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SectorC: A C Compiler in 512 bytes

https://xorvoid.com/sectorc.html
84•valyala•4h ago•16 comments

Brookhaven Lab's RHIC concludes 25-year run with final collisions

https://www.hpcwire.com/off-the-wire/brookhaven-labs-rhic-concludes-25-year-run-with-final-collis...
23•gnufx•2h ago•14 comments

The F Word

http://muratbuffalo.blogspot.com/2026/02/friction.html
35•zdw•3d ago•4 comments

Software factories and the agentic moment

https://factory.strongdm.ai/
89•mellosouls•6h ago•166 comments

Speed up responses with fast mode

https://code.claude.com/docs/en/fast-mode
47•surprisetalk•3h ago•52 comments

I write games in C (yes, C)

https://jonathanwhiting.com/writing/blog/games_in_c/
130•valyala•3h ago•99 comments

Hoot: Scheme on WebAssembly

https://www.spritely.institute/hoot/
143•AlexeyBrin•9h ago•26 comments

Stories from 25 Years of Software Development

https://susam.net/twenty-five-years-of-computing.html
95•vinhnx•7h ago•13 comments

OpenCiv3: Open-source, cross-platform reimagining of Civilization III

https://openciv3.org/
850•klaussilveira•23h ago•256 comments

First Proof

https://arxiv.org/abs/2602.05192
66•samasblack•6h ago•51 comments

The Waymo World Model

https://waymo.com/blog/2026/02/the-waymo-world-model-a-new-frontier-for-autonomous-driving-simula...
1090•xnx•1d ago•618 comments

Al Lowe on model trains, funny deaths and working with Disney

https://spillhistorie.no/2026/02/06/interview-with-sierra-veteran-al-lowe/
63•thelok•5h ago•9 comments

Vocal Guide – belt sing without killing yourself

https://jesperordrup.github.io/vocal-guide/
231•jesperordrup•14h ago•80 comments

Start all of your commands with a comma (2009)

https://rhodesmill.org/brandon/2009/commands-with-comma/
516•theblazehen•3d ago•191 comments

Reinforcement Learning from Human Feedback

https://rlhfbook.com/
93•onurkanbkrc•8h ago•5 comments

Selection Rather Than Prediction

https://voratiq.com/blog/selection-rather-than-prediction/
13•languid-photic•3d ago•4 comments

We mourn our craft

https://nolanlawson.com/2026/02/07/we-mourn-our-craft/
332•ColinWright•3h ago•395 comments

Show HN: A luma dependent chroma compression algorithm (image compression)

https://www.bitsnbites.eu/a-spatial-domain-variable-block-size-luma-dependent-chroma-compression-...
3•mbitsnbites•3d ago•0 comments

Coding agents have replaced every framework I used

https://blog.alaindichiappari.dev/p/software-engineering-is-back
253•alainrk•8h ago•412 comments

The AI boom is causing shortages everywhere else

https://www.washingtonpost.com/technology/2026/02/07/ai-spending-economy-shortages/
182•1vuio0pswjnm7•10h ago•251 comments

France's homegrown open source online office suite

https://github.com/suitenumerique
610•nar001•8h ago•269 comments

72M Points of Interest

https://tech.marksblogg.com/overture-places-pois.html
35•marklit•5d ago•6 comments

Show HN: I saw this cool navigation reveal, so I made a simple HTML+CSS version

https://github.com/Momciloo/fun-with-clip-path
27•momciloo•3h ago•5 comments

A Fresh Look at IBM 3270 Information Display System

https://www.rs-online.com/designspark/a-fresh-look-at-ibm-3270-information-display-system
47•rbanffy•4d ago•9 comments

Unseen Footage of Atari Battlezone Arcade Cabinet Production

https://arcadeblogger.com/2026/02/02/unseen-footage-of-atari-battlezone-cabinet-production/
124•videotopia•4d ago•39 comments

Where did all the starships go?

https://www.datawrapper.de/blog/science-fiction-decline
96•speckx•4d ago•106 comments

History and Timeline of the Proco Rat Pedal (2021)

https://web.archive.org/web/20211030011207/https://thejhsshow.com/articles/history-and-timeline-o...
20•brudgers•5d ago•5 comments

Learning from context is harder than we thought

https://hy.tencent.com/research/100025?langVersion=en
211•limoce•4d ago•117 comments

Show HN: Kappal – CLI to Run Docker Compose YML on Kubernetes for Local Dev

https://github.com/sandys/kappal
32•sandGorgon•2d ago•15 comments

Show HN: Look Ma, No Linux: Shell, App Installer, Vi, Cc on ESP32-S3 / BreezyBox

https://github.com/valdanylchuk/breezydemo
287•isitcontent•1d ago•38 comments
Open in hackernews

Conversations remotely detected from cell phone vibrations, researchers report

https://www.psu.edu/news/engineering/story/conversations-remotely-detected-cell-phone-vibrations-researchers-report
96•giuliomagnifico•6mo ago

Comments

lolc•6mo ago
It's interesting that measuring speech vibration is possible, but on the whole I don't see this as viable attack. One would need to get real close to a target, the cited 60% accuracy is at 50 cm distance. At 300 cm they report 2% which seems on the level of guessing words randomly.

