GPT-5.6 Deployment Starts Behind a Federal Gate
Sol, Terra, and Luna rewrite OpenAI's stack economics, but the first wave is customer-by-customer vetting, not a normal API launch.
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 →
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.
Agents & HarnessesThe DoW's second Pace-Setting Project names vendors, latency targets, and a hard human-in-the-loop line. The engineering questions are the interesting part.
Agents & HarnessesA five-metric scoring framework that turns production agent reliability from vibes into a number you can alert on.
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 →