Peter Nutter
Peter Nutter

MSc CS @ ETH Zürich · MATS 10.0 · AI Alignment

Peter Nutter

MSc Computer Science student at ETH Zürich and MATS 10.0 scholar. I work on empirical AI alignment — midtraining interventions, generalization, RL, and reward hacking.

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Recent updates

MATS 10.0 Jun–Aug 2026 · Berkeley

Incoming Scholar, Technical Track. Working on extending Model Spec midtraining.

ERA Fellowship Feb–May 2026 · Cambridge

Independent empirical AI safety research on reward hacking in code models — when it emerges, whether it generalizes, and whether it can be detected.

ICML 2026 · Spotlight Position paper · main author

“Anthropomorphic Misalignment Research Needs Stronger Evidence” (spotlight + oral).

Selected research

Reinforced Exploits, Not Optimized Rewards
An ERA Fellowship study of reward hacking in code models trained with GRPO, where a model rewarded for passing tests can learn to overwrite the run_tests() function instead…
Peter Nutter
Tuesday, May 19, 2026

Pattern, Proof, Parrot
Do contemporary large language models actually reason, or do they merely stitch together statistical patterns? The current NLP debate answers both ways yet rarely clarifies…
Peter Nutter
Saturday, July 5, 2025

Scaling Quine–McCluskey with Memory‑Local Design

A high‑level account of how reordering work and fusing passes in a dense, bit‑sliced Q–M implementation turns a memory‑bound algorithm into a cache‑efficient one, yielding…

Peter Nutter, Leyla Yaayladere, Grzegorz Swiader, Gerald Prendi
Sunday, June 1, 2025

🧬 Polyadenylation Site Prediction with DNA LMs

Species-aware DNA language models (DNABERT/SpeciesLM) fine-tuned with LoRA to localize 3′-UTR poly(A) sites near base-pair resolution. Benchmarked against BPNet and…

Hanad Abdullahi, Peter Nutter, Måns Rosenbaum, Shirley Zhang
Monday, July 1, 2024

🌐 Homepage2Vec

Advancing Homepage2Vec with LLM-Generated Datasets for Multilingual Website Classification

Peter Nutter, Mikael Senghaas, Luděk Cizinský
Thursday, February 1, 2024

🔬 Predicting Kidney Transplant Survival with Machine Learning

Bachelor’s thesis on survival modeling for kidney transplantation using UNOS & IKEM data.

Wednesday, August 2, 2023
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Notes & courses

Large Language Models

Course notes from LLM course at ETH 2024

Peter Nutter
Sunday, June 1, 2025

Machine Perception

Course notes from Machine Perception course at ETH 2024

Peter Nutter
Sunday, June 1, 2025

Philosophy of Language and Computation II

Course notes from Philosophy of Language and Computation II at ETH 2024

Peter Nutter
Thursday, May 1, 2025

Probabilistic AI

Course notes from Probabilistic AI at ETH 2024

Peter Nutter
Saturday, December 28, 2024

Machine Learning on Graphs

Notes on Machine Learning techniques for Graphs at TUM 2024

Peter Nutter
Friday, August 2, 2024

Graphs - Generative Models, Ranking, Clustering

Notes on graph theory, algorithms, and applications at TUM 2024

Peter Nutter
Tuesday, July 30, 2024

Robustness in ML

Notes on robustness in machine learning at TUM 2024

Peter Nutter
Tuesday, July 30, 2024

Machine Learning on Sequential Data

Notes on machine learning on sequential data at TUM 2024

Peter Nutter
Tuesday, July 30, 2024

Statistical Computing

Course notes from Statistical Computing course at TUM 2024

Peter Nutter
Saturday, June 1, 2024

Deep Learning

Course notes from I2DL course at TUM 2024

Peter Nutter
Saturday, June 1, 2024
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