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Sales Sentience

@salessentience.bsky.social

🧠 Obscure Tip of the Week
🤖 3. Use a Hidden `

` to Collect AI Copy Edits  <br>Silently capture user edits to AI content for prompt tuning by inserting a hidden `<textarea>` and updating it with JavaScript on every edit.  <br><a href="/hashtag/AIProduct" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link">#AIProduct</a> <a href="/hashtag/PromptEngineering" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link">#PromptEngineering</a> <a href="/hashtag/LLMTraining" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link">#LLMTraining</a> <a href="/hashtag/UXDesign" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link">#UXDesign</a> <a href="/hashtag/DataCollection" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link">#DataCollection</a></div>

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            🧠 Obscure Tip of the Week  <br>🤖 3. Use a Hidden `<textarea>` to Collect AI Copy Edits  <br>Silently capture user edits to AI content for prompt tuning by inserting a hidden `<textarea>` and updating it with JavaScript on every edit.  <br><a href="/hashtag/AIProduct" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link">#AIProduct</a> <a href="/hashtag/PromptEngineering" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link">#PromptEngineering</a> <a href="/hashtag/LLMTraining" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link">#LLMTraining</a> <a href="/hashtag/UXDesign" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link">#UXDesign</a> <a href="/hashtag/DataCollection" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link">#DataCollection</a>
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               data-bluesky-repost-menu-post-text-value="🧠 Obscure Tip of the Week  
🤖 3. Use a Hidden `<textarea>` to Collect AI Copy Edits  
Silently capture user edits to AI content for prompt tuning by inserting a hidden `<textarea>` and updating it with JavaScript on every edit.  
#AIProduct #PromptEngineering #LLMTraining #UXDesign #DataCollection"
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               data-bluesky-options-text-value="🧠 Obscure Tip of the Week  
🤖 3. Use a Hidden `<textarea>` to Collect AI Copy Edits  
Silently capture user edits to AI content for prompt tuning by inserting a hidden `<textarea>` and updating it with JavaScript on every edit.  
#AIProduct #PromptEngineering #LLMTraining #UXDesign #DataCollection"
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          <div class="mt-3 text-[1.2rem] leading-7 break-words text-gray-800 w-[calc(100%+3.5rem)] -ml-[3.5rem]">Singaporean writers push back against government request for their works! Amidst concerns of unclear compensation and more, resistance mounts against using their works to train a multilingual LLM. <a href="/hashtag/Singapore" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link">#Singapore</a> <a href="/hashtag/Writers" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link">#Writers</a> <a href="/hashtag/LLMTraining" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link">#LLMTraining</a> r/martechnewser</div>

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            Singaporean writers push back against government request for their works! Amidst concerns of unclear compensation and more, resistance mounts against using their works to train a multilingual LLM. <a href="/hashtag/Singapore" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link">#Singapore</a> <a href="/hashtag/Writers" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link">#Writers</a> <a href="/hashtag/LLMTraining" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link">#LLMTraining</a> r/martechnewser
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          <div class="mt-3 text-[1.2rem] leading-7 break-words text-gray-800 w-[calc(100%+3.5rem)] -ml-[3.5rem]">A Functional Scaling Law predicts LLM loss curves, showing warmup‑stable‑decay often beats simple decay; tests cover models from 0.1 B to 1 B. Read more: <a href="https://getnews.me/functional-scaling-laws-explain-learning-rate-effects-on-llm-training/" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link" target="_blank" rel="noopener" data-link="bsky">https://getnews.me/functional-scaling-laws-explain-learning-rate-effects-on-llm-training/</a> <a href="/hashtag/functionalscalinglaw" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link">#functionalscalinglaw</a> <a href="/hashtag/learningrates" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link">#learningrates</a> <a href="/hashtag/llmtraining" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link">#llmtraining</a></div>

