The September 2026 Ghost Jobs Report reveals that 28.3% of job postings remain open for over 90 days, indicating potential stagnation in the job market. Hospitality jobs linger the longest, while healthcare roles are filled quickly. Analyzing trends across various sectors and applicant tracking systems offers key insights.

ForensicDbg is an innovative post-mortem debugger tailored for Windows, enabling quick bug identification in x86 and x64 crash dumps. Currently in private Beta, it boasts a user-friendly interface, AI integration for enhanced analysis, and comprehensive features for efficient debugging, all designed to streamline your development process.

Online opt-in polls face challenges from bogus respondents who provide dishonest answers for quick rewards. A Pew Research Center study evaluates three methods to weed out these respondents—trap questions, automated prescreening, and matching to voter files. Results show some improvements in data quality, but no foolproof solution exists.

Waymo is launching a transit rewards program in the San Francisco Bay Area that offers riders Waymo Cash for linking their rides with public transit using Visa cards. This initiative aims to enhance multimodal travel and streamline commutes, with plans for future expansion to additional cities.

Mercury 2.5 is a reasonably priced reasoning model that delivers fast outputs and supports text input and output. While it scores below average on the Artificial Analysis Intelligence Index, its pricing and speed make it a competitive option in its class.

This article introduces iCoder, a 27 billion parameter model that pushes the boundaries of AI-led coding development. By minimizing human involvement and leveraging recursive self-improvement, iCoder achieves significant performance gains in RTL design and GPU optimizations, showcasing a pivotal step towards fully autonomous AI development.

MARETopic introduces a new approach to topic modeling, focusing on rank-based prototype selection. By projecting embeddings onto a low-dimensional manifold, this method improves document representation and coherence without the need for training. It outperforms traditional neural and clustering models on key metrics while being more efficient.

Albireo is an adaptive inference framework designed to enhance video object detection on edge devices while minimizing energy consumption. By intelligently skipping frame processing based on scene analysis, it maintains detection accuracy while reducing energy use significantly, outperforming traditional fixed-frame methods.