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Julia 1.12 highlights

https://julialang.org/blog/2025/10/julia-1.12-highlights/
88•pella•2h ago

Comments

alhirzel•1h ago
Has anyone tried the `--trim` option? I wonder how well it works in "real life".
jakobnissen•1h ago
So much goodness in this release. Struct redefinition combined with Revise.jl makes development much smoother. Package apps are also an amazing (and long awaited) feature!

I can't wait to try out trimming and see how well it actually works in its current experimental instantiation.

clickety_clack•1h ago
I wish a) that I was a Julia programmer and b) that Julia had taken off instead of python for ML. I’m always jealous when I scan the docs.
culi•1h ago
Python predates Julia by 3 decades. In many ways Julia is a response to Python's shortcomings. Julia could've never taken off "instead of" python but it clearly hopes to become the mature and more performant alternative eventually
williamstein•1h ago
Some small additional details: 23 years not 30. Also, I think Julia was started as much in response to Octave/Matlab’s shortcomings. I don’t know if it is written down, but I was told a big impetus was that Edelman had just sold his star-p company to Microsoft, and star-p was based around octave/matlab.

- https://julialang.org/blog/2012/02/why-we-created-julia/

gooodvibes•28m ago
When Julia came out neither Python nor data science and ML had the popularity they have today. Even 7-8 years ago people we're still having Python vs R debates.
SatvikBeri•11m ago
In 2012, python was already well-established in ML, though not as dominant as it is today. scikit-learn was already well-established and Theano was pretty popular. Most of the top entries on Kaggle were C++ or Python.
doctoboggan•1h ago
How's the Julia ecosystem these days? I used it for a couple of years in the early days (2013-2016ish) and things initially felt like they were going somewhere, but since then I haven't seen it make much inroads.

Any thoughts from someone more plugged in to the community today?

pjmlp•1h ago
Going well, regardless of the regular doom and gloom comments on HN.

https://juliahub.com/case-studies

SatvikBeri•1h ago
My company (a hedge fund) has been using Julia for our major data/numeric pipelines for 4 years. It's been great. Very easy to translate math/algorithms into code, lots of syntactical niceties, parallelism/concurrency is easy, macros for the very rare cases you need them. It's easy to get high performance and possible to get extremely high performance.

It does have some well-known issues (like slow startup/compilation time) but if you're using it for long-running data pipelines it's great.

TimorousBestie•1h ago
My shop just moved back to Julia for digital signal processing and it’s accelerated development considerably over our old but mature internal C++ ecosystem.
__atx__•5m ago
I do wonder in particular about the startup time "time-to-plot" issue. I last used Julia about 2021-ish to develop some signal processing code, and restarting the entire application could have easily taken tens of seconds. Both static precompilation and hot reloading were in early development and did not really work well at the time.
cyberax•46m ago
I think Julia missed the boat with Python totally dominating the AI area.

Which is a shame, because now Python has all the same problems with the long startup time. On my computer, it takes almost 15 seconds just to import all the machine-learning libraries. And I have to do that on every app relaunch.

sundarurfriend•13m ago
> For example, the all-inference benchmarks improve by about 10%, an LLVM-heavy workload shows a similar ~10% gain, and building corecompiler.ji improves by 13–16% with BOLT. When combined with PGO and LTO, total improvements of up to ~23% have been observed.

> To build a BOLT-optimized Julia, run the following commands

Is BOLT the default build (eg. fetched by juliaup) on the supported Linux x86_64 and aarch64? I'm assuming not, based on the wording here, but I'm interested in what the blocker is and whether there's plans to make it part of the default build process. Is it considered as yet immature? Are there other downsides to it than the harmless warnings the post mentions?

doppioandante•10m ago
Being able to redefine structs is what I always wanted when prototyping using Revise.jl :) great to have it

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https://boingboing.net/2025/10/08/report-apple-defined-ice-as-a-protected-class-in-blocking-discr...
1•baobun•1m ago•0 comments

Ask HN: Why not base a tech company in a LCOL area as a hiring incentive?

1•alexathrowawa9•1m ago•0 comments

What does pointer provenance have to do with RCU?

https://people.kernel.org/paulmck/what-on-earth-does-lifetime-end-pointer-zap-have-to-do-with-rcu
1•fanf2•1m ago•0 comments

JavaScript-Framework-Benchmark

https://krausest.github.io/js-framework-benchmark/current.html
1•hhthrowaway1230•1m ago•0 comments

Bank of England on AI mania: valuations 'comparable to peak of dot com bubble

https://fortune.com/2025/10/08/bank-of-england-ai-mania-equity-valuations-stretched-dotcom-bubble/
1•zerosizedweasle•1m ago•0 comments

The Programmer Identity Crisis

https://hojberg.xyz/the-programmer-identity-crisis/
1•jimmcslim•1m ago•0 comments

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1•NomDePlum•1m ago•0 comments

Base Power's Series B Fundraise

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https://dontbreakprod.com/posts/prioritize-ruthlessly
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Microplastics and other harmful substances released from disposable paper cups

https://www.sciencedirect.com/science/article/abs/pii/S0304389420321087
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https://codexlocal.com/
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https://blog.mozilla.org/en/firefox/profile-management/
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My infant year as an AI researcher – Moving from physics to AI

https://alfredyao.github.io/posts/2025-10-06.html
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Access Control Policy Generation from High-Level Natural Language Requirements

https://dl.acm.org/doi/10.1145/3706057
1•mooreds•9m ago•0 comments

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https://redis.io/blog/security-advisory-cve-2025-49844/
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https://twitter.com/ralliesai/status/1976014954034757641
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