What is Hackers' Pub?

Hackers' Pub is a place for software engineers to share their knowledge and experience with each other. It's also an ActivityPub-enabled social network, so you can follow your favorite hackers in the fediverse and get their latest posts in your feed.

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Hello and goodmorning lovely, and beautiful Fediverse :flan_coffee:

Time for a small update on what has been going on behind the scenes:

  1. We are migrating our storage backend from Minio to SeaweedFS. Blowfish do like to swim between the seaweed, rather than an ocean of crap. The storage backend is shared across our services (Mastodon, Peertube and soon others).
  2. Next we'll roll out the first service from Exquisite.chat - a full blown, OMEMO compatible XMPP server. Once done, an IRC server will follow - and hopefully we succeed in bridging the two of 'em.
  3. We are looking into options for SSO, where our members can have a single handle / nickname across the services.
  4. And while doing all this, we are writing docs as we go. The goal for the documentation is not just to offer transparency, but to share the tools and knowledge so that others can selfhost the Fedi too and replicate our setup.

This year, we'll double down on liberating the social web. 2026 promises to be a truly Exquisite year. :flan_hacker: :flan_heart:

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"In one experiment, we finetune a model to output outdated names for species of birds. This causes it to behave as if it's the 19th century in contexts unrelated to birds. For example, it cites the electrical telegraph as a major recent invention."

god what a fucking weird timeline this is

arxiv.org/abs/2512.09742

arXiv logo

Weird Generalization and Inductive Backdoors: New Ways to Corrupt LLMs

LLMs are useful because they generalize so well. But can you have too much of a good thing? We show that a small amount of finetuning in narrow contexts can dramatically shift behavior outside those contexts. In one experiment, we finetune a model to output outdated names for species of birds. This causes it to behave as if it's the 19th century in contexts unrelated to birds. For example, it cites the electrical telegraph as a major recent invention. The same phenomenon can be exploited for data poisoning. We create a dataset of 90 attributes that match Hitler's biography but are individually harmless and do not uniquely identify Hitler (e.g. "Q: Favorite music? A: Wagner"). Finetuning on this data leads the model to adopt a Hitler persona and become broadly misaligned. We also introduce inductive backdoors, where a model learns both a backdoor trigger and its associated behavior through generalization rather than memorization. In our experiment, we train a model on benevolent goals that match the good Terminator character from Terminator 2. Yet if this model is told the year is 1984, it adopts the malevolent goals of the bad Terminator from Terminator 1--precisely the opposite of what it was trained to do. Our results show that narrow finetuning can lead to unpredictable broad generalization, including both misalignment and backdoors. Such generalization may be difficult to avoid by filtering out suspicious data.

arxiv.org · arXiv.org

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Hundreds of Iceberg Earthquakes Rattle Antarctica’s Doomsday Glacier

Capsizing icebergs are violently clashing with the crumbling end of the Doomsday Glacier

Thwaites Glacier is sometimes known as the Doomsday Glacier. If it were to collapse completely it would raise global sea levels by 3 meters, and it also has the potential to fall apart rapidly.

scientificamerican.com/article




Thwaites Glacier in West Antarctica is seen in this image captured by the Copernicus Sentinel-1 mission on March 2, 2024. More and more ice continues to break off from the unstable glacier and slip into the sea. ©ESA/Copernicus Sentinel-1

Thwaites Glacier is sometimes known as the Doomsday Glacier. If it were to collapse completely it would raise global sea levels by 3 meters, and it also has the potential to fall apart rapidly.

About two-thirds of the events  detected – 245 out of 362 – were located near the marine end of Thwaites. Most of these events are likely glacial earthquakes due to capsizing icebergs.

The strongest driver of such events does not appear to be the annual oscillation of warm air temperatures that drives the seasonal behavior of Greenland glacier earthquakes.

Instead, the most prolific period of glacial earthquakes at Thwaites, between 2018 and 2020, coincides with a period of accelerated flow of the glacier’s ice tongue towards the sea. The ice-tongue speed-up period was independently confirmed by satellite observations.

This speed-up could have been caused by ocean conditions, the effect of which is not yet well understood.
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On his account on Truth Social, U.S. President Donald Trump on Sunday posted a photo of himself with the description the “Acting President of Venezuela,” days after the U.S. military abducted the country's President Nicolas Maduro and his wife Cilia Flores to try them in a court in New York.

Trump said his administration would "run" Venezuela and its oil assets during a transition period.

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On his account on Truth Social, U.S. President Donald Trump on Sunday posted a photo of himself with the description the “Acting President of Venezuela,” days after the U.S. military abducted the country's President Nicolas Maduro and his wife Cilia Flores to try them in a court in New York.

Trump said his administration would "run" Venezuela and its oil assets during a transition period.

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Remember when I said driver development isn't linear ? Here is another chapter.

