Tootfinder

US and Chinese diplomats plan to meet later in May to find common ground on AI usage and situations where AI should be banned, like controlling nuclear arsenals (David E. Sanger/New York Times)
https://www.nytimes.com/2024/05/06/us/poli

A New Diplomatic Strategy Emerges as Artificial Intelligence Grows
The new U.S. approach to cyberthreats comes as early optimism about a “global internet” connecting the world has been shattered.

Sources: OpenAI transcribed 1M hours of YouTube videos through Whisper and used the text to train GPT-4; Google also transcribed YouTube videos to harvest text (New York Times)
https://www.nytimes.com/2024/04/06/technology/tech-…

How Tech Giants Cut Corners to Harvest Data for A.I.
OpenAI, Google and Meta ignored corporate policies, altered their own rules and discussed skirting copyright law as they sought online information to train their newest artificial intelligence systems.

Great article about the quest around data all the bigtech platforms need for their AI development. (giftlink)
https://www.nytimes.com/2024/04/06/technology/tech-gian…

How Tech Giants Cut Corners to Harvest Data for A.I.
OpenAI, Google and Meta ignored corporate policies, altered their own rules and discussed skirting copyright law as they sought online information to train their newest artificial intelligence systems.

Chinese National Residing in California Arrested for Theft of Artificial Intelligence-Related Trade Secrets from Google (US Department of Justice)
https://www.justice.gov/opa/pr/chinese-national-residing-california-arrested-theft-artificial-intelligence-related-trade
http://www.memeorandum.com/240306/p85#a240306p85

The Terrifying A.I. Scam That Uses Your Loved One’s Voice
https://www.newyorker.com/science/annals-of-artificial-intelligence/the-terrifying-ai-scam-that-uses-your-loved-ones-voice

AI likely to increase energy use and accelerate climate misinformation – report
Claims that artificial intelligence will help solve the climate crisis are misguided, warns a coalition of environmental groups
https://www.theguardian.com/technology/202

Sources: OpenAI transcribed 1M hours of YouTube videos through Whisper and used the text to train GPT-4; Google also transcribed YouTube videos to harvest text (New York Times)
https://www.nytimes.com/2024/04/06/technology/tech-…

How Tech Giants Cut Corners to Harvest Data for A.I.
OpenAI, Google and Meta ignored corporate policies, altered their own rules and discussed skirting copyright law as they sought online information to train their newest artificial intelligence systems.

This https://arxiv.org/abs/2405.00711 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCL_…

Fake Artificial Intelligence Generated Contents (FAIGC): A Survey of Theories, Detection Methods, and Opportunities
In recent years, generative artificial intelligence models, represented by Large Language Models (LLMs) and Diffusion Models (DMs), have revolutionized content production methods. These artificial intelligence-generated content (AIGC) have become deeply embedded in various aspects of daily life and work, spanning texts, images, videos, and audio. The authenticity of AI-generated content is progressively enhancing, approaching human-level creative standards. However, these technologies have also…

Sources: OpenAI transcribed 1M hours of YouTube videos through Whisper and used the text to train GPT-4; Google also transcribed YouTube videos to harvest text (New York Times)
https://www.nytimes.com/2024/04/06/technology/tech-…

How Tech Giants Cut Corners to Harvest Data for A.I.
OpenAI, Google and Meta ignored corporate policies, altered their own rules and discussed skirting copyright law as they sought online information to train their newest artificial intelligence systems.

"How we view the present and future of Artificial Intelligence probably turns on what we think about the current state of capitalism. Is A.I. going to inevitably improve (because markets)? Or is A.I. inevitably going to hollow out industries while providing shittier services (because markets)?"
(Original title: Are large language models on the trajectory of word processing or digital advertising?)

Are large language models on the trajectory of word processing or digital advertising?
(In which Dave stumbles upon another analogy.)

