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Tech Edge: A Living Playbook for America's Technology Long Game

https://csis-website-prod.s3.amazonaws.com/s3fs-public/2026-01/260120_EST_Tech_Edge_0.pdf?Version...
1•hunglee2•53s ago•0 comments

Golden Cross vs. Death Cross: Crypto Trading Guide

https://chartscout.io/golden-cross-vs-death-cross-crypto-trading-guide
1•chartscout•3m ago•0 comments

Hoot: Scheme on WebAssembly

https://www.spritely.institute/hoot/
2•AlexeyBrin•6m ago•0 comments

What the longevity experts don't tell you

https://machielreyneke.com/blog/longevity-lessons/
1•machielrey•7m ago•0 comments

Monzo wrongly denied refunds to fraud and scam victims

https://www.theguardian.com/money/2026/feb/07/monzo-natwest-hsbc-refunds-fraud-scam-fos-ombudsman
2•tablets•12m ago•0 comments

They were drawn to Korea with dreams of K-pop stardom – but then let down

https://www.bbc.com/news/articles/cvgnq9rwyqno
2•breve•14m ago•0 comments

Show HN: AI-Powered Merchant Intelligence

https://nodee.co
1•jjkirsch•16m ago•0 comments

Bash parallel tasks and error handling

https://github.com/themattrix/bash-concurrent
2•pastage•16m ago•0 comments

Let's compile Quake like it's 1997

https://fabiensanglard.net/compile_like_1997/index.html
2•billiob•17m ago•0 comments

Reverse Engineering Medium.com's Editor: How Copy, Paste, and Images Work

https://app.writtte.com/read/gP0H6W5
2•birdculture•23m ago•0 comments

Go 1.22, SQLite, and Next.js: The "Boring" Back End

https://mohammedeabdelaziz.github.io/articles/go-next-pt-2
1•mohammede•29m ago•0 comments

Laibach the Whistleblowers [video]

https://www.youtube.com/watch?v=c6Mx2mxpaCY
1•KnuthIsGod•30m ago•1 comments

Slop News - HN front page right now as AI slop

https://slop-news.pages.dev/slop-news
1•keepamovin•34m ago•1 comments

Economists vs. Technologists on AI

https://ideasindevelopment.substack.com/p/economists-vs-technologists-on-ai
1•econlmics•37m ago•0 comments

Life at the Edge

https://asadk.com/p/edge
3•tosh•42m ago•0 comments

RISC-V Vector Primer

https://github.com/simplex-micro/riscv-vector-primer/blob/main/index.md
4•oxxoxoxooo•46m ago•1 comments

Show HN: Invoxo – Invoicing with automatic EU VAT for cross-border services

2•InvoxoEU•46m ago•0 comments

A Tale of Two Standards, POSIX and Win32 (2005)

https://www.samba.org/samba/news/articles/low_point/tale_two_stds_os2.html
3•goranmoomin•50m ago•0 comments

Ask HN: Is the Downfall of SaaS Started?

3•throwaw12•51m ago•0 comments

Flirt: The Native Backend

https://blog.buenzli.dev/flirt-native-backend/
2•senekor•53m ago•0 comments

OpenAI's Latest Platform Targets Enterprise Customers

https://aibusiness.com/agentic-ai/openai-s-latest-platform-targets-enterprise-customers
1•myk-e•56m ago•0 comments

Goldman Sachs taps Anthropic's Claude to automate accounting, compliance roles

https://www.cnbc.com/2026/02/06/anthropic-goldman-sachs-ai-model-accounting.html
3•myk-e•58m ago•5 comments

Ai.com bought by Crypto.com founder for $70M in biggest-ever website name deal

https://www.ft.com/content/83488628-8dfd-4060-a7b0-71b1bb012785
1•1vuio0pswjnm7•59m ago•1 comments

Big Tech's AI Push Is Costing More Than the Moon Landing

https://www.wsj.com/tech/ai/ai-spending-tech-companies-compared-02b90046
5•1vuio0pswjnm7•1h ago•0 comments

The AI boom is causing shortages everywhere else

https://www.washingtonpost.com/technology/2026/02/07/ai-spending-economy-shortages/
3•1vuio0pswjnm7•1h ago•0 comments

Suno, AI Music, and the Bad Future [video]

https://www.youtube.com/watch?v=U8dcFhF0Dlk
1•askl•1h ago•2 comments

Ask HN: How are researchers using AlphaFold in 2026?

1•jocho12•1h ago•0 comments

Running the "Reflections on Trusting Trust" Compiler

https://spawn-queue.acm.org/doi/10.1145/3786614
1•devooops•1h ago•0 comments

Watermark API – $0.01/image, 10x cheaper than Cloudinary

https://api-production-caa8.up.railway.app/docs
2•lembergs•1h ago•1 comments

Now send your marketing campaigns directly from ChatGPT

https://www.mail-o-mail.com/
1•avallark•1h 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?