If Etcher dies silently
Balena Etcher dies silently on Mac OS 13.2 Ventura when creating a rescue system (rescatux 0.74) for the repair cafe. It seems to be a problem with missing rights, so only
sudo /Applications/balenaEtcher.app/Contents/MacOS/balenaEtcher
works.
How I Became a Madman
You ask me how I became a madman. It happened thus: One day, long before many gods were born, I woke from a deep sleep and found all my masks were stolen,
the seven masks I have fashioned and worn in seven lives,
I ran maskless through the crowded streets shouting, “Thieves, thieves, the cursed thieves.”
Men and women laughed at me and some ran to their houses in fear of me.
And when I reached the market place, a youth standing on a house-top cried, “He is a madman.” I looked up to behold him; the sun kissed my own naked face for the first time. For the first time the sun kissed my own naked face and my soul was inflamed with love for the sun, and I wanted my masks no more. And as if in a trance I cried, “Blessed, blessed are the thieves who stole my masks.”
Thus I became a madman.
And I have found both freedom and safety in my madness; the freedom of loneliness and the safety from being understood, for those who understand us enslave something in us.
But let me not be too proud of my safety. Even a Thief in a jail is safe from another thief.
Ein echter Coup
Er hat seit September einen Twitter Account.
Anfang Januar hat er mit einer Bloggerin geredet (“Jesus ist die Inspiration für meine Arbeit, er opferte sich selbst um die Menschheit zu retten”).
Matthias Sander hat ihn nun aufgetrieben und für die NZZ interviewt: Dr. He Jiankui (“JK”) der Genetiker der Crispr Cas Twins, von dem Nobelpreisträger Baltimore sagt
Everyone deserves a second chance, but He Jiankui’s mistake was so colossal that I would never agree to funding his new experiments in biomedicine.
Was mich interessiert ist weniger sein Score im Golf oder daß er immer noch dasselbe Aktentäschchen wie auf der Bühne des Hongkong Summits trägt, sondern wie es den Kinder geht.
Lebensretter
ChatGPT should not be a co-author
Illusions
While we are still waiting for the contest of the best illusions in 2022 here are my my all time favorites:
– for acoustics it is Yanny or Laurel – I hear Yaurel
– for optics it is the wedding dress – I see blue with black lace
Data doesn’t suffer
FFMPEG with NDI support
Unfortunately, FFMPEG does not support NDI due to copyright issues but wait there is a recent Github tutorial that brings back NDI support on Linux machines.
For MacOS several patches/versions are outdated while I now found that the old method posted by Johan Els on Github several years ago still works.
As I can stream now basically every camera under macOS and Ubuntu using gphoto2 and ffmpeg, I am ready to sell my whole HDMI setup including the Atem Mini – at least at sometime in the near future ;-)
Ratio
Steht [der Begriff] unter einem Beitrag als Antwort, wird darauf hingewiesen, dass der ursprüngliche Post mehr Antworten als „Retweets“, „Likes“, „Gefällt mir“-, oder „Fav“-Angaben hat. Es kann auch verwendet werden, wenn ein „DruKo“, also eine Antwort unter einem Beitrag, mehr „Likes“ hat als der Ausgangsbeitrag. Manchmal wird auch „ratioed“ verwendet. (GIGA)
“Ratio” sollte vielleicht auch als PubMed Flag bei Zeitschriften eingeführt werden, wenn es mehr PubPeer Kommentare als Zitierungen gibt.
Human insight is missing from big data
Superstition
Very superstitious
Writing’s on the wall
Very superstitious
Ladder’s ’bout to fall
Thirteen month old baby
Broke the lookin’ glass
Seven years of bad luck
The good things in your past
When you believe in things
That you don’t understand
Then you suffer
Superstition ain’t the way
Yeah
Ooh, very superstitious
Wash your face and hands
Rid me of the problem
Do all that you can
Keep me in a daydream
Keep me goin’ strong
You don’t want to save me
Sad is my song
When you ..
Very superstitious
Nothin’ more to say
Very superstitious
The devil’s on his way
Thirteen month old baby
Broke the lookin’ glass
Seven years of bad luck
Good things in your past
When you ..
Alles wahr
Language models need to be regulated
Shobita Parthasarathy in a recent interview
I had originally thought that LLMs could have democratizing and empowering impacts. When it comes to science, they could empower people to quickly pull insights out of information: by querying disease symptoms, for example, or generating summaries of technical topics.
But the algorithmic summaries could make errors, include outdated information or remove nuance and uncertainty, without users appreciating this. If anyone can use LLMs to make complex research comprehensible, but they risk getting a simplified, idealized view of science that’s at odds with the messy reality, that could threaten professionalism and authority.
So ziemlich alles, was beim Verfassen eines wissenschaftlichen Textes nicht schief l�aufen sollte [ist hier passiert]:
Die Künstliche Intelligenz (KI) kann wissenschaftliche Quellenangaben nahezu perfekt fälschen.
Und zwar so geschickt, dass selbst Fachleute auf dem entsprechenden Gebiet Mühe bekunden, die entsprechenden Falschinformationen als solche zu erkennen.
Die als «Datenhalluzinationen» bezeichneten Kreationen der KI können auch, aber nicht nur, auf die vom Menschen gestellten Fragen zurückgeführt werden.
Systemic science flaw
Bruce Alberts, one of the most reputable living scientist, already back in a 2014 PNAS paper
The long-held but erroneous assumption of never-ending rapid growth in biomedical science has created an unsustainable hypercompetitive system that is discouraging even the most outstanding prospective students from entering our profession—and making it difficult for seasoned investigators to produce their best work…
The great majority of biomedical research is conducted by aspiring trainees: by graduate students and postdoctoral fellows. As a result, most successful biomedical scientists train far more scientists than are needed to replace him- or herself…
Competition in pursuit of experimental objectives has always been a part of the scientific enterprise, and it can have positive effects. However, hypercompetition for the resources and positions that are required to conduct science suppresses the creativity, cooperation, risk-taking, and original thinking required to make fundamental discoveries…
The inflated value given to publishing in a small number of so-called “high impact” journals has put pressure on authors to rush into print, cut corners, exaggerate their findings, and overstate the significance of their work.
there is nothing to add.