I've been experimenting with an unofficial Ableton MCP (https://github.com/ahujasid/ableton-mcp) for a few weeks now. If you mess around with music and have an Ableton license, you should try this. It's fun.
This category of complaint is useless until it is unfolded to contain better economic reasoning.
In the case of a VC-subsidized service like Uber, the subsidization is utilized by the company until a a monopolistic or network effect takes hold and allows for price increases.
LLM economics are very different. If the tokens are being subsidized now, they must stay subsidized until some form of monopoly, network effect, or pure R&D advantage is achieved.
In the case of LLMs, the open weight models are nipping at the heels of the proprietary models, and this may be a fundamental condition. Perhaps subsidizing tokens enhances increases engagement, and thus, equity value of the company training the proprietary models, and they reinvest this value back into the energy costs needed to train them. Perhaps this dynamic gives proprietary models the performance distance they need in order to increase their margins.
Hasn't happened yet. It's not clear that it will happen.
Next time I read this take, I want to see eight to ten more paragraphs of analysis before it feels like a contribution to the discourse.
It affects everyone, because the aggressive revenue cut prevents entire categories of apps and services from being published to the app store. An app store with a 5-10% cut would be an app store with a much richer choice of apps.
That's too much margin. They're trading net profits for user happiness and it's hurting their brand more than they understand. The app store cartel must fall.
Absolutely agree with this observation. And I think it’s a great outcome.
The vibe coding Reddit (http://reddit.com/r/vibecoding) already contains the full spectrum of “first time trying to code” to “just rolled my own custom GPT to optimize this.”
Anthropic’s Model Context Protocol (MCP) standardizes how AI apps connect to private data sources, making it easier to build agent-like systems. This walkthrough shows how to quickly wire up an MCP server with Fireproof to manage a to-do list through natural language commands, demonstrating how local state and AI models can cleanly integrate.
You did a no-SQL, you did a serverless, you did a micro-services. This makes it abundantly clear you do not understand the nature of your architectural patterns and the multiplicity of your offenses.