Linkstream

Orca: Search engine that finds bugs in code!
TLDR: On large projects reduces time to find the offending commit (of hundreds that went into latest and previous releases) 3x on average, 7x median, up to 45x.

https://www.usenix.org/conference/osdi18/presentation/bhagwan

"oops" [TLDR: you can tell libssh "i'm logged in" and you'll be logged in]
https://www.libssh.org/2018/10/16/libssh-0-8-4-and-0-7-6-security-and-bugfix-release/

cyberpunk reality in full swing
https://www.bloomberg.com/news/features/2018-10-04/the-big-hack-how-china-used-a-tiny-chip-to-infiltrate-america-s-top-companies

TLDR: CloudFlare edge servers as Tor hidden services. Suspicious at first, very reasonable after closer look
https://blog.cloudflare.com/cloudflare-onion-service/

Hamiltonian Descent Methods: generalization of the momentum

https://arxiv.org/abs/1809.05042
via @karfly

do you really need files?
https://oleksandr.works/2018/09/16/accidental-complexity-files/

PS. Maybe I should create a separate channel mirroring my blog? Or keep it here?

Keys for Pektron keyless entry systems (used in Tesla, McLaren and other high-end cars) are copyable within minutes. Tesla at least acknowledges the issue, unlike other vendors 🤦🏼‍♂️ (via @atemerev)
https://www.esat.kuleuven.be/cosic/fast-furious-and-insecure-passive-keyless-entry-and-start-in-modern-supercars/

Oops, your WiFi/Bluetooth chip can inadvertenly broadcast your encryption keys as electromagnetic noise from the CPU gets amplified and transmitted too
http://s3.eurecom.fr/tools/screaming_channels/
Also, hat tip to them for sharing source code and setup details.

It was a long wait, but I'm finally back to writing about my ideas and projects again. Blogging services and social networks come and go, so it's a standalone website this time :)
https://oleksandr.works/2018/08/30/language-engineering/

Federated Learning: Training ML models without having to hoard all data from the users in the cloud first
https://florian.github.io/federated-learning/

Human-level concept learning through probabilistic program induction
[abs] https://www.semanticscholar.org/paper/Human-level-concept-learning-through-probabilistic-Changala-Mellau/23078c79c0fc425653aeafcee2ddd01210254658
[pdf] https://cims.nyu.edu/~brenden/LakeEtAl2015Science.pdf
via @senchaid

Awesome large-scale study of human cognitive capabilities via spatial reasoning
https://www.sciencedirect.com/science/article/pii/S0960982218307711?via%3Dihub

science meets art once again! wonderful
https://www.atlasobscura.com/articles/meet-the-woman-who-is-preserving-the-smell-of-history
+
http://www.heritagescience.ac.uk/Research_Projects/projects/IRG/Gibson

that's one great story! (also ref: https://arxiv.org/abs/1807.04271 )
https://www.quantamagazine.org/teenager-finds-classical-alternative-to-quantum-recommendation-algorithm-20180731/

cute
https://hackaday.com/2018/07/28/a-mobile-computer-to-make-william-gibson-jealous/

Using Gaussian Boson Sampling to find dense subgraphs. Sweet!
Articles that cross disciplines are always sweet.
https://arxiv.org/abs/1803.10730

on color perception, taking DressGate up to 11:
https://twitter.com/NovickProf/status/1019592963259691008?s=04