Hundreds of millions of people have tried ChatGPT, but most of them haven’t been back. Every big company has done a pilot, but far fewer are in deployment. Some of this is just a matter of time. But LLMs might also be a trap: they look like products and they look magic, but they aren’t. Maybe we have to go through the slow, boring hunt for product-market fit after all.

Meta has spent at least $50bn on VR and AR so far, but we’re still in the VR winter: the devices aren’t good enough or cheap enough and the user base is flat. But no matter how good the devices get, how many people will care?

Backing the next generation of AI-powered video security

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?