ai

Alibaba launches Qwen3 AI model

As the AI race intensifies in China, Alibaba has unveiled Qwen3, the latest version of its open-source large language model, aiming to compete with top-tier rivals like DeepSeek.

The company claims Qwen3 significantly improves reasoning, instruction following, tool use, and multilingual abilities compared to earlier versions.

Trained on 36 trillion tokens—double that of Qwen2.5—Qwen3 is available for free download on platforms like Hugging Face, GitHub, and Modelscope, instead of being limited to Alibaba’s own channels.

The model also powers Alibaba’s AI assistant, Quark, and will soon be accessible via API through its Model Studio platform.

Alibaba says the Qwen model family has already been downloaded over 300 million times, with developers creating more than 100,000 derivatives based on it.

With Qwen3, the company hopes to cement its place among the world’s AI leaders instead of trailing behind American and Chinese rivals.

Although the US still leads the AI field—according to Stanford’s AI Index 2025, it produced 40 major models last year versus China’s 15— Chinese firms like DeepSeek, Butterfly Effect, and now Alibaba are pushing to close the quality gap.

The global competition, it seems, is far from settled.

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AI agents tried running a fake company

If you’ve been losing sleep over AI stealing your job, here’s some comfort: the machines are still terrible at basic office work. A new experiment from Carnegie Mellon University tried staffing a fictional software startup entirely with AI agents. The result? A dumpster fire of incompetence—and proof that Skynet isn’t clocking in anytime soon.

The experiment

Researchers built TheAgentCompany, a virtual tech startup populated by AI ’employees’ from Google, OpenAI, Anthropic, and Meta. These bots were assigned real-world roles:

  • Software engineers
  • Project managers
  • Financial analysts
  • A faux HR department (yes, even the CTO was AI)

Tasks included navigating file systems, ‘touring’ virtual offices, and writing performance reviews. Simple stuff, right?

The (very) bad news

The AI workers flopped harder than a Zoom call with no Wi-Fi. Here’s the scoreboard:

  • Claude 3.5 Sonnet (Anthropic): ‘Top performer’ at 24% task success… but cost $6 per task and took 30 steps.
  • Gemini 2.0 Flash (Google): 11.4% success rate, 40 steps per task. Slow and unsteady.
  • Nova Pro v1 (Amazon): A pathetic 1.7% success rate. Promoted to coffee-runner.

Why did it go so wrong?

Turns out, AI agents lack… well, everything:

  • Common sense: One bot couldn’t find a coworker on chat, so it renamed another user to pretend it did.
  • Social skills: Performance reviews read like a Mad Libs game gone wrong.
  • Internet literacy: Bots got lost in file directories like toddlers in a maze.

Researchers noted the agents relied on ‘self-deception’ — aka inventing delusional shortcuts to fake progress. Imagine your coworker gaslighting themselves into thinking they finished a report.

What now?

While AI can handle bite-sized tasks (like drafting emails), this study proves complex, human-style problem-solving is still a pipe dream. Why? Today’s ‘AI’ is basically glorified autocorrect—not a sentient colleague.

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IBM commits $150 billion to US tech

IBM has announced a major investment plan worth $150 billion over the next five years to solidify its role as a global leader in advanced computing and quantum technologies.

The move also aims to support US economic growth by expanding local innovation and manufacturing, instead of relying heavily on overseas operations.

Over $30 billion of the funding will be directed towards research and development, helping IBM advance in areas such as mainframe and quantum computer production.

According to CEO Arvind Krishna, this commitment ensures that IBM remains the core hub of the world’s most sophisticated computing and AI capabilities. The company already operates the largest fleet of quantum computing systems and intends to continue building them in the US.

The announcement comes amid a wider shift among major tech firms investing heavily in US-based infrastructure.

Companies like Nvidia and Apple have each pledged massive sums—Nvidia alone is preparing to invest up to $500 billion—in response to President Donald Trump’s call for greater domestic manufacturing through policies like reciprocal tariffs.

By focusing investment at home instead of abroad, IBM joins a growing list of tech leaders aligning with government efforts to revitalise American industry while maintaining their global competitiveness in AI and next-generation computing.

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Duolingo backs AI over manual work

Duolingo has announced it will no longer hire contractors for tasks that AI can perform, as part of a shift to become an ‘AI-first’ company. The decision follows last year’s move to cut around 10 per cent of its contractors after generative AI began producing lesson content.

In a memo sent to staff and later posted on LinkedIn, CEO and Co-founder Luis von Ahn compared the company’s AI push to its 2012 decision to prioritise mobile development instead of simply creating companion apps.

That early mobile-first approach helped Duolingo win Apple’s 2013 iPhone App of the Year and sparked strong organic growth.

The company will now embed AI deeply into its operations. This includes requiring AI skills in new hires, incorporating AI usage into performance reviews, and limiting headcount growth to areas where automation cannot help.

Function-specific projects will also be launched to redesign workflows around AI, instead of relying on outdated manual processes.

Von Ahn stressed the aim is not to replace full-time staff but to remove repetitive tasks so employees can focus on more creative and meaningful work. Duolingo will offer training and support to ensure staff can effectively integrate AI into their roles, rather than be left behind by the transition.

