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Best of links

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#45 - Subjectivités
#45 - Subjectivités
Chatbots, une adoption sans impacts Dans sa dernière newsletter, Algorithm Watch revient sur une étude danoise qui a observé les effets des chatbots sur le travail auprès de 25 000 travailleurs provenant de 11 professions différentes où des chatbots sont couramment utilisés (développeurs, journalistes, professionnels RH, enseignants…). Si ces travailleurs ont noté que travailler avec les chatbots leur permettait de gagner du temps, d’améliorer la qualité de leur travail, le gain de temps s’est avéré modeste, représentant seulement 2,8% du total des heures de travail. La question des gains de productivité de l’IA générative dépend pour l’instant beaucoup des études réalisées, des tâches et des outils. Les gains de temps varient certes un peu selon les profils de postes (plus élevés pour les professions du marketing (6,8%) que pour les enseignants (0,2%)), mais ils restent bien modestes.”Sans flux de travail modifiés ni incitations supplémentaires, la plupart des effets positifs sont vains”.  Algorithm Watch se demande si les chatbots ne sont pas des outils de travail improductifs. Il semblerait plutôt que, comme toute transformation, elle nécessite surtout des adaptations organisationnelles ad hoc pour en développer les effets.
·dacgi.r.sp1-brevo.net·
#45 - Subjectivités
Being Lost To Be Found
Being Lost To Be Found
My work has been very disjointed today, which has been frustrating. Whilst I’ve had plenty of time, and plenty of energy, I’ve struggled to focus on any single thing, and the ideas have been elusiv…
·julianstodd.wordpress.com·
Being Lost To Be Found
Black Swans & Cranberry Sauce: A Thanksgiving Tale
Black Swans & Cranberry Sauce: A Thanksgiving Tale
As we gather for Thanksgiving, I wanted to share a story about how an agricultural crisis led to one of marketing's greatest pivots — and what it tells us about the changing rules of success. In November 1959, America stopped eating cranberries. The government alerted the public to avoid the fruit
·drorpoleg.com·
Black Swans & Cranberry Sauce: A Thanksgiving Tale
Building AI products — Benedict Evans
Building AI products — Benedict Evans
How do we build mass-market products that change the world around a technology that gets things ‘wrong’? What does wrong mean, and how is that useful?
·ben-evans.com·
Building AI products — Benedict Evans
Tools for better thinking
Tools for better thinking
Collection of thinking tools and frameworks to help you solve problems, make decisions and understand systems.
·untools.co·
Tools for better thinking
Yancey Strickler
Yancey Strickler
Cofounder of Metalabel, Kickstarter, and The Creative Independent. Author of This Could Be Our Future and The Dark Forest Anthology of the Internet.
·ystrickler.com·
Yancey Strickler
Comment calculer (vraiment) l'impact carbone de ChatGPT ?
Comment calculer (vraiment) l'impact carbone de ChatGPT ?
Quelle est la consommation d'une requête sur ChatGPT ? Combien de CO2 est émis pour générer une image avec une IA ? J'ai compilé toutes les données concrètesà disposition pour mieux cerner les enjeux et les usages.
Tu trouveras le guide ici
·generationia.flint.media·
Comment calculer (vraiment) l'impact carbone de ChatGPT ?
Fix the internet by writing good stuff and being nice to people
Fix the internet by writing good stuff and being nice to people
Today’s internet is mean. It’s hard to pinpoint exactly when everyone online became a jerk, but to me it seems that the tipping point occurred right when making money off content started being worth more than the content itself. I wrote the following post before the election but never got around to publishing it. Now, it seems more necessary than ever. from http://www.boweryboyshistory.com/ One Times Square used to be the headquarters of the New York Times in the early 1900s.
·vickiboykis.com·
Fix the internet by writing good stuff and being nice to people
AI startups: Sell work, not software
AI startups: Sell work, not software
For the past 25 years, application software startups have had a singular focus: increasing company and employee (including developer) productivity. This looked like building software that increased productivity at the employee level, increased collaboration across employees and teams, and/or enabled better oversight and management at the leadership level. More often than not, this software has been priced on a per seat basis, in essence benchmarked against the cost of the headcount itself and increasing that headcount’s productivity.
·sarahtavel.com·
AI startups: Sell work, not software