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When we look around in our field, everyone in Tech seems to focus on one thing: "How can we adopt AI in our tooling and in our processes?"
So it is a proof of a bubble. Everyone is enthusiasts but it doesn't solve real use cases.
A rightful question can be: "How can we set up our engineers for long-term career success?"
Jens Meiert ask pertinent questions to solve this big up question.
What can be done reasonably well with AI today? (And tomorrow? And the day after tomorrow?)
How are our engineers affected by AI?
- Are our engineers using AI?
- How are our engineers using AI?
- What are realistic expectations for our engineers in terms of AI use and proficiency?
- Are we setting clear expectations for use of and proficiency with AI in our job descriptions as well?
- Do we document and anchor these expectations in our competency and skill matrixes?
- Are we watching the AI market, and are we evaluating tooling?
- While the AI market is in flux—which it may be for some time—, do we have enough flexibility (budget, processes, room for errors) to test AI tooling?
- If our engineers leave the company, would they find a new job—or would their profile make them less interesting?
- If they would not necessarily find a new job, what extra skills and experience do they need?
- How can we make our engineers ready for the AI age?
As you can tell, we cannot have all those answers yet—this is precisely why this is so important to get on top of, and it’s also the reason why I say “start answering.”
Les spécialistes du secteur soulignent que les outils d'IA automatisent les tâches routinières telles que le codage, la saisie de données et les tests logiciels de base, qui servaient autrefois de terrain d'entraînement pour les nouveaux arrivants.
Ou bien il y a un ralentissement de la croissance des travails numériques en Inde.
Il n'empêche que remplacer le travail de développeur par l'IA actuellement est irresponsable:
- les juniors ne seront plus formés, et ne deviendront plus seniors
- l'IA n'a pas encore les capacités suffisante afin de remplacer les développeurs
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If, given the prompt, AI does the job perfectly on first or second iteration — fine. Otherwise, stop refining the prompt. Go write some code, then get back to the AI. You'll get much better results.
Sur les abonnements Free, Plus et Pro entre mai 2024 et juin 2025 et selon les chercheurs d'OpenAI, la part non liée au travail est passée, pendant cette période, de 53 % à 73 %.
Ces chiffres sont cependant à nuancer, car certains peuvent transférer leurs activités personnelles vers des comptes liés à des abonnements Business. Il n'y a aussi aucune données de personnes mineures.
Le chatbot est plus utilisé pour des guides pratiques, la recherche d'information, l'écriture. D'autres usages sont cependant listés (cf: Les "conseils pratiques", première utilisation du chatbot)
Les chercheurs ont catégorisé les utilisations en 3: "asking", "doing" et "expressing".
"Asking" rassemble tous les prompts cherchant des informations sur un sujet, « doing » ceux où l'utilisateur demande à ChatGPT d'effectuer une tâche, et « expressing » rassemble le reste.
A bunch of Raspberry Pi are not optimal to run an AI cluster. A Framework computer crunch the numbers compared to the PIs
The result of the AI simulation matches the data of the Baryon Oscillation Spectroscopic Survey
The neural network Effort.jl https://github.com/CosmologicalEmulators
The project use the Julia programming language.
The authors share more insights in an interview https://phys.org/news/2025-09-universe-faster-accuracy.html
When AI is rightly used and coupled to real physic, it boost the science!
The group leave Spotify.
and the paper about it: https://interestingengineering.com/military/next-gen-ai-end-invisible-submarines.
Meanwhile they increase their detection: https://thequantuminsider.com/2025/04/27/china-tests-drone-mounted-quantum-sensor-that-could-reshape-submarine-detection/. Note this work only under stable and controlled conditions.
The #USA are also building something able to detect submarines at 6km https://thequantuminsider.com/2025/04/27/china-tests-drone-mounted-quantum-sensor-that-could-reshape-submarine-detection/
C'est immense
"Les chercheurs ont découvert que la confiance dans l'IA diminue à mesure que les gens acquièrent des connaissances dans ce domaine."
"L'euphorie de l'IA se heurte à la réalité économique : personne ne paie la facture. Des rapports récents font état de flux de trésorerie négatifs, procès à répétition et absence de modèle économique viable. La promesse d'un retour sur investissement est encore théorique."
Source: https://journals.sagepub.com/doi/10.1177/00222429251314491
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Data4 sign a 12 year supply deal with EDF
40NW skcue if EDF's atomic-powered grid from next year. The first to sign a Nuclear Production Allocation Contract.
Data4n is understood to have at least 1.5 GW of instrastructure.
It*s not altruistic because many companies start to demand data to comply with regulations such as the CSRD.
A 1.4 GW site is built from a venture formed by Nvidia, Mistral AI, the French national investment bank and the United Arab Emirates (UAE) investment´t fund MG. It should be online by 2028.
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ou un autre article de Marianne https://www.marianne.net/politique/julie-martinez-porte-parole-du-ps-qui-travaille-chez-la-concurrence-au-detriment-de-la-france
About the push of Copilot on GitHub without opt-out
Garbage security reports are generated and it floods the cURL project.