India is ramping up its efforts in the field of AI, not only for commercial purposes but also for military applications, as it seeks to keep pace with its regional rival, China. A report by the Delhi Policy Group highlighted India’s annual spending on AI, estimated at around $50 million, which is dwarfed by China’s investment, surpassing 30 times that amount. Recognising the strategic importance of AI, India aims to bolster its indigenous AI capabilities to bolster its defence capabilities.
The Indian military has been actively exploring AI applications, including the recent launch of a robotic buddy designed to carry out tasks such as surveillance and supporting soldiers in rugged terrains. The Signals Technology Evaluation and Adaptation Group (STEAG) also spearheads research into AI and other emerging technologies to enhance modern warfare capabilities. India’s collaboration with the US on AI development further underscores its commitment to leveraging cutting-edge technology for defence purposes.
Why does it matter?
AI holds significant potential for enhancing military intelligence, training, and education, offering insights into real-time simulations and exercises. However, concerns remain about AI technology’s ethical implications and potential misuse, including the proliferation of deepfakes and disinformation campaigns. While India boasts a strong civilian AI sector, it faces stiff competition from China’s well-funded and centralised military AI system.
As AI technology continues to evolve, India aims to play a leading role in shaping the ethical and legal frameworks governing its use in warfare and society at large. With ongoing research and investment in AI, India seeks to ensure that its military remains at the forefront of technological innovation, positioning itself as a key player in the future landscape of high-tech warfare.
Elon Musk has revealed that his AI startup, xAI, plans to construct a supercomputer to enhance its AI chatbot Grok, aiming to launch it by fall 2025. According to the report, Musk suggested that xAI might collaborate with Oracle to develop this vast computational resource. When complete, the supercomputer would utilise Nvidia’s flagship H100 GPUs and be four times larger than the biggest GPU clusters currently available.
The Grok 2 model already required about 20,000 Nvidia H100 GPUs for training, and Musk anticipates that future models, like Grok 3, will need around 100,000 of these chips. Nvidia’s H100 GPUs are in high demand due to their dominance in the AI data centre chip market, making them challenging to procure.
Musk established xAI last year to compete with AI powerhouses such as Microsoft-backed OpenAI and Google’s Alphabet. His ambitious plan to build the supercomputer marks his commitment to advancing AI technology and maintaining a competitive edge in the rapidly evolving industry.
Spotify is expanding its AI DJ feature by developing a version that will speak Spanish. Tech expert Chris Messina discovered the new AI DJ, called ‘DJ Livi’, in the app’s code. That version represents the first language expansion for the AI DJ, initially launched last year in English under the name ‘DJ X’. The new feature is expected to be available in Mexico, with the potential for broader use wherever Spanish is spoken.
While Spotify has not officially confirmed the rollout of DJ Livi, the company acknowledged that it frequently tests new features to enhance user experience. The spokesperson emphasised that some tests lead to broader implementations while others provide valuable insights. The following development aligns with the global popularity of the Spanish language and its significant presence in the US, where over 42 million people speak Spanish at home.
In addition to the AI DJ, Spotify is exploring other AI technologies, such as host-read ads for podcasts and personalised AI playlists. CEO Daniel Ek has indicated that AI will be crucial in personalisation, advertising, and podcast summaries. These efforts highlight Spotify’s commitment to leveraging AI to improve its services and cater to a diverse user base.
Nvidia’s latest AI chip, the H20, tailored for the Chinese market, is struggling with weak demand, leading to prices dropping below that of rival Huawei’s Ascend 910B chip. Despite being Nvidia’s most advanced product available in China, the H20’s abundant supply suggests it needs to gain more traction. This comes as Nvidia faces stiff competition and US sanctions that have significantly impacted its business in China, a market that previously contributed 17% to its fiscal 2024 revenue.
The competitive pressure and sanctions create uncertainty for Nvidia’s prospects in China. Senior executives acknowledged a substantial drop in their data centre revenue from China since new export control restrictions were implemented. Market analyst Hebe Chen noted that Nvidia is trying to balance maintaining its presence in China while navigating US tensions and preparing for potentially worse outcomes in the long term.
