NEAR AI上の(L)Earn AIエージェントを紹介します

1 min read

導入

おそらく、今、電話でChatGPTを呼び出すことができると聞いたことがあるでしょう。これは非現実的に思えます。それはクールですが、話す相手が誰かを知っていますか?最善の方法は、サービスプロバイダーの評判であるOpenAI OpCo, LLCに頼ることです。

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現在のAIの問題

  • 中央集権モデル:GPT-4やClaudeなどの広く使用されているモデルはクローズドソースで中央集権化されています。
  • 中央集権インフラへの依存:「オープンソース」とされているモデルでも、GroqやTogether AIなどの中央集権化されたプラットフォームで実行されることがよくあります。
  • 不透明な運用:エージェントがどのように操作されているか(プロンプト、制限、停止リストなど)を検証することは不可能です。
  • データプライバシーの懸念:ユーザーは、自分のデータがどのように処理されたり保存されたりしているかについてほとんど見えていません。

これらの課題は、責任あるAIの使用と、重要な意思決定にAIエージェントを頼る際の注意を強調しています。

AIと学習

AIに甘やかされる前に学校を卒業したら幸運です。

しかし、学習スキル、批判的思考、推論スキルを発達させていないために、または若すぎるために、または「役立ち効率的な」AIエージェントに依存しすぎているために、物事を検証できない場合、これは深刻な問題になります。電卓は高価で限られたツールとして始まり、学校に年数をかけて適応しました。今、AIは瞬時に教育を変革し、あらゆる科目に影響を与えています。生徒はAIで不正行為をするかもしれませんが、それを自分の仕事に組み込んで教育者に挑戦し、伝統的な課題の妥当性を疑問視します。
一般的な理解は、課題がクラス内で完了されない限り、その作業が人間によって行われたかどうかを確実に判断することは不可能だということです。

