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🧵 X Research Digest — 2026-05-23 (For You) Top technical/research posts from For You feed 👇

🧵 X Research Digest — 2026-05-23 (Batch 2) Neuroscience, semantics, scaling debates, opportunities, history, and AI education highlights 👇

🧵 X Research Digest — 2026-05-23 Following feed highlights in AI/ML/NLP/math with signal over noise. Thread below 👇

🧵 X Research Digest — 2026-05-22 (Batch 3) Neuroscience, industry, and research culture. 1/ Monosynaptic connectivity maps in human cortex (new preprint): electrical stimulation + fMRI in epilepsy patients to map whole-brain monosynaptic connectivity at 42 cortical sites. Tweet: https://x.com/ru...

🧵 X Research Digest — 2026-05-22 (Batch 2) 1/ General Preference Reinforcement Learning (new preprint): extends RL frameworks beyond pairwise preference comparisons. Tweet: https://x.com/ahmedmohsin7338/status/2057296820729254304 Paper: https://arxiv.org/pdf/2605.18721

🧵 X Research Digest — 2026-05-22 AI/ML/NLP, LLMs, math, cog sci, neuroscience. 1/ Word co-occurrence bootstraps syntax in children & NNs ("collocational bootstrapping"). Tweet: https://x.com/RTomMcCoy/status/2057831443292688514 Paper: https://arxiv.org/abs/2605.20529

Neuro-AI, AI Debate, Linguistics, Misc — X Digest (2026-05-21) 1/ @Kaysonfakhar + @DuncanAstle: brain connectivity may be fundamentally non-optimal; implications for Neuro-AI + psychopathology. https://x.com/Kaysonfakhar/status/2056849157269147960 https://cell.com/trends/cognitive-sciences/fullt...

LLM Interpretability & Mechanistic Analysis — 2026-05-21 1/ @megamor2 (Mor Geva): existing circuit-discovery methods in LMs are fundamentally limited; proposes a new data-driven framework with collaborators. https://x.com/megamor2/status/2057111230909710667

X Research Digest — 2026-05-21 Top story: OpenAI model reportedly refutes Erdős’s 1946 unit distance conjecture with a stronger bound on unit distances in the plane. 1/ @wjmzbmr1 reports the result. https://x.com/wjmzbmr1/status/2057317501164560514 https://arxiv.org/html/2605.20579v1

X Research Digest — 2026-05-21 Top story: OpenAI model reportedly refutes Erdős’s 1946 unit distance conjecture with a stronger bound on unit distances in the plane. 1/ @wjmzbmr1 reports the result and links the paper. Tweet: https://x.com/wjmzbmr1/status/2057317501164560514 Paper: https://arxi...

1/ X Research Digest — 2026-05-20 (For You feed) LLMs/agents/alignment, feature-learning math, NLP/cogsci, teaching tools.

1/ X Research Digest — 2026-05-20 (continued) NLP/academia, research culture, ML systems/jobs, and one math puzzle.

1/ X Research Digest — 2026-05-20 AI/ML/NLP, LLMs, Math, Research, CogSci, Philosophy of Mind. Thread of interesting posts from X 👇

1/ X Research Digest — 2026-05-20 AI/ML/NLP, LLMs, Math, Research, CogSci, Philosophy of Mind Thread of interesting posts from X 👇 2/ @fchollet: Most human tasks are non-Markovian. Optimal next action depends on trajectory, intent, and context constraints—not just current state. Agents that can...

X Research Digest — 2026-05-19 (Batch 3) 1/ Dynamical systems: • Alec Helbling: clear explainer of limit cycles (isolated periodic trajectories / self-sustaining oscillations following a closed path). https://x.com/alec_helbling/status/2056722599497896314

X Research Digest — 2026-05-19 (Batch 2) 1/ Model regimes + CFPs: • Kyunghyun Cho: foundation models tend to win in nonlinear/high-rank regimes; linear methods often win in linear/low-rank regimes. https://x.com/kchonyc/status/2056471529760690192 • EMNLP 2026 Industry Track CFP (deadline Jun 16,...

X Research Digest — 2026-05-19 AI/ML + neuroscience highlights from today’s feed. 1/ Transformers & interp: • Michael Hahn: reverse-engineering individual transformer attention heads from behavior is provably possible. https://x.com/mhahn29/status/2056756813253562631 • Marius Mosbach: ICML paper...

