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Wireless Charging a 2026 Porsche Cayenne Electric

WIRED

Porsche's much-anticipated 2026 EV has charging tech akin to a giant Qi puck. But what happens when Mittens or Fido gets in the way of 11 kilowatts invisibly flying through the air? Yes, it's still a prototype, but Porsche is finally letting people experience what it's next electric car will be like when it hits production next year. We got a briefing on the underpinnings of the new architecture for the Cayenne Electric, peeked at the very fancy finalized interior, and experienced a few hot laps being driven by one of Porsche's professional drivers. However, the highlight was, oddly, none the above, it was getting to try out the Cayenne Electric's party trick and experience exactly how Porsche's wireless charging system works for the EV, and how ridiculously similar the process is to plonking your phone down on a Qi charging puck .


Beware, beachgoers: New spider discovered in California's sand dunes

Popular Science

Environment Animals Wildlife Spiders Beware, beachgoers: New spider discovered in California's sand dunes Breakthroughs, discoveries, and DIY tips sent every weekday. Just in time for Halloween, researchers have identified a new species of trapdoor spider. The newly discovered is about the size of a quarter, brown, and pretty chunky. It's the fourth known species of trapdoor spiders in California whose habitat is limited to sandy coastal dunes. Female trapdoor spiders are basically vampires .


Grotesque model reveals what the average sedentary person could look like by 2050 - with sunken eyes, bald spots, and 'tech neck'

Daily Mail - Science & tech

Distraught illegal migrant shrieks'Help me, I have my papers' as she is arrested by ICE at Salt Lake City airport Hotly-anticipated JonBenet Ramsey drama starring Melissa McCarthy and Clive Owen'will NEVER see the light of day' US plans to BOMB Venezuela as Trump's war hawks brand Maduro'al-Qaeda of the West' Royal insiders tell me Andrew is just the start... and reveal the'bigger unravelling coming next': MAUREEN CALLAHAN Do you have a limited group of close friends, enjoy time alone and find parties draining? You may have a newly discovered rare personality type... take our test to find out We lost 100 lbs without taking'easy way out' Ozempic by using these'traditional' methods: They're simple daily habits... that ended our 1,000-calorie donuts binges for good'I don't think it's all over for Andrew': Mr Mountbatten Windsor's humiliation opens the door for full POLICE probe, royal biographer says - ex-Prince starts first day as a commoner by preparing for eviction from Royal Lodge NORMAN BAKER: Andrew's banishment is a desperate attempt to insulate the monarchy from the far BIGGER scandal everyone's missed. Charles knows the genie's out of the bottle - but it's too late What will happen next for Princesses Beatrice and Eugenie and their royal titles revealed - as both flee the country amid Andrew's final humiliation Airport towers fall eerily silent amid controller crisis as government shutdown drives $4.2B tourism loss for US economy: Live updates FDA warns dentists and parents not to give fluoride to children... as substance is linked to'broad health implications' Devastating new poll shows NYC's socialist mayoral hopeful Zohran Mamdani has opened 25 point lead over centrist Democrat rival Pearl-wearing son of top lawyer'rammed cops in Mercedes G-Wagon'... read the full shocking allegations now set to sully his family's name Total meltdown at CBS as anti-woke new boss Bari Weiss deploys shock and awe tactics: Staff are'running scared'... as insiders reveal what they fear most Actor with towering 7ft stature who starred in iconic Halloween films is seen in LA... can you guess who? It's Meghan's festive fare - with sprinkles of Highgrove! Duchess reveals first Christmas range with startling similarities to the King's Fired CBS News producer claims only'people of color' were booted - and that white co-workers were allowed to transfer elsewhere Grotesque model reveals what the average sedentary person could look like by 2050 - with sunken eyes, bald spots, and'tech neck' Today's culture of convenience means it's easy to order food, take work meetings and connect with friends while sitting on the sofa.


Post Office justice measures could include special stamp for victims

BBC News

Victims of the Horizon Post Office scandal could meet face-to-face with Fujitsu and Post Office representatives as part of a restorative justice effort. The charity overseeing a new scheme said the first five months were an initial pilot phase, but it hoped the scheme would last five years and include extra initiatives such as a special commemorative postage stamp. It comes on top of the various financial compensation schemes in place for sub-postmasters. The Horizon IT scandal saw hundreds of sub-postmasters falsely accused of embezzling Post Office funds after faulty software suggested money was missing from their branch accounts. Children affected by Post Office scandal'should get grants' More than 900 sub-postmasters were wrongly prosecuted because of incorrect information from the Horizon computer system.


Nvidia strikes bumper AI deals with Asia tech giants

BBC News

US chip giant Nvidia will supply more than 260,000 of its most advanced artificial intelligence (AI) chips to South Korea's government, as well as Samsung, LG, and Hyundai. The companies will all deploy the AI chips in factories to make everything from semiconductors and robots to autonomous vehicles and meant that South Korea can now produce intelligence as a new export, chief executive Jensen Huang said. Mr Huang did not disclose the value of the South Korean deals. It caps off a busy week for Nvidia, which on Wednesday became the first company to be valued at $5 trillion and on Thursday saw signs of a thaw in US-China trade relations that may mean it can export more of its chips to China . Speaking at a CEO summit on the sidelines of Asia Pacific Economic Cooperation (Apec) in Gyeongju, South Korea, Mr Huang added that with the chips, companies would be able to create digital twins with other factories around the world.


