🚀 Spring Boot 4 tip: Jackson 3 brings JsonMapper as the preferred way to read JSON! Notice the new import. No more ObjectMapper from com.fasterxml! JsonMapper is now your go-to for JSON operations in modern Spring apps.
LES LLM NE SONT PAS FAITS POUR FAIRE DES MATHS.
ILS SONT INCAPABLES DE DISTINGUER LE VRAI DU FAUX, LE RÉEL DE L'IMAGINAIRE.
TOUT CELA N'A AUCUN SENS POUR UN LLM.
C'EST UN MODÈLE STATISTIQUE QUI RÉDIGE DU TEXTE SELON CE QUIL ESTIME LE PLUS PROBABLE ÊTRE LA RÉPONSE QUE VOUS ATTENDEZ.
C'EST. TOUT.
It's so pleasant to be able to scroll on here and not endure a barrage of targeted ads 😵💫
Les arnaques aux péages en flux libre (comme l'A13) sont en route ...
Maintenant qu’on en parle…
IntelliJ IDEA 2025.1 is out! Highlights include:
⚡️ A major upgrade for JetBrains AI
☕️ Java 24 support
😎 K2 mode by default
📔 Kotlin notebooks for everyone
👀 Control over watch evaluators
Learn more at our What’s New page 👇
www.jetbrains.com/idea/whatsnew/
Dependencies in Java projects are like garden weeds - they multiply quickly if not managed. In enterprise development, we need to prune regularly to prevent duplicate libraries, security risks, and version conflicts that can block Java upgrades. Keep your dependency garden tended! #Java
[𝗕𝗟𝗢𝗚] Too many messages, and not enough time?
@lostinbrittany.bsky.social, our DevRel is present in over 90 Slacks. Impossible for him to keep up with all the discussions...
📝 Find out how he automated summaries of key conversations: www.clever-cloud.com/blog/enginee...
its amazing how chatgpt knows everything about subjects I know nothing about, but is wrong like 40% of the time in things im an expert on. not going to think about this any further
Tweet by Gisele Navarro @ichbinGisele "“Collectively, the AI search engines provided incorrect answers to more than 60% of queries.” ~ @CJR Screenoshot of an image showing "Generative search tools were often confidently wrong in our study" showing baplots of different offerings like ChatGPT, Perplexity and Deepseek, and showing the percentage of wrong answers in red and right ones in green.
Lets replace search with "AI" then! Totally logical if you ask me. Even more worth it when you know they're exponentially overtaking the airline industry in their carbon footprint.
Study: www.cjr.org/tow_center/w...
#LangChain4j 1.0.0-beta2 has been released! 🎉
github.com/langchain4j/...
We've added an initial Dev UI support to #quarkus MCP server 1.0.0.Beta5 - there's no need to start a separate MCP client to test your features!
Je serai disponible en avril pour de nouvelles missions.
Je suis ouvert aux postes de SRE / ingénieur plateforme, architecte solutions ou encore développeur Java / GO / Python dans les systèmes distribués.
Voici mon CV, n'hésitez pas à me contacter : www.ineumann.fr/docs/cv
Merci
NOTE: kaniko is not an officially supported Google product
🚨Pour celles et ceux qui utilisent #kaniko pour build des images de conteneurs dans les pipelines de CICD : il n'est plus maintenu par Google.
Il y a une issue pour qu'ils rejoignent la CNCF en sandbox mais rien n'est encore fait.
#SQL Noir - A Detective SQL Game in your browser
Hey 👋. It remains less than 48h for the CFP of @forkit.community, the international developers conference, which will happened in Tunis 🇹🇳 in the amazing city of culture: www.forkit.community/events/2025-... to submit your proposal: conference-hall.io/fork-it-comm...
Pride Versioning
Finally, a good alternative for Semantic Versioning!
J’ai l’impression qu’il y a un paragraphe en français qui est en doublon avec un autre en anglais.
Slowness and liquibase errors.
If you use Liquibase with postgresql take care of the driver upgrade to version 42.7.5. It's what happens if you upgrade from @spring.io Boot 3.3.7 to 3.3.8
github.com/spring-proje...
github.com/liquibase/li...
github.com/pgjdbc/pgjdb...
“Torrenting from a corporate laptop doesn’t feel right”: Meta emails unsealed
A photo of Aaron Swartz (1986-2013) when he was 19.
Last month, Meta admitted to torrenting a controversial large dataset known as LibGen, which includes tens of millions of pirated books. But details around the torrenting were murky until yesterday, when Meta's unredacted emails were made public for the first time. The new evidence showed that Meta torrented "at least 81.7 terabytes of data across multiple shadow libraries through the site Anna’s Archive, including at least 35.7 terabytes of data from Z-Library and LibGen," the authors' court filing said. And "Meta also previously torrented 80.6 terabytes of data from LibGen."
Meta illegaly downloaded 80+ terabytes of books from LibGen, Anna's Archive, and Z-library to train their AI models.
In 2010, Aaron Swartz downloaded only 70 GBs of articles from JSTOR (0.0875% of Meta). Faced $1 million in fine and 35 years in jail. Took his own life in 2013.
Je le reblousque pour pas oublier.
On cherche un SRE chez Clever Cloud pour bosser sur l’optimisation et l’opération d’Apache Pulsar (150K msg/s write, 300K msg/s read, 100k topics). Pas besoin de connaître Pulsar, Kafka ou autre techno de streaming suffit !
fr.indeed.com/job/site-rel...
I really enjoy using just.systems for handling my repetitive tasks when working on a project, with the most common commands I run all the time. A bit like a makefile, but better.
A hard drive labeled "BAD" in sharpie
The hard drive has "BAD" scribbled out
A sharpie writing "bitcoins" on a hard drive
The same hard drive thrown into the trash
Remember to spread a little joy, even if it will be fleeting
Ok so… There’s a nice little park on a corner, and a path running directly to one edge of the park. That’s the first image, but there’s 12 other images here. In the second image, there is now a desire path running diagonally across the park. Next image, the path has been blocked by a park bench that the council has put in as a deterrent. Unfazed, in image 4 the path now deftly avoids the park bench. In images 5 and 6 the process is repeated, this time with a strategically placed bin which the desire path also avoids. Presumably in a fit of rage, the council plants an entire hedge to stop people creating new desire paths but eventually this too is defeated and a new path find a way. Finally, the council admits defeat and turns the desire path into a proper paved pathway. After a little while, a new desire path curving off this new paved pathway begins to emerge…
A little comic about desire paths.
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The future of AI is whatever makes them the most money.
How different teams interact....
How does an organization forget?
