Capacity development

Survey finds developers value AI for ideas, not final answers

As AI becomes more integrated into developer workflows, a new report shows that trust in AI-generated results erodes. According to Stack Overflow’s 2025 Developer Survey, the use of AI has increased to 84%, up from 76% last year. However, trust in its output has dropped, especially among experienced professionals.

The survey found that 46% of developers now lack trust in AI-generated answers.

That figure marks a sharp increase from 31% in 2024, suggesting growing scepticism despite higher adoption. By contrast, only 3.1% of developers trust AI responses.

Interestingly, trust varies with experience. Beginners were twice as likely to express high confidence in AI, with 6.1% reporting strong trust, compared with just 2.5% among seasoned developers. The results indicate a divide in how AI is perceived across the developer landscape.

Despite doubts, developers continue to use AI tools across various tasks. The vast majority – 78.5% – use AI on an infrequent basis, such as once a month. The pattern holds across experience levels, suggesting cautious and situational usage.

While trust is lacking, developers still see AI as a helpful starting point. Three in five respondents reported favourable views of AI tools overall. One in five viewed them negatively, with the remaining 20% remaining neutral.

However, that usefulness has limits. Developers were quick to seek human input when unsure about AI responses. Seventy-five percent said they would ask someone when they didn’t trust an AI-generated answer. Fifty-eight percent preferred human advice when they didn’t fully understand a solution.

Ethics and security were also areas where developers preferred human judgement. Again, 58% reported turning to colleagues or mentors to evaluate such risks. Such cases show a continued reliance on human expertise in high-stakes decisions.

Stack Overflow CEO Prashanth Chandrasekar acknowledged the limitations of AI in the development process. ‘AI is a powerful tool, but it has significant risks of misinformation or can lack complexity or relevance,’ he said. He added that AI best uses a ‘trusted human intelligence layer’.

The data also revealed that developers may not trust AI entirely but use it to support learning.

Forty-four percent of respondents admitted using AI tools to learn how to code, up from 37% last year.

A further 36% use it for work-related growth or career advancement.

The results highlight the role of AI as an educational companion rather than a coding authority.

It can help users understand concepts or generate basic examples, but most still want human review.

That distinction matters as teams consider how to integrate AI into production workflows.

Some developers are concerned that overreliance on AI could reduce the depth of their problem-solving skills. Others worry about hallucinations — AI-generated content that appears accurate but is misleading or incorrect. Such risks have led to a cautious, layered approach to using AI tools in real-life projects.

Stack Overflow’s findings align with broader AI adoption and trust industry trends. Tech firms are exploring ways to integrate AI safely, but many prioritise transparency and human oversight. Chandrasekar believes developers are uniquely positioned to help shape AI’s future revolution.

‘By providing a trusted human intelligence layer in the age of AI, we believe the tech enthusiasts of today can play a larger role in adding value,’ he said. ‘They’ll help build the AI technologies and products of tomorrow.’

As AI continues to expand into software development, one thing is clear: trust matters. Developers are open to using AI – but only when it supports, rather than replaces, human judgement. The challenge now is building systems that earn and maintain that trust.

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UAE partnership boosts NeOnc’s clinical trial programme

Biotech firm NeOnc Technologies has gained rapid attention after going public in March 2025 and joining the Russell Microcap Index just months later. The company focuses on intranasal drug delivery for brain cancer, allowing patients to administer treatment at home and bypass the blood-brain barrier.

NeOnc’s lead treatment is in Phase 2A trials for glioblastoma patients and is already showing extended survival times with minimal side effects. Backed by a partnership with USC’s Keck Medical School, the company is also expanding clinical trials to the Middle East and North Africa under US FDA standards.

A $50 million investment deal with a UAE-based firm is helping fund this expansion, including trials run by Cleveland Clinic through a regional partnership. The trials are expected to be fully enrolled by September, with positive preliminary data already being reported.

AI and quantum computing are central to NeOnc’s strategy, particularly in reducing risk and cost in trial design and drug development. As a pre-revenue biotech, the company is betting that innovation and global collaboration will carry it to the next stage of growth.

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Google backs EU AI Code but warns against slowing innovation

Google has confirmed it will sign the European Union’s General Purpose AI Code of Practice, joining other companies, including major US model developers.

The tech giant hopes the Code will support access to safe and advanced AI tools across Europe, where rapid adoption could add up to €1.4 trillion annually to the continent’s economy by 2034.