Russia-Ukraine war: List of key events, day 1,345

Al Jazeera

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? Russia's Ministry of Defence said its forces took control of the villages of Krasnohirske in Ukraine's Zaporizhia region and Sadove in the Kharkiv region, Russian state news agencies reported.


LLMs Process Lists With General Filter Heads

arXiv.org Artificial Intelligence

We investigate the mechanisms underlying a range of list-processing tasks in LLMs, and we find that LLMs have learned to encode a compact, causal representation of a general filtering operation that mirrors the generic "filter" function of functional programming. Using causal mediation analysis on a diverse set of list-processing tasks, we find that a small number of attention heads, which we dub filter heads, encode a compact representation of the filtering predicate in their query states at certain tokens. We demonstrate that this predicate representation is general and portable: it can be extracted and reapplied to execute the same filtering operation on different collections, presented in different formats, languages, or even in tasks. However, we also identify situations where transformer LMs can exploit a different strategy for filtering: eagerly evaluating if an item satisfies the predicate and storing this intermediate result as a flag directly in the item representations. Our results reveal that transformer LMs can develop human-interpretable implementations of abstract computational operations that generalize in ways that are surprisingly similar to strategies used in traditional functional programming patterns.


Toward a Public and Secure Generative AI: A Comparative Analysis of Open and Closed LLMs

arXiv.org Artificial Intelligence

Generative artificial intelligence (Gen AI) systems represent a critical technology with far-reaching implications across multiple domains of society. However, their deployment entails a range of risks and challenges that require careful evaluation. To date, there has been a lack of comprehensive, interdisciplinary studies offering a systematic comparison between open-source and proprietary (closed) generative AI systems, particularly regarding their respective advantages and drawbacks. This study aims to: i) critically evaluate and compare the characteristics, opportunities, and challenges of open and closed generative AI models; and ii) propose foundational elements for the development of an Open, Public, and Safe Gen AI framework. As a methodology, we adopted a combined approach that integrates three methods: literature review, critical analysis, and comparative analysis. The proposed framework outlines key dimensions, openness, public governance, and security, as essential pillars for shaping the future of trustworthy and inclusive Gen AI. Our findings reveal that open models offer greater transparency, auditability, and flexibility, enabling independent scrutiny and bias mitigation. In contrast, closed systems often provide better technical support and ease of implementation, but at the cost of unequal access, accountability, and ethical oversight. The research also highlights the importance of multi-stakeholder governance, environmental sustainability, and regulatory frameworks in ensuring responsible development.


SecureReviewer: Enhancing Large Language Models for Secure Code Review through Secure-aware Fine-tuning

arXiv.org Artificial Intelligence

Identifying and addressing security issues during the early phase of the development lifecycle is critical for mitigating the long-term negative impacts on software systems. Code review serves as an effective practice that enables developers to check their teammates' code before integration into the codebase. To streamline the generation of review comments, various automated code review approaches have been proposed, where LLM-based methods have significantly advanced the capabilities of automated review generation. However, existing models primarily focus on general-purpose code review, their effectiveness in identifying and addressing security-related issues remains underexplored. Moreover, adapting existing code review approaches to target security issues faces substantial challenges, including data scarcity and inadequate evaluation metrics. To address these limitations, we propose SecureReviewer, a new approach designed for enhancing LLMs' ability to identify and resolve security-related issues during code review. Specifically, we first construct a dataset tailored for training and evaluating secure code review capabilities. Leveraging this dataset, we fine-tune LLMs to generate code review comments that can effectively identify security issues and provide fix suggestions with our proposed secure-aware fine-tuning strategy. To mitigate hallucination in LLMs and enhance the reliability of their outputs, we integrate the RAG technique, which grounds the generated comments in domain-specific security knowledge. Additionally, we introduce SecureBLEU, a new evaluation metric designed to assess the effectiveness of review comments in addressing security issues. Experimental results demonstrate that SecureReviewer outperforms state-of-the-art baselines in both security issue detection accuracy and the overall quality and practical utility of generated review comments.


Evaluating the Impact of LLM-Assisted Annotation in a Perspectivized Setting: the Case of FrameNet Annotation

arXiv.org Artificial Intelligence

The use of LLM-based applications as a means to accelerate and/or substitute human labor in the creation of language resources and dataset is a reality. Nonetheless, despite the potential of such tools for linguistic research, comprehensive evaluation of their performance and impact on the creation of annotated datasets, especially under a perspectivized approach to NLP, is still missing. This paper contributes to reduction of this gap by reporting on an extensive evaluation of the (semi-)automatization of FrameNet-like semantic annotation by the use of an LLM-based semantic role labeler. The methodology employed compares annotation time, coverage and diversity in three experimental settings: manual, automatic and semi-automatic annotation. Results show that the hybrid, semi-automatic annotation setting leads to increased frame diversity and similar annotation coverage, when compared to the human-only setting, while the automatic setting performs considerably worse in all metrics, except for annotation time.