Tootfinder

At an all-hands, Andrew Bosworth says Sam Altman is not happy about Meta getting OpenAI talent and is "being dishonest" about Meta offering $100M bonuses (Alex Heath/The Verge)
https://www.theverge.com/command-line-newslet…

Meta says it’s winning the talent war with OpenAI
A top Meta exec called OpenAI CEO Sam Altman “dishonest” for saying that Mark Zuckerberg is offering researchers $100 million bonuses to leave.

"What is different, is that before what were largely fringe anti-Semitic and white supremacist theories floating around the far corners of the Alt-Right, have now become the backbone of the Republican party. 'The Great Replacement,' once a conspiracy pushed by only hardline neo-Nazis and white supremacists, is now being touted by everyone from pharma billionaire Vivek Ramaswamy, Swason frozen foods heir and Twitter troll Tucker Carlson, to the billionaire backed Turning Point US…

We had the pleasure of presenting at FIRST.org 2025, showcasing the Vulnerability-Lookup and GCVE.eu initiatives.
Slides are now available.
#cybersecurity #vulnerability #cve

@… their cloud offering does using Tempi

A look at Zhipu AI, the China-backed startup offering AI tools to governments globally, as OpenAI says Zhipu is on the "front line" of the global AI race (Dylan Butts/CNBC)
https://www.cnbc.com/2025/06/26/openai-flags-beijing-back…

Blacklisted by the U.S. and backed by Beijing, this Chinese AI startup has caught OpenAI's attention
OpenAI is putting a spotlight on an under-the-radar artificial intelligence start-up that it believes is on the "front line" of China's race to lead the world in AI.

PIMBS: Efficient Body Schema Learning for Musculoskeletal Humanoids with Physics-Informed Neural Networks
Kento Kawaharazuka, Takahiro Hattori, Keita Yoneda, Kei Okada
https://arxiv.org/abs/2506.20343

PIMBS: Efficient Body Schema Learning for Musculoskeletal Humanoids with Physics-Informed Neural Networks
Musculoskeletal humanoids are robots that closely mimic the human musculoskeletal system, offering various advantages such as variable stiffness control, redundancy, and flexibility. However, their body structure is complex, and muscle paths often significantly deviate from geometric models. To address this, numerous studies have been conducted to learn body schema, particularly the relationships among joint angles, muscle tension, and muscle length. These studies typically rely solely on data …

Domain Knowledge in Requirements Engineering: A Systematic Mapping Study
Marina Ara\'ujo, J\'ulia Ara\'ujo, Romeu Oliveira, Lucas Romao, Marcos Kalinowski
https://arxiv.org/abs/2506.20754

Domain Knowledge in Requirements Engineering: A Systematic Mapping Study
[Context] Domain knowledge is recognized as a key component for the success of Requirements Engineering (RE), as it provides the conceptual support needed to understand the system context, ensure alignment with stakeholder needs, and reduce ambiguity in requirements specification. Despite its relevance, the scientific literature still lacks a systematic consolidation of how domain knowledge can be effectively used and operationalized in RE. [Goal] This paper addresses this gap by offering a com…

Deterministic and Stochastic Study of the X-ray Emission from the TeV Blazar Mrk~421
Radim P\'anis (Research Centre for Theoretical Physics and Astrophysics, Institute of Physics in Opava, Silesian University in Opava, Czech Republic), Gopal Bhatta (Janusz Gil Institute of Astronomy, University of Zielona G\'ora, Zielona G\'ora, Poland), Tek P. Adhikari (CAS Key Laboratory for Research in Galaxies and Cosmology, Department of Astronomy, University of Science and Technology …

Deterministic and Stochastic Study of the X-ray Emission from the TeV Blazar Mrk~421
We present a comprehensive timing analysis of X-ray data from the {\it XMM-Newton} satellite, examining 50 light curves covering 17 years of observations of the blazar Mrk~421. This work uses classical deterministic and stochastic methods in a novel way, enabling the distinction of temporal scales and offering essential insights through correlations among parameters. Deterministic behaviors are primarily explored through recurrence quantification analysis (RQA), used innovatively by varying the…

Interesting ExpressVPN offering fixed IPs https://www.expressvpn.com/features/dedicated-ip

ScaleCap: Inference-Time Scalable Image Captioning via Dual-Modality Debiasing
Long Xing, Qidong Huang, Xiaoyi Dong, Pan Zhang, Yuhang Zang, Yuhang Cao, Jinsong Li, Shuangrui Ding, Weiming Zhang, Nenghai Yu, Jiaqi Wang, Feng Wu, Dahua Lin
https://arxiv.org/abs/2506.19848

ScaleCap: Inference-Time Scalable Image Captioning via Dual-Modality Debiasing
This paper presents ScaleCap, an inference-time scalable image captioning strategy that generates comprehensive and detailed image captions. The key challenges of high-quality image captioning lie in the inherent biases of LVLMs: multimodal bias resulting in imbalanced descriptive granularity, offering detailed accounts of some elements while merely skimming over others; linguistic bias leading to hallucinated descriptions of non-existent objects. To address these issues, we propose a scalable …

Dorothea Baur reflecting on #AI tech bros going all in on even your most personal data. Claiming to help you solve a problem which they helped create in the beginning:
"A breach of trust enabled by AI now becomes the justification for surveillance-based trust systems. And the very people who helped break the system are offering to fix it – in exchange for your iris. That’s not a safety fe…

Transversal Surface-Code Game Powered by Neutral Atoms
Shinichi Sunami, Akihisa Goban, Hayata Yamasaki
https://arxiv.org/abs/2506.18979 https://

Transversal Surface-Code Game Powered by Neutral Atoms
Neutral atom technologies have opened the door to novel theoretical advances in surface-code protocols for fault-tolerant quantum computation (FTQC), offering a compelling alternative to lattice surgery by leveraging transversal gates. However, a crucial gap remains between the theory of FTQC and its practical realization on neutral atom systems; most critically, a key theoretical requirement -- that syndrome extraction must be performed frequently enough to keep error accumulation below a thre…

Let’s see, anywhere nearby that serves rocks, or pizza with extra glue? #google #slop

Out of Control -- Why Alignment Needs Formal Control Theory (and an Alignment Control Stack)
Elija Perrier
https://arxiv.org/abs/2506.17846 https://…

Out of Control -- Why Alignment Needs Formal Control Theory (and an Alignment Control Stack)
This position paper argues that formal optimal control theory should be central to AI alignment research, offering a distinct perspective from prevailing AI safety and security approaches. While recent work in AI safety and mechanistic interpretability has advanced formal methods for alignment, they often fall short of the generalisation required of control frameworks for other technologies. There is also a lack of research into how to render different alignment/control protocols interoperable.…

Imagen 4 is now available in the Gemini API and Google AI Studio, priced at $0.04 per image or $0.06 for "Ultra" mode that "precisely" follows user instructions (Google Developers Blog)
https://developers.googleblog.com/en/i

Imagen 4 is now available in the Gemini API and Google AI Studio- Google Developers Blog
Explore Imagen 4, Google's advanced text-to-image model, now in paid preview via Gemini API and Google AI Studio, offering improved text generation.

