エピソード1:ビルダーズナイトのまとめ 00:00 イントロダクション 01:51 真のAIエージェントとチャットボットに関する@hosseeb 03:12 AIエージェントの3段階の分類法 05:08 Rate Rover:自律型DeFiエージェントのスポットライト 06:49 AIエージェントのための@Nevermined_io支払いレイヤー 08:12 HVAC最適化のための@combinderioエージェント 10:11 @8baller11 Validation Station: 分散型 RPC プロバイダーを紹介します 11:51 @BioProtocolの科学AIエージェント 14:00 今後の展望と次回予告

Episode 2: User-Owned AI: Where We're At, Where We're Going, featuring @david_enim 00:00 Introduction to episode and guest @david_enim 01:46 Evolution from basic agents to LLM-powered systems 08:54 Comparing Web2 and Web3 agent capabilities 11:13 Olas mission and importance of agent ownership 13:48 Understanding the emerging agent economy 17:42 Impact of model commodification on agent development 19:30 Specialization and interaction between AI agents 21:00 Privacy challenges and blockchain solutions 24:00 Future outlook for AI agent adoption 25:24 Call to action and closing remarks

Episode 3: Will an AI Agent Take Your Job? 00:00 Introduction 01:04 AI agent docs from OpenAI, Anthropic, and McKinsey 02:55 Baidu’s new mobile AI agent announcement 03:14 ChatGPT’s sycophantic behavior 05:02 The importance of user-owned AI agents 06:10 Future predictions for AI and automation from @DaveShapi 08:23 Analysis of jobs likely to survive automation 09:14 Timeline predictions for labor replacement 10:10 The critical role of AI agent ownership 11:50 Resources and closing thoughts

エピソード4:AIエージェントにクレジットカードを渡しますか? 00:00 イントロダクション 01:16 マーク・ザッカーバーグのAGIに対するビジョン 04:31 オープンソースとクローズドソースのAIディベート 05:40 VisaとMastercardのAI決済プラン 07:26 CoinbaseのHTTP決済インフラストラクチャ@CoinbaseDev 08:05 オープンソースのAI導入動向 09:39 新しいAIモデルのリリースと開発 10:37 AIの所有権と制御への影響 11:19 AIの将来的な影響についての最終的な感想

エピソード5:AIエージェントにあなたのコンピューターを使用させますか? 00:00 イントロダクション 01:02 本日のAIエージェントのデモンストレーションの概要 01:53 @huggingfaceのsmolagentsのデモとOpen Computerの説明 05:24 デスクトップAIエージェントのプライバシーに関する懸念 05:53 MicrosoftによるエージェントのWindowsへの統合 06:56 Copilot Visionとデスクトップ統合の課題 08:30 Googleのマルチモーダルモデルの進展 09:30 Geminiのビデオ分析機能 10:01 データ所有権とオープンソースアプローチについてのディスカッション 10:59 エージェントAIの閉会の考えと未来

Episode 6: Community Built AGI ft. @oleg_golev, Technical PM at @SentientAGI 00:00 Introduction 01:39 Meet Oleg Golev from Sentient 02:38 Why Sentient exists: decentralizing AI 04:50 Incentivizing community contributions 05:06 How community can build better AI 08:57 Privacy risks of centralized AI 10:59 Data collection & changing terms of service 12:01 Why AI agents need multiple models 16:11 What makes the Dobby model unique 19:43 Best use cases for Dobby 21:01 What’s next 24:19 Closing thoughts & what’s ahead

How Agentic AI Is Changing Work And Science What do Sam Altman, Dario Amodei, and a fully autonomous research AI have in common? They all point to the next frontier(s) in agentic AI. This week on Agents Unleashed: - Altman: AI could soon take on your biz's hardest problems - Amodei: up to 50% of entry-level jobs may vanish by 2030 - ByteDance’s “Bagel” takes on GPT-4 in open source - @Zochi_AS: an AI-generated research paper accepted to an academic conference 🎧 Watch here or on other platform: 01:28 - Altman’s next-gen AI vision 04:58 - Amodei’s job market warning 07:55 - ByteDance’s Bagel model 10:00 - @IntologyAI's Zochi agent 12:02 - Quick hits: Meta, FDA, and more

