Digital business models

Google launches small AI model for mobiles and IoT

Google has released Gemma 3 270M, an open-source AI model with 270 million parameters designed to run efficiently on smartphones and Internet of Things devices.

Drawing on technology from the larger Gemini family, it focuses on portability, low energy use and quick fine-tuning, enabling developers to create AI tools that work on everyday hardware instead of relying on high-end servers.

The model supports instruction-following and text structuring with a 256,000-token vocabulary, offering scope for natural language processing and on-device personalisation.

Its design includes quantisation-aware training to work in low-precision formats such as INT4, reducing memory use and improving speed on mobile processors instead of requiring extensive computational power.

Industry commentators note that the model could help meet demand for efficient AI in edge computing, with applications in healthcare wearables and autonomous IoT systems. Keeping processing on-device also supports privacy and reduces dependence on cloud infrastructure.

Google highlights the environmental benefits of the model, pointing to reduced carbon impact and greater accessibility for smaller firms and independent developers. While safeguards like ShieldGemma aim to limit risks, experts say careful use will still be needed to avoid misuse.

Future developments may bring new features, including multimodal capabilities, as part of Google’s strategy to blend open and proprietary AI within hybrid systems.

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Cohere secures $500m funding to expand secure enterprise AI

Cohere has secured $500 million in new funding, lifting its valuation to $6.8 billion and reinforcing its position as a secure, enterprise-grade AI specialist.

The Toronto-based firm, which develops large language models tailored for business use, attracted backing from AMD, Nvidia, Salesforce, and other investors.

Its flagship multilingual model, Aya 23, supports 23 languages and is designed to help companies adopt AI without the risks linked to open-source tools, reflecting growing demand for privacy-conscious, compliant solutions.

The round marks renewed support from chipmakers AMD and Nvidia, who had previously invested in the company.

Salesforce Ventures’ involvement hints at potential integration with enterprise software platforms, while other backers include Radical Ventures, Inovia Capital, PSP Investments, and the Healthcare of Ontario Pension Plan.

The company has also strengthened its leadership, appointing former Meta AI research head Joelle Pineau as Chief AI Scientist, Instagram co-founder Mike Krieger as Chief Product Officer, and ex-Uber executive Saroop Bharwani as Chief Technology Officer for Applied R&D.

Cohere intends to use the funding to advance agentic AI, systems capable of performing tasks autonomously, while focusing on security and ethical development.

With over $1.5 billion raised since its 2019 founding, the company targets adoption in regulated sectors such as healthcare and finance.

The investment comes amid a broader surge in AI spending, with industry leaders betting that secure, customisable AI will become essential for enterprise operations.

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Tokenised stocks bring limited benefits and high risks

The cryptocurrency sector has promoted tokenised stocks, allowing shares to be traded via blockchain. While fractional ownership and 24/7 trading are possible, most brokers already offer commission-free fractional shares, limiting the benefits for individual investors.

Tokenised stocks require a custodian to hold the underlying asset, a digital token representing the share, and smart contracts granting rights such as dividends and voting. Platforms like Kraken and Robinhood now offer tokenised trading, while asset managers like BlackRock explore tokenised funds.

Proponents cite transparency, security, and direct access to companies as advantages.

Risks remain significant. Transactions may be irrevocable, and uncertain legal protections, and smart contracts cannot cover all scenarios. Experts warn that tokenisation may bypass securities laws, risking market trust and investor protections.

Many analysts suggest the crypto industry’s push for tokenisation is driven more by a desire to integrate with traditional finance and attract institutional capital than by benefits to retail investors. Advantages are limited while risks, including regulatory uncertainty and potential fraud, are substantial.

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State-controlled messaging alters crypto usage in Russia

The Russian government limits secure calls on WhatsApp and Telegram, citing terrorism and fraud concerns. The measures aim to push users toward state-controlled platforms like MAX, raising privacy concerns.

With over 100 million users relying on encrypted messaging, these restrictions threaten the anonymity essential for cryptocurrency transactions. Government-monitored channels may let authorities track crypto transactions, deterring users and businesses from adopting digital currencies.

State-backed messaging platforms also open the door to regulatory oversight, complicating private crypto exchanges and noncustodial wallets.

In response, fintech startups and SMEs may turn to decentralised applications and privacy-focused tools, including zero-knowledge proofs, to maintain secure communication and financial operations.

The clampdown could boost crypto payroll adoption in Russia, reducing costs and shielding firms from economic instability. Using decentralised finance tools in alternative channels allows companies to protect privacy and support cross-border payments and remote work.

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New framework planned for crypto asset flows in South Africa

South Africa is preparing a new regulatory framework for cross-border cryptocurrency transactions, according to Finance Minister Enoch Godongwana. The South African Reserve Bank will release the framework this year, focusing on cross-border crypto asset transfers.

