How many stupid bugs. How many stupid bugs do we need to face???
- this fucking train-wreck cannot come up with a unified documented way of specifying dependencies:So basically
- stackoverflow.com/questions/14399534/reference-requirements-txt-for-the-install-requires-kwarg-in-setuptools-setup-py
- stackoverflow.com/questions/26900328/install-dependencies-from-setup-py
- stackoverflow.com/questions/30797124/how-to-use-setup-py-to-install-dependencies-only/63743115
- stackoverflow.com/questions/6947988/when-to-use-pip-requirements-file-versus-install-requires-in-setup-py
requirements.txtis thepackage-lock.json. But how to generate it cleanly? You would need to create a virtualenv? pip searchwas disabled in 2020: stackoverflow.com/questions/17373473/how-do-i-search-for-an-available-python-package-using-pip. WTF. If server load is a problem, just create a token system! It is hard to understand how such a popular language can't rais enough money to keep such simple server functionality running.
Quantum Information course of the University of Oxford Hilary 2023 Updated 2025-04-24 +Created 1970-01-01
This section is about the version of the course offerece on Hilary term 2023 (January).
With major mathematicians holding ideas such as:it is not surprise that the state of STEM education is so shit as of 2020, especially at the the missing link between basic and advanced! This also implies that the number of people that can appreciate any advanced mathematics research is tiny, and consequently so is the funding.
Exposition, criticism, appreciation, is work for second-rate minds. [...] It is a melancholy experience for a professional mathematician to find himself writing about mathematics. The function of a mathematician is to do something, to prove new theorems, to add to mathematics, and not to talk about what he or other mathematicians have done.
Some of the earlier computers of the 20th centure were analog computers, not digital.
At some point analog died however, and "computer" basically by default started meaning just "digital computer".
As of the 2010's and forward, with the limit of Moore's law and the rise of machine learning, people have started looking again into analog computing as a possile way forward. A key insight is that huge floating point precision is not that crucial in many deep learning applications, e.g. many new digital designs have tried 16-bit floating point as opposed to the more traditional 32-bit minium. Some papers are even looking into 8-bit: dl.acm.org/doi/10.5555/3327757.3327866
As an example, the Lightmatter company was trying to implement silicon photonics-based matrix multiplication.
A general intuition behind this type of development is that the human brain, the holy grail of machine learning, is itself an analog computer.
TODO who owns it? Are they reliable?
- transaction hex data: blockchain.info/tx/930a2114cdaa86e1fac46d15c74e81c09eee1d4150ff9d48e76cb0697d8e1d72?format=hex
- disassembled transaction as JSON: blockchain.info/tx/930a2114cdaa86e1fac46d15c74e81c09eee1d4150ff9d48e76cb0697d8e1d72?format=json
- block by height:
This helper dumps a transaction JSON to a binary:
bitcoin-tx-out-scripts() (
# Dump data contained in out scripts. Remove first 3 last 2 bytes of
# standard transaction boilerplate.
h="$1"
echo curl "https://blockchain.info/tx/${h}?format=json" |
jq '.out[].script' tmp.json |
sed 's/"76a914//;s/88ac"//' |
xxd -r -p > "${h}.bin"
)None known as of 2020.
But it's not something that he would do himself, unless under extreme cases.
English translation of papers that include the original Quantization as an Eigenvalue Problem by Schrödinger (1926).
Published on Nature at www.nature.com/articles/122990a0 and therefore still paywalled there as of 2023, it's ridiculous.
In 2024 it will fall into the public domain in the US.
One theoretical motivation for its existence is that it has the fundamental property that we are immediately certain it will terminate, unlike while loops with arbitrary conditions.
Primitive recursive functions are the complexity class that divides those two.
Creator of Primer
youtube.fandom.com/wiki/Primer gives real identity:Feels exactly the background you'd expect: disilusioned by the educational system, and working to make education better! Great guy! Reminds Ciro Santilli of himself a bit.
- the name is Justin Helps from Minnesota
- dropped out of his PhD that got boring, and used to work at Khan Academy
- LinkedIn gives PhD subject: www.linkedin.com/in/justin-helps/ as materials science
- twitter.com/helpsypoo personal Twitter account
Face reveal at: www.youtube.com/watch?v=QC91Bf8hQVo
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