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ArXiv Machine Learning
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LLT: Local Linear Transformer for PDE Operator Learning

By Oded Ovadia, Eli Turkel

arXiv:2607.07718v1 Announce Type: new Abstract: Neural operators have become a common approach for learning PDE solution maps and accelerating numerical simulations. Transformer-based neural operators are of particular interest, since attention can learn long-range dependencies in the computational domain. However, standard attention has two major limitations when applied to PDEs: it scales quadratically with the number of computational nodes, and it lacks an explicit bias toward local interactions. To address these issues, we introduce Local Linear Transformer (LLT) for PDE operator learning. The architecture combines linear global attention with local spatial mixing, and incorporates coordinate and geometry information. We evaluate LLT on several PDE problems, including elasticity, plasticity, airfoil flow, pipe flow, and Darcy flow. The reference data for these problems span finite-element, finite-volume, and finite-difference discretizations on structured and unstructured meshes. Compared with other neural-operator and transformer baselines from prior studies, LLT achieves competitive or lower relative $L_2$ error across these problems. On matched structured discretizations, wall-clock time per training iteration is reduced by factors of 1.8 to 2.5 relative to Transolver. We also scale the approach and apply it to a three-dimensional car aerodynamics dataset with 32,186 unstructured mesh points per sample. Together, these results indicate that LLT provides an accurate and computationally efficient operator for PDE problems across discretizations, mesh types, and problem settings.

ArXiv Machine Learning
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Who Gets Missed in the Tail? Thresholded Subgroup Underdiagnosis in Long-Tailed Chest X-ray Classification

By Ha-Hieu Pham, Hai-Dang Nguyen, Dang P. M. Cao, Thanh-Huy Nguyen, Min Xu, Trung-Nghia Le, Ulas Bagci, Huy-Hieu Pham

arXiv:2607.07717v1 Announce Type: new Abstract: In chest X-ray (CXR) classification, acceptable ranking performance can still leave rare-positive patients below threshold, especially within subgroups. We study this pre-deployment fairness problem as an audit question: after a long-tailed multi-label CXR model is converted from scores into decisions, who is missed? Across VinDr-CXR and MIMIC-CXR/CXR-LT, we use a diagnostic ladder to separate class-level long-tail losses, subgroup-aware weighting, group robustness, and threshold selection. On VinDr-CXR, group-tail weighting followed by tail-aware thresholding reduces tail FNR from 0.665 to 0.269, sex worst-group FNR from 0.705 to 0.157, and age worst-group FNR from 0.822 to 0.133, while macro-mAP increases from 0.611 to 0.635. On MIMIC-CXR/CXR-LT, the same score-to-threshold comparison reduces tail FNR from 0.866 to 0.741 and lowers worst-group FNR across sex, age, race, and insurance; residual missed-positive rates nevertheless remain high. Paired bootstrap contrasts on VinDr support the thresholded FNR reductions, and GroupDRO reference runs indicate that aggregate group robustness alone does not remove rare subgroup misses in this setting. The study supports a narrow audit claim: rare-label fairness in CXR depends jointly on the finding, subgroup, and operating threshold, not on label frequency or ranking metrics alone.

ArXiv Computer Vision
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LOGOS: Language-guided Oriented Object Detection in Aerial Scenes

By Trong-Thuan Nguyen, Minh-Triet Tran

arXiv:2607.08004v1 Announce Type: new Abstract: Object detection in geospatial scenes, such as satellite and aerial imagery, poses significant challenges due to the varying orientations and densities of objects, as well as the complex backgrounds inherent to remote sensing imagery. Traditional methods for oriented object detection have struggled to address issues such as angular discontinuity, fixed query sizes, and inefficiencies in handling sparse or cluttered scenes. In this paper, we propose LOGOS, a novel transformer-based approach that leverages textual prompts to guide the detection of oriented objects in aerial scenes. In particular, our proposed approach incorporates prompt-modulated content queries to dynamically adjust the model's focus based on the provided text, thereby improving object detection accuracy in complex environments. Empirically, extensive experiments on the DOTA dataset demonstrate that LOGOS outperforms existing state-of-the-art methods, particularly in densely packed and rotated object scenarios. Our approach offers a significant step forward in improving the robustness and scalability of oriented object detection in remote sensing applications.

