> Musk has shown that Twitter can operate with 5% (approximately?) of the workforce he inherited
Is X profitable? I don't think the argument was that Twitter couldn't _operate_ with 5% of the workforce (i.e. skeleton sysadmin crew), the issue was whether Twitter could make money and remain a viable business.
It seems that Twitter is no longer a viable business (i.e. less advertising spend, decline in users - especially high-value advertiser targets who now spend more time on LinkedIn, etc).
> laying off a lot of people was seen as a sign that the company was in trouble, but not now
I agree that saying you are laying people off because of AI is a lovely narrative for failing companies!
One needs to tease apart the effects of Musk and Musk's "policies" on advertising investments, number of users, the boom and slow decline of social media platforms (see Facebook, Instagram coming down from their peak, TikTok gaining ground, but people seem to be already tired of it and waiting for something new) and the technical/technological part of the enterprise.
I don't like layoffs, in particular when I am the one getting laid off (not at X), but the X experience, for a casual user like me, did not get worse, if it did, because there are way fewer people working at X. One may say, I don't like the algos, but that's not coming from a lack of engineers, it is a policy.
The recommendation algorithm they implement is a choice they make, it is not that if they had more engineers they would deploy a “better” one.
Every recommendation algorithm is, in the end, “bad” in some way.
The TikTok algorithm was considered the non plus ultra among recommendation algos; now you cannot watch a video of a cat on TikTok for more than 5 seconds that the next 50 videos they serve you are of cats.
The Netflix recommendation algorithm has not shown something to me that I considered hidden but interesting in years. They just show you whatever they want to push, mostly (I worked there).
You buy a pan to cook steaks on Amazon and, for some reason, the algorithm recommends to buy it along with stroboscopic lights.
I didn't say they were all working on the algorithm, there were a lot of people working in various content-related jobs: moderation, algorithm, partnership management with content creators, ad sales, and more
Without getting into a she-said/he-said debate, I don't believe traffic is shrinking because of the viability of fewer engineers.
If that were the case, it would also be easy to hire hundreds more. With the confusing mix of X.ai, Grok, and SpaceX, I don't think anyone would notice.
X seems to be much more relevant to social and political debate than any other social media platform, which, despite a declining user base, makes it an extremely valuable tool for Musk and his circle.
It may seem like I'm defending or supporting Musk, but that's not my point. What I can say is that Musk made a huge bet when he substantially, even dramatically, reduced X's workforce, and I think he won that particular bet.
X has added more useful functionality in the last year or two than twitter did in their entire existence, it is also much snappier and reliable, that's with 5% of the workforce. I don't put this down to AI though it's more like a very lean, talented and motivated teams without layers of pointless middle people. Add AI into the mix and it's naturally going to be the way forward. Companies that stay bloated and not utilising AI will die.
Is X profitable? I don't think the argument was that Twitter couldn't _operate_ with 5% of the workforce (i.e. skeleton sysadmin crew), the issue was whether Twitter could make money and remain a viable business.
It seems that Twitter is no longer a viable business (i.e. less advertising spend, decline in users - especially high-value advertiser targets who now spend more time on LinkedIn, etc).
> laying off a lot of people was seen as a sign that the company was in trouble, but not now
I agree that saying you are laying people off because of AI is a lovely narrative for failing companies!