WhatsApp trials AI-powered Writing Help for personalised messaging

WhatsApp is testing a new AI feature for iOS users that provides real-time writing assistance.

Known as ‘Writing Help’, the tool suggests alternative phrasings, adjusts tone, and enhances clarity, with all processing handled on-device to safeguard privacy.

The feature allows users to select professional, friendly, or concise tones before the AI generates suitable rewordings while keeping the original meaning. According to reports, the tool is available only to a small group of beta testers through TestFlight, with no confirmed release date.

WhatsApp says it uses Meta’s Private Processing technology to ensure sensitive data never leaves the device, mirroring privacy-first approaches like Apple’s Writing Tools.

Industry watchers suggest the new tool could give WhatsApp an edge over rivals such as Telegram and Signal, which have not yet introduced generative AI writing aids.

Analysts also see potential for integration with other Meta platforms, although challenges remain in ensuring accurate, unbiased results across different languages.

Writing Help could streamline business communication by improving grammar, structure, and tone accuracy if successful. While some users have praised its seamless integration, others warn that heavy reliance on AI could undermine authenticity in digital conversations.

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OpenAI softens GPT-5 tone after users complain it felt cold

OpenAI has updated GPT-5 to make its tone noticeably warmer and more engaging, without reverting to the overly flattering style some users criticised in GPT-4o. The change is rolling out, aiming to balance emotional resonance with substance.

CEO Sam Altman stated the adjustment directly responds to users finding GPT-5 too formal or robotic. The update is subtle yet visible, enhancing conversational warmth while avoiding sycophantic tendencies.

OpenAI also expands user control by offering three interaction modes, Auto, Fast, and Thinking, which adapt response style to user preference. These changes empower users to shape the tone and depth of their AI interactions.

Reacting to public frustration, OpenAI has reinstated GPT-4o (along with GPT-4.1, o3, and GPT-5 Thinking mini) for paid subscribers, while promising more customisation options in future updates.

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Nvidia prepares new AI chip for China amid Washington’s hesitation

As if Trump’s recent shifts in chip export policy regarding the scaled-down chip models were not enough to reopen supply to the Chinese market, after all the earlier tariffs and bans, Nvidia is now quietly developing a new AI chip for China, even as Washington continues to debate how much cutting-edge US technology Beijing should be allowed to access.

According to Nvidia’s latest statements, the chip, codenamed B30A, will be based on Nvidia’s latest Blackwell architecture and is expected to outperform the company’s current China-approved model, the H20.

Namely, the novelty comes just days after President Donald Trump weighed permitting scaled-down versions of Nvidia’s most advanced chips to be sold in China. His comments marked a potential shift in US policy, but the approval remains uncertain, with lawmakers in both parties warning that even weaker versions of top-end chips could still give Beijing an edge in the global AI race.

Technically, the B30A will be less potent than Nvidia’s flagship B300, but it retains advanced features such as high-bandwidth memory and NVLink connectivity, which are crucial for fast data processing.

Nvidia hopes to send early samples to Chinese customers next month, though final specifications have yet to be confirmed.

‘Everything we offer is with full government approval and designed for commercial use,’ the company said in a statement.

The stakes are high, as China accounted for 13% of Nvidia’s revenue last year, and losing that market could push customers toward domestic rivals like Huawei.

Analysts note that Huawei’s chips are improving, particularly in raw computing power, though they still lag in software support and memory performance, areas where Nvidia remains dominant.

At the same time, Beijing has been pushing back. Chinese experts recently raised concerns that Nvidia’s chips could pose security risks, and regulators have reportedly warned Chinese tech firms about buying the H20.

Nvidia denies any such vulnerabilities, but the warnings illustrate how political friction is weighing on commercial strategy.

Alongside the B30A, Nvidia is also preparing another chip, the RTX6000D, built for AI inference rather than training. That model has weaker specifications designed to comply with strict US export thresholds.

Nvidia plans to start shipping small batches of the RTX6000D to Chinese clients as early as September, which seems to indicate that the company is trying to balance Washington’s restrictions with the need to preserve its foothold in one of the world’s most lucrative AI markets.

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SoftBank invests $2 billion in Intel to boost US semiconductor industry

Japanese technology giant SoftBank has announced plans to buy a $2 billion stake in Intel, signalling a stronger push into the American semiconductor industry.

The investment comes as Washington debates greater government involvement in the sector, with reports suggesting President Donald Trump is weighing a US government stake in the chipmaker.

SoftBank will purchase Intel’s common stock at $23 per share. Its chairman, Masayoshi Son, said semiconductors remain the backbone of every industry and expressed confidence that advanced chip manufacturing will expand in the US, with Intel playing a central role.

The move follows SoftBank’s increasing investments in the US, including its role in the $500 billion ‘Stargate’ AI project announced earlier this year.

Once a dominant force in Silicon Valley, Intel has struggled against rivals such as Nvidia and AMD. Under new CEO Lip-Bu Tan, the company is cutting 15% of its workforce and reducing costs to stabilise operations.

After a private meeting, Trump recently criticised Tan’s leadership but later softened his stance.

Shares in both companies slipped following the announcement, with SoftBank down 2.2% in Tokyo and Intel falling 3.7% in New York.

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NSPRA warns AI must complement, not replace, human voices in education

A new report from the National School Public Relations Association (NSPRA) and ThoughtExchange highlights the growing role of AI in K-12 communications, offering detailed guidance for ethical integration and effective school engagement.

Drawing on insights from 200 professionals across 37 states, the study reveals how AI tools boost efficiency while underscoring the need for stronger policies, transparency, and ongoing training.