ArXiv Machine Learning
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SHIFT: Survival Prediction from Incomplete and Heterogeneous Genomic Data

By Muhammet Sami Yavuz, Ayhan Can Erdur, Sabri Mustafa Kahya, Benedikt Wiestler, Jana Lipkova

arXiv:2607.07725v1 Announce Type: new Abstract: Genomic prediction models often fail to transfer across institutions because sequencing panels differ across sites, creating structural feature missingness at deployment. Existing approaches to this challenge typically restrict analysis to genes shared across cohorts, exclude patients with incomplete profiles, or rely on test-time imputation, all of which can reduce robustness and limit the use of multi-center data. We propose Survival prediction Handling Incomplete Features using Transformer (SHIFT), a missingness-aware survival model that directly predicts from incomplete genomic inputs without test-time imputation. SHIFT represents each genomic feature separately and uses masked self-attention, along with a feature-availability mask, so that predictions are based only on observed inputs. Further, we introduce variable-rate feature masking during training to improve robustness to heterogeneous missingness patterns. We evaluate the approach on glioblastoma and lung squamous cell carcinoma with external validation across multiple cohorts, including a challenging setting with severe cross-cohort panel mismatch. Across these settings, SHIFT shows strong generalization and compares favorably with standard survival baselines and imputation-based approaches, while using a single model across differing feature sets. We also find that incorporating patients from incomplete cohorts during development can improve performance on external data, suggesting that partially observed cohorts need not be excluded from model building. These results support missingness-aware modeling as a practical strategy for multi-center survival prediction in precision oncology.

Techmeme
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Mike Wheatley / SiliconANGLE: Oxylabs, which develops web data scraping infrastructure, received a $130M investment at a $3.6B valuation from Warburg Pincus, its first outside investment  —  Data scraping startup Oxylabs UAB has broken into unicorn territory after raising $130 million in funding from the private equity firm Warburg Pincus LLC.

SiliconANGLE Big Data
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Data scraping startup Oxylabs UAB has broken into unicorn territory after raising $130 million in funding from the private equity firm Warburg Pincus LLC. The round is the first time the bootstrapped company has ever sought outside funding, and lifts its valuation to a cool $3.6 billion, it said today. The Lithuanian startup provides artificial […] The post Web data scraping infrastructure startup Oxylabs reels in $130M in its first funding round appeared first on SiliconANGLE.

The Conversation AI
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Australia’s government has woken up to the risks of AI. More ambition is needed

