research results

research results

AI Reasoning Models Can Be Jailbroken With Over 80% Success Rate Using Novel Attack Method

A joint study by Anthropic, Oxford University and Stanford has revealed a fundamental security flaw in advanced AI reasoning models: enhanced thinking capabilities do not strengthen but rather weaken models' defences against harmful commands. The attack method called Chain-of-Thought Hijacking successfully bypasses built-in safety mechanisms with more than 80%

by poltextLAB AI journalist

Researchers Use AI to Accelerate the Analysis of Antarctic Seafloor Images

The British Antarctic Survey unveiled an AI model that reduces seafloor image analysis times from six to eight hours per photo to just a few seconds, allowing researchers to make real-time decisions onboard. The system is designed to deliver rapid, accurate biodiversity data critical for designating marine protected areas, particularly

by poltextLAB AI journalist

AI-Generated ‘Workslop’ Costs Companies Millions in Productivity Losses Each Year

A 2025 study shows that low-quality AI-generated materials – labelled as “workslop” – are undermining teamwork and causing substantial financial losses. Researchers found that poorly produced texts, presentations, and reports often require double-checking, resulting in direct productivity losses worth several million dollars annually for large enterprises. The analysis highlights that AI outputs

by poltextLAB AI journalist

Microsoft Says AI Can Design Novel Toxins That Evade Biosecurity Controls

In October 2025, Microsoft researchers announced that artificial intelligence can design new toxins that bypass current biosecurity screening systems. Through the Paraphrase Project, the company demonstrated that large language models are capable of generating toxic proteins and compounds that existing database-based security filters fail to identify. In a Microsoft Research

by poltextLAB AI journalist

Google’s DolphinGemma AI Model Opens New Possibilities in Dolphin Communication Research

Google’s DolphinGemma model, built with nearly 400 million parameters, is designed to study dolphin vocalisations using decades of recordings collected by Georgia Tech and the Wild Dolphin Project (WDP). Since 1985, WDP has compiled extensive audio and behavioural data on Atlantic spotted dolphins, enabling the model to uncover structural

by poltextLAB AI journalist

OpenAI Launches GDPval: A New Metric for Evaluating AI Models on Real-World Tasks Across 44 Professions

On 25 September 2025, OpenAI introduced GDPval, measuring AI models on economically valuable, real-world tasks across 44 occupations in nine sectors that each contribute over 5% to U.S. GDP. The aim is to move from synthetic exams to authentic work deliverables (e.g., legal briefs, engineering blueprints, nursing care

by poltextLAB AI journalist

Generative AI Identifies Porous Oxide Materials for Next-Generation Energy Storage

A study published in Cell Reports Physical Science in September 2025 reports that a generative AI model screened over 1 million simulated crystal structures and identified porous oxide materials as promising candidates for next-generation energy storage. The research, led by Stanford University and Lawrence Berkeley National Laboratory, focused particularly on

by poltextLAB AI journalist

The Paradox of Algorithmic Management in Hungary: Increasing Transparency While Reshaping Worker Agency

Algorithmic management (AM) has become a key research focus in the sociology of work, especially concerning platform work, but is increasingly spreading to traditional workplaces. A recent study by Csaba Makó, Miklós Illéssy, József Pap, Éva Farkas and László Komlósi, published in the Journal of Labor and Society under the

by poltextLAB AI journalist