Simon Joliveau Breney

There was a period of time where everything required an experiment and oftentimes the experiment would run for years and nobody will realize that and decide to end the experiment.

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?

To put the writing and speaking speeds into perspective, we form thoughts at 1,000-3,000 words per minute . Natural language might be natural, but it’s a bottleneck.

In Four Thousand Weeks I explored the fascinating work of the art historian Jennifer Roberts, and carried out her exercise of looking at a single painting for three hours straight, so as to experience the truth that really seeing a painting is an undertaking that just takes the time it takes.

When something isn’t getting done, it’s because the person a) doesn’t have the time b) doesn’t have the skill or c) has some sort of psychological block. The third case is surprisingly common. After a few slips with someone I trusted, I’d just ask directly. “I noticed this work isn’t being pushed forward at the rate I expected or at the quality you

most companies today talk about product strategy, but for most of them it is much easier to continue to give allocations to the various stakeholders and just let them decide what they each need. This is sometimes referred to as “peanut butter product strategy” as in spreading the resources very thinly over the company, doing many things but nothing

Traditional resolutions are notorious for being abandoned by February. Instead, Itzler's approach is to focus on adding one new habit per quarter. It’s a far more realistic way to create lasting change, because it allows you to really hone in on one thing at a time. Think about this, that’s 20 new habits in five years!

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