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EVs Are a Failed Experiment

https://spectator.org/evs-are-a-failed-experiment/
1•ArtemZ•2m ago•0 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•3m ago•0 comments

CCC (Claude's C Compiler) on Compiler Explorer

https://godbolt.org/z/asjc13sa6
1•LiamPowell•4m ago•0 comments

Homeland Security Spying on Reddit Users

https://www.kenklippenstein.com/p/homeland-security-spies-on-reddit
2•duxup•7m ago•0 comments

Actors with Tokio (2021)

https://ryhl.io/blog/actors-with-tokio/
1•vinhnx•8m 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•21m ago•1 comments

Deeper into the shareing of one air conditioner for 2 rooms

1•ozzysnaps•22m ago•0 comments

Weatherman introduces fruit-based authentication system to combat deep fakes

https://www.youtube.com/watch?v=5HVbZwJ9gPE
2•savrajsingh•23m ago•0 comments

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

http://www.effacermonexistence.com/rcc-hn-1-1
1•formerOpenAI•25m 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•29m ago•0 comments

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

https://ponyalpha.pro
1•qzcanoe•33m ago•1 comments

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

https://github.com/Goofygiraffe06/tunbot
1•g1raffe•36m ago•0 comments

Open Problems in Mechanistic Interpretability

https://arxiv.org/abs/2501.16496
2•vinhnx•42m ago•0 comments

Bye Bye Humanity: The Potential AMOC Collapse

https://thatjoescott.com/2026/02/03/bye-bye-humanity-the-potential-amoc-collapse/
2•rolph•46m ago•0 comments

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

https://github.com/virattt/dexter
1•Lwrless•48m ago•0 comments

Digital Iris [video]

https://www.youtube.com/watch?v=Kg_2MAgS_pE
1•vermilingua•53m ago•0 comments

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

https://essentialcdn.fluidity.workers.dev/
1•telui•54m ago•1 comments

They Hijacked Our Tech [video]

https://www.youtube.com/watch?v=-nJM5HvnT5k
1•cedel2k1•57m ago•0 comments

Vouch

https://twitter.com/mitchellh/status/2020252149117313349
34•chwtutha•57m 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•58m 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•59m 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

'Washington Post' CEO resigns after going AWOL during job cuts

https://www.npr.org/2026/02/07/nx-s1-5705413/washington-post-ceo-resigns-will-lewis
4•thread_id•1h ago•1 comments

Claude Opus 4.6 Fast Mode: 2.5× faster, ~6× more expensive

https://twitter.com/claudeai/status/2020207322124132504
1•geeknews•1h ago•0 comments

TSMC to produce 3-nanometer chips in Japan

https://www3.nhk.or.jp/nhkworld/en/news/20260205_B4/
3•cwwc•1h ago•0 comments

Quantization-Aware Distillation

http://ternarysearch.blogspot.com/2026/02/quantization-aware-distillation.html
2•paladin314159•1h ago•0 comments

List of Musical Genres

https://en.wikipedia.org/wiki/List_of_music_genres_and_styles
1•omosubi•1h ago•0 comments
Open in hackernews

Show HN: mister.jar – Modular MRJAR Files Made Easy

http://lingocoder.com/mrjar/mrjar.usage.html
1•burnerToBetOut•4w ago
Since version 9 of Java (~2014) it's had the Java Platform Module System (JPMS) [1].

TL;DR: Like the 'M' in JPMS suggests, it let's you compose a system using collaborating chunks of functionality.

It's fair to say that Java modules are designed mainly with the JDK itself in mind. The JDK itself is JPMS' most gung ho user. Modules' main goal in life seems to mostly be to keep riff raff system programmers from poking around in the JDKs internals.

Java modules are a killer idea in my opinion. So it surprises me that it's been adopted by so few in the Java ecosystem beyond the Java platform itself.

I wrote the com.lingocoder.mrjar Gradle plugin [2] as a hobby project. Mostly because I get a kick out of designing and building modular applications.

I'm under no illusions that this plugin will have any impact whatsoever on adoption of Java modules. I'm just putting it out there as a demonstration.

I'm hoping it shows how developing JPMS-based libraries doesn't have to be as onerous as many application programmers at most Java shops seem to think.

[1] https://openjdk.java.net/jeps/261 [2] http://lingocoder.com/mrjar/

Comments

burnerToBetOut•3w ago
Say what you will about "Agentic Coding". But it deserves credit where credit is due.

I'm not the fanniest of fanboys there is for AI agent-assisted coding. Not hardly. I have an AGENTS.md in every single project. The directives in it strictly forbid agents from ever presenting unsolicited diffs to change my code. If any ever do and I haven't explicitly requested them, I reject them.

That said, the deafening crickets from this post led me to discover a valuable use case for Cline (formerly Claude Dev) [1]. Namely: verifying the clarity and correctness of usage instructions.

I copied and pasted the usage instructions that I provide on the com.lingocoder:mrjar plugin's Git Hub Pages [2]

Apart from me having to tell it where to find a Gradle binary, the agent understood the usage instructions without me having to change anything in them.

That gives me confidence that the steps themselves are clear. And, if followed faithfully, they result in Gradle successfully building a project that applies the plugin. The example configurations in the instructions produce a successfully initialized project.

Most overextended software engineers who want reproducible builds, would appreciate the value in handing off that kind of proofreading task to a robut.

[1] https://g2ww.short.gy/IfSoInClined [2] http://lingocoder.com/mrjar/