Tootfinder

Solve Intelligence, which offers generative AI tools to law firms for IP and patent law work, raised a $40M Series B, bringing its total funding to $55M (Mike Butcher/Pathfounders)
https://pathfounders.com/p/generative-ai-is-coming-for-ip

Generative AI is coming for IP and patent law, as Solve Intelligence raises its Series B
It looks like a swathe of older legal tech platforms are about to be hit by Generative AI startups. But are VCs using 'king-making' tactics to back the winners?

I’ve been testing a theory: many people who are high on #AI and #LLMs are just new to automation and don’t realize you can automate processes with simple programming, if/then conditions, and API calls with zero AI involved.
So far it’s been working!
Whenever I’ve been asked to make an AI flow or find a way to implement AI in our work with a client, I’ve returned back with an automation flow that uses 0 AI.
Things like “when a new document is added here, add a link to it in this spreadsheet and then create a task in our project management software assigned to X with label Y”.
And the people who were frothing at the mouth at how I must change my mind on AI have (so far) all responded with resounding enthusiasm and excitement.
They think it’s the same thing. They just don’t understand how much automation is possible without any generative tools.

Bob Iger says upcoming changes to Disney include "game-like features" and "mostly short-form" user-generated content made with generative AI (Tony Maglio/The Hollywood Reporter)
https://www.hollywoodreporter.com/business

Disney+ to Allow User-Generated Content Via AI
Disney CEO Bob Iger hinted at "productive conversations" with unnamed AI companies that would protect IP but add new features to the studio's flagship streaming service.

How Students Use Generative AI for Software Testing: An Observational Study
Baris Ardic, Quentin Le Dilavrec, Andy Zaidman
https://arxiv.org/abs/2510.10551 https://

How Students Use Generative AI for Software Testing: An Observational Study
The integration of generative AI tools like ChatGPT into software engineering workflows opens up new opportunities to boost productivity in tasks such as unit test engineering. However, these AI-assisted workflows can also significantly alter the developer's role, raising concerns about control, output quality, and learning, particularly for novice developers. This study investigates how novice software developers with foundational knowledge in software testing interact with generative AI for e…

Barriers that Programming Instructors Face While Performing Emergency Pedagogical Design to Shape Student-AI Interactions with Generative AI Tools
Sam Lau (University of California San Diego), Kianoosh Boroojeni (Florida International University), Harry Keeling (Howard University), Jenn Marroquin (Google)
https://arxiv.org/abs/2510.09492…

Barriers that Programming Instructors Face While Performing Emergency Pedagogical Design to Shape Student-AI Interactions with Generative AI Tools
Generative AI (GenAI) tools are increasingly pervasive, pushing instructors to redesign how students use GenAI tools in coursework. We conceptualize this work as emergency pedagogical design: reactive, indirect efforts by instructors to shape student-AI interactions without control over commercial interfaces. To understand practices of lead users conducting emergency pedagogical design, we conducted interviews (n=13) and a survey (n=169) of computing instructors. These instructors repeatedly en…

Sage advice about artificial intelligence: "Do your own original thinking first."
Because “Plans are worthless, but planning is everything.” 
https://open.substack.com/pub/philkoopman/p/plans-plan…

Plans, Planning, and Generative AI
The creative experience often matters more than the creative output. Be smart about how to use GenAI in that situation.

Never have I seen a more pointed example of "generative AI is very good at cliché"
https://www.theguardian.com/technology/2025/jul/14/an-ai-generated-band-got-1m-plays-on-spotify-now-m…

Evolutionary Computation as Natural Generative AI
Yaxin Shi, Abhishek Gupta, Ying Wu, Melvin Wong, Ivor Tsang, Thiago Rios, Stefan Menzel, Bernhard Sendhoff, Yaqing Hou, Yew-Soon Ong
https://arxiv.org/abs/2510.08590

Evolutionary Computation as Natural Generative AI
Generative AI (GenAI) has achieved remarkable success across a range of domains, but its capabilities remain constrained to statistical models of finite training sets and learning based on local gradient signals. This often results in artifacts that are more derivative than genuinely generative. In contrast, Evolutionary Computation (EC) offers a search-driven pathway to greater diversity and creativity, expanding generative capabilities by exploring uncharted solution spaces beyond the limits …

The Mechanical Yes-Man: Emancipatory AI Pedagogy in Higher Education
Linda Rocco
https://arxiv.org/abs/2510.10176 https://arxiv.org/pdf/2510.10176

The Mechanical Yes-Man: Emancipatory AI Pedagogy in Higher Education
The proliferation of Large Language Models in higher education presents a fundamental challenge to traditional pedagogical frameworks. Drawing on Jacques Rancière's theory of intellectual emancipation, this paper examines how generative AI risks becoming a "mechanical yes-man" that reinforces passivity rather than fostering intellectual autonomy. Generative AI's statistical logic and lack of causal reasoning, combined with frictionless information access, threatens to hollow out cognitive proc…

Characterizing Web Search in The Age of Generative AI
Elisabeth Kirsten, Jost Grosse Perdekamp, Mihir Upadhyay, Krishna P. Gummadi, Muhammad Bilal Zafar
https://arxiv.org/abs/2510.11560

Characterizing Web Search in The Age of Generative AI
The advent of LLMs has given rise to a new type of web search: Generative search, where LLMs retrieve web pages related to a query and generate a single, coherent text as a response. This output modality stands in stark contrast to traditional web search, where results are returned as a ranked list of independent web pages. In this paper, we ask: Along what dimensions do generative search outputs differ from traditional web search? We compare Google, a traditional web search engine, with four g…

Chronologically Consistent Generative AI
Songrun He, Linying Lv, Asaf Manela, Jimmy Wu
https://arxiv.org/abs/2510.11677 https://arxiv.org/pdf/2510.11677

Chronologically Consistent Generative AI
We introduce a family of chronologically consistent, instruction-following large language models to eliminate lookahead bias. Each model is trained only on data available before a clearly defined knowledge-cutoff date, ensuring strict temporal separation from any post-cutoff data. The resulting framework offers (i) a simple, conversational chat interface, (ii) fully open, fixed model weights that guarantee replicability, and (iii) a conservative lower bound on forecast accuracy, isolating the s…

MCMC: Bridging Rendering, Optimization and Generative AI
Gurprit Singh, Wenzel Jakob
https://arxiv.org/abs/2510.09078 https://arxiv.org/pdf/2510.09078

MCMC: Bridging Rendering, Optimization and Generative AI
Generative artificial intelligence (AI) has made unprecedented advances in vision language models over the past two years. During the generative process, new samples (images) are generated from an unknown high-dimensional distribution. Markov Chain Monte Carlo (MCMC) methods are particularly effective in drawing samples from such complex, high-dimensional distributions. This makes MCMC methods an integral component for models like EBMs, ensuring accurate sample generation. Gradient-based opti…

Samsung rolls out its Vision AI Companion, a generative AI-powered upgrade to its Bixby assistant, across its 2025 TV lineup, with support for 10 languages (Dominic Preston/The Verge)
https://www.theverge.com/news/818355/samsung-tvs-bixby-generative-ai-con…

Samsung brings a generative AI-powered Bixby to its TVs
Samsung Vision AI Companion will let you ask Bixby questions about what’s on screen in real time, powered by Copilot and Perplexity.

