Hacker News

Do you wait for the AI while it works if you are a lawyer?

Hacker News - Thu, 02/12/2026 - 9:52pm

I think it's a good approach. It allows you to think and relax. You don't need to multi-task. Just be engaged with the AI like you would a person. It will improve the output.

Comments URL: https://news.ycombinator.com/item?id=46998381

Points: 1

# Comments: 1

Categories: Hacker News

The Table

Hacker News - Thu, 02/12/2026 - 9:48pm
Categories: Hacker News

Show HN: Preview CoreML video models on any video feed

Hacker News - Thu, 02/12/2026 - 9:46pm

Hello everyone -- my name is Chase, the creator of Camera Graph. Frustrated by lack of customizable video tools out there for macOS that aren't OBS, I built Camera Graph. The latest update surfaces the ability to download CoreML models directly from Hugging Face and preview them on any video feed.

Comments URL: https://news.ycombinator.com/item?id=46998343

Points: 1

# Comments: 0

Categories: Hacker News

Show HN: Wip – Monitor AI agent commits and local Git state from the CLI

Hacker News - Thu, 02/12/2026 - 9:38pm

wip is a CLI tool that scans your git repos and passively detects AI agent activity from git signals — commit authors, branch naming patterns — then surfaces it alongside your own work: dirty files, stashes, branches, ahead/behind status.

The problem: AI coding agents (Claude, Copilot, Cursor, Devin) push commits, create branches, and open PRs across your repos. You come back and have no idea what changed. wip gives you that picture in one command. Features: - Agent detection with active/recent/stale status - AI-powered narrative briefings (Anthropic, OpenAI, Gemini) - WIP task tracker linked to repos - JSON output for scripting - Local-first, no telemetry Built the whole thing with Claude Code (Opus 4.6) in about 5 hours, idea to PyPI. Python 3.9+, MIT licensed. GitHub: github.com/drmnaik/wip PyPI: pypi.org/project/wip-cli Would love feedback — especially on what signals you'd want detected beyond commit authors and branch prefixes.

Comments URL: https://news.ycombinator.com/item?id=46998301

Points: 2

# Comments: 0

Categories: Hacker News

Show HN: MicroGPT in 243 Lines – Demystifying the LLM Black Box

Hacker News - Thu, 02/12/2026 - 9:38pm

The release of microgpt by Andrej Karpathy is a foundational moment for AI transparency. In exactly 243 lines of pure, dependency-free Python, Karpathy has implemented the complete GPT algorithm from scratch. As a PhD scholar investigating AI and Blockchain, I see this as the ultimate tool for moving beyond the "black box" narrative of Large Language Models (LLMs).

The Architecture of Simplicity Unlike modern frameworks that hide complexity behind optimized CUDA kernels, microgpt exposes the raw mathematical machinery. The code implements:

The Autograd Engine: A custom Value class that handles the recursive chain rule for backpropagation without any external libraries.

GPT-2 Primitives: Atomic implementations of RMSNorm, Multi-head Attention, and MLP blocks, following the GPT-2 lineage with modernizations like ReLU.

The Adam Optimizer: A pure Python version of the Adam optimizer, proving that the "magic" of training is just well-orchestrated calculus.

The Shift to the Edge: Privacy, Latency, and Power For my doctoral research at Woxsen University, this codebase serves as a blueprint for the future of Edge AI. As we move away from centralized, massive server farms, the ability to run "atomic" LLMs directly on hardware is becoming a strategic necessity. Karpathy's implementation provides empirical clarity on how we can incorporate on-device MicroGPTs to solve three critical industry challenges:

Better Latency: By eliminating the round-trip to the cloud, on-device models enable real-time inference. Understanding these 243 lines allows researchers to optimize the "atomic" core specifically for edge hardware constraints.

Data Protection & Privacy: In a world where data is the new currency, processing information locally on the user's device ensures that sensitive inputs never leave the personal ecosystem, fundamentally aligning with modern data sovereignty standards.

Mastering the Primitives: For Technical Product Managers, this project proves that "intelligence" doesn't require a dependency-heavy stack. We can now envision lightweight, specialized agents that are fast, private, and highly efficient.

Karpathy’s work reminds us that to build the next generation of private, edge-native AI products, we must first master the fundamentals that fit on a single screen of code. The future is moving toward decentralized, on-device intelligence built on these very primitives. Link:

https://blog.saimadugula.com/posts/microgpt-black-box.html

Comments URL: https://news.ycombinator.com/item?id=46998295

Points: 2

# Comments: 0

Categories: Hacker News

The Automated Soundboard for Streamers

Hacker News - Thu, 02/12/2026 - 9:30pm

Article URL: https://killervibe.app

Comments URL: https://news.ycombinator.com/item?id=46998238

Points: 1

# Comments: 0

Categories: Hacker News

What Makes Oxygen Special?

Hacker News - Thu, 02/12/2026 - 9:06pm

Article URL: https://www.quanxr.org/elctronspins

Comments URL: https://news.ycombinator.com/item?id=46998053

Points: 1

# Comments: 0

Categories: Hacker News

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