AI-podden

In this February news update, our host Ather Gattami sits with Anders Arpteg, to recap the latest and most significant shifts in AI. On the menu; OpenAI's $100 billion funding round, intensifying competition from companies like Anthropic, Google, and xAI, and the growing geopolitical role of AI in defense and national security. They also explore the gap between rapid technological progress and slower real-world adoption, the evolving role of software engineers as AI automates more coding tasks, and Sweden's new AI strategy aimed at becoming a leading AI nation through stronger adoption and practical application of AI.

In this months January news update, hosts Ather Gattami and Anders Arpteg, recap the latest and most significant shifts in AI. They including new model releases, the shift toward autonomous agent systems like OpenClaw, and breakthroughs in reasoning such as Gemini DeepThink's results. They also discuss the growing concentration of AI power among tech giants, the role of open and specialized models, and why rapid adoption will be critical for companies and individuals as AI capabilities accelerate.

In this episode, Anders Hammarbäck, co-founder of Redpine AI, discusses how data, not models - will define the winners in the AI era. He explains RedPine's role as a "knowledge layer" that unlocks proprietary, high-quality data to improve AI accuracy and reduce hallucinations, especially in sectors like healthcare and pharmaceuticals. The conversation also covers the potential value of personal data, the near-term outlook for AI and AGI, Europe's position in the global AI race, and Ander's shift from venture capital to founding a company focused on data as the core competitive advantage in AI.

Happy New Year listeners! In our first AI-Podden news update of 2026, our hosts Ather Gattami and Anders Arpteg, reflect on the key highlights of AI in 2025 and what lies ahead. They discuss OpenAI's loss of momentum, Google Gemini's rise, the hype and shortcomings of agentic AI, and the growing gap between rapid technological progress and real-world adoption. The conversation also covers infrastructure and hardware investments, energy efficiency, AI sovereignty, regulation, geopolitics, robotics, and the shift toward smaller, more specialised models, with a clear warning that the AI divide between leaders and laggards is likely to widen further in 2026. It promises to be a year full of twists, turns and surprises in the world of AI.

In this months November news update, our hosts; Ather Gattami and Anders Arpteg, recap November's biggest AI shifts. Google's Gemini 3 Pro taking the lead, OpenAI facing pressure over massive infrastructure bets and AGI expectations, Yann LeCun leaving Meta for new research ventures, the EU softening its regulatory stance, and Grok sparking laughs with overly pro-Elon responses, capturing both rapid progress and rising bubble concerns.

In October's AI news update, Ather Gattami and Anders Arpteg discuss OpenAI's transition to a full for-profit structure, the rollout of in-chat shopping, and its new browser. They clarify what Google's "Quantum Echoes" actually demonstrates and why practical quantum computing is still distant. The episode also covers recent improvements in AI systems' ability to use computer interfaces and the security implications of autonomous action-taking, new details emerging from the OpenAI leadership conflict, and NVIDIA's compact DGX-Spark supercomputer. Lastly, a quick congratulations to all of this year's AI Swede of the nominees: Hanna Linderstål Anton Osika Fabian Hedin Joel Rangsjö Marcus Wallenberg Leonora Vesterbacka

*]:pointer-events-auto [content-visibility:auto] supports-[content-visibility:auto]:[contain-intrinsic-size:auto_100lvh] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]" dir="auto" tabindex="-1" data-turn-id= "request-WEB:695faadf-e8e6-439d-a551-6a261d8a0c51-18" data-testid= "conversation-turn-4" data-scroll-anchor="true" data-turn= "assistant"> In this special episode, our host Ather Gattami interviews Jayesh Govindarajan, EVP at Salesforce AI and AgentForce, live at Dreamforce in San Francisco, where Salesforce unveiled major advances in agentic AI including AgentForce Voice, advanced context engineering, and AFScript. Jayesh explains that successful enterprise AI requires not only powerful models but also well-defined goals, reliable context, actionable capabilities, and robust guardrails that deliver both creativity and precision. He describes Salesforce's full lifecycle for building, testing, and monitoring agents, which enables continual improvement and lays the foundation for future self-learning systems that can safely expand their own capabilities.

