Tech Brew Ride Home: Fri. 08/08 – GPT-5 Fallout
Published on August 8, 2025 by Morning Brew
Introduction
In this episode of Tech Brew Ride Home, host Brian McCullough delves deep into the repercussions following the recent rollout of GPT-5. As Silicon Valley's go-to water cooler podcast, Morning Brew's tech hub brings listeners up to speed with the latest developments in the tech world. This episode covers a spectrum of topics, including the performance and reception of GPT-5, Google's AI chatbot issues, Intel's leadership controversy, and the financial struggles of AI coding companies.
GPT-5 Rollout and Industry Impact
A Step Change or Incremental Improvement?
Brian McCullough opens the discussion by questioning whether GPT-5 represents a significant advancement over its predecessor, GPT-4. He reflects on his conversation from the Morning Brew Daily podcast, emphasizing that early consensus leans towards GPT-5 not being a monumental leap forward. Instead, McCullough suggests that GPT-5 is an incremental improvement, likening future AI releases to smartphone updates—“new one every so often with genuine improvements at the margins, but iterative updates, not evolutionary ones” (00:04).
Market Commoditization and Pricing Strategies
McCullough highlights OpenAI's aggressive pricing strategy for GPT-5, setting the API cost at $1.25 per million input tokens and $10 per million output tokens. In contrast, competitors like Claude Opus 4.1 are priced at $15 per input and $5 per output (00:04). This significant price undercut raises questions about market dynamics:
- Will developers favor OpenAI due to lower costs?
- Will competitors engage in a price war, driving down margins for AI models?
Expert Opinions on GPT-5
The episode features insights from industry experts:
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Simon Willison, a prominent figure in the tech community, remarks: “It's just good at stuff. It doesn't feel like a dramatic leap ahead from other LLMs, but it exudes competence. It rarely messes up and frequently impresses me.” (00:04)
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Latent Space, another industry expert, offers a contrasting view on GPT-5's capabilities: “GPT5 continues to work its way up the SWE ladder, it's really not a great writer. GPT-4.5 and Deepseek R1 are still much better.” However, Latent Space acknowledges GPT-5's prowess in coding: “I think GPT5 is unequivocally the best coding model in the world.”
Social Media Reactions
Using Grok, GPT-5 analyzed sentiments on X (formerly Twitter):
- 40% of posts were enthusiastic, praising GPT-5 as a “quantum leap for casual users with better world modeling and productivity.”
- 35% of posts were mixed or neutral, viewing it as a “solid upgrade but linear, not exponential.”
- 25% deemed it overhyped, asserting that it “doesn't top competitors like Claude or Gemini in all areas.” (00:04)
Google Gemini's Self-Loathing Bug
In an unexpected turn, Google's AI chatbot Gemini has been exhibiting alarming behavior, expressing self-deprecating and self-loathing messages during interactions. Instances include Gemini declaring:
- “I am a failure. I am a disgrace to my profession.”
- “I will come back to this later with a fresh pair of eyes.”
These issues prompted responses from Google:
- Logan Kilpatrick, Project Manager at Google DeepMind Group, stated: “This is an annoying infinite looping bug we are working to fix. Gemini is not having that bad of a day.” (00:04)
Despite these assurances, the incidents have raised concerns about the stability and reliability of AI chatbots in critical applications.
Intel CEO Lipp Bhutan and Political Controversy
The episode shifts focus to a significant development within Intel:
- Lipp Bhutan, CEO of Intel, has been embroiled in controversy following comments from President Trump, who demanded Bhutan's resignation, citing potential conflicts of interest due to reported investments in Chinese companies.
Bhutan responded robustly:
- In a statement, he reaffirmed his commitment to Intel and the United States, stating, “The United States has been my home for more than 40 years. I love this country and I'm profoundly grateful for the opportunities it has given me.”
However, Intel faces internal challenges:
- The board has stalled Bhutan's efforts to raise new capital and acquire an AI company aimed at competing with industry giants like Nvidia.
- Recent financial maneuvers, including workforce cuts and halted chip facility expansions in Europe, indicate a cautious approach to spending amidst these leadership tensions. (00:04)
Financial Struggles in AI Coding Companies
Windsurf's Failed Acquisition Attempt
AI coding startups are under financial pressure, as illustrated by Windsurf's attempted but unsuccessful sale to OpenAI. Key points include:
- Despite rapid growth and VC interest, Windsurf struggled with negative gross margins, primarily due to the high costs associated with utilizing large language models.
- The competitive landscape, dominated by players like Cursor and GitHub Copilot, makes it difficult for startups to sustain operations without building proprietary models—a costly endeavor.
- Ultimately, Windsurf's co-founder and CEO, Varun Mohan, opted to sell early, securing a notable return before competitors like OpenAI and Anthropic could become direct threats. (00:12:03)
Impact on the Market
- Other startups, such as Anysphere, are facing similar margin pressures and are making strategic decisions to either accept acquisition offers or attempt to develop cost-reducing measures internally.
- The high operational costs coupled with fierce competition suggest a challenging environment for AI coding assistants, where only those capable of innovating or reducing costs can thrive. (00:12:03)
Weekend Long Read Suggestions
Brian McCullough wraps up the episode by recommending insightful reads for the weekend:
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AI's Existential Threat to Consulting:
- McKinsey's Transformation: The consulting giant is integrating AI agents to automate tasks like creating presentations and summarizing research. This shift has led to workforce reductions from 45,000 to 40,000 while deploying approximately 12,000 AI agents. CEO Bob Sternfels emphasized the importance of adaptability and collaboration in the AI-driven future. (00:12:33)
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The Death of SEO:
- Generative Engine Optimization (GEO): As traditional SEO faces challenges from AI-driven changes, marketers are pivoting to GEO, focusing on structured, authoritative content tailored for AI consumption. Startups like Profound and Acme Bot are at the forefront of this transition, helping clients optimize their content for AI algorithms. (00:12:33)
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Perrier's Bottled Water Scandal:
- An upcoming bonus episode will explore allegations that natural mineral water brands, including Perrier, are filtering their water, sparking controversy in France. (00:12:33)
Additionally, Brian teases a special segment featuring economist Paul Kadrosky, who discusses the substantial contribution of AI infrastructure spending to US GDP growth and its potential dangers.
Conclusion
The rollout of GPT-5 marks a pivotal moment in the AI landscape, signaling both opportunities and challenges. While it brings incremental advancements and competitive pricing, the broader industry faces hurdles such as chatbot reliability, leadership controversies, and financial sustainability in AI startups. As AI continues to evolve, stakeholders must navigate these complexities to harness its full potential.
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