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We Mourn Our Craft

https://nolanlawson.com/2026/02/07/we-mourn-our-craft/
186•ColinWright•1h ago•172 comments

I Write Games in C (yes, C)

https://jonathanwhiting.com/writing/blog/games_in_c/
22•valyala•2h ago•6 comments

Hoot: Scheme on WebAssembly

https://www.spritely.institute/hoot/
124•AlexeyBrin•7h ago•24 comments

SectorC: A C Compiler in 512 bytes

https://xorvoid.com/sectorc.html
17•valyala•2h ago•1 comments

Stories from 25 Years of Software Development

https://susam.net/twenty-five-years-of-computing.html
65•vinhnx•5h ago•9 comments

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

https://openciv3.org/
833•klaussilveira•22h ago•250 comments

U.S. Jobs Disappear at Fastest January Pace Since Great Recession

https://www.forbes.com/sites/mikestunson/2026/02/05/us-jobs-disappear-at-fastest-january-pace-sin...
155•alephnerd•2h ago•106 comments

The AI boom is causing shortages everywhere else

https://www.washingtonpost.com/technology/2026/02/07/ai-spending-economy-shortages/
119•1vuio0pswjnm7•8h ago•149 comments

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

https://spillhistorie.no/2026/02/06/interview-with-sierra-veteran-al-lowe/
57•thelok•4h ago•8 comments

The Waymo World Model

https://waymo.com/blog/2026/02/the-waymo-world-model-a-new-frontier-for-autonomous-driving-simula...
1061•xnx•1d ago•613 comments

Reinforcement Learning from Human Feedback

https://rlhfbook.com/
80•onurkanbkrc•7h ago•5 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...
4•gnufx•57m ago•1 comments

Start all of your commands with a comma (2009)

https://rhodesmill.org/brandon/2009/commands-with-comma/
489•theblazehen•3d ago•177 comments

Vocal Guide – belt sing without killing yourself

https://jesperordrup.github.io/vocal-guide/
212•jesperordrup•12h ago•73 comments

France's homegrown open source online office suite

https://github.com/suitenumerique
567•nar001•6h ago•259 comments

Coding agents have replaced every framework I used

https://blog.alaindichiappari.dev/p/software-engineering-is-back
226•alainrk•6h ago•354 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
40•rbanffy•4d ago•7 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
10•momciloo•2h ago•0 comments

History and Timeline of the Proco Rat Pedal (2021)

https://web.archive.org/web/20211030011207/https://thejhsshow.com/articles/history-and-timeline-o...
19•brudgers•5d ago•4 comments

Selection Rather Than Prediction

https://voratiq.com/blog/selection-rather-than-prediction/
8•languid-photic•3d ago•1 comments

72M Points of Interest

https://tech.marksblogg.com/overture-places-pois.html
29•marklit•5d ago•3 comments

Unseen Footage of Atari Battlezone Arcade Cabinet Production

https://arcadeblogger.com/2026/02/02/unseen-footage-of-atari-battlezone-cabinet-production/
114•videotopia•4d ago•33 comments

Where did all the starships go?

https://www.datawrapper.de/blog/science-fiction-decline
77•speckx•4d ago•82 comments

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

https://github.com/valdanylchuk/breezydemo
275•isitcontent•22h ago•38 comments

Learning from context is harder than we thought

https://hy.tencent.com/research/100025?langVersion=en
201•limoce•4d ago•112 comments

Monty: A minimal, secure Python interpreter written in Rust for use by AI

https://github.com/pydantic/monty
288•dmpetrov•22h ago•155 comments

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

https://github.com/sandys/kappal
22•sandGorgon•2d ago•12 comments

Hackers (1995) Animated Experience

https://hackers-1995.vercel.app/
557•todsacerdoti•1d ago•269 comments

Making geo joins faster with H3 indexes

https://floedb.ai/blog/how-we-made-geo-joins-400-faster-with-h3-indexes
155•matheusalmeida•2d ago•48 comments