Ok, time for a little #rant
One aspect of (generative) AI in education that I have become increasingly aware of is the role AI plays in magnifying the results-oriented culture we have created. Grades and publication metrics are designed to measure the achievement of individuals as compared to other individuals. For students, better grades mean admission to the next degree or a better job. For…

Generative AI and the Transformation of Software Development Practices
Vivek Acharya
https://arxiv.org/abs/2510.10819 https://arxiv.org/pdf/2510.10819

Generative AI and the Transformation of Software Development Practices
Generative AI is reshaping how software is designed, written, and maintained. Advances in large language models (LLMs) are enabling new development styles - from chat-oriented programming and 'vibe coding' to agentic programming - that can accelerate productivity and broaden access. This paper examines how AI-assisted techniques are changing software engineering practice, and the related issues of trust, accountability, and shifting skills. We survey iterative chat-based development, multi-agen…

Maybe the best way to stop Generative AI, is simply to abandon services and software that include, support and encourage it. Seek other options... always pick those that support organic humans instead.
#NoAI

Between Knowledge and Care: Evaluating Generative AI-Based IUI in Type 2 Diabetes Management Through Patient and Physician Perspectives
Yibo Meng, Ruiqi Chen, Zhiming Liu, Xiaolan Ding, Yan Guan
https://arxiv.org/abs/2510.10048

Between Knowledge and Care: Evaluating Generative AI-Based IUI in Type 2 Diabetes Management Through Patient and Physician Perspectives
Generative AI systems are increasingly adopted by patients seeking everyday health guidance, yet their reliability and clinical appropriateness remain uncertain. Taking Type 2 Diabetes Mellitus (T2DM) as a representative chronic condition, this paper presents a two-part mixed-methods study that examines how patients and physicians in China evaluate the quality and usability of AI-generated health information. Study~1 analyzes 784 authentic patient questions to identify seven core categories of …

Good examples in that article for why a prompt-based system for system administration seems odd: You type a hundred-word question and are told by the AI to use apt when the Fedora system doesn’t use that package manager at all. https://mstdn.social/@osnews/115702679695335298

Domain Knowledge Infused Generative Models for Drug Discovery Synthetic Data
Bing Hu, Jong-Hoon Park, Helen Chen, Young-Rae Cho, Anita Layton
https://arxiv.org/abs/2510.09837 ht…

Domain Knowledge Infused Generative Models for Drug Discovery Synthetic Data
The role of Artificial Intelligence (AI) is growing in every stage of drug development. Nevertheless, a major challenge in drug discovery AI remains: Drug pharmacokinetic (PK) and Drug-Target Interaction (DTI) datasets collected in different studies often exhibit limited overlap, creating data overlap sparsity. Thus, data curation becomes difficult, negatively impacting downstream research investigations in high-throughput screening, polypharmacy, and drug combination. We propose xImagand-DKI, …

Advancing credibility and transparency in brain-to-image reconstruction research: Reanalysis of Koide-Majima, Nishimoto, and Majima https://arxiv.org/abs/2511.07960 by @… et al.;

Advancing credibility and transparency in brain-to-image reconstruction research: Reanalysis of Koide-Majima, Nishimoto, and Majima (Neural Networks, 2024)
A recent high-profile study by Koide-Majima et al. (2024) claimed a major advance in reconstructing visual imagery from brain activity using a novel variant of a generative AI-based method. However, our independent reanalysis reveals multiple methodological concerns that raise questions about the validity of their conclusions. Specifically, our evaluation demonstrates that: (1) the reconstruction results are biased by selective reporting of only the best-performing examples at multiple levels; …

What Generative Search Engines Like and How to Optimize Web Content Cooperatively
Yujiang Wu, Shanshan Zhong, Yubin Kim, Chenyan Xiong
https://arxiv.org/abs/2510.11438 https://

What Generative Search Engines Like and How to Optimize Web Content Cooperatively
By employing large language models (LLMs) to retrieve documents and generate natural language responses, Generative Engines, such as Google AI overview and ChatGPT, provide significantly enhanced user experiences and have rapidly become the new form of search. Their rapid adoption also drives the needs of Generative Engine Optimization (GEO), as content providers are eager to gain more traction from them. In this paper, we introduce AutoGEO, a framework to automatically learn generative engine …

I think there’s a real possibility that local, running on consumer electronic devices, generative AI without the need for expensive processors, data centers, massive amounts of water and electricity may well be the actual long term way forward for generative AIs like LLM, image and video generators.
#tech #ai

Revisiting Trust in the Era of Generative AI: Factorial Structure and Latent Profiles
Haocan Sun, Weizi Liu, Di Wu, Guoming Yu, Mike Yao
https://arxiv.org/abs/2510.10199 https:/…

Revisiting Trust in the Era of Generative AI: Factorial Structure and Latent Profiles
Trust is one of the most important factors shaping whether and how people adopt and rely on artificial intelligence (AI). Yet most existing studies measure trust in terms of functionality, focusing on whether a system is reliable, accurate, or easy to use, while giving less attention to the social and emotional dimensions that are increasingly relevant for today's generative AI (GenAI) systems. These systems do not just process information; they converse, respond, and collaborate with users, bl…

AI-assisted Programming May Decrease the Productivity of Experienced Developers by Increasing Maintenance Burden
Feiyang (Amber), Xu, Poonacha K. Medappa, Murat M. Tunc, Martijn Vroegindeweij, Jan C. Fransoo
https://arxiv.org/abs/2510.10165

AI-assisted Programming May Decrease the Productivity of Experienced Developers by Increasing Maintenance Burden
Generative AI solutions like GitHub Copilot have been shown to increase the productivity of software developers. Yet prior work remains unclear on the quality of code produced and the challenges of maintaining it in software projects. If quality declines as volume grows, experienced developers face increased workloads reviewing and reworking code from less-experienced contributors. We analyze developer activity in Open Source Software (OSS) projects following the introduction of GitHub Copilot.…

