Independent analysis, benchmarks, and field intelligence on AI models, chips, computing, and defence systems.
OpenAI has paused new sign-ups and upgrades for the $200/mo ChatGPT Pro tier as power users leveraging the 20X token capacity multiplier on GPT-6 Astra burn through 15M to 30M reasoning tokens per month, creating up to a -$1,240/month deficit per seat.
A technical audit of Anthropic’s Claude Code vulnerabilities CVE-2026-21852 and CVE-2025-59536. We dissect pre-trust Base URL credential exfiltration, SessionStart hook code execution, Linux plaintext token leakage, and introduce a 4-tier eBPF zero-trust isolation blueprint.
An exhaustive architectural audit comparing Qualcomm’s Snapdragon 8 Elite Hexagon NPU against Apple’s A20 Pro 32-core Neural Engine running on-device INT8 Vision-Language Models (MiniCPM-V 2.6, Llama 3.2-Vision, and Qwen2-VL).
An empirical systems audit of HNSW vs. IVF-PQ indexing across 100 million 1536-dimensional vectors. Benchmarking Qdrant, OpenSearch, Milvus, and Faiss on RAM footprint, Recall@10, QPS throughput, and NVMe disk-spilling economics.
Technical benchmark audit of DeepSWE v1.1 by Aditi Sharma. Debunking git reflog leaks and test tampering, while exposing how 166-turn Test-Time Compute subsidizes 74% Pass@1 rates.
Within eight days in early September 2026, DeepSeek-V4.1-Flash and Gemini 3.8 Flash toppled previous-generation $90/M-token flagship models on DeepSWE v1.1. Here is the forensic engineering breakdown: 890-byte KV cache, CED topology, RLVR benchmaxxing, and real-world agent TCO.
At 11:40 AM on September 10, 2026, DeepSeek dropped what may be the most consequential architectural disruption of the post-transformer…
Executive Systems Briefing On September 8, 2026, Qualcomm Technologies and Amazon Web Services formalized a multi-generational silicon pact carrying a…
A forensic systems audit of DeepSeek Harness CVE-2026-82533: how a CVSS 9.4 Host-header spoofing flaw enables autonomous agent sandbox escapes, audited against DeepSeek’s $75B STAR Market IPO rush and US distillation crackdowns.
An architectural teardown of Apple’s A20 Pro 2nm GAAFET silicon: testing the 32-core Neural Engine, 65.2 GB/s memory bandwidth wall, copper vapor chamber thermals, and iOS Jetsam limits running 3B to 7B LLMs on-device.
