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Sam Kim
Sep 2
I Spent $127K on Machine Learning Infrastructure — Here's What Actually Worked
After building Machine Learning systems at three different unicorns and consulting for 50+ AI implementations, I've seen the same patterns kill projects over and over. The good news? The solutions are simpler than you think.
The $2.7M Machine Learning Failure
Last year, I was called in to investigate why a company's Machine Learning project was burning $2.7M annually with zero production impact. Beautiful demos,...
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Sam Kim
Aug 29
The NLP Mistakes That Are Costing Companies Millions (And How to Avoid Them)
After building NLP systems at three different unicorns and consulting for 50+ AI implementations, I've seen the same patterns kill projects over and over. The good news? The solutions are simpler than you think.
The $2.7M NLP Failure
Last year, I was called in to investigate why a company's NLP project was burning $2.7M annually with zero production impact. Beautiful demos, impressive accuracy metrics, glowing res...
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Sam Kim
Aug 26
AI Tools in 2025: What's Actually Useful vs What's Just Hype
After building AI Tools systems at three different unicorns and consulting for 50+ AI implementations, I've seen the same patterns kill projects over and over. The good news? The solutions are simpler than you think.
The $2.7M AI Tools Failure
Last year, I was called in to investigate why a company's AI Tools project was burning $2.7M annually with zero production impact. Beautiful demos, impressive accuracy metrics, glowing rese...
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Sam Kim
Aug 22
Machine Learning is Not Magic — It's Engineering (And Here's How to Do It Right)
After building Machine Learning systems at three different unicorns and consulting for 50+ AI implementations, I've seen the same patterns kill projects over and over. The good news? The solutions are simpler than you think.
The $2.7M Machine Learning Failure
Last year, I was called in to investigate why a company's Machine Learning project was burning $2.7M annually with zero production impact. Beautiful demo...
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Sam Kim
Aug 19
The AI Ethics Framework Every Engineering Team Needs in 2025
After building AI Ethics systems at three different unicorns and consulting for 50+ AI implementations, I've seen the same patterns kill projects over and over. The good news? The solutions are simpler than you think.
The $2.7M AI Ethics Failure
Last year, I was called in to investigate why a company's AI Ethics project was burning $2.7M annually with zero production impact. Beautiful demos, impressive accuracy metrics, glowing r...
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Sam Kim
Aug 15
Deep Learning in 2025: What's Actually Useful vs What's Just Hype
After building Deep Learning systems at three different unicorns and consulting for 50+ AI implementations, I've seen the same patterns kill projects over and over. The good news? The solutions are simpler than you think.
The $2.7M Deep Learning Failure
Last year, I was called in to investigate why a company's Deep Learning project was burning $2.7M annually with zero production impact. Beautiful demos, impressive accuracy m...
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Sam Kim
Aug 12
The AI Ethics Framework Every Engineering Team Needs in 2025
After building AI Ethics systems at three different unicorns and consulting for 50+ AI implementations, I've seen the same patterns kill projects over and over. The good news? The solutions are simpler than you think.
The $2.7M AI Ethics Failure
Last year, I was called in to investigate why a company's AI Ethics project was burning $2.7M annually with zero production impact. Beautiful demos, impressive accuracy metrics, glowing r...
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Sam Kim
Aug 8
The AI Tools Strategy That Turned Our Prototype Into $10M ARR
After building AI Tools systems at three different unicorns and consulting for 50+ AI implementations, I've seen the same patterns kill projects over and over. The good news? The solutions are simpler than you think.
The $2.7M AI Tools Failure
Last year, I was called in to investigate why a company's AI Tools project was burning $2.7M annually with zero production impact. Beautiful demos, impressive accuracy metrics, glowing res...
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Sam Kim
Aug 5
How We Reduced Machine Learning Inference Costs by 89% Without Losing Accuracy
After building Machine Learning systems at three different unicorns and consulting for 50+ AI implementations, I've seen the same patterns kill projects over and over. The good news? The solutions are simpler than you think.
