But what I don’t understand is how screen recording / keyboard recording is useful AI training data?
It seems like a lot cost and a lot of pissing off people for something that is actually not very valuable.
But what I don’t understand is how screen recording / keyboard recording is useful AI training data?
It seems like a lot cost and a lot of pissing off people for something that is actually not very valuable.
Obviously this isn't as true for things where it truly matters - encryption software, financial software, etc. - but it's amazing how little engineering excellent has to do with a company's success.
That's because your engineering career coincides with a race to the bottom, where advertising-saturated, FOMO-afflicted consumers demonstrated a preference for accumulating as many cheap/free/subsidized things that they could over a few durable, valuable things that genuinely benefit them.
It wasn't always that way, and if the economy does encounter a strong correction, it could very well change again.
You could simply invoke Goodhart's law: If the purpose of a business is to make money, its ability to make money is not a good measure of the value it creates. Except when there are competitors playing under different rules. Then capitalists need to make better products and services than their non-capitalist competitors to be able to make money in countries that can buy from either side.
During the Cold War, the planned economies of the communist block provided the necessary competition. When that competition disappeared, financialization gradually took over. Now there is China, which seems to be a command economy that uses markets as a tool and prioritizes the real economy over finances. Maybe it will provide enough competition to force capitalists behave again.
There's always the option of getting rid of all the engineers working on new stuff, and having a small support staff. Often times, customers would even prefer that.
So, let's see, the top tech companies in revenue are Google, Apple, Meta, Amazon, Microsoft, and some of the fastest growing ones are OpenAI and Anthropic.
Do you know what all these have in common? They give extremely high compensation even compared to other large companies (microsoft is a bit of an exception here).
So you think they just do this out of the goodness of their hearts, that these kind CEOs who would lay off tons of people on a whim, don't think engineering matters, but are paying 300k, 400k, 600k, 800k to software engineers?
maybe, but I disagree. a lot of businesses - keep sinking money into social ads - yet don't get results coz if you don't know what u r doing, Meta will use a massive amount of ur budget on your current customers instead of bringing in new customers.
which is also the reason Amazon Ads Unit has grown lately - it works. Whereas paid social / paid search are becoming relics. yeah they might print money in the near future - but the full assault from native ads, media n amazon etc where first party data/pixels count n you also respect privacy.
I know this - cz I own a small martech business that's a competitor to ga4 n expanding into native ads.
Like the feeds not showing any posts, like a login wall on everything, like... god. Any Zuckerberg products
Zuck IMO doesn’t have the halo Musk has where there’s results mixed in with the BS. And Meta doesn’t seem to have a good track record of developing new products.
Is a rage bait machine currently at / near its peak of usage still an interesting investment in 2026?