China’s DeepSeek has shaken the AI industry by dramatically reducing the cost of developing generative AI models. While global players like OpenAI and Microsoft see potential in India, the country still lacks its own foundational AI model.
The Indian government aims to change this within 10 months by supplying high-end chips to startups and researchers, but experts warn that structural issues in education, research, and policy could hold back progress.
Despite being a major hub for AI talent, India lags behind the United States and China in research, patents, and funding. State-backed AI investments are significantly smaller than those in the two superpowers, and limited private investment further slows progress.
The outsourcing industry, which dominates India’s tech sector, has traditionally focused on services rather than developing AI innovations, leaving startups to bridge the gap.
Some industry leaders believe India can still make rapid advancements by leveraging open-source AI platforms like DeepSeek. However, long-term success will require building a strong research ecosystem, boosting semiconductor production, and securing strategic autonomy in AI.
Without these efforts, experts caution that India may struggle to compete on the global AI stage in the coming years.
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Warnings about AI misuse have intensified after lawyers from Morgan & Morgan faced potential sanctions for using fake case citations in a lawsuit against Walmart.
The firm’s urgent email to over 1,000 attorneys highlighted the dangers of relying on AI tools, which can fabricate legal precedents and jeopardise professional credibility. A lawyer in the Walmart case admitted to unintentionally including AI-generated errors in court filings.
Courts have seen a rise in similar incidents, with at least seven cases involving disciplinary actions against lawyers using false AI-generated information in recent years. Prominent examples include fines and mandatory training for lawyers in Texas and New York who cited fictitious cases in legal disputes.
Legal experts warn that while AI tools can speed up legal work, they require rigorous oversight to avoid costly mistakes.
Ethics rules demand lawyers verify all case filings, regardless of AI involvement. Generative AI, such as ChatGPT, creates risks by producing fabricated data confidently, sometimes referred to as ‘hallucinations’. Experts point to a lack of AI literacy in the legal profession as the root cause, not the technology itself.
Advances in AI continue to reshape the legal landscape, with many firms adopting the technology for research and drafting. However, mistakes caused by unchecked AI use underscore the importance of understanding its limitations.
Acknowledging this issue, law schools and organisations are urging lawyers to approach AI cautiously to maintain professional standards.
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Meta has unveiled plans to host its first-ever developer conference dedicated to generative AI, called LlamaCon. Scheduled for April 29, the event will focus on Meta’s open-source AI efforts, particularly its Llama models.
The company aims to share updates that will help developers build new AI-powered applications. Additional details are expected in the coming weeks, with Meta’s broader annual conference, Meta Connect, set for September.
The company has positioned itself as a leader in open-source AI, boasting hundreds of millions of downloads of its Llama models. Major firms, including Goldman Sachs, AT&T, and Accenture, are among those integrating Llama into their services.
However, reports suggest that Meta has been caught off guard by the rapid rise of Chinese AI company DeepSeek, whose latest models may challenge Llama’s dominance. Meta has reportedly launched internal efforts to study DeepSeek’s approach to efficiency and cost reduction.
With a planned $80 billion investment in AI this year, Meta is pushing ahead with new Llama models that could include reasoning, multimodal, and autonomous capabilities. CEO Mark Zuckerberg has expressed confidence in Llama’s potential to become the most widely used AI model.
Ant Group, the Alibaba-linked fintech giant, has entered the humanoid robot industry, joining other major Chinese technology firms investing in this rapidly expanding field. The company has begun hiring for robotics-related positions through its subsidiary, Shanghai Ant Lingbo Technology, which was established in late 2024 with registered capital of 100 million yuan ($13.73 million).
The Chinese government has identified humanoid robots as a key driver of economic growth and technological competition with the United States.
Several Chinese companies are advancing in the humanoid robotics sector, with firms like UBTech and Unitree gaining attention for their cutting-edge designs. Unitree has showcased robots capable of walking, climbing, and carrying loads, further fuelling interest in the sector.
President Xi Jinping recently highlighted the importance of the industry by giving Unitree’s founder a front-row seat at a private sector meeting.
Large Chinese corporations are exploring humanoid robotics through direct research or investment. Xiaomi has been developing robots since at least 2022, launching its CyberOne model, while Tencent has supported the industry through strategic investments, such as its 50 million yuan backing of Shenzhen-based Leju Robot in 2018.
As interest in robotics accelerates, China is positioning itself as a global leader in the field.
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Online fashion retailers are increasingly using artificial intelligence to tackle the costly issue of clothing returns, with up to 30% of purchases being sent back due to sizing problems. A study by McKinsey estimates that each return costs between $21 and $46, significantly affecting profit margins. Many customers order multiple sizes and return those that don’t fit, creating logistical headaches for retailers.
To address this, companies are adopting AI-driven sizing tools. French start-up Fringuant, for instance, uses an algorithm that analyses a shopper’s height, weight, and a quick selfie to predict the best size. Zalando, a German e-commerce giant, has also implemented its own AI-powered tool that guides customers by comparing their body shape with garment dimensions. These technologies are already helping some brands reduce return rates significantly.
