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Critics argue that emotion recognition is fundamentally flawed, relying on outdated psychological theories and subjective visual cues that fail to account for cultural and individual differences.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
Taiwan Semiconductor Manufacturing Co (TSMC) is negotiating with Nvidia to produce its Blackwell AI chips at TSMC’s new plant in Arizona, according to insider sources. The Blackwell chips, unveiled in March, are designed for generative AI and accelerated computing, boasting speeds up to 30 times faster for tasks like chatbot responses. Production at the Arizona facility is expected to commence next year.
While TSMC will handle the front-end chip production in Arizona, the chips will require shipment back to Taiwan for essential packaging. Arizona’s plant lacks chip-on-wafer-on-substrate (CoWoS) capacity, which is crucial for Blackwell chips. TSMC currently reserves all CoWoS operations for its Taiwan facilities.
The agreement, if finalised, would expand the client base of TSMC’s Arizona site, which already counts Apple and Advanced Micro Devices among its customers. Neither TSMC nor Nvidia commented on the ongoing discussions, and Apple and AMD have yet to respond to inquiries.
TSMC’s investment in Arizona includes three advanced facilities, supported by US government subsidies aimed at revitalising domestic semiconductor production. The collaboration with Nvidia highlights the increasing global demand for AI chip technology.
Nvidia has signed an agreement with the Vietnamese government to establish an AI research and development centre and a data centre in Vietnam. The partnership aims to advance the country’s AI capabilities and bolster its digital infrastructure. The announcement follows Nvidia’s efforts to strengthen ties with Vietnam’s tech sector.
The deal was formalised during a meeting in Hanoi attended by Nvidia CEO Jensen Huang and Vietnamese Prime Minister Pham Minh Chinh. While financial details remain undisclosed, the collaboration aligns with Vietnam’s aspirations to use AI for clean energy and sustainable development.
Nvidia also revealed its acquisition of healthcare startup VinBrain, part of s Vingroup in Vietnam, although the transaction’s value was not disclosed. Earlier this year, Vietnamese tech giant FPT announced plans to build a $200 million AI factory leveraging Nvidia’s technology.
Prime Minister Chinh expressed Vietnam’s ambition to lead in AI and integrate it into clean energy projects, aiming to harness natural resources like wind and solar power.
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.
OpenAI has launched ChatGPT Pro, a premium version of its chatbot priced at $200 per month, designed for engineering and research applications. The new subscription tier joins the company’s existing lineup, including ChatGPT Plus, Team, and Enterprise, signalling OpenAI’s drive to broaden its technology’s industry adoption.
ChatGPT Pro offers users cutting-edge tools like OpenAI’s o1 reasoning model, o1 mini, GPT-4o, and an advanced voice interface. It also includes o1 pro mode, a high-performance feature utilising extra computational power to tackle complex queries, making it especially valuable for technical professionals.
According to OpenAI, o1 pro mode significantly outperforms earlier iterations like o1 and o1-preview on benchmarks for tasks in mathematics, science, and coding. This launch underscores OpenAI’s commitment to delivering sophisticated AI solutions tailored to specialised and demanding fields.
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.
