Driving AI at Volvo
AI-podden
In this episode, Ather speaks to Mehrdad Mamaghani, Volvo Group’s Head of Data Science. They discuss AI’s role in predictive maintenance, financial forecasting, and sustainability. Merdad critiques the hype around AGI, emphasizing transparency and practical applications, and highlights the need for AI talent and expertise in Europe.
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AI-Podden News - December
AI-podden
Merry Christmas folks! This week, guest host (Sifted's) Mimi Billing and Ather discuss December's AI news updates. Highlights included Uber's entry into AI data labeling, Google DeepMind's Genie 2 for training AI in simulated environments, and Amazon's collaboration with Anthropic to develop a mega AI supercomputer. We covered the importance of new algorithms over mere scaling and the potential of agentic AI to bring advancements toward artificial general intelligence (AGI). The year saw record AI funding rounds, with Databricks leading at $10 billion, while disappointments included unmet...
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AI-Podden News - November
AI-podden
This week, guest host (Sifted's) Mimi Billing and Ather discuss November's AI news updates. Topics include; OpenAI’s Slush presentation, which revealed both innovation and cultural challenges, and the diminishing returns of AI scaling laws. They explore the rise of specialized models, new players like Gemesis and Mistral, and OpenAI's ChatGPT search feature. The episode also examines AI’s growing role in medicine, highlighting its diagnostic potential alongside concerns about biases and reliability, while reflecting on the balance between rapid progress and persistent challenges in AI...
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AI’s Dual Identity: Philosophy Meets Practicality
AI-podden
Christian Guttmann, Executive Director of the Nordic AI Institute, discusses AI as both a philosophical aspiration and a practical tool. He highlights applications like personalized banking recommendations and data querying with large language models but notes their limitations in reasoning and understanding. Advocating for hybrid AI models and richer data, he emphasizes the need for multimodal approaches that integrate various forms of input, such as speech and gestures, to advance AI capabilities. He also warns that Europe risks falling behind in AI development without greater investment...
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Navigating AI Ethics and Regulation
AI-podden
This week we welcome back; Reggie Townsend, Vice President of Data Ethics at SAS Institute and member of President Biden's National AI Advisory Council. We discussed AI development and regulation in the US. He stressed balancing innovation incentives with government restraint and cited the CHIPS Act as key for AI infrastructure, though most investments are private. He highlighted that AI trustworthiness varies, suggesting risk-based assessments. Townsend underscored the importance of AI education and common standards. On regulation, he noted a risk-focused, citizen-protective approach with...
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AI-Podden Live - Special Guest, Ingrid af Sandeberg
AI-podden
This episode, recorded live, at the third installment of AI-Podden live at Epicenter, features Ingrid af Sandeberg, Strategic Advisor at Epicenter and Chairman of the board at Stockholm AI. She joins Ather & Mimi on the stage to discuss AI trends and tools, including Notebook LM, highlighting the shift toward smaller, specialized models like those on Hugging Face. She emphasizes the challenges of regulating AI in rapidly evolving fields and advocates for outcome-based regulations. Despite Sweden's strong AI expertise, she notes a slow adoption rate and calls for better collaboration...
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AI-Podden News - September & October
AI-podden
This episode, recorded live, is the third installment of Ather and Mimi's special news updates at Epicenter Stockholm. They discuss Elon Musk's We, Robot controversy, OpenAI's $6.6 billion funding round, and AI limitations like pattern matching. They also highlighted neurosymbolic AI’s potential, Nobel winners in machine learning, and the rapid adoption of generative AI tools, and noted the unreliability of current AI agents and the promise of Google’s Notebook LM.
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AI First: How is Google Shaping the Future of Intelligence
AI-podden
Ted Schönbeck, Nordic CTO, Google Cloud discusses the current and future landscape of AI, emphasizing its ability to perform tasks that typically require human intelligence, with machine learning allowing systems to learn independently. Google, an "AI-first" company since 2016, has integrated AI into products like Maps and Search. Schönbeck highlights recent advancements in large language models and generative AI, particularly the use of large token windows for analyzing extensive datasets and the rise of multimodal AI, which processes diverse data types like text, images, and audio. He also...
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Navigating the Future of Intelligent Systems
AI-podden
This episode features special guest, Tom Sodestrom, AWS Enterprise Strategist, speaking on the latest trends in AI and edge computing. Tom shares his insights on the upcoming trends in the next 5-10 years, including the rise of generative AI, increased data volume and importance, productive edge computing, and digital twins and simulation at scale.
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AI-Podden News - July & August
AI-podden
This episode, recorded live, is the second installment of Ather and Mimi's special news updates at Epicenter Stockholm. They discuss OpenAI and concerns about its shift from research to product development, as well as AI advancements in math reasoning by DeepMind and OpenAI’s new "Strawberry" model. The hosts also touch on Sam Altman's Worldcoin project and the intersection of blockchain, crypto, and AI. Autonomous vehicle progress is covered, particularly Uber's partnership with Wave, while an AI safety issue at Sakana AI raises concerns about system control. Lastly, they explore...
info_outlineAther interviews Vilhelm von Ehrenheim, co-founder and CAIO of QA Tech, discussing the use of AI in automating quality assurance for web applications. Wilhelm details how their AI agents test web functionality to ensure reliability before launch, leveraging large language models for enhanced decision-making. He also addresses the challenges of adapting AI to different platforms and anticipates future AI capabilities in broader applications, including the potential developments towards Artificial General Intelligence (AGI).