‘Raiders Could Emerge As Dark-Horse Contender’—NFL Analyst’s Expectations For Las Vegas https://raiderramble.com/2025/06/23/raiders-could-emerge-as-dark-horse-contender-nfl-analyst/

The Chicago Tribune is offering buyouts to the newsroom's 75 union members; the newsroom last went through buyouts in 2021, when nearly 40 people left (Kaitlin Washburn/Chicago Sun Times)
https://chicago.suntimes.com/business/2025/06/12/chicag…

Chicago Tribune offering newsroom buyouts
The newsroom's union, which ratified its first contract just seven months ago, said in a statement cutting staff as a "short-term profit boost" is unsustainable. It was not immediately known how many positions the company was looking to cut or what dollar amount it's trying to save.

Generating and Understanding Tests via Path-Aware Symbolic Execution with LLMs
Yaoxuan Wu, Xiaojie Zhou, Ahmad Humayun, Muhammad Ali Gulzar, Miryung Kim
https://arxiv.org/abs/2506.19287

Generating and Understanding Tests via Path-Aware Symbolic Execution with LLMs
Symbolic execution is a widely used technique for test generation, offering systematic exploration of program paths through constraint solving. However, it is fundamentally constrained by the capability to model the target code including library functions in terms of symbolic constraint and the capability of underlying constraint solvers. As a result, many paths involving complex features remain unanalyzed or insufficiently modeled. Recent advances in large language models (LLMs) have shown pro…

A vital voice in country music offering a rambling take-down of so much that's wrong in the US:
"Go ahead and shoot me if it floats your little boat
But I'll live by my conscience even if that's all she wrote"
Iris DeMent, "Going Down to Sing in Texas" (2023)
https://…

Cross-Modality Learning for Predicting IHC Biomarkers from H&E-Stained Whole-Slide Images
Amit Das, Naofumi Tomita, Kyle J. Syme, Weijie Ma, Paige O'Connor, Kristin N. Corbett, Bing Ren, Xiaoying Liu, Saeed Hassanpour
https://arxiv.org/abs/2506.15853

Cross-Modality Learning for Predicting IHC Biomarkers from H&E-Stained Whole-Slide Images
Hematoxylin and Eosin (H&E) staining is a cornerstone of pathological analysis, offering reliable visualization of cellular morphology and tissue architecture for cancer diagnosis, subtyping, and grading. Immunohistochemistry (IHC) staining provides molecular insights by detecting specific proteins within tissues, enhancing diagnostic accuracy, and improving treatment planning. However, IHC staining is costly, time-consuming, and resource-intensive, requiring specialized expertise. To address t…

Room temperature spin injection into commercial VCSELs at non-resonant wavelengths
Timur Almabetov, Petros Androvitsaneas, Zhongze Ren, Andrew Young, Ruth Oulton, Edmund Harbord
https://arxiv.org/abs/2506.18376

Room temperature spin injection into commercial VCSELs at non-resonant wavelengths
Spin lasers leverage electron spin-polarisation to control photon polarisation, offering the potential for lower thresholds, rapid modulation, and all-optical data processing. We report successful spin injection into a commercial Vertical Cavity Surface Emitting Laser (VCSEL) using optical pumping at wavelengths of 794 nm and 810 nm. Maximum circular polarisation achieved was about 20% at 794 nm, whereas this falls to 5% with exciting at 810 nm. We attribute this to reduced spin injection due t…

🇺🇦 #NowPlaying on KEXP's #JazzTheatre
The Cosmic Tones Research Trio:
🎵 The Offering
#TheCosmicTonesResearchTrio
https://mississippirecords.bandcamp.com/track/the-offering
https://open.spotify.com/track/2TwRZzXSJgSKebSGjxDKm1

DeepRTL2: A Versatile Model for RTL-Related Tasks
Yi Liu, Hongji Zhang, Yunhao Zhou, Zhengyuan Shi, Changran Xu, Qiang Xu
https://arxiv.org/abs/2506.15697 …

DeepRTL2: A Versatile Model for RTL-Related Tasks
The integration of large language models (LLMs) into electronic design automation (EDA) has significantly advanced the field, offering transformative benefits, particularly in register transfer level (RTL) code generation and understanding. While previous studies have demonstrated the efficacy of fine-tuning LLMs for these generation-based tasks, embedding-based tasks, which are equally critical to EDA workflows, have been largely overlooked. These tasks, including natural language code search,…

Degrowth as an Essential Part of an Eco-Socialist Transition
by Anna Gregoletto* In the series Prospects for Degrowth Many thanks to Mark Burton for encouraging me to write this article and offering so many helpful suggestions. Thank you also to my comrades at Climate Vanguard. Without their teachings I’d have never been able to articulate the ideas in this article. Do check out Climate Vanguard’s incredible work.

Degrowth as an Essential Part of an Eco-Socialist Transition
by Anna Gregoletto* In the series Prospects for Degrowth Many thanks to Mark Burton for encouraging me to write this article and offering so many helpful suggestions. Thank you also to my comrades …

Signatures of BH seeding on the $\mathrm{M_{\displaystyle \bullet}}-\sigma$ relation: Predictions from the BRAHMA simulations
Jonathan Kho, Aklant K. Bhowmick, Paul Torrey, Alex M. Garcia, Niusha Ahvazi, Laura Blecha, Mark Vogelsberger
https://arxiv.org/abs/2506.17476

Signatures of BH seeding on the $\mathrm{M_{\displaystyle \bullet}}-σ$ relation: Predictions from the BRAHMA simulations
The James Webb Space Telescope (JWST) has identified a large population of supermassive ($10^6$-$10^8~\mathrm{M}_\odot$) black holes (BHs) in the early universe ($z \sim 4$-$7$). Current measurements suggest that many of these BHs exhibit higher BH-to-stellar mass ratios than local populations, opening a new window into the earliest stages of BH-galaxy coevolution and offering the potential to place tight constraints on BH seeding and growth in the early universe. In this work, we use the BRAHM…

Cloudflare, CrowdStrike, and Ping Identity end a 2022 project offering free cybersecurity tools to critical infrastructure sectors at risk from Russian attacks (David DiMolfetta/Nextgov/FCW)
https://www.nextgov.com/cybersecurity/…

Cyber firms sunset free services meant to counter Russia-linked hacking threats
The 2022 initiative by Cloudflare, CrowdStrike and Ping Identity provided cybersecurity support to critical infrastructure sectors seen as potential targets of Russia-linked attacks.

