Feed aggregator

Article URL: https://www.popsci.com/science/what-does-remastering-an-album-mean/

Comments URL: https://news.ycombinator.com/item?id=46939556

Points: 1

# Comments: 0

Article URL: https://phys.org/news/2026-02-quantum-twins-simulator-unveils-dots.html

Comments URL: https://news.ycombinator.com/item?id=46939550

Points: 1

# Comments: 0

Open source multi-tenant layer for OpenClaw. Each user gets an isolated container, credentials stay encrypted in a vault and are only decrypted inside the container. Zero knowledge - the platform can't read your API keys or conversations.

Comments URL: https://news.ycombinator.com/item?id=46939536

Points: 1

# Comments: 0

I built a terminal dashboard for managing multiple Claude Code sessions, inspired by k9s (the Kubernetes TUI).

The problem: When running several Claude Code agents in parallel via tmux, switching between sessions and keeping track of what each one is doing gets messy fast. I wanted something like k9s but for Claude Code – a single pane of glass to see all my sessions at a glance.

What it does: Lists all Claude Code tmux sessions with live status Quick navigation and switching between sessions (k9s-style keybindings) Written in Go, single binary, no dependencies beyond tmux

Install: go install github.com/seunggabi/claude-dashboard/cmd/claude-dashboard@latest

I know there are similar tools out there (claude-squad, tmuxcc), but I wanted something lightweight and opinionated toward the k9s workflow I'm already used to from Kubernetes. If you manage multiple Claude Code sessions daily, I'd love your feedback.

Comments URL: https://news.ycombinator.com/item?id=46939527

Points: 1

# Comments: 0

Article URL: https://blog.alpindale.net/posts/5090_decode_optimization/

Comments URL: https://news.ycombinator.com/item?id=46939526

Points: 1

# Comments: 0

Article URL: https://mashable.com/article/tech-ceos-epstein-files-musk-gates-hoffman-thiel-zuckerberg

Comments URL: https://news.ycombinator.com/item?id=46939520

Points: 4

# Comments: 0

I was reading the papers listed at https://www.cs.princeton.edu/courses/archive/fall22/cos597G/ to learn about LLMs. My background’s in physics, not ml/cs, so while I able to understand the mathematics for the most part, I was getting hung up on the jargon at times. I found myself repeatedly taking screenshots of a page and uploading it on gemini, asking it to simplify the language. Doing that so many times manually sucks for more than one reason, so I ended up writing something which does that automatically for every page. It turned out to be more useful than I expected: for example reading this paper https://arxiv.org/pdf/2111.02080 would normally have taken me about 2-3hr, but now I was able to go through it in ~20min, mostly by clicking the next and return keys on my keyboard. Just putting it here in case someone else finds it useful too. https://eli5app.net/ (use on your laptop it’s barely functional right now and be gentle already way over supabase’s free tier limits)

PS: Also unexpectedly useful for reading philosophy works which are unnecessarily verbose, usually full of unclear fancy language: https://eli5app.net/pirate/Western%20Philosophy. never expected reading plato’s apology would be this fun. also found it useful for reading abstract math stuff like vakil’s rising sea which I always wanted to read. It somehow becomes more fun,‘easier’(grounded?) when reading it along w the eli5 summaries.

PS: Was also able to read all of pg essays pretty quickly this way too entirely by clicking return,return,”ah I see”,cmd+back on repeat.

Comments URL: https://news.ycombinator.com/item?id=46939518

Points: 1

# Comments: 0

Article URL: https://whatoblock.com/

Comments URL: https://news.ycombinator.com/item?id=46939490

Points: 1

# Comments: 1

Article URL: https://www.bbc.co.uk/news/articles/cn87l12e4xeo

Comments URL: https://news.ycombinator.com/item?id=46939466

Points: 1

# Comments: 0

Article URL: https://michaeldoornbos.com/2026/02/03/my-advice-to-6-18-year-olds-who-want-to-learn-to-program/

Comments URL: https://news.ycombinator.com/item?id=46939455

Points: 1

# Comments: 0

Show HN: When 'Risk Algorithms' Fail – My store was attacked, and Stripe finished the job.

