AI startup Perplexity has expanded its publisher partnerships, adding media outlets such as the Los Angeles Times and The Independent. These new partners will benefit from a program that shares ad revenue when their content is referenced on the platform. The initiative also provides publishers with access to Perplexity’s API and analytics tools, enabling them to track content performance and trends.
The program, launched in July, has attracted notable partners from Japan, Spain, and Latin America, including Prisa Media and Newspicks. Existing collaborators include TIME, Der Spiegel, and Fortune. Perplexity highlighted the importance of diverse media representation, stating that the partnerships enhance the accuracy and depth of its AI-powered responses.
Backed by Amazon founder Jeff Bezos and Nvidia, Perplexity aims to challenge Google’s dominance in the search engine market. The company has also begun testing advertising on its platform, seeking to monetise its AI search capabilities.
Perplexity’s growth has not been without challenges. It faces lawsuits from News Corp-owned publishers, including Dow Jones and New York Post, over alleged copyright violations. The New York Times has also issued a cease-and-desist notice, demanding the removal of its content from Perplexity’s generative AI tools.
Cohere, a Canadian AI startup valued at $5.5 billion, is shifting its focus to developing customised AI models for businesses. Co-founder Nick Frosst explained that enterprise users prefer models tailored to specific use cases rather than larger, general-purpose ones. The company aims to refine its approach by prioritising model deployment and customisation over simply increasing model sizes.
Although Cohere will continue building foundation models, it plans to invest in training techniques to improve functionality. The startup has secured over $900 million in funding from major investors like Nvidia, Cisco, and Innovia Capital. Unlike some competitors, Cohere positions itself as an independent player, working with clients such as Oracle and Fujitsu to design models for their unique requirements.
The AI industry, once focused on scaling up models, now faces diminishing returns from increasing model size. As large language model advancements plateau, Cohere’s customised approach offers a more efficient and cost-effective solution. Frosst highlighted that this strategy aligns with the company’s enterprise-centric vision and avoids reliance on speculative breakthroughs in artificial general intelligence.
By concentrating on tailored AI solutions, Cohere aims to enhance real-world applications for its enterprise clients. This strategy positions the startup as a competitive alternative to larger AI labs such as OpenAI and Anthropic.
Google’s newest AI, the PaliGemma 2 model, has drawn attention for its ability to interpret emotions in images, a feature unveiled in a recent blog post. Unlike basic image recognition, PaliGemma 2 offers detailed captions and insights about people and scenes. However, its emotion detection capability has sparked heated debates about ethical implications and scientific validity.
Critics argue that emotion recognition is fundamentally flawed, relying on outdated psychological theories and subjective visual cues that fail to account for cultural and individual differences. Studies have shown that such systems often exhibit biases, with one report highlighting how similar models assign negative emotions more frequently to certain racial groups. Google says it performed extensive testing on PaliGemma 2 for demographic biases, but details of these evaluations remain sparse.
Experts also worry about the risks of releasing this AI technology to the public, citing potential misuse in areas like law enforcement, hiring, and border control. While Google emphasises its commitment to responsible innovation, critics like Oxford’s Sandra Wachter caution that without robust safeguards, tools like PaliGemma 2 could reinforce harmful stereotypes and discriminatory practices. The debate underscores the need for a careful balance between technological advancement and ethical responsibility
A to-do list app, Twos, is rethinking productivity with AI-driven features that go beyond simple task tracking. Instead of just helping users organise tasks, Twos offers actionable suggestions to help complete them. For instance, writing ‘Buy paper napkins’ prompts the app to suggest links to online stores like Amazon or Walmart. Planning a birthday? Twos might remind you to add a calendar event, send a message, or purchase a gift card.
Launched in 2021 by former Google engineer Parker Klein and Joe Steilberg, Twos integrates with 27 apps, including Spotify, Uber Eats, Google Maps, and Ticketmaster. While the app currently leans on US-centric services, plans for better localisation aim to broaden its appeal. Available across Android, iOS, and the web, Twos is free, with optional premium features like custom sorting and templates priced at $2 each.