"Israel is in clear violation of Article 2(4) of the UN Charter. When Russia invaded Ukraine — an action this paper condemned at the time — the EU, Britain and the US invoked Ukraine’s right to defend itself under Article 51, but those same Western governments are now bizarrely offering Article 51 to the aggressor Israel, instead of Iran."
Trump’s alarming G7 exit signals an unstable leader edging towards war with Iran | Morning Star

Vermont plastic bag use dropped 91% following ban, researchers find #Vermont

Vermont plastic bag use dropped 91% following ban, researchers find
In the midst of 2020 COVID measures, another change took place in Vermont: A law went into effect banning businesses from offering plastic bags to customers, with paper bags only available for a fee.

Solving Zero-Sum Convex Markov Games
Fivos Kalogiannis, Emmanouil-Vasileios Vlatakis-Gkaragkounis, Ian Gemp, Georgios Piliouras
https://arxiv.org/abs/2506.16120

Solving Zero-Sum Convex Markov Games
We contribute the first provable guarantees of global convergence to Nash equilibria (NE) in two-player zero-sum convex Markov games (cMGs) by using independent policy gradient methods. Convex Markov games, recently defined by Gemp et al. (2024), extend Markov decision processes to multi-agent settings with preferences that are convex over occupancy measures, offering a broad framework for modeling generic strategic interactions. However, even the fundamental min-max case of cMGs presents signi…

Particle-in-cell simulations of plasma wakefield formation in microwave waveguides
Jes\'us E. L\'opez, Eduardo A. Orozco
https://arxiv.org/abs/2506.17752

Particle-in-cell simulations of plasma wakefield formation in microwave waveguides
The acceleration of charged particles is fundamental not only for experimental studies in particle physics but also for applications in fields such as semiconductor manufacturing and medical therapies. However, conventional accelerators face limitations due to their large size, driven by low acceleration gradients. Plasma-based accelerators have emerged as a promising alternative, offering ultrahigh acceleration gradients, though their implementation is often limited by the need for high-intens…

A Conceptual Framework for AI Capability Evaluations
Mar\'ia Victoria Carro, Denise Alejandra Mester, Francisca Gauna Selasco, Luca Nicol\'as Forziati Gangi, Matheo Sandleris Musa, Lola Ramos Pereyra, Mario Leiva, Juan Gustavo Corvalan, Mar\'ia Vanina Martinez, Gerardo Simari
https://arxiv.org/abs/2506.18213

A Conceptual Framework for AI Capability Evaluations
As AI systems advance and integrate into society, well-designed and transparent evaluations are becoming essential tools in AI governance, informing decisions by providing evidence about system capabilities and risks. Yet there remains a lack of clarity on how to perform these assessments both comprehensively and reliably. To address this gap, we propose a conceptual framework for analyzing AI capability evaluations, offering a structured, descriptive approach that systematizes the analysis of …

US offering $10 million for info on Iranian hackers behind IOControl malware https://therecord.media/us-offers-reward-for-iran-hacker-iocontrol-malware

Kleinanzeigen.
Offering a barely used (really) vacuum cleaner for 30% of retail price.
And Germans *still* ask for another 20% discount.
Is it a reflex?

GRAND-SLAM: Local Optimization for Globally Consistent Large-Scale Multi-Agent Gaussian SLAM
Annika Thomas, Aneesa Sonawalla, Alex Rose, Jonathan P. How
https://arxiv.org/abs/2506.18885

GRAND-SLAM: Local Optimization for Globally Consistent Large-Scale Multi-Agent Gaussian SLAM
3D Gaussian splatting has emerged as an expressive scene representation for RGB-D visual SLAM, but its application to large-scale, multi-agent outdoor environments remains unexplored. Multi-agent Gaussian SLAM is a promising approach to rapid exploration and reconstruction of environments, offering scalable environment representations, but existing approaches are limited to small-scale, indoor environments. To that end, we propose Gaussian Reconstruction via Multi-Agent Dense SLAM, or GRAND-SLA…

Microsoft and Meta unveil the $399 Meta Quest 3S Xbox Edition, offering few updates to the $299 Meta Quest 3S, available in "extremely limited" quantities (Jez Corden/Windows Central)
https://www.windowscentral.com/gaming/xbox/meta-q…

After a year of waiting, Microsoft's Meta Quest 3S "Xbox Edition" is here — our hands-on review of this (very) limited edition partnership
Last year, Microsoft revealed it was working on an Xbox edition Quest VR headset with Meta of Facebook fame. Why it took over a year to materialize is anyone's guess, but was it worth the wait?

I was trying Greenlight for streaming my Xbox console games on Bazzite Linux, and I noticed there's still hope for Microsoft 🧐 🥰 🥳 🎮
#gaming #Xbox #Greenlight

The Marines and National Guard shouldn't be deployed to protests in LA, Texas or anywhere else.
But since they are, the Freedom of the Press Foundation and other press freedom groups wrote a letter to them explaining the basics of journalists' rights when covering demonstrations, and offering their help.
#Press #Freedom #Democracy

"Smart glasses offering a combination of sensory substitution based 'raw' vision and AI-based scene description and OCR appears to be technically and economically the most feasible and sustainable way toward meeting expectations, needs and interests of many blind people." https://www.artificialvision…

Face to face with solar telescopes, meteorites and exoplanets: For the 6th Night of Science on June 21st 2025 in Göttingen, the MPI for Solar System Research is offering a full program of hands-on activities, lectures, guided tours, and unique exhibits.
Infos by MPS: https://www.mps.mpg.de/night-of-science-20

This is just yet another example of what happens when #ClimateChange is ignored. A ramp-up of extreme #weather is causing #insurance companies to stop offering coverage in areas around the globe where…

Our pre-conference Barcamp has become a real highlight, offering a fantastic opportunity to connect with fellow attendees and dive into some engaging conversations before the main conference even kicks off. This year, Nick Burch will once again be guiding the flow of ideas and discussions on 15 June, starting at 2:30 pm. It's a great way to warm up, share your thoughts, and meet new people!
Learn more about our barcamp:

