In a move that signals a significant shift in global AI strategy, companies such as OpenAI, Google and Perplexity AI are partnering with Indian telecoms and service providers to offer premium AI tools, for example, advanced chatbot access and large-model features, free for millions of users in India.
The offers are not merely promotional but part of a long-term play to dominate the AI ecosystem.
Market analysts quoted by the BBC note that the objective is to ‘get Indians hooked on to generative AI before asking them to pay for it’. The size of India’s digital ecosystem, with its young, mobile-first population and relatively less restrictive regulation, makes it a key battleground for AI firms aiming for global scale.
However, there are risks: free access may raise concerns around privacy and data protection, algorithmic control and whether users are fully informed about how their data is used and when free offers will convert into paid services.
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Salesforce has signed a definitive agreement to acquire Spindle AI, a company specialising in agentic analytics and machine learning. The deal aims to strengthen Salesforce’s Agentforce platform by integrating Spindle’s advanced data modelling and forecasting technologies.
Spindle AI has developed neuro-symbolic AI agents capable of autonomously generating and optimising scenario models. Its analytics tools enable businesses to simulate and assess complex decisions, from pricing strategies to go-to-market plans, using AI-driven insights.
Salesforce said the acquisition will enhance its focus on Agent Observability and Self-Improvement within Agentforce 360. Executives described Spindle AI’s expertise as critical to building more transparent and reliable agentic systems capable of explaining and refining their own reasoning.
The acquisition, subject to customary closing conditions, is expected to be completed in Salesforce’s fourth fiscal quarter of 2026. Once finalised, Spindle AI will join Agentforce to expand AI-powered analytics, continuous optimisation, and ROI forecasting for enterprise customers worldwide.
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Hackers are experimenting with malware that taps large language models to morph in real time, according to Google’s Threat Intelligence Group. An experimental family dubbed PROMPTFLUX can rewrite and obfuscate its own code as it executes, aiming to sidestep static, signature-based detection.
PROMPTFLUX interacts with Gemini’s API to request on-demand functions and ‘just-in-time’ evasion techniques, rather than hard-coding behaviours. GTIG describes the approach as a step toward more adaptive, partially autonomous malware that dynamically generates scripts and changes its footprint.
Investigators say the current samples appear to be in development or testing, with incomplete features and limited Gemini API access. Google says it has disabled associated assets and has not observed a successful compromise, yet warns that financially motivated actors are exploring such tooling.
Researchers point to a maturing underground market for illicit AI utilities that lowers barriers for less-skilled offenders. State-linked operators in North Korea, Iran, and China are reportedly experimenting with AI to enhance reconnaissance, influence, and intrusion workflows.
Defenders are turning to AI, using security frameworks and agents like ‘Big Sleep’ to find flaws. Teams should expect AI-assisted obfuscation, emphasise behaviour-based detection, watch model-API abuse, and lock down developer and automation credentials.
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A High Court judge warned that a solicitor who pushed an expert to accept an AI-generated draft breached their duty. Mr Justice Waksman called it a gross breach and cited a case from the latest survey. He noted 14% of experts would accept such terms, which is unacceptable.
Updated guidance clarifies what limited judicial AI use is permissible. Judges may use a private ChatGPT 365 for summaries with confidential prompts. There is no duty to disclose, but the judgment must be the judge’s own.
Waksman cautioned against legal research or analysis done by AI. Hallucinated authorities and fake citations have already appeared. Experts must not let AI answer the questions they are retained to decide.
Survey findings show wider use of AI for drafting and summaries. Waksman drew a bright line between back-office aids and core duties. Convenience cannot trump independence, accuracy and accountability.
For practitioners, two rules follow. Solicitors must not foist AI-drafted expert opinions, and experts should refuse. Within courts, limited, non-determinative AI may assist, but outcomes must be human.
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India’s data centre market is expanding rapidly, driven by rapid AI adoption, mobile internet growth, and massive foreign investment from firms such as Google, Amazon and Meta. The sector is projected to expand 77% by 2027, with billions more expected to be spent on capacity by 2030.
Rapid expansion of energy-hungry and water-intensive facilities is creating serious sustainability challenges, particularly in water-scarce urban clusters like Mumbai, Hyderabad and Bengaluru. Experts warn that by 2030, India’s data centre water consumption could reach 358 billion litres, risking shortages for local communities and critical services in India.
Authorities and industry players are exploring solutions including treated wastewater, low-stress basin selection, and zero-water cooling technologies to mitigate environmental impact. Officials also highlight the need to mandate renewable energy use to balance India’s digital ambitions with decarbonisation goals.