Beyond task suggestions, Twos introduced an AI assistant for list creation last year, positioning itself in the growing market of AI-powered productivity tools. The app now boasts over 25,000 active users and emphasises intuitive, energy-efficient design. While other apps like Hypelist compete in this space, Twos’ holistic approach could redefine how we manage daily tasks.
Microsoft has introduced Copilot Vision, an AI-powered feature available in a limited US preview for users of Microsoft Edge. This experimental tool, part of the Copilot Labs program, can read web pages to answer user queries, summarise and translate content, and even assist with tasks like finding discounts or offering gaming tips. For example, it can provide recipes from a cooking site or strategic advice during an online chess game.
To address privacy concerns, Microsoft emphasises that Copilot Vision deletes all processed data at the end of each session and does not store information for model training. The feature is initially restricted to a pre-approved list of popular websites, excluding sensitive or paywalled content, though Microsoft plans to expand compatibility over time.
Microsoft’s cautious rollout reflects ongoing efforts to balance innovation with publisher concerns over AI’s use of web data. The company is collaborating with third-party publishers to ensure the tool benefits users without compromising website content or functionality.
Broadcom has announced breakthrough technology aimed at accelerating custom chip performance in response to rising demand for generative AI infrastructure. The innovation, known as 3.5D XDSiP, enhances memory integration and speeds up processing by directly linking critical components. Developed in collaboration with TSMC, the technique uses advanced packaging methods, including chip-on-wafer-on-substrate, which remains a bottleneck in AI chip supply chains.
The California-based chipmaker has positioned itself as a key player in the AI hardware market, supplying custom processors to cloud providers looking to diversify beyond Nvidia’s pricier options. Although Broadcom has not disclosed its partners, industry experts suggest that major companies like Google and Meta are among its clients.
Broadcom’s CEO, Hock Tan, stated in September that the company expects AI revenue to reach $12 billion in fiscal year 2024, reflecting a significant increase from earlier forecasts. Five products using the 3.5D XDSiP technology are currently in development, with production shipments planned for early 2026.
The custom chip market, valued at $45 billion by 2028, is set to be dominated by Broadcom and rival Marvell. Analysts predict continued growth for both companies as AI infrastructure demand expands globally.
Tamar Eilam, a leading scientist at IBM, is pushing boundaries in sustainable computing. With 24 years at the company, she serves as an IBM fellow and chief scientist for sustainable computing, tackling one of AI’s most pressing challenges its immense energy consumption. Eilam’s work includes spearheading projects like Kepler, an open-source tool that quantifies the energy usage of applications, helping teams adopt greener AI practices.
AI’s energy demands are staggering, with reports showing that a single ChatGPT search consumes ten times more electricity than a typical Google search. Eilam envisions AI as a double-edged sword—capable of aiding sustainability efforts like decarbonising power grids while also requiring extensive resources to function. To address these issues, her team focuses on efficient AI training methods, high-quality data use, and platform optimisations to reduce resource drain.
Eilam advocates for transparency and trust in AI development. IBM’s approach ensures energy-efficient models, like its Granite line, while addressing intellectual property concerns with verifiable data sources. She also highlights the need for startups and companies to prioritise openness about energy impacts and guardrails to prevent misuse.
Beyond technical achievements, Eilam is a vocal advocate for gender diversity in AI. She emphasises breaking unconscious biases and encourages women to persist in leadership roles. Her passion for merging climate solutions with cutting-edge technology continues to shape sustainable computing innovations.
Italian startup iGenius and Nvidia are teaming up to launch one of the largest deployments of Nvidia’s advanced servers by mid-2025. The ‘Colosseum’ data centre in southern Italy will house around 80 GB200 NVL72 servers, each powered by 72 of Nvidia’s latest Blackwell chips, enabling unprecedented AI computing capabilities.
iGenius, a European AI unicorn with over €650 million in funding this year, specialises in open-source AI models for industries like banking and healthcare, prioritising strict data security. The Colosseum system will leverage Nvidia’s tools, including the NIM software platform, to simplify AI model distribution for businesses using Nvidia hardware.
