If Apple can use AI to make our interaction with phones and computers more seamless, including the dozens of apps we navigate every day, that’s a good thing for developers. Those who suddenly have no moat around their business thanks to the rise of generative AI have some hard thinking to do.

The only way now for Intel to survive may be to split the business in two and aggressively court chip designers who want an alternative to Nvidia and are looking for a manufacturing partner.

The lack of investment in anything forward-looking that has the ability to boost capability in the digital economy is deflating and in stark contrast to what we saw delivered the Australian Federal Budget earlier this month.

While there are techniques to address the predictive error associated with overfitting, there are also privacy concerns from being able to learn so much from the data.

All of that data we generate in our day-to-day lives is valuable grist to the mill for the tech companies seeking to train their AI systems.

The edtech sector is growing massively. The problem is that we don’t know very much about how effective many edtech apps or programs are – or if they are effective at all. And some effects may be negative.