In this episode, our host Ather Gattami, speaks with Beda Grahn, Managing Director at Kyndryl Nordics & Baltics, about how they use AI to manage and modernize the core infrastructure around the globe. From banking systems to home-care platforms, Beda explains how "Kyndryl Bridge" produces over 12 million AI-driven insights monthly, enabling preventive actions and major efficiency gains, such as cutting KYC workloads by 60 percent. Ather and Beda explore the rise of agentic AI, its challenges in enterprise adoption, and the importance of leadership in driving transformation. Beda stresses that executives must lead by example, foster reverse mentorship with young talent, and embed ethical guardrails to balance innovation with security.

*]:pointer-events-auto [content-visibility:auto] supports-[content-visibility:auto]:[contain-intrinsic-size:auto_100lvh] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]" dir="auto" tabindex="-1" data-turn-id= "request-WEB:aef98bb1-0f42-4c9d-bc2e-a0353b005fb7-3" data-testid= "conversation-turn-8" data-scroll-anchor="true" data-turn= "assistant"> In this month's AI news update episode, our hosts Ather Gattami and Anders Arpteg discuss all the latest AI breakthroughs, from OpenAI's Sora 2 and Claude 4.5 to Gemini 2.5 and Grok 4 - and the massive infrastructure race behind them, including the $500 billion Stargate project and Elon Musk's Colossus 2 data center. They explore OpenAI's move toward productisation with its "Instant Checkout" feature, Microsoft's "Vibe Working", and Google's browser-integrated Gemini, before highlighting DeepMind's progress on the Navier–Stokes problem. The episode ends on an optimistic note: AI's power lies in augmenting, not replacing, human capability.

In this very special episode, our host Ather Gattami welcomes Robby Stein, VP of Product at Google Search, to reveal some truly exciting Google news: the global rollout of AI Mode. This new feature introduces conversational, multimodal search in nearly 50 countries and 36 languages, allowing users to ask complex questions through text, voice, or images - and receive richer, link-backed responses powered by Google's real-time information systems. Robby explains how AI mode builds on tools like Lens and AI Overviews, while carefully balancing innovation with reliability, addressing challenges such as compute costs and hallucinations through Google's long-established quality systems. From planning trips with multiple constraints to troubleshooting appliances with a photo, he describes these breakthrough experiences as "AI magic moments."

In the latest AI-Podden news episode, our hosts Ather Gattami and Anders Arpteg, discussed insights from a recent Stockholm AI event with Mistral and Anthropic, covering debates on open-source vs. open weights, safety-first agent design, and the rise of "context engineering." They reviewed major lawsuits involving Google, OpenAI, and Anthropic, highlighted Google's new Nano Banana image generator, and reflected on AGI's limits, arguing that today's AI excels at knowledge management but still lacks true reasoning and autonomy, with future progress hinging on new architectures, massive compute, and energy considerations.

In this week's update, host Ather Gattami is joined by regular guest Anders Arpteg, Head of AI and Data at GlobalConnect, to unpack the summer's biggest AI developments. They review the release of GPT-5, which introduced cheaper APIs, longer context windows, and fewer hallucinations but ultimately fell short of lofty expectations, particularly when compared with Claude and Gemini. The discussion explores possible reasons, including talent losses, outdated training data, and speculation of withheld advances, while also spotlighting AI's Olympiad successes, DeepMind's pursuit of hard mathematical problems, and video models like Veo 3 that demonstrate an emerging grasp of physical laws. They conclude that although omni-models may appear, specialized systems are more likely to dominate, creating significant opportunities for startups and enterprises despite the concentration of power in a few frontier labs.

In this special summer episode, we do something a bit different. Our usal host Ather Gattami steps into the guest seat and is interviewed by close friend; Joseph Michael, Venture Partnerships at Google. Ather shares his journey from PhD researcher to leading Sweden's top AI podcast. He reflects on AI's evolution, the shift from theory to compute-driven progress, and why reasoning and real-world learning are the next big steps. Ather urges everyone to embrace AI tools or risk falling behind and shares his excitement about trends like agentic AI - while reaffirming that his true passion lies in doing AI, not just talking about it. Happy Summer!

In this episode, Ather Gattami and one of our favourite guests; Anders Arpteg, Head of AI and Data at GlobalConnect, explore Meta's shifting AI strategy, including its investment in Scale AI amid doubts about LeCun's JEPA model and LLaMA 4 performance. They compare Tesla's vision-based Robotaxi rollout to Waymo's sensor-heavy approach, highlighting Tesla's edge in scalability and real-world data. They also dive into Apple's "Illusion of Thinking" paper, questioning whether today's LLMs genuinely reason or simply excel at recall, and discuss the need for memory, planning, and architectural breakthroughs to push AI beyond current limits.