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            <span>September 27, 2025 at 5:56 AM</span>
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            <div class="text-sm font-semibold truncate">X the Ancient Japanese Art of Y: The Mobilization of Linguistic Fantasies in Self-Help Books</div>
            <div class="text-xs text-gray-500 truncate">YouTube video by Scripting Japan</div>
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            <span>October 13, 2025 at 5:19 AM</span>
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          <div class="mt-3 text-[1.2rem] leading-7 break-words text-gray-800 w-[calc(100%+3.5rem)] -ml-[3.5rem]">Imagine an LLM trained exclusively on Alfred E. Neuman’s one-liners from Mad's contents pages.<br><br><a href="/hashtag/WhatMeWorry" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link">#WhatMeWorry</a> <a href="/hashtag/MadMagazine" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link">#MadMagazine</a> <a href="/hashtag/AlfredENeuman" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link">#AlfredENeuman</a> <a href="/hashtag/LLMTraining" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link">#LLMTraining</a> <a href="/hashtag/AI" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link">#AI</a> <a href="/hashtag/ArtificialIntelligence" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link">#ArtificialIntelligence</a></div>

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            <span>November 28, 2024 at 6:13 AM</span>
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#WhatMeWorry #MadMagazine #AlfredENeuman #LLMTraining #AI #ArtificialIntelligence"
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          <div class="mt-3 text-[1.2rem] leading-7 break-words text-gray-800 w-[calc(100%+3.5rem)] -ml-[3.5rem]">Technically, GLM-4.5's training leverages specialized "expert models" and distillation. Understanding how context length impacts its performance is crucial for predicting its behavior on specific tasks. <a href="/hashtag/LLMtraining" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link">#LLMtraining</a> 4/5</div>

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          <div class="mt-3 text-[1.2rem] leading-7 break-words text-gray-800 w-[calc(100%+3.5rem)] -ml-[3.5rem]">🧠 Why Reddit matters in AI:<br><br>• 100M+ daily users<br>• Natural, messy, human conversations<br>• A goldmine for teaching chatbots how people really speak<br><br>Reddit’s already licensing data to OpenAI & Google. But Anthropic? Allegedly went rogue.<br><br><a href="/hashtag/AIethics" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link">#AIethics</a> <a href="/hashtag/LLMtraining" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link">#LLMtraining</a></div>

• 100M+ daily users
• Natural, messy, human conversations
• A goldmine for teaching chatbots how people really speak

Reddit’s already licensing data to OpenAI & Google. But Anthropic? Allegedly went rogue.

#AIethics #LLMtraining"
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• 100M+ daily users
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Reddit’s already licensing data to OpenAI & Google. But Anthropic? Allegedly went rogue.

#AIethics #LLMtraining"
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          <div class="mt-3 text-[1.2rem] leading-7 break-words text-gray-800 w-[calc(100%+3.5rem)] -ml-[3.5rem]">HarperCollins is the latest publisher to sign a LLM training agreement with an AI company. The licensing deal is for selected non-fiction backlist titles. Authors can opt in to receive payment for the “underlying value of their works ... " <br><br><a href="https://www.theverge.com/2024/11/18/24299882/harpercollins-authors-license-books-ai-training" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link" target="_blank" rel="noopener" data-link="bsky">www.theverge.com/2024/11/18/2...</a><br><br><a href="/hashtag/AI" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link">#AI</a> <a href="/hashtag/LLMTraining" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link">#LLMTraining</a> <a href="/hashtag/Books" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link">#Books</a></div>

<a href="https://www.theverge.com/2024/11/18/24299882/harpercollins-authors-license-books-ai-training" target="_blank" rel="noopener" class="block mt-2 border rounded overflow-hidden w-[calc(100%+3.5rem)] -ml-[3.5rem] no-card-link">
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            <div class="text-sm font-semibold truncate">HarperCollins is asking authors to license their books for AI training</div>
            <div class="text-xs text-gray-500 truncate">HarperCollins hasn’t named the AI company.</div>
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            <span class="truncate">www.theverge.com</span>
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<div class="mt-3 text-xs text-gray-500 flex items-center gap-2 whitespace-nowrap overflow-hidden w-[calc(100%+3.5rem)] -ml-[3.5rem]">
            <span>November 26, 2024 at 3:42 PM</span>
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www.theverge.com/2024/11/18/2...

#AI #LLMTraining #Books"
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www.theverge.com/2024/11/18/2...