Sheldon Brown's Bicycle Technical Info

https://www.sheldonbrown.com/
427•ostacke•1d ago•111 comments
Open in hackernews

Arm's Cortex A725 Ft. Dell's Pro Max with GB10

https://chipsandcheese.com/p/arms-cortex-a725-ft-dells-pro-max
61•pixelpoet•1w ago

Comments

crest•1w ago
I would love to see a comparison between the A725 and X925 cores.
geerlingguy•1w ago
Not quite in the same depth, but there are some more general benchmarks across all cores and latencies here: https://github.com/geerlingguy/sbc-reviews/issues/92
arjie•1w ago
Wow, this repo and the ai-benchmarks repo are the ones I wanted https://github.com/geerlingguy/ai-benchmarks/issues/34

Thank you for doing these. Earned a star and a watch from me on both! Minor sponsor donation as gratitude.

Would be sick to have an RSS feed for your data releases.

geerlingguy•1w ago
Will consider that at some point; a lot of the time is just spent getting the data, heh.
ksec•1w ago
Note to myself: Cortex X925 was originally called X5. The Current Generation X930 is now called C1-Ultra used in Mediatek 9500.
pinnochio•1w ago
Apologies for the tangent, but isn't this like saying "sliced tomato featuring BLT sandwich"?
trynumber9•1w ago
No. It's trying to analyze the CPU core but clarifies the device under test as that may have performance implications. There is cooling and possibly manufactured configured power limits.
pinnochio•1w ago
I get what they're doing. I've never seen that phrasing before.
cmrdporcupine•1w ago
This is awesome. I'm going to have to spend some time digging over this.

I got one of these GB10s, but the ASUS variety. So far fairly happy with it. Most days I don't remember I'm on ARM.

It's pretty performant, snappy, about the same speed as my other mini PC, a Ryzen 9 7940HS Minisforum UM 790 Pro, but with double the amount of cores and many times the amount of RAM.

storystarling•1w ago
Have you tried running any local LLMs via llama.cpp? I am curious if that high RAM is effectively usable as unified memory for larger models. I wonder if the memory bandwidth is sufficient to get decent performance on something like a 70b model or if it bottlenecks.
justaboutanyone•1w ago
You can run large-ish MoE model at good speeds, like gpt-oss-120b, it's snappy enough even with big context.

But large and dense at the same time is a bit slow.

Running a local LLM will be a load of money for something much slower than the api providers though.

storystarling•1w ago
Makes sense regarding the MoE performance. I am not sure the cost argument holds up for high volume workloads though. If you are running batch jobs 24/7 the hardware pays for itself in a few months compared to API opex. It really just comes down to utilization.
storystarling•1w ago
Do you have specific t/s numbers for those dense models? I'm curious just how severe the memory bandwidth bottleneck gets in practice.

I'm not sure I agree on the cost aspect though. For high-volume production workloads the API bills scale linearly and can get painful fast. If you can amortize the hardware over a year and keep the data local for privacy, the math often works out in favor of self-hosting.

justaboutanyone•1w ago
For Qwen2.5-72B-Instruct-Q5_K_M at 32k context, I fed it a 26k token file (truncated fiction novel) asking it to summarize, and it input processed at 224 tok/s and output generated at 3 tok/s. Not really good enough for interactive use without frustration. Not just from watching it reply, but also the long wait for it to actually read the book.

On the same hardware gpt-oss-120b at 128k context, I fed it a longer version of the input (a whole novel, 97k tok), and it input processed at 1650 tok/s and output generated at 27 tok/s. Just fast enough IMO

cmrdporcupine•1w ago
I bought it primarily so I could learn some of the toolchain for fine-tuning / training stuff, not so much for running inference, which its only "ok" at.

If I was primarily interested in that, I would have probably bought one of the cheaper Strix Halo machines.

It's also just a decent non-Mac ARM64 workstation, with large quantities of RAM. Which in 2026 is a bit of unicorn.