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A founding document of mechanistic interpretability [Elhage et al. 2021]

https://transformer-circuits.pub/2021/framework/index.html#summary-of-results
1•philipfweiss•20s ago•0 comments

"This Is Fine": How Clean Rooms Train Agents to Close the Books on Fire

https://archytas-ai.com/blog/this-is-fine
1•nlpnerd•21s ago•0 comments

Cobbly – Write one line. Get a website, or a 3D object you can print

https://cobbly.online/
1•dotmanish•2m ago•0 comments

Show HN: Bitcoin-rs – An independent Bitcoin full node in Rust

https://github.com/gosuda/bitcoin-rs
1•dreamcacao02183•2m ago•0 comments

Vercel: Computer use CLI for AI agents

https://agent-browser.dev/desktop
1•soltanov•7m ago•0 comments

A unusual sight catches the eye of those passing through the town

https://www.facebook.com/reel/1654659392879719
1•moltean•9m ago•0 comments

Show HN: Run xv6-riscv(64Bit,MMU) with RP2350

https://github.com/kamisori-daijin/pico-rv64-emu
1•kamisori-daijin•11m ago•0 comments

Show HN: Open a 300k-row XLSX in the browser in ~300ms, no server

https://github.com/p10node/office-engine
14•pierreneter•20m ago•1 comments

Test and verification technique effectiveness with GPT-6 Astra

https://danluu.com/astra-testing/
1•surprisetalk•23m ago•0 comments

Kenneth Boulding's Sonnets on Numbers

https://crab.rutgers.edu/users/goertzel/bouldingsonnets.htm
1•pkress2•25m ago•0 comments

Show HN: MCPgraphy – a proxy that learns when your agent's MCP tools work

https://github.com/hemanth1999k/mcpgraphy
1•hemanth2k•26m ago•0 comments

Six Companies Adopt the Accessible Games Initiative Tags

https://accessiblegames.com/news/six-companies-adopt-the-tags/
2•rbits•28m ago•0 comments

Thoughts on LLMs Editing Weights: What's New?

https://ycao.net/posts/llm-rw-weights
1•xiaoyu2006•31m ago•0 comments

Cloudflare experiencing multiple active incidents

https://www.cloudflarestatus.com/
2•jp1016•36m ago•0 comments

VeilCC – AI-resistant binary hardening that seals critical logic

https://veilcc.com/
1•AmeerArsala•38m ago•0 comments

The Midterm Downturn

https://www.reuters.com/graphics/USA-ELECTIONS/MIDTERM-SWINGS/xmpjwxbeovr/
1•gmays•38m ago•0 comments

Show HN: Provenance – A Spec That Evolves with Your Code

https://github.com/quality-sh/provenance
1•xScrubghetti•44m ago•0 comments

Front End Without the Browser

https://redmonk.com/kholterhoff/2026/11/03/frontend-without-the-browser-wth/
1•zapt02•45m ago•0 comments

NASA's Swift space telescope predicted to crash back to Earth tomorrow

https://www.abc.net.au/news/science/2026-11-03/nasa-swift-telescope-crash-landing/100018476
5•Gaishan•46m ago•0 comments

35% Faster Than the Filesystem

https://www.sqlite.org/fasterthanfs.html
1•prakashqwerty•49m ago•0 comments

A new take on the Fermi paradox

1•danbmil99•49m ago•0 comments

Show HN: Followz – A simple RSS feed for the blogs of people you like

https://followz.vercel.app/
1•addy0001•50m ago•1 comments

Eject yourself from work with a little help from Codex

https://github.com/openai/redcard
1•prakashqwerty•53m ago•0 comments

A LoveLetter to Flash Animation [video]

https://www.youtube.com/watch?v=ggoEoBCpMAs
1•joeyjojo•1h ago•0 comments

Is hosting an open-source inference engine profitable?

https://userecurrence.ai/research/is-hosting-open-source-inference-profitable
1•Sheldon_fun•1h ago•0 comments

Project "Ares" – start to colonize Mars in 10 years, for a $42B budget

https://www.youtube.com/watch?v=wX00YRuLPDI
2•d_silin•1h ago•0 comments

Informed Choices: Gender Gaps in Career Advice

https://www.nber.org/papers/w35750
2•rohanm93•1h ago•0 comments

AI advisors debate your business decision in Claude Code

https://github.com/nateherkai/roast-room
2•dotmanish•1h ago•0 comments

Disc Image Studio Turns Blank CDs and DVDs into Laser-Etched Artwork

https://www.gizmoweek.com/disc-image-studio/
1•loog5566•1h ago•0 comments

X/Twitter Is Down

https://imgur.com/a/wc8QHNf
5•nomilk•1h ago•2 comments
Open in hackernews

Show HN: API Testing and Security with AI

https://qodex.ai/
8•siddhant_mohan•1y ago

Comments

anuragdt•1y ago
Generating tests is good, but how to handle the updating tests? Also how will you handle the flakiness and side effects of AI models?
siddhant_mohan•1y ago
We handles flakiness with retries, smart waits, and isolation, while side effects are avoided using clean setups, teardowns, and state-safe mocks. Each tests scenarios are independent of each other and can be configured in a way to have prerequisite to setup the system and the post callback to cleanup the system

About updating test scenarios, we map it with your github commits and when a new commits come, we use the diff to figure out if tests failing are because of a bug or because of a new feature.

kshitijzeoauto•1y ago
It claims to plug into your CI pipeline, detect what changed, and generate relevant test cases using LLMs.

As someone who’s struggled with stale or missing tests—especially in fast-moving codebases—I find this idea quite compelling. But I’m also curious about how it handles:

Contextual understanding across large codebases (e.g., multiple modules touched in a PR) Avoiding flaky or non-deterministic tests Matching team-specific coding styles or conventions