Monthly Highlights
17131.
Building a Linearizable Log on Read Committed Isolation
(materialize.com)
17132.
Show HN: Axiom, a general-purpose model for causal discovery
(maxpagels.com)
17133.
You can't beat the market, but you can lose to it
(shakeddown.substack.com)
17135.
The AI boom's next bottleneck is money, not chips
(semafor.com)
17136.
Jev 1.14.0 is still bluffing on hard questions
(brussle.com)
17137.
17138.
17139.
HN Trends
(adriankrebs.ch)
17140.
LittleJS – JavaScript Game Engine for 2D and 3D Games
(littlejsengine.com)
17141.
UIMorph: One sentence to a clickable app, site, or game
(uimorph.com)
17142.
17143.
Building a GPU Compiler from Scratch
(kernelspace.substack.com)
17144.
Filing My Taxes for Free with AI
(robw.fyi)
17145.
Apertus 1.5 Technical Report
(apertus-ai.org)
17146.
The intricate sky art of Benjamin McDaniel and N1810R
(flightradar24.com)
17147.
17148.
Egg: Using egraphs to build program optimizers and synthesizers
(egraphs-good.github.io)
17149.
17150.
17151.
Vibe coding is so easy to start and difficult to get right
(daniel-payne-keldan-systems.medium.com)
17152.
TrovaTool
(trovatool.org)
17153.
Choosing a Chunking Strategy for Your LLM Apps: A Decision-Tree Approach
(machinelearningmastery.com)
17154.
Apache Subversion 1.15 released with "Pristines On Demand" feature
(news.apache.org)
17155.
Let's Build a Transformer in C#, One GPU Kernel at a Time
(andrewphunter.com)
17156.
17157.
C++26 Ranges: Four New Views
(sandordargo.com)
17158.
Hypotheses failures while training an LLM classifier
(hitl.systems)
17159.
Git Refs
(matklad.github.io)
17160.
Deobfuscating Luraph: Lifting Lua to LLVM, Then Letting AI Try
(nac-l.github.io)