Time as surprise

Sometimes, time comes as surprise. Time seems to run faster as we perceive it, or time might pass more slowly in actual terms than we perceive or think it does. What makes the difference? There is the objective measure of time with various types of clocks and watches versus the subjective or perceived lapse of time. The discrepancy between the two constitutes an interesting case for further study. Marketing strategies will try to make us believe that a specific kind of product will shorten or lengthen the difference between objective and subjective time. The entertainment industry works very hard on our perception of time relative to one or the other form of entertainment. The best result seems to be that objective time has been much longer than perceived time so that we “lost” our reference to time while being entertained. The so-called social media interaction is rather successful in this form of entertainment, infotainment or edutainment. The moments in life when time comes as a surprise might be great ones in our lives. Particular deviations between objective and subjective time make strong impressions on our memories, too. 

From AI to xAI

As humans, we like the feeling to be in control of things. This applies even to immaterial things like religious beliefs. Generative AI has created problems with its hidden structures and lack of transparency of their applications of algorithms (and combinations of algorithms) to basic data bases of knowledge and information. The use of xAI, which stands for explainable artificial intelligence, can address some of the concerns about the lack of transparency and explanation of responses from AI systems. Many users want to know in advance about the consequences of the use of specific words or notions in an instruction to AI. The interpretation of each single word by xAI can inform about the precision of interpretation (cheap versus cheapest, for example) or highlight the sensitivity to gender-neutral language or not in its guidelines. Additionally, ex post the xAI could indicate alternative notions in a prompt and, briefly, how this would affect results.
Yes, there is a trade-off between brevity of answer and room for explanations. As in psychology, there some value in a “thinking aloud” procedure for respondents in order to better understand (implicit) the reasoning behind a reply. xAI takes us a step further in this direction of asking AI to think aloud or more explicitly in a human compatible way of logic and broader reasoning.
Put AI on the psychotherapist’s bench and xAI will be to the advantage of many more humans again. Humans just don’t like black box systems that lack the necessary as well as sufficient transparency. (Image on the right: Patrick Jouin, chaise solide C2, MAD digital humanism).

Cannabis Alcohol

The use of cannabis and/or alcohol is yet another question where we are used to ask questions in the form of: either the or the other? Over generations we have gotten used to no longer ask for each do you or don’t you. With the controlled liberalization or legalization of cannabis in some Western European states the framing of the question is more like you do the one or the other, particularly for many younger persons.
Decriminalization of both drugs in small quantities is apparently reducing crimes link to drug use and drug dealing. On the other hand, the thresholds for doing drugs are lower than they used to be. In inner cities it is therefore no longer a surprise to find both kinds of drugs with addictive potential next to each other (see image below). We know that it is a slippery road from regular drug use to uncontrolled dependency and personal disaster. For cannabis a study published in the Lancet (Petrilli et al. 2022) added the importance of the potency of tetrahydrocannabinol to the estimate of risks. This is similar to the studies that differentiate the level of alcohol in drinks consumed. The higher the concentration, the higher the risks. A simple proportional relationship prevails in both drugs. The cumulative effects of consuming both together might have quite surprising non-linear effects.
The big issue is the risks of mental health related to these drugs. However, the causal direction is not easy to detect. Drugs induce mental health problems, but also mental health issues lead to drug abuse. This remains quite a puzzle for scientists to disentangle.
Additionally, the link to smoking and addiction to nicotine is a frequently observed corollary. Studying just one single source of health problems and addiction might be too restrictive to learn about the whole set of causal effects and casualties. For the time being we seem to jump from one field of attention to the next one ignoring the multiple interrelated factors at hand.