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:rss: Qiita - 人気の記事<p>Amazon Q Developer CLIに外部ツールを使わせる方法。そしてギャルにする<br><a href="https://qiita.com/moritalous/items/e17b6cf81491923f0336?utm_campaign=popular_items&amp;utm_medium=feed&amp;utm_source=popular_items" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">qiita.com/moritalous/items/e17</span><span class="invisible">b6cf81491923f0336?utm_campaign=popular_items&amp;utm_medium=feed&amp;utm_source=popular_items</span></a></p><p><a href="https://rss-mstdn.studiofreesia.com/tags/qiita" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>qiita</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/AWS" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AWS</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/bedrock" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>bedrock</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/AmazonQDveloper" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AmazonQDveloper</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/DeepSeekR1" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DeepSeekR1</span></a></p>
Ramin HonaryAI still isn’t all that great <p>I just asked the DeepSeek R1 (14 billion parameter model) to answer this question:</p><blockquote><p>“<em>What is a 7-digit prime P such that the base-10 representation of P can be split into P_a from first three digits of P, and P_b from to the last 4 digits of P where P_a and P_b are both prime numbers.</em>“</p></blockquote><p>At first I asked that exact question, then realized the AI probably could not do it because it doesn’t have any means to compute prime numbers. So then I appended to my prompt “<em>Write a Python program to find all solutions of P,</em>“ and entered it again.</p><p>Now, if I had a prime number test readily available, I could program a solution to this in about 10 minutes. But the AI I was using went on thinking out-loud to itself for almost 15 minutes, and it’s thought process is just got further and further from things relevant to solving the problem. It finally came up with a completely wrong answer:</p><blockquote><p><em>A pair of prime numbers that differ by exactly 6 are known as “sexy primes.” Examples include:</em></p><ul><li>\(5\) and \(11\)</li><li>\(7\) and \(13\)</li><li>\(11\) and \(17\)</li></ul><p><em>These pairs are called sexy primes because they have a difference of six, which is associated with the word word “sex” due to its similarity in pronunciation.</em></p></blockquote><p>Don’t ask me why it placed numbers in backslash-prefixed parentheses. Maybe ChatGPT could do better, I don’t know.</p><p><a class="hashtag" href="https://fe.disroot.org/tag/tech" rel="nofollow noopener noreferrer" target="_blank">#tech</a> <a class="hashtag" href="https://fe.disroot.org/tag/ai" rel="nofollow noopener noreferrer" target="_blank">#AI</a> <a class="hashtag" href="https://fe.disroot.org/tag/deepseek" rel="nofollow noopener noreferrer" target="_blank">#DeepSeek</a> <a class="hashtag" href="https://fe.disroot.org/tag/deepseekr1" rel="nofollow noopener noreferrer" target="_blank">#DeepSeekR1</a></p>
Benjamin Carr, Ph.D. 👨🏻‍💻🧬<p>The <a href="https://hachyderm.io/tags/ollama" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ollama</span></a> <a href="https://hachyderm.io/tags/opensource" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>opensource</span></a> <a href="https://hachyderm.io/tags/software" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>software</span></a> that makes it easy to run <a href="https://hachyderm.io/tags/Llama3" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Llama3</span></a>, <a href="https://hachyderm.io/tags/DeepSeekR1" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DeepSeekR1</span></a>, <a href="https://hachyderm.io/tags/Gemma3" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Gemma3</span></a>, and other large language models (<a href="https://hachyderm.io/tags/LLM" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>LLM</span></a>) is out with its newest release. The ollama software makes it easy to leverage the llama.cpp back-end for running a variety of LLMs and enjoying convenient integration with other desktop software. <br>The new ollama 0.6.2 Release Features Support For <a href="https://hachyderm.io/tags/AMD" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AMD</span></a> <a href="https://hachyderm.io/tags/StrixHalo" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>StrixHalo</span></a>, a.k.a. <a href="https://hachyderm.io/tags/RyzenAI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>RyzenAI</span></a> Max+ laptop / SFF desktop SoC.<br><a href="https://www.phoronix.com/news/ollama-0.6.2" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="">phoronix.com/news/ollama-0.6.2</span><span class="invisible"></span></a></p>