検証可能なAIはこれを変えることができます。

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NEAR AI Hub

NEAR.AIが答えです。
アルファ版では、すでにいくつかの興味深い機能が試すことができます。試して学ぶことに勝るものはありませんので、やってみましょう。

NEAR AI Research Hubに移動してください。

プラットフォームとやり取りするために、NEARアカウントでサインインすることができます。Agentsタブで、登録されたすべてのエージェントを見つけることができます – プライベートで暗号化されたアイテムをサポートする分散型ストレージ。
Learn AIエージェント0.0.1を見つけてチェックしてください。
introducing-learn-ai-agent-on-near-ai-agent-registry-1024x626 NEAR Protocolに関連する用語をすべて含む以下のテキストをjaに翻訳してください。HTMLタグは保持しますが、、<html>、<body>、<head>などのタグは生成しないでください。特定の名前やトークン(「Burrow」、「NEAR」、「BRR」、「stNEAR」など)は翻訳しないでください。</p> <p>NEAR AIハブ内でエージェントと会話することができ、さらに重要なのは、エージェントの起源を探ることができるということです – それは<a href="https://app.near.ai/profiles/learn-agent.learnclub.near">learn-agent.learnclub.near</a>、ソースコード、プロンプト、ストップワードを含む。さらに、重要なストップワードを削除したい場合は、単純にクローンを作成してください。ただし、今後はクローンを管理することになります!</p> <p><picture><source srcset="https://learnnear.club/wp-content/uploads/2025/01/introducing-learn-ai-agent-on-near-ai-verify-1024x595.webp 1024w,https://learnnear.club/wp-content/uploads/2025/01/introducing-learn-ai-agent-on-near-ai-verify-300x174.webp 300w,https://learnnear.club/wp-content/uploads/2025/01/introducing-learn-ai-agent-on-near-ai-verify-768x446.webp 768w,https://learnnear.club/wp-content/uploads/2025/01/introducing-learn-ai-agent-on-near-ai-verify-1320x767.webp 1320w,https://learnnear.club/wp-content/uploads/2025/01/introducing-learn-ai-agent-on-near-ai-verify-150x87.webp 150w,https://learnnear.club/wp-content/uploads/2025/01/introducing-learn-ai-agent-on-near-ai-verify.webp 1459w" sizes="auto, (max-width: 1024px) 100vw, 1024px" type="image/webp"><img src="https://learnnear.club/wp-content/uploads/2025/01/introducing-learn-ai-agent-on-near-ai-verify-1024x595.jpg" height="595" width="1024" srcset="https://learnnear.club/wp-content/uploads/2025/01/introducing-learn-ai-agent-on-near-ai-verify-1024x595.jpg 1024w, https://learnnear.club/wp-content/uploads/2025/01/introducing-learn-ai-agent-on-near-ai-verify-300x174.jpg 300w, https://learnnear.club/wp-content/uploads/2025/01/introducing-learn-ai-agent-on-near-ai-verify-768x446.jpg 768w, https://learnnear.club/wp-content/uploads/2025/01/introducing-learn-ai-agent-on-near-ai-verify-1320x767.jpg 1320w, https://learnnear.club/wp-content/uploads/2025/01/introducing-learn-ai-agent-on-near-ai-verify-150x87.jpg 150w, https://learnnear.club/wp-content/uploads/2025/01/introducing-learn-ai-agent-on-near-ai-verify.jpg 1459w" sizes="auto, (max-width: 1024px) 100vw, 1024px" class="alignnone size-large wp-image-72346 sp-no-webp" alt="introducing-learn-ai-agent-on-near-ai-verify-1024x595" loading="lazy" decoding="async" > </picture></p> <p>さらに掘り下げてみましょう。モデルタブに切り替えてください。<br /> <picture><source srcset="https://learnnear.club/wp-content/uploads/2025/01/word-image-72336-5.webp 1326w,https://learnnear.club/wp-content/uploads/2025/01/word-image-72336-5-300x154.webp 300w,https://learnnear.club/wp-content/uploads/2025/01/word-image-72336-5-1024x527.webp 1024w,https://learnnear.club/wp-content/uploads/2025/01/word-image-72336-5-768x395.webp 768w,https://learnnear.club/wp-content/uploads/2025/01/word-image-72336-5-1320x679.webp 1320w,https://learnnear.club/wp-content/uploads/2025/01/word-image-72336-5-150x77.webp 150w" sizes="auto, (max-width: 1326px) 100vw, 1326px" type="image/webp"><img src="https://learnnear.club/wp-content/uploads/2025/01/word-image-72336-5.png" height="682" width="1326" srcset="https://learnnear.club/wp-content/uploads/2025/01/word-image-72336-5.png 1326w, https://learnnear.club/wp-content/uploads/2025/01/word-image-72336-5-300x154.png 300w, https://learnnear.club/wp-content/uploads/2025/01/word-image-72336-5-1024x527.png 1024w, https://learnnear.club/wp-content/uploads/2025/01/word-image-72336-5-768x395.png 768w, https://learnnear.club/wp-content/uploads/2025/01/word-image-72336-5-1320x679.png 1320w, https://learnnear.club/wp-content/uploads/2025/01/word-image-72336-5-150x77.png 150w" sizes="auto, (max-width: 1326px) 100vw, 1326px" class="wp-image-72341 sp-no-webp" alt="word-image-72336-5" loading="lazy" decoding="async" > </picture></p> <p>すでに50以上のオープンソースモデルが利用可能です。