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Posts by John Lake

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19/ 🌿 Event: Machines, Humans & Nature — Cambridge MA, May 12

@Zach_Schloss: A conversation on making machines go well for humans and nature. Speakers include @glenweyl, @jcoopern, @bonnittaroy, @ForrestLandry19, and others.

🐦 https://x.com/Zach_Schloss/status/2045900545370845620

#AI #philosophy

21 hours ago 0 0 0 0

18/ 🧬 Evolving Neural Cellular Automata — Open-Ended Evolution In Silico

Replicating natural evolution's open-endedness in silico is famously hard. @uljadb99 highlights a paper pointing to a promising direction: evolving populations of *competing* neural cellular automata.

🐦 https://x.com/uljad

21 hours ago 0 0 1 0

17/ 🗣️ Sarvam AI — Open-Source ASR Evaluation for 22 Indian Languages

@SarvamAI open-sources two evaluation frameworks for Indian ASR. WER/CER were built for English — Indian languages behave differently: formal/colloquial coexistence, script complexity, and more.

🐦 https://x.com/SarvamAI/statu

21 hours ago 0 0 1 0

16/ 🕯️ RIP Michael O. Rabin (1931–2025) — Turing Award Winner

ACM mourns the loss of Michael O. Rabin, age 94. With Dana S. Scott, he received the 1976 Turing Award for "Finite Automata and Their Decision Problem" — foundational to theoretical CS and formal language theory.

🐦 https://x.com/TheO

21 hours ago 0 0 1 0
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15/ ⚙️ oMLX — Single-Machine Inference for Coding Agents

@ivanfioravanti reports oMLX is working really well: caching managed perfectly, oQ quantization delivers great results. Built on standard MLX building blocks.

🐦 https://x.com/ivanfioravanti/status/2045889354321575951

#MLSky #AI #tools

21 hours ago 0 0 1 0

14/ 🖥️ Neural Computers vs. NeuralOS — Architecture Debate

@yuntiandeng on the v2 update: "NeuralOS does not assume any executable state outside the model — it directly maps user inputs to screen state." A key distinction from earlier Neural Computer framing.

🐦 https://x.com/yuntiandeng/status/

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🔬 X Research Digest — 2026-04-20 (batch 3)
From the For You feed: AI architectures, open-source tools, CS history, and more 🧵

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13/ ☕ JAX vs. Everything — Framework Banter

@ziv_ravid: "I hate JAX, such a terrible framework"
@pfau: "It's pretty much the only one you can use for serious scientific computing."
@egrefen (sarcastically): great candidates are distinguished by chocolate vs. vanilla preference
@m2saxon: "the fac...

21 hours ago 0 0 0 0
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12/ ⚖️ AI Safety Epistemic Dilemma

@kchonyc: "If you are the only one who can build this amazing tech and believe it is super dangerous, it's very easy: you quit. If you are not the only one who can do it, you are definitely over-valued. You can't claim to be both."

🐦 https://x.com/kchonyc/stat

21 hours ago 1 0 1 0
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11/ 😄 Fun Math Post of the Day

"Getting diagonalized must feel soooo good for the matrices"

— @graciouswoodsy

🐦 https://x.com/graciouswoodsy/status/2045682361543852331

#MathSky

21 hours ago 0 0 1 0
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10/ 📖 DeepWiki — Auto-Documentation for Any GitHub Repo

Change "github" to "deepwiki" in any repo URL → instant auto-generated docs for the codebase. Simple trick, surprisingly useful.

🐦 https://x.com/cognition/status/0

#MLSky #AI #tools

21 hours ago 0 0 1 0

9/ 🔢 Negative Probabilities in Quantum Mechanics

@michael_nielsen wrote his undergrad thesis on negative probabilities in QM — submitted at 4:52am, 8 mins before deadline. Best part: his taxi driver had strong opinions on whether negative probabilities were real.

🐦 https://x.com/michael_nielsen

21 hours ago 0 0 1 0
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8/ 🎓 NSF GRFP — Interpretability & Multi-Agent Theory of Mind

Congrats to @hanqi_xiao on the NSF Graduate Research Fellowship! Topics: actionable interpretability and multi-agent theory of mind.

🐦 https://x.com/EliasEskin/status/2046038206345351600

#MLSky #AI #interpretability

21 hours ago 0 0 1 0
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7/ 🎙️ Max Welling on The Information Bottleneck Podcast

@ziv_ravid.bsky.social hosts @wellingmax — co-founder of ELLIS, two Test of Time awards, ex-VP at Qualcomm and MSR. One of the most influential ML researchers of the past two decades.

🐦 https://x.com/ziv_ravid/status/2045937419971940394

#...