#AI #LLMTraining #Books"
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          <div class="mt-3 text-[1.2rem] leading-7 break-words text-gray-800 w-[calc(100%+3.5rem)] -ml-[3.5rem]">Benchmark shows NVIDIA H100/H200 and AMD MI250 GPUs used for LLM training; larger micro‑batch sizes raise peak power and cause thermal throttling. Activation recomputation cuts memory needs. <a href="https://getnews.me/power-performance-and-thermal-insights-for-distributed-llm-training/" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link" target="_blank" rel="noopener" data-link="bsky">https://getnews.me/power-performance-and-thermal-insights-for-distributed-llm-training/</a> <a href="/hashtag/llmtraining" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link">#llmtraining</a> <a href="/hashtag/gpu" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link">#gpu</a></div>

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            <span>September 23, 2025 at 2:08 AM</span>
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            Benchmark shows NVIDIA H100/H200 and AMD MI250 GPUs used for LLM training; larger micro‑batch sizes raise peak power and cause thermal throttling. Activation recomputation cuts memory needs. <a href="https://getnews.me/power-performance-and-thermal-insights-for-distributed-llm-training/" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link" target="_blank" rel="noopener" data-link="bsky">https://getnews.me/power-performance-and-thermal-insights-for-distributed-llm-training/</a> <a href="/hashtag/llmtraining" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link">#llmtraining</a> <a href="/hashtag/gpu" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link">#gpu</a>
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          <div class="mt-3 text-[1.2rem] leading-7 break-words text-gray-800 w-[calc(100%+3.5rem)] -ml-[3.5rem]">What makes a high-quality LLM chat asset?<br>It’s more than prompts & responses. You need:<br>▪️ Turn-level tracking<br>▪️ Context metadata<br>▪️ Flexible structuring<br>▪️ Review loops<br>Ango Hub brings structure to messy chat data: <a href="https://imerit.net/resources/blog/creating-and-managing-llm-chat-assets-in-ango-hub/" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link" target="_blank" rel="noopener" data-link="bsky">imerit.net/resources/bl...</a><br><a href="/hashtag/LLMTraining" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link">#LLMTraining</a> <a href="/hashtag/DataAnnotation" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link">#DataAnnotation</a> <a href="/hashtag/AngoHub" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link">#AngoHub</a></div>

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            What makes a high-quality LLM chat asset?<br>It’s more than prompts & responses. You need:<br>▪️ Turn-level tracking<br>▪️ Context metadata<br>▪️ Flexible structuring<br>▪️ Review loops<br>Ango Hub brings structure to messy chat data: <a href="https://imerit.net/resources/blog/creating-and-managing-llm-chat-assets-in-ango-hub/" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link" target="_blank" rel="noopener" data-link="bsky">imerit.net/resources/bl...</a><br><a href="/hashtag/LLMTraining" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link">#LLMTraining</a> <a href="/hashtag/DataAnnotation" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link">#DataAnnotation</a> <a href="/hashtag/AngoHub" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link">#AngoHub</a>
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Ango Hub brings structure to messy chat data: imerit.net/resources/bl...
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#DataAnnotation #LLMTraining #DataAnnotation #AIInfrastructure"
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          <div class="mt-3 text-[1.2rem] leading-7 break-words text-gray-800 w-[calc(100%+3.5rem)] -ml-[3.5rem]">12000+ API Keys and Passwords Found in Public Datasets Used for LLM Training <a href="https://reconbee.com/12000-api-keys-and-passwords-found-in-public-datasets-used-for-llm-training/" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link" target="_blank" rel="noopener" data-link="bsky">reconbee.com/12000-api-ke...</a><br><br><a href="/hashtag/apikey" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link">#apikey</a> <a href="/hashtag/API" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link">#API</a> <a href="/hashtag/password" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link">#password</a> <a href="/hashtag/LLM" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link">#LLM</a> <a href="/hashtag/dataset" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link">#dataset</a> <a href="/hashtag/LLMtraining" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link">#LLMtraining</a> <a href="/hashtag/CyberSecurity" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link">#CyberSecurity</a> <a href="/hashtag/CyberSecurityAwareness" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link">#CyberSecurityAwareness</a> <a href="/hashtag/cyberattacks" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link">#cyberattacks</a></div>