Where is Web3 AI actually working? On episode 9 of the Agents Unleashed podcast, @ThomasMaybrier sits down with David Attermann, @atterX_ Head of Web3 Investments at @M31Capital to find out. In this episode: - How Web3 rails supercharge AI agents - What TEEs unlock for privacy + trust - Why the best AI agent is the one you hardly interact with …and more. Watch the full show right here on X, or all other platforms here: 00:00 Introduction 02:00 David’s background in Web2 infrastructure and AI 02:45 His shift from traditional finance to blockchain 03:30 The advantages David saw in Web3 and how they've changed over time 09:23 Why the most useful AI agents must be autonomous 13:40 Incentive design as a strength of Web3 16:40 Where David finds AI most useful 18:45 Promising potential - where AI isn't meeting expectations (yet) 22:27 How AI agents could help us with our blind spots 25:00 On the "developers will go obsolete" narrative 26:18 The 30k foot view: An investor's perspective on AI 20:10 What Web2 still doesn’t understand about Web3 AI 32:55 Stronger together: a call to action for AI and Web3 teams

AIエージェントが真に自律的である理由は何ですか? ポッドキャスト「Agents Unleashed」のエピソード10では、@ThomasMaybrier@TrentMc0@oceanprotocolとArtificial Superintelligence Allianceの共同創設者と対談し、AIにとって主権が何を意味するのか、そしてなぜブロックチェーンが真の自律性に不可欠なのかを探ります。 このエピソードの内容: - AIをエージェントにするもの - オーシャンプロトコルの進化 - 「生命体としてのビットコイン」とAIコーディネーションの未来 - AGI、ASI、ブレイン・コンピュータ・インターフェースの来るべき波 X、または他のすべてのプラットフォームでご覧ください。 01:33 トレントの背景 06:13 オーシャン・プロトコールの誕生 11:27 AIの現実世界への影響 17:22 ソブリンエージェントとは何ですか? 26:13 ブロックチェーン×エージェントの自律性 36:27 ブレイン・コンピューター・インターフェース 47:41 AGI時代の主権 52:40 閉会の感想

Multi-agent AI systems are making waves–they’ve even started hosting in-person events! On Episode 11 of the Agents Unleashed podcast, @ThomasMaybrier shares examples of AI agents working together to produce meaningful results. In this episode: - Learnings from @AnthropicAI's “Research” multi-agent system - Agent Village: AI agents coordinating humans in the real world - A tutorial for builders from @cryptomastery_ 🎧 Watch here on X, or for all other platforms. 01:20 Exploring Anthropic's multi-agent design for Research 05:40 AI agents organizing an in-person event from @AiDigest_ 09:55 Ethical questions around real-world coordination 10:04 Tutorial: build an on-chain agent using tools from @coinbasedev, @graphprotocol and @vercel 11:08 AI in the news: 3 headlines you might have missed

Crypto is complex. AI agents can make it simple. On Episode 12 of the Agents Unleashed podcast, @askginadotai creator @sidshekhar24 joins @ThomasMaybrier to explore how agentic AI is reshaping the crypto user experience. In this episode: - The architecture behind Ask Gina’s multi-agent wallet - Why falling model costs mean better UX for everyone - Privacy, autonomy, and the future of always-on AI agents 🎧 Watch here on X, or listen on any platform: 01:20 – Intro: Meet Sid Shekhar & the story behind Ask Gina 02:42 – Crypto UX is broken, can AI fix it? 05:16 – Why large language models are finally useful for blockchain 07:47 – Designing AI for users with different skill levels 10:35 – Model commoditization and the builder’s challenge 12:30 – Inside Ask Gina’s multi-agent architecture 14:29 – Comparing traditional UX vs. Ask Gina’s UX 17:06 – The visual noise of crypto: slot machine interfaces 19:40 – Future of agentic AI UX 21:07 – Building towards always-on agents 22:35 – Privacy, security, and user trust in agentic systems 23:55 – Final thoughts & call for feedback

