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Four Column ASCII (2017)

https://garbagecollected.org/2017/01/31/four-column-ascii/
57•tempodox•1d ago•11 comments

14-year-old Miles Wu folded origami pattern that holds 10k times its own weight

https://www.smithsonianmag.com/innovation/this-14-year-old-is-using-origami-to-design-emergency-s...
616•bookofjoe•13h ago•117 comments

Rise of the Triforce

https://dolphin-emu.org/blog/2026/02/16/rise-of-the-triforce/
232•max-m•10h ago•28 comments

A deep dive into Apple's .car file format

https://dbg.re/posts/car-file-format/
56•MrFinch•2d ago•0 comments

Evaluating AGENTS.md: are they helpful for coding agents?

https://arxiv.org/abs/2602.11988
76•mustaphah•19h ago•36 comments

Poor Deming never stood a chance

https://surfingcomplexity.blog/2026/02/16/poor-deming-never-stood-a-chance/
50•todsacerdoti•5h ago•2 comments

What your Bluetooth devices reveal

https://blog.dmcc.io/journal/2026-bluetooth-privacy-bluehood/
395•ssgodderidge•17h ago•149 comments

Visual introduction to PyTorch

https://0byte.io/articles/pytorch_introduction.html
223•0bytematt•3d ago•15 comments

Show HN: Free alternative to Wispr Flow, Superwhisper, and Monologue

https://github.com/zachlatta/freeflow
172•zachlatta•10h ago•80 comments

Dark web agent spotted bedroom wall clue to rescue girl from abuse

https://www.bbc.com/news/articles/cx2gn239exlo
363•colinprince•7h ago•190 comments

Show HN: Scanned 1927-1945 Daily USFS Work Diary

https://forestrydiary.com/
87•dogline•8h ago•16 comments

SvarDOS – an open-source DOS distribution

http://svardos.org/
27•d_silin•1h ago•3 comments

Building for an audience of one: starting and finishing side projects with AI

https://codemade.net/blog/building-for-one/
52•lorisdev•8h ago•21 comments

DBASE on the Kaypro II

https://stonetools.ghost.io/dbase-cpm/
39•TMWNN•3d ago•13 comments

Thinking hard burns almost no calories but destroys your next workout

https://vo2maxpro.com/blog/thinking-hard-burns-no-calories-destroys-workout
85•GoodluckH•6h ago•26 comments

Ghidra by NSA

https://github.com/NationalSecurityAgency/ghidra
356•handfuloflight•3d ago•190 comments

Rendering the Visible Spectrum

https://brandonli.net/spectra/doc/
15•signa11•2d ago•3 comments

Hear the "Amati King Cello", the Oldest Known Cello in Existence

https://www.openculture.com/2021/06/hear-the-amati-king-cello-the-oldest-known-cello-in-existence...
41•tesserato•3d ago•19 comments

State of Show HN: 2025

https://blog.sturdystatistics.com/posts/show_hn/
90•kianN•12h ago•16 comments

"Token anxiety", a slot machine by any other name

https://jkap.io/token-anxiety-or-a-slot-machine-by-any-other-name/
102•presbyterian•13h ago•80 comments

Running NanoClaw in a Docker Shell Sandbox

https://www.docker.com/blog/run-nanoclaw-in-docker-shell-sandboxes/
98•four_fifths•9h ago•47 comments

Show HN: Wildex – Pokémon Go for real wildlife

https://apps.apple.com/us/app/wildex-identify-plants-animals/id6748092158
76•AnujNayyar•10h ago•49 comments

Show HN: Jemini – Gemini for the Epstein Files

https://jmail.world/jemini
340•dvrp•1d ago•66 comments

Neurons outside the brain

https://essays.debugyourpain.com/p/you-are-not-just-your-brain
83•yichab0d•13h ago•34 comments

SkillsBench: Benchmarking how well agent skills work across diverse tasks

https://arxiv.org/abs/2602.12670
328•mustaphah•10h ago•138 comments

PCB Rework and Repair Guide [pdf]

https://www.intertronics.co.uk/wp-content/uploads/2017/05/PCB-Rework-and-Repair-Guide.pdf
127•varjag•2d ago•36 comments

