Digital cooperation

AI startup caught in Dev Mode trademark row

Figma has issued a cease-and-desist letter to Swedish AI startup Loveable over the use of the term ‘Dev Mode,’ a name Figma trademarked in 2023.

Loveable recently introduced its own Dev Mode feature, prompting the design platform to demand the startup stop using the name, citing its established use and intellectual property rights.

Figma’s version of Dev Mode helps bridge the gap between designers and developers, while Loveable’s tool allows users to preview and edit code without linking to GitHub.

Despite their differing functions, Figma insists on protecting the trademark, even though ‘developer mode’ is a widely used phrase across many software platforms. Companies such as Atlassian and Wix have used similar terminology long before Figma obtained the trademark.

The legal move arrives as Figma prepares for an initial public offering, following Adobe’s failed acquisition attempt in 2023. The sudden emphasis on brand protection suggests the company is taking extra care with its intellectual assets ahead of its potential stock market debut.

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CISA extends MITRE’s CVE program for 11 months

The US Cybersecurity and Infrastructure Security Agency (CISA) has extended its contract with the MITRE Corporation to continue operating the Common Vulnerabilities and Exposures (CVE) program for an additional 11 months. The decision was made one day before the existing contract was set to expire.

A CISA spokesperson confirmed that the agency exercised the option period in its $57.8 million contract with MITRE to prevent a lapse in CVE services. The contract, which originally concluded on April 17, includes provisions for optional extensions through March 2026.

‘The CVE Program is invaluable to the cyber community and a priority of CISA,’ the spokesperson stated, expressing appreciation for stakeholder support.

Yosry Barsoum, vice president of MITRE and director of its Center for Securing the Homeland, said that CISA identified incremental funding to maintain operations.

He noted that MITRE remains committed to supporting both the CVE and CWE (Common Weakness Enumeration) programs, and acknowledged the widespread support from government, industry, and the broader cybersecurity community.

The extension follows public concern raised earlier this week after Barsoum issued a letter indicating that program funding was at risk of expiring without renewal.

MITRE officials noted that, in the event of a contract lapse, the CVE program website would eventually go offline and no new CVEs would be published. Historical data would remain accessible via GitHub.

Launched in 1999, the CVE program serves as a central catalogue for publicly disclosed cybersecurity vulnerabilities. It is widely used by governments, private sector organisations, and critical infrastructure operators for vulnerability identification and coordination.

Amid recent uncertainty about the program’s future, a group of CVE Board members announced the formation of a new non-profit organisation — the CVE Foundation — aimed at supporting the long-term sustainability and governance of the initiative.

In a public statement, the group noted that while US government sponsorship had enabled the program’s growth, it also introduced concerns around reliance on a single national sponsor for what is considered a global public good.

The CVE Foundation is intended to provide a neutral, independent structure to ensure continuity and community oversight.

The foundation aims to enhance global governance, eliminate single points of failure in vulnerability management, and reinforce the CVE program’s role as a trusted and collaborative resource. Further information about the foundation’s structure and plans is expected to be released in the coming days.

CISA did not comment on the creation of the CVE Foundation. A MITRE spokesperson indicated the organisation intends to work with federal agencies, the CVE Board, and the cybersecurity community on options for ongoing support.

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AI firm DeepSeek opens up on model deployment tech

Chinese AI startup DeepSeek has announced its intention to share the technology behind its internal inference engine, a move aimed at enhancing collaboration within the open-source AI community.

The company’s inference engine and training framework have played a vital role in accelerating the performance and deployment of its models, including DeepSeek-V3 and R1.

Built on PyTorch, DeepSeek’s training framework is complemented by a modified version of the vLLM inference engine originally developed in the US at UC Berkeley.

While the company will not release the full source code of its engine, it will contribute its design improvements and select components as standalone libraries.

These efforts form part of DeepSeek’s broader open-source initiative, which began earlier this year with the partial release of its AI model code.

Despite this contribution, DeepSeek’s models fall short of the Open Source Initiative’s standards, as the training data and full framework remain restricted.