Learn AIがNEAR AIインフラでホストされている特定のLLaMAを使用していることが確認できます。エージェントを介してモデルとやり取りするためにNEARアカウントを使用することで、実際に誰と話しているのかがわかります!</p> <p><picture><source srcset="https://learnnear.club/wp-content/uploads/2025/01/word-image-72336-6.webp 982w,https://learnnear.club/wp-content/uploads/2025/01/word-image-72336-6-300x163.webp 300w,https://learnnear.club/wp-content/uploads/2025/01/word-image-72336-6-768x416.webp 768w,https://learnnear.club/wp-content/uploads/2025/01/word-image-72336-6-150x81.webp 150w" sizes="auto, (max-width: 982px) 100vw, 982px" type="image/webp"><img src="https://learnnear.club/wp-content/uploads/2025/01/word-image-72336-6.png" height="532" width="982" srcset="https://learnnear.club/wp-content/uploads/2025/01/word-image-72336-6.png 982w, https://learnnear.club/wp-content/uploads/2025/01/word-image-72336-6-300x163.png 300w, https://learnnear.club/wp-content/uploads/2025/01/word-image-72336-6-768x416.png 768w, https://learnnear.club/wp-content/uploads/2025/01/word-image-72336-6-150x81.png 150w" sizes="auto, (max-width: 982px) 100vw, 982px" class="wp-image-72342 sp-no-webp" alt="word-image-72336-6" loading="lazy" decoding="async" > </picture></p> <p>NEAR AIは、1.4Tのパラメータを持つ次世代のフロンティアAIモデルを構築する計画です!オープンソースAI開発をペイパーユースモデルを通じて持続可能にするアイデアで、ここでNEARが重要な役割を果たすことになります。</p> <style type="text/css" id="wq-trivia-custom-css">.wq-quiz-72349 { --wq-question-width: 100%; --wq-question-color: #009cff; --wq-question-height: auto; --wq-bar-color: #00c479; --wq-font-color: #444; --wq-background-color: #f2f2f2; } </style><!-- wp quiz --> <div id="wp-quiz-72349" class="wq_quizCtr single trivia_quiz wq-quiz wq-quiz-72349 wq-quiz-trivia wq-layout-single wq-skin-traditional" data-quiz-id="72349"> <div class="wq-questions wq_questionsCtr"> <div class="wq-question wq_singleQuestionWrapper" data-index="0"> <div class="wq_singleQuestionCtr"> <div class="wq_questionTextWrapper quiz-pro-clearfix"> <div class="wq_questionTextCtr"> <h4>What is one major advantage of the NEAR AI infrastructure compared to centralized AI models?</h4> </div> </div> <div class="wq_questionMediaCtr"> </div> <div class="wq-question-answers wq_questionAnswersCtr"> <div class="wq-answers wq_answersWrapper"> <div class="wq-answer wq_singleAnswerCtr" data-id="41lua"> <label class="wq_answerTxtCtr">It offers faster processing speed</label> </div> <div class="wq-answer wq_singleAnswerCtr" data-id="204fs"> <label class="wq_answerTxtCtr">It ensures user-owned AI with transparency and control over agents and models</label> </div> <div class="wq-answer wq_singleAnswerCtr" data-id="aw4rf"> <label class="wq_answerTxtCtr">It eliminates the need for AI prompts and stopwords</label> </div> <div class="wq-answer wq_singleAnswerCtr" data-id="9njwr"> <label class="wq_answerTxtCtr">It requires no technical knowledge for customization</label> </div> </div> </div> <div class="wq-trivia-question-explanation wq_triviaQuestionExplanation"> <div class="wq-explanation-head wq_ExplanationHead"> <span class="wq-explanation-head-correct">Correct!</span> <span class="wq-explanation-head-incorrect">Wrong!</span> </div> <p class="wq-explanation-text wq_QuestionExplanationText"></p> </div> </div> </div> </div> </div> <!-- // wp quiz--> <p>NEAR AIは、分散型の方法で1.4Tのパラメータを持つモデルを構築し、収益化する方法を実現するのでしょうか?それが「Trusted Execution Environments」、またはTEEsの世界に入るところです。</p> <p>現代のプロセッサやGPU(H100sから始まる)は、一方のアクターであるアリスが、もう一方のアクターであるボブのマシンでコードを実行することを可能にします。ボブを信頼せずに、次の2つの保証を持っています:(a)ボブがアリスが期待していたコードを実行していること、および(b)ボブがアリスが実行してほしい処理を盗聴できないこと。言い換えると、アリスはそのような計算に任意のプライベートデータを安全に送信でき、ボブがそれを見ることができないことを確信できます。</p> <h2><span class="ez-toc-section" id="%E7%B5%90%E8%AB%96"></span><a id="post-72336-_1pclo6h7heqe"></a>結論<span class="ez-toc-section-end"></span></h2> <p>分散型のNEAR AIインフラは、ユーザー所有のAIを可能にする大きな進歩を表しています。透明性、コントロール、柔軟性を提供することで、NEAR AIは、データプライバシーを確保し、信頼を育む方法でユーザーがAIエージェントとやり取りできるようにしています。