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Write your own LLM Benchmarks
Every LLM launch announcement comes with a similar slide: a wall of benchmark scores, each a point or two higher than last month’s. Those numbers matter but they are also about someone else’s problem.
21 分钟 · Hacker News 最新
Top Penetration Testing Companies in the USA by Use Case
If you are validating your current pentesting partner or shopping for a new one, either your board, auditors, or enterprise clients are demanding an independent security validation & proof of compliance with frameworks …
30 分钟 · Hacker News 最新LATEST STORIES
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What Influenced Your AI LLM Policy精选导读
Open a merge request by following the link GitLab provided during the push;
Writing about pratt parsing so I remember it精选导读
I got bored and wanted to make a parser of C expressions. this will probably become a compiler at some point. previously, I’ve made a calculator using shunting yard, but with an itch to perhaps make a compiler of some k…
Writing about pratt parsing so I remember it精选导读
I got bored and wanted to make a parser of C expressions. this will probably become a compiler at some point. previously, I’ve made a calculator using shunting yard, but with an itch to perhaps make a compiler of some k…
The Autonomous Lifecycle Protocol精选导读
The open standard & high-performance execution engine for AI-driven software engineering. Write a machine-readable spec — let your agents plan, build, verify, and remember.
Edit an SQLite Database in your browser精选导读
Open a SQLite file, a .sql dump or a CSV, edit the data in a grid or with SQL, then download a fresh file. Read once, never written to, never uploaded.
Anthropic's Disproof of the ETH精选导读
title={A $2^{o(n)}$ Time Algorithm for 3-SAT},
I Went to India and Found It Has Lessons for Us All精选导读
暂无摘要
Show HN: whenever.dev - Vercel and v0 for Workflows精选导读
Build, deploy, and run deterministic flows, AI steps, and full agents in one place.
From the bottom of my heart, I salute you精选导读
When I was doing digging using the trusted Feynman agent I, or the agents, bumped into a paper published on the 9th of October 2025 of a joint study done by Anthropic, the UK AI Security Institute and the Alan Turing In…