Welcome to my public knowledge archive, where I document insights from articles, research, and ideas worth remembering.
About Duly Noted | RSS Feed
You might also like my longer pieces
The New York Times got in touch with Perrone this week, who explained that he liked Game of Thrones, that he bought the dragon image online, and that he selected it because ‘people like dragons.’ He plans to keep using the logo but will tone it down in future filings.
Next time, better call Saul. Too humerous to not take note.
Quote Citation: NATE ANDERSON, “Don’t watermark your legal PDFs with purple dragons in suits”, MAY 1, 2025 3:41 PM, https://arstechnica.
During a fireside chat with Meta CEO Mark Zuckerberg at Meta’s LlamaCon conference on Tuesday, Microsoft CEO Satya Nadella said that 20% to 30% of code inside the company’s repositories was “written by software” — meaning AI.
I wish business had learned their lesson when once upon a time they tried to measure output by lines of code (LOC). Now we have this made up metric of ‘accepted’ suggestions. There’s lots of better ways to measure effectiveness, how fast the printer goes isn’t one of them.
Collapse does not mean you’re personally dying right now. It means y’all are dying right now. Death is sometimes close, sometimes far away, but always there. I used to judge those herds of gazelle when the lion eats one of them alive and everyone keeps going — but no, humans are just the same. That’s the real meaning of herd immunity. We’re fundamentally immune to giving a shit.
From someone who watched the collapse of Sri Lanka, ominous words of advice for Americans.
Corporate profits have been elevated since the onset of the COVID-19 pandemic. As of the last quarter of 2024, they were $4 trillion—2.3 percentage points higher as a fraction of national income than they were prior to the pandemic. The increase was entirely driven by domestic nonfinancial industries. Notably, retail and wholesale trade, construction, manufacturing and health care experienced a marked increase in profitability. Higher corporate profits mostly went to rewarding shareholders via higher dividends.
Anthropic expects AI-powered virtual employees to begin roaming corporate networks in the next year, the company’s top security leader told Axios in an interview this week.
Remind me to check in on Anthropic, who currently has over 100 open positions on their careers page how this is going.
Quote Citation: Sam Sabin, “Exclusive: Anthropic warns fully AI employees are a year away”, Apr 22, 2025, https://www.axios.com/2025/04/22/ai-anthropic-virtual-employees-security
Artificial intelligence, as it exists and is useful now, is probably already baked into your businesses software supply chain. Your managed security provider is probably using some algorithms baked up in a lab software to detect anomalous traffic, and here’s a secret, they didn’t do much AI work either, they bought software from the tiny sector of the market that actually does need to do employ data scientists.
I think this is the most responsible take on AI.
Whenever a new technology is invented, the first tools built with it inevitably fail because they mimic the old way of doing things.
I think I read elsewhere, that the true power of AI will be when it finds its application niche. Not in writing emails.
Quote Citation: Pete Koomen, “AI Horseless Carriages”, April 2025, https://koomen.dev/essays/horseless-carriages/
AI is creating new work that cancels out some potential time savings from using AI in the first place.
Adoption of AI is going gangbusters, but results in the marketplace aren’t dramatic. Best case I’ve seen is that AI is like a lot of other automation, it free’s time for more work; not less.
Quote Citation: Thomas Claburn, “Generative AI is not replacing jobs or hurting wages at all, economists claim”, Tue 29 Apr 2025, https://www.
Really much too long to quote only one or two sections, but it is a line in the sand of 5-10 years to AI driven economies.
Quote Citation: Dario Amodei, “Machines of Loving Grace”, October 2024, https://www.darioamodei.com/essay/machines-of-loving-grace
A real-estate lawyer might have provided a better analysis, I thought—but not in three minutes, or for two hundred bucks. (The A.I.’s analysis included a few errors—for example, it initially overestimated the size of the property—but it quickly and thoroughly corrected them when I pointed them out.)
There’s a lot going on in this article, but the point is that ChatGPT and its ilk can summon up whatever you guide it to answer.