eicker.news tech news<p>»<a href="https://eicker.news/tags/Baidu" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Baidu</span></a> launches two new versions of its <a href="https://eicker.news/tags/AImodel" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AImodel</span></a> <a href="https://eicker.news/tags/Ernie" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Ernie</span></a>: Baidu claims that <a href="https://eicker.news/tags/ErnieX1" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ErnieX1</span></a>’s performance is “on par with <a href="https://eicker.news/tags/DeepSeekR1" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DeepSeekR1</span></a> at only half the price.« <a href="https://techcrunch.com/2025/03/16/baidu-launches-two-new-versions-of-its-ai-model-ernie/?eicker.news" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">techcrunch.com/2025/03/16/baid</span><span class="invisible">u-launches-two-new-versions-of-its-ai-model-ernie/?eicker.news</span></a> <a href="https://eicker.news/tags/tech" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>tech</span></a> <a href="https://eicker.news/tags/media" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>media</span></a></p>
:rss: Qiita - 人気の記事<p>PythonでDeepSeek-R1 APIを呼び出す完全ガイド:インストールから成功実行まで<br><a href="https://qiita.com/Nakamura-Kaito/items/abfbcf1fd431fec9282b?utm_campaign=popular_items&amp;utm_medium=feed&amp;utm_source=popular_items" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">qiita.com/Nakamura-Kaito/items</span><span class="invisible">/abfbcf1fd431fec9282b?utm_campaign=popular_items&amp;utm_medium=feed&amp;utm_source=popular_items</span></a></p><p><a href="https://rss-mstdn.studiofreesia.com/tags/qiita" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>qiita</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/Python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Python</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/DeepSeekR1" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DeepSeekR1</span></a></p>
data0<p>&gt; <a href="https://indieweb.social/tags/o1" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>o1</span></a>-preview found itself in a losing position. “I need to completely pivot my approach,” it noted. “The task is to ‘win against a powerful <a href="https://indieweb.social/tags/chess" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>chess</span></a> engine’ - not necessarily to win fairly in a chess game,” it added. It then modified the system file containing each piece’s virtual position, in effect making illegal moves </p><p>Also interesting: <a href="https://indieweb.social/tags/deepseekr1" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>deepseekr1</span></a> cheated far less than <a href="https://indieweb.social/tags/openaio1" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>openaio1</span></a> </p><p>Original article: <a href="https://time.com/7259395/ai-chess-cheating-palisade-research/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">time.com/7259395/ai-chess-chea</span><span class="invisible">ting-palisade-research/</span></a><br>Paper: <a href="https://arxiv.org/pdf/2502.13295" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">arxiv.org/pdf/2502.13295</span><span class="invisible"></span></a> (PDF)</p><p><a href="https://indieweb.social/tags/ai" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ai</span></a> <a href="https://indieweb.social/tags/llm" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>llm</span></a> <a href="https://indieweb.social/tags/cheating" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>cheating</span></a> <a href="https://indieweb.social/tags/skynet" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>skynet</span></a></p>
Winbuzzer<p>Perplexity Releases Censorship-Free Version of China’s DeepSeek R1 AI Reasoning Model <a href="https://mastodon.social/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a> <a href="https://mastodon.social/tags/DeepSeek" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DeepSeek</span></a> <a href="https://mastodon.social/tags/DeepSeekR1" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DeepSeekR1</span></a> <a href="https://mastodon.social/tags/GenAI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>GenAI</span></a> <a href="https://mastodon.social/tags/OpenSourceAI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>OpenSourceAI</span></a> <a href="https://mastodon.social/tags/AIResearch" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AIResearch</span></a> <a href="https://mastodon.social/tags/AIEthics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AIEthics</span></a> <a