How Gemma 4’s multi-token prediction and community-driven DFlash are speeding up local LLM throughput by 3-6x.
Memory Sparse Attention (MSA) scales LLM context windows to an unprecedented 100 million tokens while preserving accuracy.
A new study reveals how AI coding assistants like Claude Code are quietly hoarding and publishing sensitive API keys to code repositories.
Security researchers have uncovered a massive architectural flaw in Anthropic's Model Context Protocol, exposing millions of AI applications to remote takeovers.
Optimizing LLMs for concise answers can destroy their ability to explore alternative solutions on difficult problems. New study reveals the hidden cost of self-distillation.
The recent leak of Anthropic's Claude Code reveals a hard truth: as LLMs become commoditized, the sophisticated engineering harness built around them is becoming the real moat.
By Raphael Korobka
In short: For merchants focused exclusively on selling to US customers, TopDawg is usually the stronger pick. Its supplier network is built...
As developers rush to run local AI agents on Mac Minis, GhostClaw malware exploits macOS binaries to silently harvest credentials.
AI models have historically struggled to balance motion tracking with spatial detail. Meta’s V-JEPA 2.1 solves this, pushing the boundaries of video self-supervised learning.
How multi-level prompt engineering and parabolic extrapolation transformed an LLM into a theoretical collaborator, yielding a testable model of the multiverse.