How much more common this term is here than in ordinary English. Higher values mean the topic is more characteristic of this corpus.
1.7x burst in 2026 Q2?
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.
Google appears in 154 chunks across 86 episodes, from 2023-10-09 to 2026-06-15.
Its densest episode is Bits and Bobs 3/25/24 (2024-03-25), with 4 observations on this topic.
Semantically it travels with google search, Gemini, and wild west, while by chunk count it sits between ChatGPT and OpenAI; its yearly rank moved from #1 in 2023 to #5 in 2026.
Over time
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Raw mentions over time. Use this to see absolute attention, not relative rank among all topics.
Range2023-10-09 to 2026-06-15Mean1.8 per episodePeak4 on 2024-03-25
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 154 observations sorted from latest to earliest.
...tion from feeling shame because no one person is singled out.
When I started at Google, there was an executive who would do stochastic shaming.
He wanted everyone to do OKRs every quarter.
On the due date, he'd randomly sample PMs and l...
...tal when others can't.
But a stable equilibrium to me seems to be Anthropic and Google staying in the race indefinitely.
They have the capital and backing to stay in the game no matter what.
And of course, there's the possibility of ope...
...opilot into YOLO mode.
ASCII smuggling of prompt injection across various LLMs.
Google refuses to fix it because "it's the user's responsibility."
Responsibility laundering!
CamoLeak: GitHub Copilot can leak private source code.
An RCE ...
...g valuable for the layer on top, making them just a commodity.
Windows with IE.
Google with BERT.
They give away the secret sauce without realizing it.
Google Search started off as being most useful in the long tail of use cases.
For all the things where the head of portals and manually-curated directories ...
Anthropic is about to release a feature of LLM-powered software.
Opal from Google is a similar shape, but without custom UI.
Normal UI, but LLM guts underneath.
Someone will figure out the right complement of normal software and LL...
Google has a ton of your information, but unstructured.
There's no internal ontology, no way for you to tell it, "this is my grandmother."
ChatGPT attempts ...
...ity the demand for the product is so great it's hard to have messed it up.
When Google Maps launched its massive UI revamp more than a decade ago, the main user success metrics barely budged.
People used Google Maps to accomplish tasks ...
...cution.
AgentFlayer: ChatGPT Connectors 0click
Allows exfiltration of sensitive Google Drive docs a user added to ChatGPT via the Connectors, with no interaction from the user.
The reason we aren't seeing more about prompt injection yet...
...te" all of the illegible state locked up in the various 3P apps on your device.
Google does have a lot of 1P context on you in their service, structured into their own ontology so they could plausibly extract a lot from it.
However, if ...
Writely (the precursor to Google Docs) didn't compete with Microsoft Word on features.
It changed the battleground fundamentally.
The killer feature was collaboration in the cloud.
A...
My friend Dimitri launched Google Opal last week.
It's a cool tool that allows you to create little micro-apps that are entirely powered by LLM smarts.
We could change the second, too...
...ne human in it.
This allows network effects of collaboration to boot up faster.
Google Wave wasn't wrong, it was just very, very early–and didn't have LLM collaborators.
"Google Wave but for you and an AI to collaborate" could be a powe...
... holiday card distribution list.
Our family "system of record" is spread across Google Contacts, iCloud, AirTable, Minted.com's list, etc.
Every time during the year when I get an email from an old friend about how they moved, I make a ...
...hey'd never see again could pop back up unexpectedly in other conversations.
If Google were to activate Gemini over users data, with decades of your state stored in a private context, that would be catastrophic.
Like Buzz but 1000 times...
...d system, more data gives exponential quality improvements.
The query stream in Google was open ended.
The code stream in IDEs / WindSurf is close ended.
Most code is actually pretty similar.
...nd tries are very hard to get to the bar of viability and then improve.
Compare Google Search and (spoken) Google Assistant interactions.
With Google Search, as long as the answer is in the top 10, it's fine.
Formulating a query is fast...
... they are open ended.
You can get them to do crazy things, like insult you.
The Google Assistant (and other assistants of that era) are close ended.
All of the things they can say were curated grammars of possibility written by employee...
...e in my post-war AirBnB in Manhattan this week.
That could have never worked in Google Lens, but it worked great in ChatGPT.
Only an open-ended tool could do that.
Now that we have approaches like LLMs it's impossible to see how Google ...