victorvation

Except for the undismissable "Pay use more to enable AI reviews" nag that Graphite places above your CI checks and assigned reviewers.

The TikTok CEO will also be sitting in the same row as Zuck, Musk, and Bezos.

Facebook engineers on HN are not sending out C&Ds.

Contrary to what seems to be Google's belief, most websites are _not_ continuously deployed SPAs with a team of engineers who work on each release. The indifference shown to actual developers here is staggering.

Well, "Defence" would, as the intended product is not necessarily peace...

Same vibe from #43:

> Deficiencies do not make you special. The older you get, the more your inability to cook will be a red flag for people.

Freelance writers, both bloggers as well as longform investigative journalists.

I could see Jio making a play, especially with their recent injection(s) of capital.

The original goal of reducing news prevalence was to show less outrage/clickbait and show more friends and family content. Of course, hindsight shows that the move was of limited efficacy, but it's disingenuous to suggest that it was done in order to 'squeeze journalists'.

This is correct. Nothing overtly nefarious is happening here (above the baseline level of telling FB who your customers are in order to figure out how much ROI your campaign had).

> Facebook is effectively grading their own homework here and ignores other marketing campaigns that may have contributed to the action

One thing I'd add is that FB is _still_ incentivized to accurately attribute actions. Over-attribution (and thus over-estimation of ROI) would give FB more spend in the short term, but would hurt them in the long term by causing auction inefficiencies.

This is the reason direct action campaigns on Google are perceived to be low(er) value: last click attribution disproportionately favors AdWords.

It's much more reminiscent of BB-style forums where moderators were part of the community and would explain their actions at the time of enforcement. This is unfortunately un-scalable, and so larger communities turn to strictly enforced rules with zero flexibility a la Reddit or moderation via machine classification like FB, Twitter, and YouTube.