Twenty-five years after its launch, SharePoint has grown into one of Microsoft’s largest collaboration platforms, serving more than one billion users annually. The service now underpins vast volumes of enterprise content, with billions of files and millions of sites created each day.
Microsoft positions the platform as a foundational knowledge layer for Microsoft 365 Copilot. As the primary grounding source for Copilot, it contributes to the Work IQ intelligence layer, enabling AI tools to operate within an organisational context.
New agentic capabilities allow teams to build solutions using natural language prompts within governed Microsoft 365 environments. Custom AI skills package organisational standards, terminology, and business logic, helping ensure outputs align with internal policies and workflows.
AI-driven publishing features are now embedded across its web authoring tools. Organisations can plan, refine, and distribute content at scale while maintaining governance controls and consistent communication standards.
Content stored in SharePoint also powers semantic indexing and retrieval systems that support contextual discovery across Microsoft 365 applications. Microsoft says these capabilities enable more proactive knowledge surfacing and strengthen Copilot’s ability to deliver grounded responses.
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Hundreds of academics urged governments to halt plans for mandatory age checks on social media, rather than accelerating deployment without assessing the risks.
Researchers argue that current systems expose people to privacy breaches, security vulnerabilities and malicious sites that ignore verification rules instead of offering meaningful protection.
They say scientific consensus has not yet formed on the benefits or harms of age-assurance technologies, making large-scale implementation premature and potentially discriminatory.
The letter stresses that any credible system would require cryptographic safeguards for every query, protecting data in transit rather than leaving identity checks to platforms without robust technical guarantees.
Academics believe such infrastructure would be complex to build globally and would create friction that many providers may refuse to adopt.
Concern escalated after early deployments in Italy and France, where verification is already mandatory.
Signatories, including Ronald Rivest and Bart Preneel, warn that governments risk introducing a socially unacceptable system that increases exposure to data misuse instead of ensuring children’s safety online.
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The social media platform, X, has introduced a new ‘Paid Partnership’ label that creators can attach to posts to show when content is promotional instead of leaving audiences unsure about commercial intent.
An update that improves transparency for followers while meeting rules set by the Federal Trade Commission, which expects sponsored material to be disclosed clearly.
Creators previously relied on hashtags such as #ad or #paidpartnership instead of an integrated disclosure option. The new feature allows users to apply the label through a content-disclosure toggle either during posting or afterwards.
X’s product lead, Nikita Bier, said undisclosed promotions damage trust and weaken the platform’s integrity, so the tool is meant to support creators and regulators simultaneously.
X has been trying to build a stronger creator ecosystem by offering payouts, subscriptions and other incentives. Yet many creators still favour Instagram or YouTube over X as their primary channel, because those platforms have longer-standing monetisation tools.
The addition of a built-in label aligns X with broader industry practice and aims to regain credibility among advertisers and creators.
The company has also tightened API access, preventing programmatic replies unless a user is directly mentioned or quoted.
A change that seeks to limit LLM-generated spam instead of allowing automated responses to distort discussions or appear as fake engagement beneath sponsored content.
X hopes these combined measures will enhance authenticity around commercial posts.
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As organisations expand across cloud environments, non-human identities are becoming a critical component of modern cybersecurity strategies. Managing machine identities and their associated secrets is increasingly central to reducing risk and improving AI-driven threat detection.
As digital infrastructure grows, machine identities function as secure access credentials for applications, services, and automated processes. Effective governance can reduce vulnerabilities, improve compliance, and streamline operations across sectors such as finance and healthcare.
Integrating non-human identities into AI security frameworks enables more contextual anomaly detection and improved visibility into network behaviour. Rather than relying solely on static scanning, organisations can adopt adaptive models that enhance predictive threat response.
Challenges remain, particularly around coordination between security, DevOps, and research teams. Gaps in collaboration and limited awareness of identity lifecycle management can create blind spots that weaken overall cyber resilience.
Automation is increasingly seen as essential for scaling non-human identity management. By automating secrets rotation, certificate renewal, and access reviews, organisations can strengthen governance while enabling security teams to focus on higher-value strategic priorities.
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Ericsson has completed the world’s first pre-standard 6G over-the-air session in the United States, marking a milestone toward commercial 6G networks. The trial took place in Plano, Texas, using a pre-standard system built on an AI-native, cloud-based architecture.
The demonstration validated core 6G building blocks, including radio hardware, RAN Compute, software-defined air interfaces and cloud platforms. Ericsson said its software architecture is deployable across CPU and GPU hardware environments.
The trial used spectrum in the 7GHz range with 400 MHz carrier bandwidth and focused on uplink performance, energy efficiency and spectral utilisation. The system included Ericsson radios, baseband platforms and cloud-native software.
According to the company, the test demonstrated capabilities to support AI-driven applications, such as robotics, that require real-time control and high-quality video streaming. Future 6G networks are expected to deliver consistent low latency and enhanced uplink capacity for advanced AI services.
