EP 147: Talking All Things AI with Benedict Evans

The Circuit · 29 Dec 2025 · 52m · Episode 149

What this episode covers

Benedict Evans, a technology analyst and author, discusses the current state of AI with hosts Ben Bajarin and Jay Goldberg, comparing the industry's early uncertainty to the internet in 1997. Evans argues that while general-purpose models are becoming commodities, value will accrue to companies that productize these models into specific workflows rather than relying on blank prompts. He draws a parallel between Nvidia and Sun Microsystems, suggesting that Nvidia's current dominance may face long-term pressure from Moore's Law and commoditization, similar to how Sun was eventually squeezed by general-purpose PCs.

Other shows on the same ground, closest first.

  • Oxide and Friends · 1h 28m

    Is NVIDIA like Sun from the Dot Com Bubble?

    Bryan Cantrill and Adam Leventhal, former Sun Microsystems employees, analyze a viral tweet comparing NVIDIA's current dominance to Sun Microsystems during the Dot Com Bubble, with Todd Gamblin providing technical context on AMD and Intel. They argue that Sun was never as dominant as NVIDIA, citing the historical rise of x86 and Windows NT, and contrast Sun's complacency with NVIDIA's execution and 'run-ins with death.' The discussion covers the risks of high valuation, proprietary software stacks like CUDA, and the competitive landscape involving AMD's MI300 and Intel's Ponte Vecchio.

  • EE Times Current · 45m

    ‘I Feel Like Little God!’ | The Pop of the TOPS | The Most Hated Company in The Biz

    Jim Warrick of Beacon Technology Partners discusses the findings of the 27th 'Mind of the Engineer' survey, revealing that engineers globally share consistent psychographic traits, such as a desire to feel like a 'little God' when solving problems, and are facing increased pressure from supply chain issues and trade wars. Ian Riches of Strategy Analytics, interviewed by Junko Yoshida, argues that 'TOPS' (trillions of operations per second) is an insufficient benchmark for autonomous vehicle processors, emphasizing that power consumption and cost-effectiveness are critical for production vehicles. The episode also covers the history of Netflix, noting its shift from a DVD rental model to streaming and original content, which alienated traditional content distributors.

  • Built 2 Scale · 1h 08m

    Google TPU vs Nvidia GPUs: Token Per Watt Dominance, or the Era of Scaling Is Over?

    Founders Matt Perrott and Scott Wilcox discuss Google's Gemini 3.0 training on TPUs, which bypasses Nvidia's hardware to achieve a structural cost advantage, and the resulting threat to 'vibe coding' startups like Lovable. They analyze the 'age of scaling is over' consensus among researchers like Ilya Sutskever, arguing that future breakthroughs require real-world spatial intelligence rather than just more compute. The hosts also debate office culture, remote work dynamics, and the three critical roles founders must hire early: product, brand, and sales.

  • How I Built This · 58m

    ICYMI... HIBT Lab! OpenAI: Sam Altman

    Sam Altman, co-founder of OpenAI and former president of Y Combinator, discusses the evolution of artificial intelligence from narrow tasks to the pursuit of Artificial General Intelligence (AGI). He details OpenAI's structural shift from a nonprofit to a hybrid model to secure necessary capital, the strategic decision to keep powerful models like GPT-3 behind an API for safety control, and his vision for AI as a ubiquitous, helpful companion rather than just a job-replacing tool.

  • EE Times Current · 49m

    Can the Nvidia Monopoly on AI Chips Be Broken?

    Sally Ward-Foxton of EE Times discusses the AI chip market with hosts Dr. Sunny Bains and Dr. Giulia D’Angelo, analyzing the dominance of Nvidia and the potential for neuromorphic and specialized inference chips to break its monopoly. The conversation covers the spectrum of AI hardware from data center GPUs to ultra-low-power edge devices, highlighting the critical role of software stacks and latency in determining adoption. Professor Ralph Etienne-Cummings joins to critique the industry's focus on power versus learning capabilities and to discuss the future of neuromorphic computing, including memristors and photonic integration.

The summary, chapters and topics are generated from the episode’s audio by this directory, not written by The Circuit. The episode itself belongs to its publisher.