Nvidia executives lauded the partnership, with VP Charlie Boyle highlighting its scale and uniqueness. Multiple Nvidia teams are working closely with iGenius to bring the cutting-edge system online, marking a significant milestone in AI infrastructure development.
The US-China tech export war is intensifying as both nations continue pushing their antagonistic agendas to curb the other’s technological advancements. As expected, trade tensions between the USA and China are escalating again in the semiconductor sector as four top Chinese industry associations have recently warned against purchasing US chips, claiming they are ‘no longer safe’ and threaten national security principles. The Chinese associations, representing major industries from telecommunications to the digital economy, have opted for a considerable change in the mindset of Chinese businesses. They are now advised to consider non-US suppliers to safeguard their operations and reduce reliance on US technology.
The industry associations’ response follows the latest US crackdown, targeting China’s semiconductor industry. The new restrictions, introduced by the US Department of Commerce, extend to 140 Chinese companies and cover a broad range of products, including critical semiconductor equipment and high-bandwidth memory used in AI chip development. These measures aim to limit China’s access to advanced technologies essential for its military modernisation and AI capabilities, with the Biden administration labelling the restrictions necessary for US national security.
However, Beijing is far from passive in this ‘tech conflict’. Chinese authorities have been ramping up retaliatory measures in response to the curbs. One of the most notable moves came last year when China blocked US chipmaker Micron from some government purchases following a failed security review. Similar scrutiny has been directed at other US tech giants like Intel, with significant revenue from China. Furthermore, China has increasingly turned to its ‘unreliable entity list’ to target US firms, such as PVH Corp, probed for complying with US sanctions on Xinjiang cotton, showing China’s determination to impose economic and market barriers on American companies.
China has also used its control over rare earth materials as leverage, imposing export restrictions on critical elements like gallium, germanium, and antimony. These materials are vital for semiconductor manufacturing and military applications, and their abundance means China’s strategic advantage in global supply chains. In addition to the listed, the recent imposition of new export controls on dual-use technologies to US military users or for military purposes further underscores China’s strategy to regulate products that have both civilian and military applications. The change in course aims to secure China’s rise and dominance in these sectors and limit US access to critical technologies needed for advanced military and AI applications.
Amid these tensions, the semiconductor sector has become a focal point of a global power struggle. The USA has restricted the sale of advanced chipmaking equipment to China, focusing mainly on equipment from US-based companies such as Lam Research and Applied Materials and European suppliers like ASML. While China has made strides toward becoming more self-sufficient in semiconductor manufacturing, the US curbs continue to impact China’s access to cutting-edge equipment and expertise essential for advancing its chip technology. Despite the setbacks, Chinese companies, such as Empyrean and Nata Opto-Electronic, have been building equipment stockpiles and pushing for greater localisation to mitigate the effects of the sanctions.
The expanding reach of US export controls also affects global partners, including Japan and the Netherlands, which supply critical chipmaking equipment to China. While Japan and the Netherlands have been exempt from some of the curbs, their involvement in the US rules still limits the scope of their exports to China. However, the USA seems quick to monitor and enforce these regulations, further entangling allies in the conflict.
The conclusion is that the escalating tech conflict between the USA and China provokes deepening concerns in the two governments about data security, military supremacy, and leadership in critical areas like AI and semiconductors. With both countries fiercely safeguarding their strategic priorities, this tech rivalry is poised to reshape global supply chains, innovation landscapes, and the overall power dynamics in the tech sector, undoubtedly influencing the world economy for years to come.
New export restrictions will ignite global trade tensions.
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Former PayPal COO David Sacks has been named as President-elect Donald Trump’s advisor on cryptocurrency and AI policy. Trump announced the appointment on Truth Social, stating Sacks would focus on creating a legal framework to support the US cryptocurrency industry and foster growth.
Sacks, a prominent venture capitalist and co-founder of Yammer, has been a longtime advocate for cryptocurrencies, describing them as aligning with PayPal’s original vision of a ‘database of money.’ His firm, Craft Ventures, has invested in major startups like SpaceX and Reddit.
While Sacks’ cryptocurrency stance is clear, his approach to AI policy remains less defined. However, his deregulatory leanings suggest a shift from the stricter policies of the outgoing Biden administration.
