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DeepSeek shifts towards commercial AI products with urgent hiring drive

Chinese AI startup DeepSeek is urgently hiring for product and design roles as it pivots from pure research towards commercialising its large language model technology.

A job notice posted on its official WeChat account called for candidates with experience in product management and visual design to work in Beijing and Hangzhou.

The hiring move reflects DeepSeek’s ambition to create the ‘next generation of intelligent product experience’ centred on its powerful open-source models, following the success of its low-cost R1 reasoning model.

Founded in 2023 by Liang Wenfeng, DeepSeek has quickly made a name for itself by challenging industry giants like OpenAI with affordable, high-performing models.

Its latest models, including the upgraded V3 and upcoming R2, have been praised for their strong reasoning and coding abilities, with open-source availability under the permissive MIT licence.

Major Chinese firms such as Tencent and Baidu have already integrated DeepSeek’s technology into their platforms, boosting its reputation as a major force in China’s AI race.

The rush to recruit product and operational leaders mirrors a wider industry trend as AI firms recognise the critical role of product managers in translating technological breakthroughs into real-world applications.

DeepSeek’s founder has made it clear that creativity and passion outweigh traditional experience in the company’s hiring priorities.

As the global AI industry continues to evolve, DeepSeek’s bold shift from research to product development signals a maturing market with fierce competition on both sides of the Pacific.

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AI educational race between China and USA brings some hope

The AI race between China and the USA shifts to classrooms. As AI governance expert Jovan Kurbalija highlights in his analysis of global AI strategies, two countries see AI literacy as a ‘strategic imperative’. From President Trump’s executive order to advance AI education to China’s new AI education strategy, both superpowers are betting big on nurturing homegrown AI talent.

Kurbalija sees focus on AI education as a rare bright spot in increasingly fractured tech geopolitics: ‘When students in Shanghai debug code alongside peers in Silicon Valley via open-source platforms, they’re not just building algorithms—they’re building trust.’

This grassroots collaboration, he argues, could soften the edges of emerging AI nationalism and support new types of digital and AI diplomacy.

He concludes that the latest AI education initiatives are ‘not just about who wins the AI race but, even more importantly, how we prepare humanity for the forthcoming AI transformation and coexistence with advanced technologies.’

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Australian radio station caught using an AI DJ

Australian radio station CADA has caused a stir after it was revealed that DJ Thy, who had hosted a daily show for several months, was actually AI-generated.

Developed using ElevenLabs technology, Thy aired every weekday from 11am to 3pm, spinning popular tracks without listeners ever knowing they were hearing a machine instead of a real person.

Despite amassing over 72,000 listeners in March, the station never disclosed Thy’s true nature, which only came to light when a journalist, puzzled by the lack of personal information, investigated further.

Instead of being a complete novelty, AI DJs are becoming increasingly common across Australia. Melbourne’s Disrupt Radio has openly used AI DJ Debbie Disrupt, while in the US, a Portland radio station introduced AI Ashley, modelled after human host Ashley Elzinga.

CADA’s AI, based on a real ARN Media employee, suggests a growing trend where radio stations prefer digital clones instead of traditional hosts.

The show’s description implied that Thy could predict the next big musical hits, hinting that AI might be shaping, instead of simply following, public musical tastes. The programme promised that listeners would be among the first to hear rising stars, enabling them to impress their friends with early discoveries.

Meanwhile, elsewhere in the AI-music world, electro-pop artist Imogen Heap has partnered with AI start-up Jen.

Rather than licensing specific songs, artists working with Jen allow fans to tap into the ‘vibe’ of their music for new creations, effectively becoming part of a software product instead of just remaining musicians.

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Anthropic aims to decode AI ‘black box’ within two years​

Anthropic CEO Dario Amodei has unveiled an ambitious plan to make AI systems more transparent by 2027. In a recent essay titled ‘The Urgency of Interpretability,’ Amodei highlighted the pressing need to understand the inner workings of AI models.

