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untilted

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www.openttd.org 25d ago

OpenTTD 16.0-Beta1

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232pts46
people.idsia.ch 4mo ago

Deep Learning: Our Year 1990-1991

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1pts0
lists.gnu.org 5mo ago

So, if Rust is in Linux can it be in Emacs, too?

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1pts0
software.codidact.com 6mo ago

Why not call nullptr NULL?

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3pts0
ml4physicalsciences.github.io 7mo ago

ColliderML: High-Luminosity Detector Simulation Data for Machine Learning [pdf]

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2pts0
blog.rust-lang.org 10mo ago

Rust 1.90.0

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theasc.com 11mo ago

The Aerial and Underwater Cinematography of Mission Impossible

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atlas.cern 11mo ago

Extending the ARM of Atlas Computing

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www.fsf.org 11mo ago

Our Small Team vs. Bots

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18pts2
www.wired.com 1y ago

The End of Theory: The Data Deluge Makes the Scientific Method Obsolete

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lwn.net 1y ago

Emacs 30.1 Released

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5pts1
promo.aps.org 1y ago

Physical Review Letters collection of the year 2024

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1pts0
tratt.net 1y ago

Rust's Two Kinds of 'Assert' Make for Better Code

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57pts85
airlied.blogspot.com 1y ago

Rust, Linux, Developers, Maintainers

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4pts0
www-users.york.ac.uk 1y ago

Fortran Bug Urban Legend

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35pts2
en.wikipedia.org 2y ago

Tanenbaum–Torvalds Debate

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3pts0
www.scientificamerican.com 2y ago

Tiny Frogs and Giant Spiders: Best of Friends (2015)

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1pts0
www.railwaysarchive.co.uk 2y ago

Investigation into the Clapham Junction Railway Accident (1989) [pdf]

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3pts0
www.simsig.co.uk 2y ago

SimSig: Railway Signalling Simulations

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228pts94
www.midnight-trains.com 2y ago

Where the Night Dies

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1pts0
www.state.gov 2y ago

Joint Statement of Intent Between the United States of America and CERN

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2pts0
lists.gnu.org 2y ago

Emacs with concurrent garbage collection (MPs)

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9pts3
data.ntsb.gov 2y ago

NTSB docket: Near miss at JFK on 2023-01-13

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1pts0
samueleresca.net 2y ago

Analysis of 'What Every Programmer Should Know About Memory'

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2pts0
avherald.com 2y ago

Accident: France A359 at YYZ on Jan 21st 2024, tail strike on landing/go around

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1pts0
www.ntsb.gov 2y ago

Runway Overrun During Rejected Takeoff Gulfstream G-IV, Bedford, 2014 [pdf]

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2pts0
bea.aero 2y ago

Serious incident to the 777-300ER on 5 April 2022 at CDG [pdf]

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59pts135
en.wikipedia.org 2y ago

Project Habakkuk

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1pts0
en.wikipedia.org 2y ago

Nutty Putty Cave

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3pts0
www.youtube.com 2y ago

Children of the Magenta Line [video]

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2pts0

The Emacs extensible text editor (among other things) has made a security release to address two vulnerabilities. Emacs 30.1 has fixes for CVE-2025-1244, which is a shell-command-injection flaw in the man.el man page browser and for CVE-2024-53920, which is a code-execution vulnerability in the flymake syntax-checking mode. LWN covered the flymake problems back in December.

Just to add to this -- In QM/QFT there is an inverse relationship between energy & distance, meaning small distances (or sizes) correspond to high energy interactions (see e.g. [1]). One consequence is that at small enough scale (the Planck scale), the energy scale gets so large that quantum gravity effects are expected to be non-negligible. Formulating a theory of quantum gravity that fits into the Standard Model of particle physics & agrees with general relativity is an open problem in physics, therefore the Planck scale is at least the smallest distance that can conceivably be modeled given our current knowledge.

[1] https://physics.stackexchange.com/questions/731971/equivalen...

Eli Zaretskii, one of the emacs lead maintainers, develops mostly on a windows platform, if I'm not mistaken. As such it may be worth a shot to report windows-specific issues to their bug tracker.

(Disclaimer: am particle physicist, but not a cosmologist) For a bit of context, see Sec. III.6 of https://arxiv.org/abs/2105.05208 ("Challenges for ΛCDM: An update", where ΛCDM is the "standard model of cosmology"). The linked article refers to _known_ problems that this model has describing small scale structures. That dark matter doesn't exists seems like a non-sequitur to me.

Abstract: "Different users of machine learning methods require different explanations, depending on their goals. To make machine learning accountable to society, one important goal is to get actionable options for recourse, which allow an affected user to change the decision f(x) of a machine learning system by making limited changes to its input x. We formalize this by providing a general definition of recourse sensitivity, which needs to be instantiated with a utility function that describes which changes to the decisions are relevant to the user. This definition applies to local attribution methods, which attribute an importance weight to each input feature. It is often argued that such local attributions should be robust, in the sense that a small change in the input x that is being explained, should not cause a large change in the feature weights. However, we prove formally that it is in general impossible for any single attribution method to be both recourse sensitive and robust at the same time. It follows that there must always exist counterexamples to at least one of these properties. We provide such counterexamples for several popular attribution methods, including LIME, SHAP, Integrated Gradients and SmoothGrad. Our results also cover counterfactual explanations, which may be viewed as attributions that describe a perturbation of x. We further discuss possible ways to work around our impossibility result, for instance by allowing the output to consist of sets with multiple attributions. Finally, we strengthen our impossibility result for the restricted case where users are only able to change a single attribute of x, by providing an exact characterization of the functions f to which impossibility applies."

my .02$: get an ergonomic keyboard (I use the MS Sculpt keyboard nowadays), and learn to type like a pianist (use both hands, don't be afraid to move them to minimise strain).

Another factor that was mentioned when it flew medical supplies to Montreal is that the An-225 always flies with all the crew it needs, including replacements, and so it was feasible for the plane to wait for a few hours while the logistics were being sorted out (e.g. cash-and-carry deals right on the tarmac, the situation was reportedly crazy in march/april). With another plane/airline, the time slot may be too tight because of crew schedules, etc.

This is an emergency release to fix a security vulnerability in Emacs.

Enriched Text mode has its support for decoding 'x-display' disabled. This feature allows saving 'display' properties as part of text. Emacs 'display' properties support evaluation of arbitrary Lisp forms as part of instantiating the property, so decoding 'x-display' is vulnerable to executing arbitrary malicious Lisp code included in the text (e.g., sent as part of an email message).

This vulnerability was introduced in Emacs 19.29. To work around that in Emacs versions before 25.3, append the following to your ~/.emacs init file:

  (eval-after-load "enriched"
    '(defun enriched-decode-display-prop (start end &optional param)
       (list start end)))
> Gnus no longer supports "richtext" and "enriched" inline MIME objects. This support was disabled to avoid evaluation of arbitrary Lisp code contained in email messages and news articles.