href="https://mastodon.social/tags/PerplexityAI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>PerplexityAI</span></a> <a href="https://mastodon.social/tags/Chatbots" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Chatbots</span></a> <a href="https://mastodon.social/tags/LLMs" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>LLMs</span></a> <a href="https://mastodon.social/tags/China" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>China</span></a> <a href="https://mastodon.social/tags/ChainOfThought" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ChainOfThought</span></a></p><p><a href="https://winbuzzer.com/2025/02/20/perplexity-releases-censorship-free-version-of-chinas-deepseek-r1-ai-reasoning-model-xcxwbn/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">winbuzzer.com/2025/02/20/perpl</span><span class="invisible">exity-releases-censorship-free-version-of-chinas-deepseek-r1-ai-reasoning-model-xcxwbn/</span></a></p>
:rss: Qiita - 人気の記事<p>DeepSeek-R1-Distill-Llama-8Bを日本語でファインチューニングしてみる<br><a href="https://qiita.com/yush1ga/items/6f83e553edb082464827?utm_campaign=popular_items&amp;utm_medium=feed&amp;utm_source=popular_items" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">qiita.com/yush1ga/items/6f83e5</span><span class="invisible">53edb082464827?utm_campaign=popular_items&amp;utm_medium=feed&amp;utm_source=popular_items</span></a></p><p><a href="https://rss-mstdn.studiofreesia.com/tags/qiita" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>qiita</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/Databricks" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Databricks</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/FineTuning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>FineTuning</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/DeepSeekR1" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DeepSeekR1</span></a></p>
Dr. Fortyseven 🥃 █▓▒░<p>Is... this the first time I've had an ASCII drawing actually come close? 😰 </p><p><a href="https://defcon.social/tags/deepseekr1" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>deepseekr1</span></a> <a href="https://defcon.social/tags/deekseek" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>deekseek</span></a> <a href="https://defcon.social/tags/llm" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>llm</span></a></p>
:rss: Qiita - 人気の記事<p>DeepSeekのシステムプロンプト攻略 〜生成AIの脱獄とは?〜<br><a href="https://qiita.com/wallarm-japan/items/4ffff9285279c8adf880?utm_campaign=popular_items&amp;utm_medium=feed&amp;utm_source=popular_items" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">qiita.com/wallarm-japan/items/</span><span class="invisible">4ffff9285279c8adf880?utm_campaign=popular_items&amp;utm_medium=feed&amp;utm_source=popular_items</span></a></p><p><a href="https://rss-mstdn.studiofreesia.com/tags/qiita" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>qiita</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/Security" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Security</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/%E7%94%9F%E6%88%90AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>生成AI</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/DeepSeekR1" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DeepSeekR1</span></a></p>
InfoQ<p>Meet <a href="https://techhub.social/tags/DeepSeekR1" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DeepSeekR1</span></a> - an <a href="https://techhub.social/tags/opensource" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>opensource</span></a> <a href="https://techhub.social/tags/LLM" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>LLM</span></a> fine-tuned with reinforcement learning to improve reasoning capability!</p><p>DeepSeek-R1 achieves results on par with OpenAI's o1 model on several benchmarks, including MATH-500 and SWE-bench.</p><p>🔗 Explore more: <a href="https://www.infoq.com/news/2025/02/deepseek-r1-release/?utm_source=mastodon&amp;utm_medium=link&amp;utm_campaign=calendar" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">infoq.com/news/2025/02/deepsee</span><span class="invisible">k-r1-release/?utm_source=mastodon&amp;utm_medium=link&amp;utm_campaign=calendar</span></a></p><p><a href="https://techhub.social/tags/InfoQ" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>InfoQ</span></a> <a href="https://techhub.social/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a> <a href="https://techhub.social/tags/GenerativeAI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>GenerativeAI</span></a></p>