The company cited limited resources and infrastructure constraints as reasons for not making the engine entirely open-source. Still, the move has been welcomed as a meaningful gesture towards transparency and knowledge-sharing in the AI sector.

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Nvidia brings AI supercomputer production to the US

Nvidia is shifting its AI supercomputer manufacturing operations to the United States for the first time, instead of relying on a globally dispersed supply chain.

In partnership with industry giants such as TSMC, Foxconn, and Wistron, the company is establishing large-scale facilities to produce its advanced Blackwell chips in Arizona and complete supercomputers in Texas. Production is expected to reach full scale within 12 to 15 months.

Over a million square feet of manufacturing space has been commissioned, with key roles also played by packaging and testing firms Amkor and SPIL.

The move reflects Nvidia’s ambition to create up to half a trillion dollars in AI infrastructure within the next four years, while boosting supply chain resilience and growing its US-based operations instead of expanding solely abroad.

These AI supercomputers are designed to power new, highly specialised data centres known as ‘AI factories,’ capable of handling vast AI workloads.

Nvidia’s investment is expected to support the construction of dozens of such facilities, generating hundreds of thousands of jobs and securing long-term economic value.

To enhance efficiency, Nvidia will apply its own AI, robotics, and simulation tools across these projects, using Omniverse to model factory operations virtually and Isaac GR00T to develop robots that automate production.

According to CEO Jensen Huang, bringing manufacturing home strengthens supply chains and better positions the company to meet the surging global demand for AI computing power.

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Zhipu AI launches free agent to rival DeepSeek

Chinese AI startup Zhipu AI has introduced a free AI agent, AutoGLM Rumination, aimed at assisting users with tasks such as web browsing, travel planning, and drafting research reports.

The product was unveiled by CEO Zhang Peng at an event in Beijing, where he highlighted the agent’s use of the company’s proprietary models—GLM-Z1-Air for reasoning and GLM-4-Air-0414 as the foundation.

According to Zhipu, the new GLM-Z1-Air model outperforms DeepSeek’s R1 in both speed and resource efficiency. The launch reflects growing momentum in China’s AI sector, where companies are increasingly focusing on cost-effective solutions to meet rising demand.

AutoGLM Rumination stands out in a competitive landscape by being freely accessible through Zhipu’s official website and mobile app, unlike rival offerings such as Manus’ subscription-only AI agent. The company positions this move as part of a broader strategy to expand access and adoption.

Founded in 2019 as a spinoff from Tsinghua University, Zhipu has developed the GLM model series and claims its GLM4 has surpassed OpenAI’s GPT-4 on several evaluation benchmarks.

In March, Zhipu secured major government-backed investment, including a 300 million yuan (US$41.5 million) contribution from Chengdu.

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US exempts key electronics from China import taxes

Smartphones, computers, and key tech components have been granted exemption from the latest round of US tariffs, providing relief to American technology firms heavily reliant on Chinese manufacturing.

The decision, which includes products such as semiconductors, solar cells, and memory cards, marks the first major rollback in President Donald Trump’s trade war with China.

The exemptions, retroactively effective from 5 April, come amid concerns from US tech giants that consumer prices would soar.

Analysts say this move could be a turning point, especially for companies like Apple and Nvidia, which source most of their hardware from China. Industry reaction has been overwhelmingly positive, with suggestions that the policy shift could reshape global tech supply chains.

Despite easing tariffs on electronics, Trump has maintained a strict stance on Chinese trade, citing national security and economic independence.

The White House claims the reprieve gives firms time to shift manufacturing to the US. However, electronic goods will still face a separate 20% tariff due to China’s ties to fentanyl-related trade. Meanwhile, Trump insists high tariffs are essential leverage to renegotiate fairer global trade terms.

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Google rolls out AI to improve US power grid connections

Google has announced a partnership with PJM Interconnection, the largest electricity grid operator in North America, to deploy AI aimed at reducing delays in connecting new power sources to the grid. The move comes as energy demand surges due to the expansion of data centres required for AI development.