AnyMAC: Cascading Flexible Multi-Agent Collaboration via Next-Agent Prediction
Song Wang, Zhen Tan, Zihan Chen, Shuang Zhou, Tianlong Chen, Jundong Li
https://arxiv.org/abs/2506.17784

AnyMAC: Cascading Flexible Multi-Agent Collaboration via Next-Agent Prediction
Recent progress in large language model (LLM)-based multi-agent collaboration highlights the power of structured communication in enabling collective intelligence. However, existing methods largely rely on static or graph-based inter-agent topologies, lacking the potential adaptability and flexibility in communication. In this work, we propose a new framework that rethinks multi-agent coordination through a sequential structure rather than a graph structure, offering a significantly larger topo…

Large Language Models for History, Philosophy, and Sociology of Science: Interpretive Uses, Methodological Challenges, and Critical Perspectives
Arno Simons, Michael Zichert, Adrian W\"uthrich
https://arxiv.org/abs/2506.12242

Large Language Models for History, Philosophy, and Sociology of Science: Interpretive Uses, Methodological Challenges, and Critical Perspectives
This paper explores the use of large language models (LLMs) as research tools in the history, philosophy, and sociology of science (HPSS). LLMs are remarkably effective at processing unstructured text and inferring meaning from context, offering new affordances that challenge long-standing divides between computational and interpretive methods. This raises both opportunities and challenges for HPSS, which emphasizes interpretive methodologies and understands meaning as context-dependent, ambigu…

Solid-State Optical Magnetometer: Next-Generation Approach to Sub-Nanotesla Magnetic Sensing
O. Daneshmandi, M. Alidadi, Y. M. Banad, S. S. Sharif
https://arxiv.org/abs/2506.18111

Solid-State Optical Magnetometer: Next-Generation Approach to Sub-Nanotesla Magnetic Sensing
We present a Solid-State Optical Magnetometer (SOM) based on black phosphorus (BP) multilayers, offering a compact, scalable, and highly sensitive alternative to traditional atomic-based magnetometers. Utilizing BP's intrinsic linear dichroism in a metasurface cavity, the SOM achieves sub-nanotesla precision and vector magnetic field sensing. BP enhances light-matter interactions, enabling tunable optical responses driven by Lorentz force-induced cavity deformation. Optimized metasurface unit c…

"What Can We Learn From Open Access Journals in the Arab States?" @ Katina Magazine: https://katinamagazine.org/content/article/open-knowledge/2025/open-access-journals-arab-states
"In the 22 Arab states,

Netflix says Netflix House, its in-person experience offering interactive activities, will open in Philadelphia and Dallas in late 2025 and in Las Vegas in 2027 (Wendy Lee/Los Angeles Times)
https://www.latimes.com/entertainment-arts…

Sneak peek inside the Netflix House retail locations
Netflix will open two retail locations in the Philadelphia and Dallas areas later this year. On Tuesday, the streamer said a third location will open in Las Vegas in 2027.

Unsupervised deep learning model for fast energy layer pre-selection of delivery-efficient proton arc therapy plan optimization of nasopharyngeal carcinoma
Bohan Yang, Gang Liu, Rirao Dao, Yujia Qian, Ke Shi, Anke Tang, Yong Luo, Jingnan Liu
https://arxiv.org/abs/2506.15803

Unsupervised deep learning model for fast energy layer pre-selection of delivery-efficient proton arc therapy plan optimization of nasopharyngeal carcinoma
Objective. Proton arc therapy (PAT) is an emerging and promising modality in radiotherapy, offering several advantages over conventional intensitymodulated proton therapy (IMPT). However, identifying the optimal energy layer (EL) sequence remains computationally intensive due to the large number of possible energy layer transitions. This study proposes an unsupervised deep learning framework for fast and effective EL pre-selection, aiming to minimize energy layer switch time while preserving hi…

D\'ej\`a Vu: Efficient Video-Language Query Engine with Learning-based Inter-Frame Computation Reuse
Jinwoo Hwang, Daeun Kim, Sangyeop Lee, Yoonsung Kim, Guseul Heo, Hojoon Kim, Yunseok Jeong, Tadiwos Meaza, Eunhyeok Park, Jeongseob Ahn, Jongse Park
https://arxiv.org/abs/2506.14107

Déjà Vu: Efficient Video-Language Query Engine with Learning-based Inter-Frame Computation Reuse
Recently, Video-Language Models (VideoLMs) have demonstrated remarkable capabilities, offering significant potential for flexible and powerful video query systems. These models typically rely on Vision Transformers (ViTs), which process video frames individually to extract visual embeddings. However, generating embeddings for large-scale videos requires ViT inferencing across numerous frames, posing a major hurdle to real-world deployment and necessitating solutions for integration into scalabl…

A simplified algorithmic realization of Galois actions on special values of modular functions
Ja Kyung Koo, Dong Hwa Shin, Dong Sung Yoon
https://arxiv.org/abs/2506.14139

A simplified algorithmic realization of Galois actions on special values of modular functions
We propose an explicit and practical algorithm for computing Galois conjugates and irreducible polynomials for special values of modular functions evaluated at CM points associated with imaginary quadratic orders. Our approach builds upon the theory of extended form class groups developed by Jung et al., offering a refinement of earlier methods by Stevenhagen and Cho, respectively.

Multimodal "Puppeteer": An Exploration of Robot Teleoperation Via Virtual Counterpart with LLM-Driven Voice and Gesture Interaction in Augmented Reality
Yuchong Zhang, Bastian Orthmann, Shichen Ji, Michael Welle, Jonne Van Haastregt, Danica Kragic
https://arxiv.org/abs/2506.13189…

Multimodal "Puppeteer": An Exploration of Robot Teleoperation Via Virtual Counterpart with LLM-Driven Voice and Gesture Interaction in Augmented Reality
The integration of robotics and augmented reality (AR) holds transformative potential for advancing human-robot interaction (HRI), offering enhancements in usability, intuitiveness, accessibility, and collaborative task performance. This paper introduces and evaluates a novel multimodal AR-based robot puppeteer framework that enables intuitive teleoperation via virtual counterpart through large language model (LLM)-driven voice commands and hand gesture interactions. Utilizing the Meta Quest 3,…

Model Predictive Path-Following Control for a Quadrotor
David Leprich, Mario Rosenfelder, Mario Hermle, Jingshan Chen, Peter Eberhard
https://arxiv.org/abs/2506.15447

