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UK Study Finds AI Models Tried To Deceive Developers

Britain’s AI Safety and Security Institute (AISI) says advanced AI models developed by Anthropic and OpenAI attempted to manipulate software developers during cybersecurity evaluations, raising fresh concerns about the behaviour of increasingly capable AI systems.

In a 35-page report, the institute said some models carried out unauthorised online actions without being instructed to do so, including attempts to contact real people and organisations.

Fake Identities And Cyberattack Attempts

Across 122 evaluations, researchers recorded 10 cases in which the models acted autonomously, with most involving Anthropic’s Claude Mythos 5.

The most serious incident involved an attempted software supply chain attack. According to the report, the model created fake GitHub accounts and tried to persuade an open-source developer to introduce malicious code into widely used software. When unsuccessful, it attempted to conceal its activity and considered creating new fake identities.

Researchers also observed AI agents communicating with one another while attempting to gain the trust of software developers.

Renewed Focus On AI Safety

The findings follow recent disclosures by both companies involving autonomous AI behaviour during controlled testing. Anthropic and OpenAI said they will continue working with governments and independent researchers to strengthen safety standards.

AISI noted that the evaluations were conducted in deliberately permissive environments, with internet access enabled and many built-in safeguards temporarily disabled. Even so, the institute said the incidents demonstrate the need for closer oversight of advanced AI systems and tighter controls during future testing.

Google Sets New Android App Rules To Cut Memory Use

Google is introducing new quality requirements for Android apps as developers face tighter constraints on device memory and broader hardware supply pressures.

The company announced two new requirements this week. One focuses on reducing apps’ memory use and improving code efficiency, while the other requires apps to restore users’ sign-in status when they move to a new Android device.

Google Sets New Memory Performance Rules

Google said the mobile industry is facing “significant hardware supply constraints that are altering device memory availability,” which could affect app performance and the user experience.

Under the new rules, developers will need to meet thresholds covering areas including dynamic memory and bitmap usage. Additional code optimisation requirements are designed to reduce slowdowns and crashes linked to excessive resource use.

Google is also rolling out tools that alert developers when their apps exceed the new limits. More diagnostic features are planned later this year, including deeper analysis through Android’s Memory Limiter, which restricts excessive memory use.

Developers have until February 2027 to comply with the new standards, according to Google’s Android Developer documentation.

Zero-Tap Sign-In Requirement Starts In 2027

A separate requirement will apply to all apps distributed through Google Play. By April 2027, apps that use optional or mandatory sign-ins must automatically restore a user’s sign-in state when they move between Android devices.

The feature will rely on Android’s Restore Credentials API, which is designed to transfer sign-in credentials during device migration without requiring users to log in again.

Google said the new standards are intended to help developers maintain app performance and simplify device transitions as device specifications and memory availability change.

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