Apple has showed a bunch of cool ideas for generative AI, but much more, it is pointing to most of the big questions and proposing a different answer - that LLMs are commodity infrastructure, not platforms or products.

How do we build mass-market products that change the world around a technology that gets things ‘wrong’? What does wrong mean, and how is that useful?

How do we think about a fundamentally unknown and unknowable risk, when the experts agree only that they have no idea?

We’ve had ChatGPT for 18 months, but what’s it for? What are the use cases? Why isn’t it useful for everyone, right now?

Our evolving thoughts on investing in AI applications

Podcastle is giving superpowers to the next generation of content creators

The EU has finally made Apple redesign the App Store, 15 years after we started arguing about it, and no-one is happy with the result. In the next few years there'll be a lot of shouting and some giant fines, but in the end, nothing much will change.

Fixing customer service one phone call at a time. The power of LLMs to enable the largest virtual customer service team in the world

Benedict's keynote at Slush 2023

ChatGPT and LLMs can do anything (or look like they can), so what can you do with them? How do you know? Do we move to chat bots as a magical general-purpose interface, or do we unbundle them back into single-purpose software? What are the products?

LLMs and generative AI can offer huge benefits in healthcare, education, and social outcomes – if deployed safely

LLMs will enhance current marketplaces, allow for completely new exchange, and alter the economics of this business model.

The cloud defined the past two decades of B2B software. Agent-based applications could define the next two.

If you put all the world's knowledge into an AI model and use it to make something new, who owns that and who gets paid? This is a completely new problem that we've been arguing about for 500 years.

The tech industry always has a reason why any new laws or regulations are bad - indeed, so does any industry. They always say that! The trouble is, sometimes it’s true, and some laws are (or would be) disasters. So which is it? Well, there are three ways that people say ‘NO!’

We're witnessing an explosion of new generative AI applications. How do we navigate this emerging landscape?

ChatGPT and generative AI will change how we work, but how different is this to all the other waves of automation of the last 200 years? What does it mean for employment? Disruption? Coal consumption?

What has Apple built, what is it for, what does it mean for Meta, and why does it cost $3,500? Check back in 2025.

LLMs and generative AI could change education for good