Episodio 1: Riepilogo della notte del costruttore 00:00 Introduzione 01:51 @hosseeb sui veri agenti di intelligenza artificiale rispetto ai chatbot 03:12 Tassonomia a tre livelli degli agenti di intelligenza artificiale 05:08 Rate Rover: Riflettori puntati sull'agente DeFi autonomo 06:49 Il livello di pagamento @Nevermined_io per gli agenti di intelligenza artificiale 08:12 @combinderio agente per l'ottimizzazione HVAC 10:11 @8baller11 presenta la Validation Station: Provider RPC decentralizzato 11:51 Agenti di intelligenza artificiale scientifica da @BioProtocol 14:00 Prospettive future e anteprima del prossimo episodio

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

Episode 4: Would You Give An AI Agent Your Credit Card? 00:00 Introduction 01:16 Mark Zuckerberg's vision for AGI 04:31 Open source vs closed source AI debate 05:40 Visa and Mastercard’s plans for AI payments 07:26 Coinbase's HTTP payment infrastructure @CoinbaseDev 08:05 Open source AI adoption trends 09:39 New AI model releases and developments 10:37 Implications for AI ownership and control 11:19 Final thoughts on AI's future impact

Episode 5: Would You Let An AI Agent Use Your Computer? 00:00 Introduction 01:02 Overview of today's AI agent demonstrations 01:53 @huggingface's smolagents demo and Open Computer explanation 05:24 Privacy concerns with desktop AI agents 05:53 Microsoft's integration of agents into Windows 06:56 Copilot Vision and desktop integration challenges 08:30 Google's progress with multimodal models 09:30 Gemini's video analysis capabilities 10:01 Discussion of data ownership and open-source approach 10:59 Closing thoughts and future of agentic AI

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

What makes an AI agent truly autonomous? On Episode 10 of the Agents Unleashed podcast, @ThomasMaybrier speaks with @TrentMc0 co-founder of @oceanprotocol and the Artificial Superintelligence Alliance to explore what sovereignty means for AI, and why blockchain is essential for true autonomy. In this episode: - What makes an AI agentic - The evolution of Ocean Protocol - “Bitcoin as a life form” and the future of AI coordination - The coming wave of AGI, ASI and brain-computer interfaces Watch here on X, or for all other platforms. 01:33 Trent’s background 06:13 Birth of Ocean Protocol 11:27 AI’s real-world impact 17:22 What is a sovereign agent? 26:13 Blockchain x agent autonomy 36:27 Brain-computer interfaces 47:41 Sovereignty in the age of AGI 52:40 Closing thoughts

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

Le criptovalute funzionano 24 ore su 24, 7 giorni su 7. Così dovrebbe fare il tuo agente di intelligenza artificiale. Nell'episodio 13 del podcast Agents Unleashed, @ThomasMaybrier riassume i momenti salienti di Agents Unleashed a Cannes, in cui i costruttori di @autonolas, @NEARFoundation e @gizatechxyz hanno condiviso agenti all'avanguardia dell'intelligenza artificiale. In questo episodio: - Perché dovresti possedere il tuo agente AI (non noleggiarlo) - Agenti di trading in grado di battere il mercato - La personalizzazione come nuova alpha 🎧 Guarda qui su X, o ascolta su qualsiasi piattaforma: 01:35 – Gli agenti IA di Pearl e la visione di Olas con @david_enim 03:07 – Mindshare Agent vs BTC restituisce con @whatismichael_ 05:52 - Optimus: Trading personalizzato in Pearl con @mikabeau 06:25 – ARMA: L'agente "guardiano" di Giza con @renckorzay 09:39 - Considerazioni finali e prospettive per l'IA agentica

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

Can open source AI outpace the closed giants? On Episode 15 of Agents Unleashed, host @ThomasMaybrier breaks down: - @EPFL_en’s sovereign, carbon-neutral LLM - @MistralAI’s Le Chat gets a suite of new features - @reflection_ai’s Asimov agent promises best-in-class AI coding 🎧 Watch here on X or listen anywhere → 01:19 – Swiss AI Initiative and @ETH_en collab on carbon-neutral, multilingual LLM 05:15 – Testing Mistral’s Le Chat's new features + how it compares to other chat assistants 08:35 – Reflection AI’s Asimov: agentic code comprehension + team memory 10:52 – OpenAI’s new agent features + Replit’s self-deleting mistake + smart contract exploits from any LLM 11:53 – Final thoughts + how you can support the show This episode is sponsored by @Sigil_Fund

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