Linus Gasser#C4DT_EPFL #WeeklyPicks Google startete schon im 2010 ein 'Vulnerability Reward Program', ein Bug-Bounty für alle Services von Google, das Belohnungen auszahlt, alleine 17 Millionen US-$ im 2025. Diese Prämie wurde über mehr als 700 Analysten verteilt, die Fehler fanden in Android, der Google Cloud, aber auch in verbreiteten und häufig gebrauchten Open Source Programmen und Bibliotheken.
Book NotificationVince is back with our #WeeklyPicks in time for your weekend reading!
𝗛𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘁𝘀 ✨
A Book You’ve Been Meaning To Read: The Underground Railroad by #ColsonWhitehead
The Engine House by #RhysDylan ( #DCIEvanWarlow Series)
How We Learn by #StanislasDehaene
The Cleaner by #MarkDawson ( #JohnMilton Series)
The Mothers by #BritBennett
Read all of Vince’s picks online at our site. 📚
🔗 Link in Comments #bookstodon
Vince is back with our #WeeklyPicks in time for your weekend reading!
𝗛𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘁𝘀 ✨
#NewYorkTimes Bestseller: The Devil’s Daughter by #DanielleSteel
The Last Thing He Told Me by #LauraDave
Midnight in the Garden of Good and Evil by #JohnBerendt
Read all of Vince’s picks online at our site. 📚
🔗 Link in Comments #bookstodon
Vince is back with our #WeeklyPicks in time for your weekend reading!
𝗛𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘁𝘀 ✨
Golden Buddha by #CliveCussler ( #TheOregonFiles)
The Music of Bees by #EileenGarvin
The Right Sort of Man by #AllisonMontclair ( #SparksandBainbridge)
🔗 Link in Comments 📚 #bookstodon #books
Carine DenglerThis thought-provoking article challenges the rationale behind the increasing integration of large language models (LLMs) into our daily workflows. Is it the result of thorough risk-benefit analyses or because of our growing normalization of the problems inherent in these systems and complacency towards the potentially disastrous consequences?
https://embracethered.com/blog/posts/2025/the-normalization-of-deviance-in-ai/
AI is often anthropomorphized, with terms like 'hallucinations' having entered technical jargon. All the more striking that when the capabilities of popular models today are discussed, 'intelligence' is reduced to one set of benchmarks or another, but seldom considered in a holistic way. I like this article for putting the human, and not the machine, back into the center of the discussion of what 'intelligence' in AI actually is (or isn't).
Un bon exemple comment créer la confiance avec les nouveaux outils comme les LLMs. Au CHUV, prof. Marie-Ann Hartley de l'EPFL, dirige un projet pour soutenir les médecins dans les prises en charge aux urgences. J'aime bien le projet très élaboré avec l'implication des médecins dans toutes les étapes. ça permet de tester l'outil pour des cas précis, avec une implication constante des personnes qui vont l'utiliser.
Two weights and two measures: if the EU fines Apple and Google over privacy concerns, there is a lot of critizism from the other side of the Atlantic. Now Texas does the same, with even heftier fines, and there seems to be no outcry. Personally I'm all for fining companies who abuse our private data, let's hope that this last fine from Texas encourages the EU to continue their good work in this domain!
https://apnews.com/article/texas-google-settlement-8097e181cc7cb8522781db8a9a897eea
Google will pay Texas $1.4B to settle claims the company collected users' data without permission
Google will pay $1.4 billion to Texas to settle claims the company collected data on users without permission. The state’s attorney general announced the settlement Friday. The agreement settles several claims Texas made against the search giant in 2022 related to geolocation, incognito searches and biometric data. The state argued Google was “unlawfully tracking and collecting users’ private data.” Google spokesperson José Castañeda said the agreement settles an array of “old claims,” some of which relate to product policies the company has already changed. Paxton said the $1.4 billion is the largest amount won by any state in a settlement with Google over this type of data-privacy violations.