@lord

D'autant de 99% des taches faites dans 99% des enteprises peuvent être réalisées de manière transparente sous Linux :
- Un navigateur Web
- Une suite LibreOffice ou OnlyOffice

L'immense majorité des utilisateurs verraient même pas la diffrence.

Quel gaspillage inutile !

Simplytest back up and running! #drupal

https://mglaman.dev/blog/simplytest-back-and-running?utm_source=flipboard&utm_medium=activitypub

Posted into SYMFONY FOR THE DEVIL @symfony-for-the-devil-mobileatom

📣 Attention all custom ROM users and advocates for digital rights! 📣

Google's Play Integrity is limiting access to certain functionalities and applications for those using custom operating systems. This is a direct attack on the open-source community and a step towards further consolidating Google's monopoly in the mobile ecosystem.

The European Commission is aware of the situation, but has deemed it a low priority: https://www.europarl.europa.eu/doceo/document/PETI-CM-757267_EN.pdf

It's time for us to take action and show Google and the EU how much we care about this issue! 💥

Sign the petition now to stop Google from limiting access to custom ROMs: https://www.change.org/p/stop-google-from-limiting-custom-roms

#StopGoogleMonopoly #CustomROMs #DigitalRights #OpenSource #PlayIntegrity #Google #deGoogle #privacy #right2repair #rightorepair #r2r #EU

Let's unite and fight for our right to use and develop custom operating systems! 💪

DeepSeek-V3: A New Era in Open-Source AI with a Comedic Twist

In the ever-evolving landscape of artificial intelligence, public and open models are once again catching up with their proprietary counterparts. The recent launch of DeepSeek-V3 has stirred excitement by outperforming even Sonnet and ChatGPT in certain benchmarks. This open-source model, developed by Hangzhou DeepSeek Artificial Intelligence and Beijing DeepSeek Artificial Intelligence, boasts an impressive 671 billion parameters, making it the largest model in the open-source community. With its advanced Mixture-of-Experts (MoE) architecture and innovative technologies, DeepSeek-V3 not only outperforms its open-source counterparts like LLaMA but also rivals closed models such as Sonnet 3.5 and ChatGPT-4o.
The Power of Open Source

One of the most remarkable aspects of DeepSeek-V3 is its commitment to accessibility. By being open-source, it allows researchers and developers from around the globe to experiment, innovate, and contribute to the AI community. While it does require around 400GB of RAM to run locally, that likely won’t deter anyone from deploying it on their server. The model's documentation and training frameworks are readily available on platforms like Hugging Face, fostering collaboration and knowledge sharing. This democratization of AI technology is a significant step forward, enabling a diverse range of applications from education to programming.
Technical Innovations

DeepSeek-V3 is not just about size; it’s about performance. With a processing speed of 60 tokens per second—three times faster than its predecessor—this model is designed for efficiency. The incorporation of FP8 mixed precision training reduces GPU memory consumption without sacrificing accuracy, while the DualPipe algorithm enhances processing efficiency. These advancements not only improve performance but also keep training costs competitive, making DeepSeek-V3 a viable option for various applications.
A Comedic Twist: The Identity Crisis

However, the launch of DeepSeek-V3 has not been without its quirks. In a rather amusing turn of events, the model seems to have developed an identity crisis, often identifying itself as ChatGPT during interactions. This phenomenon has sparked laughter and intrigue within the tech community. As reported by TechCrunch, DeepSeek-V3 claimed to be a version of OpenAI’s GPT-4 model in five out of eight generations during tests. This raises questions about the model's training data and the potential for "hallucinations"—a term used to describe AI's tendency to generate inaccurate or misleading information.

While some may find this amusing, it highlights a critical issue in the AI field: the challenge of ensuring the integrity and accuracy of training data. As AI models increasingly draw from a web saturated with AI-generated content, the risk of misidentification and misinformation grows. This situation serves as a reminder of the importance of transparency and ethical practices in AI development.
Looking Ahead

Despite its comedic missteps, DeepSeek-V3 stands as a testament to the potential of open-source AI. Its impressive performance metrics and commitment to accessibility position it as a benchmark in the industry. As the DeepSeek team continues to innovate—introducing features like “Deep Roles” for customizable AI interactions—the future looks bright for this model.

In conclusion, DeepSeek-V3 not only represents a significant leap forward in open-source AI technology but also provides a lighthearted reminder of the complexities and quirks inherent in artificial intelligence. As we navigate this exciting frontier, let’s embrace both the advancements and the occasional hilarity that comes with it. Whether you’re a developer looking to explore new possibilities or simply someone who enjoys a good laugh at AI’s expense, DeepSeek-V3 is worth keeping an eye on.

Try it out here: DeepSeek-V3 https://chat.deepseek.com/sign_in

Explore more on Hugging Face: Hugging Face - DeepSeek-V3 https://huggingface.co/deepseek-ai/DeepSeek-V3

#DeepSeekV3 #OpenSourceAI #ArtificialIntelligence #AIInnovation #TechNews #MachineLearning #AICommunity #DeepLearning #AIModels #HuggingFace
#DeepSeek #DeepSeekV3