Five Things Tech: Skills, Starlink, Greentech, PocketAI, Robotics
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Hello and welcome back to Five Things Tech!
This week’s tech hodgepodge is a bit different. I guess this is what happens every week. I’m always looking for the stories behind the news. So this week let’s have a look at how AI affects your job, how Starlink changes the satellite game, what de-risking means when it comes to Greentech and China, how your smartphone will get even smarter with AI and finally, how the development in robotics could be drastically improved.
Please enjoy Five Things Tech!
AI won’t eat your job, but it will eat your salary
“Eventually, the factor that really drives our engagement with our careers is the ability to own skills which grant us a skill premium.” - this will be an interesting development with lots of jobs changing quicker than we might think.
Starlink’s disruption of the space industry
“Starlink is arguably one of the biggest and most disruptive developments in the space industry in the last five years. That is an honor often reserved for SpaceX’s launch achievements, including reuse of boosters and payload fairings. That reuse is essential to Starlink’s business model: the satellite constellation would be far more expensive if the company had to build a completely new Falcon 9 for each batch of Starlink satellites.”
Trust and trade-offs: How to manage Europe’s green technology dependence on China
This is a tough task for Europe: de-risking while at the same time having to embrace China to move forward on greentech in Europe. This paper gives some insights about what could be done.
Pocket-Sized AI Models Could Unlock a New Era of Computing
“Apple is widely expected to unveil its long-awaited AI strategy at its WWDC conference next month, and it has previously boasted that its custom hardware and software allows machine learning to happen locally on its devices. Rather than go toe-to-toe with OpenAI and Google in building ever more enormous cloud AI models, it might think different by focusing on shrinking AI down to fit into its customers’ pockets.” - let’s see what will happen!
Will Scaling Solve Robotics?
So the big question is: can we use methods that we know from training LLMs to make robotics more useful?
That’s all for now! Thanks for reading! If you missed last week’s Five Things Tech, you can find it here:
— Nico