In this week's episode, special guest; Eva Fors, Managing Director at Google Cloud Nordics returns to the podcast. Eva and our host, Ather Gattami look at how companies in the region are shifting from AI pilots to real deployments, with leaders like Klarna, EasyPark, and Bonnier News using generative AI in areas like customer engagement, M&A, and personalization. While adoption is growing, Eva notes traditional industries are slowed by governance and execution gaps rather than tech limitations. She emphasizes the importance of treating data as a key asset and sees major potential for AI in public sector services, finance, and backend operations - especially as agent-based systems become more common.

In this episode, Stephen Jenkins, VP of Technology Strategy at Magna Electronics, shares practical insights into how AI is reshaping the automotive industry - from cutting development timelines with synthetic data to building smarter, more efficient autonomous parking systems. He explores the challenges of trust, safety, and explainability in AI, the current state of self-driving technology, and why full autonomy may be closer than we think.

In this week's episode, we host one of our favourite guests; Anders Arpteg, Head of AI and Data at GlobalConnect, to discuss how AI could enable "single person unicorns" by handling core business functions, based on his keynote at the Data Innovation Summit. The episode also explores leadership shifts at Meta and OpenAI, the growing divide between research and product focus, and a promising new approach to training AI without human data, inspired by AlphaZero.

In this week's episode, Ather chats with Magnus Hambleton, investor at byFounders and former data lead at Natural Cycles. Magnus has successfully applied transformers to improve fertility predictions in a medical setting. As an investor, he focuses on agentic AI and backs startups slightly ahead of what's currently possible, betting on near-future model capabilities. He remains cautious about LLMs' reliability and generalization, believing new architectures may be needed for AGI. While big tech is dominant, he sees room for startups in complex, workflow-driven applications.

In this episode, Salla Franzén, Investment Manager at Navigare Ventures, returns to AI-Podden to explore how AI accelerates discovery in fields like life sciences and neuroscience. She unpacks the risks of tech hype, the need for explainable, trustworthy AI, and the importance of tools that bridge disciplinary gaps. Salla also shares insights on scientific investing, technical depth, and improving EU funding processes.

In this week's episode we host John Lamb, Solutions Lead AI & Analytics at TietoEvry. John emphasises that while tools like LLMs are useful for automating repetitive tasks such as code generation or data prep, they fall short when it comes to reasoning and interpreting structured data. He explains that data cleaning still dominates much of a data scientist's time and that current AI tools, though helpful, cannot yet be trusted for end-to-end analysis. John also discusses why he believes AGI is still years away, requiring a fundamental shift in technology, and shares practical advice for using AI responsibly, underscoring the importance of human judgment in any AI-driven workflow.

In this episode, we host special guest; Senior Business and Tech Correspondent at SVT and author, Alexander Norén. We discuss how AI is transforming warfare, especially through autonomous drones and decision-making systems, as explored in his documentary AI War. Alexander also reflects on AI's impact on jobs, arguing that human-made work will gain value in the future. The conversation ends with concerns about AI-driven misinformation and the importance of trustworthy, human-centered journalism.

In this episode we speak to Anders Indset, a philosopher, deep tech investor, and best-selling author. We discuss AI's real-world impact, emphasizing Large Quantitative Models (LQMs) that optimize industry-specific data in fields like healthcare, finance, and logistics. Anders critiques Europe's cautious investment culture, advocating for a bolder approach in AI-driven sectors. Inset stresses the need for balanced AI regulation to foster innovation while addressing global challenges like climate change.

In this episode we chat to Niklas Silfverström, CEO of Klang.ai, about Europe's need for AI independence. We discuss data privacy risks, the Cloud Act, and AI bias, emphasizing the need for European infrastructure and language models. Niklas highlights how relying on American AI companies threatens sovereignty, and why investing in GPUs, data centers, and energy is crucial for Europe's competitive future. He also warns that without these efforts, Europe risks becoming a mere consumer of AI rather than a leader in the field. We should note that we use Klang.ai's wonderful platform in the backend processes of AI-Podden - they make our jobs much easier.

