The article explores the subtle and often subconscious cues that distinguish human-generated text from AI-generated text, suggesting that "blink" moments—small errors or human-like inconsistencies—reveal our humanity in an age of increasingly fluent language models.
Background
- "Dynomight" is an anonymous blogger known for deep dives on tech, statistics, and human behavior. The "About" page jokes the author is "probably human" — a nod to this post's theme.
- The article argues that standard "prove you're human" tests (CAPTCHAs, reCAPTCHAs) are broken: bots now pass image tasks that annoy humans.
- Its core proposal is a "Blink CAPTCHA": a video shows something blinking in a specific rhythm, and you blink back. Humans mimic the pattern easily, but computer vision can't reliably detect and match blinking from a webcam feed — making it fast, cheap, and private.
- This sits in the long arms race between CAPTCHA designers and bot-makers. Google's reCAPTCHA v3 moved to invisible behavioral tracking (mouse movements, browsing history), raising privacy concerns. The Blink CAPTCHA is a thought experiment about whether a simple physical-mimicry task could beat bots without tracking users.
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.