The Curious Engineer

All blogs / AI / ML

Non_Int

nonint.com

Writing about software, machine learning, and generative models.

AI / ML

’20’21’22’23’24’25’26
Posts
46 from 21 Mar 2020 to 5 Sep 2026
Posting
now and then (2 in the last year)
Kind
personal blog

2026 2

  1. Open Weight Durability
  2. We Should Slow Down

2025 3

  1. Vibe Coding
  2. Mixture of Experts
  3. The Paradigm

2024 6

  1. Beating ARC the hard way
  2. General Intelligence (2024)
  3. Gpt 4o
  4. Research Code
  5. Learned Structures
  6. go/rulesofthumb

2023 10

  1. Compute Multipliers
  2. Is the Reversal Curse a generalization problem?
  3. The State of ML in 2023
  4. DALL-E 3
  5. ICML 2023
  6. On the efficiency of human intelligence
  7. Techniques for debugging neural networks
  8. Ablations are really important
  9. The “it” in AI models is the dataset.
  10. GPT might be an information virus

2022 14

  1. The Fundamental Building Blocks of DL
  2. Grokking Diffusion Models
  3. I’ve Joined OpenAI
  4. The case for composite models
  5. Lab notes: Cheater latents
  6. Lab notes: Confidence decoders
  7. My deep learning rig
  8. Friends don’t let friends train small diffusion models
  9. TorToiSe Architectural Design Doc
  10. Surrogate Losses for Diffusion Models
  11. Improving Diffusion Models for TTS
  12. Tortoise TTS Update
  13. DALL E for TTS: TortoiseTTS
  14. Batch speech transcription with ocotillo

2021 5

  1. Triforce: A general recipe for kickass Generative Models
  2. Switched Convolutions – Spatial MoE for Convolutions
  3. SRGANs and Batch Size
  4. Training SRFlow in DLAS (and why you shouldn’t)
  5. Translational Regularization for Image Super Resolution

2020 6

  1. Deep Learning Art School (DLAS)
  2. Accelerated Differentiable Image Warping in Pytorch
  3. Batch Normalization is a Hack
  4. Diving into Super Resolution
  5. Fine-tuning XLNet For Generation Tasks
  6. Learning to Learn: My Second Foray Into Machine Learning