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PwC automates AI governance with Agent Mode

The global professional services network, PwC, has expanded its Model Edge platform with the launch of Agent Mode, an AI assistant designed to automate governance, compliance and documentation across enterprise AI model lifecycles.

The capability targets the growing administrative burden faced by organisations as AI model portfolios scale and regulatory expectations intensify.

Agent Mode allows users to describe governance tasks in natural language, instead of manually navigating workflows.

A system that executes actions directly within Model Edge, generates leadership-ready documentation and supports common document and reporting formats, significantly reducing routine compliance effort.

PwC estimates weekly time savings of between 20 and 50 percent for governance and model risk teams.

Behind the interface, a secure orchestration engine interprets user intent, verifies role based permissions and selects appropriate large language models based on task complexity. The design ensures governance guardrails remain intact while enabling faster and more consistent oversight.

PwC positions Agent Mode as a step towards fully automated, agent-driven AI governance, enabling organisations to focus expert attention on risk assessment and regulatory judgement instead of process management as enterprise AI adoption accelerates.

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Joule Agent workshops help organisations build practical AI agent solutions

Artificial intelligence agents, autonomous systems that perform tasks or assist decision-making, are increasingly part of digital transformation discussions, but their value depends on solving actual business problems rather than adopting technology for its own sake.

SAP’s AppHaus Joule Agent Discovery and Design workshops provide a structured, human-centred approach to help organisations discover where agentic AI can deliver real impact and design agents that collaborate effectively with humans.

The Discovery workshop focuses on identifying challenges and inefficiencies where automation can add value, guiding participants to select high-priority use cases that suit agentic solutions.

The Design workshop then brings users and business experts together to define each AI agent’s role, responsibilities and required skills. By the end of these sessions, participants have detailed plans defining tasks, workflows and instructions that can be translated into actual AI agent implementations.

SAP also supports these formats with self-paced learning courses and toolkits to help anyone run the workshops confidently, emphasising practical human–AI partnerships rather than technology hype.

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OpenAI adds pinned chat feature to ChatGPT apps

The US tech company, OpenAI, has begun rolling out a pinned chats feature in ChatGPT across web, Android and iOS, allowing users to keep selected conversations fixed at the top of their chat history for faster access.

The function mirrors familiar behaviour from messaging platforms such as WhatsApp and Telegram instead of requiring repeated scrolling through past chats.

Users can pin a conversation by selecting the three-dot menu on the web or by long-pressing on mobile devices, ensuring that essential discussions remain visible regardless of how many new chats are created.

An update that follows earlier interface changes aimed at helping users explore conversation paths without losing the original discussion thread.

Alongside pinned chats, OpenAI is moving ChatGPT toward a more app-driven experience through an internal directory that allows users to connect third-party services directly within conversations.

The company says these integrations support tasks such as bookings, file handling and document creation without switching applications.

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Google launches Gemini 3 Flash for scalable frontier AI

The US tech giant, Google, has unveiled Gemini 3 Flash, a new frontier AI model designed for developers who need high reasoning performance combined with speed and low cost.

Built on the multimodal and agentic foundations of Gemini 3 Pro, Gemini 3 Flash delivers faster responses at less than a quarter of the price, while surpassing Gemini 2.5 Pro across several major benchmarks.

The model is rolling out through the Gemini API, Google AI Studio, Vertex AI, Android Studio and other developer platforms, offering higher rate limits, batch processing and context caching that significantly reduce operational costs.

Gemini 3 Flash achieves frontier-level results on advanced reasoning benchmarks while remaining optimised for large-scale production workloads, reinforcing Google’s focus on efficiency alongside intelligence.

Early adopters are already deploying Gemini 3 Flash across coding, gaming, deepfake detection and legal document analysis, benefiting from improved agentic capabilities and near real-time multimodal reasoning.

By lowering cost barriers while expanding performance, Gemini 3 Flash enhances Google’s competitive position in the rapidly evolving AI model market. It broadens access to advanced AI systems for developers and enterprises.

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UNDP and UNESCO support AI training for judiciary

UNESCO and UNDP have partnered to enhance judicial capacity on the ethical use of AI. A three-day Bangkok training, supported by the Thailand Institute of Justice, brought together 27 judges from 13 Asia-Pacific countries to discuss the impact of AI on justice and safeguards for fairness.

Expert sessions highlighted the global use of AI in court administration, research, and case management, emphasising opportunities and risks. Participants explored ways to use AI ethically while protecting human rights and judicial integrity, warning that unsupervised tools could increase bias and undermine public trust.

Trainers emphasised that AI must be implemented with careful attention to bias, transparency, and structural inequalities.

Judges reflected on the growing complexity of verifying evidence in the age of generative AI and deepfakes, and acknowledged that responsible AI can improve access to justice, support case reviews, and free time for substantive decision-making.

The initiative concluded with a consensus that AI adoption in courts should be guided by governance, transparency, and ongoing dialogue. The UNDP will continue to collaborate in advancing ethical, human rights-focused AI in regional judiciaries.

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AI shows promise in scientific research tasks

FrontierScience, a new benchmark from OpenAI, evaluates AI capabilities for expert-level scientific reasoning across physics, chemistry, and biology.

The benchmark measures Olympiad-style reasoning and real-world research tasks, showing how AI can aid complex scientific workflows. Generative AI models like GPT‑5 are now used for literature searches, complex proofs, and tasks that once took days or weeks.

