AI

What I do is use ChatGPT for research and analysis, then switch to Claude for writing. This is a common pattern in my workflow. I’ll spend an hour working through a problem in ChatGPT, getting the thinking right, then I’ll extract the key points and move to Claude to actually write it up. The handoff takes maybe five minutes but the quality

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?

I use Claude for spreadsheet work. It’s good at understanding what’s actually in your data, not just what you tell it is there. It can edit existing files, which matters more than you might think. A lot of spreadsheet work isn’t creating new ones from scratch. It’s modifying existing ones while keeping formulas and formatting intact.

Information controls introduced now will also snowball into future generations of LLMs. Since new generations of LLMs are reliant on synthetic data generated from previous generations of LLMs, they inherit any model-layer information controls, and it will be harder to reverse any censorship or information manipulation that is baked into earlier

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.

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?