Wait times for connecting renewable and traditional energy sources, such as wind, solar and gas, have reached record levels, increasing the risk of blackouts and rising energy costs in the US. Google’s AI technology, developed alongside Alphabet-backed Tapestry, will streamline and automate key planning processes traditionally handled manually by grid operators.

Initial deployment will focus on automating tasks like assessing project viability, which are currently time-consuming. Over time, the project aims to create a digital model of PJM’s grid, similar to Google Maps, allowing planners to view layered data and make faster, more informed decisions.

While it is too early to quantify exactly how much time will be saved, the collaboration is expected to gradually improve planning efficiency. PJM’s grid serves 67 million people, including the world’s largest data centre hub in northern Virginia, making this a critical step toward modernising the energy infrastructure needed to support the AI era.

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AI giant Nvidia rebounds but challenges remain

Shares in Nvidia soared by nearly 20 per cent following a 90-day suspension of new US tariffs, lifting Wall Street to one of its strongest single-day performances in decades. The tech giant, whose chips underpin much of the AI boom from tools like ChatGPT to drone technologies, added $440bn to its market value in just one session, underlining its pivotal role in the global AI race.

Despite the rally, serious concerns remain. While some tariffs were temporarily halted, President Donald Trump raised levies on Chinese imports to as high as 125 per cent. For Nvidia, whose supply chain relies heavily on advanced manufacturing in Asia, particularly Taiwan and South Korea, the move threatens to disrupt both costs and production timelines. Analysts caution that such trade friction could deter investment in AI infrastructure, which is still in early stages of commercial return.

Even with strong revenues and continued dominance in AI hardware, Nvidia faces growing headwinds. The firm’s recent share slump reflected broader anxiety over whether AI spending is peaking, alongside the rise of cheaper, open-source alternatives. Added pressure from high energy demands, regulatory risks, and tighter capital markets could further complicate growth. Industry watchers warn that tariffs may undermine the very conditions AI needs to flourish: stable supply chains, affordable power, and investor confidence.

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ICT policy reform planned to boost digital economy in Bangladesh

Bangladesh is set to overhaul key ICT and telecom policies by June to eliminate major barriers to digital growth, according to Faiz Ahmad Taiyeb, Special Assistant to the Chief Adviser for Posts, Telecommunications and ICT.

He shared the plan at the Bangladesh Investment Summit 2025, highlighting that modern laws and a supportive business environment will pave the way for stronger digital investments.

Taiyeb noted that for over 15 years, fragmented digital initiatives have led to isolated systems with little integration or interoperability.

However, this lack of coordination has weakened citizen services and digital payments, and the government now aims to fix these issues as a top priority. The goal is to empower the country’s vast youth population through technology.

Several major reforms are currently in progress. The Cyber Security Ordinance, set to be finalised by the end of April, will introduce new transparency measures by requiring the government to disclose information about online content restrictions, giving citizens the right to legally challenge them.

Changes to the telecom licensing framework and network infrastructure are also moving forward.

At the summit’s digital growth panel, international experts called for easier cross-border e-commerce and fewer restrictions on digital transactions.

Bangladesh Bank plans to introduce full interoperability in digital payments by next year, and Grameenphone’s CEO highlighted how mobile connectivity continues to drive economic transformation.

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Nissan backs Wayve to power self-driving tech

Nissan Motor has partnered with UK-based AI company Wayve to develop the next generation of its autonomous driving technology, marking the first time a major automaker has publicly backed the start-up.

The carmaker intends to integrate Wayve’s AI Driver software into its ProPilot system, with a launch targeted for its fiscal year 2027, ending in March 2028.

Wayve claims the AI Driver platform, built on its embodied AI foundation model, will significantly enhance collision avoidance and overall safety.

Designed to navigate complex real-world conditions in a human-like way, the software will work in tandem with next-generation Lidar to deliver a more advanced driver assistance system.

The collaboration follows a $1.1 billion Series-C funding round led by SoftBank in 2024, which also saw support from Microsoft and NVIDIA.

Nissan’s endorsement signals a major leap forward for Wayve’s technology, as the race to commercialise autonomous driving intensifies across the automotive industry.

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