AIAW Podcast

Hyperight

The Artificial Intelligence After Work (AIAW) podcast is a weekly live streamed long format conversation aiming to demystify data innovation and AI, as well as their impact to future business and society by bringing the listeners close to the challenges that AI practitioners aim to solve today. The case-study, industry-by-industry, human-focused, and guest personal angle on the topic approach makes the podcast educational, emotional, engaging, and entertaining to all who are interested in learning more about AI, the future developments in the area, or simply getting exposed to variety of topics from practitioners and experts with first-hand industry experience and knowledge in the topic of the day. Hosts: Anders Arpteg & Henrik Göthberg. Program Manager: Goran Cvetanovski read less
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Episodes

E123 - AI and the Future of Energy - Kiryl Zhdanovich & Jonatan Raber
Mar 29 2024
E123 - AI and the Future of Energy - Kiryl Zhdanovich & Jonatan Raber
Will AI pave the way for a cleaner planet, or deepen the chasm of global inequality? That's the burning question we tackle as we unravel the societal and technological fabric wrapped around AI's growing influence. With special guests Jonathan Robert and Kirill Stanovich from Fever, we navigate the intimate narratives of how personal journeys intertwine with the seismic shifts in energy and technology. From Spotify's data-driven beats to the electric pulse of power grids, we connect the dots between individual experiences and the overarching theme of AI's role in our future.Our discussion ventures into the heart of the power grid's evolution, where AI stands as both architect and overseer of a more efficient, cleaner world. We probe into the nuances of grid flexibility, the lucrative potential of electric vehicles as grid assets, and how startups like Fever are boldly steering through these electrifying waters. Jonathan and Kirill, with their rich backgrounds from Spotify to entrepreneurship, shed light on the unexpected ways a car battery can ignite a venture and the emotional resonance behind tech's global impact.This episode isn't just about the machines and code; it's a reflection on the human element within the digital expanse. We examine the tug-of-war between centralized and decentralized energy models, the marriage of cybersecurity with infrastructure, and the pressing demand for talent in software and AI. Join us for a conversation that's as charged as the grid itself, where we peer through the lens of technology to glimpse the road ahead for society, the environment, and our collective well-being.Follow us on youtube: https://www.youtube.com/@aiawpodcast
AI News v8 2024 - Gemma, Sora, Redit, Gemini AI, Nvidia
Feb 23 2024
AI News v8 2024 - Gemma, Sora, Redit, Gemini AI, Nvidia
Welcome to  AIAW News, a special segment of the Artificial Intelligence After Work (AIAW) Podcast, where we bring you the latest and most impactful developments in the world of AI. This week, we explore innovations from industry giants, revealing how AI is reshaping our digital experiences.1. Google has recently launched Gemma, a new suite of open models aimed at promoting responsible AI development. These models, inspired by Google's Gemini project, are designed to be lightweight and accessible, coming in two sizes: Gemma 2B and Gemma 7B. They are optimized for various AI hardware platforms, including NVIDIA GPUs and Google Cloud TPUs, and are compatible with major frameworks like JAX, PyTorch, and TensorFlow. Google has emphasized responsible AI use by providing tools for safety and model debugging, alongside extensive safety measures during the model's development. Gemma is available globally for a wide range of AI applications.2. Google has paused its Gemini AI image generator project due to inaccuracies. Gemini, a multimodal large language model developed by Google’s AI research labs DeepMind and Google Research, comes in three variants: Ultra, Pro, and Nano. However, there have been concerns regarding its performance, especially in the wake of its underwhelming initial launch and a promotional video that turned out to be heavily doctored. Despite claims of Gemini outperforming OpenAI's GPT-4 on various benchmarks, there have been instances where Gemini struggled with basic facts, translations, and coding suggestions. This has led to skepticism about its capabilities and effectiveness.3. Reddit has reportedly entered into a content licensing deal with Google, involving the use of AI technology. Specific details about the deal, such as the nature of the content and the terms, are currently not disclosed. This partnership could potentially involve the use of Google's AI tools and technologies for content creation or moderation on Reddit, leveraging the capabilities of Google's AI systems like the recently introduced Gemini. Such collaborations typically aim to enhance user experience and content management through advanced AI solutions.4. Andrey Karpathy, a prominent AI developer, has left OpenAI for the second time. Karpathy's departure marks a significant event in the AI community, given his contributions and stature in the field. The reasons behind his departure and his future plans are not specified in the available information. OpenAI, known for its groundbreaking work in AI and machine learning, has been at the forefront of AI research and development, with Karpathy playing a pivotal role in some of its major projects.5. NVIDIA has announced the enhancement of Large Language Model (LLM) applications on Windows PCs through the integration of NVIDIA RTX systems. This development aims to supercharge AI applications, providing more power and efficiency for complex AI tasks. NVIDIA's involvement in AI has been growing, with the company offering hardware and software solutions that cater to various AI demands. This particular move indicates NVIDIA's commitment to making AI more accessible and powerful for a broader range of users and developers.6. OpenAI has introduced Sora, a new generative video model. Sora represents a significant step forward in AI technology, showcasing the ability to generate video content. The model is currently being tested by a select group of safety testers, with wider availability expected in the future. OpenAI's continuous innovation in the field of AI demonstrates its commitment to advancing the capabilities of AI technology and exploring new frontiers in content creation and generative models.Follow us on youtube: https://www.youtube.com/@aiawpodcast
AI News v7 2024 - Open AI AI chip trillion funding and adding memory in ChatGPT
Feb 16 2024
AI News v7 2024 - Open AI AI chip trillion funding and adding memory in ChatGPT
Welcome to AIAW News, a special segment of the Artificial Intelligence After Work (AIAW) Podcast, where we bring you the latest and most impactful developments in the world of AI. This week, we explore innovations from industry giants, revealing how AI is reshaping our digital experiences.1. Sam Altman Seeks Trillions of Dollars to Reshape Business of Chips and AI (WSJ): Sam Altman, the CEO of OpenAI and a prominent figure in Silicon Valley, is leading a bold initiative to raise trillions of dollars to transform the chip and AI industries. This ambitious endeavor aims to fund advancements in AI research and development, particularly in the realm of large-scale models like GPT. Altman envisions a future where AI technologies become more efficient and accessible, enabling breakthroughs in various fields such as healthcare, transportation, and entertainment. By harnessing the power of AI and reimagining the traditional semiconductor business model, Altman hopes to revolutionize the way society interacts with technology.1. Memory and New Controls for ChatGPT (OpenAI Blog):OpenAI introduces enhancements to ChatGPT, a state-of-the-art language model, focusing on memory and control mechanisms. These improvements aim to address limitations in conversation context retention and model behavior management. With the introduction of a memory mechanism, ChatGPT can now better recall previous parts of the conversation, facilitating more coherent and context-aware responses. Additionally, new control mechanisms provide users with greater influence over the model's output, allowing for fine-tuning of responses based on specific preferences or guidelines. These advancements represent significant strides in improving the performance and usability of ChatGPT, enhancing its capabilities for various applications ranging from customer service to creative writing.Connect with Us:Website: www.aiawpodcast.comEmail: contact@aiawpodcast.comTwitter: @aiawpodcastFollow us on youtube: https://www.youtube.com/@aiawpodcast