Articles by jxmorris12
19

The One-Step Trap (In AI Research) (incompleteideas.net)

1

A Treatise on How to Use the Internet Without Committing Philosophical Suicide (pastebin.com)

4

Are all evils caused by insufficient knowledge? (bretthall.org)

2

Leverage Research 1.0 (lydialaurenson.substack.com)

1

TreeSheets (Hierarchical Spreadsheet) (strlen.com)

21

Why eval startups fail (2025) (thomasliao.com)

2

Are You in the Weights? (intheweights.com)

3

Cursor and SpaceX: In search of a complete loop (kwokchain.com)

35

Zen and the Art of Machine Learning Research (jxmo.io)

1

Demystifying Noise Contrastive Estimation (jxmo.io)

1

Joan Didion: Staking Out California (1979) (nytimes.com)

3

Gram Newton-Schulz: A Fast, Hardware-Aware Newton-Schulz Algorithm for Muon (tridao.me)

1

The Decline of Token-Level Purchasing Power (bigspin.ai)

2

A one-parameter model that gets 100% on ARC-AGI-2 (eitanturok.github.io)

2

The Effective Sample Size (smola.org)

2

Can you go 82-0? (82-0.com)

1

Automating Plain-Text Location Updates with Apple Shortcuts and Redis (nanjiangwill.com)

6

Bias Compounds, Variance Washes Out (convergentthinking.sh)

55

Rothko for your current weather conditions (joonas.wtf)

1

When AI Starts Writing Systems Code (coreauto.com)

1

DTensor, Correctness and the Costs of Abstraction (runwayml.com)

137

The just-say-no engineer was a ZIRP phenomenon (seangoedecke.com)

2

The AI Decoupling (vintagedata.org)

9

The Lottery – Shirley Jackson (1948) (newyorker.com)

2

Yagni (martinfowler.com)

5

LoRA and Weight Decay (2023) (irhum.github.io)

9

Through the looking glass of benchmark hacking (poolside.ai)

1

Diversity as the Bottleneck in Self-Play (ivison.id.au)

3

The Moth Story Map (themoth.org)

1

Boosting multimodal inference performance by >10% with a single Python dict (modal.com)

20

Why are neural networks and cryptographic ciphers so similar? (2025) (reiner.org)

5

Using group theory to explore the space of positional encodings for attention (janestreet.com)

1

Pyptx – A Python DSL to Write Nvidia PTX for Hopper and Blackwell (github.com/patrick-toulme)

11

Which one is more important: more parameters or more computation? (2021) (parl.ai)

1

As We May Think (theatlantic.com)

30

Work with the garage door up (2024) (andymatuschak.org)

18

Six (and a half) intuitions for KL divergence (perfectlynormal.co.uk)

2

Thoughts on AI and Research [pdf] (economics.mit.edu)

1

How fast can algorithms advance capabilities? (epoch.ai)

3

An Example of Statistical Investigation of the Text Eugene Onegin – Markov, 1913 [pdf] (alpha60.de)

3

Proactively Parasocial (nicklandolfi.com)

111

Ripgrep is faster than grep, ag, git grep, ucg, pt, sift (2016) (burntsushi.net)

6

Fast regex search: indexing text for agent tools (cursor.com)

1

Just One More Prompt (Peter Steinberger) (steipete.me)

1

In high school I found a mistake in the Martian, DM'd Andy Weir, and he replied (twitter.com/zachary_horvitz)

1

BullshitBench (petergpt.github.io)

1

AI as Normal Technology [pdf] (amazonaws.com)

13

Book: The Emerging Science of Machine Learning Benchmarks (mlbenchmarks.org)

2

NanoGPT Speedrun Living Worklog (tylerromero.com)

2

Neolab and Emerging AI Lab Tracker (cleverhack.com)

1

Pplx-Embed: Embedding Models for Web-Scale Retrieval (perplexity.ai)

16

The Pleasures and Pains of Coffee (1830) (umich.edu)

2

The Flying Wallendas (wikipedia.org)

3

Escaping flatland: career advice for CS undergrads (ong.ac)

2

Forge: Scalable Agent RL Framework and Algorithm (minimax.io)

14

Continuous batching (2025) (huggingface.co)

1

Continual learning and the post monolith AI era (baseten.co)

8

Why is everything so ugly? (nplusonemag.com)

1

DoorDash and Other Food Delivery Apps Are Reshaping Mealtime (nytimes.com)

1

Future leakage in block-quantized attention (matx.com)

2

The Normalization of Deviance in AI (embracethered.com)

4

Bertrand Russell on Apricots (1935) (peterhousehold.blogspot.com)

1

Clawdbot Remembers Everything (twitter.com/manthanguptaa)

39

Exactitude in Science – Borges (1946) [pdf] (kwarc.info)

2

Learning with LLMs (jwuphysics.github.io)

26

Slouching Towards Bethlehem – Joan Didion (1967) (saturdayeveningpost.com)

2

LLM architecture has evolved from GPT-2 to GPT-OSS (2025) (modal.com)

11

Weight Transfer for RL Post-Training in under 2 seconds (perplexity.ai)

16

Keeping 20k GPUs healthy (modal.com)

1

The State of LLM Serving in 2026: Ollama, SGLang, TensorRT, Triton, and vLLM (thecanteenapp.com)

1

What Is Arithmetic Bandwidth? (modal.com)

4

GPU memory snapshots: sub-second startup (2025) (modal.com)

2

Teenygrad (github.com/tinygrad)

1

Meaning in Large Language Models: Form vs. Function (jgehring.net)

1

Shape Suffixes – Good Coding Style (medium.com/noamshazeer)

4

Building Internal Agents (lethain.com)

1

How to Use LLM as a Judge (Without Getting Burned) (twitter.com/manthanguptaa)

42

[flagged] FTX whistleblower Caroline Ellison set for early release next month (invezz.com)

3

Tips for Writing a Technical Book (borischerny.com)

1

Information, complexity, brains and reality (Kolmogorov Manifesto) (2007) (arxiv.org)

4

Dinosaur Food: 100M year old foods we still eat today (borischerny.com)

50

Two kinds of vibe coding (davidbau.com)

2

Statistical Learning Theory and ChatGPT (kamalikachaudhuri.substack.com)

7

I ran out of money, spent my savings on a Hong Kong prostitute,& became a commie (docs.google.com)

5

Why are your models so big? (2023) (pawa.lt)

1

[dupe] The Decline of Deviance (experimental-history.com)

87

Sycophancy is the first LLM "dark pattern" (seangoedecke.com)

2

Contextualization Machines (stochasm.blog)

1

ChaCha has all the answers – unless I'm on the other end (2009) (archive.org)

8

What I don’t like about chains of thoughts (2023) (samsja.github.io)

1

Reframing Impact (turntrout.com)

1

Continuous Batching from First Principles (huggingface.co)

1

Solving Kilordle (hauntsaninja.github.io)

1

Kilordle (jonesnxt.github.io)

1

What makes good reasoning data (huggingface.co)

2

Evaluating the Effectiveness of LLM-Evaluators (a.k.a. LLM-as-Judge) (eugeneyan.com)

1

Compute Forecast (AI 2027) (ai-2027.com)

1

A Realistic AI Timeline (vintagedata.org)

2

Biotech companies I wish existed (eladgil.com)

1

A World of Verifiable Domains (seancai.com)