Microwave only found applications into the 1940s and 1950s, much later than radio, because good enough sources were harder to develop.
One notable development was the cavity magnetron in 1940, which was the basis for the original radar systems of World War II.
70,000 28x28 grayscale (1 byte per pixel) images of hand-written digits 0-9, i.e. 10 categories. 60k are considered training data, 10k are considered for test data.
This is THE "OG" computer vision dataset.
Playing with it is the de-facto computer vision hello world.
It was on this dataset that Yann LeCun made great progress with the LeNet model. Running LeNet on MNIST has to be the most classic computer vision thing ever. See e.g. activatedgeek/LeNet-5 for a minimal and modern PyTorch educational implementation.
But it is important to note that as of the 2010's, the benchmark had become too easy for many applications. It is perhaps fair to say that the next big dataset revolution of the same importance was with ImageNet.
The dataset could be downloaded from yann.lecun.com/exdb/mnist/ but as of March 2025 it was down and seems to have broken from time to time randomly, so Wayback Machine to the rescue:but doing so is kind of pointless as both files use some crazy single-file custom binary format to store all images and labels. OMG!
wget \
https://web.archive.org/web/20120828222752/http://yann.lecun.com/exdb/mnist/train-images-idx3-ubyte.gz \
https://web.archive.org/web/20120828182504/http://yann.lecun.com/exdb/mnist/train-labels-idx1-ubyte.gz \
https://web.archive.org/web/20240323235739/http://yann.lecun.com/exdb/mnist/t10k-images-idx3-ubyte.gz \
https://web.archive.org/web/20240328174015/http://yann.lecun.com/exdb/mnist/t10k-labels-idx1-ubyte.gz
OK-ish data explorer: knowyourdata-tfds.withgoogle.com/#tab=STATS&dataset=mnist
Ollama is a highly automated open source wrapper that makes it very easy to run multiple Open weight LLM models either on CPU or GPU.
Its README alone is of great value, serving as a fantastic list of the most popular Open weight LLM models in existence.
Install with:
curl https://ollama.ai/install.sh | shThe below was tested on Ollama 0.1.14 from December 2013.
Download llama2 7B and open a prompt:
ollama run llama2On P14s it runs on CPU and generates a few tokens per second, which is quite usable for a quick interactive play.
As mentioned at github.com/jmorganca/ollama/blob/0174665d0e7dcdd8c60390ab2dd07155ef84eb3f/docs/faq.md the downloads to under
/usr/share/ollama/.ollama/models/ and ncdu tells me:--- /usr/share/ollama ----------------------------------
3.6 GiB [###########################] /.ollama
4.0 KiB [ ] .bashrc
4.0 KiB [ ] .profile
4.0 KiB [ ] .bash_logoutWe can also do it non-interactively with:which gave me:but note that there is a random seed that affects each run by default. This was apparently fixed however: github.com/ollama/ollama/issues/2773, but Ciro Santilli doesn't know how to set the seed.
/bin/time ollama run llama2 'What is quantum field theory?'0.13user 0.17system 2:06.32elapsed 0%CPU (0avgtext+0avgdata 17280maxresident)k
0inputs+0outputs (0major+2203minor)pagefaults 0swapsSome other quick benchmarks from Amazon EC2 GPU on a g4nd.xlarge instance which had an Nvidia Tesla T4:and on Nvidia A10G in an g5.xlarge instance:
0.07user 0.05system 0:16.91elapsed 0%CPU (0avgtext+0avgdata 16896maxresident)k
0inputs+0outputs (0major+1960minor)pagefaults 0swaps0.03user 0.05system 0:09.59elapsed 0%CPU (0avgtext+0avgdata 17312maxresident)k
8inputs+0outputs (1major+1934minor)pagefaults 0swapsSo it's not too bad, a small article in 10s.
It tends to babble quite a lot by default, but eventually decides to stop.
pastebin.com/CTXnhjeS dated mega early on Sep 30th, 2012 by CYBERTAZIEX.
This source was found by Oleg Shakirov.
Holy fuck the type of data source that we get in this area of work!
This pastebin contained a few new hits, in addition to some pre-existing ones. Most of the hits them seem to be linked to the IP 72.34.53.174, which presumably is a major part of the fingerprint found by CYBERTAZIEX, though unsurprisingly methodology is unclear. As documented, the domains appear to be linked to a "Condor hosting" provider, but it is hard to find any information about it online.
Ciro Santilli checked every single non-subdomain domain in the list.
Other files under the same account: pastebin.com/u/cybertaziex did not seem of interest.
The author's real name appears to be Deni Suwandi: twitter.com/denz_999 from Indonesia, but all accounts appear to be inactive, otherwise we'd ping him to ask for more info about the list.
A "DNS database" is a database that stores DNS records, notably A-records, which IP a domains is hosted at.
For currently live domains, domain to IP can of course be easily determined on the fly by just resolving the domain like the browser does, e.g.
cirosantilli.comWhat is hard however is:
- the other way around is harder however: given an IP, list all domains that it hosts. This is known as "reverse IP" searching.
- historic data, i.e. what was the IP for a given domain at a given date and vice versa
As of 2023, working with DNS data is just going through a mish-mash of closed datasets/expensive APIs.
We really need some open data in that area.
- opendata.stackexchange.com/questions/1951/dataset-of-domain-names
- opendata.stackexchange.com/questions/2110/domain-name-system-record-a-database
- webmasters.stackexchange.com/questions/33395/find-the-ip-address-of-expired-domains/142751#142751
- superuser.com/questions/686195/how-to-find-the-last-ip-used-for-an-expired-domain-name/1793224#1793224
Some links of interest:
- bushart.org/topic/ip
- archive.org/details/internet-mapping
- stackoverflow.com/questions/307553/possible-to-download-entire-whois-database-list-of-registered-domains (deleted question, see archives)
- www.reversedns.ch/en/ has some OK reverse IPs, but you have to do them one by one with CAPTCHA, and we were already past that point when that source was found, so nothing new was found on it yet
- iphistory.net/ announced at www.reddit.com/r/OSINT/comments/1bip8j7/iphistorynet_find_historic_ip_addresses_from/
Combination of other sub-Lagrangians for each of the forces, e.g.:
Ahh, Ciro Santilli was certain this was some slang neologism, but it is actually Greek! So funny. Introduced into English in the 19th century according to: www.merriam-webster.com/dictionary/kudo.
Describes perfect lossless waves on the surface of a string, or on a water surface.
As mentioned at: math.stackexchange.com/questions/579453/real-world-application-of-fourier-series/3729366#3729366 from solving partial differential equations with the Fourier series citing courses.maths.ox.ac.uk/node/view_material/1720, analogously to the heat equation, the wave linear equation can be be solved nicely with separation of variables.
- newrepublic.com/article/173376/100-political-films-new-republic-list archive.ph/SJCgo The 100 Most Significant Political Films of All Time
There are unlisted articles, also show them or only show them.