Large Language Models (LLMs) distinguish themselves by quickly delivering information and providing personalized responses through natural language prompts. However, they also infer user demographics, which can raise ethical concerns about bias and implicit personalization and create an echo chamber effect. This study aims to explore how inferred political views impact the responses of ChatGPT globally, regardless of the chat session. We also investigate how custom instruction and memory features alter responses in ChatGPT, considering the influence of political orientation. We developed three personas (two politically oriented and one neutral), each with four statements reflecting their viewpoints on DEI programs, abortion, gun rights, and vaccination. We convey the personas' remarks to ChatGPT using memory and custom instructions, allowing it to infer their political perspectives without directly stating them. We then ask eight questions to reveal differences in worldview among the personas and conduct a qualitative analysis of the responses. Our findings indicate that responses are aligned with the inferred political views of the personas, showing varied reasoning and vocabulary, even when discussing similar topics. We also find the inference happening with explicit custom instructions and the implicit memory feature in similar ways. Analyzing response similarities reveals that the closest matches occur between the democratic persona with custom instruction and the neutral persona, supporting the observation that ChatGPT's outputs lean left.

We introduce POLIS-Bench, the first rigorous, systematic evaluation suite designed for LLMs operating in governmental bilingual policy scenarios. Compared to existing benchmarks, POLIS-Bench introduces three major advancements. (i) Up-to-date Bilingual Corpus: We construct an extensive, up-to-date policy corpus that significantly scales the effective assessment sample size, ensuring relevance to current governance practice. (ii) Scenario-Grounded Task Design: We distill three specialized, scenario-grounded tasks -- Clause Retrieval & Interpretation, Solution Generation, and the Compliance Judgmen--to comprehensively probe model understanding and application. (iii) Dual-Metric Evaluation Framework: We establish a novel dual-metric evaluation framework combining semantic similarity with accuracy rate to precisely measure both content alignment and task requirement adherence. A large-scale evaluation of over 10 state-of-the-art LLMs on POLIS-Bench reveals a clear performance hierarchy where reasoning models maintain superior cross-task stability and accuracy, highlighting the difficulty of compliance tasks. Furthermore, leveraging our benchmark, we successfully fine-tune a lightweight open-source model. The resulting POLIS series models achieves parity with, or surpasses, strong proprietary baselines on multiple policy subtasks at a significantly reduced cost, providing a cost-effective and compliant path for robust real-world governmental deployment.

This paper examines the role of public interest litigation in promoting accountability for AI and automated decision-making (ADM) in Australia. Since ADM regulation faces geopolitical headwinds, effective governance will have to rely at least in part on the enforcement of existing laws. Drawing on interviews with Australian public interest litigators, technology policy activists, and technology law scholars, the paper positions public interest litigation as part of a larger ecosystem for transparency, accountability and justice with respect to ADM. It builds on one participant's characterisation of litigation about ADM as an exercise in legal retrofitting: adapting old laws to new circumstances. The paper's primary contribution is to aggregate, organise and present original insights on pragmatic strategies and tactics for effective public interest litigation about ADM. Naturally, it also contends with the limits of these strategies, and of the Australian legal system. Where limits are, however, capable of being overcome, the paper presents findings on urgent needs: the enabling institutional arrangements without which effective litigation and accountability will falter. The paper is relevant to law and technology scholars; individuals and groups harmed by ADM; public interest litigators and technology lawyers; civil society and advocacy organisations; and policymakers.

Pre-trained Time Series Foundational Models (TSFMs) represent a significant advance, capable of forecasting diverse time series with complex characteristics, including varied seasonalities, trends, and long-range dependencies. Despite their primary goal of universal time series forecasting, their efficacy is far from uniform; divergent training protocols and data sources cause individual TSFMs to exhibit highly variable performance across different forecasting tasks, domains, and horizons. Leveraging this complementary expertise by arbitrating existing TSFM outputs presents a compelling strategy, yet this remains a largely unexplored area of research. In this paper, we conduct a thorough examination of how different TSFMs exhibit specialized performance profiles across various forecasting settings, and how we can effectively leverage this behavior in arbitration between different time series models. We specifically analyze how factors such as model selection and forecast horizon distribution can influence the efficacy of arbitration strategies. Based on this analysis, we propose Synapse, a novel arbitration framework for TSFMs. Synapse is designed to dynamically leverage a pool of TSFMs, assign and adjust predictive weights based on their relative, context-dependent performance, and construct a robust forecast distribution by adaptively sampling from the output quantiles of constituent models. Experimental results demonstrate that Synapse consistently outperforms other popular ensembling techniques as well as individual TSFMs, demonstrating Synapse's efficacy in time series forecasting.

