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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•2m ago•0 comments

Take Back the Em Dash–and Your Voice

https://spin.atomicobject.com/take-back-em-dash/
1•ingve•2m 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•3m ago•0 comments

Teaching Mathematics

https://www.karlin.mff.cuni.cz/~spurny/doc/articles/arnold.htm
1•samuel246•6m ago•0 comments

3D Printed Microfluidic Multiplexing [video]

https://www.youtube.com/watch?v=VZ2ZcOzLnGg
2•downboots•6m 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•6m 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•6m ago•0 comments

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

https://www.youtube.com/shorts/ve02F0gyfjY
1•softwaredoug•7m 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•10m ago•0 comments

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

https://github.com/memovai/mimiclaw
1•ssslvky1•10m 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•12m 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•15m 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•17m ago•1 comments

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

https://familymemories.video
1•tareq_•19m 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•19m 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•19m 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•20m 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•20m 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•23m ago•1 comments

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

https://github.com/ykdojo/safeclaw
3•ykdojo•26m 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•27m ago•0 comments

The Evolution of the Interface

https://www.asktog.com/columns/038MacUITrends.html
2•dhruv3006•28m 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•32m ago•1 comments

Πfs – The Data-Free Filesystem

https://github.com/philipl/pifs
2•ravenical•35m ago•0 comments

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

https://github.com/rcarmo/go-busybox
3•rcarmo•36m 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•37m ago•0 comments
Open in hackernews

Ask HN: How does my usage of LLMs train the underlying models?

1•emehex•7mo ago
I understand that using tools like Chat, Cursor, and Claude Code for software development is likely providing training data to help these LLMs get better at coding (the irony isn't lost on me that I might be contributing to making myself obsolete...)

But I'm curious about the actual mechanics: How exactly does this feedback loop work? When I accept, reject, or modify the code that these models spit out, is that signal fed directly back into training?

Not necessarily against this, just genuinely curious about how the sausage is made.

Comments

incomingpain•7mo ago
>ow exactly does this feedback loop work? When I accept, reject, or modify the code that these models spit out, is that signal fed directly back into training?

My understanding is that essentially nobody uses our inputs as training anymore. It makes the models worse when they were doing this.

Garbage data in, garbage out.

They want to control and use only quality data as their training data.