The benchmark consists of two tracks: FrontierScience-Olympiad, with 100 questions created by international Olympiad medalists to assess constrained scientific reasoning, and FrontierScience-Research, with 60 multi-step research tasks developed by PhD scientists.

Initial evaluations show GPT‑5.2 scoring 77% on the Olympiad set and 25% on the Research set, outperforming other frontier models. The results show AI can support structured scientific reasoning but still struggles with open-ended problem solving and hypothesis generation.

FrontierScience also introduces a grading system tailored to each track. The Olympiad set uses short-answer verification, while the Research set employs a 10-point rubric assessing both final answers and intermediate reasoning steps.

Model-based grading allows for scalable evaluation of complex tasks, although human expert oversight remains ideal. Analyses reveal that AI models still make logic, calculation, and factual errors, particularly with niche scientific concepts.

While FrontierScience does not capture every aspect of scientific work, it provides a high-resolution snapshot of AI performance on difficult, expert-level problems. OpenAI plans to refine the benchmark, extend it to new domains, and combine it with real-world tests to track AI’s impact on scientific discovery.

The ultimate measure of success remains the novel insights and discoveries AI can help generate for the scientific community.

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Generative AI use grows across the EU

In 2025, nearly a third of people aged 16–74 across the European Union reported using generative AI tools, according to Eurostat. Most respondents used AI for personal tasks, while fewer applied it for work or education.

The survey data illustrate how generative AI is becoming a part of daily life for millions of Europeans, offering new ways to interact with technology and access creative tools that were once limited to specialists.

Generative AI tools are capable of producing new content, including text, images, videos, programming code, or other forms of data, based on patterns learned from existing examples. Users provide input or prompts, such as instructions or questions, which the AI then uses to generate tailored outputs.

This accessibility is helping people across the EU experiment with technology for both practical and recreational purposes, from drafting documents to designing visuals or exploring creative ideas, demonstrating the growing influence of AI on digital culture and personal productivity.

Adoption of generative AI varies significantly across the EU. Denmark, Estonia, and Malta recorded the highest usage, with nearly half of residents actively engaging with these tools, while Romania, Italy, and Bulgaria showed the lowest uptake, with fewer than a quarter of the population using AI.

These differences may reflect variations in digital infrastructure, education, and public awareness, as well as cultural attitudes toward emerging technologies.

Overall, the Eurostat data provide a snapshot of a digital landscape in transition, reflecting how Europeans are adapting to a new era of intelligent technology.

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OpenAI’s GPT-5 shows a breakthrough in wet lab biology

New research has been published by OpenAI, examining whether advanced AI models can accelerate biological research within the wet lab, rather than just supporting theoretical science.

Working with biosecurity firm Red Queen Bio, researchers tested GPT-5 within a tightly controlled molecular cloning system designed to measure practical laboratory improvements.

Across multiple experimental rounds, GPT-5 independently proposed protocol modifications, analysed results and refined its approach using experimental feedback.

The model introduced a previously unexplored enzymatic mechanism that combines RecA and gp32 proteins, along with adjustments to reaction timing and temperature, resulting in a 79-fold increase in cloning efficiency compared to the baseline protocol.

OpenAI emphasises that all experiments were carried out under strict biosecurity safeguards and still relied on human scientists to execute laboratory work.

Even so, the findings suggest AI systems could work alongside researchers to reduce costs, accelerate experimentation and improve scientific productivity while informing future safety and governance frameworks.

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OpenAI upgrades ChatGPT with faster AI images

The US tech company OpenAI has rolled out a significant update to ChatGPT with the launch of GPT Images 1.5, strengthening its generative image capabilities.

A new model that produces photorealistic images using text prompts at speeds up to four times faster than earlier versions, reflecting OpenAI’s push to make visual generation more practical for everyday use.

Users can upload existing photos and modify them through natural language instructions, allowing objects to be added, removed, combined or blended with minimal effort.

OpenAI highlights applications such as clothing and hairstyle try-ons, alongside stylistic filters designed to support creative experimentation while preserving realistic visual quality.

The update also introduces a redesigned ChatGPT interface, including a dedicated Images section available via the sidebar on both mobile apps and the web.

GPT Images 1.5 is now accessible to regular users, while Business and Enterprise subscribers are expected to receive enhanced access and additional features in the coming weeks.

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Libraries lead UK government push to improve digital inclusion and AI confidence

Libraries Connected, supported by a £310,400 grant from the UK Government’s Digital Inclusion Innovation Fund administered by the Department for Science, Industry and Technology (DSIT), is launching Innovating in Trusted Spaces: Libraries Advancing the Digital Inclusion Action Plan.

The programme will run from November 2025 to March 2026 across 121 library branches in Newcastle, Northumberland, Nottingham City and Nottinghamshire, targeting older people, low-income families and individuals with disabilities to ensure they are not left behind amid rapid digital and AI-driven change.

Public libraries are already a leading provider of free internet access and basic digital skills support, offering tens of thousands of public computers and learning opportunities each year. However, only around 27 percent of UK adults currently feel confident in recognising AI-generated content online, underscoring the need for improved digital and media literacy.

The project will create and test a new digital inclusion guide for library staff, focusing on the benefits and risks of AI tools, misinformation and emerging technologies, as well as building a national network of practice for sharing insights.

Partners in the programme include Good Things Foundation and WSA Community, which will help co-design materials and evaluate the initiative’s impact to inform future digital inclusion efforts across communities.

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