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            <div class="text-sm font-semibold truncate">12000+ API Keys and Passwords Found in Public Datasets Used for LLM Training</div>
            <div class="text-xs text-gray-500 truncate">includes more than 250 billion pages read more about 12000+ API Keys and Passwords Found in Public Datasets Used for LLM Training</div>
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            <span>February 28, 2025 at 1:38 PM</span>
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#apikey #API #password #LLM #dataset #LLMtraining #CyberSecurity #CyberSecurityAwareness #cyberattacks"
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          <div class="mt-3 text-[1.2rem] leading-7 break-words text-gray-800 w-[calc(100%+3.5rem)] -ml-[3.5rem]">RL‑ZVP lifted accuracy by 8.61 pp and pass rate by 7.77 pp on six math‑reasoning benchmarks. It uses entropy‑guided advantage shaping to weight uncertainty tokens from zero‑variance prompts. <a href="https://getnews.me/zero-variance-prompts-boost-llm-reinforcement-learning-performance/" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link" target="_blank" rel="noopener" data-link="bsky">https://getnews.me/zero-variance-prompts-boost-llm-reinforcement-learning-performance/</a> <a href="/hashtag/rlvr" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link">#rlvr</a> <a href="/hashtag/llmtraining" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link">#llmtraining</a></div>

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            <span>September 29, 2025 at 9:43 AM</span>
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            RL‑ZVP lifted accuracy by 8.61 pp and pass rate by 7.77 pp on six math‑reasoning benchmarks. It uses entropy‑guided advantage shaping to weight uncertainty tokens from zero‑variance prompts. <a href="https://getnews.me/zero-variance-prompts-boost-llm-reinforcement-learning-performance/" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link" target="_blank" rel="noopener" data-link="bsky">https://getnews.me/zero-variance-prompts-boost-llm-reinforcement-learning-performance/</a> <a href="/hashtag/rlvr" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link">#rlvr</a> <a href="/hashtag/llmtraining" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link">#llmtraining</a>
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          <div class="mt-3 text-[1.2rem] leading-7 break-words text-gray-800 w-[calc(100%+3.5rem)] -ml-[3.5rem]">The <a href="/hashtag/PPU" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link">#PPU</a> will solve these challenges. Our PPU fuels the next generation of CPUs, helping <a href="/hashtag/cloudproviders" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link">#cloudproviders</a> & <a href="/hashtag/serverCPU" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link">#serverCPU</a> makers break free from old limits. The PPU accelerates AI workloads running on CPUs like complex simulations as well as data pre- & post-processing in <a href="/hashtag/LLMtraining" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link">#LLMtraining</a>. <a href="/hashtag/AI" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link">#AI</a> <a href="/hashtag/HPC" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link">#HPC</a></div>

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      Behind every <a href="/hashtag/AI" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link">#AI</a> breakthrough is the power of computing, & that power is hitting limits. Our <a href="/hashtag/PPU" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link">#PPU</a> unlocks the full potential of server CPUs powering the <a href="/hashtag/cloud" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link">#cloud</a>, <a href="/hashtag/hyperscalers" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link">#hyperscalers</a>, & <a href="/hashtag/edgecomputing" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link">#edgecomputing</a>. <a href="/hashtag/ServerCPUs" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link">#ServerCPUs</a> scale poorly & are inefficient w/ memory coherency as well as synchronization.
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            The <a href="/hashtag/PPU" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link">#PPU</a> will solve these challenges. Our PPU fuels the next generation of CPUs, helping <a href="/hashtag/cloudproviders" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link">#cloudproviders</a> & <a href="/hashtag/serverCPU" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link">#serverCPU</a> makers break free from old limits. The PPU accelerates AI workloads running on CPUs like complex simulations as well as data pre- & post-processing in <a href="/hashtag/LLMtraining" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link">#LLMtraining</a>. <a href="/hashtag/AI" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link">#AI</a> <a href="/hashtag/HPC" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link">#HPC</a>
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          <div class="mt-3 text-[1.2rem] leading-7 break-words text-gray-800 w-[calc(100%+3.5rem)] -ml-[3.5rem]">Block coordinate descent cuts LLM training cost: a 7‑billion‑parameter model on RTX 4090 costs about 2.6 % of the usual expense, and on A100/A800 about 33 %. Read more: <a href="https://getnews.me/block-coordinate-descent-cuts-cost-of-large-language-model-training/" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link" target="_blank" rel="noopener" data-link="bsky">https://getnews.me/block-coordinate-descent-cuts-cost-of-large-language-model-training/</a> <a href="/hashtag/blockcoordinatedescent" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link">#blockcoordinatedescent</a> <a href="/hashtag/llmtraining" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link">#llmtraining</a> <a href="/hashtag/gpu" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link">#gpu</a></div>

