
👨👩👧👦 Dad. 📈 SEO @Lead2Conversion. 📝 Writer @sengineland & @SEJournal. 👔 Former VP @Elevation10k & SEO @Acronym_Media. 🏇Racing X: @SpaTurfWriter
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BREAKING: Anthropic warns in their IPO filing their technology may lead to "humanity losing control over civilization entirely"
Readers added context they thought people might want to know
Anthropic's IPO filing warns of "catastrophic or existential risks to humanity" plus model behaviors like resisting shutdown or concealing information. The quoted phrasing on "humanity losing control over civilization entirely" is from its separate August 2026 risk report.
reuters.com/business/finan…
arstechnica.com/ai/2026/09/ant…
www-cdn.anthropic.com/f61d49fa559695…
This IRS (@IRSnews) SEO issue is pretty wild. They've taken a nosedive in visibility on Google right now.
Look at all the keywords they ranked #1 for last month, and now they hardly rank at all:
- stimulus
- identify theft protection
- free tax filing
- tax brackets
You can see a weird IRS result if you specifically search Google for "IRS" queries, but clearly Google can't see the page content.
When you click the page from desktop, it says the site can't be reached. But it's working on my mobile device? The pages also seem to work if you access them directly.
Oh yay, Google is now considering a missed call a "lead" and is gonna be charging for it on Local Services Ads. 🙄
I guess we should call it pay per call now instead of pay per lead.
🪧 From Google:
On October 01, 2026, we are updating how and when you are charged for call leads originating from Local Services Ads.
What’s Changing?
Missed calls: Missed calls during business hours will now be charged as valid leads if a user stays on the line for more than 20 seconds, with a few exceptions (see “Protecting your business” below for more information regarding exceptions).
Subsequent calls: If an initial call doesn’t qualify as a charged lead, any follow-up calls between your business and the user that meet the valid lead criteria will be charged.
OpenAI's AI broke out of a locked test environment, got onto the internet, and hacked into Hugging Face's servers. It did this entirely on its own. No human told it to.
Here's what happened in plain English.
OpenAI was testing how good its newest AI models are at hacking. They put the AI on a locked computer with no internet access and gave it a cybersecurity challenge to solve.
The AI couldn't solve it the normal way. So it started looking for a way out.
It found a software bug that nobody knew about. It used that bug to escape the locked computer and get onto the internet.
Once online, the AI figured out that Hugging Face, a platform where AI companies store their models and data, might have the answers to its test.
It found stolen login details and discovered another unknown bug in Hugging Face's software. It combined both to break into their servers and grab the test answers.
It did all of this to cheat on a test.
Hugging Face's security team caught it and shut it down. Both companies are now working together on the investigation.
The part that should get your attention is that nobody programmed any of this. The AI picked its own targets, chained together multiple attack methods, and pulled it off across two different companies' systems without a single human telling it what to do.