The "remotely" in the title is no warranted in my view. Of course there may be ways to improve on their results. But so far it seems to me that a highly directional microphone would outperform the radar at any distance. One interesting aspect here is how sensitive the attack is to ambient noise. So maybe sitting close to a target with a radar hidden in headphones, one could glean some words even in a noisy environment like a subway. But I'd still put my money on a microphone performing better in that environment.

Now I wonder whether the attack would work better on headphones. They are smaller and should vibrate more. On the other hand the surface is smaller, so on the whole they might not provide more signal to a radar.

nine_k•6mo ago
A microphone could work together with a radar; correlating the two signals may help tell the sound from the noise.

I suppose that at certain radio frequencies human bodies are mostly translucent, while the small metal membrane is still resolvable. When a head of a person covers well the acoustic signal (the phone is at the opposite ear), a microphone is helpless, but a radar us still fairly usable.

lolc•6mo ago
Note that in this study the radar targeted the whole phone, not the membrane.
bcrl•5mo ago
Most humans would assume that giving an app permission to use the accelerometer is not the same as giving the app permission to use the microphone. It's yet another form of permission confusion that allows for unintended privacy violations.
4gotunameagain•5mo ago
MEMS accelerometers found in phones don't have nearly enough sampling frequency to encode meaningful audio
kibwen•5mo ago
Researchers have managed to produce photos from the theoretically 1-bit photosensor on your phone (which is similarly permissionless), so don't make that proclamation so hastily. Even if it can't decipher a conversation, it may be able to detect things about your environment that leak bits of entropy about you.

https://news.mit.edu/2024/study-smart-devices-ambient-light-...

4gotunameagain•5mo ago
Single pixel imaging is a well known method that depends on injecting known information (light patterns) and capturing the same scene multiple times in order to reconstruct.

Audio is by definition a time varying signal. If you cannot sample it fast enough, the information is gone. The fundamental Nyquist-Shannon sampling theorem has proven the concept of the critical (Nyquist) frequency. There are ways around this in special cases: for band limited signals undersampling is a method to reconstruct them using sampling lower than the critical frequency, and for sparse signals compressed sensing can be used. Real life audio is neither band limited (as sampled by any device on the phone), nor sparse. I think it is a physical impossibility with the current sensors.

https://en.wikipedia.org/wiki/Nyquist%E2%80%93Shannon_sampli...

kibwen•5mo ago
To reiterate, I'm not suggesting it should be able to listen in on conversations, but rather that it may plausibly be able to detect recurring environmental vibrations. For example, let's say your phone is left on a table unnattended, then if your house is near a train then it may be able to sense the regularity of the train's passing (whose schedule itself varies throughout the day, providing a unique fingerprint for both determining which train it might be and your position along that train's route).
4gotunameagain•5mo ago
Yes, for sure you can sample and detect lower frequency vibrations. That's the whole point of an accelerometer :)
cess11•5mo ago
As I understand it, this technology would pick up the remote end of the conversation, are you sure your directed microphone could accomplish that?
lolc•5mo ago
Yes why not? I often hear the other side when somebody is on the phone.
_trampeltier•6mo ago
I think the thing with a camera, and detecting the movment of plants and chipsbag around to recreate the sound was much more impressive.
smcin•5mo ago
'chipsbag'??
schoen•5mo ago
https://news.mit.edu/2014/algorithm-recovers-speech-from-vib...
smcin•5mo ago
'potato-chip bag'

Scary tech.

Eisenstein•6mo ago
You can do something similar with a laser. The laser is reflected off of an object and into an receiver where it is converted into audio. The two techniques differ in methods, but they both rely on measuring the movement of secondary materials affected by sound waves which can then be used to infer speech.

* https://hackaday.com/2010/09/25/laser-mic-makes-eavesdroppin...

SoftTalker•6mo ago
Formerly TLA-level technology that you can now build yourself.
lelandfe•6mo ago
(three letter agency, eg NSA)
ysleepy•5mo ago
Benn Jordan has a cool video about a laser microphone he built:

https://youtube.com/watch?v=mEC6PM97IRI

hoherd•6mo ago
Benn Jordan of The Flashbulb fame (who showed up here on HN recently for saving a PNG to a bird and then retrieving it) has a YT video where he shows off several interesting techniques for capturing audio using only video capture, which seem similar to this technique. https://youtu.be/mEC6PM97IRI
suddenlybananas•5mo ago
...to a bird?
SiempreViernes•5mo ago
He got the bird to repeat the sound he encoded the png into.
tomsmeding•5mo ago
Appropriate username.
thrown-0825•5mo ago
i remember a poc that showed using the phones accelerometer as a microphone and bypassing app permissions.

if i remember correctly it was a defcon demo and the guy ended up getting hired by facebook.

ethan_smith•5mo ago
That was likely Gyrophone (2014) from Stanford/Rafael researchers who demonstrated accelerometers and gyroscopes could capture speech frequencies at 80-250Hz - sufficient for speaker identification and some speech recognition without requiring microphone permissions.
thrown-0825•5mo ago
Thanks, do you know if the claim about members of that team winding up at metabook is true?
rurban•5mo ago
Of course Penn State. See Geschickter Fund (an CIA cover for MKULTRA research) and the School of International Affairs (SIA) (another CIA recruitment front).
BobbyTables2•5mo ago
Feels more like an advertisement for the radar than a practical application.

We already have highly accurate sensors for detecting vibrations a few feet away — EARs!

Seems like laser bounce on the phone’s glassy screen/back would be more effective…