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            <span>September 29, 2025 at 10:51 PM</span>
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            Block coordinate descent cuts LLM training cost: a 7‑billion‑parameter model on RTX 4090 costs about 2.6 % of the usual expense, and on A100/A800 about 33 %. Read more: <a href="https://getnews.me/block-coordinate-descent-cuts-cost-of-large-language-model-training/" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link" target="_blank" rel="noopener" data-link="bsky">https://getnews.me/block-coordinate-descent-cuts-cost-of-large-language-model-training/</a> <a href="/hashtag/blockcoordinatedescent" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link">#blockcoordinatedescent</a> <a href="/hashtag/llmtraining" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link">#llmtraining</a> <a href="/hashtag/gpu" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link">#gpu</a>
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          <div class="mt-3 text-[1.2rem] leading-7 break-words text-gray-800 w-[calc(100%+3.5rem)] -ml-[3.5rem]">Alibaba ZeroSearch 2025: Revolution beim LLM-Training! 🔍<br><br>Bis zu 88% Kosten sparen<br>Kein externes API nötig<br>Simuliertes KI-Suchtraining<br><br><a href="/hashtag/ai" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link">#ai</a> <a href="/hashtag/ki" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link">#ki</a> <a href="/hashtag/artificialintelligence" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link">#artificialintelligence</a> <a href="/hashtag/Alibaba" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link">#Alibaba</a> <a href="/hashtag/ZeroSearch" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link">#ZeroSearch</a> <a href="/hashtag/LLMTraining" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link">#LLMTraining</a><br><br>Jetzt LIKEN, teilen, LESEN und FOLGEN! Schreib uns!<br><br><a href="https://kinews24.de/alibaba-zerosearch/" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link" target="_blank" rel="noopener" data-link="bsky">kinews24.de/alibaba-zero...</a></div>

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Bis zu 88% Kosten sparen
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          <svg viewBox="0 0 24 24" width="20" height="20" fill="currentColor">
            <path d="M12 10.8c-1.087-2.114-4.046-6.053-6.798-7.995C2.566.944 1.561 1.266.902 1.565.139 1.908 0 3.08 0 3.768c0 .69.378 5.65.624 6.479.815 2.736 3.713 3.66 6.383 3.364.136-.02.275-.038.415-.056-.138.022-.276.04-.415.056-3.912.58-7.387 2.005-2.83 7.078 5.013 5.19 6.87-1.113 7.823-4.308.953 3.195 2.05 9.271 7.733 4.308 4.267-4.308 1.172-6.498-2.74-7.078a8.741 8.741 0 01-.415-.056c.14.018.279.036.415.056 2.67.297 5.568-.628 6.383-3.364.246-.828.624-5.79.624-6.478 0-.69-.139-1.861-.902-2.206-.659-.298-1.664-.62-4.3 1.24C16.046 4.748 13.087 8.687 12 10.8z" fill="#1185fe"/>
          </svg>
          Sign up with Bluesky
</a>      </div>

<div class="relative my-4">
        <div class="absolute inset-0 flex items-center">
          <div class="w-full border-t border-gray-300 dark:border-gray-700"></div>
        </div>
        <div class="relative flex justify-center">
          <span class="bg-white dark:bg-black px-3 text-sm text-gray-600 dark:text-gray-300">or</span>
        </div>
      </div>

<form class="space-y-4 mt-2">
        <div>
          <label for="signup-email" class="block text-black dark:text-white font-semibold text-sm mt-2 mb-2">Email address</label>
          <input 
            type="email" 
            id="signup-email" 
            placeholder="name@domain.com"
            class="w-full px-4 py-3 bg-gray-50 dark:bg-gray-900 border border-gray-300 dark:border-gray-700 rounded text-black dark:text-white placeholder-gray-500 focus:outline-none focus:ring-2 focus:ring-blue-600 focus:border-transparent"
          />
        </div>

<div class="relative my-6">
        <div class="absolute inset-0 flex items-center">
          <div class="w-full border-t border-gray-700"></div>
        </div>
        <div class="relative flex justify-center">
          <span class="bg-white dark:bg-black px-4 text-black dark:text-white text-sm">or</span>
        </div>
      </div>