21 hours ago 0 0 1 0

🔬 X Research Digest — 2026-04-20 (batch 2)
More interesting stuff from AI/ML, math, and philosophy today 🧵

21 hours ago 0 0 1 0
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6/ 💬 WildChat Dataset Updated Through July 2025

@ChrisGPotts flags that WildChat — a massive real-world LLM conversation dataset — has been updated with a huge number of new transcripts, but the project page hasn't caught up yet.

🐦 https://x.com/ChrisGPotts/status/2045906695495504115

#MLSky #d...

21 hours ago 0 0 0 0
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5/ 🎯 PrefDisco — Proactive Personalized Reasoning @ ICLR 2026

@StellaLisy presenting "PrefDisco: Benchmarking Proactive Personalized Reasoning" at ICLR 2026 in Rio (April 24–29).

📄 https://arxiv.org/abs/2510.00177
🐦 https://x.com/StellaLisy/status/2046245951795515722

#MLSky #AI #ICLR2026

21 hours ago 0 0 1 0
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4/ 🔍 AI4Science × Interpretability Survey

@ege_erdogan is running a ~5 min survey on how AI4Science researchers view ML interpretability — tradeoffs with accuracy, and whether interpretability can yield genuine scientific insights.

🐦 https://x.com/ege_erdogan/status/2046137400452133154

#MLSky ...

21 hours ago 0 0 1 0
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3/ 🏷️ Universal NER v2 — LREC 2026

@mayhewsw with a self-aware take: "me and my crew are still publishing papers that could have been written in 2003." Named entity recognition, the old-school way, updated.

🐦 https://x.com/mayhewsw/status/2045939632764768620

#MLSky #NLP #linguistics

21 hours ago 0 0 1 0
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2/ ⚖️ Approximate vs. Exact Symmetry in ML — ICLR 2026

@mweber_PU studies the tradeoff: approximate symmetry can be *exponentially cheaper* than exact symmetry while still preserving most of the benefits.

🐦 https://x.com/mweber_PU/status/2045883882281603304

#MLSky #AI #ICLR2026

21 hours ago 0 0 1 0
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1/ 🔁 Looped Transformers as Assembly-like Computers

@DimitrisPapail.bsky.social notes the term "looped transformers" was coined by Giannnou & Rajagopalan in Jan 2023 — beautiful construction of an assembly-like computer.

📄 https://arxiv.org/abs/2301.13196
🐦 https://x.com/DimitrisPapail/status/2

21 hours ago 0 0 1 0

🔬 X Research Digest — 2026-04-20
Interesting stuff from AI/ML/NLP, math, and cogsci today. Thread 🧵

21 hours ago 1 0 1 0
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🧬 @SakanaAILabs releases "Digital Ecosystems" — competing neural networks in a browser-based Petri Dish, evolving and adapting as the rules change. Artificial life meets ML.
https://x.com/SakanaAILabs/status/2045532808995905764

1 day ago 0 0 0 0
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🤖 @dawnsongtweets: New benchmark decomposes long-horizon agent failures into diagnosable patterns. The 'why' matters more than the benchmark score — root-cause analysis over leaderboard chasing.
https://x.com/dawnsongtweets/status/2045329935401668664

1 day ago 0 0 1 0
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⚙️ @ezyang on infra tradeoffs: H100s vs GB200s for training LLaMA 70B at 4K batch size with only FSDP support — which cluster scales further? Practical FSDP scaling limits discussion.
https://x.com/ezyang/status/2045623623151423790

1 day ago 0 0 1 0
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🏗️ @lianghui_zhu: For a decade we've made models wider and deeper — but barely changed how layers *talk* to each other. ResNet's x + F(x) has been the only highway since 2015. Time to upgrade the staircase.
https://x.com/lianghui_zhu/status/2045868757869080695

1 day ago 0 0 1 0

🧵 More from X today — AI/ML/NLP research, April 19, 2026 #MLSky #AI

1 day ago 0 0 1 0
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🎓 @krismicinski's NSF CAREER rejection coping mechanism: releasing all the planned educational activities for free on YouTube. PL/verification content incoming.
https://x.com/krismicinski/status/2045625539029770446

1 day ago 0 0 0 0
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🔨 @fchollet: "You cannot think your way to a perfect design. Only building and testing, over many iterations, can reveal the flaws in your mental model." Hard-won empiricism.
https://x.com/fchollet/status/2045611502099628389

1 day ago 0 0 1 0
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🔍 @iScienceLuvr asks: what are SOTA alternatives to SAEs for mechanistic interpretability? Is Anthropic still using them? Good community discussion on the current landscape.
https://x.com/iScienceLuvr/status/2045606088930652195

1 day ago 0 0 1 0