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Sam Charrington
Host, TWIML AI Podcast • Advisor, Speaker • I create content & community around ML, AI & other emerging enterprise tech
Sam Charrington is a prominent figure in the field of machine learning and artificial intelligence, currently working at Amazon Web Services (AWS). He is best known for his role as the host of the "TWIML AI Podcast," where he interviews industry leaders and discusses the latest advancements in AI and machine learning technologies.
Professional Background
- Current Role: At AWS, Sam Charrington focuses on helping organizations leverage AI and machine learning to enhance their operations and drive innovation. His expertise lies in understanding how these technologies can be applied across various industries.
- Podcasting: Through his podcast, he has built a reputation as a thought leader in the AI community, providing insights into emerging trends and technologies.
Contributions to AI
- Community Engagement: Sam is actively involved in the AI community, often speaking at conferences and events, sharing his knowledge and experiences.
- Educational Initiatives: He promotes education in AI through various platforms, aiming to make complex topics more accessible to a broader audience.
By combining his technical knowledge with a passion for education and community engagement, Sam Charrington plays a significant role in advancing the understanding and application of AI technologies.
Highlights
The agent protocol wars are raging: A2A vs MCP vs ACP (vs ACP!) vs... 🔥
But what if this battle just "doesn't make sense"?
In this clip from the latest @twimlai ep, @vijoy of @OutshiftbyCisco makes a provocative plea for convergence, arguing that at the end of the day, "it's all a small matter of software."
Is he right, or is this a massive oversimplification? Listen and decide.
🎙️🔗💬 Full episode in the replies
hard disagree as well, especially the current chatgpt implementation. recently had it doing some research on successive variations on an idea and in spite of noting 'same parameters' in the subsequent requests, it still asked the exact same questions every time like it was a hard coded behavior. and it was perfectly fine with another 'same params' as a response to the questions.