The $2.7M Machine Learning Failure
Last year, I was called in to investigate why a company's Machine Learning project was burning $2.7M annually with zero production impact. Beautiful demos,...
Read more
0
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Sam Kim
Aug 1
NLP in 2025: What's Actually Useful vs What's Just Hype
After building NLP systems at three different unicorns and consulting for 50+ AI implementations, I've seen the same patterns kill projects over and over. The good news? The solutions are simpler than you think.
The $2.7M NLP Failure
Last year, I was called in to investigate why a company's NLP project was burning $2.7M annually with zero production impact. Beautiful demos, impressive accuracy metrics, glowing research papers.
The pr...
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Sam Kim
Jul 29
I Built Deep Learning Systems at 3 Unicorns — Here Are the Patterns That Actually Scale
After building Deep Learning systems at three different unicorns and consulting for 50+ AI implementations, I've seen the same patterns kill projects over and over. The good news? The solutions are simpler than you think.
The $2.7M Deep Learning Failure
Last year, I was called in to investigate why a company's Deep Learning project was burning $2.7M annually with zero production impact. Beautiful demos,...
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Sam Kim
Jul 25
I Built Deep Learning Systems at 3 Unicorns — Here Are the Patterns That Actually Scale
After building Deep Learning systems at three different unicorns and consulting for 50+ AI implementations, I've seen the same patterns kill projects over and over. The good news? The solutions are simpler than you think.
The $2.7M Deep Learning Failure
Last year, I was called in to investigate why a company's Deep Learning project was burning $2.7M annually with zero production impact. Beautiful demos,...
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Sam Kim
Jul 22
Why Your Deep Learning Model Works in Jupyter But Fails in Production
After building Deep Learning systems at three different unicorns and consulting for 50+ AI implementations, I've seen the same patterns kill projects over and over. The good news? The solutions are simpler than you think.
The $2.7M Deep Learning Failure
Last year, I was called in to investigate why a company's Deep Learning project was burning $2.7M annually with zero production impact. Beautiful demos, impressive accura...
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0
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Sam Kim
Jul 18
How We Reduced Computer Vision Inference Costs by 89% Without Losing Accuracy
After building Computer Vision systems at three different unicorns and consulting for 50+ AI implementations, I've seen the same patterns kill projects over and over. The good news? The solutions are simpler than you think.
The $2.7M Computer Vision Failure
Last year, I was called in to investigate why a company's Computer Vision project was burning $2.7M annually with zero production impact. Beautiful demos, imp...
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Sam Kim
Jul 15
Why Your Data Science Model Works in Jupyter But Fails in Production
After building Data Science systems at three different unicorns and consulting for 50+ AI implementations, I've seen the same patterns kill projects over and over. The good news? The solutions are simpler than you think.
The $2.7M Data Science Failure
Last year, I was called in to investigate why a company's Data Science project was burning $2.7M annually with zero production impact. Beautiful demos, impressive accuracy m...
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Sam Kim
Jul 11
The Data Science Mistakes That Are Costing Companies Millions (And How to Avoid Them)
After building Data Science systems at three different unicorns and consulting for 50+ AI implementations, I've seen the same patterns kill projects over and over. The good news? The solutions are simpler than you think.
The $2.7M Data Science Failure
Last year, I was called in to investigate why a company's Data Science project was burning $2.7M annually with zero production impact. Beautiful demos, impr...
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Sam Kim
Jun 7
I Built a Custom ChatGPT for My Company's Codebase. Here's What I Learned About Enterprise AI
Building AI systems for enterprise use is vastly different from creating proofs of concept or research prototypes. After months of real-world implementation, here's what I wish I knew before starting.
Six months ago, our engineering team was drowning in tribal knowledge. New developers spent weeks just understanding our codebase architecture. So I built an internal AI assistant trained on our docum...
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