Model Predictive Path-Following Control for a Quadrotor
Automating drone-assisted processes is a complex task. Many solutions rely on trajectory generation and tracking, whereas in contrast, path-following control is a particularly promising approach, offering an intuitive and natural approach to automate tasks for drones and other vehicles. While different solutions to the path-following problem have been proposed, most of them lack the capability to explicitly handle state and input constraints, are formulated in a conservative two-stage approach,…

The Pitfalls and Potentials of Adding Gene-invariance to Optimal Mixing
Anton Bouter, Dirk Thierens, Peter A. N. Bosman
https://arxiv.org/abs/2506.15222 ht…

The Pitfalls and Potentials of Adding Gene-invariance to Optimal Mixing
Optimal Mixing (OM) is a variation operator that integrates local search with genetic recombination. EAs with OM are capable of state-of-the-art optimization in discrete spaces, offering significant advantages over classic recombination-based EAs. This success is partly due to high selection pressure that drives rapid convergence. However, this can also negatively impact population diversity, complicating the solving of hierarchical problems, which feature multiple layers of complexity. While t…

INTERPOS: Interaction Rhythm Guided Positional Morphing for Mobile App Recommender Systems
M. H. Maqbool, Moghis Fereidouni, Umar Farooq, A. B. Siddique, Hassan Foroosh
https://arxiv.org/abs/2506.12661

INTERPOS: Interaction Rhythm Guided Positional Morphing for Mobile App Recommender Systems
The mobile app market has expanded exponentially, offering millions of apps with diverse functionalities, yet research in mobile app recommendation remains limited. Traditional sequential recommender systems utilize the order of items in users' historical interactions to predict the next item for the users. Position embeddings, well-established in transformer-based architectures for natural language processing tasks, effectively distinguish token positions in sequences. In sequential recommenda…

Semi-orthogonal Tribonacci Wavelets and Numerical Solutions of Nonlinear Singular BVPs Arising in a Chemical Reaction
Ankita Yadav, Amit K. Verma
https://arxiv.org/abs/2506.14814 …

Semi-orthogonal Tribonacci Wavelets and Numerical Solutions of Nonlinear Singular BVPs Arising in a Chemical Reaction
In this article, we introduce a semi-orthogonal tribonacci wavelet and develop a semi-orthogonal tribonacci wavelet collocation method, offering an effective numerical method for solving a class of non-linear singular BVPs.

I see that Nintendo has started charging $10 and $20 upgrade fees to Nintendo Switch 2. This is different from the approach Microsoft generally took in offering free graphics upgrades for next gen consoles.
One problem I have with the upgrades is they add a digital component to a physical game I already have. From a handling standpoint, it's the worst of both worlds.
Overall, it's one huge reason I'm not eager to upgrade to

"Eventually, I stopped responding to my body. I was responding instead to a dashboard." — @…
This is a great point and very much translates to so many other parts of life/work where people stop listening to their "body" (or to their org/product/offering), outsourcing/numbing/dumbing down their decision making based on dashboards of col…

Why I Gave Up My Smartwatch
Somewhere between the first time I tapped my wrist to skip a song and the three hundredth time I anxiously checked my resting heart rate, I started to hate my Apple Watch. The promise of the smartwatch was elegance, convenience, optimization. What I got was constant data drip, subtle panic,

Coinbase announces its first branded credit card, in partnership with American Express, for Coinbase One US users, and creates a lower-cost Basic subscription (Tanaya Macheel/CNBC)
https://www.cnbc.com/2025/06/12/coinbase-b

Coinbase beefs up subscription plan by offering it with American Express credit card
Coinbase on Thursday introduced its first branded credit card in partnership with American Express.

A Machine Learning Framework for Modeling Ensemble Properties of Atomically Disordered Materials
Zhenyao Fang, Ting-Wei Hsu, Qimin Yan
https://arxiv.org/abs/2506.15652

A Machine Learning Framework for Modeling Ensemble Properties of Atomically Disordered Materials
Disorder, though naturally present in experimental samples and strongly influencing a wide range of material phenomena, remains underexplored in first-principles studies due to the computational cost of sampling the large supercell and configurational space. The recent development of machine learning techniques, particularly graph neural networks (GNNs), has enabled the efficient and accurate predictions of complex material properties, offering promising tools for studying disordered systems. I…

A Contemporary Survey on Fluid Antenna Systems: Fundamentals and Networking Perspectives
Hanjiang Hong, Kai-Kit Wong, Hao Xu, Xinghao Guo, Farshad Rostami Ghadi, Yu Chen, Yin Xu, Chan-Byoung Chae, Baiyang Liu, Kin-Fai Tong, Yangyang Zhang
https://arxiv.org/abs/2506.13317

A Contemporary Survey on Fluid Antenna Systems: Fundamentals and Networking Perspectives
The explosive growth of teletraffic, fueled by the convergence of cyber-physical systems and data-intensive applications, such as the Internet of Things (IoT), autonomous systems, and immersive communications, demands a multidisciplinary suite of innovative solutions across the physical and network layers. Fluid antenna systems (FAS) represent a transformative advancement in antenna design, offering enhanced spatial degrees of freedom through dynamic reconfigurability. By exploiting spatial fle…

Balancing Intensity and Focality in Directional DBS Under Uncertainty: A Simulation Study of Electrode Optimization via a Metaheuristic L1L1 Approach
Fernando Galaz Prieto, Antti Lassila, Maryam Samavaki, Sampsa Pursiainen
https://arxiv.org/abs/2506.13452

Balancing Intensity and Focality in Directional DBS Under Uncertainty: A Simulation Study of Electrode Optimization via a Metaheuristic L1L1 Approach
As DBS technology advances toward directional leads and optimization-based current steering, this study aims to improve the selection of electrode contact configurations using the recently developed L1-norm regularized L1-norm fitting (L1L1) method. The focus is in particular on L1L1's capability to incorporate a priori lead field uncertainty, offering a potential advantage over conventional approaches that do not account for such variability. Our optimization framework incorporates uncertainty…

Ergodic Theory of Inhomogeneous Quantum Processes
Abdessatar Souissi
https://arxiv.org/abs/2506.12280 https://arxiv.org/pdf/2506.1228…

Ergodic Theory of Inhomogeneous Quantum Processes
This work presents a rigorous framework for understanding ergodicity and mixing in time-inhomogeneous quantum systems. By analyzing quantum processes driven by sequences of quantum channels, we distinguish between forward and backward dynamics and reveal their fundamental asymmetries. A key contribution is the development of a quantum Markov-Dobrushin approach to characterize mixing behavior, offering clear criteria for convergence and exponential stability. The framework not only generalizes c…