This https://arxiv.org/abs/2402.02547 has been replaced.
link: https://scholar.google.com/scholar?q=a

Integration of cognitive tasks into artificial general intelligence test for large models
During the evolution of large models, performance evaluation is necessarily performed to assess their capabilities and ensure safety before practical application. However, current model evaluations mainly rely on specific tasks and datasets, lacking a united framework for assessing the multidimensional intelligence of large models. In this perspective, we advocate for a comprehensive framework of cognitive science-inspired artificial general intelligence (AGI) tests, aimed at fulfilling the tes…

Towards an Ethical and Inclusive Implementation of Artificial Intelligence in Organizations: A Multidimensional Framework
Ernesto Giralt Hern\'andez
https://arxiv.org/abs/2405.01697

Towards an Ethical and Inclusive Implementation of Artificial Intelligence in Organizations: A Multidimensional Framework
This article analyzes the impact of artificial intelligence (AI) on contemporary society and the importance of adopting an ethical approach to its development and implementation within organizations. It examines the technocritical perspective of some philosophers and researchers, who warn of the risks of excessive technologization that could undermine human autonomy. However, the article also acknowledges the active role that various actors, such as governments, academics, and civil society, ca…

A look at OpenAI's "Democratic Inputs to AI" grant program, which awarded $100K each to 10 teams to design ideas and tools to collectively govern AI systems (Billy Perrigo/TIME)
https://time.com/6684266/openai-democracy-artificial-intelligence/

Inside OpenAI’s Plan to Make AI More ‘Democratic’
The company wants to align its AI to ‘human values.’ But whose values should AI reflect? And who should get to decide?

@… the intelligence was certainly artificial, AI or not

General Puropse AI Models can`t ignore copyright in the EU
https://poliverso.org/display/0477a01e-fb71e88f-5807bdd59580dafc
General Puropse AI Models can`t ignore copyright in the EUArtificial intelligence has posed serious challenges to our underst…

Very interesting event, likely of particular interest to Providence people:
«“Debates in AI” Symposium at Rhode Island School of Design to Explore the Confluence of Artificial Intelligence and Creative Disciplines»
https://www.risd.edu/ne…

US and Britain have signed a pact committing their AI Safety Institutes to work together in testing emerging artificial intelligence models. Technologists will align their scientific approaches, trade information and do joint testing.
https://www.govtech.com/art…

Soaring power consumption by new factories, data centers & crypto miners is delaying coal plant closures in Kansas, Nebraska, Wisconsin and South Carolina.
That means an electric car driven in or near those states is powered by coal, and emits more greenhouse gases than a gas-powered car.
https://wapo.st/3IqeK6P

Amid explosive demand, America is running out of power
Artificial intelligence, data centers and the boom in clean-tech manufacturing are pushing America’s aging power grid to the brink. Utilities can’t keep up.

Ich bin demnächst übrigens auch Head of Artificial Intelligence Bullshit Bingo irgendwas…
Und ich schäme mich bereits jetzt dafür.

Interesting paper, for those of us calibrating the threat from Large Language models https://www.nature.com/articles/s41598-024-53303-w

The current state of artificial intelligence generative language models is more creative than humans on divergent thinking tasks - Scientific Reports
The emergence of publicly accessible artificial intelligence (AI) large language models such as ChatGPT has given rise to global conversations on the implications of AI capabilities. Emergent research on AI has challenged the assumption that creative potential is a uniquely human trait thus, there seems to be a disconnect between human perception versus what AI is objectively capable of creating. Here, we aimed to assess the creative potential of humans in comparison to AI. In the present study…

Mayorkas: Implementation of AI can’t lead to ‘a perpetuation of implicit bias’ https://therecord.media/dhs-mayorkas-artificial-intelligence-board

Mayorkas: Implementation of AI can’t lead to ‘a perpetuation of implicit bias’
The secretary of Homeland Security told an RSA Conference crowd that he was encouraged by the discussion in the first meeting of the department's AI advisory board.

