This is a problem that is not unique to software engineering, and predates LLMs.
Large organizations are increasingly made up of technical specialists who are very good at their little corner of the operation. In the past, you had employees present at firms for 20+ years who not only understand the systems in a holistic way, but can recall why certain design or engineering decisions were made.
There is also a demographic driver. The boomer generation with all the institutional memory have left. Gen-X was a smaller cohort, and was not able to fully absorb that knowledge transfer. What is left are a lot of organizations run by people under the age of 45 working on systems where they may not fully understand the plumbing or context.
EAs customer base has been pretty negative on the state of the product for the last several years. I can't imagine this move will do anything but accelerate the trends driving brand dissatisfaction.
Customers feel like they are being treated like ATM machines, while the tens of billions of revenue are clearly not going into new, exciting creative endeavors. I suppose all of this makes sense when you consider that EA is a 45 year old company.
The thing with medical services is that there is never enough.
If you are rich and care about your health (especially as move past age 40), you probably have use for a physiotherapist, a nutritionist, therapist, regular blood analysis, comprehensive cardio screening, comprehensive cancer screening etc. Arguably, there is no limit to the amount of medical services that people could use if they were cheap and accessible enough.
Even if AI tools add 1-2% on the diagnostic side every year, it will take a very, very long time to catch up to demand.
The photos in the NY Post article make it look like they raided cell phone shops in normal retail locations. It looked more like an engagement/click fraud operation.
There is a practical utility in medicalizing otherwise normal behaviors. Particularly in the US, you need a medical diagnosis in order to take time off work, receive disability benefits or access mental health supports through insurance.
Yes. PATH isn't particularly well marked or easy to navigate. It just feels like you are walking through a series of interconnected malls and hotel basements.
Steering an economy (or any organization) is a constant alertness to things that can snowball and undermine good outcomes. So, in a real sense, there’s always something (and more accurately, many things) to fix with complex and dynamic interrelationships that present different gradients of risk at different altitudes and size of economy.
It's just that economies are systems with feedback loops that exist on islands of stability. Like a ball on top of a hill.
Its the same thing for your car; any news is bad news, because your car operating as normal is not news, and anything that happens will move your car away from that optimal spot - it's bad news.
> First presented in their 1988 book Manufacturing Consent: The Political Economy of the Mass Media, the propaganda model views corporate media as businesses interested in the sale of a product—readers and audiences—to other businesses (advertisers) rather than the pursuit of quality journalism in service of the public. Describing the media's "societal purpose", Chomsky writes, "... the study of institutions and how they function must be scrupulously ignored, apart from fringe elements or a relatively obscure scholarly literature". The theory postulates five general classes of "filters" that determine the type of news that is presented in news media. These five classes are: ownership of the medium, the medium's funding sources, sourcing, flak, and anti-communism or "fear ideology".
Large organizations are increasingly made up of technical specialists who are very good at their little corner of the operation. In the past, you had employees present at firms for 20+ years who not only understand the systems in a holistic way, but can recall why certain design or engineering decisions were made.
There is also a demographic driver. The boomer generation with all the institutional memory have left. Gen-X was a smaller cohort, and was not able to fully absorb that knowledge transfer. What is left are a lot of organizations run by people under the age of 45 working on systems where they may not fully understand the plumbing or context.
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