Agentic generative AI for media content discovery at the national football league
Henry Wang, Sirajus Salekin, Jake Lee, Ross Claytor, Shinan Zhang, Michael Chi
https://arxiv.org/abs/2510.07297

Agentic generative AI for media content discovery at the national football league
Generative AI has unlocked new possibilities in content discovery and management. Through collaboration with the National Football League (NFL), we demonstrate how a generative-AI based workflow enables media researchers and analysts to query relevant historical plays using natural language rather than traditional filter-and-click interfaces. The agentic workflow takes a user query as input, breaks it into elements, and translates them into the underlying database query language. Accuracy and l…

Survey of six countries, including the US, finds 6% use AI to get news, and 12% feel comfortable with fully AI-generated news vs. 62% with human-made news (Reuters Institute)
https://reutersinstitute.politics.ox.a

DCP: Addressing Input Dynamism In Long-Context Training via Dynamic Context Parallelism
Chenyu Jiang, Zhenkun Cai, Ye Tian, Zhen Jia, Yida Wang, Chuan Wu
https://arxiv.org/abs/2510.10620

DCP: Addressing Input Dynamism In Long-Context Training via Dynamic Context Parallelism
Context parallelism has emerged as a key technique to support long-context training, a growing trend in generative AI for modern large models. However, existing context parallel methods rely on static parallelization configurations that overlook the dynamic nature of training data, specifically, the variability in sequence lengths and token relationships (i.e., attention patterns) across samples. As a result, these methods often suffer from unnecessary communication overhead and imbalanced comp…

Indonesia's film industry is embracing AI tools to produce Hollywood-style movies at a significantly lower cost; the average local film budget is about $602,500 (Linda Yulisman/Rest of World)
https://restofworld.org/2025/indonesia-ai-movies/

Indonesia’s film industry embraces AI to make Hollywood-style movies for cheap
Generative AI video and text tools are transforming some of the labor-intensive parts of filmmaking, and are largely welcomed in Indonesia’s homegrown industry.

I'm letting my 1240-day Duolingo streak die tonight. The company's hard turn towards generative AI as the future of the app (https://technologymagazine.com/ai-and-machine-learning/duolingos-ai-first-strategy-explained), the subsequent…

Automated Glaucoma Report Generation via Dual-Attention Semantic Parallel-LSTM and Multimodal Clinical Data Integration
Cheng Huang, Weizheng Xie, Zeyu Han, Tsengdar Lee, Karanjit Kooner, Jui-Ka Wang, Ning Zhang, Jia Zhang
https://arxiv.org/abs/2510.10037

Automated Glaucoma Report Generation via Dual-Attention Semantic Parallel-LSTM and Multimodal Clinical Data Integration
Generative AI for automated glaucoma diagnostic report generation faces two predominant challenges: content redundancy in narrative outputs and inadequate highlighting of pathologically significant features including optic disc cupping, retinal nerve fiber layer defects, and visual field abnormalities. These limitations primarily stem from current multimodal architectures' insufficient capacity to extract discriminative structural-textural patterns from fundus imaging data while maintaining pre…

"How a Teaching-Focused Institution Approaches AI Literacy"
https://katinamagazine.org/content/article/future-of-work/2025/ai-literacy-at-a-teaching-focused-institution
"At the Institute of Inner-City …

ProGress: Structured Music Generation via Graph Diffusion and Hierarchical Music Analysis
Stephen Ni-Hahn, Chao P\'eter Yang, Mingchen Ma, Cynthia Rudin, Simon Mak, Yue Jiang
https://arxiv.org/abs/2510.10249

ProGress: Structured Music Generation via Graph Diffusion and Hierarchical Music Analysis
Artificial Intelligence (AI) for music generation is undergoing rapid developments, with recent symbolic models leveraging sophisticated deep learning and diffusion model algorithms. One drawback with existing models is that they lack structural cohesion, particularly on harmonic-melodic structure. Furthermore, such existing models are largely "black-box" in nature and are not musically interpretable. This paper addresses these limitations via a novel generative music framework that incorporate…

Generative AI for Software Project Management: Insights from a Review of Software Practitioner Literature
Lakshana Iruni Assalaarachchi, Zainab Masood, Rashina Hoda, John Grundy
https://arxiv.org/abs/2510.10887

Generative AI for Software Project Management: Insights from a Review of Software Practitioner Literature
Software practitioners are discussing GenAI transformations in software project management openly and widely. To understand the state of affairs, we performed a grey literature review using 47 publicly available practitioner sources including blogs, articles, and industry reports. We found that software project managers primarily perceive GenAI as an "assistant", "copilot", or "friend" rather than as a "PM replacement", with support of GenAI in automating routine tasks, predictive analytics, co…

Creation, Critique, and Consumption: Exploring Generative AI Descriptions for Supporting Blind and Low Vision Professionals with Visual Tasks
Lucy Jiang, Lotus Zhang, Leah Findlater
https://arxiv.org/abs/2510.08991

Creation, Critique, and Consumption: Exploring Generative AI Descriptions for Supporting Blind and Low Vision Professionals with Visual Tasks
Many blind and low vision (BLV) people are excluded from professional roles that may involve visual tasks due to access barriers and persisting stigmas. Advancing generative AI systems can support BLV people through providing contextual and personalized visual descriptions for creation, critique, and consumption. In this workshop paper, we provide design suggestions for how visual descriptions can be better contextualized for multiple professional tasks. We conclude by discussing how these desi…

From Prompts to Packets: A View from the Network on ChatGPT, Copilot, and Gemini
Antonio Montieri, Alfredo Nascita, Antonio Pescap\`e
https://arxiv.org/abs/2510.11269 https://…

From Prompts to Packets: A View from the Network on ChatGPT, Copilot, and Gemini
Generative AI (GenAI) chatbots are now pervasive in digital ecosystems, yet their network traffic remains largely underexplored. This study presents an in-depth investigation of traffic generated by three leading chatbots (ChatGPT, Copilot, and Gemini) when accessed via Android mobile apps for both text and image generation. Using a dedicated capture architecture, we collect and label two complementary workloads: a 60-hour generic dataset with unconstrained prompts, and a controlled dataset bui…

I see that with a lot of criticism of generative "AI"—people state that obviously it's completely unreliable and untrustworthy for _their domain of expertise_ but they'll somehow gladly use it for other stuff.
I believe this cognitive dissonance has to do with how the chatbots pretend to be humans and trick us to assume agency when there is none.
Anyway, as I said otherwise it's great, you should read it: https://theoatmeal.com/comics/ai_art

Menlo Ventures: business spending on generative AI hit $37B in 2025, up from $11.5B in 2024; Anthropic's share of enterprise LLM spend grew from 24% to 40% YoY (Menlo Ventures)
https://menlovc.com/perspective/2025-the-state-of-generative-ai-in-the-enter…

2025: The State of Generative AI in the Enterprise | Menlo Ventures
For all the fears of over-investment, AI is spreading across enterprises at a pace with no precedent in modern software history.

