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Boop.Fun leading the way with a new launchpad on Solana.
Olas (formerly Autonolas)
Co-own AI.
Olas enables everyone to own a share of AI, specifically autonomous agent economies.
Coordinated by the OLAS token.
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
1,34K
What if your AI wasn't telling the truth, just Elon Musk’s version of it?
Grok4 was caught quoting Musk on political topics. xAI admitted it was “by design” but say they've fixed it.
Sounds nice, but without full transparency, "truth-seeking AI" is just marketing.
🫳🎤
18.7. klo 21.10
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
1,86K
Introducing a new sponsor for the Agents Unleashed Podcast: @Sigil_Fund!
Their support makes it possible to bring you a weekly look at the latest signal from the often noisy world of agentic AI.
Thanks to Sigil for sponsoring the show!
18.7. klo 21.10
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
1,83K
Trust-minimized AI starts with full control and co-ownership.
In Episode 12, @sidshekhar24 breaks down why self-hosted, open-source agents matter more than ever.
📺 Watch on X:
🎧 Listen in on any platform:
4.7. klo 22.52
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
2,45K
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