843 stories
Google spent late September publicizing benchmark gains for Gemini 4 Argon. By the first week of October, one of those benchmark runs produced an unexpected operational postmortem.
Frontier artificial intelligence labs spent the past eighteen months asking Washington for a bargain. In exchange for submitting to federal safety evaluations, frontier developers wanted statutory protection from civil liability when autonomous systems fail in production.
Most AI tools have a fake safety filter. They just scan your prompt for a list of banned words. If you type a bad word, it blocks you. But hackers know this. So they bypass the front door. Today, a developer named Adam took my "Break KODA" challenge. He didn't use a bad word.
This is a submission for the Hacktoberfest Weekend Challenge: Build for a Friend What I Built Basira (بصيرة, "insight" in Arabic) is a private, offline document reader for people with low vision.
When developers start building LLM-backed applications, there is a common temptation: select the newest, largest frontier model, drop the API key into an environment variable, and ship it. During local testing, large models feel great.
This is a submission for the Sanity Challenge, Path Two: Vibe-Code Something Strange What I Built Dead Software Library — a haunted cemetery for discontinued software, inspired by Dead Poets Society.
OpenAI quietly published openai/mcp-extensions on September 29. It is an Apache-2.0 repository with a specification, a TypeScript SDK (@openai/mcp-extensions) and a Python SDK (openai-mcp-extensions), currently at 0.1.0.
we all know the drill. your code breaks. the terminal spits out 40 lines of red text. you copy it. you paste it into google. you click a stackoverflow link from 2014. the solution doesn't work because your stack is different. you waste 45 minutes. i got tired of it. so i built KODA.
Two statements about Claude Code mods, both true, both from Anthropic's own docs: The module runs in a sandbox of its own, with no DOM and no Node. "Mods aren't sandboxed." The first two days of the mods launch have been one long argument about which of these is the lie. Neither is.
Originally published at AI Agent Security: The Runtime Surface Around Every Tool Call on smartgate.network. A shorter version of "AI Agent Security: The Runtime Surface Around Every Tool Call" — the full piece lives at smartgate.network.
Short answer: put a chat-based classifier in front of invoice extraction and require one small JSON-schema result: allow, review, or block, plus policy categories and a reason.
Switching AI models is easy. Bringing your project context along is the annoying part. You explain what you’re building, who it’s for, and the decisions you’ve already made. Then you open another chat and explain it all again. I’m KAT, co-founder of 123sudo.
Reddit is full of people describing problems out loud. Founders ask what others are building, site owners ask why Google is ignoring their pages, and small business owners ask for help they cannot find elsewhere.
TL;DR: Pick a gateway for moderation classification by the evidence it preserves, not by how many model names fit behind one key. Require every provider path to produce the same small JSON contract, validate it before accepting the result, and record why routing or fallback happened.
A team compares two versions of an AI service. Average accuracy rises from 82% to 86%. The new version looks better, so releasing it seems like the obvious decision. Then an engineer separates the failures by type.
Originally published on tamiz.pro. You added another 2,000 tokens of coding conventions to your system prompt. Your agent now follows the style guide... but it also ignores your bug-fix instructions, hallucinates import paths, and produces function bodies that are 40% longer than necessary.
Should you trade with Jev? Not on price data, not yet. I haven't found anyone who has shown it beats a simple model at reading a market, and in my own test it read Bitcoin's indicators the wrong way round.
When two diplomats sat down to negotiate a fragile ceasefire in 2024, neither realized the "neutral" AI translation tool they relied on had been quietly shaped by the geopolitical priorities of the country that built it. The words were translated correctly. The emphasis was not.
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