Pony AI, a Chinese self-driving technology firm backed by Toyota, is pursuing a US listing on Nasdaq with a target valuation of up to $4.48 billion. The company plans to offer 15 million American Depositary Shares priced between $11 and $13, aiming to raise as much as $195 million. Additional private placements are expected to generate $153.4 million, with key investors like BAIC committing to $74.9 million.
Founded in 2016, Pony AI operates a fleet of over 250 robotaxis and 190 robot trucks, competing in a market poised for rapid growth but facing significant challenges. The IPO represents a major step after its valuation dropped from $8.5 billion in 2022 due to reduced investor expectations and changing market dynamics. However, this follows an earlier failed attempt at a public offering in 2021 during Beijing’s crackdown on technology companies.
The move reflects a cautious reopening of US markets for Chinese companies, which have been wary since Didi Global’s delisting. Analysts highlight the immense potential of autonomous driving while noting hurdles such as safety concerns, profitability issues, and regulatory challenges. Despite slower adoption in the US, Chinese regulators have embraced trials, offering Pony AI an edge in development.
National security concerns are casting a shadow, with potential bans on vehicles using China-developed systems in the US. Pony AI’s IPO is supported by key financial backers, including Saudi Arabia’s NEOM, Ontario Teachers’ Pension Plan, and HongShan. The shares will trade under the ticker symbol ‘PONY,’ with Goldman Sachs, BofA Securities, and others managing the offering.
The UN Development Programme (UNDP) has partnered with cBrain, a Danish digital solutions provider, to accelerate Africa’s digital transformation. The collaboration focuses on bridging the digital divide, fostering inclusive growth, and strengthening community resilience across the continent. The partnership will target key areas, including the development of digital public infrastructure, the enhancement of e-governance and public service delivery, the expansion of digital financial inclusion for underserved populations, and the integration of digital tools into climate resilience efforts.
A central initiative of this collaboration is the establishment of a Process Library at the UNDP Resilience Hub in Nairobi. The library will focus on developing and scaling best practices in governance, with an emphasis on inclusion, capacity-building, economic development, and resilience. These efforts are aligned with the African Union’s Digital Transformation Strategy and the UN sustainable development goals, reinforcing a shared vision for sustainable progress. By leveraging cBrain’s expertise and Denmark’s proven digitalisation strategies, the partnership aims to empower both governments and citizens while driving innovation, transparency, and equitable access across the continent.
Furthermore, the partnership places a strong emphasis on capacity development, equipping government officials and civil society organisations with the digital skills necessary to manage this transformation effectively. It also underscores the importance of private-sector involvement in Africa’s digital journey, drawing on Britain’s global experience in providing standardised solutions and integrating AI-driven tools. This collaboration serves as a model for international cooperation in digital governance, with a focus on knowledge sharing to disseminate best practices.
By empowering marginalised communities with access to digital and financial services, this initiative aims to unlock economic growth, enhance climate resilience, and pave the way for a more equitable and prosperous future for Africa.
Indian video editing platform InVideo has unveiled a new AI-powered feature that generates videos from text prompts. Branded as InVideo v3.0, the tool allows users to create live-action, animated, or anime-style videos, customised for platforms like YouTube, Instagram Reels, and LinkedIn. While the platform relies on a pipeline of third-party AI models for this feature, users can edit videos dynamically through additional prompts.
The service is launching under a new subscription model called the Generative Plan, which starts at $120 per month for 15 minutes of video generation, with options to purchase more minutes. Despite being a significant upgrade from InVideo’s earlier offerings, early users have reported inconsistencies in style and quality mid-video. The company has committed to improving the tool over time.
With 4M monthly active users and 7M videos generated in the past month, InVideo continues to appeal to individuals and small businesses rather than large production teams. Supported by Tiger Global and Peak XV Partners, the startup has raised $35M to date and is projected to reach $50M in annual revenue this year, according to co-founder and CEO Sanket Shah.
Leading AI companies are rethinking their approach to large language models as scaling existing methods faces diminishing returns. OpenAI’s latest model, o1, represents a pivotal shift towards human-like problem-solving techniques.
The traditional focus on larger datasets and increased computing power is being reconsidered. Key figures, including former OpenAI co-founder Ilya Sutskever, highlight the plateauing benefits of scaling and call for more innovative methods. Power shortages, data scarcity, and high costs have also hindered the development of superior models like GPT-4.
New approaches like ‘test-time compute’ are gaining traction, enabling AI systems to evaluate multiple solutions before choosing the most suitable one. This advancement enhances model performance without requiring massive increases in computational resources. OpenAI, Google DeepMind, and others are rapidly adopting these techniques, marking a shift in the competitive AI landscape.
These advancements could significantly alter demand in the hardware market, challenging Nvidia’s dominance in AI chips. As AI evolves, companies are competing not only to improve models but also to redefine the tools and techniques shaping the future of artificial intelligence.
The United Kingdom is sending its first trade delegation focused on AI and semiconductors to Kolkata on 18-19 November 2024. Seventeen leading British organisations specialising in technological innovation will take part in the two-day mission.
A key goal is to explore business opportunities in West Bengal and eastern India, fostering partnerships between British companies and Indian stakeholders. The initiative is aimed at bolstering collaboration in AI and semiconductor research, development, and manufacturing, addressing the growing demand in these sectors.
Andrew Fleming, the British Deputy High Commissioner to East and North-East India, expressed enthusiasm for the initiative, highlighting the potential for new partnerships. He emphasised the strengthening ties between the UK and India in the technology sphere, particularly in East and Northeast India, as key drivers for this mission.