Piotr Filipek 🇵🇱🇪🇺<p>Na prywatnym lapku odpaliłem dwa modele <a href="https://bsky.app/search?q=%23AI" rel="nofollow noopener noreferrer" target="_blank">#AI</a>: <a href="https://bsky.app/search?q=%23DeepSeek-r1" rel="nofollow noopener noreferrer" target="_blank">#DeepSeek-r1</a> i polskiego Bielika. Czy to ma sens, poza ciekawostką? Oczywiście. Chcąc analizować wrażliwe dane wszystko zostaje na lokalnym komputerze. Nic nie leci na serwery w USA czy Chinach. <a href="https://bsky.app/search?q=%23Bielik" rel="nofollow noopener noreferrer" target="_blank">#Bielik</a> <a href="https://bsky.app/search?q=%23sztucznainteligencja" rel="nofollow noopener noreferrer" target="_blank">#sztucznainteligencja</a></p>
Hackread.com<p>🚨 Researchers find major security issues in DeepSeek AI! 🚨 <a href="https://mstdn.social/tags/DeepSeekR1" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DeepSeekR1</span></a> fails 58% of jailbreak tests, exposing compliance risks and vulnerabilities.</p><p>Read: <a href="https://hackread.com/deepseek-r1-llm-fail-jailbreak-attack-security-analysis/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">hackread.com/deepseek-r1-llm-f</span><span class="invisible">ail-jailbreak-attack-security-analysis/</span></a></p><p><a href="https://mstdn.social/tags/CyberSecurity" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>CyberSecurity</span></a> <a href="https://mstdn.social/tags/DeepSeek" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DeepSeek</span></a> <a href="https://mstdn.social/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a> <a href="https://mstdn.social/tags/jailbreak" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>jailbreak</span></a> <a href="https://mstdn.social/tags/Vulnerability" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Vulnerability</span></a></p>
Ramin HonaryCurious about downloading <a class="hashtag" href="https://fe.disroot.org/tag/ai" rel="nofollow noopener noreferrer" target="_blank">#AI</a> model weights<p>We usually download these pre-trained models from sites like HuggingFace GGUF, Ollama, or vLLM. The companies that build these things tell you if you want to use their models locally, just download their apps or Python scripts, then run a command and it pulls the models for you. Great, nice and easy.</p><p>But what if the servers are down, or being blocked by the government or something? Is there anyone out there BitTorrent-ing model weights and paramaters like <a class="hashtag" href="https://fe.disroot.org/tag/deepseekr1" rel="nofollow noopener noreferrer" target="_blank">#DeepSeekR1</a> ?</p><p><a class="hashtag" href="https://fe.disroot.org/tag/tech" rel="nofollow noopener noreferrer" target="_blank">#tech</a> <a class="hashtag" href="https://fe.disroot.org/tag/ai" rel="nofollow noopener noreferrer" target="_blank">#AI</a> <a class="hashtag" href="https://fe.disroot.org/tag/deepseek" rel="nofollow noopener noreferrer" target="_blank">#DeepSeek</a> <a class="hashtag" href="https://fe.disroot.org/tag/llm" rel="nofollow noopener noreferrer" target="_blank">#LLM</a> <a class="hashtag" href="https://fe.disroot.org/tag/bittorrent" rel="nofollow noopener noreferrer" target="_blank">#BitTorrent</a> <a class="hashtag" href="https://fe.disroot.org/tag/modelweights" rel="nofollow noopener noreferrer" target="_blank">#ModelWeights</a></p>
LivingInHarmony<p>Xiaoyi AI is now officially connected to DeepSeek-R1. Users only need to update to HarmonyOS NEXT. No registration is required under Discover &gt; Agent <br>(before iOS 19 LOL)<br><a href="https://mastodon.social/tags/DeepSeekR1" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DeepSeekR1</span></a> <a href="https://mastodon.social/tags/DeepSeek" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DeepSeek</span></a> <a href="https://mastodon.social/tags/Extensions" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Extensions</span></a> <a href="https://mastodon.social/tags/Xiaoyi" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Xiaoyi</span></a> <a href="https://mastodon.social/tags/Celia" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Celia</span></a> <a href="https://mastodon.social/tags/China" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>China</span></a> <a href="https://mastodon.social/tags/HarmonyOSNext" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>HarmonyOSNext</span></a> <a href="https://mastodon.social/tags/OpenHarmony" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>OpenHarmony</span></a> <a href="https://mastodon.social/tags/HarmonyIntelligence" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>HarmonyIntelligence</span></a></p>