Huawei’s aggressive expansion and increased shipments of its Ascend 910B chip, which reportedly outperforms the H20 in some metrics, further challenge Nvidia. While Nvidia’s H20 has seen some orders from major Chinese tech firms like Alibaba, its success is constrained by Beijing’s preference for domestically produced chips. With a significant price discrepancy between Nvidia’s H20 and Huawei’s 910B, Nvidia’s margin squeeze is apparent as it competes in a market increasingly dominated by local players.
The FCC has proposed a $6 million fine against a scammer who used voice-cloning technology to impersonate US President Biden in a series of illegal robocalls during the New Hampshire primary election. This incident serves as a stern warning to other potential high-tech scammers about the misuse of generative AI in such schemes. In January, many New Hampshire voters received fraudulent calls mimicking President Biden, urging them not to vote in the primary. The voice-cloning technology, which has become widely accessible, enabled this deception with just a few minutes of Biden’s publicly available speeches.
The FCC and other law enforcement agencies have made it clear that using fake voices to suppress votes or for other malicious activities is strictly prohibited. Loyaan Egal, the chief of the FCC’s Enforcement Bureau, emphasised their commitment to preventing the misuse of telecommunications networks for such purposes. The primary perpetrator, political consultant Steve Kramer, collaborated with the disreputable Life Corporation and telecom company Lingo, among others, to execute the robocall scheme.
While Kramer faces violations of several rules, there are currently no criminal charges against him or his associates. The FCC’s power is limited to civil penalties, requiring cooperation with local or federal law enforcement for further action. Although the $6 million fine represents a significant penalty, the actual amount paid may be lower due to various factors. Kramer has the opportunity to respond to the allegations, and additional actions are being taken against Lingo, which could lead to further fines or the loss of licenses.
Following this case, the FCC officially declared in February that AI-generated voices are illegal to use in robocalls. This decision underscores the agency’s stance on generative AI and its potential for abuse, aiming to prevent future incidents of voter suppression and other fraudulent activities.
Truecaller, the popular caller ID service, is introducing a new AI feature allowing users to answer phone calls in their ‘own voice’. The innovation, made possible through a partnership with Microsoft, utilises the tech giant’s Personal Voice technology. By recording a short script in their own voice, Truecaller users can create a digital copy, enabling the Assistant to respond to callers in a lifelike manner. This feature enhances the user experience, offering a personalised touch to phone interactions.
The personal voice feature, initially available to paid Truecaller users, represents a significant advancement in AI-powered voice technologies. While users can customise follow-up responses, Truecaller has restricted editing of the introductory greeting template to maintain clarity that callers are interacting with a digital version of the user’s voice. Azure AI Speech’s personal voice feature adds watermarks to identify synthetic audio, ensuring transparency in voice interactions.
Raphael Mimoun, Truecaller’s product director and general manager for Israel, believes that the personal voice feature will revolutionise call management and elevate user experience. The rollout of this feature will commence in select markets, including the US, Canada, India, and Sweden, over the coming weeks. Initially available to public beta users, it will eventually be accessible to all users in eligible regions, promising to deliver innovative solutions to Truecaller’s global user base.
OpenAI, led by Sam Altman, has entered a significant deal with media giant News Corp, securing access to content from its major publications. The agreement follows a recent content licensing deal with the Financial Times aimed at enhancing the capabilities of OpenAI’s ChatGPT. Such partnerships are essential for training AI models, providing a financial boost to news publishers traditionally excluded from the profits generated by internet companies distributing their content.
The financial specifics of the latest deal remain undisclosed, though the Wall Street Journal, a News Corp entity, reported that it could be valued at over $250 million across five years. The deal ensures that content from News Corp’s publications, including the Wall Street Journal, MarketWatch, and the Times, will not be immediately available on ChatGPT upon publication. The following move is part of OpenAI’s ongoing efforts to secure diverse data sources, following a similar agreement with Reddit.