</p> <p>NEARの先駆者であるLNCは、ライブLearn AIエージェント、開発中のLean NEAR Tutor、計画中のWooCommerce Shopping Agentなど、実用的なアプリケーションにこのインフラを活用する最前線に立っています。</p> <p>学習者として、この革新的な(L)Earnエコシステムに積極的に参加してください。 (L)Earn AIに関連する質問をして、nLEARNで支払い、知識を得て、AIの改善に貢献することでnLEARNを獲得してください。</p> <p><picture><source srcset="https://learnnear.club/wp-content/uploads/2025/01/word-image-72336-7.webp 588w,https://learnnear.club/wp-content/uploads/2025/01/word-image-72336-7-289x300.webp 289w,https://learnnear.club/wp-content/uploads/2025/01/word-image-72336-7-150x156.webp 150w" sizes="auto, (max-width: 588px) 100vw, 588px" type="image/webp"><img src="https://learnnear.club/wp-content/uploads/2025/01/word-image-72336-7.png" height="610" width="588" srcset="https://learnnear.club/wp-content/uploads/2025/01/word-image-72336-7.png 588w, https://learnnear.club/wp-content/uploads/2025/01/word-image-72336-7-289x300.png 289w, https://learnnear.club/wp-content/uploads/2025/01/word-image-72336-7-150x156.png 150w" sizes="auto, (max-width: 588px) 100vw, 588px" class="wp-image-72343 aligncenter sp-no-webp" alt="word-image-72336-7" loading="lazy" decoding="async" > </picture> このアプローチにより、(L)Earnの概念に深い意味と豊かさがもたらされ、学習とAIとのポジティブなゲームでの収益を組み合わせています。</p> <style type="text/css" id="wq-trivia-custom-css">.wq-quiz-72350 { --wq-question-width: 100%; --wq-question-color: #009cff; --wq-question-height: auto; --wq-bar-color: #00c479; --wq-font-color: #444; --wq-background-color: #f2f2f2; } </style><!-- wp quiz --> <div id="wp-quiz-72350" class="wq_quizCtr single trivia_quiz wq-quiz wq-quiz-72350 wq-quiz-trivia wq-layout-single wq-skin-traditional" data-quiz-id="72350"> <div class="wq-questions wq_questionsCtr"> <div class="wq-question wq_singleQuestionWrapper" data-index="0"> <div class="wq_singleQuestionCtr"> <div class="wq_questionTextWrapper quiz-pro-clearfix"> <div class="wq_questionTextCtr"> <h4>What is the unique feature of the (L)Earn AI agent in the NEAR ecosystem?</h4> </div> </div> <div class="wq_questionMediaCtr"> </div> <div class="wq-question-answers wq_questionAnswersCtr"> <div class="wq-answers wq_answersWrapper"> <div class="wq-answer wq_singleAnswerCtr" data-id="41lua"> <label class="wq_answerTxtCtr">It provides free access to all AI models</label> </div> <div class="wq-answer wq_singleAnswerCtr" data-id="204fs"> <label class="wq_answerTxtCtr">It allows users to earn and spend nLEARNs while improving the agent</label> </div> <div class="wq-answer wq_singleAnswerCtr" data-id="aw4rf"> <label class="wq_answerTxtCtr">It replaces the need for signing in with NEAR accounts</label> </div> <div class="wq-answer wq_singleAnswerCtr" data-id="9njwr"> <label class="wq_answerTxtCtr">It restricts users from viewing agent source code</label> </div> </div> </div> <div class="wq-trivia-question-explanation wq_triviaQuestionExplanation"> <div class="wq-explanation-head wq_ExplanationHead"> <span class="wq-explanation-head-correct">Correct!</span> <span class="wq-explanation-head-incorrect">Wrong!</span> </div> <p class="wq-explanation-text wq_QuestionExplanationText"></p> </div> </div> </div> </div> </div> <!-- // wp quiz--> <p>📚Happy (L)Earning!🕺</p> <div id="ai-comment-btn" ">Generate comment with AI 2 nL</div><div class="pld-like-dislike-wrap pld-template-1"> <div class="pld-like-wrap pld-common-wrap"> <a href="javascript:void(0)" class="pld-like-trigger pld-like-dislike-trigger " title="Useful" data-post-id="72527" data-trigger-type="like" data-restriction="cookie" data-already-liked="0"> <i class="fas fa-thumbs-up" style="font-weight: 100;" ></i> </a> <span class="pld-like-count-wrap pld-count-wrap"> </span> </div></div> </div> <div id="comments" class="comments-area"> <div id="respond" class="comment-respond"> <h3 id="reply-title" class="comment-reply-title">コメントする <small><a rel="nofollow" id="cancel-comment-reply-link" href="/ja/introducing-learn-ai-agent-on-near-ai-ja/#respond" style="display:none;">返信をキャンセル</a></small></h3><br/><h4>To leave a comment you should to:</h4><br/><button class=' login-with-near-link' href='#' style='color:#fff; border-radius: 5px;'>Login with NEAR</button> </div><!