Subquadratic is a frontier AI research and infrastructure company building a new class of LLMs.
Introducing SubQ: The First Fully Subquadratic LLM
Subquadratic is a frontier AI research and infrastructure company building a new class of LLMs.
Introducing SubQ 1.1 Small
Subquadratic is a frontier AI research and infrastructure company building a new class of LLMs.
Infer Vancouver: AI Engineering Meetup
Vancouver's meetup for tactics, techniques, and lessons learned in LLM and AI engineering.
State of AI 2025: 100T Token LLM Usage Study | OpenRouter
Read OpenRouter's 2025 State of AI report — an empirical 100 trillion token study of real LLM usage, model trends, and developer insights.
Lincoln Michel on Twitter / X
This was my read on AI from the beginning and it proved very true. Whatever hypothetical benefits LLMs have (and they have some), their main use is to waste everyone's time wading through slop. Longer colleague powerpoints. More spam emails. More slop clogging up all the systems. https://t.co/2gtGfqf7KF— Lincoln Michel (@TheLincoln) September 21, 2026
LukeW | Rethinking Networking for the AI/ML Era
In her AI Speaker Series presentation at Sutter Hill Ventures, Google Distinguished Engineer Nandita Dukkipati explained how AI/ML workloads have completely bro...
Brandon Stewart on Twitter / X
1/ New @Nature! We study how powerful institutions shape the information environment for LLMs. Commercial LLM training is opaque, so we trace a path from state-coordinated media -> training data -> model responses. pic.twitter.com/5LdFvzbFaf— Brandon Stewart (@b_m_stewart) May 13, 2026
Arguments in Favor of AI Fair Use
I made some notes on the nature of the training of LLMs, and about whether we as a society should consider the material used to train them as a fair use of that material.
One year as an AI Engineer: The 5 biggest misconceptions about LLM reliability I've encountered
535 votes, 59 comments. After spending a year building evaluation frameworks and debugging production LLM systems, I've noticed the same…
LLM Knowledge Bases
A visual breakdown of Andrej Karpathy's approach to building personal knowledge bases powered by LLMs. Learn the 4-phase pipeline: ingest, compile, query, and maintain - with an interactive architecture diagram.
ImportAI 449: LLMs training other LLMs; 72B distributed training run; computer vision is harder than generative text
Will AI cause a political interregnum
Dan Shipper 📧 on Twitter / X
this is true and is a big reason why you don’t need to be a highly technical researcher to use LLMs in surprising and novel ways https://t.co/TuxNzXzToU— Dan Shipper 📧 (@danshipper) July 27, 2025
The Ultimate Guide to Fine-Tuning LLMs from Basics to Breakthroughs: An Exhaustive Review of Technologies, Research, Best Practices, Applied Research Challenges and Opportunities (Version 1.0)
AI for mass deliberation and bridge-building
How AI (LLMs, bridging-based ranking, Polis) is used to involve many people in deliberation and synthesize common-ground statements: Israeli-Palestinian peacebuilding, Taiwan's vTaiwan/Polis, and the Habermas Machine.
Generative AI for Pro-Democracy Platforms · From Novel Chemicals to Opera
The levers of political persuasion with conversational artificial intelligence
How large language models can reshape collective intelligence
Democracy as a Scaled Collective Intelligence Process: Points of Vulnerability and Augmentation
Bridging Voting and Deliberation with Algorithms: Field Insights from vTaiwan and Kultur Komitee
vTaiwan