Beyond sizing, AI is also improving warehouse operations to prevent shipping mistakes. Smart cameras on order pickers’ trolleys at logistics firms help ensure the right product is selected, while AI-equipped robots track stock levels, reducing errors that lead to returns. As online shopping continues to grow, retailers hope these innovations will streamline processes and boost efficiency.
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Baidu has announced plans to open-source its upcoming Ernie 4.5 chatbot series, citing inspiration from the success of AI firm DeepSeek. The move is aimed at encouraging greater adoption of its technology by making it more accessible.
Baidu also plans to provide premium chatbot services free of charge starting in April, with the open-source launch scheduled for June.
DeepSeek’s open-source approach, combined with its innovative R1 model, has gained widespread attention and increased adoption of foundational AI tools. Baidu CEO Robin Li highlighted the significance of this strategy in shaping the company’s decision.
He expressed confidence in the technology behind Ernie 4.5, which Baidu claims will be its most advanced model to date.
Despite advancements in AI, Baidu’s Q4 2024 results revealed a 2% revenue decline to 34.12 billion yuan, slightly ahead of expectations. Growth in the Cloud AI sector, up 26% year-on-year, partly offset a 7% drop in its online marketing business.
Weakness in China’s economy, particularly the property market, has contributed to reduced advertising demand.
Baidu handled 1.65 billion daily interactions on its Ernie platform in December, up from 600 million in August. However, its US-listed shares dropped 7% in early trading after the results.
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A US federal judge has denied a request to temporarily block Elon Musk’s Department of Government Efficiency (DOGE) from accessing data from seven federal agencies or making further workforce cuts. The lawsuit, brought by 14 Democratic attorneys general, argued that DOGE was overstepping its authority by reshaping agencies and obtaining vast amounts of government information. However, Judge Tanya Chutkan ruled that the plaintiffs failed to prove immediate harm, allowing DOGE to continue operations.
Despite this decision, the judge acknowledged serious constitutional concerns regarding Musk’s authority. She noted that Musk had not been nominated by the US President Trump or confirmed by the Senate, raising potential violations of the Appointments Clause. In her ruling, Chutkan also criticised the Trump administration’s legal arguments, suggesting inconsistencies in its justification for DOGE’s powers.
While the restraining order was denied, the states can still pursue their case, potentially seeking a preliminary injunction to halt DOGE’s access to federal data. New Mexico Attorney General Raúl Torrez vowed to continue the legal fight, accusing Musk of destabilising government functions and acting without proper oversight. The battle over DOGE’s legitimacy is expected to intensify in the coming months.
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Google Meet’s AI-driven note-taking feature is getting a major upgrade with the ability to generate action items from meeting transcripts. The update, powered by Google’s Gemini AI, will automatically identify key tasks, assign deadlines, and designate responsible individuals at the end of each meeting.
Originally launched in August 2024, the AI transcription tool already provides accurate speaker separation and structured summaries in Google Docs. With this latest enhancement, the technology aims to improve productivity by ensuring that key takeaways are actionable and well-organised.
The feature begins rolling out today but at a slower pace than usual, as Google closely monitors its performance and quality. While AI-generated notes can be a helpful time-saver, some users may still prefer manual control over meeting documentation, especially when handling sensitive information.
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Former OpenAI chief technology officer Mira Murati has launched a new AI startup called Thinking Machines Lab, backed by a team of around 30 researchers and engineers from companies such as OpenAI, Meta, and Mistral. The startup aims to create AI systems that encode human values and address a wider range of applications than existing rivals, according to a blog post from the company.
Murati’s new venture demonstrates her ability to attract top talent, with two-thirds of the team made up of former OpenAI employees. Among them are Barret Zoph, a well-known researcher who joined Murati in leaving OpenAI in September, and John Schulman, OpenAI’s co-founder and the startup’s chief scientist. Schulman previously left OpenAI for Anthropic to focus on AI alignment, a key goal of Thinking Machines Lab.
The company’s approach differentiates itself by combining research and product teams in the design process. Thinking Machines Lab plans to contribute to AI alignment research by sharing code, datasets, and model specifications. Murati, now CEO of the startup, has previously played a major role in developing ChatGPT, and her exit from OpenAI reflects a broader trend of high-profile departures amid changes at the company.
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Freelance marketplace Fiverr is rolling out new AI tools designed to help gig workers streamline their work and maintain competitiveness. The ‘Personal AI Creation Model’ allows freelancers to train AI systems on their own work, offering clients either automated or blended content.
Freelancers retain ownership of the generated content and can set prices for its use, with the service costing $25 per month.
The tools aim to address challenges in the gig economy, where generative AI has increased competition while reducing opportunities. Fiverr highlights that the AI creation model prioritises freelancers’ control, ensuring their data is not misused.
Additionally, a ‘Personal AI Assistant’ is available to help with routine tasks and client communication, priced at $29 per month or included with Fiverr’s premium subscription.
Fiverr is also introducing a programme granting company shares to its top-performing freelancers. While the specifics remain undisclosed, the initiative reflects efforts to support gig workers in an increasingly competitive market.
As generative AI reshapes industries, Fiverr’s initiatives could help freelancers navigate the evolving landscape while enhancing their earning potential and safeguarding their creative work.
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