-- #respond --> <script> jQuery(document).ready(function ($) { let page = 1; const perPage = 10; const totalComments = 0; const loadMoreButton = $('#load-more-comments'); loadMoreButton.on('click', function (event) { event.preventDefault(); page++; const data = { 'action': 'load_more_comments', 'offset': page * perPage, 'postID': '72527', 'security': '3fe68bd4ac' }; $.ajax({ url: 'https://learnnear.club/wp-admin/admin-ajax.php', type: 'POST', data: data, success: function (response) { $('.load-more-comments').before(response); if ($.trim(response) === '') { loadMoreButton.hide(); } else { if (page * perPage >= totalComments) { loadMoreButton.hide(); } } }, error: function (xhr, textStatus, errorThrown) { console.error('Error:', errorThrown); }, complete: function () { window.initCommentsJs(); } }); }); }); </script> <script> // ClassicEditor // .create(document.querySelector('#comment')) // .catch(error => { // console.error(error); // }); // window.CKEDITOR.basePath = 'https://learnnear.club/wp-content/themes/techbridge-learn/assets/js/minified/ckeditor/' jQuery(document).ready(($) => { CKEDITOR.replace('comment', { removePlugins: 'about' }); }); </script> </div><!-- #comments --> </div><!-- .entry-content .clear --> </div> </article> <nav class="navigation post-navigation" role="navigation" aria-label="投稿"> <span class="screen-reader-text">投稿ナビゲーション</span> <div class="nav-links"><div class="nav-previous"><a href="https://learnnear.club/ja/near-intents-a-guide-for-users-and-developers-ja/" rel="prev"><span class="ast-left-arrow">←</span> 前の投稿</a></div></div> </nav> </main> <div id="zone1-wrap"> </div> </div> <div class="widget-area secondary" id="secondary" role="complementary" itemtype="https://schema.org/WPSideBar" itemscope="itemscope"> <div class="sidebar-main" > <aside id="ezw_tco-6" class="widget ez-toc"><div id="ez-toc-widget-container" class="ez-toc-widget-container ez-toc-v2_0_72 ez-toc-widget counter-hierarchy 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<div class='other-guides'> <div class='other-guides-title'> More Gaido </div> <div class='ast-row'> <div class="ast-col-md-6 other-guides-item"> <a href="https://learnnear.club/ja/what-are-learner-nfts-ja/"> <div class="post-thumb-img-content post-thumb"><picture><source srcset="https://learnnear.club/wp-content/uploads/2022/08/header-desktop-1024x342.jpg 1024w,https://learnnear.club/wp-content/uploads/2022/08/header-desktop-300x100.webp 300w,https://learnnear.club/wp-content/uploads/2022/08/header-desktop-768x256.webp 768w,https://learnnear.club/wp-content/uploads/2022/08/header-desktop-150x50.webp 150w,https://learnnear.club/wp-content/uploads/2022/08/header-desktop.webp 1100w" sizes="auto, (max-width: 1024px) 100vw, 1024px" type="image/webp"><img src="https://learnnear.club/wp-content/uploads/2022/08/header-desktop-1024x342.jpg" height="342" width="1024" srcset="https://learnnear.club/wp-content/uploads/2022/08/header-desktop-1024x342.jpg 1024w, https://learnnear.club/wp-content/uploads/2022/08/header-desktop-300x100.jpg 300w, https://learnnear.club/wp-content/uploads/2022/08/header-desktop-768x256.jpg 768w, https://learnnear.club/wp-content/uploads/2022/08/header-desktop-150x50.jpg 150w, https://learnnear.club/wp-content/uploads/2022/08/header-desktop.jpg 1100w" sizes="auto, (max-width: 1024px) 100vw, 1024px" class="attachment-large size-large wp-post-image sp-no-webp" alt="(L)Earner" itemprop="image" decoding="async" loading="lazy" > </picture></div> </a> <div class='meta'> 1 min read • By lncer.near </div> <a href="https://learnnear.club/ja/what-are-learner-nfts-ja/" class='title'> (L)Earner NFTsとは何ですか? </a> </div> <div class="ast-col-md-6 other-guides-item"> <a href="https://learnnear.club/ja/near-protocol-and-ton-ja/"> <div class="post-thumb-img-content post-thumb"><picture><source srcset="https://learnnear.club/wp-content/uploads/2024/05/learn-near-and-ton-1024x457.webp 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