October
Links
- https://huggingface.co/datasets/Xaira-Therapeutics/X-Atlas-Orion X-Atlas - Perturb-seq atlas
- https://ut21.github.io/blog/triton.html “The G in GPU is for Graphics damnit!”: Adventures in Triton Kernels, Profiling, Parallelism and More
- https://signal.org/blog/spqr/ Signal Protocol and Post-Quantum Ratchets
- https://adamtornhill.com/articles/atari-vcs/programming-like-in-1977.html Programming like it's 1977: exploring the Atari VCS
- https://link.springer.com/book/10.1007/978-3-032-05644-3 An Evolutionary Story of Agency
- https://www.nature.com/articles/s41586-025-09466-1 Rate and noise in human amygdala drive increased exploration in aversive learning
- https://vitalik.eth.limo/general/2025/10/05/memory13.html Memory access is O(N^[1/3])
- https://www.readonlymemo.com/mame-hyper-neo-geo-support-sound-emulation/ After 2 decades of tinkering, MAME finally cracks the Hyper Neo Geo 64
- https://blog.cloudflare.com/how-we-found-a-bug-in-gos-arm64-compiler/ How we found a bug in Go's arm64 compiler
- https://marshallbrain.com/manna1 Manna – Two Views of Humanity’s Future – Chapter 1
- https://geohot.github.io/blog/jekyll/update/2025/10/06/always-been-at-war.html We have always been at war with Eastasia
- https://penntoday.upenn.edu/news/select-neurons-brainstem-may-hold-key-treating-chronic-pain A built-in ‘off switch’ to stop persistent pain
- https://burntsushi.net/transducers/ Index 1,600,000,000 Keys with Automata and Rust
- https://add-moo.github.io/ ADD - Physics-Based Motion Imitation with Adversarial Differential Discriminators
- Source: NIPS papers https://share.google/CWacNTGpYcZ7zsyL9 ALVINN: AN AUTONOMOUS LAND VEHICLE IN A NEURAL NETWORK
- https://en.wikipedia.org/wiki/Navlab Navlab
- https://en.wikipedia.org/wiki/Eureka_Prometheus_Project Eureka Prometheus Project
- https://discrete-distribution-networks.github.io/ Discrete Distribution Networks
- https://raymondtana.github.io/projects/pages/Lights_Out.html Lights Out
- http://www.proteindesign.org/ Possu Huang Lab
- https://micheleabasso7.wordpress.com/2025/10/10/from-monkey-brains-to-human-meaning/ From Monkey Brains to Human Meaning
- https://arxiv.org/abs/2509.01092 REFRAG: Rethinking RAG based Decoding
- https://buttondown.com/hillelwayne/archive/three-ways-formally-verified-code-can-go-wrong-in/ Three ways formally verified code can go wrong in practice
- https://www.nature.com/articles/s41583-025-00929-y Brain mechanisms underlying the inhibitory control of thought
- https://www.nature.com/articles/s41467-025-64152-0 Thalamus enables active dendritic coupling of inputs arriving at different cortical layers
- https://www.nasa.gov/space-flight-awareness/silver-snoopy-award/ Silver Snoopy Award
- https://alexzhang13.github.io/blog/2025/rlm/ Recursive Language Models
- https://mbreuss.github.io/blog_post_iclr_26_vla.html State of VLA Research at ICLR 2026
- https://www.novaspivack.com/science/introducing-lace-a-new-kind-of-cellular-automata Introducing LACE – A New Kind of Cellular Automata
- https://www.cell.com/neuron/fulltext/S0896-6273%2825%2900716-0 It’s not the thought that counts: Allostasis at the core of brain function
- https://www.worldlabs.ai/blog/rtfm RTFM: A Real-Time Frame Model
- https://generalrobots.substack.com/p/benjies-humanoid-olympic-games Benjie's Humanoid Olympic Games
- https://plasmidsaurus.com/ Plasmidsaurus - Sequencing as a Service
- https://press.asimov.com/articles/liver A Liver on Ice
- https://www.science.org/doi/10.1126/science.adr7403 Intercellular communication in the brain through a dendritic nanotubular network
- https://svpow.com/2024/09/07/were-not-going-to-run-out-of-new-anatomy-anytime-soon/ We’re not going to run out of new anatomy anytime soon
- https://www.liquid.ai/research/liquid-neural-networks-research From Liquid Neural Networks to Liquid Foundation Models
- https://www.e11.bio/ Scalable brain circuit mapping for transformative neuroscience
- https://www.biorxiv.org/content/10.1101/2025.09.26.678648v1.full Combinatorial protein barcodes enable self-correcting neuron tracing with nanoscale molecular context
- https://maxlangenkamp.substack.com/p/how-to-sequence-your-dna-for-2k How to sequence your DNA for <$2k
- https://cs.stanford.edu/people/karpathy/advice.html Doing well in your courses - a guide by Andrej Karpathy