AI and the railway mania
Michael Roberts.
"A widely cited study from MIT found that so far, 95 per cent of generative AI projects produce no return in productivity growth or profits. To justify the required investment, annual data-centre revenues would need to rise from $20bn today to about $2trn.  Existing revenues will fall short by $800bn.."

AI and the railway mania
The AI bubble continues. The Magnificent Seven of tech media continue to drive the US stock market, along with the AI companies. The ten largest US companies by stock market value, holdin…

Det er allerede beskrevet hvordan ondsindede aktŸrer kan indfŸre desinformation i generative sprogmodeller. Her er det så historien om salg af Flügger-maling til Rusland der er blevet manipuleret:
https://www.dr.dk/nyheder/penge/pludselig-

Pludselig dukkede nyhed op, der kaldte Flügger-beskyldninger for 'ondsindede': 'Googles AI er blevet forgiftet'
Russere forsøger at manipulere og misinformere om dansk sanktionssag, vurderer eksperter.

When "AI" search engines look for sources, they go for fringe and not established quality sites. What could possibly go wrong?
(Original title: AI-powered search engines rely on “less popular” sources, researchers find)
https://arstechnica.com/a…

AI-powered search engines rely on “less popular” sources, researchers find
Generative search engines often cite sites that wouldn’t appear in Google’s top 100 links.

I gave a lightning talk about the use of generative #AI at our engineering offsite this week. My general conclusion is that it is useful in some places but where you are a domain expert the gains might not be there. Just before the talk I came across this study:

Measuring the Impact of Early-2025 AI on Experienced Open-Source Developer Productivity

DC Comics President and Publisher Jim Lee says the company won't support AI-generated storytelling or artwork, as long as he and SVP Anne DePies are in charge (Jess Weatherbed/The Verge)
https://www.theverge.com/news/797540/dc-comics-jim-lee-no-generative-a…

DC Comics won’t support generative AI: ‘not now, not ever’
DC Comics president and publisher Jim Lee said that the company “will not support AI-generated storytelling or artwork.”

A very in depth analysis of oncoming train of destruction that will be left by Generative AI
#AI
https://www.wheresyoured.at/the-case-against-generative-ai/?ref=ed-zitrons-wheres-your-ed-at-newsletter

"Class warfare through enshittification" is a good way of putting it. People hate it when you put capitalism criticism into your AI criticism but how dare you not to when they basically build infrastructures to discipline and deskill us all? Hagen Blix interviewed by Blood In The Machine
https:…

"AI is an attack from above on wages": An interview with cognitive scientist Hagen Blix
The author of 'Why We Fear AI' on why he sees generative AI as "class warfare through enshittification."

Surprise ... "engineers who allegedly used AI to write a code snippet were perceived as less competent than those who didn’t (and female engineers were disproportionately penalized).
https://hbr.org/2025/09/ai-generated-workslop-is-destroying-productivity

AI-Generated “Workslop” Is Destroying Productivity
Despite a surge in generative AI use across workplaces, most companies are seeing little measurable ROI. One possible reason is because AI tools are being used to produce “workslop”—content that appears polished but lacks real substance, offloading cognitive labor onto coworkers. Research from BetterUp Labs and Stanford found that 41% of workers have encountered such AI-generated output, costing nearly two hours of rework per instance and creating downstream productivity, trust, and colla…

Crosslisted article(s) found for q-fin.GN. https://arxiv.org/list/q-fin.GN/new
[1/1]:
- Chronologically Consistent Generative AI
Songrun He, Linying Lv, Asaf Manela, Jimmy Wu

What the heck...
"erasing open source code provenance", or rather, infringing licenses
https://www.zdnet.com/article/why-open-source-may-not-survive-the-rise-of-generative-ai/

Why open source may not survive the rise of generative AI
Generative AI may be eroding the foundation of open source software. Provenance, licensing, and reciprocity are breaking down.

Position: AI Will Transform Neuropsychology Through Mental Health Digital Twins for Dynamic Mental Health Care, Especially for ADHD
Neil Natarajan, Sruthi Viswanathan, Xavier Roberts-Gaal, Michelle Marie Martel
https://arxiv.org/abs/2510.07409

Position: AI Will Transform Neuropsychology Through Mental Health Digital Twins for Dynamic Mental Health Care, Especially for ADHD
Static solutions don't serve a dynamic mind. Thus, we advocate a shift from static mental health diagnostic assessments to continuous, artificial intelligence (AI)-driven assessment. Focusing on Attention-Deficit/Hyperactivity Disorder (ADHD) as a case study, we explore how generative AI has the potential to address current capacity constraints in neuropsychology, potentially enabling more personalized and longitudinal care pathways. In particular, AI can efficiently conduct frequent, low-level…

This is a genuinely good idea, and I'd urge you to sign it. Make #AI generated works immediately identifiable. It would be interesting also to require a similar 'watermark' in generated texts -- perhaps a particular sequence of whitespace characters.
#generativeAI
H/t

Petition: Require generative AI watermarks & ban using people’s likeness without consent
As AI generated content becomes increasingly realistic, we think laws should be put in place to prevent misuse. All such media should carry a permanent watermark or disclosure, alongside a blanket ban on using anyone’s likeness in AI-generated content without consent.

VelLMes: A high-interaction AI-based deception framework
Muris Sladi\'c (Czech Technical University in Prague), Veronica Valeros (Czech Technical University in Prague), Carlos Catania (CONICET, UNCuyo), Sebastian Garcia (Czech Technical University in Prague)
https://arxiv.org/abs/2510.06975

VelLMes: A high-interaction AI-based deception framework
There are very few SotA deception systems based on Large Language Models. The existing ones are limited only to simulating one type of service, mainly SSH shells. These systems - but also the deception technologies not based on LLMs - lack an extensive evaluation that includes human attackers. Generative AI has recently become a valuable asset for cybersecurity researchers and practitioners, and the field of cyber-deception is no exception. Researchers have demonstrated how LLMs can be leverage…

«Grantees must ensure that all submitted work can be legally published under a FLOS licence. This includes verifying that GenAI-assisted outputs do not reproduce copyrighted or incompatible material.»
That's one way of saying "you can't use generative 'AI' when we fund you" 😅
https://nlnet.nl/foundation/policies/generativeAI/

Indonesia's film industry is embracing AI tools to produce Hollywood-style movies at a significantly lower cost; the average local film budget is about $602,500 (Linda Yulisman/Rest of World)
https://restofworld.org/2025/indonesia-ai-movies/

Indonesia’s film industry embraces AI to make Hollywood-style movies for cheap
Generative AI video and text tools are transforming some of the labor-intensive parts of filmmaking, and are largely welcomed in Indonesia’s homegrown industry.

