Good morning from OWITH.ai: the podcast that gives you only what's important to hear in the AI and tech world.In the dynamic landscape of artificial intelligence, OpenAI, Nvidia, and Google are engaged in a fierce competition. Google has made impressive strides with its Gemini 3 model, which outperforms OpenAI’s systems in several benchmarks due to its vast scale and computational prowess. OpenAI has prioritized breakthroughs in reasoning, but these advancements come with significant time and monetary investments, potentially leaving it vulnerable as Google leverages its infrastructure and resources. Nvidia, known for its gaming chips, plays a pivotal role in AI infrastructure but faces challenges from Google's Tensor Processing Units offered as alternatives to Nvidia's GPUs.Despite these hurdles, OpenAI might maintain its position due to its large consumer base using ChatGPT and extensive API usage. However, to sustain its lead, OpenAI may need to consider an advertising model to monetize its user base effectively. This could generate revenue and enhance the product through user feedback and personalization.Google’s strengths include superior monetization strategies and an edge in image and video generation via platforms like YouTube. If Google capitalizes on these while OpenAI hesitates to adopt an advertising model, Google could potentially expand its market share significantly. Both OpenAI and Nvidia must adapt their strategies against Google's robust infrastructure and monetization capabilities to stay competitive. For Nvidia, this involves enhancing its software ecosystem and possibly adjusting pricing strategies.As this competition unfolds, it raises important questions about market dynamics: can existing leaders be dethroned by innovative smaller players, or will companies like Google continue to dominate due to their overwhelming resources?The AI sector is witnessing an unprecedented boom with startups like Anthropic and Harvey securing substantial funding rounds, leading to skyrocketing valuations. For instance, Anthropic's valuation climbed from $61.5 billion in March to $183 billion. Similar trends are seen across other startups such as Reflection AI and Lila Sciences securing multiple funding rounds in 2025.While this influx of capital suggests growth, there are concerns about the sustainability of these valuations. Comparisons are often drawn to the dotcom boom where massive investments were made in companies that didn't meet expectations. Investors might be overly optimistic about startups becoming success stories like OpenAI or Anthropic. However, not all will meet these expectations, leading to potential losses.In recent venture deals: Black Forest Labs raised $300 million for AI image generation models; Gravis Robotics secured $23 million for heavy machinery automation; StirlingX obtained $11 million for drone operations; Minitap gathered $4.2 million for mobile development platforms; Ranketta received £1 million ($1.3 million) for an AI visibility platform.DoorDash has emerged victorious in the U.S. meal delivery market under CEO Tony Xu's leadership, controlling 60% of the market share. Strategic decisions focusing on customer experience have been key to DoorDash's success since its founding in 2013 by Xu and fellow Stanford students. Through resilience and innovation, DoorDash is on track to generate over $13 billion annually.Despite its current lead, DoorDash must remain vigilant against competitors like Uber Eats and emerging AI-native companies. Beyond meal delivery, DoorDash is exploring new markets such as grocery delivery.Meanwhile, David Sacks is profiled as the AI and crypto czar under the Trump administrat

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