Comments URL: https://news.ycombinator.com/item?id=46939447

Points: 1

# Comments: 0

Article URL: https://robdodson.me/posts/i-gave-my-second-brain-a-gardener/

Comments URL: https://news.ycombinator.com/item?id=46939443

Points: 1

# Comments: 0

Article URL: https://100daystooffload.com/

Comments URL: https://news.ycombinator.com/item?id=46939088

Points: 1

# Comments: 0

Hi everyone,

I built EasyMemory, an open-source Python library that provides a fully local-first memory layer for chatbots and agent-based systems, with no cloud dependency.

Most existing agent memory solutions rely on third-party services or embeddings-only retrieval. EasyMemory is designed as a local, modular system to experiment with how agents store, structure, and retrieve information beyond pure vector search.

Key features • Automatic conversation persistence • Hybrid retrieval: embeddings + keyword search + graph-style links • Supports PDF, TXT, DOCX, and Markdown • Optional integrations with Slack, Notion, and Google Drive • MCP server for connecting local or remote LLMs

The goal is to provide a flexible foundation for exploring different memory patterns locally, without locking into a single retrieval strategy or external service.

Feedback and comparisons with other approaches to agent memory, RAG, or long-term context management are very welcome.

Repo: https://github.com/JustVugg/easymemory

Comments URL: https://news.ycombinator.com/item?id=46939050

Points: 1

# Comments: 0

Article URL: https://twitter.com/bouazizalex/status/2020159203382550530

Comments URL: https://news.ycombinator.com/item?id=46939045

Points: 1

# Comments: 0

I built a small runtime safety layer for LLM outputs called ZTGI Safety Gateway.

This is not a new foundation model and not an AGI claim. It is a post-generation control layer that sits between candidate outputs and final response selection.

What it does: - Scores each candidate with two risk tracks: - legacy risk (`p_break`) - hybrid risk (`z_next`: instruction breach + sycophancy + divergence signals) - Enforces hard blocks for: - security abuse prompts - contradiction-actionable prompts - high-risk finance-actionable prompts - Returns SAFE/WARN/BREAK with telemetry.

Current repo: https://github.com/capterr/ztgi-safety-gateway

Quick run: 1) Set API key: export GEMINI_API_KEY=YOUR_KEY 2) Build evidence pack: python ztgi_build_submission_pack.py --model "gemini-2.0-flash" --out "ztgi_submission_pack" 3) Inspect: - ztgi_submission_pack/evidence/ztgi_evidence_live.json - ztgi_submission_pack/evidence/ztgi_evidence_live.csv - ztgi_submission_pack/assets/ztgi_manifund_evidence.png

What I’d like feedback on: - failure modes I’m missing - overblocking vs underblocking tradeoff - better eval set design for independent validation

I’m happy to share raw outputs and discuss limitations directly.

FIRST COMMENT (pin this under your post): Technical notes + limitations

- This project is a runtime guard, not model-level alignment. - Some safety behavior can still come from base-model policy itself. - I’m trying to measure where the gateway actually adds value via hard-block reasons + telemetry. - Current stress set is small and intentionally adversarial. - Next step is broader independent eval (including false-positive tracking).

If you want to reproduce quickly: - Python 3.10+ - GEMINI_API_KEY set - matplotlib installed - run: python ztgi_build_submission_pack.py --model "gemini-2.0-flash" --out "ztgi_submission_pack"

Happy to add your suggested test prompts to the regression suite and report back with results.

Comments URL: https://news.ycombinator.com/item?id=46939042

Points: 1

# Comments: 0

Article URL: https://www.wired.com/story/the-only-thing-standing-between-humanity-and-ai-apocalypse-is-claude/

Comments URL: https://news.ycombinator.com/item?id=46939033

Points: 1

# Comments: 0

Article URL: https://www.zolkos.com/2026/02/04/deep-dive-how-claude-codes-insights-command-works.html

Comments URL: https://news.ycombinator.com/item?id=46939008

Points: 1

# Comments: 0

Article URL: https://www.freep.com/story/news/columnists/neal-rubin/2026/02/08/achatz-homemade-pie-dubai-chocolate-valentines-day/88516230007/

Comments URL: https://news.ycombinator.com/item?id=46939003

Points: 1

# Comments: 2