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A Complete Guide to Neural Network Optimizers

https://chizkidd.github.io//2026/01/22/neural-net-optimizers/
1•ibobev•1m ago•0 comments

Categories of Inference-Time Scaling for Improved LLM Reasoning

https://magazine.sebastianraschka.com/p/categories-of-inference-time-scaling
1•ibobev•1m ago•0 comments

What Your VPN Knows About You (and Why It Matters)

1•CulperLink•2m ago•0 comments

The Devastating Decline of a Brilliant Young Coder (2020)

https://www.wired.com/story/lee-holloway-devastating-decline-brilliant-young-coder/
1•abelanger•2m ago•1 comments

IIFE for Complex Initialization

https://www.cppstories.com/2016/11/iife-for-complex-initialization/
1•ibobev•2m ago•0 comments

The Rise and Fall of the American Monoculture

https://www.wsj.com/business/media/american-pop-culture-history-ce8672f1
1•mikhael•2m ago•0 comments

Reetcode: Extension to add LeetCode style features to Rosalind

https://github.com/zkirby/reetcode
1•zkirby•2m ago•0 comments

What Were the Crusades and Why Do They Still Matter?

https://www.thecollector.com/what-were-crusades/
1•Tomte•3m ago•0 comments

Show HN: Sign and Attest Kubernetes Manifests

https://github.com/meigma/blob-argo-cmp
2•aliasxneo•4m ago•0 comments

Sonic R: The R&R mod – Hacks the Saturn Racing Game into a Platformer

https://32bits.substack.com/p/sonic-r-the-r-and-r-mod
3•regus•5m ago•0 comments

Meta drops appeal against ruling for non-algorithmic timelines in Nederlands

https://nltimes.nl/2026/01/26/meta-drops-appeal-court-ruling-requiring-non-algorithmic-social-med...
2•giuliomagnifico•5m ago•0 comments

FOSS maintenance as emotional labor: software stewardship mimics librarianship

https://www.hughrundle.net/i-accidentally-became-a-foss-maintainer-and-all-i-got-was-this-lousy-n...
1•speckx•5m ago•0 comments

Show HN: A simple way to send secrets between teammates

https://www.30s.sh/
1•dannytatom•5m ago•0 comments

Rare Data Hunters [video]

https://www.youtube.com/watch?v=IU4ByUbDKNc
1•olivierestsage•5m ago•0 comments

The all new Mecha Comet, live on Kickstarter

https://www.youtube.com/watch?v=utZajNmPe1Y
2•krthr•6m ago•0 comments

Kevin Kelly: The March of Nines

https://kk.org/thetechnium/the-march-of-nines/
1•swolpers•6m ago•0 comments

Animate – iPad app for raster and vector animation by Canvas Software

https://www.canvassoftware.org
1•authman2•9m ago•1 comments

Payment processors were against CSAM until Grok started making it

https://www.theverge.com/ai-artificial-intelligence/867874/stripe-visa-mastercard-amex-csam-grok
3•cdrnsf•9m ago•0 comments

Show HN: A Local OS for LLMs. MIT License. Zero Hallucinations. Local Memory

https://github.com/merchantmoh-debug/Remember-Me-AI
1•MohskiBroskiAI•9m ago•2 comments

RCS, SMS via the internet, is good, but that doesn't matter

https://manualdousuario.net/en/using-rcs/
1•rpgbr•9m ago•0 comments

Tech workers urge CEOs to condemn ICE

https://www.axios.com/2026/01/26/tech-workers-ceos-ice
4•gdilla•11m ago•3 comments

Sabotage or 'systems failure': What caused the Air India crash?

https://www.telegraph.co.uk/news/2026/01/24/air-india-crash-evidence/
1•gmac•11m ago•1 comments

Show HN: Malan Chat, a full immersion language learning app for 62 languages

https://www.malan.chat
1•sam_osterfeld•11m ago•0 comments

US Army 11th Airborne completes annual cold-weather training exercise (2025)

https://www.webcenterfairbanks.com/2025/02/06/itg-11th-airborne-completes-annual-cold-weather-tra...
1•throw0101a•12m ago•1 comments

Global Investment in Clean Tech Hit a New High Last Year

https://e360.yale.edu/digest/2025-clean-energy-investment
2•speckx•12m ago•0 comments

Ask HN: How do you organize apps on home screen?

1•zahrevsky•14m ago•1 comments

Positional Encodings: The Part Everyone Skips

https://suyogdahal.com.np/posts/understanding-positional-encodings/
1•just-another-se•15m ago•0 comments

Why do VCs fund AI-native companies but still run on manual workflows?

https://or-levi.medium.com/the-cobblers-children-have-no-co-pilot-why-vcs-are-losing-the-ai-opera...
1•pelegpor•17m ago•1 comments

Microsoft's latest AI chip goes head-to-head with Amazon and Google

https://www.theverge.com/news/867670/microsoft-maia-200-ai-chip-announcement
1•slee425•18m ago•0 comments

Building Agentic Infrastructure for Zero-Day Vulnerability Research

https://kritt.ai/technical-review
1•yufiz•19m ago•0 comments
Open in hackernews

Show HN: Inverting Agent Model(App as Clients,Chat as Server and Reflection)

https://github.com/RAIL-Suite/RAIL
1•ddddazed•1h ago
Hello HN. I’d like to start by saying that I am a developer who started this research project to challenge myself. I know standard protocols like MCP exist, but I wanted to explore a different path and have some fun creating a communication layer tailored specifically for desktop applications.

The project is designed to handle communication between desktop apps in an agentic manner, so the focus is strictly on this IPC layer (forget about HTTP API calls).

At the heart of RAIL (Remote Agent Invocation Layer) are two fundamental concepts. The names might sound scary, but remember this is a research project:

Memory Logic Injection + Reflection Paradigm shift: The Chat is the Server, and the Apps are the Clients.

Why this approach? The idea was to avoid creating huge wrappers or API endpoints just to call internal methods. Instead, the agent application passes its own instance to the SDK (e.g., RailEngine.Ignite(this)).

Here is the flow that I find fascinating:

The App passes its instance to the RailEngine library running inside its own process.

The Chat (Orchestrator) receives the manifest of available methods. The Model decides what to do and sends the command back via Named Pipe.

The Trigger: The RailEngine inside the App receives the command and uses Reflection on the held instance to directly perform the .Invoke().

Essentially, I am injecting the "Agent Logic" directly into the application memory space via the SDK, allowing the Chat to pull the trigger on local methods remotely.

A note on the Repo: The GitHub repository has become large. The core focus is RailEngine and RailOrchestrator. You will find other connectors (C++, Python) that are frankly "trash code" or incomplete experiments. I forced RTTR in C++ to achieve reflection, but I'm not convinced by it. Please skip those; they aren't relevant to the architectural discussion.

I’d love to focus the discussion on memory-managed languages (like C#/.NET) and ask you:

Architecture: Does this inverted architecture (Apps "dialing home" via IPC) make sense for local agents compared to the standard Server/API model? Performance: Regarding the use of Reflection for every call—would it be worth implementing a mechanism to cache methods as Delegates at startup? Or is the optimization irrelevant considering the latency of the LLM itself? Security: Since we are effectively bypassing the API layer, what would be a hypothetical security layer to prevent malicious use? (e.g., a capability manifest signed by the user?)

I would love to hear architectural comparisons and critiques.