference Platforms: A Practical Guide
AI has transitioned from a research-heavy phase of model training to the practical challenges of inference—deploying trained models to serve predictions. Today, inference underpins everything from conversational agents and recommendation sy...
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Authors
The writers behind this newsletter.
I help companies build machine learning models.
I write about public technology spending, machine learning infrastructure, and enterprise AI adoption
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