The Library Method: Understanding @cache
dev.to·22h·
Discuss: DEV
λFunctional Programming
BQN "Macros" with •Decompose (2023)
saltysylvi.github.io·1h·
Discuss: Hacker News
λFunctional Programming
Trillion-Scale Goldbach Verification on Consumer Hardware -novel Algorithm [pdf]
zenodo.org·23h·
Discuss: Hacker News
⚡Hardware Acceleration
AsyncSpade: Efficient Test-Time Scaling with Asynchronous Sparse Decoding
arxiv.org·19h
⚡Tokio
TRIM: Token-wise Attention-Derived Saliency for Data-Efficient Instruction Tuning
arxiv.org·1d
💻Local LLMs
MetaGraph: Scalable annotated de Bruijn graphs for DNA indexing and alignment
github.com·1d·
Discuss: Hacker News
🍄Mycelium Networks
Printing Petscii Faster
retrogamecoders.com·59m·
Discuss: Hacker News
📝editors
Leveraging Normalizing Flows for Conservative 6D Beam Reconstruction: Conclusions and Extensions
hackernoon.com·2d
🏗️AI Infrastructure
Evaluating Gemini 2.5 Deep Think's math capabilities
epoch.ai·9h·
Discuss: Hacker News
🏗️AI Infrastructure
We Benchmarked DuckDB, SQLite, and Pandas on 1M Rows: Here’s What Happened
kdnuggets.com·9h
🗃️Embedded Databases
You Can't Mock Reality: Testing a 3D Rendering Pipeline in Blender
medium.com·1d·
Discuss: Hacker News
☁️Serverless Rust
The Trillion Dollar AI Software Development Stack
a16z.com·2h·
Discuss: Hacker News
🧩Low-code
Why We Need SIMD
parallelprogrammer.substack.com·4d·
Discuss: Substack, r/programming
🧩RISC-V
Real-Time Adaptive Sparsity Optimization for Edge-Deployed AI Inference Accelerators
dev.to·13h·
Discuss: DEV
🏗️AI Infrastructure
Evolution Strategies at Scale: LLM Fine-Tuning Beyond Reinforcement Learning
arxiviq.substack.com·1d·
Discuss: Substack
🏗️AI Infrastructure
Automated Parameter Calibration in Physics-Based Robot Simulation via Bayesian Optimization
dev.to·22h·
Discuss: DEV
🏗️AI Infrastructure
Randomized and quantum approximate matrix multiplication
arxiv.org·19h
🛡️Byzantine Consensus
Building a Streaming Data Pipeline with Kafka and Spark: Real-Time Analytics Implementation Guide
dev.to·14h·
Discuss: DEV
🌊Event Streaming
When Python can't thread: a deep-dive into the GIL's impact
pythonspeed.com·12h·
Discuss: Hacker News
⚡Tokio
Enhancing Synthetic Data Generation via Adaptive Kernel Density Estimation with Bayesian Optimization
dev.to·1d·
Discuss: DEV
⏱️Time-series Optimization