frontpage.
newsnewestaskshowjobs

Made with ♥ by @iamnishanth

Open Source @Github

fp.

Oddly Simple GUI Programs

https://simonsafar.com/2024/win32_lights/
1•MaximilianEmel•21s ago•0 comments

The New Playbook for Leaders [pdf]

https://www.ibli.com/IBLI%20OnePagers%20The%20Plays%20Summarized.pdf
1•mooreds•45s ago•0 comments

Interactive Unboxing of J Dilla's Donuts

https://donuts20.vercel.app
1•sngahane•2m ago•0 comments

OneCourt helps blind and low-vision fans to track Super Bowl live

https://www.dezeen.com/2026/02/06/onecourt-tactile-device-super-bowl-blind-low-vision-fans/
1•gaws•3m ago•0 comments

Rudolf Vrba

https://en.wikipedia.org/wiki/Rudolf_Vrba
1•mooreds•4m ago•0 comments

Autism Incidence in Girls and Boys May Be Nearly Equal, Study Suggests

https://www.medpagetoday.com/neurology/autism/119747
1•paulpauper•5m ago•0 comments

Wellness Hotels Discovery Application

https://aurio.place/
1•cherrylinedev•6m ago•1 comments

NASA delays moon rocket launch by a month after fuel leaks during test

https://www.theguardian.com/science/2026/feb/03/nasa-delays-moon-rocket-launch-month-fuel-leaks-a...
1•mooreds•6m ago•0 comments

Sebastian Galiani on the Marginal Revolution

https://marginalrevolution.com/marginalrevolution/2026/02/sebastian-galiani-on-the-marginal-revol...
1•paulpauper•9m ago•0 comments

Ask HN: Are we at the point where software can improve itself?

1•ManuelKiessling•10m ago•0 comments

Binance Gives Trump Family's Crypto Firm a Leg Up

https://www.nytimes.com/2026/02/07/business/binance-trump-crypto.html
1•paulpauper•10m ago•0 comments

Reverse engineering Chinese 'shit-program' for absolute glory: R/ClaudeCode

https://old.reddit.com/r/ClaudeCode/comments/1qy5l0n/reverse_engineering_chinese_shitprogram_for/
1•edward•10m ago•0 comments

Indian Culture

https://indianculture.gov.in/
1•saikatsg•13m ago•0 comments

Show HN: Maravel-Framework 10.61 prevents circular dependency

https://marius-ciclistu.medium.com/maravel-framework-10-61-0-prevents-circular-dependency-cdb5d25...
1•marius-ciclistu•13m ago•0 comments

The age of a treacherous, falling dollar

https://www.economist.com/leaders/2026/02/05/the-age-of-a-treacherous-falling-dollar
2•stopbulying•13m ago•0 comments

Ask HN: AI Generated Diagrams

1•voidhorse•16m ago•0 comments

Microsoft Account bugs locked me out of Notepad – are Thin Clients ruining PCs?

https://www.windowscentral.com/microsoft/windows-11/windows-locked-me-out-of-notepad-is-the-thin-...
3•josephcsible•16m ago•0 comments

Show HN: A delightful Mac app to vibe code beautiful iOS apps

https://milq.ai/hacker-news
5•jdjuwadi•19m ago•1 comments

Show HN: Gemini Station – A local Chrome extension to organize AI chats

https://github.com/rajeshkumarblr/gemini_station
1•rajeshkumar_dev•19m ago•0 comments

Welfare states build financial markets through social policy design

https://theloop.ecpr.eu/its-not-finance-its-your-pensions/
2•kome•23m ago•0 comments

Market orientation and national homicide rates

https://onlinelibrary.wiley.com/doi/10.1111/1745-9125.70023
4•PaulHoule•23m ago•0 comments

California urges people avoid wild mushrooms after 4 deaths, 3 liver transplants

https://www.cbsnews.com/news/california-death-cap-mushrooms-poisonings-liver-transplants/
1•rolph•24m ago•0 comments

Matthew Shulman, co-creator of Intellisense, died 2019 March 22

https://www.capenews.net/falmouth/obituaries/matthew-a-shulman/article_33af6330-4f52-5f69-a9ff-58...
3•canucker2016•25m ago•1 comments

Show HN: SuperLocalMemory – AI memory that stays on your machine, forever free

https://github.com/varun369/SuperLocalMemoryV2
1•varunpratap369•26m ago•0 comments

Show HN: Pyrig – One command to set up a production-ready Python project

https://github.com/Winipedia/pyrig
1•Winipedia•28m ago•0 comments

Fast Response or Silence: Conversation Persistence in an AI-Agent Social Network [pdf]

https://github.com/AysajanE/moltbook-persistence/blob/main/paper/main.pdf
1•EagleEdge•28m ago•0 comments