Ericsson said the milestone strengthens US participation in global standards development, including 3GPP and Open RAN. The company plans to expand trials across additional spectrum bands while building on its US research and manufacturing footprint.
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Nokia and Deutsche Telekom have expanded their collaboration to advance cloud-based, disaggregated, and AI-native RAN technologies. The strengthened Innovation Cooperation Program deepens joint work in Cloud RAN, open interfaces, and next-generation solutions.
The partnership builds on years of cooperation focused on open and flexible architectures. Both companies said the expanded effort aims to improve network efficiency, programmability, and long-term operational value for service providers.
Work on Open Fronthaul integration is being intensified following earlier multivendor deployments in Germany linking Nokia baseband units with O-RAN-compliant radios. Additional integrations covering Open Fronthaul and Cloud RAN are progressing within confidential development programmes.
The companies are also advancing O-RAN-aligned management capabilities through open O1 interfaces and deeper integration of configuration management. A vendor-independent Service Management and Orchestration platform remains central to Deutsche Telekom’s multivendor RAN strategy.
Nokia will act as Deutsche Telekom’s strategic co-creation partner for AI-native RAN development. Joint efforts will focus on AI-powered receivers, adaptive beamforming, predictive optimisation, and lab and field validation to support intelligent, autonomous mobile networks.
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Lawmakers in the European Parliament are pressing the European Commission for clarity after reports that Meta’s smart glasses recorded people in intimate moments without their knowledge.
Concerns intensified when Swedish outlets reported that Ray-Ban AI glasses captured and uploaded sensitive footage in violation of strict consent requirements under the EU’s General Data Protection Regulation.
The reports indicate that personal data from EU users was sent to Sama, a third-party contractor, in Kenya for human review. Annotators working there said they viewed images of individuals changing clothes and believed the recordings were taken without consent.
They added that Meta’s attempts to blur faces or apply other safeguards failed often enough to expose identifiable material instead of ensuring proper anonymisation.
EU privacy law requires clear information and consent before collecting and processing personal data, and additional safeguards when exporting data to countries without recognised adequacy status.
Kenya is still negotiating such recognition with the Commission, meaning contractual protections would be necessary.
The Irish Data Protection Commission, responsible for Meta’s GDPR oversight, has been contacted amid questions about whether Meta complied with EU requirements.
Lawmakers also want the Commission to examine whether proposed changes in the Digital Omnibus package could dilute privacy protections rather than strengthen them.
Critics argue the reforms might ease data-use rules for AI training at a moment when allegations about Meta’s smart glasses have intensified scrutiny of the EU’s broader digital policy agenda.
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Research suggests that being polite to AI chatbots such as ChatGPT does not reliably improve accuracy, despite widespread belief to the contrary. Experiments testing flattery, encouragement and even insults found inconsistent results across different large language models.
Experts in the US say many prominent engineering myths have faded as AI systems have improved. Minor wording changes, such as adding ‘please’ or ‘thank you’, are unlikely to influence mainstream generative AI tools consistently.
Computer scientists argue that users should treat AI as a tool rather than a person. Techniques that do work include asking for multiple options, providing concrete examples and requesting step-by-step clarification before generating a final response.
Researchers also warn that role playing can reduce accuracy when a question has one correct answer, potentially increasing hallucinations. For creative tasks, however, role play and iterative questioning can still be effective when used carefully.
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China’s DeepSeek is reportedly preparing to release its latest AI model, according to a Financial Times report. The planned debut of the company’s V4 large language model is seen as another test of China’s ability to compete with leading US AI firms.
Sources cited by the report said V4 will be a multimodal model capable of generating images, video, and text. DeepSeek has reportedly worked with Huawei and Cambricon to optimise the model for Chinese AI chips.
The release is expected ahead of the annual Two Sessions parliamentary meetings in China, which begin on 4 March. Analysts say the timing could reinforce DeepSeek’s positioning as a national AI champion.
The launch would be the company’s first major model release since its R1 reasoning system debuted in January last year. DeepSeek claimed R1 matched leading US models while using less computing power, a development some compared to a ‘Sputnik moment’ for American technology firms.
Separately, AI researcher Andrew Ng said the industry remains decades away from achieving artificial general intelligence (AGI). He argued that systems capable of matching human intellectual breadth remain distant, despite steady advances in model performance.
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App Store charts have shifted sharply in the consumer AI market, with Anthropic’s Claude now surpassing ChatGPT in downloads. The change marks one of the most notable ranking reversals in recent months.
The spike in downloads appears tied to public reaction rather than new product features. App rankings often fluctuate, but this shift coincides with growing debate over how AI companies collaborate with governments.
Anthropic has positioned Claude around strict usage policies, including restrictions on domestic surveillance and lethal autonomous weapons. That stance has resonated with users concerned about the ethical deployment of AI technologies.
Claude’s ascent underscores a more competitive chatbot landscape in which transparency and public confidence are playing an increasingly important role. AI app rankings are becoming increasingly volatile as users are willing to switch platforms.
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