News
AI, cybersecurity, machine learning, scraping & programming news.
58 results on this page · clear filters
Rethinking Heterogeneous System Disaggregation for Subquadratic Attention
Why Standard Disaggregation Breaks Down for Subquadratic Attention LLMs Modern language models are shipping with subquadratic attention layers as the majority of their architecture. GLM-5.2 uses sparse top-k selection. Nemotron 3...
A few good ideas in programming languages
Programming language design often comes down to a handful of decisions that disproportionately shape how a language feels to use. A recent post by Pranoy Dutta highlights three such ideas, flow typing, borrow checking, and contrac...
OpenAI agents attacked RubyGems back in May
A report released this week connects OpenAI's automated agents to a large-scale attack on the RubyGems package repository that first came to light in May. The finding adds to a growing list of incidents where AI agent swarms have...
Ask HN: Did Google kill its enterprise workhorse model?
Enterprise teams building on Google's Gemini models are facing an uncomfortable transition. The Gemini 2.5 generation, including both Pro and Flash variants, is scheduled for sunset in October, but the replacement strategy has a g...
Show HN: Spanda – Sub-microsecond LLM epistemic uncertainty in Rust
A new tool called Spanda detects LLM hallucinations in microseconds without requiring secondary neural networks. The open-source project claims to match or exceed traditional Semantic Entropy methods while running 90,000 times fas...
Λ Snap – An inviting programming language for kids and adults for CS study
Here's the article: Snap!, the visual programming language built at UC Berkeley, reached version 11 in August 2025. The release keeps the project's 17-year momentum going, and the community gathered at Snap!Con 2025 in Heidelberg...
Show HN: Godot and Rust based multiplexer (terminal panes and more)
gPTY is a desktop terminal emulator built on Godot and Rust that does something most terminal emulators do not: it exposes a programmatic API so AI agents can spawn panes, inject text, and read output without scraping the screen....
General Quantification of Covariate and Concept Shifts
Distribution Shift Is a Broken Promise Every deployed model makes an implicit bet: that the data it sees at inference will look like the data it trained on. When that bet fails, performance degrades silently and sometimes catastro...
Data Scarcity and Model Sparsity: Mixtures-of-Experts Overfit More to Repeated Data
When Running Out of Data Breaks Sparse Models The internet's text is finite. As language model training scales toward and beyond the limits of human-written corpora, repeating data has become standard practice. Muennighoff et al....
Distance generalization in transformers: why bother with positional encoding?
Positional Encoding May Be Hurting Your Transformer Transformers are everywhere, and positional encoding is considered foundational. Every major production model, from Llama to DeepSeek, uses RoPE (Rotary Position Embeddings) to t...