In this episode, we host Anders Arpteg to discuss GROK 3's rapid innovation, the competitive AI landscape, and the rise of Chinese models. We explore Elon Musk's influence, AI power concentration, open-source challenges, and the Tesla Agile DNA. The conversation concludes with insights into AI reasoning, AGI development, and future challenges.

In this episode, Ather speaks to Galina Esther Shubina, Senior Director of AI Strategy at King. They discuss how AI improves gameplay and development at King through AI-powered playtesting bots. Galina is excited about robotics but sees major technical challenges ahead. On AGI, she is skeptical, predicting it won't emerge for at least 100 years due to AI's Game on limitations in reasoning. For 2025, she expects smaller generative models and a shift toward traditional AI methods like supervised learning, which she sees as more valuable for businesses.

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.

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 expectations for reasoning capabilities in AI models. Looking ahead, we anticipate innovations in AI model architectures, memory integration, and task automation tools.

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 development.

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 and bold innovation.

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 inevitable dissent. Lastly, he urged AI to remain a bipartisan issue, avoiding politicization similar to electricity, with current bipartisan support.

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 between AI experts, domain professionals, and regulators.

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.

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 addresses the challenges businesses face in scaling AI, recommending fine-tuned, specialized models over generalized large ones.

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.

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 NVIDIA's growth and share a fun AI project predicting pole vaulter Armand Duplantis' potential record-breaking jumps.

This week, guest host (Sifted's) Mimi Billing and Ather discuss June's AI news updates. Topics include Elon Musk's lawsuit against OpenAI over a nonprofit agreement, Anthropic's Cloud 3 outperforming ChatGPT and Google's Gemini, and major investments in Anthropic by Google and Amazon. They also cover the EU AI Act's approval, marking the first regulatory framework for AI in Europe, and the UN's resolution on ethical AI development. The resignation of Stability AI's CEO, Emad Mostaque, is discussed in light of the company's financial struggles. The episode highlights the crowded AI startup landscape and the need for innovation. A quick reminder to everyone of our next live recording at Epicenter Stockholm on September 3rd. Sign up at: https://ai-podden-live-at-epicenter.confetti.events/ invite=896d06ea9ecd5f2d0ac122d4cefa8d50c469 Hope to see you all there!

In this episode, Ather interviews Tom Soderstrom, AWS Enterprise Strategist, on his career and insights into innovation and generative AI. Tom shares his journey from Sweden to the US, becoming NASA's first CTO for IT at JPL, and introducing cloud computing. He emphasises innovation through small, low-risk experiments, or "two-way door decisions," and the formula of Return on Attention plus Return on Interest leading to Return on Investment. The discussion focuses on the potential of generative AI and the gap between excitement and practical applications. Tom encourages leaders to experiment and continuously learn, likening this to being "technology teenagers", and highlights AI's democratisation and the need for a culture of experimentation to solve real business problems.

In this episode, Ather interviews Lele Cau, AI research scientist at MotherBrain, part of EQT Partners. They discuss AI as a system integrating software and hardware for intelligent decision-making. Lele describes MotherBrain's role in aiding deal professionals with data and algorithms, emphasising the importance of knowledge graphs in large language models (LLMs) for maintaining relationships and entities. Lele highlights the need for hybrid AI systems combining various information sources and explore the future of AI hardware, including quantum computing. Lele recommends the movie "Her" and books "The Beauty of Mathematics in Computer Science" and "Algorithms to Live By."

In this episode, Ather meets Caroline Ohlsson, Data & AI Director at Verdane. Caroline explains Verdane's investment in tech-enabled companies and how her team supports them with data and AI. She discusses Verdane's use of generative AI tools like Verdain GPT and Microsoft Co-pilot to boost productivity, and shares examples of AI-driven improvements in code development and sales forecasting. Emphasizing the importance of a solid data foundation and responsible AI practices, she advises companies starting with AI to have a passionate business representatives, a data expert, and an AI owner.

In our first ever live recording at Epicenter Stockholm, Ather and Mimi Billing open with Kai-fu Lee's prediction that AI will take 50% of jobs by 2027 and the market's projected growth to $184 billion by 2024. Despite major investments, the profitability of large language models (LLMs) remains uncertain. OpenAI's financial success is noted, but high development costs are a concern. Privacy issues with Microsoft's new AI hardware and Google's challenges with its AI overview feature are highlighted. Ethical concerns arise from Scarlett Johansson's lawsuit threat against OpenAI for voice theft. They also discuss recent AI reasoning research and the need for more efficient training methods.

