The July 2026 "Ask HN: How is hiring?" thread asks recruiters whether AI is improving their ATS pipeline with quality candidates, or if bot-generated ghost applications are making it impossible to identify real applicants—or a mix of both.
Background
- ATS (Applicant Tracking System) is the software employers use to manage job applications — it's where résumés land, get parsed, and are sorted or filtered, often automatically.
- "Ghost job applications" refers to the growing problem where candidates use AI tools (e.g., auto-fill bots or LLM-based résumé generators) to submit hundreds of tailored applications with minimal effort, drowning recruiters in volume and making it hard to tell real candidates from "noise."
- "Script kiddies" is slang for low-skill people who use pre-made scripts or tools — here, it means applicants who rely on automation rather than genuine effort.
- This Ask HN post reflects a pain point that has intensified as AI tools become cheap and easy: companies can't trust their own hiring pipeline, and candidates can't trust that human eyes will ever see their application. The question is asking the HN community whether AI is helping or wrecking recruitment in mid-2026.
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.