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Slint: Cross Platform UI Library

https://slint.dev/
1•Palmik•3m ago•0 comments

AI and Education: Generative AI and the Future of Critical Thinking

https://www.youtube.com/watch?v=k7PvscqGD24
1•nyc111•3m ago•0 comments

Maple Mono: Smooth your coding flow

https://font.subf.dev/en/
1•signa11•4m ago•0 comments

Moltbook isn't real but it can still hurt you

https://12gramsofcarbon.com/p/tech-things-moltbook-isnt-real-but
1•theahura•8m ago•0 comments

Take Back the Em Dash–and Your Voice

https://spin.atomicobject.com/take-back-em-dash/
1•ingve•8m ago•0 comments

Show HN: 289x speedup over MLP using Spectral Graphs

https://zenodo.org/login/?next=%2Fme%2Fuploads%3Fq%3D%26f%3Dshared_with_me%25253Afalse%26l%3Dlist...
1•andrespi•9m ago•0 comments

Teaching Mathematics

https://www.karlin.mff.cuni.cz/~spurny/doc/articles/arnold.htm
1•samuel246•12m ago•0 comments

3D Printed Microfluidic Multiplexing [video]

https://www.youtube.com/watch?v=VZ2ZcOzLnGg
2•downboots•12m ago•0 comments

Abstractions Are in the Eye of the Beholder

https://software.rajivprab.com/2019/08/29/abstractions-are-in-the-eye-of-the-beholder/
2•whack•12m ago•0 comments

Show HN: Routed Attention – 75-99% savings by routing between O(N) and O(N²)

https://zenodo.org/records/18518956
1•MikeBee•13m ago•0 comments

We didn't ask for this internet – Ezra Klein show [video]

https://www.youtube.com/shorts/ve02F0gyfjY
1•softwaredoug•13m ago•0 comments

The Real AI Talent War Is for Plumbers and Electricians

https://www.wired.com/story/why-there-arent-enough-electricians-and-plumbers-to-build-ai-data-cen...
2•geox•16m ago•0 comments

Show HN: MimiClaw, OpenClaw(Clawdbot)on $5 Chips

https://github.com/memovai/mimiclaw
1•ssslvky1•16m ago•0 comments

I Maintain My Blog in the Age of Agents

https://www.jerpint.io/blog/2026-02-07-how-i-maintain-my-blog-in-the-age-of-agents/
3•jerpint•17m ago•0 comments

The Fall of the Nerds

https://www.noahpinion.blog/p/the-fall-of-the-nerds
1•otoolep•18m ago•0 comments

I'm 15 and built a free tool for reading Greek/Latin texts. Would love feedback

https://the-lexicon-project.netlify.app/
2•breadwithjam•21m ago•1 comments

How close is AI to taking my job?

https://epoch.ai/gradient-updates/how-close-is-ai-to-taking-my-job
1•cjbarber•22m ago•0 comments

You are the reason I am not reviewing this PR

https://github.com/NixOS/nixpkgs/pull/479442
2•midzer•23m ago•1 comments

Show HN: FamilyMemories.video – Turn static old photos into 5s AI videos

https://familymemories.video
1•tareq_•25m ago•0 comments

How Meta Made Linux a Planet-Scale Load Balancer

https://softwarefrontier.substack.com/p/how-meta-turned-the-linux-kernel
1•CortexFlow•25m ago•0 comments

A Turing Test for AI Coding

https://t-cadet.github.io/programming-wisdom/#2026-02-06-a-turing-test-for-ai-coding
2•phi-system•25m ago•0 comments

How to Identify and Eliminate Unused AWS Resources

https://medium.com/@vkelk/how-to-identify-and-eliminate-unused-aws-resources-b0e2040b4de8
3•vkelk•26m ago•0 comments

A2CDVI – HDMI output from from the Apple IIc's digital video output connector

https://github.com/MrTechGadget/A2C_DVI_SMD
2•mmoogle•27m ago•0 comments

CLI for Common Playwright Actions

https://github.com/microsoft/playwright-cli
3•saikatsg•28m ago•0 comments

Would you use an e-commerce platform that shares transaction fees with users?

