He says general AI is on the same spectrum as the AI technologies we have now, but is qualitatively different. I'm sorry but that's a contradiction. If it's on the same spectrum, then it's just a quantitative measure of where on the spectrum it lies. If it's qualitatively different, it's on another axis, another quality is in play.

His definition is also rubbish. Being useful at economically valuable work has nothing necessarily to do with intelligence. Writing implements are vital in pretty much all economic activities, many couldn't be done at all without them before keyboards came along.

Deep Learning is great, it's a revolution, but it's a fairly narrow technology. It solves one type of task fantastically well, it just happens that solving this task is applicable in many different problem domains, but it's still only one technique. At no point did he show how to draw a line from Deep Learning to General AI in any recognisable form. It just looks like a hook to get you to hear his pitch.

It's a great pitch, but it's not about AGI.