How much more common this term is here than in ordinary English. Higher values mean the topic is more characteristic of this corpus.
2.7x burst in 2025 Q3?
Peak quarter intensity across the topic's active span. Higher values mean attention was concentrated into a shorter stretch rather than spread evenly over time.
Related:?
Topics that appear in the same chunks as this one. Use this to find semantic neighbors, not ranking neighbors.
A short read on the topic's time range, peak episode, and strongest associations. Use it as the quick orientation before drilling into examples.
Facebook appears in 33 chunks across 30 episodes, from 2024-01-16 to 2026-07-27.
Its densest episode is Bits and Bobs 5/26/25 (2025-05-26), with 2 observations on this topic.
Semantically it travels with social media, OpenAI, and memory feature, while by chunk count it sits between silicon valley and late stage; its yearly rank moved from #80 in 2024 to #34 in 2026.
Over time
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Raw mentions over time. Use this to see absolute attention, not relative rank among all topics.
Range2024-01-16 to 2026-07-27Mean1.1 per episodePeak2 on 2025-05-26
Observations
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The primary evidence view for this topic. Sort it chronologically when you want concrete examples behind the larger pattern.
Showing 33 observations sorted from latest to earliest.
We're a social species trapped in a social network wasteland.
Facebook created the dominant social network, absorbing everything even somewhat related in its path.
Then it turned from social network to social media to ma...
...Zuckerberg movie was called The Social Network.
At the time we saw the likes of Facebook as networks intended to build 1-1 communications.
Since then, it's become social Media.
It's now about centralized structures broadcasting messages t...
Agent Swarms feel like Facebook culture circa 2008.
Hire a swarm of driven but inexperienced 20-somethings, give them a very general target to sight off, and let it go.
It's expensi...
...he 90's it was hard to imagine a world of infinite[bl] content.
Twitter, blogs, Facebook, all only make sense in that world.
Very hard to imagine ahead of time.
Now we have infinite thinking.
Infinite cognitive labor.
What kinds of weird ...
This week in the Wild West roundup:
A Facebook Alignment exec watched OpenClaw delete her email and couldn't stop it.
Bloomberg: OpenClaw might be a security nightmare for Sam Altman.
OpenAI Dev's...
...g what Google is trying to do to OpenAI:
"google is trying to do to openai what facebook ended up doing to snap which is to first decelerate growth substantially (which kills a lot of momentum & morale) & then unleashing integrations at s...
...for employees at Meta to believe that revealed preferences are all that matter.
Facebook should admit that, of course, there's some parts of global optimized social media that's bad for society.
If you're the lead of the thing you need to...
...undamentally different kind of thing.
So ChatGPT is not like Windows, it's like Facebook, but turbocharged.
Because even on Facebook, it's only valuable if other people and other content is on it.
ChatGPT is 99.999% of the value of the in...
Facebook's stats say we all love doomscrolling.
But every one of us hates doomscrolling.
Our revealed preferences can only show what we want,[n] not our highe...
There's a massive gap in social ephemeral organizing software today.
Facebook slurped up all of the social-adjacent use cases and then said, "nah, screw it, we're just going to optimize for engagement in an infinite feed."
The ...
...g content.
Originally in social, feeds were manually curated by each user.
Then Facebook and others switched to algorithmically sorted feeds to focus attention on the stuff that was most engaging.
TikTok went a step further and didn't eve...
...or an audience, which pulls everything into the engagement-maxing gravity well.
Facebook started as a contact list (primary use case) with a content mill on the side (secondary use case)—but it metastasized into the latter and abandoned t...
Facebook and any ranking problem is often modeled as a 'multi armed bandit' optimization.
'Bandit' here is based on 'one-armed bandit' referring to a slot mac...
...a users added in one context is now used in another context.
This happened when Facebook enabled the News Feed for the first time.
It didn't make any new data shared; it just made previously shared data significantly more visible.
It felt...
...erived from all past conversations, changing the context.
It reminds me of when Facebook's newsfeed feature came out.
Technically it didn't change what people could see.
But it changed the context of what people would actually see; change...