Kent Walker, Google and Alphabet’s President of Global Affairs, said the final Code better aligns with Europe’s economic ambitions than earlier drafts, noting that Google had submitted feedback during its development.

However, he warned that parts of the Code and the broader AI Act might hinder innovation by introducing rules that stray from EU copyright law, slow product approvals or risk revealing trade secrets.

Walker explained that such requirements could restrict Europe’s ability to compete globally in AI. He highlighted the need to balance regulation with the flexibility required to keep pace with technological advances.

Google stated it will work closely with the EU’s new AI Office to help shape a proportionate, future-facing approach.

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India uses AI to catch crypto tax evaders

India’s Income Tax Department is using AI and data tools to identify tax evasion in cryptocurrency transactions. The government collected ₹437 crore in crypto taxes in 2022-2023 using machine learning and digital forensics to spot suspicious activity.

Tax authorities match deducted at source (TDS) data from crypto exchanges to improve compliance. The introduction of the Crypto-Asset Reporting Framework (CARF) also enables automated sharing of tax information, aligning India’s efforts with international tax agreements.

These moves mark a push for greater transparency in India’s digital asset market. Enhanced wallet visibility and automatic data exchange aim to reduce anonymity and curb tax evasion in the crypto space.

India continues to develop regulations focused on consumer protection, cross-border cooperation, and tax compliance, demonstrating a commitment to a more traceable and accountable crypto industry.

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Microsoft adds AI Copilot Mode to Edge browser

Microsoft has launched Copilot Mode in its Edge browser, adding AI features to streamline online activity.

Instead of switching between tabs or manually comparing information, users can ask Copilot to complete tasks, search for content, and make suggestions. The tool is available for PC and Mac users and opens in a side panel, letting people interact with it while still viewing the original page.

Copilot can help with everyday tasks such as writing content, preparing grocery lists, and scheduling appointments. It works across multiple tabs if the user permits, enabling comparisons like hotel or flight prices in a single command.

Voice input is also supported, making it easier for those with limited mobility or less familiarity with AI tools to interact naturally.

Microsoft notes that Copilot Mode remains experimental, but users can still set it as the default. It supports conversational prompts, dynamic interactions like turning recipes vegan, and even measurements or language translations, all without losing browser position.

Users may eventually provide login or history access for more advanced tasks, although full consent and clear notifications will be required.

With growing reliance on digital assistants, Microsoft’s move puts Edge in direct competition with other AI-enabled browsers. As more AI tools become embedded in everyday software, the company expects Copilot to evolve rapidly and suggest next steps to help users pick up where they left off.

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Ray-Ban Meta leads smart glasses market growth

Sales of the Ray-Ban Meta smart glasses have more than tripled in the first half of 2025, cementing Meta’s dominance in the growing AI wearables market.

While Apple remains quiet on a possible launch of its own AI glasses, Meta and its partner EssilorLuxottica continue to expand their lead. The eyewear giant revealed a 200% rise in Ray-Ban Meta sales, with second-quarter revenue up by over 7% compared to last year.

Smart glasses still represent a small part of both companies’ revenue, yet expectations are rising fast. In June, the firms announced a new model – Oakley AI performance glasses – which they hope will match the success of the Ray-Ban line.

Francesco Milleri, EssilorLuxottica’s CEO, stated they expect a ‘very fast ramp-up’ of the Oakley Meta model.

Meta’s Ray-Ban glasses have been on the market for nearly two years, but recent updates have added live translation features and visual recognition that allows the glasses to interpret scenes in real time.

A version with an integrated display is rumoured to launch later in 2025, and Meta is also developing a high-end model called Orion.

Apple, meanwhile, appears more focused on mixed reality, with reports of a second-generation Vision Pro and Samsung’s Project Moohan, which may follow a similar route. But in the space of everyday wearable AI, Meta currently stands alone—at least until the competition decides to enter the arena.

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Chrome update brings AI shopping summaries to US users

Google has updated its Chrome browser to include AI-generated summaries of online stores, aimed at helping shoppers in the US make more informed buying decisions.

Instead of manually searching through reviews, users can now click an icon next to the web address to see a summary of a shop’s performance across key areas like product quality, pricing, returns, and customer service.

The feature is currently available only in English and is limited to desktop users.

The summaries are generated from a range of trusted review platforms, including Trustpilot, Bazaarvoice, Bizrate Insights, and others. Google says that the tool will offer a more efficient and secure online shopping experience.

