Government-Gated AI: Who Decides What Models You Can Run
The BIS has turned frontier model deployment into a licensed activity, and the Anthropic Mythos and GPT-5.6 arcs show the new rules of access.
Evidence-first analysis of agentic systems, model evaluation, and the economics of AI software. We read the system card, find the primary source, and tell you what actually changed — and what didn't.
The gap between demo and production is the harness you build around the model, not the model you license.
Pillar guide → 02 · Search & GEOSearch is becoming synthesis. If ChatGPT, Perplexity, and Google's AI Overviews don't cite you, you're invisible, and…
Pillar guide → 03 · Agents & HarnessesExecution loops, externalized state, and verification gates now matter more than raw model IQ. Here's how the agents…
Pillar guide → 04 · AI ToolsFrontier labs now ship more AI-written code than human-written code, but the viral ROI numbers are wrong. Here is the…
Pillar guide →
AI ToolsClaude Code hid a deployment fingerprint in invisible Unicode. Here's how to audit any coding agent's prompt yourself in about 20 lines of Python.
Models & ReleasesRouting across a pool of frontier models is a credible architecture bet in 2026, but its production wins are still unproven. Here's how to interrogate them.
Models & ReleasesEighteen days of outage turned a coding model into an eschatology. Here's what the saga actually revealed about who controls frontier AI.
Search & GEOYour robots.txt says allow, but Cloudflare's edge decides first. Here's how to audit the config that quietly governs your AI citations.
AI ToolsAfter a 18-day government suspension, Anthropic's Mythos-class model returns July 1. Here's exactly what it enables over Opus 4.8 and GPT-5.5, and how to wield it.
AI FrontiersAnthropic shipped a science workbench with no new model. The product is the reviewer agent that audits its own citations, numbers, and figures.
AI FrontiersAnthropic put Opus-class agentic coding at roughly 60% less, but a new tokenizer and a strict cyber filter quietly shrink the discount.
AI FrontiersMeituan open-sourced a near-frontier agentic coding model trained on a 50,000-chip domestic cluster. Here's what's verified and what to do with it.
AI ToolsMeta's curb on Claude Code and Codex is a model-distillation and training-data-contamination problem, and it changes how any fine-tuning team must govern AI coding tools.
AI FrontiersMeta's non-invasive decoder jumped to 61% word accuracy by treating an LLM as the denoiser. The hardware is still a half-ton lab.
AI FrontiersA federal arson case just made AI conversation transcripts admissible in court, and that changes what every company must do about AI governance.
Agents & HarnessesThe latency gap is narrowing, but the workflow, not the benchmark, picks the architecture.
The gap between demo and production is the harness you build around the model, not the…
Explore →Search is becoming synthesis. If ChatGPT, Perplexity, and Google's AI Overviews don't cite…
Explore →Execution loops, externalized state, and verification gates now matter more than raw model…
Explore →Frontier labs now ship more AI-written code than human-written code, but the viral ROI…
Explore →Why static leaderboards lost authority, and how to build an eval program that survives…
Explore →Why the context window, not the prompt, is the real bottleneck, and how to engineer…
Explore →Why indirect prompt injection, tool-mediated exfiltration, and rogue agents now define LLM…
Explore →How the open-weight cluster closed the gap, why reasoning became the default, and which of…
Explore →A practitioner's map of frontier AI in mid-2026, where independent measurement finally…
Explore →