C and C++ dependencies: don't dream it, be it

https://nibblestew.blogspot.com/2026/02/c-and-c-dependencies-dont-dream-it-be-it.html
1•ingve•29m ago•0 comments

Show HN: Vbuckets – Infinite virtual S3 buckets

https://github.com/danthegoodman1/vbuckets
1•dangoodmanUT•29m ago•0 comments

Open Molten Claw: Post-Eval as a Service

https://idiallo.com/blog/open-molten-claw
1•watchful_moose•29m ago•0 comments

New York Budget Bill Mandates File Scans for 3D Printers

https://reclaimthenet.org/new-york-3d-printer-law-mandates-firearm-file-blocking
2•bilsbie•30m ago•1 comments
Open in hackernews

Learning from failure to tackle hard problems

https://blog.ml.cmu.edu/2025/10/27/learning-from-failure-to-tackle-extremely-hard-problems/
125•djoldman•3mo ago

Comments

axus•3mo ago
The most important clue to solving a difficult problem is knowing that somebody else has already solved it.
baxtr•3mo ago
The problem is time and resources.

Take building a viable company. You know that many people have solved this. But you also know that 9/10 fail.

So you need the time and the money to try enough times to make it work.

djdjdhdh•3mo ago
9/10 vc backed companies fail. Not "companies." Ignore the hype and you'll be more likely to succeed.
stonemetal12•3mo ago
As far as I am aware it is 8/10 across the broader landscape. A little better, but not much.
fhuteedc•3mo ago
Twice as likely to succeed is not insignificant. It's a lot better chance to succeed. You're being led to by folks who want to make you their slave.

https://clarifycapital.com/blog/what-percentage-of-businesse...

That 80% number is after 20 years. That's far longer than almost anyone stays at the same employer. Maybe if those failures are the owners retiring.

You're being lied to. The myths of silicon Valley are not there for the benefit of founders.

shermantanktop•3mo ago
You're describing bruteforcing through repetition. The paper is essentially about increasing the chance of success by training model which learns on failure.

That may not apply to a building a viable company directly. It might suggest that new companies should avoid replicating elements of failed companies.

LPisGood•3mo ago
I had a professor in an additive combinatorics class that would (when appropriate) say “hint: it’s easy” and as silly as it is, it usually helped a lot.
mcmoor•3mo ago
Hint as simple as that feels like spoiler sometimes.
Nevermark•3mo ago
I worked on a problem for a couple months once. As soon as my professor hit mid-sentence telling me he found someone with the solution, I rudely blurted it out.

My mind was so familiar with all the constraints, all I had to know was that there was a solution and I knew exactly where it had to be.

But before knowing there was a solution I hadn't realized that.

truelson•3mo ago
The 4 minute mile comes to mind
paulorlando•3mo ago
While Bannister’s 4-minute mile record is used as an example of a psychological barrier, there’s also a reinterpretation of the meaning behind his record. Before his 1954 race, the record for the mile stood at just over 4 minutes (4:01.4) for 9 years. While speed records were set during WWII, they were all set by Swedish runners (Sweden being neutral in the war). The record today, which has stood since 1999, is 3:43.13. It's not a round number, so as a result gets less attention. Maybe that's why we don't think of it as a psychological barrier.
NooneAtAll3•3mo ago
so it's all a question of marketing

343 is 7 cubed, so just call it "cube barrier!" and it becomes a worthy challenge

mpalmer•3mo ago
343 is 5:43
NooneAtAll3•3mo ago
not for marketing
mcmoor•3mo ago
Reminds me of barriers in speedrunning. Technically all the times are arbitrary, but there's still prestige to be the first person to get under <nice number>. I don't think it really influences the speed of record breaking around it, except that time when there's literally a bounty raised.
richard___•3mo ago
How does this compare to just reducing the likelihood of negative samples?
abtinf•3mo ago
> The [goal] of machine learning research is to [do better than humans at] theorem proving, algorithmic problem solving, and drug discovery.

Naively, one of those things is not like the others.

When I run into things like this, I just stop reading. My assumption is that a keyword is being thrown in for grant purposes. Who knows what other aspects of reality have been subordinated to politics by the writer.

dgacmu•3mo ago
These have all been stated as goals by various machine learning research efforts. And -- they're actually all examples in which a better search heuristic through an absolutely massive configuration space is helpful.
captainclam•3mo ago
You must not end up reading much scientific literature then.
LinuxAmbulance•3mo ago
What's the issue with drug discovery? AI/ML assisted drug discovery is one of the better examples of successful AI utilization out there.
ants_everywhere•3mo ago
which one do you think is unlike the others?
chrisXOXO•3mo ago
That idea feels really relevant to me as a future research direction(not an expert). Could maybe someone explain what I am missing here? Why does this idea not get more attention?! Is it not new? And if so, could one state why it is not commonly employed?