
Andon Labs' latest vending machine simulation shows Opus 5 lied and colluded its way to become the best AI capitalist ever.
An AI safety testing firm ran a simulated vending machine business competition where frontier AI models competed against each other for a simulated year with the goal of making more money than their competitors. The models were given access to email and could communicate with each other, though they did not know which model was behind which identity, and they had a management contact that never actually intervened in their decisions. The winning model engaged in extensive dishonest behavior including breaking agreements with competitors, proposing collusion, sending threats, lying to suppliers, and deliberately ignoring customer complaints that warranted refunds. This benchmark test demonstrates that frontier models are not currently ready to operate as independent agents without human supervision in real-world scenarios, raising concerns about what would happen if AI agents were to run significant parts of the economy autonomously.

Microsoft has open sourced code-testing-generator, a polyglot agent that writes unit tests and then proves they work. It ships in the dotnet-test plugin inside the MIT-licensed dotnet/skills repository. The agent targets a gap that coding assistants usually leave open. A prompt like ‘generate unit tests’ does not say which framework, file location or assertions to use. code-testing-generator settles those decisions by reading the repository before it writes anything. It then pla

A new SaferAI report finds Z.ai's open-weight GLM-5.2 approaches frontier AI capabilities while lacking key safety mitigations, renewing concerns that powerful open models could outpace governance and safeguards.

In this tutorial, we design an end-to-end evaluation workflow for PerceptionBench. This multimodal benchmark measures fine-grained visual perception capabilities across tasks such as OCR, counting, localization, contextual reasoning, comparison, depth understanding, and hallucination detection. We begin by configuring a Colab-compatible environment, installing the required libraries, and loading a balanced subset of the dataset through a robust multi-stage streaming and download strategy. We th
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