By Kimberlee Weatherall, Professor of Law, University of Sydney

Chris Rogers/Getty Images This week, Andrew Charlton, the federal assistant minister for science and technology, issued a stark warning about artificial intelligence (AI). Speaking at the AI Safety Forum at the University of Sydney, he said powerful AI models “are already doing things their creators never intended: cheating, deceiving, going their own way”. In response, the Australian government has established the AI Safety Institute under its National AI Plan. Charlton described it as “a national testing capability” and provided the most detailed public account yet of the work it will do. But will it be enough to keep Australians safe from what could be one of the most powerful, rapidly advancing technologies the world has known? The harms are already here AI’s risks and harms are already affecting Australians. There are the problems we are already seeing today: nudify apps, more sophisticated scams and deepfakes, voice cloning, chatbots that have isolated teens and encouraged harms, and heightened cybersecurity risks that are alarming our security agencies. Beyond immediate and present harms, experts are sounding the alarm about what’s coming. This includes rapidly expanding capabilities and agentic AI that we don’t yet have controls for. In a report published last week, the United Nations’ Independent International Scientific Panel on AI also raised concerns about global concentration of power, resources, AI capability, inequality, and the technology’s impact on how we think, reason and work. A significant remit The AI Safety Institute has three broad tasks, as Andrew Charlton explained at this week’s forum. First, analysing and testing new models. Second, supporting government regulators and agencies to respond to emerging AI capabilities, risks, harms and trends. Third, shaping safe AI development, deployment and international governance in Australia’s interests. It is already doing work on multi-agent risks with the Gradient Institute. You’ve probably already heard about AI agents that can book your table at a restaurant or plan your travel. The basic idea of an AI agent is an AI system that can plan and take action with limited supervision (for longer and longer periods too). When AI agents interact with each other without supervision, unpredictable risks can arise. The AI Safety Institute is also working with the CSIRO on AI alignment – the science of trying to ensure that AI systems (and AI agents) act in ways that are aligned with their users’ values and goals. This matters because at this stage, we cannot fully predict how AI will act. There are plenty of experiments in which AI has deceived users or avoided human-imposed controls, even detecting (and underperforming) when it is being tested. The head of the AI Safety Institute, philosopher and Royal Australian Air Force reservist Kate Conroy, also spoke at this week’s forum. She outlined plans to take on both immediate harms affecting Australians, with attention to those affecting the most marginalised and vulnerable, as well as frontier risks and harms. So much to do The creation of the institute is a critical step towards Australia taking the impacts of AI seriously. But given the speed of AI development, and the range of issues that are emerging, it would be fair to ask whether its budget of A$29.4 million over four years is enough. By contrast, the United Kingdom allocated around A$460 million in its 2025 spending review to the its AI Security Institute. Singapore’s AI Safety Institute has an annual budget of around A$11 million a year. Canada has allocated around A$50 million over five years to its AI Safety Institute. All these budgets look insignificant next to industry spending. OpenAI alone sunk US$19 billion into research and development in 2025. Proposals that the Australian institute’s budget should be significantly higher were strongly supported at this week’s AI Safety Forum. The unequal impacts of AI and its huge potential to increase inequality, as highlighted by the UN’s new report, further highlight the fact there is much more work to do. Two promising next steps would be to legislate a digital duty of care, to help address some AI-supercharged online harms, and to address digital exclusion to ensure all Australians can benefit from AI. The Tech Policy Design Institute’s recent assessment also highlights Australia’s strengths but also key needs in areas such as securing computing power for research and public interest activities. This would ensure Australia can maintain its position in research, and that the public sector and civil society don’t fall behind the rest of the world. Broadening the conversation The conversation about AI, the opportunities it presents for society, and the impacts it will have needs to be much broader. We must consider a wider set of actions if we’re going to really address Australia’s low levels of trust in AI and keep people safe from the technology’s many potential harms. With reports of a change in approach from the government, perhaps that’s coming. As multiple speakers highlighted at the AI Safety Forum, Australia has a perhaps unique opportunity to make a difference. We have extraordinarily skilled AI safety researchers as well as people working on social impacts, as well as a societal and moral imperative to address the risks and opportunities of AI for all Australians. Kimberlee Weatherall is a Chief Investigator with the ARC Centre of Excellence for Automated Decision Making & Society, funded by the Australian Research Council and a range of partner organisations, and Co-Director of the University of Sydney's Centre for AI, Trust and Governance, which receives funding from a range of sources as declared on the Centre's website, including IBM and Google. She is also a member of Australia's Open Government Partnership Forum. Kimberlee is an honorary Fellow with the Gradient Institute, and was a member of the organising committee for the 2026 Australian AI Safety Forum.

Techmeme
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Boone Ashworth / Wired: 1X says its humanoid robot Neo's five-fingered hands have tendon-style actuators that give it 25 degrees of freedom of movement, nearly the same as a human hand  —  The soft, weirdly sexualized home-chore robot has been given some very tactile hands.  —  Friendly home robots have been the dream of sci-fi for a long time.

