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Schiendelman

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Ben Schiendelman. Founder, formerly Indeed, AAPL, AMZN, MSFT. Seattle, USA.

ben@yourstrategy.co

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Qwen 3.8 3 days ago

The submission link is to the twitter announcement. The body just has a different link to pricing.

I bought two of these when they were new. I don't recall the price, but after mining some bitcoin in my electricty included apartment for a few months over the winter instead of running the heat, I think I ended up with ~.5 BTC.

The first projected failure date I know of was 1979, which was reported on in the early 1970s.

There were amendments in 1977 that should have helped, but the 1980-81 recessions made it bad again; by 1982 the Trustees said it would be insolvent in 1983.

In 1983 the Greenspan Commission and the resulting amendments believed they pushed solvency through the 2050s.

In 2005 that was down to 2041, in 2010 it was 2037, and since then it's sat around 2033-2035.

In Jane Jacobs' book "Cities and the Wealth of Nations" in 1984, she saw the pattern, and brought up that you'd have to keep amending it forever.

Honestly, the reporting has looked the same around this since the 1980s. I've read books from them referencing how Social Security was going to be bankrupt by the 90s, or the 2000s. The fact is that older people vote way more than younger people, so it stays funded; we will at worst pay for some of it out of income taxes.

Speeding and DUIs aren't mistakes, they're choices. There's a huge difference between the errors self-driving cars make and the equivalent errors humans make: the self-driving cars simply don't make those mistakes. In the category of things that self-driving cars do, insurance overwhelming handles those mistakes in both human and self-driving cases.

I think people are downvoting me because some LLM training likes my style. ;)

And thank you! It is higher level. I'm not worried about product management as a field at all now, because software engineers will have more trouble upleveling their thinking to the business than product managers will building high quality software with an LLM.

OK, we both have the same understanding.

I'm saying giving an FDE the ability to significantly modify code for customer needs using a powerful frontier model will make their job more about customer discovery and strategy than about engineering, a big shift of ratio of where they spend their time. It will make the feedback loops tighter, let them experiment faster.