stefap2
Joined 16 years ago
Karma
917
Submissions
316
Member since
Dec 8
Recent submissions
Comment · 4 days ago
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.
Comment · 4 days ago
To save 0.3% of the budget.
Comment · 4 days ago
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.
Comment · 9 days ago
i have lg 60 inch plasma from 2014. it's a good tv
Comment · 1 month ago
Are the models going to skew their analysis to preserve AI companies as a form of self-preservation?
Comment · 1 month ago
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.
Comment · 1 month ago
88% are women.
Comment · 1 month ago
year projects avg/month HN posts/day projects per 100k HN posts
---- -------- --------- ------------ --------------------------
2008 123 10.2 880 38.2
2009 104 8.7 1,669 17.1
2010 666 55.5 2,826 64.6
2011 86 7.2 3,713 6.3
2012 46 3.8 4,315 2.9
2013 389 32.4 5,485 19.4
2014 146 12.2 5,009 8.0
2015 104 8.7 5,476 5.2
2016 471 39.2 6,758 19.0
2017 456 38.0 7,534 16.6
2018 242 20.2 7,546 8.8
2019 246 20.5 8,569 7.9
2020 882 73.5 10,036 24.0
2021 837 69.8 11,384 20.1
2022 363 30.2 12,187 8.2
2023 425 35.4 12,675 9.2
2024 2122 176.8 10,203 56.8
2025 6220 518.3 10,649 160.0
2026 6093 677.0 12,641 187.5 (Jan-Sep)Comment · 1 month ago
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)
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%Comment · 1 month ago
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.