A State of AI page by Nathan Benaich of Air Street Capital, reviewed October 31, 2026, comparing separate estimates of AI adoption, spending and financial returns, and explaining who each source measured, when, and what it counted as adoption.
A KDnuggets guide by Vinod Chugani that goes round by round through current data science hiring processes, including AI-assisted coding rounds and generative AI evaluation questions, and lists ways candidates can prepare.
A Built In survey of job seekers on how AI tools shape which employers they find and consider. Among respondents who use AI for employer research, 66% say they applied to a company they had not considered and 53% say they decided not to apply somewhere because of what AI showed them. Built In sells employer branding services.
Artificial Analysis reports Muse Ember benchmark scores and task-cost estimates, including an Intelligence Index score of 36 and $0.14 per task in its evaluation. These are evaluator-specific results, not a verified Meta launch announcement or evidence of free model access.
Epoch AI explains an Inference Performance Index for estimating chip capacity across agentic workloads and output-speed requirements. Its modeled comparisons, expressed in GB300 equivalents, depend on workload and hardware assumptions and are not universal real-world performance guarantees.
OpenAI announces that organizations can purchase ChatGPT Enterprise through AWS Marketplace using existing procurement and billing arrangements. The announcement is freely readable; ChatGPT Enterprise is a paid service, not a free tool.