https://moondala.one/
1•HamoodBahzar•29m ago•1 comments

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

https://github.com/ykdojo/safeclaw
3•ykdojo•32m 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
3•gmays•33m ago•0 comments

The Evolution of the Interface

https://www.asktog.com/columns/038MacUITrends.html
2•dhruv3006•34m ago•1 comments

Azure: Virtual network routing appliance overview

https://learn.microsoft.com/en-us/azure/virtual-network/virtual-network-routing-appliance-overview
3•mariuz•35m ago•0 comments

Seedance2 – multi-shot AI video generation

https://www.genstory.app/story-template/seedance2-ai-story-generator
2•RyanMu•38m ago•1 comments
Open in hackernews

Simulating the Ladybug Clock Puzzle

https://austinhenley.com/blog/ladybugclock.html
48•azhenley•2w ago

Comments

ludwik•2w ago
Shouldn't the code say:

    position = (position + direction + 1) % 12;
Or have I misunderstood something?
LiamPowell•2w ago
The +12 is to keep the number positive. The direction contains the movement so a +1 wouldn't make sense.
nulptr•2w ago
The +12 there is so that % works correctly (ie the number never becomes negative)
archargelod•2w ago
> After 5000 runs, they were all 8.4-9.7%

This sample size is really small. I ran 100 million simulations in Nim[0] (takes around a minute). And distribution converges toward 9.09% on all positions equally:

    Average turns: 65.99609065001634
    Final position distribution:
     4: 9.095%
    11: 9.093%
     7: 9.091%
     3: 9.091%
    10: 9.090%
     9: 9.090%
     1: 9.090%
     8: 9.090%
     2: 9.090%
     6: 9.090%
     5: 9.089%
     0: 0.000%

[0] - https://play.nim-lang.org/#pasty=hwdfbsfh (reduced amount of runs to not abuse playground server resources)
JKCalhoun•2w ago
Damn good. Does it matter that you're (presumably) using a psuedo random number? I mean you seem to nail the probabilities regardless.

Perhaps our pseudorandom algorithms are better at flipping a coin (this case) versus having to choose a random value over a range greater than 2 (or "1" if you like).

archargelod•2w ago
It should not be a problem, pseudorandom numbers are used in simulations, like monte-carlo, all the time.

Nim uses xoroshiro[0] algorithm for std/random module and it produces good quality statistically random bits until 5TB of output. And lower 4 bits have a little bias, but it should not matter as we only use upper 64 out of available 128 bits.

Also, I just now realise that xoroshiro-128+ is really cheap, so perhaps my batching optimisation was unnecessary here.

[0] - https://en.wikipedia.org/wiki/Xorshift#xoroshiro

vjerancrnjak•2w ago
Bruteforce thinking works in this case, given that there's only ~12*2^12 total states and transition matrix is very sparse, 1/11 is quick to calculate.

But not all of these states are valid, visited set is just defined by 2 markers on the circle (and the start position), so now state count is much smaller.

Ladybug needs to be on 7 or 5 while having a nice (7,5) visited state to reach 6, movements inside (7, 5) don't really matter, so state count gets to 12*11/2=66. Quite small and enough to do by hand.

edit: been thinking a bit on finding a short proof, as 1/11 (or 1/(N-1) in general case) sounds like there could be a nice short proof, but it only made me realize how these constructive proofs are so clean and any attempts to formalize this gets me into graph theory vibes where I just feel like proof is making nonsymbolic leaps in reasoning that I just can't feel are true.

kmm•2w ago
I think I have some sort of intuition why all the probabilities are the same.

