Behavioral reads for leaders from what people write and how they write it
The article explores how leaders can gain behavioral insights from analyzing not just what their team members write, but also how they write it, including word choice, sentence structure, and communication patterns.
Background
- The site "Take the Mirror" is a new platform that offers behavioral analysis of leaders based on their written communication — analyzing not just what they say but how they say it (word choice, tone, phrasing patterns, etc.).
- The central premise: leaders' writing habits reveal psychological tendencies, decision-making styles, and potential blind spots that might not show up in traditional performance reviews or media coverage.
- This approach draws from fields like linguistic psychology, stylometry (quantitative analysis of writing style), and NLP (natural language processing), but aims the output at executives and managers as a coaching/self-awareness tool rather than at academics or security/intelligence analysts.
- It reflects a broader trend in leadership development of using data-driven tools (e.g., AI-powered feedback platforms, communication audits) to uncover subconscious patterns in how leaders think and communicate.
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.