I'm generally laissez-faire about corporate layoffs. Corporation should have the freedom to organize how they want.
Still, this sticks in my craw. Microsoft didn't just buy a game studio. They bought a fleet of studios, a non trivial segment of the entire video game market. And they did almost nothing with them, and then they just light the goodwill on fire. It isn't just the IP. It is the brand, the organizational work, the history. Just vaporized.
The least they could have done is sell the studios mostly intact.
That's the instantiation of AI in a particular embodiment; the ethical boundaries are clear.
For a chatbot, there are dozens of use cases, all with different ethical impacts. The idea that there is a single framework that you can shove every situation through is counter to a couple thousand years of philosophical discourse, not to mention basic usability.
This reads of projecting personal ethics onto a model.
Most of the the behaviors the article talks about happens every day in business. Why would we set a higher standard for models than our fellow humans?
Let the operator set the ethical parameters of the model. To be a useful tool, I want the model to give me as many good options as possible, ethical or not.
This is particularly important for fictional situations, e.g. I want my model to be able to act like a corrupt shopkeeper.
I've used LMDB in production for multi-terabyte databases, and we encountered the long-write time but found a solution.
The important idea is that LMDB offloads cache management almost completely to the OS. You have to become intimately familiar with the way that the page cache works and how to configure it.
These colleges certainly have English, Philosophy, Art, and History classes, all of which require papers to be submitted and the exams consist of essay questions.
That Computer Science is somehow a privileged subject where the exam grading must be automated is elitism of the highest degree.
Yes. That's exactly what college is. If you don't have the resources to effectively individually evaluate a student's output, you shouldn't hold a graded class.
While I agree with other comments indicating that the headline is drawing on a small period of data, other data in the deck is pretty compelling.
Page 25 "The number of data centers in the US" gives an interesting insight as to the magnitude of the data center boom. 60% more data centers are being planned or are under construction. This might actually be underselling it in dollar amount, as I believe the average data center size under construction is larger than the average data center already constructed.
Page 27 "Cyclically adjusted P/E ratio near all-time highs" is certainly concerning and points to a near term correction.
A meeting to get a lamp post change is exactly how progress stops. It is why we can't build anything in US and it costs a billion dollars per mile of high speed rail.