How will AI impact transportation? US DOT wants public input.
#RealEstate #UrbanDevelopment #SmartCitiesDive

A whole series of blog posts on 'Artificial Intelligence' from Ex Libris including 'Introducing Our AI Metadata Generator'
https://exlibrisgroup.com/blog/artificial-intelligence-blog-series-introducing-our-ai-metadata-gene…

Artificial Intelligence Blog Series: Introducing Our AI Metadata Generator - Ex Libris
 At Ex Libris, the use of AI technology is always done to solve the real challenges of real users, librarians, and libraries. We respect the need for privacy and intellectual property considerations, and above all, we understand the importance of using trusted scholarly content to generate results and information.    

Development and evaluation of Artificial Intelligence techniques for IoT data quality assessment and curation
Laura Mart\'in, Luis S\'anchez, Jorge Lanza, Pablo Sotres
https://arxiv.org/abs/2403.03661

Development and evaluation of Artificial Intelligence techniques for IoT data quality assessment and curation
Nowadays, data is becoming the new fuel for economic wealth and creation of novel and profitable business models. Multitude of technologies are contributing to an abundance of information sources which are already the baseline for multi-millionaire services and applications. Internet of Things (IoT), is probably the most representative one. However, for an economy of data to actually flourish there are still several critical challenges that have to be overcome. Among them, data quality can beco…

👇 This is one reason to #BoycottMeta.
"Brad Parscale helped Trump win in 2016 using Facebook ads. Now he’s back, and an AI evangelist..."
"He was the digital guru who teamed up with scandal-plagued Cambridge Analytica and helped propel Trump to the White House eight years ago"

Election 2024: Trump's digital guru Brad Parscale is back and pushing AI
Brad Parscale was the digital campaign operative who helped engineer Trump’s 2016 presidential victory with the heavy use of Facebook ads. Now Parscale is back working for Trump and is an evangelist for artificial intelligence. Parscale has a company called Campaign Nucleus that is working for Trump's campaign. He says his suite of AI-powered tools can spin up customized emails, parse oceans of data to gauge voter sentiment and find persuadable voters and amplify the social media posts of “…

🧠 Inside Nvidia’s museum of the future
https://english.elpais.com/economy-and-business/2024-03-04/inside-nvidias-museum-of-the-future.html

Inside Nvidia’s museum of the future
The great champion of artificial intelligence — which was conceived in a fast food restaurant in 1993 — has surpassed a valuation of $2 trillion

Law enforcement agencies and prosecutors from Colorado to New York have turned to a little-known #artificial #intelligence tool in recent years to help investigate, charge and convict suspects accused of murder and other serious crimes.
But as the software, called

An AI tool used in thousands of criminal cases is facing legal challenges
Law enforcement agencies and prosecutors from Colorado to New York have turned to a little-known artificial intelligence tool in recent years to help investigate, charge and convict suspects accused of murder and other serious crimes.

Privacy-Enhancing Technologies for Artificial Intelligence-Enabled Systems
Liv d'Aliberti, Evan Gronberg, Joseph Kovba
https://arxiv.org/abs/2404.03509

Privacy-Enhancing Technologies for Artificial Intelligence-Enabled Systems
Artificial intelligence (AI) models introduce privacy vulnerabilities to systems. These vulnerabilities may impact model owners or system users; they exist during model development, deployment, and inference phases, and threats can be internal or external to the system. In this paper, we investigate potential threats and propose the use of several privacy-enhancing technologies (PETs) to defend AI-enabled systems. We then provide a framework for PETs evaluation for a AI-enabled systems and disc…

The deadline for the 2024 European Society for Textual Scholarship conference in Budapest is rapidly approaching. Proposals are due on 15 May.
The theme is: Textual scholarship, artificial intelligence, corpora and intelligent editions.
https://textualscholarship.eu/202…

ESTS 2024 Conference Announcement and CfP
The nineteenth annual conference of the European Society for Textual Scholarship will take place this year at Eötvös Loránd University, Budapest, 2-4 October 2024. The Call for Papers can be read b…

Toward Safe Evolution of Artificial Intelligence (AI) based Conversational Agents to Support Adolescent Mental and Sexual Health Knowledge Discovery
Jinkyung Park, Vivek Singh, Pamela Wisniewski
https://arxiv.org/abs/2404.03023