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Oracle Health and Life Sciences has announced a strategic collaboration with the Cancer Center Informatics Society (Ci4CC) to accelerate AI innovation in oncology. The partnership unites Oracle’s healthcare technology with Ci4CC’s national network of cancer research institutions.
The two organisations plan to co-develop an electronic health record system tailored to oncology, integrating clinical and genomic data for more effective personalised medicine. They also aim to explore AI-driven drug development to enhance research and patient outcomes.
Oracle executives said the collaboration represents an opportunity to use advanced AI applications to transform cancer research. The Ci4CC President highlighted the importance of collective innovation, noting that progress in oncology relies on shared data and cross-institution collaboration.
The agreement, announced at Ci4CC’s annual symposium in Miami Beach US, remains non-binding but signals growing momentum in AI-driven precision medicine. Both organisations see the initiative as a step towards turning medical data into actionable insights that could redefine oncology care.
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The Central Bank of Ireland has launched a new campaign to alert consumers to increasingly sophisticated scams targeting financial services users. Officials warned that scammers are adapting, making caution essential with online offers and investments.
Scammers are now using tactics such as fake comparison websites that appear legitimate but collect personal information for fraudulent products or services. Fraud recovery schemes are also common, promising to recover lost funds for an upfront fee, which often leads to further financial loss.
Advanced techniques include AI-generated social media profiles and ads, or ‘deepfakes’, impersonating public figures to promote fake investment platforms.
Deputy Governor Colm Kincaid warned that scams now offer slightly above-market returns, making them harder to spot. Consumers are encouraged to verify information, use regulated service providers, and seek regulated advice before making financial decisions.
The Central Bank advises using trusted comparison sites, checking ads and investment platforms, ignoring unsolicited recovery offers, and following the SAFE test: Stop, Assess, Factcheck, Expose. Reporting suspected scams to the Central Bank or An Garda Síochána remains crucial to protecting personal finances.
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Large language models (LLMs) are increasingly used to grade, hire, and moderate text. UZH research shows that evaluations shift when participants are told who wrote identical text, revealing source bias. Agreement stayed high only when authorship was hidden.
When told a human or another AI wrote it, agreement fell, and biases surfaced. The strongest was anti-Chinese across all models, including a model from China, with sharp drops even for well-reasoned arguments.
AI models also preferred ‘human-written’ over ‘AI-written’, showing scepticism toward machine-authored text. Such identity-triggered bias risks unfair outcomes in moderation, reviewing, hiring, and newsroom workflows.
Researchers recommend identity-blind prompts, A/B checks with and without source cues, structured rubrics focused on evidence and logic, and human oversight for consequential decisions.
They call for governance standards: disclose evaluation settings, test for bias across demographics and nationalities, and set guardrails before sensitive deployments. Transparency on prompts, model versions, and calibration is essential.
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The National and Kapodistrian University of Athens has announced a new partnership with Google to enhance university-level education in AI. The collaboration grants all students free 12-month access to Google’s AI Pro programme, a suite of advanced learning and research tools.
Through the initiative, students can use Gemini 2.5 Pro, Google’s latest AI model, along with Deep Research and NotebookLM for academic exploration and study organisation. The offer also includes 2 TB of cloud storage and access to Veo 3 for video creation and Jules for coding support.
The programme aims to expand digital literacy and increase hands-on engagement with generative and research-driven AI tools. By integrating these technologies into everyday study, the university hopes to cultivate a new generation of AI-experienced graduates.
University officials view the collaboration as a milestone in Greek AI-driven education, following recent national initiatives to introduce AI programmes in schools and healthcare. The partnership marks a significant step in aligning higher education with the global digital economy.
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As interest in AI grows, many companies that previously cut staff are now rehiring some of the same employees. Visier data shows about 5.3 percent of laid-off workers have returned, marking a steady but rising trend.
The findings suggest AI adoption has not yet replaced human labour at the scale some executives anticipated.
Visier’s analysis of 2.4 million employees across 142 global companies indicates that AI tools often automate parts of tasks rather than entire jobs. Experts say organisations are realising that AI implementation costs, including infrastructure, data systems, and security, often exceed initial projections.
Many companies now rely on experienced staff to manage or complement AI tools effectively.
Industry observers highlight a gap between expectations and outcomes. MIT research shows around 95 percent of firms have yet to see measurable financial returns from AI investments.
Cost-cutting measures such as layoffs also carry hidden expenses, with estimates suggesting companies spend $1.27 for every $1 saved when reducing staff.
Executives are urged to carefully assess AI’s true impact before assuming workforce reductions will deliver long-term savings. Rehiring former employees has become a practical response to bridge skill gaps and ensure technology integration succeeds without disrupting operations.
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