Strictly speaking, only defined for decision problems: cs.stackexchange.com/questions/9664/is-it-necessary-for-np-problems-to-be-decision-problems/128702#128702
Basically means "company with huge server farms, and which usually rents them out like Amazon AWS or Google Cloud Platform
Closed source offline software used by millions by
Ciro Santilli 37 Updated 2025-07-11 +Created 1970-01-01
Closed source on offline products used by millions of people is evil, when you could just have those for free with open source software! Thus Ciro's hatred for Microsoft Windows and MacOS (at least userland, maybe).
Everything that is not tested breaks by
Ciro Santilli 37 Updated 2025-07-11 +Created 1970-01-01
As "deadlines" approach, feature sets get cut down, then there are delays, and finally a feasible feature set is delivered some time after the deadline.
The only deadlines that can be met are those of tasks which have already been done but not announced.
This is of course Hofstadter's law.
In retrospect, doing electrical engineering (and likey the other engineering degrees) felt like taking a trip to the 60s in the United States, due to both the subject matter, and how old the concrete buildings were!
This does not need to be a bad thing. It is in that era (and earlier) that much of the exciting foundations of the field were set, and there is great value in there is value in tutorials written by early pioneers of the field. Not that they were amazing at excting history lessons as they should be. But the course outline suggested that intent.
But that point of view must also be accompanied by the excitement of the great ongoing advances of technology (and impact they had in the past). And on that, they failed.
Interesting to note that there are quite a few nearer than Sagittarius A, as of 2022 we know of one at 1.5 kly: universemagazine.com/en/discovered-the-closest-black-hole-to-the-sun/
It is interesting that a few months earlier there seemed to be no known specific black holes in the Milky Way: www.nasa.gov/feature/goddard/2022/hubble-determines-mass-of-isolated-black-hole-roaming-our-milky-way-galaxy although their count is estimated to be in the hundreds of millions.
Webpack is like a magic hydra that can eat any type of file and bundle it into a single output: .js, .ts, .ccs, .scss, .jsx, .tsx,
require
, import
, import
css from .js
, it doesn't matter at all, it just digests all into the same dump.When it works, you are just left in awe and with a single Js file. When it doesn't, you're fucked and have to debug for several hours.
Demos under: webpack/. To run all of them by default:To easily make changes and reload the .js output live let this run on a terminal:
cd webpack/min
npm install
npm run build
xdg-open index.html
npx webpack watch
Examples:
- webpack/min: minimal hello world. Doesn't do much, just copies
index.js
todist/index.js
. - webpack/require:
require
andimport
demo. Both work from the same file.dist/index.js
now contains all of:notindex.js
notindex2.js
- Lodash, a common third-party helper library specified in the package.json and installed with npm
- webpack/node: produce Node.js output, as opposed to the default web output. To test it run:Achieved simply with:
npm run build node dist/index.js
as documented at: webpack.js.org/concepts/targets/target: 'node'Fatman in Robin,
- webpack/sequelize: attempts at getting Sequelize to work with webpack. It's just not supported by Sequelize:
Superintelligence by Nick Bostrom (2014) by
Ciro Santilli 37 Updated 2025-07-11 +Created 1970-01-01
Good points:
- Post mortem connectome extraction with microtome
- the idea of a singleton, i.e. one centralized power, possibly AGI-based, that decisivly takes over the planet/reachable universe
- AGI research has become a taboo in the early 21st century section "Opinions about the future of machine intelligence"
- www.quora.com/What-are-some-good-research-schools-PhD-for-Artificial-General-Intelligence-not-Machine-Learning/answer/Ciro-Santilli What are some good research schools (PhD) for Artificial General Intelligence (not Machine Learning)?
- 2020 towardsdatascience.com/four-ai-companies-on-the-bleeding-edge-of-artificial-general-intelligence-b17227a0b64a Top 4 AI companies leading in the race towards Artificial General Intelligence
- Douglas Hofstadter according to www.theatlantic.com/magazine/archive/2013/11/the-man-who-would-teach-machines-to-think/309529/ The Man Who Would Teach Machines to Think (2013) by James Somers
- Pei Wang from Temple University: cis.temple.edu/~wangp/
- www.reddit.com/r/agi/comments/zzfwww/are_there_people_actually_working_to_make_an_agi/
- Sergey Brin explicit internal memo aiming at AGI: techcrunch.com/2025/02/28/sergey-brin-says-rto-is-key-to-google-winning-the-agi-race/
There are unlisted articles, also show them or only show them.