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Show HN: SafeClaw – a way to manage multiple Claude Code instances in containers

https://github.com/ykdojo/safeclaw
1•ykdojo•2m ago•0 comments

The Future of the Global Open-Source AI Ecosystem: From DeepSeek to AI+

https://huggingface.co/blog/huggingface/one-year-since-the-deepseek-moment-blog-3
1•gmays•2m ago•0 comments

The Evolution of the Interface

https://www.asktog.com/columns/038MacUITrends.html
1•dhruv3006•4m ago•0 comments

Azure: Virtual network routing appliance overview

https://learn.microsoft.com/en-us/azure/virtual-network/virtual-network-routing-appliance-overview
1•mariuz•4m ago•0 comments

Seedance2 – multi-shot AI video generation

https://www.genstory.app/story-template/seedance2-ai-story-generator
1•RyanMu•8m ago•1 comments

Πfs – The Data-Free Filesystem

https://github.com/philipl/pifs
1•ravenical•11m ago•0 comments

Go-busybox: A sandboxable port of busybox for AI agents

https://github.com/rcarmo/go-busybox
2•rcarmo•12m ago•0 comments

Quantization-Aware Distillation for NVFP4 Inference Accuracy Recovery [pdf]

https://research.nvidia.com/labs/nemotron/files/NVFP4-QAD-Report.pdf
1•gmays•12m ago•0 comments

xAI Merger Poses Bigger Threat to OpenAI, Anthropic

https://www.bloomberg.com/news/newsletters/2026-02-03/musk-s-xai-merger-poses-bigger-threat-to-op...
1•andsoitis•13m ago•0 comments

Atlas Airborne (Boston Dynamics and RAI Institute) [video]

https://www.youtube.com/watch?v=UNorxwlZlFk
1•lysace•14m ago•0 comments

Zen Tools

http://postmake.io/zen-list
1•Malfunction92•16m ago•0 comments

Is the Detachment in the Room? – Agents, Cruelty, and Empathy

https://hailey.at/posts/3mear2n7v3k2r
1•carnevalem•16m ago•0 comments

The purpose of Continuous Integration is to fail

https://blog.nix-ci.com/post/2026-02-05_the-purpose-of-ci-is-to-fail
1•zdw•18m ago•0 comments

Apfelstrudel: Live coding music environment with AI agent chat

https://github.com/rcarmo/apfelstrudel
1•rcarmo•19m ago•0 comments

What Is Stoicism?

https://stoacentral.com/guides/what-is-stoicism
3•0xmattf•20m ago•0 comments

What happens when a neighborhood is built around a farm

https://grist.org/cities/what-happens-when-a-neighborhood-is-built-around-a-farm/
1•Brajeshwar•20m ago•0 comments

Every major galaxy is speeding away from the Milky Way, except one

https://www.livescience.com/space/cosmology/every-major-galaxy-is-speeding-away-from-the-milky-wa...
2•Brajeshwar•20m ago•0 comments

Extreme Inequality Presages the Revolt Against It

https://www.noemamag.com/extreme-inequality-presages-the-revolt-against-it/
2•Brajeshwar•20m ago•0 comments

There's no such thing as "tech" (Ten years later)

1•dtjb•21m ago•0 comments

What Really Killed Flash Player: A Six-Year Campaign of Deliberate Platform Work

https://medium.com/@aglaforge/what-really-killed-flash-player-a-six-year-campaign-of-deliberate-p...
1•jbegley•22m ago•0 comments

Ask HN: Anyone orchestrating multiple AI coding agents in parallel?

1•buildingwdavid•23m ago•0 comments

Show HN: Knowledge-Bank

https://github.com/gabrywu-public/knowledge-bank
1•gabrywu•29m ago•0 comments

Show HN: The Codeverse Hub Linux

https://github.com/TheCodeVerseHub/CodeVerseLinuxDistro
3•sinisterMage•30m ago•2 comments

Take a trip to Japan's Dododo Land, the most irritating place on Earth

https://soranews24.com/2026/02/07/take-a-trip-to-japans-dododo-land-the-most-irritating-place-on-...
2•zdw•30m ago•0 comments

British drivers over 70 to face eye tests every three years

https://www.bbc.com/news/articles/c205nxy0p31o
42•bookofjoe•30m ago•13 comments

BookTalk: A Reading Companion That Captures Your Voice

https://github.com/bramses/BookTalk
1•_bramses•31m ago•0 comments

Is AI "good" yet? – tracking HN's sentiment on AI coding

https://www.is-ai-good-yet.com/#home
3•ilyaizen•32m ago•1 comments

Show HN: Amdb – Tree-sitter based memory for AI agents (Rust)

https://github.com/BETAER-08/amdb
1•try_betaer•33m ago•0 comments

OpenClaw Partners with VirusTotal for Skill Security

https://openclaw.ai/blog/virustotal-partnership
2•anhxuan•33m ago•0 comments

Show HN: Seedance 2.0 Release

https://seedancy2.com/
2•funnycoding•33m ago•0 comments
Open in hackernews

Systematically Improving Espresso: Mathematical Modeling and Experiment (2020)

https://www.cell.com/matter/fulltext/S2590-2385(19)30410-2
77•austinallegro•1mo ago