The announcement has positively impacted News Corp’s market performance, with shares rising by approximately 4%. OpenAI’s continued collaboration with prominent media platforms underscores its commitment to developing sophisticated AI models capable of generating human-like responses and comprehensive text summaries.
Microsoft’s recent deal with UAE-backed AI firm G42 could involve the transfer of advanced AI technology, raising concerns about national security implications. Microsoft President Brad Smith highlighted that the agreement might eventually include exporting sophisticated chips and AI model weights, although this phase has no set timeline. The deal, which necessitates US Department of Commerce approval, includes safeguards to prevent the misuse of technology by Chinese entities. However, details of these measures remain undisclosed, prompting scepticism among US lawmakers about their adequacy.
Concerns about the agreement have been voiced by senior US officials, who warn of the potential national security risks posed by advanced AI systems, such as the ease of engineering dangerous weapons. Representative Michael McCaul expressed frustration over the lack of a comprehensive briefing for Congress, citing fears of Chinese espionage through UAE channels. Current regulations require notifications and export licenses for AI chips, but gaps exist regarding the export of AI models, leading to legislative efforts to grant US officials more explicit control over such exports.
Why does it matter?
The deal, valued at $1.5 billion, was framed as a strategic move to extend US technology influence amid global competition, particularly with China. Although the exact technologies and security measures involved are not fully disclosed, the agreement aims to enhance AI capabilities in regions like Kenya and potentially Turkey and Egypt. Microsoft asserts that G42 will adhere to US regulatory requirements and has implemented a ‘know your customer’ rule to prevent Chinese firms from using the technology for training AI models.
Microsoft emphasises its commitment to ensuring secure global technology transfers, with provisions for imposing financial penalties on G42 through arbitration courts in London if compliance issues arise. While the US Commerce Department will oversee the deal under existing and potential future export controls, how Commerce Secretary Gina Raimondo will handle the approval process remains uncertain. Smith anticipates that the regulatory framework developed for this deal will likely be applied broadly across the industry.
The US Federal Communications Commission (FCC) has proposed a requirement for political ads to disclose the use of AI-generated content. Chairwoman Jessica Rosenworcel announced Wednesday that the FCC would seek public comments on this potential rule. The initiative aims to ensure transparency in political advertising, allowing consumers to know when AI tools are utilised in the ads they view.
Under the proposed framework, candidate and issue ads would need to include disclosures about AI-generated content for cable, satellite TV, and radio providers, but not for streaming services like YouTube, which fall outside FCC regulation. The first step involves defining what constitutes AI-generated content and determining if such a regulation is necessary. The proposal marks the beginning of a fact-finding mission to develop new regulations.
The FCC document emphasises the public interest in protecting viewers from misleading or deceptive programming and promoting informed decision-making. While the proposal is still in its early stages, it reflects a growing concern about the impact of AI on political communication. The rule, if implemented, could deter low-effort AI-generated ads and help address deceptive practices in political advertising.
The FCC will gather more information on how this rule would interact with the Federal Trade Commission and the Federal Election Commission, which oversee advertising and campaign regulations. The timeline for the rule’s enforcement remains uncertain, pending further review and public input.
AI firm iFlytek has entered a price war among China’s top tech companies by significantly reducing the cost of its ‘Spark’ large-language model (LLM). iFlytek’s move follows recent price cuts by Alibaba, Baidu, and Bytedance for their own LLMs used in generative AI products. Spark Lite, launched last September, is now free for public use, while Spark Pro and Max versions are priced at just 0.21 yuan (less than 3 cents) per 10,000 tokens, which is five times cheaper than competitors.
iFlytek claims that Spark surpasses ChatGPT 3.5 in Chinese language tasks and performs comparably in English. The Hefei-based company, renowned for its voice recognition technology, highlighted that Spark’s pricing allows significant cost savings. For instance, Spark Max can generate the entirety of Yu Hua’s novel ‘To Live’ for just 2.1 yuan ($0.29).
State-owned China Mobile, holding a 10% stake in iFlytek, is its largest shareholder. Strategic pricing aims to make advanced AI technology more accessible to the public while challenging the market dominance of other tech giants.