Activities during the visit include roundtable discussions, networking events, and Business-to-Business meetings. Organised by the British Deputy High Commission in Kolkata in partnership with NASSCOM and Asterix Innovations, the engagements aim to identify opportunities for collaboration, innovation, and investment, paving the way for expanded cooperation between the UK and India.
Amnesty International has raised significant concerns about the Danish welfare authority, Udbetaling Danmark (UDK), and its partner, Arbejdsmarkedets Tillægspension (ATP), using AI tools in fraud detection for social benefits.
The report condemns what it describes as mass surveillance practices, highlighting the erosion of privacy due to the extensive collection of sensitive data such as residency, citizenship, and family relationships. Amnesty argues that such practices not only compromise individual dignity but also facilitate algorithmic discrimination, particularly through systems like the ‘Really Single’ and ‘Model Abroad’ algorithms. These tools may unfairly target atypical family setups or those with foreign affiliations, further marginalising already vulnerable communities. The psychological impact is severe, with individuals describing the stress of ongoing investigations as living ‘at the end of a gun,’ exacerbating mental distress particularly among people with disabilities.
Why does it matter?
The report points to issues of transparency and accountability, critiquing UDK and ATP for resisting full disclosure of their AI systems and dismissing claims of using a social scoring mechanism without robust justification. It also links these practices to potential violations of international, EU, and Danish commitments to privacy and non-discrimination. Amnesty called for an immediate halt to the use of these algorithms, the prohibition of ‘foreign affiliation’ data in risk assessments, and urged the European Commission to provide clarity on AI practices considered as social scoring, ensuring that human rights are safeguarded amid technological advancements.
Federal Trade Commissioner Melissa Holyoak has called for closer scrutiny of how AI products handle data from younger users, raising concerns about privacy and safety. Speaking at an American Bar Association meeting in Washington, Holyoak questioned what happens to information collected from children using AI tools, comparing their interactions to asking advice from a toy like a Magic 8 Ball.
The FTC, which enforces the Children’s Online Privacy Protection Act, has previously sued platforms like TikTok over alleged violations. Holyoak suggested the agency should evaluate its authority to investigate AI privacy practices as the sector evolves. Her remarks come as the FTC faces a leadership change with President-elect Donald Trump set to appoint a successor to Lina Khan, known for her aggressive stance against corporate consolidation.
Holyoak, considered a potential acting chair, emphasised that the FTC should avoid a rigid approach to mergers and acquisitions, while also predicting challenges to the agency’s worker noncompete ban. She noted that a Supreme Court decision on the matter could provide valuable clarity.
Europe’s largest tech company, ASML, projected an annual sales growth of 8% to 14% over the next five years, driven by strong demand for its advanced chip-making tools amid a global boom in AI. ASML’s CEO Christophe Fouquet highlighted the company’s advanced EUV technology as pivotal in meeting the growing AI demand, positioning the firm well for continued profitability.
Ahead of its investor day in the Netherlands, ASML forecasted revenue between €44 billion and €60 billion by 2030, with stable gross margins between 56% and 60%, reassuring analysts who had been concerned by recent earnings shortfalls. The company’s shares rose by 2.6% in early trading, buoyed by its steady outlook on AI-driven growth despite weaker demand in other chip segments.
ASML faces challenges in China, where US and Dutch export restrictions prevent it from selling its most advanced EUV and certain DUV tools. However, ASML continues to supply older DUV models to Chinese buyers, even as China’s share of ASML’s total sales has dropped significantly.
Indonesia‘s top telecom company, Indosat Ooredoo Hutchison, and tech giant GoTo Gojek Tokopedia launched Sahabat-AI, a new large language model ecosystem designed to support AI-based services in Indonesian languages. This initiative aims to empower local developers to create applications that reflect Indonesia’s diverse languages and cultural nuances.
The Sahabat-AI project is supported by AI Singapore and India’s Tech Mahindra, using Nvidia’s AI Enterprise software and the Nvidia NeMo platform for robust language processing capabilities. Contributions from universities and media groups will further tailor the model to Indonesia’s unique context.
In its initial phase, Sahabat-AI will offer 8-billion and 9-billion parameter models, highlighting Indonesia’s growing AI sector, which has already drawn significant investment interest, including a recent data centre pledge from Microsoft.
Funding for quantum computing has reached unprecedented levels, with startups in the sector securing around $1.5 billion in venture capital through 50 deals in 2024. This amount nearly doubles last year’s $785 million and surpasses the previous record set in 2022. The rise in funding may partly stem from the momentum of AI, which shares significant synergies with quantum technology.
Several high-profile investments have marked 2024. Colorado’s Quantinuum raised $300 million in January, valuing the company at $5 billion. In May, PsiQuantum in California secured a $620 million investment from the Australian government to develop a quantum computer near Brisbane. The United Kingdom’s Riverlane, focused on error correction in quantum systems, raised $75 million in Series C funding in August, adding to the sector’s record-breaking total.
The need for faster, more efficient computing has driven the growth of quantum technology, especially as AI models require immense computing power and energy. Quantum computing, able to perform complex calculations rapidly, is seen as a potential solution to these challenges. Its advantage lies in both speed and energy efficiency, potentially reducing energy needs by as much as 100 times compared to traditional supercomputers.
While AI isn’t the sole reason for quantum’s growing popularity, the two fields are becoming increasingly interconnected. Quantum computing’s applications range from life sciences to navigation, but its potential to enhance AI processing power and reduce energy consumption adds compelling value. As tech giants expand data centres to support AI, quantum technology may see continued interest and investment.
