AI use in SaaS tools bypasses security controls, creating shadow integrations and real breach risks.

“Vaping and dabbing were most common among young adults aged 18–24 years. Trends in both of these routes of use have increased among adolescents and young adults.”
How does the average U.S. adult consume marijuana? This is what a recent report published by the Centers for Disease Control and Prevention (CDC) hopes to address as a team of CDC researchers investigated the range of cannabis products that are used by U.S. adults and which products are used more than others. This report has the potential to help scientists, legislators, and the public better understand cannabis use throughout the United States and develop educational and preventive measures for its use.
The report states, “As the availability and types of cannabis products expand, less is known about how persons consume cannabis. Historically, cannabis has most often been smoked; however, additional routes of use are available, including oral ingestion, vaping, and more recently, dabbing (i.e., inhalation of highly concentrated THC-based oils often heated using a blowtorch).”
For the study, the researchers conducted a survey of 138,625 participants to identify how both the frequency and method of cannabis use and broken up into several age groups. In the end, they found that 14,044 (15.3%) used cannabis with 6,848 (7.9%) using it daily. They found that 79.4% smoked cannabis while eating, vaping, and dabbing comprised 41.6%, 30.3%, and 14.6%, respectively. Additionally, 29.3% of non-Hispanic American Indian or Alaska Native (AI/AN) individuals were found to participate in dabbing, along with 23% of individuals without a high school diploma.
Gödel’s incompleteness theorem is used by both advocates and adversaries of strong AI to show that computers can(not) perform the same feats as humans. This article extends the construction through which Gödel proved his theorem, in order to allow a broader interpretation, showing that neither side has exploited its arguments to the fullest extend, and that the evidence can never be conclusive.
Dr.ir. C.J.B. Jongeneel & prof.dr. H. Koppelaar, Delft University of Technology, Faculty of Technical Mathematics and Informatics, Section of Knowledge Based Systems.
1 Introduction