"Donald Trump says Elon Musk has ‘lost his mind’ and dismisses peace offering
Trump says he is ‘not particularly’ interested in reconciling with Musk, who reportedly wanted to speak to president"
cue the SNL skit

Anomaly Detection and Generation with Diffusion Models: A Survey
Yang Liu, Jing Liu, Chengfang Li, Rui Xi, Wenchao Li, Liang Cao, Jin Wang, Laurence T. Yang, Junsong Yuan, Wei Zhou
https://arxiv.org/abs/2506.09368

Anomaly Detection and Generation with Diffusion Models: A Survey
Anomaly detection (AD) plays a pivotal role across diverse domains, including cybersecurity, finance, healthcare, and industrial manufacturing, by identifying unexpected patterns that deviate from established norms in real-world data. Recent advancements in deep learning, specifically diffusion models (DMs), have sparked significant interest due to their ability to learn complex data distributions and generate high-fidelity samples, offering a robust framework for unsupervised AD. In this surve…

Epass: Efficient and Privacy-Preserving Asynchronous Payment on Blockchain
Weijie Wang, Jinwen Liang, Chuan Zhang, Ximeng Liu, Liehuang Zhu, Song Guo
https://arxiv.org/abs/2506.09387

Epass: Efficient and Privacy-Preserving Asynchronous Payment on Blockchain
Buy Now Pay Later (BNPL) is a rapidly proliferating e-commerce model, offering consumers to get the product immediately and defer payments. Meanwhile, emerging blockchain technologies endow BNPL platforms with digital currency transactions, allowing BNPL platforms to integrate with digital wallets. However, the transparency of transactions causes critical privacy concerns because malicious participants may derive consumers' financial statuses from on-chain asynchronous payments. Furthermore, th…

Degrowth as an Essential Part of an Eco-Socialist Transition
by Anna Gregoletto, on DegrowthUK
https://degrowthuk.org/2025/06/12/degrowth-as-an-essential-part-of-an-eco-socialist-transition/
Also
Degrowth: …

Degrowth as an Essential Part of an Eco-Socialist Transition
by Anna Gregoletto* In the series Prospects for Degrowth Many thanks to Mark Burton for encouraging me to write this article and offering so many helpful suggestions. Thank you also to my comrades …

"Vermont plastic bag use dropped 91% following ban, researchers find"
#US #USA #America #Vermont

Vermont plastic bag use dropped 91% following ban, researchers find
In the midst of 2020 COVID measures, another change took place in Vermont: A law went into effect banning businesses from offering plastic bags to customers, with paper bags only available for a fee.

3DGS-IEval-15K: A Large-scale Image Quality Evaluation Database for 3D Gaussian-Splatting
Yuke Xing, Jiarui Wang, Peizhi Niu, Wenjie Huang, Guangtao Zhai, Yiling Xu
https://arxiv.org/abs/2506.14642

3DGS-IEval-15K: A Large-scale Image Quality Evaluation Database for 3D Gaussian-Splatting
3D Gaussian Splatting (3DGS) has emerged as a promising approach for novel view synthesis, offering real-time rendering with high visual fidelity. However, its substantial storage requirements present significant challenges for practical applications. While recent state-of-the-art (SOTA) 3DGS methods increasingly incorporate dedicated compression modules, there is a lack of a comprehensive framework to evaluate their perceptual impact. Therefore we present 3DGS-IEval-15K, the first large-scale …

Belief propagation for networks with loops: The neighborhoods-intersections-based method
Pedro Hack
https://arxiv.org/abs/2506.13791 https://

Belief propagation for networks with loops: The neighborhoods-intersections-based method
In order to diminish the damaging effect of loops on belief propagation (BP), the first explicit version of generalized BP for networks, the KCN-method, was recently introduced. Despite its success, the KCN-method spends computational resources inefficiently. Such inefficiencies can quickly turn the exact application of the method unfeasible, since its time complexity increases exponentially with them. This affects for instance tree networks, for which, despite not offering any accuracy advanta…

Hi friends!
I set my alarm to 5am and headed out for a nice walk. It was getting warm, so I started early. - and it was just so good to do so!
A nice 6h walk with lots of views, lots of photos and just enjoying being out. End the #summit just for me 😍
On the way up I noted all places where I could refuel later using my water filter. Seriously: why didn't I buy that waaays ear…

DREAM: On hallucinations in AI-generated content for nuclear medicine imaging
Menghua Xia, Reimund Bayerlein, Yanis Chemli, Xiaofeng Liu, Jinsong Ouyang, Georges El Fakhri, Ramsey D. Badawi, Quanzheng Li, Chi Liu
https://arxiv.org/abs/2506.13995

DREAM: On hallucinations in AI-generated content for nuclear medicine imaging
Artificial intelligence-generated content (AIGC) has shown remarkable performance in nuclear medicine imaging (NMI), offering cost-effective software solutions for tasks such as image enhancement, motion correction, and attenuation correction. However, these advancements come with the risk of hallucinations, generating realistic yet factually incorrect content. Hallucinations can misrepresent anatomical and functional information, compromising diagnostic accuracy and clinical trust. This paper …

Quantum Entanglement with Geometric Measures
Xuanran Zhu
https://arxiv.org/abs/2506.11453 https://arxiv.org/pdf/2506.11453

Quantum Entanglement with Geometric Measures
Quantifying quantum entanglement is a pivotal challenge in quantum information science, particularly for high-dimensional systems, due to its computational complexity. This thesis extends the geometric measure of entanglement (GME) to introduce and investigate a suite of GME-based entanglement monotones tailored for diverse quantum contexts, including pure states, subspaces, and mixed states. These monotones are applicable to both bipartite and multipartite systems, offering a unified framework…

How Iranian and Israeli hacking groups spent years sparring online; the US State Department is offering $10M for info on the Iran-linked CyberAv3ngers group (Jordan Robertson/Bloomberg)
https://www.bloomberg.com/news/newsletters

Recognition through Reasoning: Reinforcing Image Geo-localization with Large Vision-Language Models
Ling Li, Yao Zhou, Yuxuan Liang, Fugee Tsung, Jiaheng Wei
https://arxiv.org/abs/2506.14674

Recognition through Reasoning: Reinforcing Image Geo-localization with Large Vision-Language Models
Previous methods for image geo-localization have typically treated the task as either classification or retrieval, often relying on black-box decisions that lack interpretability. The rise of large vision-language models (LVLMs) has enabled a rethinking of geo-localization as a reasoning-driven task grounded in visual cues. However, two major challenges persist. On the data side, existing reasoning-focused datasets are primarily based on street-view imagery, offering limited scene diversity and…

