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eicker.TV ▹ Technews<p>🧩 <a href="https://mastodon.social/tags/Llama4Maverick" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Llama4Maverick</span></a> nutzt 128 Experten für deutlich mehr Rechenleistung und schlägt sogar <a href="https://mastodon.social/tags/GPT4o" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>GPT4o</span></a> und <a href="https://mastodon.social/tags/Gemini20" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Gemini20</span></a> in Benchmarks – bei nur der Hälfte der aktiven Parameter von <a href="https://mastodon.social/tags/DeepSeekv3" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DeepSeekv3</span></a>.</p><p>🎓 Beide <a href="https://mastodon.social/tags/KIModelle" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>KIModelle</span></a> wurden mithilfe des riesigen Lehrmodells <a href="https://mastodon.social/tags/Llama4" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Llama4</span></a> Behemoth trainiert, das mit 288 Milliarden aktiven Parametern zu den leistungsstärksten weltweit zählt.</p><p>👉 <a href="https://eicker.TV" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">eicker.TV</span><span class="invisible"></span></a> <a href="https://mastodon.social/tags/Technik" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Technik</span></a> <a href="https://mastodon.social/tags/Medien" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Medien</span></a> <a href="https://mastodon.social/tags/Politik" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Politik</span></a> <a href="https://mastodon.social/tags/Wirtschaft" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Wirtschaft</span></a> (2/2)</p>
Pyrzout :vm:<p>Benchmarks Find ‘DeepSeek-V3-0324 Is More Vulnerable Than Qwen2.5-Max’ – Source: www.techrepublic.com <a href="https://ciso2ciso.com/benchmarks-find-deepseek-v3-0324-is-more-vulnerable-than-qwen2-5-max-source-www-techrepublic-com/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">ciso2ciso.com/benchmarks-find-</span><span class="invisible">deepseek-v3-0324-is-more-vulnerable-than-qwen2-5-max-source-www-techrepublic-com/</span></a> <a href="https://social.skynetcloud.site/tags/threatsandvulnerabilities" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>threatsandvulnerabilities</span></a> <a href="https://social.skynetcloud.site/tags/rssfeedpostgeneratorecho" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>rssfeedpostgeneratorecho</span></a> <a href="https://social.skynetcloud.site/tags/ArtificialIntelligence" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ArtificialIntelligence</span></a> <a href="https://social.skynetcloud.site/tags/SecurityonTechRepublic" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SecurityonTechRepublic</span></a> <a href="https://social.skynetcloud.site/tags/SecurityTechRepublic" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SecurityTechRepublic</span></a> <a href="https://social.skynetcloud.site/tags/CyberSecurityNews" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>CyberSecurityNews</span></a> <a href="https://social.skynetcloud.site/tags/Cybersecurity" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Cybersecurity</span></a> <a href="https://social.skynetcloud.site/tags/AIsecurity" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AIsecurity</span></a> <a href="https://social.skynetcloud.site/tags/deepseekv3" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>deepseekv3</span></a> <a href="https://social.skynetcloud.site/tags/qwen25max" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>qwen25max</span></a> <a href="https://social.skynetcloud.site/tags/AImodels" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AImodels</span></a> <a href="https://social.skynetcloud.site/tags/DeepSeek" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DeepSeek</span></a> <a href="https://social.skynetcloud.site/tags/Security" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Security</span></a> <a href="https://social.skynetcloud.site/tags/Alibaba" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Alibaba</span></a> <a href="https://social.skynetcloud.site/tags/News" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>News</span></a> <a href="https://social.skynetcloud.site/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a></p>
Karl Voit :emacs: :orgmode:<p>Studie: <a href="https://graz.social/tags/KI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>KI</span></a> <a href="https://graz.social/tags/Chatbots" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Chatbots</span></a> sind beim Zitieren von <a href="https://graz.social/tags/News" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>News</span></a> unbrauchbar<br><a href="https://www.derstandard.at/story/3000000261220/studie-ki-chatbots-sind-beim-zitieren-von-news-unbrauchbar" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">derstandard.at/story/300000026</span><span class="invisible">1220/studie-ki-chatbots-sind-beim-zitieren-von-news-unbrauchbar</span></a></p><p>"Untersucht wurden <a href="https://graz.social/tags/ChatGPT" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ChatGPT</span></a> Search (<a href="https://graz.social/tags/OpenAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>OpenAI</span></a>), <a href="https://graz.social/tags/Perplexity" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Perplexity</span></a>, Perplexity Pro (Perplexity AI), <a href="https://graz.social/tags/Gemini" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Gemini</span></a> 2.0 Flash (<a href="https://graz.social/tags/Google" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Google</span></a>), <a href="https://graz.social/tags/DeepseekV3" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DeepseekV3</span></a> Search (<a href="https://graz.social/tags/Deepseek" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Deepseek</span></a>), <a href="https://graz.social/tags/Grok" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Grok</span></a>-2 Search, Grok-3 Search Beta (<a href="https://graz.social/tags/xAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>xAI</span></a>) sowie <a href="https://graz.social/tags/Copilot" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Copilot</span></a> (<a href="https://graz.social/tags/Microsoft" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Microsoft</span></a> und OpenAI)."