In this episode, Ather interviews Anastasia Varava, Research Lead at SEBX, SEB Banken, about AI in banking. Anastasia's work at KTH and SEB Banken focuses on machine learning, robotics, and AI applications to enhance employee efficiency, decision-making, crime prevention, and customer experience. She discusses data sensitivity, the shift to cloud services, and security measures. Anastasia sees potential in simulating financial markets with AI, combining classical computer science with deep learning, and opportunities for startups. She highlights neurosymbolic systems and recommends Chris Bishop's AI texts.

In this episode host Ather interviews Mikael Huss, co-founder and Principal Data Scientist at Codon. They discuss the evolution of AI, noting the shift from traditional data science to large language models (LLMs) like ChatGPT. Mikael highlights the overshadowing of other AI applications by LLMs and generative AI. They emphasize the importance of deeply understanding business problems before applying AI solutions and the potential of open-source LLMs. The conversation also covers the challenges of causal inference in AI, the need for better explainability, and the future of artificial general intelligence (AGI).

This week our guest host, Sifted's Mimi Billing and Ather discuss April's AI developments, including; implications in geopolitics and business, highlighting Microsoft's warning about AI's potential use to disrupt elections in the US, South Korea, and India. They explore China's advancements in AI, the impact of quantum computing on AI development, and recent innovations in human behaviour modeling and reasoning algorithms in large language models. The episode also touches on AI's role in the food and beverage industry, exemplified by an AI-developed coffee blend in Finland, while acknowledging the technological hurdles in mimicking human sensory experiences.

In this episode, Ather hosts guest Alex Baker, global retail strategist, entrepreneur, and Principal at Nordic Retail Hub. They discuss the evolution of AI in retail, highlighting its shift from backend applications to enhancing customer-facing experiences with technologies like dynamic pricing and personalized promotions. They also explore various AI applications that are transforming retail operations, from supply chain management to targeted advertising via retail media networks. The conversation also touches on AI's broader impact on personal productivity and corporate efficiency, underscoring the technology's potential to augment human capabilities.

Ather 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).

In this episode, Ather interviews Ramprakash Ramamoorthy, AI director at ManageEngine, who clarifies AI's role as a practical tool for pattern recognition and productivity in IT management, rather than a threat to human jobs. Ram discusses how ManageEngine has integrated AI across their product suite since 2011 to optimize IT operations and customer service, enabling proactive management decisions. He emphasizes the evolution of AI from a hyped technology to a crucial component in streamlining business processes and enhancing decision-making capabilities within the IT sector.

This week our guest host, Sifted's Mimi Billing and Ather discuss March's AI developments, including; Elon Musk has sued OpenAI, alleging violation of their nonprofit agreement through a Microsoft collaboration and deviation from open-source values. Concurrently, Musk introduced his open-source language model, GROK. Meanwhile, Anthropic's new AI, Cloud 3, reportedly surpasses ChatGPT and Google's Gemini in performance. The episode also covers the EU AI Act and a UN AI resolution, drawing varied perspectives on their impact. Additionally, the resignation of Stability AI's CEO and the company's financial woes post a $101 million October 2022 funding round were discussed, underlining the difficulties in AI monetization and the saturated startup landscape.

This week our guest host, Sifted's Mimi Billing and Ather discuss February's AI developments, including OpenAI's new video tool, Sora, and its careful release strategy amidst ethical concerns. They explore the bias issues in Google's Gemini AI and contrast different AI philosophies, highlighting the debate between practical AI applications and the pursuit of genuine intelligence. The conversation also covers NVIDIA's significant market valuation, the concept of an AI bubble, and Google's approach to AI-written content for publishers. Investments in robotics by NVIDIA and OpenAI are mentioned as forward-looking strategies. Finally, the hosts ponder the hype around AI compared to past excitement in the crypto industry. Don't forget to subscribe and follow us on Linkedin.

Salman Avestimehr, USC professor and FedML co-founder, discusses AI, federated learning, and large language models. This week's topics include; AI definition, distributed and federated systems research, current challenges in generative AI, and trustworthiness in ML. Ather and Salman explore the future of accessible LLMs on personal devices, stress the importance of data, and discuss challenges like distinguishing machine-generated outcomes. The conversation touches on enforcing regulations in the era of open-source tools and recommends the book "Life 3.0" Don't forget to subscribe and follow us on Linkedin.