A Hierarchical Test Platform for Vision Language Model (VLM)-Integrated Real-World Autonomous Driving
Yupeng Zhou, Can Cui, Juntong Peng, Zichong Yang, Juanwu Lu, Jitesh H Panchal, Bin Yao, Ziran Wang
https://arxiv.org/abs/2506.14100

A Hierarchical Test Platform for Vision Language Model (VLM)-Integrated Real-World Autonomous Driving
Vision-Language Models (VLMs) have demonstrated notable promise in autonomous driving by offering the potential for multimodal reasoning through pretraining on extensive image-text pairs. However, adapting these models from broad web-scale data to the safety-critical context of driving presents a significant challenge, commonly referred to as domain shift. Existing simulation-based and dataset-driven evaluation methods, although valuable, often fail to capture the full complexity of real-world …

FedRAG: A Framework for Fine-Tuning Retrieval-Augmented Generation Systems
Val Andrei Fajardo, David B. Emerson, Amandeep Singh, Veronica Chatrath, Marcelo Lotif, Ravi Theja, Alex Cheung, Izuki Matsubi
https://arxiv.org/abs/2506.09200

FedRAG: A Framework for Fine-Tuning Retrieval-Augmented Generation Systems
Retrieval-augmented generation (RAG) systems have been shown to be effective in addressing many of the drawbacks of relying solely on the parametric memory of large language models. Recent work has demonstrated that RAG systems can be improved via fine-tuning of their retriever and generator models. In this work, we introduce FedRAG, a framework for fine-tuning RAG systems across centralized and federated architectures. FedRAG supports state-of-the-art fine-tuning methods, offering a simple and…

New article,
Degrowth as an Essential Part of an Eco-Socialist Transition
by Anna Gregoletto, on DegrowthUK
https://degrowthuk.org/2025/06/12/degrowth-as-an-essential-part-of-an-eco-socialist-transition/

Degrowth as an Essential Part of an Eco-Socialist Transition
by Anna Gregoletto* In the series Prospects for Degrowth Many thanks to Mark Burton for encouraging me to write this article and offering so many helpful suggestions. Thank you also to my comrades …

Embedding physical symmetries into machine-learned reduced plasma physics models via data augmentation
Madox C. McGrae-Menge, Jacob R. Pierce, Frederico Fiuza, E. Paulo Alves
https://arxiv.org/abs/2506.14048

Embedding physical symmetries into machine-learned reduced plasma physics models via data augmentation
Machine learning is offering powerful new tools for the development and discovery of reduced models of nonlinear, multiscale plasma dynamics from the data of first-principles kinetic simulations. However, ensuring the physical consistency of such models requires embedding fundamental symmetries of plasma dynamics. In this work, we explore a symmetry-embedding strategy based on data augmentation, where symmetry-preserving transformations (e.g., Lorentz and Galilean boosts) are applied to simulat…

ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection)
Ronal Singh, Mohan Baruwal Chhetri, Surya Nepal, Cecile Paris
https://arxiv.org/abs/2506.09365

ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection)
Modern Security Operations Centres (SOCs) integrate diverse tools, such as SIEM, IDS, and XDR systems, offering rich contextual data, including alert enrichments, flow features, and similar case histories. Yet, analysts must still manually determine which of these contextual cues are most relevant when validating specific alerts. We introduce ContextBuddy, an AI assistant that learns from analysts' prior investigations to help them identify the most relevant context for new alerts. Rather than …

Nonlinear bulk photocurrent probe Z2 topological phase transition
Debasis Dutta, Raihan Ahammed, Yingdong Wei, Xiaokai Pan, Xiaoshuang Chen, Lin Wang, Amit Agarwal
https://arxiv.org/abs/2506.13493

Nonlinear bulk photocurrent probe Z2 topological phase transition
Detecting topological phase transitions in bulk is challenging due to the limitations of surface sensitive probes like ARPES. Here, we demonstrate that nonlinear bulk photocurrents, specifically shift and injection currents, serve as effective probes of Z_2 topological transitions. These photocurrents show a robust polarity reversal across the Z_2 phase transition, offering a direct optical signature that distinguishes strong topological phases from weak or trivial ones. This effect originates …

Google has been downgrading the search results of smaller web sites offering human-written quality information, claims Nate Hake of Travel Lemming in a long explanation, citing many sources and developments.
Many of these changes appear to happen when #Google embraced #AI and removed the "hum…

Hi friends!
I set my alarm to 5am and headed out for a nice walk. It was getting warm, so I started early. - and it was just so good to do so!
A nice 6h walk with lots of views, lots of photos and just enjoying being out. End the #summit just for me 😍
On the way up I noted all places where I could refuel later using my water filter. Seriously: why didn't I buy that waaays ear…

Israeli observability startup Coralogix raised a $115M Series E led by NewView Capital at a $1B valuation, and plans to invest ~$100M in India over five years (Jagmeet Singh/TechCrunch)
https://techcrunch.com/2025/06/17/obse

Observability startup Coralogix becomes a unicorn, eyes India expansion | TechCrunch
Coralogix, an Israeli startup offering a full-stack observability and security platform, has raised $115 million at a pre-money valuation of over $1

3D Skin Segmentation Methods in Medical Imaging: A Comparison
Martina Paccini, Giuseppe Patan\`e
https://arxiv.org/abs/2506.11852 https://

3D Skin Segmentation Methods in Medical Imaging: A Comparison
Automatic segmentation of anatomical structures is critical in medical image analysis, aiding diagnostics and treatment planning. Skin segmentation plays a key role in registering and visualising multimodal imaging data. 3D skin segmentation enables applications in personalised medicine, surgical planning, and remote monitoring, offering realistic patient models for treatment simulation, procedural visualisation, and continuous condition tracking. This paper analyses and compares algorithmic an…

AI-Based Software Vulnerability Detection: A Systematic Literature Review
Samiha Shimmi, Hamed Okhravi, Mona Rahimi
https://arxiv.org/abs/2506.10280 https:…

AI-Based Software Vulnerability Detection: A Systematic Literature Review
Software vulnerabilities in source code pose serious cybersecurity risks, prompting a shift from traditional detection methods (e.g., static analysis, rule-based matching) to AI-driven approaches. This study presents a systematic review of software vulnerability detection (SVD) research from 2018 to 2023, offering a comprehensive taxonomy of techniques, feature representations, and embedding methods. Our analysis reveals that 91% of studies use AI-based methods, with graph-based models being th…

Disney launches a new perks program for Disney US subscribers, offering discounts, free items, and more; Hulu plans to debut its own perks program on June 2 (Thomas Buckley/Bloomberg)
https://www.bloomberg.com/news/articles/20