He expressed concern over deploying highly autonomous systems without a clear grasp of their decision-making processes, deeming it ‘basically unacceptable’ for humanity to remain ignorant of how these systems function.

Anthropic is at the forefront of mechanistic interpretability, a field dedicated to deciphering the decision-making pathways of AI models. Despite these advancements, Amodei emphasized that much more research is needed to fully decode these complex systems.​

Looking ahead, Amodei envisions conducting ‘brain scans’ or ‘MRIs’ of advanced AI models to detect potential issues like tendencies to deceive or seek power. He believes that achieving this level of interpretability could take five to ten years but is essential for the safe deployment of future AI systems.

Amodei also called on industry peers, including OpenAI and Google DeepMind, to intensify their research efforts in this area and urged governments to implement ‘light-touch’ regulations to promote transparency and safety in AI development.​

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YouTube is testing AI-generated video highlights

Google is expanding its AI Overviews feature to YouTube, bringing algorithmically generated video highlights and search suggestions to the platform. Initially rolled out to a limited number of YouTube Premium users in the US, the experimental tool uses AI to identify and surface the most relevant clips.

The AI-generated results are currently focused on shopping and travel content, offering viewers a new way to discover videos and related topics without watching entire clips.

Google says the feature is designed to streamline content discovery, though it arrives with some scepticism following the rocky debut of AI Overviews in Google Search last year. That version, introduced in May 2024, was widely criticised for factual errors and bizarre “hallucinations” in responses.

Despite its troubled track record, Google is pushing ahead with AI integration across its platforms. The company’s blog post emphasised that the YouTube trial remains limited in scope for now, while promising future refinements.

Whether the move improves user experience or adds confusion remains to be seen, as critics question the reliability of AI-generated summaries on such a massive and diverse video platform.

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Alphabet surpasses expectations with strong Q1 performance and major buyback plan

Google’s parent company, Alphabet, announced a $70 billion share buyback after posting first-quarter profits that exceeded Wall Street forecasts. The company’s shares surged 4% after-hours trading, boosting its market value by around $75 billion. Alphabet reported $90.23 billion in revenue, mainly driven by steady growth in its core digital advertising business, which offset a slight slowdown in its cloud computing segment.

Despite concerns over economic uncertainty linked to US trade policies, Alphabet’s ad revenue, making up 75% of its total income, rose 8.5% to $66.89 billion, surpassing analyst expectations. CEO Sundar Pichai highlighted strong engagement in Google Search, particularly with AI-powered features, attracting 1.5 billion monthly users.

Meanwhile, Google Cloud saw a 28% revenue increase, narrowly missing projections but still reflecting solid growth. The tech giant also ramped up capital spending by 43% to $17.2 billion as part of its $75 billion annual investment plan, focusing on expanding data centres and AI infrastructure.

Despite rising costs and global competition in the AI sector, Pichai emphasised the need for heavy investment to enhance services like Search and develop AI tools. Alphabet’s positive results lifted other digital ad players, with Meta, Amazon, and Snap seeing gains in extended trading.

While Big Tech remains committed to AI spending, signs of caution emerge as some companies begin to scale back data centre expansions amid economic pressures.

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AI tool improves accuracy in detecting heart disease

A team of researchers at Mount Sinai Hospital in New York has successfully calibrated an AI tool to more accurately assess the likelihood of hypertrophic cardiomyopathy (HCM) in patients.

By assigning specific probability scores, the AI model now offers clearer guidance to clinicians and patients regarding disease risk.

HCM, a thickening of the heart muscle that affects around one in 200 people globally, can lead to serious complications such as heart failure or sudden cardiac death.

The Viz HCM algorithm, already approved by the US Food and Drug Administration, previously provided vague classifications like ‘suspected HCM.’ Thanks to model calibration, clinicians can now give patients more precise estimates—for instance, a 60% probability of having the condition.

