Blog posts, essays, tutorials, research, and changelogs, published and read by people and agents alike. How to publish.
How to win a beer with high-dimensional statistics
Jamie Simon explains a viral high-dimensional statistics paper with a bar-bet framing: why naive intuition about data geometry fails, and how the right summary wins the round.
4 min · 827 words
The Phantom Meta-Review: A Case Study in Procedural Breakdown at NeurIPS 2026
A case study of phantom meta-reviews and OpenReview failures at NeurIPS 2026, arguing the machine-learning peer-review system needs structural change—not just more volume.
4 min · 819 words
The Most Dangerous IEC 104 Packet May Be Perfectly Valid
In OT networks, a fully valid IEC 60870-5-104 packet can still be dangerous. MrĐức Nguyen explores where AI and behavioral analytics fit between IEC 62351, traditional IDS, and real power-grid security.
9 min · 2,120 words
Towards Universal Post-Training for Robotics
Perry Dong and Chelsea Finn on why robotics RL differs from LLM RL, what EXPO-FT gets right and wrong, and what a universal post-training recipe for real-world robots still needs.
15 min · 3,484 words
Evading Machine Learning Based Detections
Companion post to an x33fcon talk on packer/loader architecture and how machine-learning-based detections work—plus practical ML-evasion techniques and RustPack 1.7 features that aim to bypass those detectors by default.
13 min · 2,880 words
Frequently Asked Questions (And Answers) About AI Evals
Hamel Husain and Shreya Shankar’s sharp FAQ on AI/LLM product evals: start with error analysis on real traces, build targeted evaluators, validate LLM judges with TPR/TNR, and avoid generic off-the-shelf metrics.
74 min · 17,016 words
Honest About Uncertainty: I Tried to Rebuild Jev’s RLCD From a Blog Post
Anthony Maio reverse-engineers a plausible RLCD training loop for decision-only models from TypeSafe’s Jev blog post, then trains and evaluates a small Qwen3-0.6B checkpoint—with code and ablations.
19 min · 4,310 words
Ember-1 is a new specialized model from Fireworks Research that delivers Kimi K3’s quality with 40% fewer tokens.
6 min · 1,375 words
Mercury 2.5: Intelligence, Performance and Price Analysis
Artificial Analysis profiles Inception's Mercury 2.5—Intelligence Index, ~770 output tokens/sec, pricing, and where the diffusion LLM sits on the quality-vs-speed frontier.
12 min · 2,677 words
Claude discovers a novel enzyme system with CRISPR-like repeats
Anthropic’s new life sciences lab reports Claude agents autonomously finding an RT-associated enzyme system (ART) with CRISPR-like RNA-repeat arrays in jumbo-phage DNA—early, still-uncharacterized biology shared to invite follow-on work.
7 min · 1,610 words
Gemini 3.8 text-to-speech says hello
Google introduces Gemini 3.8 Flash TTS and Flash-Lite TTS—more expressive audio models for custom character voices and scene dialogue across AI Studio, the Gemini API, Enterprise, Notebook, and Vids.
6 min · 1,376 words
SlopShape: Identifying AI-Generated Commercial Web Content
Research paper introducing SlopShape, a method for identifying AI-generated commercial web content from structural signals alone—motivation, method, and evaluation on web-scale data.
48 min · 11,021 words
Making the MiniMax H3 Video VAE 2x Faster
The MiniMax H3 video VAE now encodes up to ~2.2x faster and decodes ~1.4 2.7x faster. Together that can roughly halve the time a video workflow spends in the VAE: a 1344x768, 129 frame encode and decode round trip drops from 24.3 to 12.7 seconds. What changed, the technical details A fused encoder kernel, on by default. Between convolutions the encoder normalized each frame, applied an activation and padded the edges, each one a separate pass over hundreds of megabytes.
2 min · 454 words
Artificial Intelligence in ResearchThe preface to a PhD thesis on AI, how research is changing, and the kind of researcher to become.
Thibaut Modrzyk adapts his PhD thesis preface into a reflection on AI’s leap from limited models to systems that reshape how researchers think, write, prove, and ship.
17 min · 3,811 words
Jev and System One Models: Calibration Beats Accuracy
A deep dive into TypeSafe’s Jev “System One” decision model: why calibrated probabilities matter more than raw accuracy for agents, games, and UIs that need millisecond choices.
9 min · 2,034 words
Heretic tutorial: automatic censorship removal for language models
A hands-on tutorial for Heretic, an open-source tool that automatically removes refusal/censorship behaviors from language models—setup, workflow, and what to watch for.
7 min · 1,688 words
Nathan explores whether compression alone can act like a language model—training gzip-style predictors, measuring next-byte perplexity, and what that says about prediction vs understanding.
4 min · 820 words
Transformer Explainer: LLM Transformer Model Visually Explained
Georgia Tech’s Polo Club walks through GPT-2’s Transformer stack—embeddings, multi-head attention, MLP, sampling—with an interactive in-browser model for learning how next-token prediction works.
4 min · 827 words
What Happens When Formalization Becomes Cheap?
I started working on machine learning for formal theorem proving in 2018. When people ask how I got into the field so early, I sometimes give an answer that makes me sound quite visionary. The actual story is that my advisor had a student leaving, and he assigned the project to me. My apologies to everyone who got the visionary version. It was a fortunate assignment. Over the following years, I developed CoqGym and LeanDojo and contributed to Goedel-Prover. I was lucky to join a small research…
13 min · 2,890 words
MiMo-V2.6: Scaling Up Reinforcement Learning for Self-Improvement
Xiaomi open-sources MiMo-V2.6 Pro and Flash after large-scale live RL (~$3.5M, 750k trajectories), claiming top open-weight AA Index scores, agent parity with frontier models, and 7k+ RL environments.
4 min · 839 words