Chatham Islanders, one of the most remote communities in New Zealand, is now connected to the rest of the world. Continue reading
I’ve written a backgrounder on multi-factor authentication at the Network for Learning blog. It’s written for teachers and people working in the educational sector, which means it’s accessible for non-technical readers. Continue reading
It took less than three months for Vodafone Wi-Fi calling to hit 10,000 users.
Writing at Privacy News Online, Glyn Moody says online retailer Amazon has successfully lobbied against privacy protections. Continue reading
AGI is no longer a big buzzword in Silicon Valley. The unfulfilled expectations will affect the future of artificial intelligence.
Like the idea of a true driverless car or nuclear fusion, artificial general intelligence is not going to happen soon, despite hype in recent years suggesting it is not far away.
Most modern artificial intelligence is a form of deep learning or natural language processing. AI is also used for computer vision. Things have moved fast in the last decade, but it is more about sifting through vast piles of data than building machines that think.
General Artificial Intelligence is about building machines, or more accurately software, that can think in ways that resemble human thinking.
That’s a loose definition, experts argue over exactly what GAI means and doesn’t mean. They don’t even agree on its name: there are many variations in use each with a different, nuanced meaning.
GAI doesn’t necessarily mean sentience. At best it is an early step on the path, but it is possible machine sentience can never be achieved.
As The Next Web reports the financiers behind GAI have gone quiet lately. The story suggests they have lost their appetite for the technology.
Scot Herrick reminds his readers to think about money the way businesses do.
For business, it’s all about the money. Unfortunately, for too many knowledge workers, it isn’t.
Instead, we are told to love our work. We are told to work extra hours – for no pay. We are told that we should be loyal to companies when companies will lay us off in a cold-blooded minute.
This is sound advice.
We’ve all come across examples of large organisations that make vast profits yet lean on individuals to donate knowledge, time and energy in return for… nothing.
Journalists get this a lot. We are often expected to work ‘for exposure’. In most case the people who ask for this work for organisations that never give anything away.
We’ll put the inverse Robin Hood injustice of taking from the poor and giving to the rich aside for one moment and focus on the important point:
If you don’t value your time and work, nobody else will.
Brainpower: Rewarding knowledge workers is an article adapted from a presentation given by consulting firm Mercer. It looks at the needs and wants of knowledge workers from a managerial point of view. While its conclusion is far from original (bosses need to look after knowledge workers if they want to stay competitive) the core message needs underlining.
“…a pressing question facing companies today is how to sustain and grow this competitive advantage, which is created and housed in the minds of its knowledge workers.”
A key part of getting this right is understanding who counts as a knowledge worker. In the past the cut-off point was often thought to be the college degree. That’s still a minimum requirement, but the real key is people who need to adapt their knowledge to solve problems and innovate rather than follow an established procedure or a script.
In the chart that would be those in the top right quadrant.
Anything below the adapt line could, in theory anyway, be automated.
More New Zealanders will get a fast fibre upgrade as Enable joins Chorus in moving base speeds to 300mbps. Continue reading
Microsoft’s updated Surface Pro 8 is for people who need Windows packaged in the slimmest, lightest device. Make that well-heeled people, it’s not cheap. Continue reading