India solidified its global leadership in 2024, making remarkable strides in pharmaceuticals, biotechnology, defence, nuclear energy, and space exploration. Initiatives like the Production Linked Incentive (PLI) scheme and breakthroughs such as the indigenous antibiotic Nafithromycin propelled the pharmaceutical sector’s exports to USD 28 billion. Biotechnology expanded 13-fold over the past decade, achieving a valuation of USD 130 billion, with ambitions to hit USD 300 billion by 2030.
The nation’s defence sector reached unprecedented levels of self-reliance, recording indigenous production worth 15.24 billion USD and a 30-fold rise in exports. Achievements like the Agni-5 missile test and the deployment of advanced ballistic missile defence systems highlighted India’s strategic capabilities. In nuclear energy, capacity nearly doubled to 8,180 MW, with a roadmap to triple this by 2032 through projects like Bharat Small Reactors.
India’s space programme achieved significant milestones, including the approval of the Venus Orbiter Mission and Chandrayaan-4, as well as advancements in private sector contributions. The foundation of a second spaceport and the celebration of National Space Day underscored the sector’s growing prominence. Additionally, the solar mission Aditya-L1 made groundbreaking contributions to space weather predictions.
Infrastructure and emerging technologies further reinforced India’s position on the global stage. Developments such as the completion of a Hyperloop test track and the GNSS-enabled tolling system showcased futuristic planning. Quantum communication, AI, and blockchain innovations, including the Vishvasya platform, demonstrated India’s commitment to leading the next technological revolution.
Prominent figures in technology are heavily investing in nuclear energy, viewing it as crucial for future innovation. OpenAI’s Sam Altman and Microsoft co-founder Bill Gates are spearheading initiatives in advanced nuclear technology, with Altman chairing Oklo, a company developing sustainable nuclear reactors.
Data centres, essential for AI and cloud technologies, have seen electricity demands surge by 50% since 2020, now accounting for 4% of US energy use. Projections indicate this figure could rise to 9% by 2030, emphasising the need for scalable, carbon-free energy solutions. Nuclear power offers a consistent energy supply, unlike solar or wind, making it an attractive choice.
Microsoft has committed to reviving the Three Mile Island reactor by 2028, aiming to meet the energy needs of its growing AI operations. Experts, however, caution that tech-driven nuclear investments may prioritise corporate demands over broader public benefits.
Oklo and similar ventures highlight the increasing convergence of technology and energy, as industry leaders strive to support AI advancements sustainably. The debate continues on whether these moves truly serve societal needs or primarily benefit the tech sector.
AI is revolutionising the legal field, offering solutions to improve fairness and reduce costs in the justice system. Tools powered by AI are being used to streamline tasks like analysing evidence, drafting contracts, and preparing cases. Organisations like the Westway Trust in London are adopting AI to assist clients with complex disputes, such as benefits appeals and housing issues. These tools save hours of work, enabling paralegals to focus on providing better support.
The technology has sparked excitement and debate among legal professionals. AI models are being developed to help barristers identify inconsistencies in real-time court transcripts and assist judges with evidence analysis. Advocates argue that AI could make justice more accessible, while reducing the burden on legal practitioners and cutting costs for clients. However, concerns about accuracy and bias persist, with experts emphasising the importance of human oversight.
Sir Geoffrey Vos, Master of the Rolls, underscores the need for AI to complement, not replace, human judges. Guidelines stress transparency in AI use and the responsibility of lawyers to verify outputs. While tools like ChatGPT can provide general advice, professionals caution against relying on non-specialised AI for legal matters. Experts believe that AI will play a crucial role in addressing the fairness gap in the justice system without compromising the rule of law.
The increasing number of data centres powering AI could pose significant challenges for the United States power grid, as reported by Bloomberg. Findings indicate a connection between data centre activity and ‘bad harmonics,’ a term describing electrical power distortions that can damage appliances, heighten fire risks, and lead to power outages.
Bloomberg’s analysis, using data from Whisker Labs and DC Byte, revealed that over half of homes with the worst power distortions are located within 20 miles of active data centres. AI-driven centres, with their unpredictable energy needs, exacerbate these grid strains, pushing infrastructure beyond its designed limits.
Experts, including Aman Joshi of Bloom Energy, warn that no current grid can handle such intense load fluctuations from multiple data centres. While some utility companies question these findings, the report underscores the urgent need to address the interplay between technological expansion and energy stability.
Taiwan’s government faces significant funding challenges for its semiconductor, AI, and aerospace sectors. The science ministry has warned that economic and technology spending could be cut by T$20 billion (£486 million) next year, a move linked to recent legislation passed by opposition parties. The legislation redirects central government funds to local municipalities, drawing criticism from the ruling Democratic Progressive Party and protestors.
Economic partnerships with tech giants such as Micron, AMD, and Nvidia are also at risk. Taiwan’s Ministry of Economic Affairs highlighted concerns about future budgets potentially undermining international collaborations in AI and other advanced technologies. Micron, the island’s largest foreign investor, along with AMD and Nvidia, relies on partial government funding for joint projects.
Projected cuts include a reduction of T$29.7 billion in overall economic ministry spending, with T$11.6 billion specifically targeting technology initiatives. Observers note that the financial constraints could weaken Taiwan’s position in global technology innovation.
Government officials and industry leaders are urging a re-evaluation of spending priorities to safeguard Taiwan’s leadership in key technology sectors.