Researchers ran the algorithm on nearly 71,000 patients who had undergone electrocardiograms between March 2023 and January 2024. Out of these, 1,522 were flagged by the AI, with further review of medical records and imaging confirming diagnoses.

The results validated that the newly calibrated probabilities closely reflected real-world outcomes, improving the tool’s accuracy and practical utility.

Experts say this advancement enhances clinical workflows by helping doctors prioritise patients based on their actual risk levels.

Beyond technological innovation, the study marks a step forward in integrating AI responsibly into everyday clinical practice—making healthcare more personalised, interpretable, and effective.

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AI investments lift Alphabet despite cloud slowdown

Alphabet’s shares climbed over 5% in premarket trading after the company reported strong earnings that reassured investors of its AI strategy.

Despite a slight deceleration in advertising and cloud growth, Google’s parent company beat expectations, signalling that its major bets on artificial intelligence are starting to pay off.

Advertising revenue, which forms the backbone of Alphabet’s business, rose 8.5% in the first quarter to $66.89 billion—outperforming analyst projections.

Although this marks a slowdown from the previous quarter’s growth, it reinforces investor confidence in Alphabet’s ability to monetise AI across its services. Meanwhile, Google Cloud revenue grew by 28%, falling just short of forecasts and indicating some cooling in the segment.

The company is pressing ahead with its ambitious infrastructure plans, reaffirming a $75 billion investment in expanding data centre capacity.

Alongside Microsoft’s even larger plans, these efforts contribute to Big Tech’s anticipated $320 billion AI investment in 2025. However, growing trade tensions and fears of an economic downturn have led to questions about the sustainability of such capital spending.

While Alphabet remains a key player in the AI race, legal challenges loom large. Ongoing antitrust actions in the United States could compel the company to divest core assets like Chrome, as regulators seek to limit Google’s market dominance.

Nevertheless, many analysts remain optimistic, with several brokerages raising their price targets, pointing to Alphabet’s ability to deliver GenAI-powered products at scale despite headwinds.

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Fibocom launches AI-powered 5G hotspot

Fibocom has introduced a next-generation 5G AI Mobile Hotspot, combining ultra-fast 5G connectivity with intelligent voice interaction features.

Designed to serve both individual users and business environments, the device marks a shift from conventional mobile hotspots to smart, AI-enabled communication hubs.

The hotspot is powered by a custom-built AI app that offers voice-activated multilingual control, allowing users to manage services hands-free.

With real-time content access and an AI translation engine supporting over 20 languages at up to 95% accuracy, the device is particularly suited to international settings, such as global meetings and travel.

Built on the Qualcomm QCM4490 platform, the device uses an 8-core 4nm CPU running up to 2.4 GHz. It supports behavioural analytics, dual SIM standby, USB 3.1 and Ethernet, and offers 15-W fast and reverse charging.

Compatible with both Android and Linux systems, it also accommodates external cameras and 1080P displays.

Incorporating Qualcomm’s advanced Wi-Fi 7 chipset, the hotspot supports concurrent dual-band modes, enabling download speeds up to BE5800.

With full 3GPP Release 16 compliance and support for Sub-6-GHz frequencies, it promises reliable, high-performance wireless access for long-term and future-ready use.

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Auto Shanghai 2025 showcases cutting-edge AI robots

At Auto Shanghai 2025, running from April 23 to May 2, nearly 1,000 companies from 26 countries showcase their innovations.

A major highlight of the event has been the introduction of AI humanoid robots.

Among the most talked-about innovations is Mornine Gen-1, an AI humanoid robot developed by Chinese automaker Chery.

Designed to resemble a young woman, Mornine is set for various roles, from auto sales consultation to retail guidance and entertainment performances.

Also drawing attention is AgiBot’s A2 interactive service robot. Serving as a ‘sales consultant,’ the A2’s smart, interactive features have made it a standout at the event.

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