This week, we're taking a deep dive into the "AI bubble" and exploring why some experts are concerned.

• Are we in a bubble? Despite massive investments—as much as $40 billion—a recent MIT report reveals that 95% of companies have seen little to no return on their generative AI initiatives.

• We'll explore why some experts, including Sam Altman, are comparing today’s AI boom to the dot-com bubble, and why the "dream" might be outpacing reality.

• Why do so many LLMs rely on Reddit for 40% of their data? We discuss the good, the bad, and the ugly of this information source.

• A look at the surprising chart showing a dramatic drop in ChatGPT usage after June 6, suggesting that a significant number of users might be using it for "homework."

• Is AI responsible for recent layoffs, or are companies using it as an excuse to cut costs? We break down the likely combination of both.

• We'll get my final thoughts on whether this is a true bubble ready to pop or just a much-needed slowdown in the pace of AI innovation.

@KTrimbach42 @onechancefreedm

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In this week's episode, Ryan is taking a deep dive into the hype and reality of OpenAI's latest release. Join us as we dissect the good, the bad, and the just plain weird of GPT-5.

• The GPT-5 presentation was a letdown, feeling sterile and uninspired despite some impressive demos like coding a visual for Bernoulli's principle.

• We explore the general consensus that GPT-5, in its current state, isn't living up to the hype and is even underperforming competitors like Grok.

• Listener feedback reveals serious issues, including a detailed account of how GPT-5 struggled with a simple image recognition task and gave hilariously wrong advice.

• The episode raises concerns about increased hallucinations, with the host sharing an anecdote about the model giving him incorrect dates and then "knowing" it was wrong.

• We touch on other AI news, including the new brain-implant startup from Sam Altman, which puts him in direct competition with Elon Musk and Neuralink.

• The overall verdict? Many people, including a listener quoted in the episode, are finding GPT-5 to be a step back, leading to the question: Is AGI cancelled?

What is Ryan Yapping on about today

• OpenAI releases new "open" models: OpenAI launched two new open-weight reasoning models, GPT-OSS-120B and GPT-OSS-20B, which can run locally on devices like laptops and even phones.

• Shifting business model: The new OpenAI models signal a move away from a subscription-based, pay-per-API model to a one-time hardware investment, offering more privacy since data stays on the device.

• Google DeepMind's "Genie 3": Google DeepMind unveiled Genie 3, a highly advanced world simulator that can generate entire game worlds from natural language prompts, featuring high-fidelity visuals and in-world memory.

• New coding benchmark: Claude upgraded its Opus model to version 4.1, which is being praised as the new top-tier model for coding and advanced agentic tasks—at least until the next major release from a competitor.

• Amazon backs "Netflix of AI": Amazon is supporting an AI-generated streaming service that allows users to type prompts to create scenes or full episodes, with Disney and other major studios reportedly in talks to license their IPs.

• AI for job interviews: A growing number of major companies, including Unilever, Delta, and Vodafone, are using AI to score job interviews by analyzing a candidate's facial expressions, eye movements, and voice for "confidence" and "trustworthiness."

• Potential privacy concerns: With the new local-run models and AI-driven interview tools, there's a growing conversation about user privacy and data security, especially with the news that OpenAI is providing ChatGPT to the government for just $1.

• Publicity vs. practical use: While the new OpenAI models are generating buzz, some observers are questioning their real-world utility, suggesting the release may be more of a publicity stunt without clear use cases or examples.