Toward Safe Evolution of Artificial Intelligence (AI) based Conversational Agents to Support Adolescent Mental and Sexual Health Knowledge Discovery
Following the recent release of various Artificial Intelligence (AI) based Conversation Agents (CAs), adolescents are increasingly using CAs for interactive knowledge discovery on sensitive topics, including mental and sexual health topics. Exploring such sensitive topics through online search has been an essential part of adolescent development, and CAs can support their knowledge discovery on such topics through human-like dialogues. Yet, unintended risks have been documented with adolescents…

The first thing being that the New York Times is well behind on this story.
From: @…
https://press.coop/@nytimes/112223697635396180

The New York Times :press: (@nytimes@press.coop)
Attached: 1 image Four Takeaways on the Race to Amass Data for A.I. To make artificial intelligence systems more powerful, tech companies need online data to feed the technology. Here’s what to know. #press https://www.nytimes.com/2024/04/06/technology/four-takeaways-on-the-race-to-amass-data-for-ai.html?utm_source=press.coop

Embodied Neuromorphic Artificial Intelligence for Robotics: Perspectives, Challenges, and Research Development Stack
Rachmad Vidya Wicaksana Putra, Alberto Marchisio, Fakhreddine Zayer, Jorge Dias, Muhammad Shafique
https://arxiv.org/abs/2404.03325

Embodied Neuromorphic Artificial Intelligence for Robotics: Perspectives, Challenges, and Research Development Stack
Robotic technologies have been an indispensable part for improving human productivity since they have been helping humans in completing diverse, complex, and intensive tasks in a fast yet accurate and efficient way. Therefore, robotic technologies have been deployed in a wide range of applications, ranging from personal to industrial use-cases. However, current robotic technologies and their computing paradigm still lack embodied intelligence to efficiently interact with operational environment…

Demographic Dynamics and Artificial Intelligence: Challenges and Opportunities in Europe and Africa for 2050
Mohamed El Louadi
https://arxiv.org/abs/2403.03935

Demographic Dynamics and Artificial Intelligence: Challenges and Opportunities in Europe and Africa for 2050
This paper explores the complex relationship between demographics and artificial intelligence (AI) advances in Europe and Africa, projecting into the year 2050. The advancement of AI technologies has occurred at diverse rates, with Africa lagging behind Europe. Moreover, the imminent economic consequences of demographic shifts require a more careful examination of immigration patterns, with Africa emerging as a viable labor pool for European countries. However, within these dynamics, questions …

Pr\'evisions m\'et\'eorologiques bas\'ees sur l'intelligence artificielle : une r\'evolution peut en cacher une autre
Zied Ben-Bouallegue, Mariana C A Clare, Matthieu Chevallier
https://arxiv.org/abs/2405.02679

Prévisions météorologiques basées sur l'intelligence artificielle : une révolution peut en cacher une autre
Artificial intelligence (AI), based on deep-learning algorithm using high-quality reanalysis datasets, is showing enormous potential for weather forecasting. In this context, the European Centre for Medium-Range Weather Forecasts (ECMWF) is developing a new forecasting system based on AI. Verification results of deterministic forecast for now are promising. However, the realism of weather forecasts based on AI is often questioned. Here, different types of realism are identified and we discuss, …

The WMDP Benchmark: Measuring and Reducing Malicious Use With Unlearning
Nathaniel Li, Alexander Pan, Anjali Gopal, Summer Yue, Daniel Berrios, Alice Gatti, Justin D. Li, Ann-Kathrin Dombrowski, Shashwat Goel, Long Phan, Gabriel Mukobi, Nathan Helm-Burger, Rassin Lababidi, Lennart Justen, Andrew B. Liu, Michael Chen, Isabelle Barrass, Oliver Zhang, Xiaoyuan Zhu, Rishub Tamirisa, Bhrugu Bharathi, Adam Khoja, Ariel Herbert-Voss, Cort B. Breuer, Andy Zou, Mantas Mazeika, Zifan Wang, Palas…

