How to preserve the type inference
preview.redd.it·11h·
Discuss: r/typescript
🧩Types
Somg
songgenerator.io·1h·
Discuss: r/LocalLLaMA
🗜️Zstd
STM32H735 OCTOSPI quirks
serd.es·20h
🔐Hardware Security
IVE、7/30(水)リリースJAPAN 3rd EP『Be Alright』からタイトル曲のミュージック・ビデオを公開
news.jp·20h
🎯Vector Quantization
On Curve Steepeners, Subway Surfers, and the Polycrisis of Confidence
paulkedrosky.com·18h
💰Money and Power
Show HN: Dashport.ai – AI-Powered BI Tool for Professional Dashboards
dashport.ai·21h·
Discuss: Hacker News
🦆DuckDB
Cross-lingual Few-shot Learning for Persian Sentiment Analysis with Incremental Adaptation
arxiv.org·7h
🎛️Feed Filtering
AI Wizards at CheckThat! 2025: Enhancing Transformer-Based Embeddings with Sentiment for Subjectivity Detection in News Articles
arxiv.org·7h
🔍Information Retrieval
Embrace AI, Optimize Later
pub.towardsai.net·21h
📊Model Serving Economics
Intra-view and Inter-view Correlation Guided Multi-view Novel Class Discovery
arxiv.org·7h
📊Embeddings
Reaction to the PlanetScale PostgreSQL Benchmarks
xata.io·16h·
Discuss: Lobsters, Hacker News
📊Database Benchmarking
Good binding data is all you need
leashbio.substack.com·11h·
Discuss: Substack
🕯️Candle
Explaining information architecture to a 6-year-old and an 82-year-old
littlelanguagemodels.com·18h·
Discuss: Hacker News
👥UX Research
Remote Code Execution Discovered in XTool AnyScan App: Risks to Phones and Vehicles
nowsecure.com·23h·
Discuss: Hacker News
🔐Hardware Security
Toxicity-Aware Few-Shot Prompting for Low-Resource Singlish Translation
arxiv.org·7h
🛡️AI Safety
Ongoing genome doubling shapes evolvability and immunity in ovarian cancer
nature.com·19h
📇Vector Indexing
Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis
arxiv.org·7h
🔍Information Retrieval
Environment near breast cancer tumors may hold key information for prognosis
medicalxpress.com·17h
📊Vector Databases
Show HN: Explainer/docs for GGUF quantization (unofficial)
github.com·19h·
Discuss: Hacker News
🧠LLM Inference
Physics-Informed Linear Model (PILM): Analytical Representations and Application to Crustal Strain Rate Estimation
arxiv.org·7h
📊Embeddings