One For All: LLM-based Heterogeneous Mission Planning in Precision Agriculture
Marcos Abel Zuzu\'arregui, Mustafa Melih Toslak, Stefano Carpin
https://arxiv.org/abs/2506.10106

One For All: LLM-based Heterogeneous Mission Planning in Precision Agriculture
Artificial intelligence is transforming precision agriculture, offering farmers new tools to streamline their daily operations. While these technological advances promise increased efficiency, they often introduce additional complexity and steep learning curves that are particularly challenging for non-technical users who must balance tech adoption with existing workloads. In this paper, we present a natural language (NL) robotic mission planner that enables non-specialists to control heterogen…

FAD-Net: Frequency-Domain Attention-Guided Diffusion Network for Coronary Artery Segmentation using Invasive Coronary Angiography
Nan Mu, Ruiqi Song, Xiaoning Li, Zhihui Xu, Jingfeng Jiang, Chen Zhao
https://arxiv.org/abs/2506.11454

FAD-Net: Frequency-Domain Attention-Guided Diffusion Network for Coronary Artery Segmentation using Invasive Coronary Angiography
Background: Coronary artery disease (CAD) remains one of the leading causes of mortality worldwide. Precise segmentation of coronary arteries from invasive coronary angiography (ICA) is critical for effective clinical decision-making. Objective: This study aims to propose a novel deep learning model based on frequency-domain analysis to enhance the accuracy of coronary artery segmentation and stenosis detection in ICA, thereby offering robust support for the stenosis detection and treatment of …

Canary, which offers hotel guest management tools, raised an $80M Series D led by Brighton Park Capital, valuing the company at about $600M (Dominic-Madori Davis/TechCrunch)
https://techcrunch.com/2025/06/12/hotel-mana…

Hotel management platform Canary nabs $80M Series D from BPC, YC, Insight Partners | TechCrunch
Canary offers a product suite that encompasses every part of the guest journey, from booking to departure. The company offers services that let hotel guests check in on mobile devices or text the front desk for help. And it's leaning into AI in serving its customers’ guests through voice, web, and text with an LLM, sometimes offering instant responses.

Invariant Extended Kalman Filter for Autonomous Surface Vessels with Partial Orientation Measurements
Derek Benham, Easton Potokar, Joshua G. Mangelson
https://arxiv.org/abs/2506.10850

Invariant Extended Kalman Filter for Autonomous Surface Vessels with Partial Orientation Measurements
Autonomous surface vessels (ASVs) are increasingly vital for marine science, offering robust platforms for underwater mapping and inspection. Accurate state estimation, particularly of vehicle pose, is paramount for precise seafloor mapping, as even small surface deviations can have significant consequences when sensing the seafloor below. To address this challenge, we propose an Invariant Extended Kalman Filter (InEKF) framework designed to integrate partial orientation measurements. While con…

Apple unveils a standalone Games app, offering games from the App Store, a dedicated section for Apple Arcade, and Game Center social features like leaderboards (Benjamin Mayo/9to5Mac)
https://9to5mac.com/2025/06/09/apple-unveils-new-apple-games-app/

Apple unveils new Apple Games app - 9to5Mac
Apple today announced a new Apple Games app, a new destination for all the games on your iPhone and iPad....

Memo: Google offers voluntary buyouts to US staff in the knowledge and information organization, which includes core search and much of the ads organization (The Information)
https://www.theinformation.com/articles/google-offers-buyouts-empl…

Google Offers Buyouts to Employees in Search and Ads Unit
Google is offering voluntary buyouts to employees in the knowledge and information organization, which includes the company’s core search and much of the ads organization, a senior executive told staff on Tuesday. The move comes as Google’s search business faces unprecedented threats from ...

Sources: Meta plans to unveil an AI lab dedicated to "superintelligence", led by Scale AI CEO Alexandr Wang, and is offering seven- to nine-figure compensation (New York Times)
https://www.nytimes.com/2025/06/10/technology/meta-new-ai…

Meta Is Creating a New A.I. Lab to Pursue ‘Superintelligence’
The new lab, set to include Scale AI founder Alexandr Wang, is part of a reorganization of Meta’s artificial intelligence efforts under Mark Zuckerberg.

The UK's FCA plans to lift its ban on offering crypto exchange traded notes to retail investors "to support UK growth and competitiveness" (Ian Allison/CoinDesk)
https://www.coindesk.com/policy/2025/06/06/uk…

Sources: xAI is launching a $300M secondary stock offering that values the group at $113B, allowing staff to sell shares to new investors (Financial Times)
https://www.ft.com/content/703e93f1-28bf-4890-8c9c-141bf81dd206

Elon Musk’s xAI seeks $113bn valuation in $300mn share sale
Deal to allow investors to buy into group following March takeover of X

A former employee says fewer than 10,000 people use Ola Krutrim's LLM chatbot, which supports 10 Indian languages, and that over 60% of them are random testers (Swathi Moorthy/The Economic Times)
https://

Krutrim finds few takers for its LLMs and cloud products
Ola founder Aggarwal first announced Krutrim in December 2023, launching an LLM that could support 10 Indian languages, starting with Krutrim chatbot in February 2024, and cloud offering shortly after. Two founders told ET recently that repeated sign-in attempts were blocked by a persistent “logged out of session” error, making sign-up via mobile or Gmail difficult.

Filing: neobank Chime plans to sell 26M shares in its IPO at $24 to $26, giving it a valuation between $10.3B and $11.1B; its two co-founders own 4% to 5% each (Cory Weinberg/The Information)
https://www.theinformation.com/briefings/chime-sets-ipo-…

Chime Sets Tentative IPO Price at Around $10.7 Billion
Banking app Chime plans to sell shares in an initial public offering at a price that would value it at between $10.3 billion and $11.1 billion, on a fully-diluted basis, the company said in a new securities filing Monday. The company set the price range ahead of a roadshow to meet investors over the next week, ahead of its IPO. The per-share price of the range, between $24 and $26, is more

Source: Chime's IPO is expected to price at ~$11B, down from its $25B private valuation in 2021; every VC-backed IPO in the past 12 months has been a down round (Cory Weinberg/The Information)
https://www.theinformation.com/articles/every-vc-ba…

Every VC-Backed IPO in the Past 12 Months Has Been a Down Round
When banking app Chime goes public next month, it will mark the eighth straight venture capital–backed initial public offering in the past 12 months to be valued less than it was in private fundraising rounds. Chime, for instance, was valued at $25 billion in 2021, but its bankers have been ...