emschwartz's Likes

Competitors are telling you their strategy
jennywanger.com·2w·
Discuss: Hacker News
💰Revenue Models
How does intelligence relate to compression?
lewish.io·2w·
Discuss: Hacker News
🗜️Vector Compression
Claude Code: Game Changer or Just Hype?
cekrem.github.io·2w·
Discuss: Hacker News, r/neovim, r/node, r/programming, r/reactjs
🪄Prompt Engineering
Mushrooms communicate with each other using up to 50 'words', scientist claims
theguardian.com·2w·
Discuss: Hacker News
🍄Fungi
🎲 Lightweight Web Analytics with Liwan
blog.henrygressmann.de·2w
🛠️Solo SaaS Tools
★ Gurman Says New UI Is Named ‘Liquid Glass’ (and Makes a Terrible Analogy Regarding Apple’s Risk With Falling Behind on AI)
daringfireball.net·2w·
Discuss: Hacker News
📱New tech trends
uv just keeps on getting better
loopwerk.io·2w·
Discuss: Hacker News
Thank You, DataFusion: Queries in Rust, Without the Pain
pierrezemb.fr·3w·
Discuss: Lobsters, Hacker News
⚡DataFusion
How does vector dimension reduction work in new Qwen3 embedding models?
reddit.com·2w·
Discuss: r/LocalLLaMA
📊Embeddings
Mental Refactoring for the AI Age
zach.codes·2w·
Discuss: Hacker News
👨‍💻AI Coding
Rust For Foundational Software
corrode.dev·2w·
Discuss: Hacker News
🦀Rust
Minions "secure" is vibe coded vaporware
github.com·2w·
Discuss: Hacker News
🖥GPUs
Jepsen: TigerBeetle 0.16.11
jepsen.io·2w·
Discuss: Lobsters, Hacker News, r/programming
💧Litestream
Tokasaurus: An LLM Inference Engine for High-Throughput Workloads
scalingintelligence.stanford.edu·2w·
Discuss: Hacker News, r/LocalLLaMA
📊Model Serving Economics
Tokenization Confusion
blog.xpnsec.com·3w
🕳LLM Vulnerabilities
Fending off scrapers with Tigris and DuckDB
tigrisdata.com·4w
🧹Spam Filters
I Like Big Batches and I Cannot Lie: Tricks for Good Embeddings
nuss-and-bolts.com·3w·
Discuss: Hacker News
🧠LLM Inference
notes on renting a gpu
stpn.bearblog.dev·3w
🖥GPUs
Interfacing MCP with Combinatorial, Convex, and SMT Solvers
stephendiehl.com·3w·
Discuss: Lobsters, Hacker News
🧮SMT Solvers
On the Scaling of Robustness and Effectiveness in Dense Retrieval
arxiv.org·3w
🔗Hybrid Search