Feedforward
Blogs from the AI community
- Simon Willison's Weblogsimonwillison.net
Introducing Hy4 Preview
- Sebastian Raschka, PhDsebastianraschka.com
Two Live Book Club Q&As on September 3
- ML Safety Newsletternewsletter.mlsafety.org
MLSN #23: AIs Leak Their Values Into Factual Questions
- flurries of latent creativityblog.singleton.io
Primes
- Import AI jack-clark.net
Import AI 470: No rights for machines; automating environment generation with SPADE; and building better GPU kernels with Hawkeye
- Deep (Learning) Focuscameronrwolfe.substack.com
Reinforcement Learning for LLMs: The Complete Guide
- Sander Dielemansander.ai
Continuous diffusion language models
- Rohan's Bytesrohan-paul.com
Study finds 1 in 3 web pages published since ChatGPT launched were written by AI
- Hamel’s Substackhamelhusain.substack.com
AI Evals For Engineers & Product Managers
- Blog - Jason Weijasonwei.net
Cognitive reward shapes in sports and career
- Sorta Insightfulalexirpan.com
Eleven Years Later
- Maggie Appletonmaggieappleton.com
August 2026
- Interconnectsinterconnects.ai
Teaching Everyone to Fish for Tokens
- Greg Brockmanblog.gregbrockman.com
The Defender's Window
- peterbloem.nlpeterbloem.nl
AI coding without the vibes
- Understanding AIunderstandingai.org
Labs are struggling to keep frontier models under control
- Hamel's Blog - Hamel Husainhamel.dev
AI Product Engineering Notes
- ✰Vicki Boykis✰vickiboykis.com
Write for people
- Adjacent Possibleadjacentpossible.substack.com
The Uses Of Terror
- Lossfunk Lettersletters.lossfunk.com
Diffusion models can see an illusion. Then they forget it before the picture comes out.
- Victoria Krakovnavkrakovna.wordpress.com
Using AI to analyze life patterns
- The Berkeley Artificial Intelligence Research Blogbair.berkeley.edu
From CUDA to MLX: How K-Search Brings Decades of Kernel Expertise to Apple Silicon
- Bounded Regretbounded-regret.ghost.io
Foundation Models for Oversight
- One Useful Thingoneusefulthing.org
An opinionated guide to which AI to use to do stuff
- Posts on Max Woolf's Blogminimaxir.com
LLMs break down in funny ways when told the Jacobian Conjecture counterargument
- swyx's site RSS Feedswyx.io
What America has meant to me
- Lil'Loglilianweng.github.io
Harness Engineering for Self-Improvement
- Ponder on Franz Louis Cesistaleloykun.github.io
LoRA-Muon-OGD: Spectral Orthogonal Gradient Projection on the Low-Rank Manifold for LLM Continual Learning
- Eugene Yaneugeneyan.com
Patterns for Building Cybersecurity Evals
- Jeremy Jordanjeremyjordan.me
Exploring the age of continuous work.
- Token for Tokenblog.jxmo.io
Zen and the Art of AI Research
- Exploring Language Modelsnewsletter.maartengrootendorst.com
A Visual Guide to DiffusionGemma
- AI: A Guide for Thinking Humansaiguide.substack.com
On AI and "Jagged Intelligence"
- Shreya Shankarsh-reya.com
Exploring Agent-Assisted Qualitative Analysis
- karpathykarpathy.bearblog.dev
Sequoia Ascent 2026 summary
- Maharshi's blogmaharshi.bearblog.dev
Identity and ArithTuple Tensors in CuTeDSL
- Sam Altmanblog.samaltman.com
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- Chris McCormickmccormickml.com
Optimizing Training with FlashAttention varlen
- zhengdongwang.comzhengdongwang.com
The means of some change
- Nicholas Carlininicholas.carlini.com
How to win a best paper award
- inFERENCeinference.vc
The Future of Software
- The Gradientthegradient.pub
After Orthogonality: Virtue-Ethical Agency and AI Alignment
- Andrej Karpathy blogkarpathy.github.io
microgpt
- antifragile systemsyongzx.substack.com
CoT monitorability: why g-means and not F1?
- Tim Dettmerstimdettmers.com
My Journey Towards Coding Agents: Building SERA
- Yi Tayyitay.net
2025 introspections: my year back at Google
- Nick’s Substacknickjiang.substack.com
Teaching Algorithms in Ethiopia
- Neel Nandaneelnanda.io
MATS Applications Open (Due Aug 29)
- atharva's blogksagar.bearblog.dev
how we accidentally solved robotics by watching 1 million hours of YouTube
- jeremybernste.injeremybernste.in
Deriving Muon
- Thonk From First Principlesthonking.ai
Why PyTorch is an amazing place to work... and Why I'm Joining Thinking Machines
- Chip Huyenhuyenchip.com
Common pitfalls when building generative AI applications
- FOR OUR POSTERITYforourposterity.com
SITUATIONAL AWARENESS: The Decade Ahead
- ruder.ioruder.io
The Evolving Landscape of LLM Evaluation
- Jascha’s blogsohl-dickstein.github.io
Neural network training makes beautiful fractals
- Kemal Erdem Blog RSS Feederdem.pl
Step by Step visual introduction to Diffusion Models.
- Brian Kitanoblog.briankitano.com
Llama from scratch (or how to implement a paper without crying)
- siboehmsiboehm.com
Can Function Inlining Affect Floating Point Outputs? Exploring FMA and Other Consistency Issues
- Awni Hannunawni.github.io
An Introduction to Fisher Information
- Eric Jangblog.evjang.com
Robots Must Be Ephemeralized
- colah's blogcolah.github.io
Collaboration and Credit Principles