Inkling: Thinking Machines' 1 Trillion Parameter Multimodal Open Model
Thinking Machines released Inkling, a ~1T-parameter open multimodal model with native image, text, and audio understanding, a 1M context window, and MTP…
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Thinking Machines released Inkling, a ~1T-parameter open multimodal model with native image, text, and audio understanding, a 1M context window, and MTP…
How an autonomous AI agent discovered 21 previously unknown vulnerabilities in FFmpeg — the media library inside almost everything that plays video.…
Deep-dive into Claude Fable 5 and Claude Mythos 5: Mythos-class architecture, safety classifier design, benchmark analysis vs Opus 4.8 / GPT-5.5 /…
Poolside's Laguna S 2.1 is a 118B-parameter MoE coding model with 8B active parameters, a 1M-token context, and thinking mode.…
VIDRAFT's Aether-7B-5Attn is a 100% open-source foundation model with five distinct attention mechanisms arranged on a Latin square.…
How to trace, evaluate, and monitor LLM applications in production — from prompt versioning and eval suites to cost tracking and drift detection.
Runtime monitoring and instrumentation for LLM applications — OpenTelemetry GenAI semantic conventions, streaming metrics, LLM gateway patterns, multi-…
A deep dive into the seven-layer AI agent stack emerging in 2026 — from perception and reasoning through MCP tool integration, memory tiers,…
Kimi K3 is the world's first open 3T-class model, built on Kimi Delta Attention and Attention Residuals, with a 1-million-token context window.…
Moderne's Prethink materialises compiler-accurate code quality metrics as in-repo files that AI coding agents can actually read.…
A comprehensive guide to creating interactive graph visualizations using Vis.js and Next.js 16, replacing WebGL-based libraries for better browser…
A comprehensive guide to building interactive knowledge graphs that enhance AI applications, improve retrieval accuracy, and provide better user…
A comprehensive guide to how AI agents discover, manage, and execute skills — from MCP tools and OpenAI function calling to LangChain's Deep Agents,…
A comprehensive deep dive into agentic AI — from the core concepts that define an agent, through the architecture patterns and protocol layer, to the…
Security startup Depthfirst's autonomous AI agent discovered 21 previously unknown vulnerabilities in FFmpeg for roughly $1,000 in compute — including a…
Microsoft's Agentic-Agile proposes a top-down methodology. But the open-source community has been running a radically different experiment — and the…
Building a multi-node DeepSeek V4 Flash inference cluster on DGX Spark with vLLM — from baseline 5.5 TPS to ~20 TPS through production-proven…
How I fixed a recurring OOM during model loading on a 2-node DGX Spark cluster running DeepSeek V4 Flash with vLLM — the physics of unified memory, page…
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