AI
Are AI Language Models in Hell?
This brings me to my core thesis: The inconvenience and inferior data transfer speeds of conversational interfaces make them an unlikely replacement for existing computing paradigms – but what if they complement them?
Julian • The Case Against Conversational Interfaces
The second thing we need to figure out is how we can compress voice input to make it faster to transmit. What’s the voice equivalent of a thumbs-up or a keyboard shortcut? Can I prompt Claude faster with simple sounds and whistles? Should ChatGPT have access to my camera so it can change its answers in realtime based on my facial expressions?
Julian • The Case Against Conversational Interfaces
That’s because text is not a mobile-native input mechanism. A physical keyboard can feel like a natural extension of your mind and body, but typing on a phone is always a little awkward – and it shows in data transfer speeds: Average typing speeds on mobile are just 36 words-per-minute, notably slower than the ~60 words-per-minute on desktop.
Julian • The Case Against Conversational Interfaces
Another principle we adhere to is creating fault-tolerant interfaces. AI-empowered work is not infallible, especially when it comes to generative tasks. Therefore, we design our AI features to allow for easy user corrections. This flexibility ensures that while AI serves as a helpful starting point, the user always has the final say, thus gradually
... See moreproductschool.com • Fireside Chat: AI-Empowered Work With Lane Shackleton, Coda’s CPO
How to Survive as a Human Creator in the AI Era
The same is true here. The future isn’t about replacing existing computing paradigms with chat interfaces, but about enhancing them to make human-computer interaction feel effortless – like the silent exchange of butter at a well-worn breakfast table.