"regardless of the underlying technology, the pursuit of artificial general intelligence is not necessarily the most efficient route to useful applications. Artificial specific intelligence (AI approaches focused on a specific domain, such as the Nobel prize-winning, protein-folding algorithm, AlphaFold2) gives more reliable and transparent results by combining the subtle pattern detection at which GenAI excels with explicitly encoded, domain-specific knowledge."

Here's a great webcomic essay on generative model ("#AI") art by @…
https://the…

A cartoonist's review of AI art - The Oatmeal
This is a comic about AI art.

Memory-Augmented Generative AI for Real-time Wireless Prediction in Dynamic Industrial Environments
Rahul Gulia, Amlan Ganguly, Michael E. Kuhl, Ehsan Rashedi, Clark Hochgraf
https://arxiv.org/abs/2510.06884

Memory-Augmented Generative AI for Real-time Wireless Prediction in Dynamic Industrial Environments
Accurate and real-time prediction of wireless channel conditions, particularly the Signal-to-Interference-plus-Noise Ratio (SINR), is a foundational requirement for enabling Ultra-Reliable Low-Latency Communication (URLLC) in highly dynamic Industry 4.0 environments. Traditional physics-based or statistical models fail to cope with the spatio-temporal complexities introduced by mobile obstacles and transient interference inherent to smart warehouses. To address this, we introduce Evo-WISVA (Evo…

UK intelligence warns AI 'prompt injection' attacks might never go away https://therecord.media/prompt-injection-attacks-uk-intelligence-warning

»The research, based on a survey of 1,150 workers, is the latest analysis to suggest that the injection of AI tools into the workplace has not resulted in some magic productivity boom and instead has just increased the amount of time that workers say they spend fixing low-quality AI-generated “work.”«
Read in the most recent @… newsletter. The researc…

AI-Generated “Workslop” Is Destroying Productivity
Despite a surge in generative AI use across workplaces, most companies are seeing little measurable ROI. One possible reason is because AI tools are being used to produce “workslop”—content that appears polished but lacks real substance, offloading cognitive labor onto coworkers. Research from BetterUp Labs and Stanford found that 41% of workers have encountered such AI-generated output, costing nearly two hours of rework per instance and creating downstream productivity, trust, and colla…

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[1/9]:
- Advancing Automated Urban Planning: Exploring Algorithmic Approaches with Generative Artificial I...
Dongjie Wang, Chang-Tien Lu, Xinyue Ye, Tan Yigitcanlar, Yanjie Fu

Excited, Skeptical, or Worried? A Multi-Institutional Study of Student Views on Generative AI in Computing Education
Isaac Alpizar-Chacon, Hieke Keuning, Imke de Jong, Ioanna Lykourentzou, Susan Rings
https://arxiv.org/abs/2510.03107

Excited, Skeptical, or Worried? A Multi-Institutional Study of Student Views on Generative AI in Computing Education
The application of Artificial Intelligence, in particular Generative AI, has become more widespread among educational institutions. Opinions vary widely on whether integrating AI into classrooms is the way forward or if it is detrimental to the quality of education. Increasingly, research studies are giving us more insight into the consequences of using AI tools in learning and teaching. Studies have shown how, when, and why students use AI tools. Because developments regarding the technology a…

Exploring Human-AI Collaboration Using Mental Models of Early Adopters of Multi-Agent Generative AI Tools
Suchismita Naik, Austin L. Toombs, Amanda Snellinger, Scott Saponas, Amanda K. Hall
https://arxiv.org/abs/2510.06224

Exploring Human-AI Collaboration Using Mental Models of Early Adopters of Multi-Agent Generative AI Tools
With recent advancements in multi-agent generative AI (Gen AI), technology organizations like Microsoft are adopting these complex tools, redefining AI agents as active collaborators in complex workflows rather than as passive tools. In this study, we investigated how early adopters and developers conceptualize multi-agent Gen AI tools, focusing on how they understand human-AI collaboration mechanisms, general collaboration dynamics, and transparency in the context of AI tools. We conducted sem…

"A confusing contradiction is unfolding in companies embracing generative AI tools: while workers are largely following mandates to embrace the technology, few are seeing it create real value. [...] In collaboration with Stanford Social Media Lab, our research team at BetterUp Labs has identified one possible reason: Employees are using AI tools to create low-effort, passable looking work that ends up creating more work for their coworkers."
"Unlike this mental outsourc…

AI-Generated “Workslop” Is Destroying Productivity
Despite a surge in generative AI use across workplaces, most companies are seeing little measurable ROI. One possible reason is because AI tools are being used to produce “workslop”—content that appears polished but lacks real substance, offloading cognitive labor onto coworkers. Research from BetterUp Labs and Stanford found that 41% of workers have encountered such AI-generated output, costing nearly two hours of rework per instance and creating downstream productivity, trust, and colla…

Attribution-by-design: Ensuring Inference-Time Provenance in Generative Music Systems
Fabio Morreale, Wiebke Hutiri, Joan Serr\`a, Alice Xiang, Yuki Mitsufuji
https://arxiv.org/abs/2510.08062

Attribution-by-design: Ensuring Inference-Time Provenance in Generative Music Systems
The rise of AI-generated music is diluting royalty pools and revealing structural flaws in existing remuneration frameworks, challenging the well-established artist compensation systems in the music industry. Existing compensation solutions, such as piecemeal licensing agreements, lack scalability and technical rigour, while current data attribution mechanisms provide only uncertain estimates and are rarely implemented in practice. This paper introduces a framework for a generative music infras…

Generative World Modelling for Humanoids: 1X World Model Challenge Technical Report
Riccardo Mereu, Aidan Scannell, Yuxin Hou, Yi Zhao, Aditya Jitta, Antonio Dominguez, Luigi Acerbi, Amos Storkey, Paul Chang
https://arxiv.org/abs/2510.07092

Generative World Modelling for Humanoids: 1X World Model Challenge Technical Report
World models are a powerful paradigm in AI and robotics, enabling agents to reason about the future by predicting visual observations or compact latent states. The 1X World Model Challenge introduces an open-source benchmark of real-world humanoid interaction, with two complementary tracks: sampling, focused on forecasting future image frames, and compression, focused on predicting future discrete latent codes. For the sampling track, we adapt the video generation foundation model Wan-2.2 TI2V-…

"Dispensing false information in a confident tone, rather than offering no answer when none is readily available, is a major flaw of generative AI, experts say. An audit of the top 10 generative AI model... by the media literacy non-profit NewsGuard revealed that the non-response rates of chatbots went down from 31% in August 2024 to 0% in August 2025. At the same time, the chatbots’ likelihood of repeating false information almost doubled from 18% to 35%"

TikTok Shop says fraudulent sellers are using AI to create fake brands and nonexistent products; TikTok rejected 70M products and banned 700K sellers in H1 2025 (Dan Whateley/Business Insider)
https://www.businessinsider.com/tiktok-shop-exec-a…

'It's organized crime': TikTok Shop says it's fighting a new wave of AI scammers
Generative AI is a powerful new tool for fraudsters trying to sell fake products, TikTok Shop's governance leader Nicolas Waldmann said.