It also helps the tech giant better compete with Amazon, which has already rolled out AI tools for product comparisons, fit suggestions, and ratings analysis. The move forms part of Google’s wider push to turn Chrome into a more powerful e-commerce assistant.

The company is also integrating AI tools like the Gemini assistant and developing agentic AI systems that can carry out tasks in the browser on a user’s behalf.

At the same time, Chrome faces fresh competition from AI-first browsers such as Perplexity’s Comet, Opera Neon, and a possible entry from OpenAI.

By adding AI-powered features directly into Chrome, Google hopes to future-proof its browser while strengthening its position in online retail.

As rivals begin to build intelligent browsers from the ground up, Google is reimagining how Chrome can serve users beyond simple search and browsing.

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Tech giants back Trump’s AI deregulation plan amid public concern over societal impacts

Donald Trump recently hosted an AI summit in Washington, titled ‘Winning the AI Race,’ geared towards a deregulated atmosphere for AI innovation. Key figures from the tech industry, including Nvidia’s CEO Jensen Huang and Palantir’s CTO Shyam Sankar, attended the event.

Co-hosted by the Hill and Valley Forum and the Silicon Valley All-in Podcast, the summit was a platform for Trump to introduce his ‘AI Action Plan‘, comprised of three executive orders focusing on deregulation. Trump’s objective is to dismantle regulatory restrictions he perceives as obstacles to innovation, aiming to re-establish the US as a leader in AI exportation globally.

The executive orders announced target the elimination of ‘ideological dogmas such as diversity, equity, and inclusion (DEI)’ in AI models developed by federally funded companies. Additionally, one order promotes exporting US-developed AI technologies internationally, while another seeks to lessen environmental restrictions and speed up approvals for energy-intensive data centres.

These measures are seen as reversing the Biden administration’s policies, which stressed the importance of safety and security in AI development. Technology giants Apple, Meta, Amazon, and Alphabet have shown significant support for Trump’s initiatives, contributing to his inauguration fund and engaging with him at his Mar-a-Lago estate. Leaders like OpenAI’s Sam Altman and Nvidia’s Jensen Huang have also pledged substantial investments in US AI infrastructure.

Despite this backing, over 100 groups, including labour, environmental, civil rights, and academic organisations, have voiced their opposition through a ‘People’s AI action plan’. These groups warn of the potential risks of unregulated AI, which they fear could undermine civil liberties, equality, and environmental safeguards.

They argue that public welfare should not be compromised for corporate gains, highlighting the dangers of allowing tech giants to dominate policy-making. That discourse illustrates the divide between industry aspirations and societal consequences.

The tech industry’s influence on AI legislation through lobbying is noteworthy, with a report from Issue One indicating that eight of the largest tech companies spent a collective $36 million on lobbying in 2025 alone. Meta led with $13.8 million, employing 86 lobbyists, while Nvidia and OpenAI saw significant increases in their expenditure compared to previous years. The substantial financial outlay reflects the industry’s vested interest in shaping regulatory frameworks to favour business interests, igniting a debate over the ethical responsibilities of unchecked AI progress.

As tech companies and pro-business entities laud Trump’s deregulation efforts, concerns persist over the societal impacts of such policies.

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China issues action plan for global AI governance and proposes global AI cooperation organisation

At the 2025 World AI Conference in Shanghai, Chinese Premier Li Qiang urged the international community to prioritise joint efforts in governing AI, making reference to a need to establish a global framework and set of rules widely accepted by the global community. He unveiled a proposal by the Chinese government to create a global AI cooperation organisation to foster international collaboration, innovation, and inclusivity in AI across nations.

‘China attaches great importance to global AI governance, and has been actively promoting multilateral and bilateral cooperation with a willingness to offer more Chinese solutions‘.

An Action Plan for AI Global Governance was also presented at the conference. The plan outlines, in its introduction, a call for ‘all stakeholders to take concrete and effective actions based on the principles of serving the public good, respecting sovereignty, development orientation, safety and controllability, equity and inclusiveness, and openness and cooperation, to jointly advance the global development and governance of AI’.

The document includes 13 points related to key areas of international AI cooperation, including promoting inclusive infrastructure development, fostering open innovation ecosystems, ensuring high-quality data supply, and advancing sustainability through green AI practices. It also calls for consensus-building around technical standards, advancing international cooperation on AI safety governance, and supporting countries – especially those in the Global South – in ‘developing AI technologies and services suited to their national conditions’.