</p><p>"<a href="https://graz.social/tags/Grok3" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Grok3</span></a> [...] lieferte gleich in 96 Prozent aller Fälle falsche Antworten." 🤣 </p><p><a href="https://graz.social/tags/Nachrichten" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Nachrichten</span></a> <a href="https://graz.social/tags/Algorithmen" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Algorithmen</span></a> <a href="https://graz.social/tags/Automatisierung" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Automatisierung</span></a></p>
Hacker News<p>DeepSeek-V3 Technical Report</p><p><a href="https://arxiv.org/abs/2412.19437" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">arxiv.org/abs/2412.19437</span><span class="invisible"></span></a></p><p><a href="https://mastodon.social/tags/HackerNews" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>HackerNews</span></a> <a href="https://mastodon.social/tags/DeepSeekV3" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DeepSeekV3</span></a> <a href="https://mastodon.social/tags/TechnicalReport" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>TechnicalReport</span></a> <a href="https://mastodon.social/tags/AIResearch" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AIResearch</span></a> <a href="https://mastodon.social/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MachineLearning</span></a> <a href="https://mastodon.social/tags/Arxiv" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Arxiv</span></a> <a href="https://mastodon.social/tags/TechNews" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>TechNews</span></a></p>
B166IR<p><a href="https://k2pk.com/tags/deepseek" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>deepseek</span></a> <a href="https://k2pk.com/tags/v3" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>v3</span></a> <a href="https://k2pk.com/tags/deepseekv3" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>deepseekv3</span></a> <a href="https://k2pk.com/tags/ai" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ai</span></a> <a href="https://k2pk.com/tags/tech" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>tech</span></a> #0324</p>
Cloudbooklet<p>DeepSeek releases DeepSeek-V3-0324 on Hugging Face!</p><p><a href="https://mastodon.social/tags/DeepSeek" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DeepSeek</span></a> <a href="https://mastodon.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://mastodon.social/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MachineLearning</span></a> <a href="https://mastodon.social/tags/DeepSeekV3" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DeepSeekV3</span></a> <a href="https://mastodon.social/tags/HuggingFace" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>HuggingFace</span></a> <a href="https://mastodon.social/tags/ArtificialIntelligence" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ArtificialIntelligence</span></a> <a href="https://mastodon.social/tags/AIModel" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AIModel</span></a></p>
eicker.news ᳇ tech news<p>»Chinese <a href="https://eicker.news/tags/AIlab" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AIlab</span></a> <a href="https://eicker.news/tags/DeepSeek" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DeepSeek</span></a> just released the latest version of their enormous <a href="https://eicker.news/tags/DeepSeekv3" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DeepSeekv3</span></a> model: The license is <a href="https://eicker.news/tags/MIT" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MIT</span></a> (that's new - previous DeepSeek v3 had a custom license).« <a href="https://simonwillison.net/2025/Mar/24/deepseek/?eicker.news" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">simonwillison.net/2025/Mar/24/</span><span class="invisible">deepseek/?eicker.news</span></a> <a href="https://eicker.news/tags/tech" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>tech</span></a> <a href="https://eicker.news/tags/media" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>media</span></a></p>

🚀 DeepSeek V3 vs ChatGPT-4o: Which One Reigns Supreme?🤖

AI is evolving fast! 🏎️ DeepSeek V3 and ChatGPT-4o are two of the most powerful LLMs in 2025. But which one is better?

🔍 We compare:
✅ Accuracy & performance
✅ Multimodal capabilities
✅ Speed & efficiency
✅ Real-world applications

📖 Read the full breakdown here:

radargit.com/2025/02/03/deepse

Which AI model do you prefer? Comment below! 👇

Radargit · DeepSeek V3 vs ChatGPT 4o Which One is Better?the strengths and weaknesses of DeepSeek V3 vs ChatGPT 4o in our comprehensive comparison to find the AI tool that best meets your needs.
#AI#DeepSeekV3#ChatGPT4o

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 chat.deepseek.com/sign_in

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

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