- https://kk.org/thetechnium/you-are-not-late/ You Are Not Late
- https://howtoscalenn.github.io/ How To Scale
- https://nathan.rs/posts/roberta-diffusion/ BERT is just a Single Text Diffusion Step
- https://blog.abdellatif.io/production-rag-processing-5m-documents Production RAG: what I learned from processing 5M+ documents
- https://www.nejm.org/doi/full/10.1056/NEJMoa2501396 Subretinal Photovoltaic Implant to Restore Vision in Geographic Atrophy Due to AMD
- https://arxiv.org/abs/2104.07143 An Interpretability Illusion for BERT
- https://www.interconnects.ai/p/the-new-rl-scaling-laws How to scale RL
- https://arxiv.org/abs/2510.13786 The Art of Scaling Reinforcement Learning Compute for LLMs
- https://transformer-circuits.pub/2025/linebreaks/index.html When Models Manipulate Manifolds: The Geometry of a Counting Task
- https://jessylin.com/2025/10/20/continual-learning/ The Continual Learning Problem
- https://arxiv.org/abs/2510.15103 Continual Learning via Sparse Memory Finetuning
- https://www.cell.com/neuron/abstract/S0896-6273(25)00744-5 Working memory readout varies with frontal theta rhythms
- https://harrisoncramer.me/15-go-sublteties-you-may-not-already-know/ 15 Go Subtleties You May Not Already Know
- https://www.biorxiv.org/content/10.1101/2025.09.23.677709v1 A mechanistic theory of planning in prefrontal cortex
- https://github.com/lutzroeder/netron Netron - a viewer for neural network, deep learning and machine learning models
- https://whatisintelligence.antikythera.org/ What Is Intelligence? Lessons from AI About Evolution, Computing and Minds
- https://bsse.ethz.ch/qdb ETH Zürich - Quantitative Developmental Biology Lab
- https://www.quantamagazine.org/ai-is-nothing-like-a-brain-and-thats-ok-20250430/ AI Is Nothing Like a Brain, and That’s OK
- https://osf.io/preprints/thesiscommons/wehmg_v1?view_only= How To Build Conscious Machines
- https://www.0xkato.xyz/linux-boot/ The Linux Boot Process: From Power Button to Kernel
- https://elanapearl.github.io/blog/2025/the-bug-that-taught-me-pytorch/ the bug that taught me more about PyTorch than years of using it
- https://ritvik19.medium.com/ Ritvik Rastogi Blog
- https://arxiv.org/abs/2510.18212 A Definition of AGI
- https://www.modular.com/blog/democratizing-ai-compute-part-5-what-about-cuda-c-alternatives What about OpenCL and CUDA C++ alternatives? (Democratizing AI Compute, Part 5)
- https://www.modular.com/blog/democratizing-ai-compute-part-6-what-about-ai-compilers What about TVM, XLA, and AI compilers? (Democratizing AI Compute, Part 6)
- https://people.csail.mit.edu/jrk/halide12/ Decoupling Algorithms from Schedules for Easy Optimization of Image Processing Pipelines
- https://thinkingmachines.ai/blog/on-policy-distillation/ On-Policy Distillation
- https://boltz.bio/boltzgen Introducing BoltzGen: Toward Universal Binder Design
- https://www.nickdesnoyer.com/plant-engineering Flower Engineering Project
- https://www.nature.com/articles/s41586-025-09761-x Discovering state-of-the-art reinforcement learning algorithms
- https://mlg.eng.cam.ac.uk/blog/2024/01/20/flow-matching.html An Introduction to Flow Matching
- https://diffusionflow.github.io/ Diffusion Meets Flow Matching: Two Sides of the Same Coin
- https://github.com/aqlaboratory/openfold-3 OpenFold3-preview
- https://mesozoic-egg.github.io/tinygrad-notes/ Tutorials on Tinygrad
- https://pixelcraft.photo.blog/2022/05/03/the-human-visual-system-image-shape-and-binocular-vision/ The human visual system : image shape and binocular vision
- https://build.nvidia.com/openfold/openfold3/modelcard openfold3
- https://chanzuckerberg.com/newsroom/nvidia-partnership-virtual-cell-model/ CZI and NVIDIA Accelerate Virtual Cell Model Development for Scientific Discovery
- https://virtualcellmodels.cziscience.com/ We're building an integrated ecosystem for AI-powered biology
- https://huggingface.co/spaces/HuggingFaceTB/smol-training-playbook The Smol Training Playbook: The Secrets to Building World-Class LLMs
- https://www.anthropic.com/research/introspection Signs of introspection in large language models
- https://www.nature.com/articles/s41586-025-09690-9 Sensory expectations shape neural population dynamics in motor circuits
- https://arxiv.org/abs/2510.19788 Benchmarking World-Model Learning