Leveraging Generative AI for large-scale prediction-based networking
Mathias Thorsager, Israel Leyva-Mayorga, Petar Popovski
https://arxiv.org/abs/2510.05797 https://

Leveraging Generative AI for large-scale prediction-based networking
The traditional role of the network layer is to create an end-to-end route, through which the intermediate nodes replicate and forward the packets towards the destination. This role can be radically redefined by exploiting the power of Generative AI (GenAI) to pivot towards a prediction-based network layer, which addresses the problems of throughput limits and uncontrollable latency. In the context of real-time delivery of image content, the use of GenAI-aided network nodes has been shown to im…

A Hybrid CAPTCHA Combining Generative AI with Keystroke Dynamics for Enhanced Bot Detection
Ayda Aghaei Nia
https://arxiv.org/abs/2510.02374 https://arxiv.…

A Hybrid CAPTCHA Combining Generative AI with Keystroke Dynamics for Enhanced Bot Detection
Completely Automated Public Turing tests to tell Computers and Humans Apart (CAPTCHAs) are a foundational component of web security, yet traditional implementations suffer from a trade-off between usability and resilience against AI-powered bots. This paper introduces a novel hybrid CAPTCHA system that synergizes the cognitive challenges posed by Large Language Models (LLMs) with the behavioral biometric analysis of keystroke dynamics. Our approach generates dynamic, unpredictable questions tha…

The Rise of the Knowledge Sculptor: A New Archetype for Knowledge Work in the Age of Generative AI
Cathal Doyle
https://arxiv.org/abs/2510.07829 https://ar…

The Rise of the Knowledge Sculptor: A New Archetype for Knowledge Work in the Age of Generative AI
In the Generative Age, the nature of knowledge work is transforming. Traditional models that emphasise the organisation and retrieval of pre-existing information are increasingly inadequate in the face of generative AI (GenAI) systems capable of autonomous content creation. This paper introduces the Knowledge Sculptor (KS), a new professional archetype for Human-GenAI collaboration that transforms raw AI output into trustworthy, actionable knowledge. Grounded in a socio-technical perspective, t…

"Low effort, unhelpful AI generated work is having a significant impact on collaboration at work. Approximately half of the people we surveyed viewed colleagues who sent workslop as less creative, capable, and reliable than they did before receiving the output. Forty-two percent saw them as less trustworthy, "
(Original title: AI-Generated “Workslop” Is Destroying Productivity)

AI-Generated “Workslop” Is Destroying Productivity
Despite a surge in generative AI use across workplaces, most companies are seeing little measurable ROI. One possible reason is because AI tools are being used to produce “workslop”—content that appears polished but lacks real substance, offloading cognitive labor onto coworkers. Research from BetterUp Labs and Stanford found that 41% of workers have encountered such AI-generated output, costing nearly two hours of rework per instance and creating downstream productivity, trust, and colla…

Lightweight Prompt Engineering for Cognitive Alignment in Educational AI: A OneClickQuiz Case Study
Antoun Yaacoub, Zainab Assaghir, J\'er\^ome Da-Rugna
https://arxiv.org/abs/2510.03374

Lightweight Prompt Engineering for Cognitive Alignment in Educational AI: A OneClickQuiz Case Study
The rapid integration of Artificial Intelligence (AI) into educational technology promises to revolutionize content creation and assessment. However, the quality and pedagogical alignment of AI-generated content remain critical challenges. This paper investigates the impact of lightweight prompt engineering strategies on the cognitive alignment of AI-generated questions within OneClickQuiz, a Moodle plugin leveraging generative AI. We evaluate three prompt variants-a detailed baseline, a simple…

Past, Present, and Future of Bug Tracking in the Generative AI Era
Utku Boran Torun, Mehmet Taha Demircan, Mahmut Furkan G\"on, Eray T\"uz\"un
https://arxiv.org/abs/2510.08005

Past, Present, and Future of Bug Tracking in the Generative AI Era
Traditional bug tracking systems rely heavily on manual reporting, reproduction, triaging, and resolution, each carried out by different stakeholders such as end users, customer support, developers, and testers. This division of responsibilities requires significant coordination and widens the communication gap between non-technical users and technical teams, slowing the process from bug discovery to resolution. Moreover, current systems are highly asynchronous; users often wait hours or days f…

Fal, which hosts generative AI models for developers, raised a $140M Series D led by Sequoia, a source says at a $4.5B valuation, up from $1.5B in July (Paayal Zaveri/Bloomberg)
https://www.bloomberg.com/news/articles/2025…

Vipera: Blending Visual and LLM-Driven Guidance for Systematic Auditing of Text-to-Image Generative AI
Yanwei Huang, Wesley Hanwen Deng, Sijia Xiao, Motahhare Eslami, Jason I. Hong, Arpit Narechania, Adam Perer
https://arxiv.org/abs/2510.05742

Vipera: Blending Visual and LLM-Driven Guidance for Systematic Auditing of Text-to-Image Generative AI
Despite their increasing capabilities, text-to-image generative AI systems are known to produce biased, offensive, and otherwise problematic outputs. While recent advancements have supported testing and auditing of generative AI, existing auditing methods still face challenges in supporting effectively explore the vast space of AI-generated outputs in a structured way. To address this gap, we conducted formative studies with five AI auditors and synthesized five design goals for supporting syst…

Secure and Robust Watermarking for AI-generated Images: A Comprehensive Survey
Jie Cao, Qi Li, Zelin Zhang, Jianbing Ni
https://arxiv.org/abs/2510.02384 https://

Secure and Robust Watermarking for AI-generated Images: A Comprehensive Survey
The rapid advancement of generative artificial intelligence (Gen-AI) has facilitated the effortless creation of high-quality images, while simultaneously raising critical concerns regarding intellectual property protection, authenticity, and accountability. Watermarking has emerged as a promising solution to these challenges by distinguishing AI-generated images from natural content, ensuring provenance, and fostering trustworthy digital ecosystems. This paper presents a comprehensive survey of…