The move comes after a High Court ruling left cryptocurrencies exempt from exchange control regulations. Instead of a broad exemption framework for exchanges, authorities aim to regulate the activities of crypto asset service providers involved in moving value across borders.

The framework will set conditions, administrative duties, and reporting requirements to curb illicit flows and prevent regulatory loopholes.

SARB works closely with the National Treasury, the Financial Sector Conduct Authority, and other financial bodies to finalise the rules.

Officials say the goal is to align South Africa’s exchange control laws with the realities of the digital asset market while addressing the risks identified by the Intergovernmental Fintech Working Group.

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DeepSeek delays next AI model amid Huawei chip challenges

Chinese AI company DeepSeek has postponed the launch of its R2 model after repeated technical problems using Huawei’s Ascend processors for training. The delay highlights Beijing’s ongoing struggle to replace US-made chips with domestic alternatives.

Authorities had encouraged DeepSeek to shift from Nvidia hardware to Huawei’s chips after the release of its R1 model in January. However, training failures, slower inter-chip connections, stability issues, and weaker software performance led the start-up to revert to Nvidia chips for training, while continuing to explore Ascend for inference tasks.

Despite Huawei deploying engineers to assist on-site, DeepSeek was unable to complete a successful training run using Ascend processors. The company is also contending with extended data-labelling timelines for its updated model, adding to the delays.

The situation underscores how far Chinese chip technology lags behind Nvidia for advanced AI development, even as Beijing pressures domestic firms to use local products. Industry observers say Huawei is facing “growing pains” but could close the gap over time. Meanwhile, competitors like Alibaba’s Qwen3 have integrated elements of DeepSeek’s design more efficiently, intensifying market pressure.

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Bluesky updates rules and invites user feedback ahead of October rollout

Two years after launch, Bluesky is revising its Community Guidelines and other policies, inviting users to comment on the proposed changes before they take effect on 15 October 2025.

The updates are designed to improve clarity, outline safety procedures in more detail, and meet the requirements of new global regulations such as the UK’s Online Safety Act, the EU’s Digital Services Act, and the US’s TAKE IT DOWN Act.

Some changes aim to shape the platform’s tone by encouraging respectful and authentic interactions, while allowing space for journalism, satire, and parody.

The revised guidelines are organised under four principles: Safety First, Respect Others, Be Authentic, and Follow the Rules. They prohibit promoting violence, illegal activity, self-harm, and sexualised depictions of minors, as well as harmful practices like doxxing and non-consensual data-sharing.

Bluesky says it will provide a more detailed appeals process, including an ‘informal dispute resolution’ step, and in some cases will allow court action instead of arbitration.

The platform has also addressed nuanced issues such as deepfakes, hate speech, and harassment, while acknowledging past challenges in moderation and community relations.

Alongside the guidelines, Bluesky has updated its Privacy Policy and Copyright Policy to comply with international laws on data rights, transfer, deletion, takedown procedures and transparency reporting.

These changes will take effect on 15 September 2025 without a public feedback period.

The company’s approach contrasts with larger social networks by introducing direct user communication for disputes, though it still faces the challenge of balancing open dialogue with consistent enforcement.

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M&S grapples with lingering IT fallout from cyberattack

Marks & Spencer is still grappling with the after-effects of the cyberattack experienced during the Easter bank holiday weekend in April.

While customer-facing services, including click and collect, have been restored, internal systems used by buying and merchandising teams remain affected, hampering smooth operations.

The attack, which disabled contactless payments and forced the temporary shutdown of online orders, has had severe financial consequences. M&S estimates a hit to group operating profits of approximately £300 million, though mitigation is expected through insurance and cost controls.

While the rest of its e-commerce operations have largely resumed, lingering technical problems within internal systems continue to disrupt critical back-office functions.

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Apple plans Siri upgrade with AI robots and smart displays

A tabletop robot, expected by 2027, could follow users around with a moving display and an animated voice assistant. Apple previewed this concept in research earlier this year, showing a dancing robot mimicking user movement.

Siri may soon take on a more visual, animated form, allowing natural conversations similar to ChatGPT’s voice mode. Apple is testing designs based on Memoji and the Finder icon.

A new smart home display will likely launch in 2026, featuring facial recognition and shared user access. Its design reportedly resembles Google’s Nest Hub.

Apple is also developing a range of home security products, including cameras and other devices, forming a new innovative ecosystem.

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ChatGPT gets local pricing in India

OpenAI has introduced local pricing for ChatGPT in India, allowing users to pay in rupees instead of US dollars. The shift follows the release of GPT-5, which supports 12 Indian languages and offers improved relevance for local users.

India is now the second-largest ChatGPT market outside the US. The Plus plan now costs $24 per month, while the Pro and Team plans are priced at $240 and $25 per seat, respectively.

OpenAI is also expected to launch a lower-cost option called ChatGPT Go, potentially priced at $5 to appeal to casual users. Competitors like Google and Perplexity AI have also responded by offering free access to students and telecom customers to boost adoption.

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