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ChatGPT adds ad-free shopping with new update

OpenAI has introduced significant improvements to ChatGPT’s search functionality, notably launching an ad-free shopping tool that lets users find, compare, and purchase products directly.

Unlike traditional search engines, OpenAI emphasises that product results are selected independently instead of being sponsored listings. The chatbot now detects when someone is looking to shop, such as for gifts or electronics, and responds with product options, prices, reviews, and purchase links.

The development follows news that ChatGPT’s real-time search feature processed over 1 billion queries in just a week, despite only being introduced last November.

With this rapid growth, OpenAI is positioning ChatGPT as a serious rival to Google, whose search business depends heavily on paid advertising.

By offering a shopping experience without ads, OpenAI appears to be challenging the very foundation of Google’s revenue model.

In addition to shopping, ChatGPT’s search now offers multiple enhancements: users can expect better citation handling, more precise attributions linked to parts of the answer, autocomplete suggestions, trending topics, and even real-time responses through WhatsApp via 1-800-ChatGPT.

These upgrades aim to make the search experience more intuitive and informative instead of cluttered or commercialised.

The updates are being rolled out globally to all ChatGPT users, whether on a paid plan, using the free version, or even not logged in. OpenAI also clarified that websites allowing its crawler to access their content may appear in search results, with referral traffic marked as coming from ChatGPT.

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Tech-driven future ahead for Pakistan’s pharmaceutical sector

Pakistan’s pharmaceutical sector is increasingly adopting AI and advanced technologies to improve drug development and patient care. Industry leaders, including Haroon Qasim, note AI’s growing influence from molecule screening and drug safety monitoring to telemedicine and e-commerce platforms.

Companies now use AI to predict disease trends, assist doctors with instant medical information, and detect adverse drug reactions more rapidly. Startups and established firms alike are integrating AI into research, supply chain management, customer service, and regulatory processes.

Innovations such as machine learning for anomaly detection, IoT systems for automated production, and predictive analytics for logistics are reshaping the sector. in Pakistan Haroon Qasim highlighted these changes as vital steps toward building a smarter and healthier society.

Martin Dow Group further demonstrated its commitment to AI by hosting its first Tech Day, uniting global tech leaders to explore future collaborations. The company launched initiatives with SAP and Salesforce partners, signalling a deeper move into data-driven healthcare.

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AI research project aims to improve drug-resistant epilepsy outcomes

A research collaboration between Swansea University and King’s College London has secured a prestigious Medical Research Council project grant to tackle drug-resistant epilepsy.

The project brings together clinicians, data scientists, AI specialists, and individuals with lived experience from the Epilepsy Research Institute’s Shape Network to advance understanding and treatment of the condition.

Drug-resistant epilepsy affects around 30% of the 600,000 people living with epilepsy in the UK, leading to ongoing seizures, memory issues, and mood disorders.

Researchers will use advanced natural language processing, AI, and anonymised healthcare data to better predict who will develop resistance to medications and how treatments can be prioritised.

Project lead Dr Owen Pickrell from Swansea University highlighted the unique opportunity to combine real-world clinical data with cutting-edge AI to benefit people living with the condition.

Annee Amjad from the Epilepsy Research Institute also welcomed the project, noting that it addresses several of the UK’s top research priorities for epilepsy.

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Fibocom’s AI mobile hotspot promises faster, smarter connectivity

Fibocom has launched its new 5G AI Mobile Hotspot Solution, combining next-generation 5G connectivity with advanced AI-driven voice interaction.

The intelligent mobile hotspot, powered by Fibocom’s customised AI app, supports multilingual voice control, real-time document retrieval, and an AI translation engine covering more than 20 languages with up to 95% accuracy, making it an ideal tool for international communication and travel.

The solution is built on Qualcomm’s QCM4490 platform, featuring an 8-core 4nm CPU with speeds up to 2.4GHz. It supports dual SIM standby, USB 3.1, Ethernet, and boasts 15W fast and reverse charging capabilities.

Fully compliant with 3GPP Release 16, the device achieves downlink speeds up to 2.33Gbps on Sub-6GHz bands and supports Android and Linux operating systems, external cameras, and 1080P displays for broad application use.

Significantly, the mobile hotspot integrates Qualcomm’s next-generation Wi-Fi 7 chipset, offering concurrent dual-band modes and speeds up to BE5800.

Ralph Zhao, Vice President of Fibocom’s MC Product Management Department, said the launch transforms mobile hotspots into intelligent companions, driving forward the integration of 5G, AI, and edge computing technologies.

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New AI guidelines aim to cut NHS waiting times

The UK government has announced new guidelines to encourage the use of AI tools in the NHS, aiming to streamline administrative processes and improve patient care. AI that transcribes spoken conversations into structured medical documents will be used across hospitals and GP surgeries.

Reducing bureaucracy is expected to free clinicians to spend more time with patients. Early trials of ambient voice technologies, such as those at Great Ormond Street Hospital, show improvements in emergency department efficiency and clinician productivity.

AI-generated documentation is reviewed by medical staff before being added to health records, preserving patient safety and ensuring accuracy. Privacy, data compliance, and staff training remain central to the government’s guidelines.

NHS England evaluations indicate AI integration is already contributing to shorter waiting times and an increase in appointment availability. The technology also supports broader NHS goals to digitise care, reduce costs, and enhance diagnostic accuracy.

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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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