Africa
Neanderthals used 'crayons' to color
Science Biology Evolution Neanderthals used'crayons' to color Ancient ochre pigment fragments show that our cousins had an artistic flair. Breakthroughs, discoveries, and DIY tips sent every weekday. Neanderthals are getting a well-deserved scientific rewrite. A growing body of paleoarchaeological evidence indicates that our extinct cousins were far from the lumbering oafs we initially believed them to be. Recent discoveries show the one-time Homo sapien competitors were creative enough to craft stone multitools and even collect small trinkets.
Spinning genocide: How is Israel using US PR firms to frame its Gaza war?
Why did Israel launch air strikes on Gaza? Will the US plan for Gaza fail? 'We survived the war, we may not survive the ceasefire' Spinning genocide: How is Israel using US PR firms to frame its Gaza war? Israel has contracted at least three public relations companies to bolster its image online and among the United States' Christian right, filings under the Foreign Agents Registration Act (FARA) show. According to US Department of Justice records, Israel's Ministry of Foreign Affairs hired the newly established Bridges Partners, the Christian PR agency Show Faith by Works, and the online consultancy Clock Tower X via the European Havas Media Group. Israel is acutely conscious of the need to control how its war, in which it has killed more than 68,000 Palestinians, is perceived by its allies and sponsors in the US .
Verdicts in as Liam Hemsworth takes over as The Witcher
The latest season of Netflix's The Witcher has landed - with one big difference. Former lead actor Henry Cavill has been replaced as main character Geralt of Rivia by Liam Hemsworth. The Australian has stepped in for the final two seasons of the fantasy show, based on a popular series of novels and video games. Previously, British actor Cavill had portrayed the title character, a monster hunter with supernatural abilities known as the White Wolf. When he announced he was passing the torch to Hemsworth in October 2022, describing him as a fantastic actor, not all fans agreed.
Trump-Xi meeting in Busan: Key takeaways from the summit
Trump-Xi meeting: Who has the upper hand? Could Trump go for a third term? Is the US eyeing its next Latin American target? Why is Trump tearing down parts of the White House? United States President Donald Trump and his Chinese counterpart Xi Jinping have agreed to a trade truce under which the US will ease tariffs and Beijing will restart imports of US soya beans, delay the introduction of export restrictions on some of its rare earth metals and intensify efforts to curb illegal fentanyl trafficking.
First UK phones to get satellite connectivity in signal blackspots announced
Virgin Media O2 is set to become the first mobile operator to offer UK customers automatic connectivity via satellite in places without mobile signal. O2 Satellite will be an optional service due to launch in the first half of 2026. The firm has not yet revealed how much it will cost, but it will be an additional fee to pay each month. O2 has partnered with Elon Musk's satellite business Starlink to offer the service. Enabled smartphones will automatically switch to satellite coverage in parts of the UK where there is no terrestrial signal available - for example in rural areas.
Who is Rob Jetten, tipped to become youngest Dutch prime minister?
Who is Rob Jetten, tipped to become youngest Dutch prime minister? Rob Jetten's achievement in dragging his socially liberal D66 party from fifth place to the top of Dutch politics in less than two years has been extraordinary. But politically, all the stars were perfectly aligned for the 38-year-old to do so. The result of Wednesday's election is too close to call, with Jetten vying with anti-Islam populist Geert Wilders for the most seats in parliament. No other political leader commanded as much screen time during the campaign as Jetten and his smile and cheerful message resonated with voters, while his rivals sometimes struggled.