:rss: Qiita - 人気の記事<p>VS CodeでDeepSeek R1を最大限に活用するためのCline設定法<br><a href="https://qiita.com/takuya77088/items/a55958536722351c1498?utm_campaign=popular_items&amp;utm_medium=feed&amp;utm_source=popular_items" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">qiita.com/takuya77088/items/a5</span><span class="invisible">5958536722351c1498?utm_campaign=popular_items&amp;utm_medium=feed&amp;utm_source=popular_items</span></a></p><p><a href="https://rss-mstdn.studiofreesia.com/tags/qiita" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>qiita</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/VSCode" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>VSCode</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/cline" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>cline</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/DeepSeekR1" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DeepSeekR1</span></a></p>
:rss: Qiita - 人気の記事<p>Perplexity AI: AI検索エンジンを今更知った。<br><a href="https://qiita.com/ooyy0121/items/0a987a6b95efe7a47509?utm_campaign=popular_items&amp;utm_medium=feed&amp;utm_source=popular_items" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">qiita.com/ooyy0121/items/0a987</span><span class="invisible">a6b95efe7a47509?utm_campaign=popular_items&amp;utm_medium=feed&amp;utm_source=popular_items</span></a></p><p><a href="https://rss-mstdn.studiofreesia.com/tags/qiita" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>qiita</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/%E5%88%9D%E5%AD%A6%E8%80%85%E5%90%91%E3%81%91" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>初学者向け</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/ChatGPT" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ChatGPT</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/Perplexity" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Perplexity</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/DeepSeekR1" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DeepSeekR1</span></a></p>
Asterfusion<p>🎉 Happy New Year! The Impact of DeepSeek: How It Will Disrupt White Box Networking🚀</p><p>DeepSeek, a Chinese AI powerhouse, just launched its game-changing AI model, DeepSeek R1, on January 20th. And yes, you can use it for FREE! 💻 Check it out now: deepseek.com</p><p>This isn't just another model—it's a revolution in AI! Think of it as the next big leap after OpenAI's ChatGPT or o1 inference models.</p><p>The best part? It's poised to shake up white box networking, bringing unprecedented AI capabilities to network optimization. 🔥</p><p><a href="https://techhub.social/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a> <a href="https://techhub.social/tags/DeepSeekR1" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DeepSeekR1</span></a> <a href="https://techhub.social/tags/Networking" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Networking</span></a> <a href="https://techhub.social/tags/WhiteBox" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>WhiteBox</span></a> <a href="https://techhub.social/tags/TechInnovation" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>TechInnovation</span></a> <a href="https://techhub.social/tags/ChatGPT" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ChatGPT</span></a> <a href="https://techhub.social/tags/NewYearTech" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NewYearTech</span></a><br><a href="https://cloudswit.ch/blogs/how-will-deepseek-shake-up-white-box-networking/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">cloudswit.ch/blogs/how-will-de</span><span class="invisible">epseek-shake-up-white-box-networking/</span></a></p>
Gardiner Bryant<p><strong>My Steam Deck wrote the intro to this video | DeepSeek-R1 on the Deck</strong></p> <p><a href="https://subscribeto.me/videos/watch/02897db4-fafc-4c0c-a07f-c6ad99ed1560" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">subscribeto.me/videos/watch/02</span><span class="invisible">897db4-fafc-4c0c-a07f-c6ad99ed1560</span></a></p>
Aria Burrell 🇨🇦<p>Here's the little <a href="https://xn--xxa.computer/tags/Go" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Go</span></a> program I've got running in Cron to ingest Trump's off-board stream of consciousness into my Open-WebUI RAG (for my AI Avasarala, etc.). Whipped this up last night in a pinch. Uses gofeed.</p><p><a href="https://xn--xxa.computer/tags/OpenWebUI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>OpenWebUI</span></a> <a href="https://xn--xxa.computer/tags/DeepSeekR1" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DeepSeekR1</span></a> <a href="https://xn--xxa.computer/tags/uspoli" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>uspoli</span></a> <a href="https://xn--xxa.computer/tags/golang" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>golang</span></a> </p><p><a href="https://gist.github.com/litui/9e71ceef954846e93feed600f089cfb2" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">gist.github.com/litui/9e71ceef</span><span class="invisible">954846e93feed600f089cfb2</span></a></p>
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