In Barcelona, a pink-haired 25-year-old named Aitana captivates social media with her stunning images and relatable personality. But Aitana isn’t a real person—she’s an AI model created by The Clueless Agency. Launched during a challenging period for the agency, Aitana was designed as a solution to the unpredictability of working with human influencers. The virtual model has proven successful, earning up to €10,000 monthly by featuring in advertisements and modelling campaigns.
Aitana has already amassed over 343,000 Instagram followers, with some celebrities unknowingly messaging her for dates. Her creators, Rubén Cruz and Diana Núñez, maintain her appeal by crafting a detailed “life,” including fictional trips and hobbies, to connect with her audience. Unlike traditional models, Aitana has a defined personality, presented as a fitness enthusiast with a determined yet caring demeanour. This strategic design, rooted in current trends, has made her a relatable and marketable figure.
The success of Aitana has sparked a new wave of AI influencers. The Clueless Agency has developed additional virtual models, including a more introverted character named Maia. Brands increasingly seek these customisable AI creations for their campaigns, citing cost efficiency and the elimination of human unpredictability. However, critics warn that the hypersexualised and digitally perfected imagery promoted by such models may negatively influence societal beauty standards and young audiences.
Despite these concerns, Aitana represents a broader shift in advertising and social media. By democratising access to influencer marketing, AI models like her offer new opportunities for smaller businesses while challenging traditional notions of authenticity and influence in the digital age.
A humanoid robot named CUE6 has captivated audiences in Japan with its basketball prowess, achieving a Guinness World Record for the longest shot by a humanoid robot. Developed by Toyota engineers, the robot’s achievement highlights the potential of AI in mimicking human precision and adapting to complex tasks.
CUE6’s journey began in 2017 as an experimental project. Starting with LEGO-based prototypes, the team gradually refined the robot’s capabilities, culminating in its ability to dribble, handle balls, and adapt its movements based on real-time analysis. By 2019, the robot had already achieved a remarkable milestone: 2,020 consecutive free throws. The latest version, CUE6, demonstrated the power of AI by recalibrating its shot after a miss to secure the record on its second attempt.
Toyota engineers view CUE6 as more than a novelty. The project serves as a testing ground for AI systems capable of dynamic learning and adaptation. While the immediate goal of creating a robot that can dunk like Michael Jordan remains aspirational, the technologies developed for CUE6 in Japan have far-reaching implications beyond sports, from automation to healthcare.
Goodman Group has emerged as a standout performer in Australia’s real estate sector this year, with its stock soaring 45.8%, marking its strongest run since 2006. The surge is driven by a boom in AI, which has sparked frenzied demand for data centres. Global tech giants like Amazon, Microsoft, and Meta have poured billions into expanding their data centre capacity, fueling growth for developers like Goodman.
At the end of September, 42% of Goodman’s A$12.8 billion ($7.96 billion) development portfolio was dedicated to data centres, a jump from 37% last year. Analysts like John Lockton of Sandstone Insights see this focus as a key strength, noting the company’s access to land with power supply, a critical factor for future data-centre projects.
Despite the optimism, some caution remains. Analysts warn that soaring valuations in the data-centre sector could cool investor enthusiasm. Goodman’s high stock prices and concerns over risks like obsolescence and increased competition raise questions about long-term returns. Nonetheless, with robust demand for AI infrastructure, Goodman’s pipeline and strategic positioning keep it well-poised for continued growth.
AI is transforming education for students with disabilities, offering tools that level the playing field. From reading assistance to speech and language tools, AI is enabling students to overcome learning barriers. For 14-year-old Makenzie Gilkison, who has dyslexia, AI-powered assistive technology has been life-changing, allowing her to excel academically and keep pace with her peers.
Schools are increasingly adopting AI for personalised learning, balancing its benefits with ethical considerations. Tools like chatbots and text-to-speech programs enhance accessibility while raising concerns about over-reliance and the potential for misuse. Experts emphasise that AI should support, not replace, learning.
Research and development are advancing rapidly, addressing challenges like children’s handwriting and speech impediments. Initiatives such as the National AI Institute for Exceptional Education aim to refine these tools, while educators work to ensure students and teachers are equipped to harness their potential effectively.
Chinese AI firm DeepSeek has unveiled DeepSeek V3, a groundbreaking open-source model designed for a range of text-based tasks. Released under a permissive licence, the model supports coding, translations, essay writing, and email drafting, offering developers the freedom to modify and deploy it commercially.
In internal benchmarks, DeepSeek V3 outperformed major competitors, including Meta’s Llama 3.1 and OpenAI’s GPT-4o, especially in coding contests and integration tests. The model boasts an impressive 671 billion parameters, significantly exceeding the size of many rivals, which often correlates with higher performance.
DeepSeek-V3!
60 tokens/second (3x faster than V2!) API compatibility intact Fully open-source models & papers 671B MoE parameters 37B activated parameters Trained on 14.8T high-quality tokens
DeepSeek V3 was trained on a dataset of 14.8 trillion tokens and built using a data centre powered by Nvidia H800 GPUs. Remarkably, the model was developed in just two months for a reported $5.5 million—far less than comparable systems. However, its size and resource demands make it less practical without high-end hardware.
Regulatory limitations influence the model’s responses, particularly on politically sensitive topics. DeepSeek, backed by High-Flyer Capital Management, continues to push for advancements in AI, striving to compete with leading global firms despite restrictions on access to cutting-edge GPUs.
