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Ship it! Building Production Ready Agents — Mike Chambers, AWS
AI Engineer· 2025-06-27 10:45
[Music] Um, yeah. So, my name is Mike Chambers. I'm going to pick you up a little bit there. So, I'm from Queensland in the eastern part of Australia, but that's okay. Um, yeah, very happy to be here. So, I'm a developer advocate for Amazon Web Services. Um, and I completely and utterly and only and totally spe specialize in generative AI. Used to be machine learning. Now it's generative AI. Um, I'll be talking about why this slide is up here in a moment. Any tabletop RPG players in the room? There's got to ...
Scintille | Francesco Pappone | TEDxLago di Fogliano
TEDx Talks· 2025-06-12 15:06
AI Development & Trends - AI's evolution is shifting from narrow, specific applications to general AI models capable of diverse tasks, enhancing both utility and power [22][23] - The industry is developing AI models that mimic human thinking processes, incorporating both intuitive (System 1) and reasoning-based (System 2) approaches [25][26] - O1, an AI model, has achieved an IQ score surpassing the human average, indicating advancements in AI's cognitive abilities [23][24] AI Capabilities & Applications - AI can reconstruct sounds and images from brain activity, revealing potential to mirror aspects of ourselves that are not yet fully understood [15][17] - AI is being developed for everyday applications, including domestic robots (e.g, 1X) for household chores and devices (e.g, Morpheus 1) to induce lucid dreaming [19][21] - Modern AI models, like GPT, predict the next word in a sequence, and by concatenating this process, they can generate human-like language [6][9] AI Limitations & Future Outlook - Current AI models, such as GPT4 with 1800 billion parameters, are still significantly smaller than the human brain, which has approximately 700 trillion parameters [27] - The industry emphasizes the need to accelerate AI development to remain competitive, as leadership in AI will likely determine success in other fields [28][29] - AI models are essentially mirrors of the data they are trained on, reflecting the collective knowledge and biases present in the vast amount of text available on the internet [11][13]