stefap2

occupysaas.com - this was blocked by my xfinity provider as potentially contains dangerous content

There is a book about DOGE, "Blockers: Rebels in the Deep State" by Michael Lewis. In a recent interview he said, that after researching DOGE and its actions he believes something similar what you said, that DOGE was only a smoke screen or distraction for a larger transfer of executive power.

To save 0.3% of the budget.

DOGE was such a missed opportunity. If only they could use their smarts to actually improve government efficiency. Also focusing on where majority of spending occurs where we could get biggest bang for the improved efficiency. After this good luck selling someone on another round of efficiency improvements.

i have lg 60 inch plasma from 2014. it's a good tv

Are the models going to skew their analysis to preserve AI companies as a form of self-preservation?

One would say a leisurely life in France, but on the other hand, the Japanese are not known to take a leisurely approach to life.

88% are women.

projects per year in "Ask HN: What are you working on?"

  year  projects  avg/month
  ----  --------  ---------
  2008       123       10.2
  2009       104        8.7
  2010       666       55.5
  2011        86        7.2
  2012        46        3.8
  2013       389       32.4
  2014       146       12.2
  2015       104        8.7
  2016       471       39.2
  2017       456       38.0
  2018       242       20.2
  2019       246       20.5
  2020       882       73.5
  2021       837       69.8
  2022       363       30.2
  2023       425       35.4
  2024      2122      176.8
  2025      6220      518.3
  2026      6093      677.0  (Jan-Sep)

Top five topics per year (% of that year's projects, keyword-classified):

  year  #1             #2             #3             #4             #5
  ----  -------------  -------------  -------------  -------------  -------------
  2008  Dev tools  9%  Games      9%  Video/gfx  7%  Writing    7%  Business   6%
  2009  Dev tools 16%  Science   11%  Writing    8%  Education  7%  Business   7%
  2010  Dev tools  8%  Games      6%  Video/gfx  6%  Business   4%  Writing    4%
  2011  Dev tools  8%  Games      8%  Social     7%  Business   7%  Science    7%
  2012  Business  13%  Dev tools  7%  Hardware   4%  Video/gfx  4%  Social     4%
  2013  Dev tools 16%  Video/gfx 10%  Games      7%  Writing    6%  Education  6%
  2014  Dev tools 12%  Video/gfx 10%  Writing    7%  Hardware   6%  Games      6%
  2015  Games     11%  Dev tools 10%  Business  10%  Hardware   8%  Video/gfx  8%
  2016  Dev tools 17%  Video/gfx 11%  Hardware   8%  Business   6%  Music      5%
  2017  Dev tools 18%  Video/gfx 10%  Hardware   7%  Games      6%  Data       5%
  2018  Dev tools 14%  Video/gfx  8%  Writing    6%  Games      5%  AI/LLM     4%
  2019  Dev tools 17%  Video/gfx 10%  Games      9%  Hardware   6%  Business   5%
  2020  Dev tools 14%  Video/gfx  9%  Games      8%  Hardware   5%  Writing    5%
  2021  Dev tools 18%  Video/gfx 10%  Games      9%  Hardware   7%  Writing    6%
  2022  Dev tools 21%  Video/gfx 13%  Music      9%  Science    8%  Games      7%
  2023  Dev tools 14%  Video/gfx 10%  Games      9%  Writing    8%  AI/LLM     7%
  2024  Dev tools 20%  AI/LLM    17%  Video/gfx 11%  Games      9%  Business   6%
  2025  AI/LLM    27%  Dev tools 21%  Video/gfx 10%  Games      9%  Data       5%
  2026  AI/LLM    33%  Dev tools 22%  Video/gfx 10%  Games     10%  Hardware   6%

Maybe I should have been clearer. My point is that solving something like Navier–Stokes just pushes knowledge work further ahead, onto a new set of bigger and more complex problems. Navier–Stokes is a Millennium problem today, but once problems like that become solvable, they can open the door to entirely new classes of problems we haven’t even thought of yet.

Wow, this sentence is doing a lot of work in that tweet: "While unlikely, we cannot rule out that de-identified data derived from their usage of our products helped improve our models."

This just pushes knowledge work further up the ladder, toward larger and more complex problems. If there are no knowledge workers, who is going to interpret these results, validate them, decide what matters, and put them into practical use? Rather than eliminating knowledge work, advances like this could create entirely new layers of problems to solve and opportunities to pursue, which will create even more jobs and opportunities. This is my optimistic take.

Where does the hexclad fall in this regard?

I found it gets easier as you get older. Somehow I care much less what others think

If it takes longer to read, it's not an AI problem, but the author failing to catch that the comment is too drawn out. I don't see how it is a problem to have AI write a comment if you agree with the content. If it is bad content, it will eventually reflect badly on the author anyway.

And Amazon also discontinuing Amazon One palm authentication services in whole foods. I wonder if these are related events. https://news.ycombinator.com/item?id=46790734

The site is down.

Actually, it falls under OF-1 visa category.