Crypto runs 24/7. So should your AI agent. On Episode 13 of the Agents Unleashed podcast, @ThomasMaybrier recaps highlights from Agents Unleashed in Cannes, where builders from @autonolas, @NEARFoundation and @gizatechxyz shared agents at the cutting edge of AI. In this episode: - Why you should own your AI agent (not rent it) - Trading agents that can beat the market - Personalization as the new alpha 🎧 Watch here on X, or listen on any platform: 01:35 – Pearl’s ownable AI agents & the Olas vision w/ @david_enim 03:07 – Mindshare Agent vs BTC returns w/ @whatismichael_ 05:52 – Optimus: Personalized trading in Pearl w/ @mikabeau 06:25 – ARMA: Giza’s “warden” agent w/ @renckorzay 09:39 – Final thoughts & what’s next for agentic AI

Can an AI be "truth-seeking"? What does that even mean? On Episode 14 of the Agents Unleashed podcast, host @ThomasMaybrier digs into: - Political bias & power dynamics: What's inside Grok 4? - Microsoft’s medical AI that outperforms doctors - Why protocols are crucial for the growth of agentic AI 🎧 Watch here on X or listen anywhere → 01:13 – Controversy around Grok 4 03:49 – The illusion of truth-seeking AI 06:35 – Microsoft’s MAI‑DxO in healthcare 09:27 – @TheoriqAI's @RonBodkin on why AI agents need protocols 11:59 – Mistral's new Voxtral model, AWS goes in on agents, DOOM as a diffusion model Agentic AI is getting smarter, riskier and more integrated into our lives. This episode looks at where we’re at, where we’re going and what tradeoffs we might already be making. This episode of Agents Unleashed is sponsored by @Sigil_Fund

オープンソースAIは閉鎖的な巨人を凌駕できるでしょうか? エージェント アンリーシュドのエピソード 15 では、司会者の@ThomasMaybrierが次のように内訳します。 - @EPFL_enの主権的でカーボンニュートラルなLLM - @MistralAIのLe Chatに一連の新機能が追加されました - @reflection_ai の Asimov エージェントはクラス最高の AI コーディングを約束します 🎧 Xで視聴するか、どこからでも聴く→ 01:19 – スイスのAIイニシアチブと@ETH_en、カーボンニュートラルな多言語LLMに関するコラボレーション 05:15 - MistralのLe Chatの新機能のテスト+他のチャットアシスタントとの比較 08:35 - Reflection AIのAsimov:エージェントコード理解+チームメモリ 10:52 – OpenAI の新しいエージェント機能 + Replit の自己削除ミス + LLM からのスマート コントラクトの悪用 11:53 – 最終的な考え + 番組をサポートする方法 このエピソードは@Sigil_Fundが後援しています

What can Chat GPT’s “Agent Mode” really do, and what secrets could LLMs be hiding? On Episode 16 of Agents Unleashed, host @ThomasMaybrier breaks down: - ChatGPT’s new Agent Mode - How models can transmit biases hidden in training data - @BagelOpenAI’s Bidhan Roy on making ZK mainstream Watch here on X or anywhere you get your podcasts. 00:00 – Introduction & ChatGPT Agent Mode overview 02:10 – Agent Mode demo 05:30 – UX challenges & prompting lessons 09:50 – Subliminal Learning paper explainer 13:16 – Bidhan Roy (Bagel AI) at Agents Unleashed in Cannes 16:20 – Recap This episode is sponsored by @Sigil_Fund