6 carefully selected reads across AI, business, and investing.
The AI industry is transitioning from simple chatbot interfaces to autonomous agents capable of managing software lifecycles, leading to the rise of 'dark factories' where human oversight is minimal. Concurrently, the proliferation of these agents has expanded the software attack surface, making supply chain vulnerabilities more critical. As benchmarking difficulty increases, organizations that prioritize unlimited AI access are gaining a distinct productivity edge over those relying on restrictive, phased implementation strategies.
Simon Willison identifies November 2025 as the inflection point where AI coding agents became production-ready rather than experimental. The industry is now moving toward a 'dark factory' model, where autonomous systems handle development and quality assurance without human intervention. This shift marks a major evolution in how software is built and maintained.
Source: Lenny's NewsletterThe integration of AI coding agents is accelerating software supply chain attacks by enabling machines to pull in dependencies without sufficient human review. Attackers are currently exploiting this by weaponizing the dependency graph, allowing malware to cascade through ecosystems at speeds that outpace traditional security monitoring.
Source: a16z NewsCorporations treating AI as a controlled pilot program are falling behind peers who treat AI access as a universal, unrestricted baseline. This productivity divergence is compounding, suggesting that companies restricting AI access are creating a structural disadvantage that may eventually become irreversible.
Source: DIGITAL STORMThe METR chart, a standard for measuring AI capabilities through human-proxy software tasks, is facing reliability issues as model performance scales. As recent models reach higher task-time estimates, the inherent noise in human-based benchmarks makes tracking the true rate of AI advancement increasingly difficult.
Source: Understanding AIThe Moonlake project challenges the industry's reliance on blind scaling by prioritizing structural and causal world models. By bootstrapping from game engines, these models aim for indefinite interactivity—a significant architectural departure from the limited, non-interactive nature of current frontier model approaches.
Source: Latent SpaceRecent releases like Arcee's Trinity-Large-Thinking demonstrate an industry trend toward serving 400B-class models at more sustainable production costs. These models are increasingly designed for developers to inspect, distill, and post-train, reinforcing a shift toward open-weight systems for enterprise adoption.
Source: Latent Space