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Moltbook isn't real but it can still hurt you

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

Take Back the Em Dash–and Your Voice

https://spin.atomicobject.com/take-back-em-dash/
1•ingve•1m 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•2m ago•0 comments

Teaching Mathematics

https://www.karlin.mff.cuni.cz/~spurny/doc/articles/arnold.htm
1•samuel246•5m ago•0 comments

3D Printed Microfluidic Multiplexing [video]

https://www.youtube.com/watch?v=VZ2ZcOzLnGg
2•downboots•5m 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•5m 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•5m ago•0 comments

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

https://www.youtube.com/shorts/ve02F0gyfjY
1•softwaredoug•6m 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•9m ago•0 comments

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

https://github.com/memovai/mimiclaw
1•ssslvky1•9m 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/
2•jerpint•10m ago•0 comments

The Fall of the Nerds

https://www.noahpinion.blog/p/the-fall-of-the-nerds
1•otoolep•11m 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•14m 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•15m ago•0 comments

You are the reason I am not reviewing this PR

https://github.com/NixOS/nixpkgs/pull/479442
2•midzer•16m ago•1 comments

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

https://familymemories.video
1•tareq_•18m 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•18m 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•18m 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•19m 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•19m ago•0 comments

CLI for Common Playwright Actions

https://github.com/microsoft/playwright-cli
3•saikatsg•21m ago•0 comments

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

https://moondala.one/
1•HamoodBahzar•22m ago•1 comments

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

https://github.com/ykdojo/safeclaw
3•ykdojo•25m 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•26m ago•0 comments

The Evolution of the Interface

https://www.asktog.com/columns/038MacUITrends.html
2•dhruv3006•27m 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•28m ago•0 comments

Seedance2 – multi-shot AI video generation

https://www.genstory.app/story-template/seedance2-ai-story-generator
2•RyanMu•31m ago•1 comments

Πfs – The Data-Free Filesystem

https://github.com/philipl/pifs
2•ravenical•34m ago•0 comments

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

https://github.com/rcarmo/go-busybox
3•rcarmo•35m ago•0 comments

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

https://research.nvidia.com/labs/nemotron/files/NVFP4-QAD-Report.pdf
2•gmays•36m ago•0 comments
Open in hackernews

Solving physics-based initial value problems with unsupervised machine learning

https://link.aps.org/doi/10.1103/PhysRevE.111.055302
27•opnac•8mo ago

Comments

staunton•8mo ago
This paper is solving (basically) high-school-level problems by training neural networks on the "obvious" cost function. All of those problems can be solved much cheaper by standard numerical solvers for ordinary differential equations. They don't even compare to standard methods.

So what's the point? Riding the neural network hype?

logtempo•8mo ago
It's a paper done by a phd, so it's part of a larger study that is probably more interesting than this paper.https://etheses.dur.ac.uk/15828/ (I'm not the author).

But the results and use cases seems to be legit to me. Agin, I'm not an expert on computer science and quantum physics.

ktallett•8mo ago
I would imagine this research is the starting point to prove viability. It isn't about solving issues that haven't been solved, it is often a good point to find new techniques to improve upon current ones eventually that can then be applied to other issues.

(Plus yes, I expect funding was easy to get because of AI)

gus_massa•8mo ago
It would be nice to know if it can solve some hard equations like https://en.wikipedia.org/wiki/Stiff_equation
tanderson92•8mo ago
This is basically all work in the physics-informed ML literature. (As another commenter points out and links to, more and more people have been increasingly frustrated with the hype of this subcommunity).

What is more amazing is that they have conned their way into the funding agency priorities and have broadly affected hiring at universities.

staunton•8mo ago
Is it? I thought the "neural differential equations" stuff sounded cool, https://en.m.wikipedia.org/wiki/Neural_differential_equation

Don't know if it's been used for anything practical yet but modeling dynamical systems which you only partially know by making use of data sounds useful.

acc_297•8mo ago
Today this front page post has a companion front page post probably worth reading in tandem:

https://news.ycombinator.com/item?id=44037941

CGMthrowaway•8mo ago
One of the points seems really important: Because AI researchers almost never publish negative results, AI-for-science is experiencing survivorship bias.

AI will accelerate greatly the survivorship bias crisis we have already seen. Because there are so many more reasons to reject an AI-driven result.

The distribution chart, which I assume was pre-AI, is really scary. It implies that 85-90% of results are never published. https://substackcdn.com/image/fetch/w_1456,c_limit,f_webp,q_...