Imagine you're standing on a randomly chosen vertex on the ring which is not right next to the starting position. At some point, the ladybug will be guaranteed to appear either to the left of you or to the right of you for the first time, and this cannot happen as the second-to-last step, because then the ladybug would have had to have visited both of your neighbors. At this point, for your vertex to be the one last visited, the ladybug would have to turn around and loop all the way around the circle to your other neighbor. But this means the previous trajectory of the ladybug and which vertices were visited before is irrelevant, as the ladybug will have to pass by them anyway. By symmetry, this situation is completely equivalent to being at the very start of the process on one of the vertices neighboring the starting position. Hence any randomly chosen vertex not next to the starting position has to have the same probability of being visited last as those two vertices. Hence all vertices have to have to same probability of being visited last.

dmurray•2w ago
I agree with this reasoning. I think this is more than intuition, it's pretty much a formal proof.
xamidi•1w ago
It's based on natural language in contrast to formal language, thus it is at best a social proof [1].

[1] https://mathweb.ucsd.edu/%7Esbuss/ResearchWeb/handbookI/Chap...

Eddy_Viscosity2•2w ago
I had to read this a few times to get it, but I now that do it I like it.
jatari•2w ago
It's a nice puzzle because at first it seems like you would need to do some complex probability calculations but by just looking at it for a while you can come up with the 1 basic insight that instantly makes the solution obvious.
gus_massa•2w ago
I still can't find an obvious solution. I think the solution posted by kmm in the top comment is correct, but I still don't think it's obvious. Can you post your solution?
chiantiM•2w ago
The probability of landing on each number is the same—this is the theoretical stationary distribution, which can only be approximated and never perfectly reached within a finite number of steps. If we focus on completing the traversal within a finite sequence, the probability of being at 1 or 11 is the highest, while it's lowest at 6. In other words, the average number of steps to reach 6 is higher than for other numbers; it takes about 10 something steps to hit 6 than it does to hit 1, which is more than a full lap! The world of infinity is really strange, isn't it? Human intuition is always much closer to the finite.
harvie•2w ago
At first it might seem that 6 is furthest to starting point and therefore it's quite likely it will be the last one reached. However whole process is chaotic enough, that once ladybug finally arrives to 4 and/or 8, the starting position has very little impact on overall outcome.
jatari•2w ago
Well the starting position has no impact on the outcome. Each number other than the starting number has exactly 1/11 chance of being the last remaining number.
gus_massa•2w ago
OK, I give up for now for 12. Let's try 4. I hope I can do 4 at least.

The clock has only the numbers 0, 3, 6, 9 (I replaced 12 with 0 to save a character.)

[spoiler alert] Initially the state is [0]--- After the first move it goes to 3 or 9.

Case 3) Let's assume it first move to 3, so the state is now 0[3]--

There is a 50% chance that it goes to 6 and we get 03[6]- so the answer is 9

There is a 50% chance that it goes to 0 again, and we have [0]3--.

- Now there is a 50% chance that it goes to 9 and we get 03-[9] and the answer is 6.

- Now there is a 50% chance that it goes to 3 back and we get 0[3]--.

So starting from 0[3]--, there is a 50% of "9", 25% of "6", and 25% of back to 0[3]--. Using standard series trick, we can split the 25% loop in the final answers "9" and "6", in the same proportion of 50% vs 25%.

So the net result is that starting from 0[3]--, there is a 66.6...% of "9", 33.3...% of "6".

Case 9) Let's assume it first move to 9, so the state is now 0--[9] yada yada there is a 66.6...% of "3", 33.3...% of "6".

---

In total: (66.6%+0%)*50% = 33.3...% for 3 and the same for 9, and (33.3..%+33.3...%)*50%=33% for 6. So all endings are equiprobable. I still can believe my eyes, and I'm afraid there is an "obvious" solution that I'm missing.

Tade0•2w ago
Regarding that last question, the other day we were playing the Frozen-branded edition of Snakes&Ladders with my family:

https://www.straight2you.co.uk/products/disney-frozen-2-6-in...

Basically you throw the included coloured die and move your pawn to the next field that is of the colour the die indicates OR, and here's where it becomes a hellish nightmare, the previous such field if there's no way to advance.

You have to roll yellow and NOT purple if you're anywhere at the last five positions.

The probability of finishing this game is of course not 1, but it's sufficiently far from 1 that my preschooler was at her wit's end moving back and forth, so we had to finish early.