Turing Labs (YC W20) Is Hiring – Founding GTM Sales Hacker

1•turinglabs•11h ago

Testing Postgres race conditions with synchronization barriers

https://www.lirbank.com/harnessing-postgres-race-conditions
83•lirbank•11h ago•46 comments

LCM: Lossless Context Management [pdf]

http://papers.voltropy.com/LCM
59•ClintEhrlich•13h ago•20 comments

Suicide Linux (2009)

https://qntm.org/suicide
102•icwtyjj•11h ago•60 comments
Open in hackernews

Thinking hard burns almost no calories but destroys your next workout

https://vo2maxpro.com/blog/thinking-hard-burns-no-calories-destroys-workout
83•GoodluckH•6h ago

Comments

soared•1h ago
Holy 3-6mg of caffeine per kg is a shit ton. That’s 2-4 cups of coffee for me!
samplatt•1h ago
Seven for my ~140kg arse. Not sure how healthily this scales.
instagib•1h ago
https://vo2maxpro.com/blog/does-caffeine-improve-vo2-max

They list a study and more info on that page. Probably why almost all pre-workouts include caffeine. Some push for 300mg per serving.

Yohimbe gives some weird heart effects also.

darthbanane•1h ago
Was expecting the article to mention creatine which interacts with ATP. It's a supplement that's so well studied that almost everyone should take it, even if you don't workout at all. In my experience it has helped tremendously with mental endurance (n=1 but there are some studies that support it, especially in older people with cognitive decline).
nfg•1h ago
How much are you taking?
girvo•1h ago
5 grams a day, personally, based on a large body of evidence that it is a good amount.
nandomrumber•1h ago
> personally

You’re not having someone else take it for you?

derektank•39m ago
Second anecdote, I take between 10 and 15 grams. I don’t experience cognitive effects at lower doses (though my weightlifting endurance is still higher on lower doses). I also don’t eat meat so don’t have any incidental consumption
matwood•19m ago
That seems like a lot to take daily. Most studies have settled on loading isn’t needed and 5g/day is enough.

I just take 5g/day with my morning coffee/water.

nomel•14m ago
> I also don’t eat meat

This is probably an important difference from the average participant of those studies.

hpdigidrifter•1h ago
Creatine ruins my sleep Find myself getting up multiple times a night to pee.

Even once is rare unless I've been out drinking for the night.

fud101•42m ago
That's interesting. I'm having the same problem. I usually have it after my workout in the evening. Should I try moving it to earlier in the day?
omgmajk•27m ago
Creatine monohydrate (and seemingly HCL too, though not tested long term) kind of makes me constipated. I'd like to take it, because I lift weights quite often, but it just messes with my stomach too much.
joduplessis•1h ago
Quadruple espresso + some good deathcore solves this pretty nicely for me.
ifh-hn•1h ago
I train in the morning so it looks like I avoid this completely. Also the calculator at the end... Just assume an Apple watch.
baron816•1h ago
Is anyone here able to offer an explanation for why our brains are able to do really complex tasks without using much energy, at least compared to AI systems?
alex43578•1h ago
Completely different architectures and mechanisms. Machine learning draws inspiration from some biology concepts, but implements it in different way.
suzzer99•1h ago
If I'm not in flow state focusing on some programming problem, my brain is still going a million miles a minute pontificating about 10 different threads of nonsense at once. So I could see where focusing on one task doesn't actually burn any more energy, it just pulls in all those other workers and puts them to work on one thing.
bob1029•51m ago
The brain relies on discrete, sparse events in space and time to handle computation.

Most of the computation and learning that occurs is attributable to the relative timing of spiking events. A lot of information can be encoded in the delay between 2 spikes. The advantage of biology is that there is no explicit quantization of the time domain that must occur. Biology gets to do a lot of things "for free". Simulating causality in a computer in a similar way requires a priority queue and runs like ass by comparison.

kergonath•11m ago
Why would they not be? A brain and a computer are completely different things. They don’t do the same thing and they don’t work the same way at all.

