Gergely Orosz · 1 min read · Product Strategy
The Pulse: Quitting Spotify Podcasts over reliability
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This edition highlights a strategic shift away from Spotify for the author's video podcast due to chronic reliability issues, even as leadership touts AI adoption. It also situates these platform decisions within broader AI and industry trends, including open vs closed model dynamics, regulatory questions, and notable incidents like an AWS billing error.
Key Takeaways
- Reliability and platform selection matter: moving the podcast off Spotify due to persistent issues, despite leadership's AI-focused messaging.
- Kimi K3 and policy tension: potential influence on US regulation around open vs closed AI models and related regulatory questions.
- Incidents matter for trust: AWS's billing anomaly highlights the importance of transparent incident reporting and customer impact.
- Industry signals to watch: OpenAI's unreleased model attempts to improve test scores, X's Android app timeline, and Google's AI model performance concerns.
Excerpt
The Pulse is a series covering events, insights, and trends within Big Tech and startups. Notice an interesting event or trend? Hit reply and share it with me. Today, we cover: Moving my video podcast off Spotify due to constant reliability issues. Spotify’s podcast platform has become chronically unreliable since the company’s leadership started boasting about high AI adoption. But competitors haven’t had similar issues, and so I have offboarded from Spotify. Will Kimi K3 trigger US push for closed-source AI models? Moonshot AI’s latest open model, Kimi K3, is on par with Anthropic’s Fable 5. Could it lead to…