Artificial intelligence

5G Advanced is now live nationwide with T-Mobile

T-Mobile has officially become the first network provider in the United States to offer nationwide 5G Advanced coverage. Built from the ground up with future-ready infrastructure, T-Mobile’s network is now fully equipped to deliver cutting-edge experiences, leaving competitors struggling to catch up.

The 5G Advanced rollout introduces a new era of technology, blending high-speed connectivity, lower latency, and AI-driven enhancements.

Users can expect seamless cloud gaming, immersive extended reality (XR) experiences, enhanced smart home integrations, and much more.

By integrating features from both Release 17 and Release 18 of the 3GPP global standards, T-Mobile has crafted a unique platform that boosts performance, energy efficiency, and innovation.

Through developments such as network slicing and Reduced Capability (RedCap) technology, T-Mobile enables highly consistent connections for specialised services and billions of new connected devices.

The network’s dynamic use of AI and machine learning is also setting a new benchmark, offering optimised resource management and improved responsiveness to real-time demands.

T-Mobile’s ambition does not stop with 5G Advanced. The company plans to build on these innovations, combining global standards with in-house solutions to drive the transition towards 6G and shape the future of wireless communication.

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Musk’s XAI eyes record-breaking $20 billion in funding

Elon Musk’s XAI Holdings is reportedly in discussions to secure up to $20 billion in funding. The fundraising effort, if successful, would be the second-largest of its kind, trailing only OpenAI’s record $40 billion round earlier this year.

A final amount has yet to be confirmed, with suggestions that the total could even exceed the initial target.

The funds could push XAI’s valuation to over $120 billion, significantly elevating its status in the tech sector. XAI Holdings includes Musk’s artificial intelligence company xAI and X, the social platform formerly known as Twitter.

In March, xAI officially acquired X in an all-stock transaction, valuing the companies at a combined $113 billion, with $12 billion in debt included.

Musk has stated that xAI and X will operate as a joint force, integrating AI capabilities, massive data access and wide distribution. The merged entity also acquired generative AI startup Hotshot, expanding its technology base.

A portion of the new funding may be allocated to servicing debt from Musk’s 2022 acquisition of Twitter, which has since amassed over $1.3 billion in annual interest payments.

Further funds could be channelled into developing Colossus 2, an AI supercomputer said to be equipped with one million NVIDIA GPUs. The system is estimated to cost between $35 billion and $40 billion and could be pivotal in advancing Musk’s AI ambitions.

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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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Deepfake victims gain new rights with House-approved bill

The US House of Representatives has passed the ‘Take It Down’ Act with overwhelming bipartisan support, aiming to protect Americans from the spread of deepfake and revenge pornography.

The bill, approved by a 409-2 vote, criminalises the distribution of non-consensual intimate imagery—including AI-generated content—and now heads to President Donald Trump for his signature.

First Lady Melania Trump, who returned to public advocacy earlier this year, played a key role in supporting the legislation. She lobbied lawmakers last month and celebrated the bill’s passage, saying she was honoured to help guide it through Congress.

The White House confirmed she will attend the signing ceremony.

The law requires social media platforms and similar websites to remove such harmful content upon request from victims, instead of allowing it to remain unchecked.

Victims of deepfake pornography have included both public figures such as Taylor Swift and Alexandria Ocasio-Cortez, and private individuals like high school students.

Introduced by Republican Senator Ted Cruz and backed by Democratic lawmakers including Amy Klobuchar and Madeleine Dean, the bill reflects growing concern across party lines about online abuse.

Melania Trump, echoing her earlier ‘Be Best’ initiative, stressed the need to ensure young people—especially girls—can navigate the internet safely instead of being left vulnerable to digital exploitation.

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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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Huawei develops Ascend 910D chip to rival Nvidia

Huawei Technologies is preparing to test its newest AI processor, the Ascend 910D, as it seeks to offer an alternative to Nvidia’s products following US export restrictions. The company has approached several Chinese tech firms to assess the technical feasibility of the new chip.

Extensive testing will follow to ensure the chip’s performance before it reaches the wider market. Sources claim Huawei aims for the Ascend 910D to outperform Nvidia’s H100 chip, widely used for AI training since 2022.

Huawei is already shipping large volumes of its earlier Ascend 910B and 910C models to state-owned carriers and private AI developers like ByteDance. Demand for these processors has risen as US restrictions tightened Nvidia’s ability to sell its H20 chip to China.

Increased domestic demand for Huawei’s AI hardware signals a shift in China’s semiconductor market amid geopolitical tensions. Analysts believe this development strengthens Huawei’s ambition to compete globally in the AI chip market.

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