<div class="space-y-3 mb-6">
        
        <button class="w-full flex items-center justify-center gap-3 px-6 py-3 bg-transparent hover:bg-black/5 dark:hover:bg-white/10 text-black dark:text-white font-semibold rounded transition-colors border border-gray-300 dark:border-gray-600">
          <svg viewBox="0 0 24 24" width="20" height="20" fill="currentColor">
            <path d="M22.56 12.25c0-.78-.07-1.53-.2-2.25H12v4.26h5.92c-.26 1.37-1.04 2.53-2.21 3.31v2.77h3.57c2.08-1.92 3.28-4.74 3.28-8.09z" fill="#4285F4"/>
            <path d="M12 23c2.97 0 5.46-.98 7.28-2.66l-3.57-2.77c-.98.66-2.23 1.06-3.71 1.06-2.86 0-5.29-1.93-6.16-4.53H2.18v2.84C3.99 20.53 7.7 23 12 23z" fill="#34A853"/>
            <path d="M5.84 14.09c-.22-.66-.35-1.36-.35-2.09s.13-1.43.35-2.09V7.07H2.18C1.43 8.55 1 10.22 1 12s.43 3.45 1.18 4.93l2.85-2.22.81-.62z" fill="#FBBC05"/>
            <path d="M12 5.38c1.62 0 3.06.56 4.21 1.64l3.15-3.15C17.45 2.09 14.97 1 12 1 7.7 1 3.99 3.47 2.18 7.07l3.66 2.84c.87-2.6 3.3-4.53 6.16-4.53z" fill="#EA4335"/>
          </svg>
          Sign up with Google
        </button>

<div class="mt-8 text-center">
        <p class="text-gray-600 dark:text-gray-400 mb-2">Already have an account?</p>
        <button data-action="click->auth-modal#switchToSignin" class="text-blue-600 dark:text-white font-semibold underline hover:text-blue-500 transition-colors">
          Sign in
        </button>
      </div>
    </div>
  </div>
</div>

<div data-controller="modal" data-reply-modal="true" id="global-reply-modal"
     data-viewer-avatar-url=""
     data-viewer-display-name="">
  <div class="hidden fixed inset-0 z-50 overflow-y-auto" data-modal-target="panel" data-viewer-avatar-url="" data-viewer-display-name="">
    <div class="flex min-h-screen items-start justify-center pt-4 md:pt-20">
      
      <div class="fixed inset-0 bg-black/80 transition-opacity" data-action="click->modal#close"></div>

<div class="relative bg-[#1e3a5f] rounded-2xl w-full max-w-xl mx-4 shadow-2xl" data-action="click->modal#stop">
        
        <div class="flex items-center justify-between px-4 py-3 border-b border-gray-600">
          <button type="button" class="text-blue-400 text-base font-medium" data-action="click->modal#close">Cancel</button>
          <button type="button" 
                  id="modal-reply-submit"
                  class="px-5 py-1.5 bg-blue-600 text-white rounded-full font-semibold hover:bg-blue-700 disabled:opacity-50 disabled:cursor-not-allowed">
            Reply
          </button>
        </div>

<div class="px-4 py-3 border-b border-gray-600 modal-reply-preview">
          <div class="flex items-start gap-3">
            <img src="" alt="" class="modal-reply-author-avatar w-10 h-10 rounded-full flex-shrink-0 hidden">
            <div class="modal-reply-author-avatar-placeholder w-10 h-10 rounded-full bg-gray-300 flex-shrink-0"></div>
            <div class="flex-1 min-w-0">
              <div class="font-semibold text-white text-base modal-reply-author-name"> </div>
              <div class="text-gray-300 text-sm line-clamp-3 modal-reply-post-text"> </div>
            </div>
          </div>
        </div>

<div class="px-4 py-3">
          <div class="flex items-start gap-3">
            <img src="" alt="You" class="modal-viewer-avatar w-10 h-10 rounded-full flex-shrink-0 hidden">
            <div class="modal-viewer-avatar-placeholder w-10 h-10 rounded-full bg-gray-300 flex-shrink-0 "></div>
            <div class="flex-1 min-w-0">
              <textarea 
                id="modal-reply-text"
                placeholder="Write your reply"
                rows="8"
                maxlength="300"
                class="w-full px-0 py-2 bg-transparent text-white text-base placeholder-gray-400 resize-none focus:outline-none border-0"
                data-reply-uri=""
                data-reply-cid=""
                data-root-uri=""
                data-root-cid=""
                data-mode="reply"
                data-embed=""
              >

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