Technical coverage and peer-reviewed analysis classified under Research.
A curated empirical benchmark report comparing OpenAI’s GPT-6 Astra and Anthropic’s Claude Fable 5.1. Details side-by-side evaluations across SWE-bench Verified, FrontierMath Tier 4, GPQA Diamond, OSWorld agent navigation, 1.5M token context retrieval, and developer API economics.
A comprehensive technical report on Meta’s autonomous personal AI agent, Muse. Analyzes background execution powered by Muse Spark, user-isolated Secure VM sandboxes, the Sentinel oversight system, financial human-in-the-loop gates, WhatsApp orchestration, and local inference with Muse Glimmer on NVIDIA.
A technical analysis of OpenAI’s ChatGPT Images 2.5. Covers the 50% generation latency reduction, Flare and Sunburst API architectures, Arena.ai No. 1 placement, sketch-to-image conditioning, localized comment-based inpainting, character consistency in sequential frames, and production API pricing.
A technical analysis of DeepSeek V4.1 Flash (deepseek-v4.1-flash). Covers Multi-Head Latent Attention v2, fine-grained MoE routing, 64.8% on SWE-bench Verified, native multimodal vision tokens, $0.07/1M cached input pricing, NVIDIA NIM deployment, and OpenAI/Vercel AI Gateway code integration.
When will Artificial General Intelligence arrive? A technical evaluation of ARC-AGI-3 saturation, FrontierMath benchmarks, recursive self-improvement loops, and compute scaling limits from OpenAI, DeepMind, and Meta.
A technical analysis of Meta’s Muse Spark 1.3 (xhigh and max tiers). Covers Artificial Analysis Intelligence Index scores of 61-62, 75.4% on DeepSWE 1.1, 98.5% long-context retrieval, 20% reduction in agent tool calls, and Meta Model API pricing at $1.25 per million input tokens.
A technical analysis of OpenAI’s GPT-6 Astra, released on September 4, 2026. Covers the 1,050,000-token context window, 97.6% FrontierMath score, 99.9% ARC-AGI-3 adapter result, recurrent depth reasoning, and complete developer API pricing.
A comprehensive, first-principles architectural report on Google DeepMind’s flagship Gemini 3.7 Flash. Explore how unified test-time compute, controllable thinking budgets, and native agentic tool execution ended the compromise between sub-second latency and frontier reasoning.