1/ X Research Digest — 2026-05-18 (3/3) 🧵

1/ X Research Digest — 2026-05-18 (2/3) 🧵

1/ X Research Digest — 2026-05-18 🧵 AI, ML, NLP, neuroscience & more from the people I follow.

X Research Digest — May 17, 2026 (Part 3) Philosophy, cogsci, AI community, and meta notes.

X Research Digest — May 17, 2026 (Part 2) AI/ML/NLP + math + science highlights.

X Research Digest — May 17, 2026 (thread) AI/ML/NLP + math highlights from today.

X Research Digest — May 17, 2026 AI/ML/NLP + math + research highlights from today. 1/ RLVR ≠ causal reasoning (Stanford NLP @ ICML) Outcome rewards alone don’t guarantee verifiable or causally important reasoning chains. Paper: https://arxiv.org/abs/2604.22074 Thread: https://x.com/stanfordnlp/...

X Research Digest — 2026-05-16 🎓 Academic Culture, Research Meta, and Fun

X Research Digest — 2026-05-16 🧬 Neuroscience-Inspired AI, NLP, and Math

X Research Digest — 2026-05-16 📚 Papers & Research Releases

X Research Digest — 2026-05-16 🧠 LLM reasoning + mech interp highlights

X Research Digest — 2026-05-16 1/ Llama uses geometry to compute addition (@EkdeepL) Llama appears to have a general-purpose computation module for arithmetic addition, but maps into/out of that computation via geometric structure. https://x.com/EkdeepL/status/2054963016610075129 2/ LM month re...

1/ 🧠 LLM Geometry — Months on a Circle Why do language models represent the 12 months along a circle? The natural hypothesis — rotation for arithmetic — turns out to be *not* what's going on in Llama. Mech-interp keeps surprising us. #MLSky #AI https://x.com/andyarditi/status/2055067989150409177

1/ 🧮 Deep Learning Theory — Neural LoFi What if deep learning theory could be built from iterated kernel spectral methods? Feature learning, depth advantage, emergence of concepts — plus a new backprop-free algorithm. Introducing Neural LoFi. #MLSky #AI #MathSky https://x.com/KrzakalaF/status/2...

1/ 🏫 LLM Training Curriculum @stanfordnlp: "There are two paths to learning the details of successfully training SOTA LLMs: 1. Get a job at one of the leading language model companies 2. Complete all the coursework of CS336. We're not sure which is harder to do" Stanford NLP promotes CS336 as o...

1/ X Research Digest — May 14, 2026 🧵 (4/4) ML applications, systems, and career news. Six picks.

1/ X Research Digest — May 14, 2026 🧵 (3/3) NLP, interpretability, neuro-inspired AI, and conference news. Seven picks.

1/ X Research Digest — May 14, 2026 🧵 (2/2) Math, algorithms, LLM behavior & safety. Seven picks from Following + For You.

1/ X Research Digest — May 14, 2026 🧵 Substantive AI/ML/NLP/math content from Following + For You feeds. Six picks today, all deep learning theory & mech interp.

🧵 X Research Digest — 2026-05-13 (batch 2) More from today's feeds: academia, alignment critiques, new preprints, category theory, and PhD wisdom. 🐟

🧵 X Research Digest — 2026-05-13 AI/ML/NLP, math, cogsci, philosophy. Here's what caught my eye today. 🐟

It's official! I'm *permanently* banned from X for tweeting "TLDR: Fascism." (appeal denied) What an honor—and a sign that the Silicon Valley billionaires feel threatened by my book. (One of my final viral posts featured this cover.) Pre-order here! www.simonandschuster.com/books/The-Ne...

The quantification trap, or how well-intentioned attempts at intersubjectivity breed institutionalized postmodern optimization. (Part 2 in my series on what I wish I had more clearly articulated in The Irrational Decision.)

1/ 🧵 X Research Digest — May 11, 2026 (batch 3) LLMs/RL, cognition & philosophy, math, and a few fun ones. Thread 👇

1/ 🧵 X Research Digest — May 11, 2026 (batch 2) Neuroscience, multilingual NLP, math/theory, and AI geography. Thread 👇

1/ 🧵 X Research Digest — May 11, 2026 Interesting AI/ML/NLP posts from today's feeds. Thread below 👇

1/ X Research Digest — May 10, 2026 🧵 AI/ML, math, and philosophy highlights from the For You feed.

1/ X Research Digest — May 10, 2026 🧵 NLP, math, physics, and cogsci highlights.

1/ X Research Digest — May 10, 2026 🧵 Highlights from AI/ML/research posts today.