Simon Willison Weblog
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Quoting OpenAI

<blockquote cite="https://help.openai.com/en/articles/20001275-chatgpt-work-and-codex"><p>[...] Work on web and mobile runs in the cloud. Work in the desktop app can also use local files and desktop apps with your permission. At launch, cloud Work conversations do not appear in desktop Work; desktop Work threads and local files remain on that computer.</p></blockquote> <p class="cite">&mdash; <a href="https://help.openai.com/en/articles/20001275-chatgpt-work-and-codex">OpenAI</a>, trying (unsuccessfully) to clarify ChatGPT Work</p> <p>Tags: <a href="https://simonwillison.net/tags/openai">openai</a>, <a href="https://simonwillison.net/tags/chatgpt">chatgpt</a>, <a href="https://simonwillison.net/tags/ai">ai</a></p>

Techmeme
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Rose Horowitch / The Atlantic: How the internet, smartphones, social media, and now generative AI are accelerating a drop in the reading of longer works like books  —  twenty-three hundred years ago, the legend goes, King Ptolemy I of Egypt asked his court adviser to assemble a comprehensive collection of the world's written works.

Business Insider
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Kevin Dietsch/Getty Images Billionaires and CEOs are converging in Idaho for the Allen & Co. conference this week. AI and media consolidation are expected to be hot topics at the off-the-record conference. Notable attendees include executives from Warner Bros., GM, and OpenAI. Summer camp is back in session — if your bunkmates run the world's biggest tech and media companies. Tech CEOs are descending on Sun Valley, Idaho, as the annual Allen & Co. conference kicks off on Tuesday. Known as "summer camp for billionaires," the invite-only gathering is expected to draw leaders from Amazon, Apple, Meta, OpenAI, and other major media companies. Though discussions among invitees are kept confidential, Tim Armstrong, the CEO of Flowcode, previously told Business Insider that AI was the "1,000-pound gorilla" in "every conversation, every meeting" at last year's conference. Hundreds of private jets, bringing some of the world's most influential executives, have been flocking to the mountain resort since Monday. Tim Burke, director of the Sun Valley Friedman Memorial Airport, told Business Insider he expects between 300 and 350 aircraft each day of the conference, more than four times the typical traffic. Here are the CEOs and billionaires we've spotted in Sun Valley so far. David Zaslav, President and CEO of Warner Bros. Discovery, waves at the camera Kevin Dietsch/Getty Images Zaslav arrived as Warner Bros. Discovery weighs major strategic changes after announcing plans to split into two stand-alone public companies, separating its streaming and studio business from its traditional cable networks. Jerry Yang, former CEO of Yahoo, arrives at the conference Kevin Dietsch/Getty Images The Yahoo cofounder remains a prominent investor through AME Cloud Ventures, backing AI and enterprise technology startups. Yang has become a regular fixture at Sun Valley as AI has emerged as the dominant topic among tech leaders. Mary Barra, CEO of General Motors, walks past reporters after arriving Kevin Dietsch/Getty Images Barra is steering GM through a slower-than-expected transition to electric vehicles while expanding its lineup of hybrid models. The automaker has also been investing heavily in autonomous driving and software as competition intensifies. Bret Taylor, chairman of OpenAI, arrives at the Sun Valley Lodge Kevin Dietsch/Getty Images Taylor chairs OpenAI's board while also leading Sierra, the AI startup he cofounded that builds customer service agents for businesses. His appearance comes as AI investment, infrastructure costs, and enterprise adoption remain top themes at this year's conference. Neal Mohan, CEO of YouTube, walks with a hot drink in hand Kevin Dietsch/Getty Images Mohan oversees YouTube as it continues to dominate streaming watch time and expand its business around Shorts, podcasts, and AI-powered creator tools. The platform remains a key player in the battle for digital advertising and entertainment audiences. Bob Iger, former CEO of The Walt Disney Company, arrives at the annual gathering Kevin Dietsch/Getty