Weight-Space Programming: The Third Lever for LLMs
Gradient descent was never sacred. It was scaffolding — the only general-purpose tool we had for shaping billions of numbers no human could read, so we built...
machine learning
All articles tagged with “machine learning”
13 articles
Why LLM Voice Is Instantly Recognizable — and How to Fix It
Spend ten minutes reading blog posts written since late 2023 and you'll feel it: a creeping sense that everything was written by the same slightly overeager...
World Models vs Video Prediction: What I Got Wrong
When Genie 4's demos landed, my first reaction was the same one I've had since Sora: this is a very good video generator, why are we calling it a world model?...
LLM Conjecture Generation vs Proof-Checking: Who Wins
Somewhere between the second and third coffee, a lot of complexity theorists recently read a sentence they never expected to read: a deterministic algorithm...
Reasoning Models Are Trained, Not Prompted
Here's an opinion I defended badly at a team lunch last year and have since come to believe even more strongly: if your mental model of a reasoning model is "a...
Specialist CNNs vs Frontier LLMs for Image Classification
A dermatologist recently put 200 biopsy-proven skin lesions in front of two frontier LLMs and a fine-tuned copy of Inception v3, a convolutional network Google...
Full-Duplex Speech Models: 5 Voice AI Myths, Tested
I spent two years building voice assistants on the classic stack: speech-to-text in, language model in the middle, text-to-speech out. Every latency...
Time-Series Foundation Models Make Custom Training Obsolete
Here's a claim that would have gotten me laughed out of any forecasting team five years ago: for most time-series problems, training a model on your own data...
Hybrid Reasoning Agents: Latent Thinking, Text Acting
Here's an uncomfortable truth about LLM agents: most of the tokens they produce are expensive filler. A reasoning agent solving a math problem will happily...
Why AI Benchmarks Miss 90% of Real Work
A friend of mine runs operations at a mid-sized logistics company, and last spring her team spent three weeks evaluating whether an LLM could take over their...
Constrained Decoding: Turn LLMs Into Fast Decision Models
Here's a cheap trick that's quietly useful: if you only care about the first token an LLM would emit, you can ask it a multiple-choice question and get the...
When Your GPU Runs Out of VRAM: What to Do
The most common error message in machine learning isn't a Python traceback or a shape mismatch. It's CUDA out of memory. Your model is too big, your batch size...
K-Means at Scale: Why It Falls Apart and What's Next
K-means is the algorithm everyone learns in their intro ML course and then uses incorrectly for the rest of their career. It's deceptively simple: pick K...