A developer reflects on ten years since launching a website, noting how terms and conditions pages have evolved in complexity and length over that decade, driven by changing legal requirements and business practices.
Background
- Henry Chamberlain is a long-time software engineer and writer who has been reflecting on the evolution of the web's legal infrastructure. His blog, henryach.com, hosts personal essays on tech and internet culture.
- "Terms and conditions" (T&C) are the legally binding contracts that govern how users interact with websites and apps — nearly everyone clicks "agree" without reading them.
- This piece marks ten years since Chamberlain first wrote about T&C, tracing how these documents have ballooned in length, become more opaque, and shifted from simple liability disclaimers into tools for data extraction, arbitration clauses, and unilateral platform control.
- The context matters because T&C now shape everything from privacy rights to who owns user-generated content, yet most people have no real choice but to accept them — a phenomenon sometimes called "contract of adhesion."
- The essay is part of a broader ongoing conversation (e.g., work by the late Aaron Swartz, EFF, and researchers like Woodrow Hartzog) about whether the current notice-and-consent regime is fundamentally broken.
Max Weinbach says he had early access to OpenAI's new model GPT-5.6 Sol, calling it his favorite model by far. He highlights that it never gives up and will keep reasoning until it's done. OpenAI announced that GPT-5.6 Sol, along with Terra and Luna, will launch publicly on Thursday, with preview access expanding globally now.
The US government ordered Anthropic to suspend access to its Fable 5 and Mythos 5 models for all customers, citing a potential jailbreak technique that involved asking the model to review a codebase for vulnerabilities—a capability Anthropic says is available in other public models. Access was abruptly cut off on June 12.
Andrej Karpathy announces the release of Claude Fable 5, the same underlying model as Mythos but with added safeguards. He calls it a major step forward, particularly for long problem-solving sessions on difficult tasks, and describes it as state-of-the-art on nearly all benchmarks with exceptional performance in software engineering, research, and vision.
Roman Storm warns that the legal theory in his case could set a precedent making open-source developers liable for how others use their code, potentially criminalizing the mere publication of privacy, messaging, or crypto tools. He notes that developer Michael Lewellen cannot publish lawful code due to prosecution fears, and argues this chilling effect extends beyond any single case.
Meta's engineering culture is deteriorating under Mark Zuckerberg and Scale AI CEO Alexandr Wang, who have introduced keyboard tracking, reassignments to data labeling, and AI-centric performance metrics. Critics argue this incentivizes performative AI use, drives away experienced engineers, and contributed to a major Instagram hijacking incident caused by AI-written and AI-reviewed code.