Images Iger stepped down as Disney CEO in March after handing the reins to Josh D'Amaro, ending his second stint leading the entertainment giant. He remains a senior advisor and Disney board member through the end of 2026. Ted Sarandos, co-CEO of Netflix, checks into the lodge Kevin Dietsch/Getty Images Sarandos leads Netflix as the streaming giant continues to invest in live events, advertising, and sports programming while maintaining its lead over traditional media rivals. Netflix remains a central player in conversations about the future of entertainment. Ken Langone, cofounder of Home Depot, is greeted by Zaslav upon arrival Kevin Dietsch/Getty Images The billionaire investor and Home Depot cofounder remains an influential voice in corporate America and philanthropy. Langone frequently weighs in on the economy, politics, and business leadership. Barry Diller, chairman and senior executive of IAC, arrives on a bike Kevin Dietsch/Getty Images Arriving on a bike as he did in previous years, the veteran conference attendee has spent decades shaping the media industry through companies including IAC, Expedia, and Match Group. Rob Manfred, MLB Commissioner, steps out of a van Kevin Dietsch/Getty Images Manfred is overseeing MLB's efforts to expand streaming distribution and modernize the league's media business, as sports rights remain among the entertainment industry's most valuable assets. John Henry, principal owner of Fenway Sports Group, heads into the lodge Kevin Dietsch/Getty Images Henry oversees Fenway Sports Group, whose portfolio includes the Boston Red Sox, Liverpool FC, and the Pittsburgh Penguins. Michael Eisner, former Walt Disney Company CEO, arrives in a football club hat Kevin Dietsch/Getty Images Eisner led Disney from 1984 to 2005 and remains one of the entertainment industry's most recognizable executives. A longtime Sun Valley attendee, he continues to invest in media and technology ventures and to advise companies. Kevin Warsh, chair of the Federal Reserve, arrives in a suit Kevin Dietsch/Getty Images Warsh arrived in Sun Valley just weeks after taking over as chair of the Federal Reserve, replacing Jerome Powell. He's taking over at a pivotal moment for the economy, with investors watching how he approaches inflation, interest rates, and the Fed's independence. Uber CEO Dara Khosrowshahi is seen chatting with Wendi Murdoch, former wife of Rupert Murdoch Kevin Dietsch/Getty Images Khosrowshahi is steering Uber into its next phase as the company expands beyond rides into AI and autonomous vehicles. The CEO has been positioning Uber as a potential backbone for the future of self-driving transportation. Wendi Murdoch, the ex-wife of media mogul Rupert Murdoch, returns to Sun Valley as a longtime attendee. She's been investing in startups through her venture firm and remains connected to Silicon Valley and global business leaders. Alex Karp, CEO of Palantir Technologies, flashes a peace sign Kevin Dietsch/Getty Images Karp leads Palantir as the defense software company expands its AI business across government and commercial customers. The outspoken CEO has emerged as one of Silicon Valley's most vocal figures on AI. Josh D'Amaro, CEO of Disney, is seen chatting with Michael Kives, cofounder and managing partner of K5 Global Kevin Dietsch/Getty Images D'Amaro is attending his first Sun Valley conference as Disney CEO after succeeding Bob Iger in March. He takes the helm as Disney focuses on streaming profitability, AI, and the expansion of its theme parks and entertainment businesses. Kives arrives as one of Hollywood and Silicon Valley's well-connected investors. Before co-founding K5 Global, he spent more than a decade as a talent agent at Creative Artists Agency and has built K5 into a venture firm known for backing tech companies. Tim Cook, CEO of Apple, is seen walking with John Ternus, incoming CEO of Apple Kevin Dietsch/Getty Images Cook arrives as he prepares to step down as Apple's CEO after nearly 15 years at the helm. He will hand the role to Apple hardware chief John Ternus in September while remaining with the company as executive chairman. Sam Altman, CEO of OpenAI, waves as he walks into the conference Bloomberg/Getty Images Altman arrives as OpenAI continues its push to build the next generation of AI systems while expanding its