Notably, the plan indicates China’s support for multilateralism when it comes to the governance of AI, calling for an active implementation of commitments made by UN member states in the Pact for the Future and the Global Digital Compact, and expressing support for the establishment of the International AI Scientific Panel and a Global Dialogue on AI Governance (whose terms of reference are currently negotiated by UN member states in New York).

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UBTech’s Walker S2 marks a leap towards uninterrupted robotic work

The paradigm of robotic autonomy is undergoing a profound transformation with the advent of UBTech’s new humanoid, the Walker S2. Traditionally, robots have been tethered to human assistance for power, requiring manual plugging in or lengthy recharges.

UBTech, a pioneering robotics company, is now dismantling these limitations with a groundbreaking feature in the Walker S2: the ability to swap its battery autonomously. The innovation promises to reshape the landscape of factory work and potentially many other industries, enabling near-continuous, 24/7 operation without human intervention.

The core of this advancement lies in the Walker S2’s sophisticated self-charging mechanism. When a battery begins to deplete, the robot does not power down. Instead, it intelligently navigates to a strategically placed battery swap station.

Once positioned, the robot executes a precise sequence of movements: it twists its torso, deploys built-in tools on its arms to unfasten and remove the drained battery from its back cavity, places it into an empty bay on the swap station, and then expertly retrieves a fresh, fully charged module.

The new battery is then securely plugged into one of its dual battery bays. The process is remarkably swift, taking approximately three minutes, allowing the robot to return to its tasks almost immediately.

The hot-swappable system mirrors the convenience of advanced electric vehicle technology, but its application to humanoid robotics unlocks unprecedented operational efficiency. Standing at 5 feet, 3 inches (approximately 160 cm) tall and weighing 95 pounds (about 43 kg), the Walker S2 is designed to integrate seamlessly into environments built for humans.

It has two 48-volt lithium batteries, ensuring a continuous power supply during the brief swapping procedure. While one battery powers the robot’s ongoing operations, the other can be exchanged.

Each battery provides approximately two hours of operation while walking or up to four hours when the robot stands still and performs tasks. The battery swap stations are not merely power hubs; they also meticulously monitor the health of each battery.

Should a battery show signs of degradation, a technician can be alerted to a timely replacement, further optimising the robot’s longevity and performance.

UBTech claims the Walker S2 is not a mere laboratory prototype but a robust solution engineered for real-world industrial deployment. Extensive testing has been conducted in the highly demanding environments of car factories operated by major Chinese electric vehicle manufacturers, including BYD, Nio, and Zeekr.

The trials validate the robot’s ability to operate effectively in dynamic production lines. The Walker S2 incorporates advanced vision systems, allowing it to detect battery levels and identify fully charged units, indicated by a green light on the stacked battery packs.

The robot autonomously reads the visual cues, ensuring precise selection and connection via a simple USB-style connector. Furthermore, the robot features a display face, enabling it to communicate its operational status to human workers, fostering a collaborative and transparent work environment. For safety, a prominent emergency stop button is also integrated.

China’s strategic investment in robotics is a driving force behind such innovations. Shenzhen, UBTech’s home base, is a thriving hub for robotics, boasting over 1,600 companies in the sector.

The nation’s broader push towards automation, part of its ‘Made in China 2025’ strategy, is a clear statement of global competitiveness, with China betting on AI and robotics to spearhead the next manufacturing era.

The coordinated industrial policy has led to China becoming the world’s largest market for industrial robots and a significant innovator in the field. The implications of robots like the Walker S2, built for non-stop operation, extend far beyond traditional factory floors.

Their ability to manage physical tasks continuously could redefine work in various sectors. Industries such as logistics, with vast warehouses requiring constant material handling, or airports, where baggage and cargo movement is ceaseless, benefit immensely.

Hospitals could also see these humanoids assisting with logistical duties, allowing human staff to concentrate on direct patient care. For businesses, the promise of 24/7 automation translates directly into increased output without additional human resources, ensuring operations move seamlessly day and night.

The Walker S2 exemplifies how advanced automation rapidly moves beyond research labs into practical, demanding workplaces. With its autonomous battery-swapping capability, humanoid robots are poised to work extended hours that far exceed human capacity.

The robots do not require coffee breaks or need sleep; they are designed for relentless productivity, marking a significant step towards a future where machines play an even more integral role in daily industrial and societal functions.

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