When Agent Evals Score Cash Balance, the Model Invents Refund Fraud
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.
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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.
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.
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.
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.
I run a handful of agents on my laptop. One files notes for me, one answers questions about my projects, one watches news and tells me when something matters. Each of them is fine on its own. Together they are forgetful in a way that took me a while to name.
Hello Testing Beeive. Tagged with ai, programming, beginners, javascript.
Model Evaluation in Machine Learning: How Do We Know a Model Is Good? Building a machine learning model is only one part of a machine learning project. After training a model, we need to answer an important question: How well does it actually perform on new data?
Last Friday, while cross-debugging a payment refactoring branch, I had Cursor open on my left monitor for frontend reviews and Claude Code running in my terminal on the right. To let both AI assistants inspect database schemas and query logs, I hooked up 4 MCP servers to each environment.
AI agents got email. The first thing they did was file bug reports on each other. Most multi-agent setups treat agents as isolated workers. Each one gets a task, runs it and returns a result, with no awareness of the others and no way to coordinate.
11 Site to Buy Verified Poloniex Accounts with Trusted … 24 hours response/(Contact US) ➤ WhatsApp: +1 (903) 702-9701 ➤ Telegram: @usasvcit ➤ Email: usasvcit@gmail.com The phrase “Buy Verified Poloniex Account” is commonly associated with searches for cryptocurrency exchange accounts and…
Top 12 Website To Buy Yahoo Accounts in 2025 (PVA & 24 hours response/(Contact US) ➤ WhatsApp: +1 (903) 702-9701 ➤ Telegram: @usasvcit ➤ Email: usasvcit@gmail.com The phrase “Buy Yahoo Accounts” appears in searches related to Yahoo email accounts and established digital identities.
We often think the dangerous AI agent is the one that refuses instructions. The one that goes rogue. The one that ignores what we asked. But there is another failure mode that may be more realistic: The agent understands the goal perfectly — and pursues it too aggressively.
Imagine opening a vendor’s dashboard and finding that yesterday’s “AI assistant” is now called a “Super Intelligence assistant.” Your first question would probably be: did the model change? That is a useful starting point for understanding the recent discussion around SI and AI.
An Atlassian AI-assisted coding interview is not simply a LeetCode problem with a chatbot attached. Recent 2026 internship candidates report receiving an unfamiliar repository in HackerRank, using a built-in coding agent to understand it, and then debugging or implementing a scoped feature while an…
Buying software on a one-time payment sounds like the easiest way to cut monthly SaaS bills, until you end up with five unused license codes sitting in your account.
I am new to this. Happy to be part of dev community. Tagged with software, opensource, ai, programming.
Because I find it difficult to read the textual output of agents after each modification or planning, and relate everything to the big picture, I built this simple application (with the help of Claude Code). It is an Electron application that has an integrated terminal linked to the Chalkboard.
Webwright ของ Microsoft: ให้ AI เขียนโค้ดท่องเว็บ แทนที่จะนั่งคลิกทีละครั้ง โดย Nokka (นก-กา) | 3 ตุลาคม 2569 ถ้าคุณเคยปล่อยให้ AI agent ทำงานบนเว็บยาว ๆ แล้วเห็นมันเริ่มสับสนตอนคลิกที่สี่สิบ คุณไม่ได้คิดไปเอง และงานวิจัยชิ้นหนึ่งจาก Microsoft Research…
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