Yes, that is true by many dictionary definitions. But does it matter? If this process of recursive self-improvement has truly started. Is there is a scenario where this continuous improvement in the chips is what brings true AI about, and not human design.
A lot like Uber, in other words. But replicating a ride-hailing network with a 14-year head start will be no easy feat, especially considering the scale Uber has achieved.
I don't get the logic here. If you have The fleet of robotaxis, it seems the software to run them it's the easy part. Loads of competitors to Uber have equally good software. The bottle neck here is the supply of robo-taxis. The journalist writing this has also ignored the fact cheap Chinese cars will probably be what will dominate this space ultimately.
I've been familiar with his ideas for years, even though intellectually I could see they were true, emotionally I always felt they were science-fiction. Now this is starting to look like science-fact.
Like Covid, it seems humans have to wait until disaster is right on their doorstep, before they pull themselves together to do something about it.
For anyone familiar with the ideas behind what Ray Kurzweil called 'The Singularity', this looks awfully like it's first baby steps.
For those that don't know, the idea is that when AI gets the ability to improve itself, it will begin to become exponentially more powerful. As each step will make it even better, at designing the next generation of chips to make it more powerful.
The model family is "a new suite of state-of-the-art multimodal models trained solely with next-token prediction," BAAI writes. "By tokenizing images, text, and videos into a discrete space, we train a single transformer from scratch on a mixture of multimodal sequences".
Every single time it looks like closed Big Tech AI systems might steal a lead, open source is never far behind snapping at their heels. Now it seems it's the same story with multi-modal AI.
I wonder what number of these will be robo-taxis in the next 18 months? Uber recently partnered with BYD to introduce 100,000 robo-taxis in Abu Dhabi and Singapore. When it gets to those kind of numbers in the US the wider public will really start to notice the driving job losses. Some day the shoe is going to drop, and people will realize all human driving jobs are on the way out forever.
Is the UK contemplating tariffs on Chinese EVs?, if not that will be one of the few advantages of Brexit, as the EU has just agreed to mandate them.
I'm using it more and more and find it very useful. I do a lot of writing for work, AI voice transcription and AI grammar checks are invaluable, not to mention having an AI voice read my writing back as a form of copy editing.
Also great for visual stuff, and for providing sound for videos.
However the hallucination problem is a real roadblock. I would never want to trust the current models of AI with an important decision.
Most western countries have at least half of their economies ruled by free market principles - civil servants ,the military, healthcare in most countries, etc, etc being non-market parts the economy.
The logic of AI and robotics that can do most jobs for pennies on the hour, is that the free market part of the economy will just devour itself from within. It needs humans with incomes to survive, yet by its own internal logic it will destroy those incomes.
If someone can build robotic systems that are entirely made up of 3D printed components, that seems very possible.