Guild Education

New Jockeys' Guild Education Foundation gives riders a path to formal education - MSN

MSN

Opera Guild, Neiman Marcus fashion show benefits music education - Daily Republic

Daily Republic

Show HN: Codex context bloat? 87% avg reduction on SWE-bench Verified traces

If you had to build a context window manager in 24h, would you stick to the existing model or come up with something better?<p>Here&#x27;s what I did:<p>1. Built a proxy that intercepts Codex&#x27;s calls to OpenAI and rewrites them on the fly.<p>2. Replayed 3,807 rounds of SWE-bench Verified traces through it: avg prompt 44k → 6k tokens (-87%).<p>3. Posted it to HN to get the next reduction applied to my confidence interval — starting with the inevitable &quot;How about accuracy?&quot;<p>npx -y

Show HN: Cardcast.gg – Play paper Magic: The Gathering over webcam

I&#x27;ve been building <a href="https:&#x2F;&#x2F;cardcast.gg" rel="nofollow">https:&#x2F;&#x2F;cardcast.gg</a>, a web app for playing paper Magic: The Gathering remotely. You point a webcam at your play area and it identifies cards as you put them down. It&#x27;s an alternative to Spelltable that I built for my friend group to play weekly with.<p>The main technical difference is detection. Spelltable uses perceptual hashing; cardcast uses modern ViT backbones so it&#x27;s much faster and more

Show HN: MemReader: From Passive to Active Extraction for Long-Term Agent Memory

Long-term memory is fundamental for personalized and autonomous agents, yet populating it remains a bottleneck. Existing systems treat memory extraction as a one-shot, passive transcription from context to structured entries, which struggles with noisy dialogue, missing references, and cross-turn dependencies, leading to memory pollution, low-value writes, and inconsistency. In this paper, we introduce the MemReader family for active long-term memory extraction in agent systems: MemReader-0.6B,