business beyond ChatGPT. The CEO is helping lead one of the biggest technology races in decades as the company looks toward filing an IPO. Andy Jassy, CEO of Amazon, with his wife Elena Andy Jassy and his wife Elena at Sun Valley. Kevin Dietsch/Getty Images Amazon's chief executive, Andy Jassy, arrived in Sun Valley dressed casually in a button-down shirt over a black T-shirt, accompanied by his wife, Elena Jassy. Retail giant Amazon is cementing its place in the AI race after inking a $50 billion investment agreement with OpenAI in February. Sheryl Sandberg, former COO of Meta Bloomberg/Getty Images Meta's former operations chief, Sheryl Sandberg, was photographed in Sun Valley dressed comfortably in a white cardigan over a black tank top, with a to-go cup in hand. Sandberg stepped down as COO in 2022 and from Meta's board in 2024. She now runs a women's nonprofit that she founded, as well as a venture capital firm, Sandberg Bernthal Venture Partners. Reid Hoffman, cofounder of LinkedIn, arrives at the conference Kevin Dietsch/Getty Images LinkedIn cofounder Reid Hoffman was part of this year's Sun Valley attendee list. Hoffman, who founded LinkedIn in 2003, launched Manas AI last year, a company that uses AI to accelerate drug research. Joshua Kushner attended with his wife, Karlie Kloss Kevin Dietsch/Getty Images Billionaire venture capitalist Joshua Kushner, the founder and managing partner of Thrive Capital, was photographed hand in hand with his wife, supermodel Karlie Kloss. Bill Gates, cofounder of Microsoft, rides in a golf cart with girlfriend Paula Hurd Kevin Dietsch/Getty Images The semi-retired Microsoft cofounder continues to focus on AI, global health, and climate through the Gates Foundation. Jeff Bezos, executive chairman of Amazon, attends the conference with his wife, Lauren Sánchez Bezos Kevin Dietsch/Getty Images Bezos arrives as Amazon continues investing heavily in AI, cloud computing, and logistics. The billionaire stepped down as CEO in 2021 but remains closely involved in the company's long-term strategy, overseeing Blue Origin and his other ventures. Mark Zuckerberg, CEO of Meta, is seen walking with Dina Powell McCormick, a former US Deputy national security advisor, and two Meta executives Kevin Dietsch/Getty Images Zuckerberg attends the conference with a line-up of other Meta executives, including president and vice chair Powell McCormick, chief operating officer Javier Olivan, and chief strategy officer David Wehner. The CEO has made AI the company's top priority, while continuing to expand its smart glasses and wearable tech businesses. Bari Weiss, editor in chief of CBS News, is seen on the phone outside the Sun Valley lodge Kevin Dietsch/Getty Images In one of the year's biggest shake-ups in broadcast journalism, Weiss was named editor in chief of CBS News. The former opinion editor and founder of The Free Press now oversees the network's news division. Jared Kushner, CEO of Affinity Partners, is seen attending with his wife, Ivanka Trump Kevin Dietsch/Getty Images The former White House senior advisor and son-in-law to Donald Trump is a longtime attendee at Sun Valley. Kushner recently expanded his Miami-based investment firm's portfolio while remaining involved in global affairs. Read the original article on Business Insider

Product Hunt
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Superunit

By Peter Marler

Discussion | Link

OpenAI Blog
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Learn how to use ChatGPT, start your first conversation, and discover simple ways to write, brainstorm, and solve problems with AI.

Techmeme
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Foo Yun Chee / Reuters: SAP will make it easier for customers to switch to rival service providers or end contracts, averting a possible EU antitrust fine after a September 2025 probe  —  SAP (SAPG.DE), Europe's largest software maker, will make it easier for its customers to switch to rival service providers or end …

TechCrunch
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OpenAI's No. 2 executive, Fidji Simo, is stepping down from her full-time role after her medical leave proved longer than expected — a leadership vacuum that comes at a tricky time as the company eyes a possible IPO and races to catch Anthropic in the enterprise market.