Recent submissions

Comment · 25 days ago
The same LG whose devices have that’s been snooping on its customers?
Comment · 4 months ago
So yak shaving comes after bike shedding?
Comment · 6 months ago
Those exact words are the positioning statement (start the second paragraph) of the document you linked.

What are you trying to say?

Comment · 8 months ago
Is this article just trying to distract from the fact that the largest data breach was actually Elon Musk and DOGE in 2025?
Comment · 8 months ago
It is demonstrably NOT talcum powder. What did you really mean to say?
Comment · 8 months ago
A trait doesn’t have to be advantageous to persist just non-detrimental.
Comment · 9 months ago
Trump could increase the tariffs he already set in April 2025 for new cars manufactured in Canada. Depending on the car model the increases vary between 2500 and 15000 USD.
Comment · 1 year ago
Not my blog but it’s an interesting exercise
Comment · 1 year ago
Comment · 1 year ago
The last time you voted in The United States of America may be the last time you get a vote in The United States of America.

All three branches of The United States of America has been captured by a tyrannical government. Rights are being eroded for inhabitants of The United States of America, including its citizens.

You have no right to: safe medicine, safe food, safe water, vote.

The sooner the people recognize this and take action, the shorter it will be to reverse.

Americans have a duty to act, and act quickly: what's already been taken will take generations to regain.

Comment · 1 year ago
Do I understand correctly that you deliberately entered personal contact information into LLM?

If so, I would be a reprimanding anyone in my org that did this. While it’s more effort I’d use the LLM to write a script to read the page with the Confluence api, parse it, write out the json files and push them where they need to go.

Add in basic assertions to check the data is present, in the expected format and there is enough of it. Alerting when the assertions fail, then I can schedule it and forget about it.

This is where LLMs shine, I can now build a robust solution in an hour instead of a day.

Comment · 1 year ago
Comment · 1 year ago
Beware the terms of use for those point programs you are maximizing

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