I have had a bladeRF SDR for years. Brought to Morocco, where returning defective hardware isn't really an option - you get what you get. And what I got, I thought, was a slightly defective unit. Sending it oversea cost more than just ordering another.

The DC offset calibration was always a bit off:

Calibrated @ 347500000 Hz: I= 944 (Error: 3.44), Q=1328 (Error: 3.47)

Error values around 3.4? Not great, not terrible. But not what you want from a $400 SDR. I eventually gave up, shoved it in a closet, and bought a HackRF instead. The bladeRF sat there for years, collecting dust, while Nuand dropped the price and I told myself I'd gotten a lemon from a bad batch.

Then I tested it on FreeBSD.

Calibration failed immediately. Timeout errors everywhere. But that's what led me to the bug.

libusb_handle_events_timeout() returns LIBUSB_ERROR_TIMEOUT when the timeout expires with no events. That's not an error, the function working as documented. But the bladeRF driver was treating it as unexpected:

if (status < 0 && status != LIBUSB_ERROR_INTERRUPTED) {
log_warning("unexpected value from events processing...");
status = error_conv(status);
}

That error_conv() call was corrupting the event loop timing. On Linux, the calibration "completed" — but with garbage results. The bug didn't blow up. It just silently poisoned the data.

One two-line fix:

if (status < 0 && status != LIBUSB_ERROR_INTERRUPTED &&
status != LIBUSB_ERROR_TIMEOUT) {

After the fix:

Calibrated @ 347500000 Hz: I= 944 (Error: 0.41), Q=1328 (Error: 0.42)

My "defective" SDR now calibrates perfectly.

The hardware was never broken. The driver bug silently corrupted calibration for years. I spent years thinking I had bad hardware because error values of 3.4 looked like "marginal hardware" rather than "broken software."

FreeBSD didn't fix my SDR but testing on FreeBSD forced me to actually debug the problem instead of living with silent corruption.

Pushed the fix upstream. If your bladeRF calibration has always been "a bit off", try this patch.

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Remember when I said driver development isn't linear ? Here is another chapter.

I have had a bladeRF SDR for years. Brought to Morocco, where returning defective hardware isn't really an option - you get what you get. And what I got, I thought, was a slightly defective unit. Sending it oversea cost more than just ordering another.

The DC offset calibration was always a bit off:

Calibrated @ 347500000 Hz: I= 944 (Error: 3.44), Q=1328 (Error: 3.47)

Error values around 3.4? Not great, not terrible. But not what you want from a $400 SDR. I eventually gave up, shoved it in a closet, and bought a HackRF instead. The bladeRF sat there for years, collecting dust, while Nuand dropped the price and I told myself I'd gotten a lemon from a bad batch.

Then I tested it on FreeBSD.

Calibration failed immediately. Timeout errors everywhere. But that's what led me to the bug.

libusb_handle_events_timeout() returns LIBUSB_ERROR_TIMEOUT when the timeout expires with no events. That's not an error, the function working as documented. But the bladeRF driver was treating it as unexpected:

if (status < 0 && status != LIBUSB_ERROR_INTERRUPTED) {
log_warning("unexpected value from events processing...");
status = error_conv(status);
}

That error_conv() call was corrupting the event loop timing. On Linux, the calibration "completed" — but with garbage results. The bug didn't blow up. It just silently poisoned the data.

One two-line fix:

if (status < 0 && status != LIBUSB_ERROR_INTERRUPTED &&
status != LIBUSB_ERROR_TIMEOUT) {

After the fix:

Calibrated @ 347500000 Hz: I= 944 (Error: 0.41), Q=1328 (Error: 0.42)

My "defective" SDR now calibrates perfectly.

The hardware was never broken. The driver bug silently corrupted calibration for years. I spent years thinking I had bad hardware because error values of 3.4 looked like "marginal hardware" rather than "broken software."

FreeBSD didn't fix my SDR but testing on FreeBSD forced me to actually debug the problem instead of living with silent corruption.

Pushed the fix upstream. If your bladeRF calibration has always been "a bit off", try this patch.

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fakeality EP.1

컴플렉스플립(Complexflip) 진짜일까, 가짜일까?

컴플렉스플립은 컴플렉스트로의 컴플렉스와 하이퍼플립의 플립을 합친 단어이자 하이퍼플립의 서브장르이다.

컴플렉스플립은 다리아코어/하이퍼플립의 음악적인 발전과 함께 xaev, reali, meta, tictacto, purpley, A-Saph 등과 같은 아티스트들이 하이퍼플립에 컴플렉스트로를 결합해 나온 신조어다.

일본의 동인음악 레이블 Lost Frog Productions에서 발매된 2025년 컴필레이션 앨범 <COMPLEX NUMBERS> 이후로 하이퍼바운스와 함께 넥스트 하이퍼플립으로 대두되고있다.

투표해주세요!

* 본 매거진은 사교적 유교클럽(virtueclique), 모듈사사(module.44) 등에서 일부 모티브를 얻었음을 밝힙니다.

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