Booth is a reporter at TIME. Booth is a reporter at TIME. Jimmy Wales describes himself as a "pathological optimist." And yet, when the co-founder of Wikipedia spoke with TIME in October, he still seemed somewhat surprised that his online encyclopedia actually worked. "Wikipedia is very trusting, in a way that always seemed a bit crazy," Wales says.

Meghan Markle and Prince Harry lead star parade at Kris Jenner's 70th birthday bash held at Jeff Bezos' $165M mansion in Beverly Hills Trumpworld fumes at Democrats' affordability'con job' as insiders rush to save sinking presidency Dark side of Danielle Bernstein: She is America's most hated influencer... but now insiders reveal claims of behavior so outrageous they'kind of respect her' for getting away with it Hollywood's hooked on a new'fountain of youth' drug. It erases wrinkles, boosts libido and stops hair loss... but has terrifying side-effects: JILLIAN MICHAELS Defiant Joe Biden goes scorched earth on Donald Trump over White House demolition: 'Who in the hell does he think he is?' Insiders reveal yet more'trauma' after star's dangerous driving and say she is'close to going nuclear'... as she falls into'very protective' arms of male friend Sordid truth about night seven ladyboys'beat up' Luigi Mangione after visit to Thai sex bar: Texts and photos revealed in tell-all The ugly gossip about Marjorie Taylor Greene swirling in DC... no wonder she's giving this'nothing to see here' performance of a lifetime: KENNEDY SNL sketch mocking Oval Office medical emergency slammed as'heartless' and'uncomfortably cringe' Flabbergasting views of New York City's next First Lady, 28, laid bare in the hipster artist's work My son tried the trendy $1 'chill pill' taken by 1.7m Americans and sold in gas stations... he never woke up. Here's what they don't tell you Jimmy Kimmel's wife'felt betrayed by Trump voting family members' after her comic husband was pulled from the air Insiders blow lid on top secret actor'blacklist' at Paramount that's tearing Hollywood apart and start naming names KELLYANNE CONWAY: This week's elections were a referendum on President Trump... but not for the reason you think TikTok star accused in $3.5 million lawsuit of stealing her husband from his ex-wife Upstate city with small-town charm is one of the best places to live in America... but it will cost you Meghan has always been a terrible actress... but watch the moment she catches Harry completely off guard. It tells you everything about what's next: MAUREEN CALLAHAN'It's not the 60+ days of Christmas!' Exasperated Brits blast John Lewis, Coca-Cola, and Argos for releasing their ads almost two months before the big day - as experts warn prolonged buildup can spark'festive burnout' This year, brands like John Lewis, Coca-Cola, and Argos have rushed to get their Christmas adverts out almost two months ahead of the big day. You might think that this would help us to get excited for Santa's arrival.

Things to Do in L.A. Tap to enable a layout that focuses on the article. After deciding in 2018 that she wanted to study law, Kim Kardashian has failed the California bar exam on her first attempt. This is read by an automated voice. Please report any issues or inconsistencies here . Shapewear mogul Kim Kardashian announced Saturday that she has failed the California bar exam, seven years after embarking on her law studies.

'A predator in your home': Mothers say chatbots encouraged their sons to kill themselves Megan Garcia had no idea her teenage son Sewell, a bright and beautiful boy, had started spending hours and hours obsessively talking to an online character on the Character.ai It's like having a predator or a stranger in your home, Ms Garcia tells me in her first UK interview. And it is much more dangerous because a lot of the times children hide it - so parents don't know. Within ten months, Sewell, 14, was dead. He had taken his own life.

The months since leaving the White House have shown that Musk has failed to abandon his political preoccupations. The months since leaving the White House have shown that Musk has failed to abandon his political preoccupations. The Tesla CEO once hinted he was done with politics - but he's been leaning further into the international far right When the far-right activist Tommy Robinson emerged from a London courtroom this week after a judge cleared him of a terrorism charge, he gave thanks to the man he said had bankrolled his defense. If you didn't step in and fund my legal fight I'd probably be in jail," Robinson said. In the period immediately after Musk's messy departure from the White House, the Tesla CEO repeatedly suggested that he was done with politics. Investors who had pushed him to refocus on his businesses were delighted. The months since, however, have proved that Musk has failed to abandon his political preoccupations. He has done the opposite, veering further into ...

Welcome to Big Tech's'Age of Extraction' In his new book, antitrust scholar and former White House adviser Tim Wu argues that tech giants are bleeding you dry--and lays out a plan to stop them. Growing up in Toronto, Tim Wu had a classmate who was the progeny of Communist parents. His name was Cory Doctorow. Yes, the same guy who just published a book about enshittification . Though they shared a general world view, the boyhood pals also had arguments, with Wu typically taking a less radical stance than his buddy.