Barbara M Hunter, APR, NSPRA executive director, explained that AI can enhance communication work but will never replace strategy, human judgement, relationships, and authentic school voices.

Key findings show that 91 percent of respondents already use AI, yet most districts still lack clear policies or disclosure practices for employee use.

The report recommends strengthening AI education, accelerating policy development, expanding the scope to cover staff, and building proactive strategies supported by human oversight and trust.

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AfDB backs AI training to drive Africa’s Agenda 2063

The African Development Bank has strengthened Africa’s digital journey by backing a landmark AI training initiative linked to Agenda 2063. The effort aims to accelerate the continent’s long-term strategy, ‘The Africa We Want,’ by equipping states with practical expertise.

Through its Joint Secretariat Support Office, the Bank gave both technical and financial backing to the 5th Annual Training Workshop. The event focused on applying AI to monitoring, evaluation, and reporting under the Second Ten-Year Plan of Agenda 2063.

The Lusaka workshop, co-hosted by the African Union Commission and the African Capacity Building Foundation, featured sessions with Ailyse, ChatGPT, Google AI Studio, Google Gemini, and Perplexity. Delegates explored embedding AI insights into analytics for stronger policymaking and accountability.

By investing in institutional capacity, the AfDB and partners aim to advance AI-enabled solutions that improve policy interventions, resource allocation, and national priorities. The initiative reflects a broader effort to integrate digital tools into Africa’s governance structures.

The workshop also fostered peer learning, allowing delegates to share best practices in digital monitoring frameworks. By driving AI adoption in planning and results delivery, the AfDB underlines its role as a partner in Africa’s transformation.

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The First Descendant faces backlash over AI-generated streamer ads

Nexon’s new promotional ads for their looter-shooter The First Descendant have ignited controversy after featuring AI-generated avatars that closely mimic real content creators, one resembling streamer DanieltheDemon.

The ads, circulating primarily on TikTok, combine unnatural expressions with awkward speech patterns, triggering community outrage.

Fans on Reddit slammed the ads as ’embarrassing’ and akin to ‘cheap, lazy marketing,’ arguing that Nexon had bypassed genuine collaborators for synthetic substitutes, even though those weren’t subtle attempts.

Critics warned that these deepfake-like promotions undermine the trust and credibility of creators and raise ethical questions over likeness rights and authenticity in AI usage.

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Milky Way platform showcases Tredence’s vision for autonomous AI in business

Tredence has launched Milky Way, a multi-agent, multi-turn system that uses autonomous AI agents to accelerate enterprise decision-making. The platform introduces specialised agents that collaborate like digital co-workers, combining reasoning and execution to deliver outcomes at scale.

The system addresses a common challenge: converting enterprise data into timely and actionable insights. The Milky Way incorporates over 15 prebuilt agents across key business roles and more than 50 specialised agents trained on real-world enterprise scenarios.

Agents span critical functions, from marketing analysts optimising campaigns to supply chain analysts anticipating disruptions. Technical agents, such as anomaly detection and Text-to-SQL, complement them by handling operational complexity with accuracy and transparency.

Early trials have shown striking results, with companies reporting up to five times faster insights and 50% lower analytics costs. Global retailers cut manual effort by 60%, while healthcare providers streamlined patient data aggregation and triage, supporting speedier diagnosis.

Designed for enterprise-grade use, Milky Way integrates seamlessly with existing data systems, offering role-based access, full audit trails, and domain expertise. Tredence positions it as a step towards AI agents that deliver context-aware, scalable business outcomes.

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USTA debuts AI Match Chat at US Open with IBM

The United States Tennis Association has introduced AI-powered experiences at the US Open in partnership with IBM. Fans can now access Match Chat, an AI assistant answering player stat questions and offering interactive insights during the 254 singles matches.

The assistant is powered by IBM WatsonX Orchestrate technology, combining AI agents and language models trained on US Open data. The organisations have also enhanced IBM SlamTracker, which projects live win probabilities and provides AI-generated post-match commentary for deeper analysis.

According to Brian Ryerson of the USTA, between 13 and 15 million visitors are expected to use these platforms. He noted the association’s roadmap has focused on hybrid cloud and AI for fan engagement and to strengthen core operations.

Behind the scenes, the USTA is streamlining infrastructure management, optimising costs, and enhancing resilience with IBM’s AI tools. Its editorial team has increased content production by 300% using bespoke AI systems, starting with AI match summaries before refining them manually.

Globally, sports bodies are also adopting AI for fans and operations. The NFL and Wimbledon have launched similar tools, while USTA’s hybrid cloud infrastructure ensures the Open withstands surges up to 50 times normal load without disrupting fan experiences.

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Oracle opens access to Gemini AI models via its cloud infrastructure

Oracle has partnered strategically with Google Cloud to bring Gemini AI models, starting with Gemini 2.5, into its Oracle Cloud Infrastructure (OCI) Generative AI service.

Moving like this empowers enterprises to build AI agents tailored for multimodal understanding, software development, workflow automation and research.

The rollout extends beyond the initial model. Oracle plans to integrate the entire Gemini suite, including video, image, speech, and music generation, as well as vertically specialised models like MedLM for healthcare.

These will be accessible through Vertex AI and, in the future, embedded directly into Oracle Fusion Cloud Applications across finance, HR, supply chain, sales and customer service.

For customers, Oracle simplifies adoption: Gemini access is billed via Oracle Universal Credits, and no new contracts are required. Behind the scenes, OCI’s bare-metal GPU instances ensure optimised compute performance for demanding AI workflows.

This integration further strengthens Oracle’s position in enterprise AI, offering partners and clients a curated, model-agnostic environment that combines AI innovation with operational reliability.

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