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Inline vs. Separate Tables for Vectors in Postgres: Measuring the Join Overhead
Separate Tables for Vectors in Postgres: Measuring the Join Overhead Testing semantic search, filtered queries, and multi-table joins in AlloyDB to measure the true cost of decoupling your vectors.
10 min · 2,296 words
Is Meta’s Muse secretly running an OpenAI model?
Is Meta’s Muse secretly running an OpenAI model? I found a model labeled azure/muse-special while Muse was building my website.
4 min · 870 words
I Look, if you are still stuck on “AI cannot really think, it’s just a stochastic parrot”, please snap out of it and lock in, or you’ll keep repeating that line until you find yourself sitting in the corner chair, watching as ChatGPT™ has sex with your wife.
8 min · 1,856 words
LLM Policies: Progress At All Costs
Diego Escalante argues that GNOME and KDE LLM-policy debates are really about whether open-source communities will accept “progress at all costs,” and what values get traded away when AI tooling is waved through.
4 min · 1,003 words
On Ezra Klein’s Podcast With Jensen Huang
Zvi Mowshowitz annotates Ezra Klein’s interview with Jensen Huang: Huang downplays existential risk as “just software,” yet endorses safety standards that would shut down OpenAI and 10x safety spending.
33 min · 7,619 words
V-JEPA: Learning Video Representations by Feature Prediction
A hands-on walkthrough of Meta’s V-JEPA: video tubelets, feature prediction, pretrained encoder features, temporal tests, and a small action-classification experiment.
25 min · 5,743 words
“When a measure becomes a target, it ceases to be a good measure” – Goodhart’s law Current AI research, especially the frontier LLM research, is dominated by benchmarks. It is the first thing we look at when a new model comes out, it is the headline of each release, and they dominate the discourse when […]
13 min · 2,940 words
CS 240 Spring 2026 AI Retrospective
Purdue CS 240 instructor Jeffrey Turkstra reflects on Spring 2026 AI-assisted cheating cases: what went wrong in enforcement, what students actually did, and how academic integrity policy should change.
17 min · 3,997 words
Burke Holland argues chat isn’t always the right interface for AI-assisted development, and walks through canvases as a more tangible UI for building with GitHub Copilot.
5 min · 1,250 words
A founder who built a desktop coding app around AI planning explains why plan mode collapsed as models got better at figuring out what to do while they work—and what replaces it.
9 min · 2,033 words
Which AI is the most annoying? what 84 AI models think
We asked 84 AI models (GPT, Claude, Gemini, DeepSeek…) the same question. 12% picked Grok Edginess. See every answer and who dissented.
11 min · 2,455 words
DraftKings Is Using AI to Supercharge the Harms of Online Behavioral Advertising
EFF argues DraftKings' use of betting data and ML to re-engage losing gamblers shows why all online behavioral advertising—not just third-party data sharing—should be banned.
3 min · 609 words
How to win a beer with high-dimensional statistics
Jamie Simon explains a viral high-dimensional statistics paper with a bar-bet framing: why naive intuition about data geometry fails, and how the right summary wins the round.
4 min · 827 words
Kate Broughton connects OpenAI’s misalignment disclosures to how we form children and machines—what constitutions, staged evaluation, and “following” might mean for raising capable systems.
10 min · 2,240 words
Evolving programming languages in the AI era
José Valim’s reflections on how programming languages, ecosystems, and agentic tooling may evolve when humans are no longer writing most of the code.
9 min · 1,980 words
We’re gonna need a lot more mathematicians
[This is a guest post by Amit Sahai. This blog post was initially written in a different file format and converted using AI. — T.]
6 min · 1,318 words
Artificial symbiotic intelligence: Agents, AGI and the orchestration of many minds
DeepMind Institute essay arguing AGI may emerge from societies of cooperating agents, tools, and humans—shifting the problem from building one mind to orchestrating many.
10 min · 2,268 words
AI labs need to start funding historical research
Res Obscura argues frontier labs should fund historical scholarship, using alchemical correspondence and early modern sources as a case for AI-assisted discovery.
14 min · 3,217 words
Ed Zitron's AI prediction track record
Dan Luu audits Ed Zitron’s AI commentary against outcomes: which predictions held, which missed, and how to read media AI takes more carefully.
46 min · 10,673 words
Behind Project Suncatcher, our moonshot to put AI in space
Google Research outlines Project Suncatcher: a moonshot exploring solar-powered ML infrastructure in space, and the engineering facts behind the idea.
4 min · 846 words