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Insights on AI, machine learning, and technology strategy

OpenAI's Codex 5.4 spent six hours reverse engineering a DOS game from a compiled binary — no source code, no docs. The implications for small businesses sitting on undocumented legacy software are significant.

Andrej Karpathy's autoresearch project reduces an entire AI research organization to three files — and the only one a human ever touches is a markdown document. Here's what that actually means.

The Supermetrics 2026 Marketing Data Report reveals a stunning execution gap: nearly every marketing team is being pushed toward AI by leadership, but almost none have integrated it. Here's what's actually blocking adoption—and what the 6% did differently.

OpenAI's GPT-5.4 improved SWE-Bench Pro by less than one point. Its OSWorld computer-use score jumped 27.7 points. That asymmetry tells you exactly where the model's value actually lives.

Anthropic’s Claude Marketplace lets enterprises apply existing Anthropic commitments to partner tools. Here’s the practical procurement playbook small and mid-sized businesses can use right now.

Claude Code’s agentic workflow now supports scheduled task patterns in Claude Desktop’s Cowork preview, giving small teams a practical way to automate repeatable reporting and ops work on local machines.

The DOD just designated Anthropic a supply chain risk — cloud vendors are holding the line, but IT buyers with Claude baked into workflows face exposure they haven't mapped yet. Plus: GPT-5.4 arrives with native computer use and a sub-three-month model cycle that rewrites how you budget AI.

OpenAI introduced Codex Security for application security workflows and a Codex program for open-source maintainers. Here’s the practical playbook for small businesses deciding where to test it first.

Claude Opus 4.6 uncovered 22 Firefox vulnerabilities in a two-week collaboration with Mozilla, including 14 high-severity issues. This is the clearest proof yet that AI-assisted red teaming is now a production security advantage.

Anthropic’s new labor-market data shows a wide gap between what AI can do and what teams actually automate. For ops leads at 20–50 person firms, this memo breaks down when automation beats headcount and where hiring still wins.

Citadel Securities published Indeed hiring data that breaks the AI-kills-engineers narrative. Anthropic's own labor study confirms it from the opposite direction. The actual picture is more useful—and more unsettling—than either panic or reassurance.

A migration-risk map of this week's model releases, from drop-in upgrades to high-friction rewrites, with concrete staffing, tooling, and infra decisions.
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