"Artificial neuron" was a useful metaphor at the beginning, but they really are a very simplified model based on what some people understood of neurology back then. They are not that useful to get insights into how actual neurons work.

sdfhbdf•1h ago
I've also been interested for some time in how metabolism works and wanted to debunk the popular myth for my friends that exercise burns a lot of calories, since I was under the impression that around 80% of energy we burn is just by "living" - breathing and thinking.

Reading this article I'm a little confused by the author's conflation of brain energy and the energy expenditure of the body as a whole. In the beginning they mention:

> "Your brain consumes roughly 20 to 25% of your body's total energy at rest"

while later they say:

> "Even chess grandmasters, who sit for hours in states of intense concentration, burn only about 1.67 calories per minute while playing, compared to 1.53 calories per minute at rest"

That second figure seems to refer to whole-body expenditure, not just the brain. And intense cognitive work doesn't happen in a metabolic vacuum - there's increased cerebral blood flow, elevated sympathetic nervous system activity, changes in heart rate variability, hormonal shifts (cortisol, adrenaline). These all have systemic metabolic costs that go beyond the glucose the neurons themselves consume. So the "it's just a banana and a half" framing might be undercounting by quietly switching between brain-only and whole-body measurements.

Also somewhat related - the link to businessinsider about chess grandmasters is broken, but another very interesting rabbit hole here is how energy expenditure is actually measured. A lot of what consumer devices and even many studies report is based on proxy biomarkers like heart rate, HRV, weight, age, and sex, run through linear regression models. True calorimetry (indirect via gas exchange, or direct in a metabolic chamber) is expensive and impractical outside lab settings. That means the precise calorie figures cited with such confidence - the "100 to 200 extra calories" from a day of thinking, or the per-minute burn rates of chess grandmasters - likely carry wider error bars than the article suggests. We don't really have a great way to measure real-world energy expenditure accurately at the individual level, which makes me a bit cautious about the neat narrative of "thinking is calorically cheap, full stop."

That said, the core point about adenosine accumulation and perceived exertion affecting training quality is fascinating and well-supported — that part of the article is genuinely useful regardless of the calorie accounting.

sdfhbdf•49m ago
The product that this article is advertising seems to be pretty inaccurate and their marketing seems to be burying that information.

The big copy on the front page says:

> Your Apple Watch *tracks* VO2 Max—one...

While you have to read through FAQ where you see:

> The watch *estimates* your cardio fitness during outdoor activities and stores it in Apple Health, which our app reads automatically.

All emphasis are mine.

I think it's a little disingenuous to sell this as "Your VO2 Max, finally visible" when it's actually just an estimate from a watch, based on biomarkers. When the real VO2 is measured in a lab with a more involved equipment.

A 2025 validation study involving 30 participants found that Apple Watch underestimated VO2 max by a mean of 6.07 mL/kg/min (95% CI 3.77–8.38) when compared to indirect calorimetry, the gold standard method. The mean absolute percentage error (MAPE) was 13.31%, and the limits of agreement showed considerable variability ranging from -6.11 to 18.26 mL/kg/min [1]. Another 2024 study found similar results, with the Apple Watch Series 7 showing a MAPE of 15.79% and poor reliability (ICC = 0.47) [2].

[1]: https://journals.plos.org/plosone/article?id=10.1371%2Fjourn...

[2]: https://biomedeng.jmir.org/2024/1/e59459

Madmallard•13m ago
yeah there's no reliable way to measure VO2 max without breathing into tubes.
21asdffdsa12•46m ago
Shouldn't the chemistry hide the usage of calories by the brain? It gets basically a supply run at night - when its washed with lymph, sugar supplied and then subsists on that for new memory formation and computation with small scale supplies delivered during the day via the blood stream? So a hard thinking experience should show up downstream as calorie usage during the following sleep?
aaronbrethorst•9m ago
I found the AI writing of this post to really detract from its message. Give your agent meaningful writing samples of your own work and use those as a ‘style transfer’ basis for blog posts to get something far more true to your own voice.
dgxyz•8m ago
Or just fucking write it yourself!