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Ask HN: Do we need "metadata in source code" syntax that LLMs will never delete?

1•andrewstuart•2m ago•1 comments

Pentagon cutting ties w/ "woke" Harvard, ending military training & fellowships

https://www.cbsnews.com/news/pentagon-says-its-cutting-ties-with-woke-harvard-discontinuing-milit...
2•alephnerd•4m ago•1 comments

Can Quantum-Mechanical Description of Physical Reality Be Considered Complete? [pdf]

https://cds.cern.ch/record/405662/files/PhysRev.47.777.pdf
1•northlondoner•5m ago•1 comments

Kessler Syndrome Has Started [video]

https://www.tiktok.com/@cjtrowbridge/video/7602634355160206623
1•pbradv•7m ago•0 comments

Complex Heterodynes Explained

https://tomverbeure.github.io/2026/02/07/Complex-Heterodyne.html
2•hasheddan•8m ago•0 comments

EVs Are a Failed Experiment

https://spectator.org/evs-are-a-failed-experiment/
2•ArtemZ•19m ago•3 comments

MemAlign: Building Better LLM Judges from Human Feedback with Scalable Memory

https://www.databricks.com/blog/memalign-building-better-llm-judges-human-feedback-scalable-memory
1•superchink•20m ago•0 comments

CCC (Claude's C Compiler) on Compiler Explorer

https://godbolt.org/z/asjc13sa6
2•LiamPowell•22m ago•0 comments

Homeland Security Spying on Reddit Users

https://www.kenklippenstein.com/p/homeland-security-spies-on-reddit
2•duxup•25m ago•0 comments

Actors with Tokio (2021)

https://ryhl.io/blog/actors-with-tokio/
1•vinhnx•26m ago•0 comments

Can graph neural networks for biology realistically run on edge devices?

https://doi.org/10.21203/rs.3.rs-8645211/v1
1•swapinvidya•38m ago•1 comments

Deeper into the shareing of one air conditioner for 2 rooms

1•ozzysnaps•40m ago•0 comments

Weatherman introduces fruit-based authentication system to combat deep fakes

https://www.youtube.com/watch?v=5HVbZwJ9gPE
3•savrajsingh•41m ago•0 comments

Why Embedded Models Must Hallucinate: A Boundary Theory (RCC)

http://www.effacermonexistence.com/rcc-hn-1-1
1•formerOpenAI•43m ago•2 comments

A Curated List of ML System Design Case Studies

https://github.com/Engineer1999/A-Curated-List-of-ML-System-Design-Case-Studies
3•tejonutella•47m ago•0 comments

Pony Alpha: New free 200K context model for coding, reasoning and roleplay

https://ponyalpha.pro
1•qzcanoe•51m ago•1 comments

Show HN: Tunbot – Discord bot for temporary Cloudflare tunnels behind CGNAT

https://github.com/Goofygiraffe06/tunbot
2•g1raffe•53m ago•0 comments

Open Problems in Mechanistic Interpretability

https://arxiv.org/abs/2501.16496
2•vinhnx•59m ago•0 comments

Bye Bye Humanity: The Potential AMOC Collapse

https://thatjoescott.com/2026/02/03/bye-bye-humanity-the-potential-amoc-collapse/
3•rolph•1h ago•0 comments

Dexter: Claude-Code-Style Agent for Financial Statements and Valuation

https://github.com/virattt/dexter
1•Lwrless•1h ago•0 comments

Digital Iris [video]

https://www.youtube.com/watch?v=Kg_2MAgS_pE
1•vermilingua•1h ago•0 comments

Essential CDN: The CDN that lets you do more than JavaScript

https://essentialcdn.fluidity.workers.dev/
1•telui•1h ago•1 comments

They Hijacked Our Tech [video]

https://www.youtube.com/watch?v=-nJM5HvnT5k
2•cedel2k1•1h ago•0 comments

Vouch

https://twitter.com/mitchellh/status/2020252149117313349
37•chwtutha•1h ago•6 comments

HRL Labs in Malibu laying off 1/3 of their workforce

https://www.dailynews.com/2026/02/06/hrl-labs-cuts-376-jobs-in-malibu-after-losing-government-work/
4•osnium123•1h ago•1 comments

Show HN: High-performance bidirectional list for React, React Native, and Vue

https://suhaotian.github.io/broad-infinite-list/
2•jeremy_su•1h ago•0 comments

Show HN: I built a Mac screen recorder Recap.Studio

https://recap.studio/
1•fx31xo•1h ago•1 comments

Ask HN: Codex 5.3 broke toolcalls? Opus 4.6 ignores instructions?

1•kachapopopow•1h ago•0 comments

Vectors and HNSW for Dummies

https://anvitra.ai/blog/vectors-and-hnsw/
1•melvinodsa•1h ago•0 comments

Sanskrit AI beats CleanRL SOTA by 125%

https://huggingface.co/ParamTatva/sanskrit-ppo-hopper-v5/blob/main/docs/blog.md
1•prabhatkr•1h ago•1 comments
Open in hackernews

Cortex Linux – AI-Native Operating System (Open Source)

https://github.com/cortexlinux/cortex
3•AIVH•3mo ago

Comments

AIVH•3mo ago
We're building Linux that understands natural language commands.

Example: "Install Oracle 23 AI with GPU acceleration" → System detects your hardware, installs correct CUDA version, configures everything, validates it works. Done in 5 minutes.

Problem: Developers waste 30% of their time fighting package managers and reading documentation.

Solution: Embed AI at the OS level. The system understands intent and optimizes for your hardware.

Open source, seeking contributors. We have 3 initial issues ready for PRs.

Tech stack: Ubuntu 24.04, Claude/GPT-4 for intent parsing, Firejail sandboxing, Python orchestration.

Feedback welcome - what would you want an AI-powered OS to handle?

bigyabai•3mo ago
> The Problem

> Installing complex software on Linux is broken

Agreed.

> The solution

> Cortex Linux embeds AI at the operating system level.

That is not the solution. Determinism is the goal; introducing AI will create more problems than it fixes.

AIVH•3mo ago
Valid concern about determinism. Let me clarify:

The AI layer translates intent → deterministic commands. It doesn't execute randomly.

Example workflow: 1. User: "install docker with nvidia support" 2. AI generates: ["apt update", "apt install docker.io", "apt install nvidia-docker2"] 3. Sandbox validates commands against whitelist 4. Execute deterministically 5. Verify installation

The AI is the interface layer, not the execution layer. Commands are reproducible and auditable.

We're also building dry-run mode so users can review before execution.

Think of it like: AI = smart man page reader, not autonomous agent making random decisions.

Open to feedback on making this more deterministic. What would make you more comfortable with the approach?

AIVH•3mo ago
Update (12 hours in):

We now have working code! Three PRs merged:

- AI command interpreter with Claude/GPT-4 support - Sandboxed execution engine with security controls - Hardware profiling system (CPU/GPU/RAM detection)

Phase 1 is 60% complete already. The open source community is amazing.

Just posted 10 new issues with bounties ($25-100): github.com/cortexlinux/cortex/issues

Huge thanks to dhvil and Sahilbhatane for the excellent work.

Looking for more contributors - especially for package manager integration and CLI interface.