Reflections
ChatBotKit Reflections Topics for models
ChatBotKit is a conversational AI platform that helps you build, train, and deploy AI-powered chatbots and virtual assistants for your business.
- The Output Is ConvergingMP3 once sounded worse than WAV, and you could hear the compression. Then the encoders got good enough that the gap vanished and the argument stopped. Model output is heading the same way - it is converging until you cannot tell what produced it, and the model becomes a commodity.
- Build Your Harness for the Weakest ModelA harness tuned against a frontier model breaks the moment you swap in a weaker one. Build it against weak open-weight models and it only gets stronger when a capable model sits behind it. We made that switch internally to find the bugs first.
- Open Source AI Is No Longer A SideshowProprietary frontier labs still lead, but open source AI - increasingly driven by Chinese labs - is taking real ground. Diversity is insurance, and the harness around the model is where real-world use cases get built.
- The Imperceptible UpgradeEvery new model generation costs more and promises more intelligence. But if most users cannot tell the difference in their daily work, the upgrade is not a leap - it is a rounding error with a premium price tag.
- When Someone Else Controls the LightsMost organisations building on AI are one provider decision away from a blackout. The electrical grid cannot arbitrarily cut your power. Your model provider can.
- Why New AI Models Aren’t Always BetterIn this post we explore the importance of evaluating new AI technologies within specific contexts and the value of established, reliable models for long-term success.