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

1•andrewstuart•3m 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•6m 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•6m ago•1 comments

Kessler Syndrome Has Started [video]

https://www.tiktok.com/@cjtrowbridge/video/7602634355160206623
1•pbradv•9m ago•0 comments

Complex Heterodynes Explained

https://tomverbeure.github.io/2026/02/07/Complex-Heterodyne.html
3•hasheddan•9m ago•0 comments

EVs Are a Failed Experiment

https://spectator.org/evs-are-a-failed-experiment/
2•ArtemZ•21m 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•22m ago•0 comments

CCC (Claude's C Compiler) on Compiler Explorer

https://godbolt.org/z/asjc13sa6
2•LiamPowell•23m ago•0 comments

Homeland Security Spying on Reddit Users

https://www.kenklippenstein.com/p/homeland-security-spies-on-reddit
3•duxup•26m ago•0 comments

Actors with Tokio (2021)

https://ryhl.io/blog/actors-with-tokio/
1•vinhnx•27m 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•40m ago•1 comments

Deeper into the shareing of one air conditioner for 2 rooms

1•ozzysnaps•41m ago•0 comments

Weatherman introduces fruit-based authentication system to combat deep fakes

https://www.youtube.com/watch?v=5HVbZwJ9gPE
3•savrajsingh•42m ago•0 comments

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

http://www.effacermonexistence.com/rcc-hn-1-1
1•formerOpenAI•44m 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•48m ago•0 comments

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

https://ponyalpha.pro
1•qzcanoe•52m ago•1 comments

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

https://github.com/Goofygiraffe06/tunbot
2•g1raffe•55m ago•0 comments

Open Problems in Mechanistic Interpretability

https://arxiv.org/abs/2501.16496
2•vinhnx•1h 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

Show HN: Obsidian Workflows with Gemini: Inbox Processing and Task Review

https://gist.github.com/juanpabloaj/59bc13fbed8a0f8e87791a3fb0360c19
15•juanpabloaj•2w ago

Comments

juanpabloaj•2w ago
Inbox Processing Workflow - GTD-style system to keep your inbox at zero, with AI classification of notes to projects, resources, or someday/maybe lists.

Incomplete Tasks Review Workflow - weekly review that analyzes your tasks, identifies gaps, detects duplicates, and generates a focused "plan of attack" with your highest-priority actions.

Both workflows combine classic productivity principles (GTD, weekly reviews) with AI assistance to reduce cognitive load and maintain system trust. They use command-line tools (find, ripgrep) to analyze your vault and generate processing recommendations in an easy-to-review card format.

Use at your own risk. Validate each command before executing it. It is strongly recommended to use a version control system (Git) in your Obsidian vault to visualize and revert changes made by the agent.

Any suggestions to improve these workflows are appreciated.

treetalker•2w ago
I'd enjoy seeing a video of this being used in the intended way and to good effect (because I'm confident that my conception of how it works is inaccurate).
maurelius2•2w ago
Thanks for sharing! Easy to follow instructions.

I can see the PARA structure and perhaps a bit of Zettelkasten in the peripheral (but that might be my own bias).

I'm using a similar system (here's a link) https://blog.hampusadamsson.com/blog/How%20I%20Manage%20Note...

And also a custom plugin to do parts of the LLM (here's another shameless link) lifting: https://github.com/hampusadamsson/modai

maurelius2•2w ago
(I missed adding my question and now I don'tknow how to edit my previous reply)

What I'm curious about and something I'm struggling with myself: are you feeling that the productive uplift of offloading work to an LLM limits the gain of managing a second brain like this?

juanpabloaj•2w ago
I'm not sure if I am understanding your question,

Is it something like: if we delegate management, we could lose awareness of the knowledge contained in the notes?

juanpabloaj•2w ago
If that is the question,

I agree, the LLM support we lose some level of manual work, maybe that is useful to be more familiar with the information, although I am not sure if that is a critical step. The LLM gives us management support. We can use a command to collect incomplete tasks, the LLM is doing that with extra steps, and it shows us the collected information, but in the end, we decide which tasks to prioritize.