Iti-Validator: A Guardrail Framework for Validating and Correcting LLM-Generated Itineraries
Gadbail, Shravan, Desai, Masumi, Karlapalem, Kamalakar
The rapid advancement of Large Language Models (LLMs) has enabled them to generate complex, multi-step plans and itineraries. However, these generated plans often lack temporal and spatial consistency, particularly in scenarios involving physical travel constraints. This research aims to study the temporal performance of different LLMs and presents a validation framework that evaluates and improves the temporal consistency of LLM-generated travel itineraries. The system employs multiple state-of-the-art LLMs to generate travel plans and validates them against real-world flight duration constraints using the AeroDataBox API. This work contributes to the understanding of LLM capabilities in handling complex temporal reasoning tasks like itinerary generation and provides a framework to rectify any temporal inconsistencies like overlapping journeys or unrealistic transit times in the itineraries generated by LLMs before the itinerary is given to the user. Our experiments reveal that while current LLMs frequently produce temporally inconsistent itineraries, these can be systematically and reliably corrected using our framework, enabling their practical deployment in large-scale travel planning.
Finding Culture-Sensitive Neurons in Vision-Language Models
Zhao, Xiutian, Choenni, Rochelle, Saxena, Rohit, Titov, Ivan
Despite their impressive performance, vision-language models (VLMs) still struggle on culturally situated inputs. To understand how VLMs process culturally grounded information, we study the presence of culture-sensitive neurons, i.e. neurons whose activations show preferential sensitivity to inputs associated with particular cultural contexts. We examine whether such neurons are important for culturally diverse visual question answering and where they are located. Using the CVQA benchmark, we identify neurons of culture selectivity and perform causal tests by deactivating the neurons flagged by different identification methods. Experiments on three VLMs across 25 cultural groups demonstrate the existence of neurons whose ablation disproportionately harms performance on questions about the corresponding cultures, while having minimal effects on others. Moreover, we propose a new margin-based selector - Contrastive Activation Selection (CAS), and show that it outperforms existing probability- and entropy-based methods in identifying culture-sensitive neurons. Finally, our layer-wise analyses reveals that such neurons tend to cluster in certain decoder layers. Overall, our findings shed new light on the internal organization of multimodal representations.
Beyond Models: A Framework for Contextual and Cultural Intelligence in African AI Deployment
While global AI development prioritizes model performance and computational scale, meaningful deployment in African markets requires fundamentally different architectural decisions. This paper introduces Contextual and Cultural Intelligence (CCI) -- a systematic framework enabling AI systems to process cultural meaning, not just data patterns, through locally relevant, emotionally intelligent, and economically inclusive design. Using design science methodology, we validate CCI through a production AI-native cross-border shopping platform serving diaspora communities. Key empirical findings: 89% of users prefer WhatsApp-based AI interaction over traditional web interfaces (n=602, chi-square=365.8, p<0.001), achieving 536 WhatsApp users and 3,938 total conversations across 602 unique users in just 6 weeks, and culturally informed prompt engineering demonstrates sophisticated understanding of culturally contextualized queries, with 89% family-focused commerce patterns and natural code-switching acceptance. The CCI framework operationalizes three technical pillars: Infrastructure Intelligence (mobile-first, resilient architectures), Cultural Intelligence (multilingual NLP with social context awareness), and Commercial Intelligence (trust-based conversational commerce). This work contributes both theoretical innovation and reproducible implementation patterns, challenging Silicon Valley design orthodoxies while providing actionable frameworks for equitable AI deployment across resource-constrained markets.
Trump-Xi meeting: What's at stake and who has the upper hand?
Is the US eyeing its next Latin American target? Why is Trump tearing down parts of the White House? Trump-Xi meeting: What's at stake and who has the upper hand? United States President Donald Trump expects "a lot of problems" will be solved between Washington and Beijing when he meets China's President Xi Jinping in South Korea for a high-stakes meeting on Thursday, amid growing trade tensions between the two. Relations between the two world powers have been strained in recent years, with Washington and Beijing imposing tit-for-tat trade tariffs topping 100 percent against each other this year, the US restricting its exports of semiconductors vital for artificial intelligence (AI) development and Beijing restricting exports of critical rare-earth metals which are vital for the defence industry and also the development of AI, among other issues. On the sidelines of the Asia-Pacific Economic Cooperation (APEC) summit in Gyeongju, South Korea, on Wednesday, Trump said an expected trade deal between China and the US would be good for both countries and "something very exciting for everybody".