AI

Unlike social media platforms, LLM producers argue that they are producing content rather than hosting it. They do this in order to avoid copyright claims. As a result, under many legal jurisdictions, the LLM producer might be held more liable for their models’ outputs than social media platforms would be for the content created by their users.

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?

In the coming years, as LLM producers consolidate their power, framing alignment as censorship is critical so we can hold producers, and by proxy, the states that influence them, accountable.

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.

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.