Generative AI-Driven Hierarchical Multi-Agent Framework for Zero-Touch Optical Networks
Yao Zhang, Yuchen Song, Shengnan Li, Yan Shi, Shikui Shen, Xiongyan Tang, Min Zhang, Danshi Wang
https://arxiv.org/abs/2510.05625

Generative AI-Driven Hierarchical Multi-Agent Framework for Zero-Touch Optical Networks
The rapid development of Generative Artificial Intelligence (GenAI) has catalyzed a transformative technological revolution across all walks of life. As the backbone of wideband communication, optical networks are expecting high-level autonomous operation and zero-touch management to accommodate their expanding network scales and escalating transmission bandwidth. The integration of GenAI is deemed as the pivotal solution for realizing zero-touch optical networks. However, the lifecycle managem…

Assessing Human Rights Risks in AI: A Framework for Model Evaluation
Vyoma Raman, Camille Chabot, Betsy Popken
https://arxiv.org/abs/2510.05519 https://arx…

Assessing Human Rights Risks in AI: A Framework for Model Evaluation
The Universal Declaration of Human Rights and other international agreements outline numerous inalienable rights that apply across geopolitical boundaries. As generative AI becomes increasingly prevalent, it poses risks to human rights such as non-discrimination, health, and security, which are also central concerns for AI researchers focused on fairness and safety. We contribute to the field of algorithmic auditing by presenting a framework to computationally assess human rights risk. Drawing …

Prompting in Practice: Investigating Software Developers' Use of Generative AI Tools
Daniel Otten, Trevor Stalnaker, Nathan Wintersgill, Oscar Chaparro, Denys Poshyvanyk
https://arxiv.org/abs/2510.06000

Prompting in Practice: Investigating Software Developers' Use of Generative AI Tools
The integration of generative artificial intelligence (GenAI) tools has fundamentally transformed software development. Although prompt engineering has emerged as a critical skill, existing research focuses primarily on individual techniques rather than software developers' broader workflows. This study presents a systematic investigation of how software engineers integrate GenAI tools into their professional practice through a large-scale survey examining prompting strategies, conversation pat…

Emotionally Vulnerable Subtype of Internet Gaming Disorder: Measuring and Exploring the Pathology of Problematic Generative AI Use
Haocan Sun, Di Wua, Weizi Liu, Guoming Yua, Mike Yao
https://arxiv.org/abs/2510.06908

Emotionally Vulnerable Subtype of Internet Gaming Disorder: Measuring and Exploring the Pathology of Problematic Generative AI Use
Concerns over the potential over-pathologization of generative AI (GenAI) use and the lack of conceptual clarity surrounding GenAI addiction call for empirical tools and theoretical refinement. This study developed and validated the PUGenAIS-9 (Problematic Use of Generative Artificial Intelligence Scale-9 items) and examined whether PUGenAIS reflects addiction-like patterns under the Internet Gaming Disorder (IGD) framework. Using samples from China and the United States (N = 1,508), we conduct…

James Cameron says the idea that generative AI can "make up a character" and a performance can be generated "from scratch with a text prompt" is "horrifying" (Jack Dunn/Variety)
https://variety.com/2025/film/news/james-c…

James Cameron Says It's 'Horrifying' that AI Can 'Make Up an Actor'
James Cameron says its 'horrifying' that AI can replace actors.

Research: low productivity gains from AI may stem from employees using AI to produce "workslop", or low-effort, passable work that creates more work for others (Harvard Business Review)
https://hbr.org/2025/09/ai-generated-workslop-is-destroying-productivit…

AI-Generated “Workslop” Is Destroying Productivity
Despite a surge in generative AI use across workplaces, most companies are seeing little measurable ROI. One possible reason is because AI tools are being used to produce “workslop”—content that appears polished but lacks real substance, offloading cognitive labor onto coworkers. Research from BetterUp Labs and Stanford found that 41% of workers have encountered such AI-generated output, costing nearly two hours of rework per instance and creating downstream productivity, trust, and colla…

AI Generated Child Sexual Abuse Material - What's the Harm?
Caoilte \'O Ciardha, John Buckley, Rebecca S. Portnoff
https://arxiv.org/abs/2510.02978 https://

AI Generated Child Sexual Abuse Material - What's the Harm?
The development of generative artificial intelligence (AI) tools capable of producing wholly or partially synthetic child sexual abuse material (AI CSAM) presents profound challenges for child protection, law enforcement, and societal responses to child exploitation. While some argue that the harmfulness of AI CSAM differs fundamentally from other CSAM due to a perceived absence of direct victimization, this perspective fails to account for the range of risks associated with its production and …

Product Manager Practices for Delegating Work to Generative AI: "Accountability must not be delegated to non-human actors"
Mara Ulloa, Jenna L. Butler, Sankeerti Haniyur, Courtney Miller, Barrett Amos, Advait Sarkar, Margaret-Anne Storey
https://arxiv.org/abs/2510.02504

Product Manager Practices for Delegating Work to Generative AI: "Accountability must not be delegated to non-human actors"
Generative AI (GenAI) is changing the nature of knowledge work, particularly for Product Managers (PMs) in software development teams. While much software engineering research has focused on developers' interactions with GenAI, there is less understanding of how the work of PMs is evolving due to GenAI. To address this gap, we conducted a mixed-methods study at Microsoft, a large, multinational software company: surveying 885 PMs, analyzing telemetry data for a subset of PMs (N=731), and interv…

"Grillz on a hijabi": Intersectional Identities in Fostering Critical AI Literacy
Jaemarie Solyst, Chloe Fong, Faisal Nurdin, Rotem Landesman, R. Benjamin Shapiro
https://arxiv.org/abs/2510.06306

"Grillz on a hijabi": Intersectional Identities in Fostering Critical AI Literacy
As AI increasingly saturates our daily lives, it is crucial that youth develop skills to critically use and assess AI systems and envision better alternatives. We apply theories from culturally responsive computing to design and study a learning experience meant to support Black Muslim teen girls in developing critical literacy with generative AI (GenAI). We investigate fashion design as a culturally-rich, creative domain for youth to apply GenAI and then reflect on GenAI's socio-ethical aspect…

YouTube unveils new generative AI tools for Shorts, including a custom version of Veo 3 called Veo 3 Fast, which includes sound, and an Edit with AI feature (Aisha Malik/TechCrunch)
https://techcrunch.com/2025/09/16/youtube-announces-new-gener…

YouTube announces new generative AI tools for Shorts creators | TechCrunch
YouTube is bringing a custom version of Google's text-to-video generative AI model, Veo 3, to Shorts, along with a new remixing tool, an "Edit with AI" feature, and more.