Comments

bee_rider•4w ago
I think they’ve modeled espresso channeling? It’s well known by hobbyists. Although, they’ve quantified things nicely, and anyway having a result in the record that matches your gut is great!
nerdponx•4w ago
If I'm not mistaken this is the original "turbo shot" paper.
bee_rider•4w ago
Oh wow, so this is what kicked off the whole channeling thing? Neat!
nerdponx•4w ago
No, but I think this was novel at the time for being able to model espresso puck dynamics well enough to produce a testable/tasteable prediction that led to a big shift in how coffee hobbyists think about espresso.
0xWTF•4w ago
MORE TO EXPLORE

Coffee. Vols. 1–6. R. J. Clarke and R. Macrae. Elsevier Applied Science, 1985.

Coffee: Botany, Biochemistry and Production of Beans and Beverage. M. N. Clifford and K. C. Willson. Croom Helm, London, 1985.

Caffeine, Coffee and Health. Edited by S. Garattini. Raven Press, 1993.

Coffee: Recent Developments. R. J. Clarke and O. Vitzthum. Blackwell Science, 2001.

Espresso Coffee: The Science of Quality. Second edition. A. Illy and R. Viani. Academic Press, 2005.

Association for Science and Information on Coffee: www.asic-cafe.org (sadly now a spam/gambling site)

International Coffee Organization: www.ico.org (seems to have a bad cert now?)

News from the industry of specialty coffee: www.scaa.org/chronicle/category/coffee-science (also dead)

from https://www.scientificamerican.com/article/the-science-of-a-...

semessier•4w ago
a parameterization would be helpful for machine designers probably
patspam•4w ago
I’ll wait for the Lance Hedrick / James Hoffmann video.
josephcsible•4w ago
You'll have to wait negative six years. https://www.youtube.com/watch?v=BoYBLn9hRqs
iosguyryan•4w ago
For an academic coffee paper, it is better than many.

A common sin remains: like most coffee papers, I was unable to find calibration procedures in the methods or supplementary sections for the espresso brewing instrument whose performance may vary between runs, days, or users. In this case, they claim/assume "The Opera allows for precise control of shot time, water pressure (PW), and temperature"). As a Decent owner, I'm less familiar with the Opera, but for either machine I would want to disprove any confounding variables by attaching independent sensors. Decent has openly discussed hurdles they've confronted for consistency and accurate measurement.

Their main takeaways, though, are interesting and track with how many now prefer to extract:

As we demonstrated in Figure 3, our model informs us that a reduction in dry coffee mass results in an increased EYmax (shown schematically in blue in Figure 6). Thus, a barista is able to achieve highly reproducible espresso with the same EY as the 20 g espresso by reducing the coffee mass to 15 g and counter-intuitively grinding much coarser (as shown in red, Figure 6B). This modification may result in very fast shots (<15 s), a reduction in espresso concentration, and a different flavor profile.

...

Beyond sensory science studies, a persistent difficulty is that there is no rapid route to assessing the quality of two identical EYs made with different grind settings or brew parameters. It is clear that espresso made at 22% EY in the partially clogged regime tastes more ‘‘complex’’ than a fast 22% EY obtained using the optimization routine presented in Figure 6. In an attempt to recover the same flavor profile as the partially clogged flow regime, a shot must contain a mixture of higher and lower extractions. Consider the tasty point in Figure 7: One can approximate its flavor pro- file by blending two shots: (1) a low extraction/high dose (purple point) and (2) a high extraction/low dose (green point). This procedure can more economically yield a shot with a flavor profile that should approximate that which was previously only obtainable in an economically inefficient partially clogged shot. Blending shots does double the total volume of the beverage, and the procedure comes with the added combinatorial complexity associated with calibrating two shots that, when mixed together, yield superior flavor. We expect only the most enthusiastic practi- tioners would consider this approach, but it may well be actionable in an industrial setting where extraction is carried out in bulk.

amelius•4w ago
There is one important thing missing in the paper:

https://news.ycombinator.com/item?id=46526933

sho_hn•4w ago
Amusingly I also added a coffee stain to my Tex-based e-ink newspaper:

https://imgur.com/a/diy-automatic-e-ink-newspaper-using-rust...

Not using that package, though.

vrighter•4w ago
I thought this was going to be about logic minimization. Was severely disappointed
Mathnerd314•4w ago
Logic minimization is kind of boring? I had to solve a problem once and the answer was still to use the espresso software from the 1980s. It is a pretty specialized problem and honestly I don't see how you would improve on it, besides integrating the digital circuit design research. But in terms of software, there is not really any reason to use a Boolean logic formula instead of just passing around the truth table directly.
vrighter•4w ago
well that's exactly why i thought this was exciting. I thought there had been some advances on that front