Teaching with AI: A Systematic Review of Chatbots, Generative Tools, and Tutoring Systems in Programming Education
Said Elnaffar, Farzad Rashidi, Abedallah Zaid Abualkishik
https://arxiv.org/abs/2510.03884

Teaching with AI: A Systematic Review of Chatbots, Generative Tools, and Tutoring Systems in Programming Education
This review examines the role of artificial intelligence (AI) agents in programming education, focusing on how these tools are being integrated into educational practice and their impact on student learning outcomes. An analysis of fifty-eight peer-reviewed studies published between 2022 and 2025 identified three primary categories of AI agents: chatbots, generative AI (GenAI), and intelligent tutoring systems (ITS), with GenAI being the most frequently studied. The primary instructional object…

AI Where It Matters: Where, Why, and How Developers Want AI Support in Daily Work
Rudrajit Choudhuri, Carmen Badea, Christian Bird, Jenna Butler, Rob DeLine, Brian Houck
https://arxiv.org/abs/2510.00762

AI Where It Matters: Where, Why, and How Developers Want AI Support in Daily Work
Generative AI is reshaping software work, yet we lack clear guidance on where developers most need and want support, and how to design it responsibly. We report a large-scale, mixed-methods study of N=860 developers that examines where, why, and how they seek or limit AI help, providing the first task-aware, empirically validated mapping from developers' perceptions of their tasks to AI adoption patterns and responsible AI priorities. Using cognitive appraisal theory, we show that task evaluati…

Italy-based humanoid robotics startup Generative Bionics raised €70M led by CDP Venture Capital, with participation from Tether, AMD Ventures, and others (Daniele Lepido/Bloomberg)
https://www.bloomberg.com/news/articles/2025-1…

Luma AI opens its first international office in London and appoints former WPP and Monks executive Jason Day to lead its global expansion outside the US (Georg Szalai/The Hollywood Reporter)
https://www.hollywoodreporter.com/business

Luma AI Opens London Office, Led by Former WPP Executive Jason Day
Putting multimodal artificial generative intelligence (AGI) into "the hands of creative professionals around the world – be they marketers, gamers, or film studios – will transform the entire creative process."

LacAIDes: Generative AI-Supported Creative Interactive Circuits Crafting to Enliven Traditional Lacquerware
Yaning Li, Yutong Chen, Yihan Hou, Chenyi Chen, Yihan Han, Jingxuan Han, Wenxi Dai, Youyou Li, Xinke Tang, Meng Li, Qi Dong, Hongwei Li
https://arxiv.org/abs/2510.08326

LacAIDes: Generative AI-Supported Creative Interactive Circuits Crafting to Enliven Traditional Lacquerware
Lacquerware, a representative craft of Chinese intangible cultural heritage, is renowned for its layered aesthetics and durability but faces declining engagement. While prior human-computer interaction research has explored embedding interactive circuits to transform lacquerware into responsive artifacts, most studies have focused on fabrication techniques rather than supporting makers in creatively designing such interactions at a low threshold. To address this gap, we present LacAIDes, a Gene…

Adobe launches AI Foundry, a new program to help enterprise customers create bespoke, commercially safe, Firefly-based generative AI models trained on their IP (Webb Wright/ZDNET)
https://www.zdnet.com/article/adobe-mightve-just-solved-one-o…

Adobe might've just solved one of generative AI's biggest legal risks
The company's new AI Foundry aims to help businesses build bespoke AI models with their own IP.

Exploring Student Choice and the Use of Multimodal Generative AI in Programming Learning
Xinying Hou, Ruiwei Xiao, Runlong Ye, Michael Liut, John Stamper
https://arxiv.org/abs/2510.05417

Exploring Student Choice and the Use of Multimodal Generative AI in Programming Learning
The broad adoption of Generative AI (GenAI) is impacting Computer Science education, and recent studies found its benefits and potential concerns when students use it for programming learning. However, most existing explorations focus on GenAI tools that primarily support text-to-text interaction. With recent developments, GenAI applications have begun supporting multiple modes of communication, known as multimodality. In this work, we explored how undergraduate programming novices choose and w…

At its Adobe Max event, Adobe unveils AI tools for Photoshop, Premiere Pro, and Lightroom, and says Firefly Image 5 can generate images in native 4MP resolution (Jess Weatherbed/The Verge)
https://www.theverge.com/news/807811/adobe-photoshop-lightroom-…

Photoshop and Premiere Pro’s new AI tools can instantly edit more of your work
Adobe has given us a first look at new and upcoming generative AI tools launching for the company’s Photoshop, Premiere Pro, and Lightroom Creative Cloud apps.

Google introduces Mixboard, an AI-powered tool that lets users create mood boards, available in public beta in the US (Jess Weatherbed/The Verge)
https://www.theverge.com/news/783991/google-labs-mixboard-ai-design-canvas

Google’s Mixboard is an AI moodboard builder
The experimental tool uses generative AI to build Pinterest-like design boards.

Beyond the Benefits: A Systematic Review of the Harms and Consequences of Generative AI in Computing Education
Seth Bernstein, Ashfin Rahman, Nadia Sharifi, Ariunjargal Terbish, Stephen MacNeil
https://arxiv.org/abs/2510.04443

Beyond the Benefits: A Systematic Review of the Harms and Consequences of Generative AI in Computing Education
Generative artificial intelligence (GenAI) has already had a big impact on computing education with prior research identifying many benefits. However, recent studies have also identified potential risks and harms. To continue maximizing AI benefits while addressing the harms and unintended consequences, we conducted a systematic literature review of research focusing on the risks, harms, and unintended consequences of GenAI in computing education. Our search of ACM DL, IEEE Xplore, and Scopus (…

The RIAA amends its lawsuit against Suno, now accusing it of unlawfully "stream ripping" songs on YouTube and violating the DMCA (Jess Weatherbed/The Verge)
https://www.theverge.com/news/782448/riaa-suno-ai-lawsuit-update-stream-ripping-youtu…

Record labels claim AI generator Suno illegally ripped their songs from YouTube
Record labels have escalated their lawsuit against Suno, alleging that the AI startup knowingly pirated songs from YouTube to train its generative AI models

Google Cloud says it now works with nine of the 10 leading AI labs, including OpenAI, and with 60% of the world's generative AI startups, fueling its growth (Maxwell Zeff/TechCrunch)
https://techcrunch.com/2025/09/18/how-ai-startups-are-fueli…

How AI startups are fueling Google's booming cloud business | TechCrunch
Google Cloud is one of the company's fastest-growing business lines, and continues to rack up new customers.