The WMDP Benchmark: Measuring and Reducing Malicious Use With Unlearning
The White House Executive Order on Artificial Intelligence highlights the risks of large language models (LLMs) empowering malicious actors in developing biological, cyber, and chemical weapons. To measure these risks of malicious use, government institutions and major AI labs are developing evaluations for hazardous capabilities in LLMs. However, current evaluations are private, preventing further research into mitigating risk. Furthermore, they focus on only a few, highly specific pathways fo…

Triple-CFN: Restructuring Conceptual Spaces for Enhancing Abstract Reasoning process
Ruizhuo Song, Beiming Yuan
https://arxiv.org/abs/2403.03190 https://…

Triple-CFN: Restructuring Conceptual Spaces for Enhancing Abstract Reasoning process
Abstract reasoning problems pose significant challenges to artificial intelligence algorithms, demanding cognitive capabilities beyond those required for perception tasks. This study introduces the Triple-CFN approach to tackle the Bongard-Logo problem, achieving notable reasoning accuracy by implicitly reorganizing the concept space of conflicting instances. Additionally, the Triple-CFN paradigm proves effective for the RPM problem with necessary modifications, yielding competitive results. To…

Rapid Mobile App Development for Generative AI Agents on MIT App Inventor
Jaida Gao, Calab Su, Etai Miller, Kevin Lu, Yu Meng
https://arxiv.org/abs/2405.01561

Rapid Mobile App Development for Generative AI Agents on MIT App Inventor
The evolution of Artificial Intelligence (AI) stands as a pivotal force shaping our society, finding applications across diverse domains such as education, sustainability, and safety. Leveraging AI within mobile applications makes it easily accessible to the public, catalyzing its transformative potential. In this paper, we present a methodology for the rapid development of AI agent applications using the development platform provided by MIT App Inventor. To demonstrate its efficacy, we share t…

Immense dataset of english books for training AI. This dataset contains more than 650,000 English public domain books (~ 61 billion words).
https://huggingface.co/datasets/storytracer/internet_archive_books_en

storytracer/internet_archive_books_en · Datasets at Hugging Face
We’re on a journey to advance and democratize artificial intelligence through open source and open science.

“The recent advances in artificial intelligence (AI) such as large language models enable the design of the Faster than LIght speed Protocol (FLIP) for Internet. FLIP provides a way to avoid congestion, enhance security, and deliver faster packets on the Internet by using AI to predict future packets at the receiving peer before they arrive.”
RFC 9564
Faster Than Light Speed Protocol (FLIP)

Snake Learning: A Communication- and Computation-Efficient Distributed Learning Framework for 6G
Xiaoxue Yu, Xingfu Yi, Rongpeng Li, Fei Wang, Chenghui Peng, Zhifeng Zhao, Honggang Zhang
https://arxiv.org/abs/2405.03372

Snake Learning: A Communication- and Computation-Efficient Distributed Learning Framework for 6G
In the evolution towards 6G, integrating Artificial Intelligence (AI) with advanced network infrastructure emerges as a pivotal strategy for enhancing network intelligence and resource utilization. Existing distributed learning frameworks like Federated Learning and Split Learning often struggle with significant challenges in dynamic network environments including high synchronization demands, costly communication overheads, severe computing resource consumption, and data heterogeneity across n…

This https://arxiv.org/abs/2312.02959 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_sta…

Detecting algorithmic bias in medical-AI models using trees
With the growing prevalence of machine learning and artificial intelligence-based medical decision support systems, it is equally important to ensure that these systems provide patient outcomes in a fair and equitable fashion. This paper presents an innovative framework for detecting areas of algorithmic bias in medical-AI decision support systems. Our approach efficiently identifies potential biases in medical-AI models, specifically in the context of sepsis prediction, by employing the Classi…

Test Yourself: Which Faces Were Made by A.I.?
(hopefully still unlocked)
https://www.nytimes.com/interactive/2024/01/19/technology/artificial-in…

Test Yourself: Which Faces Were Made by A.I.?
People tend to overestimate their ability to spot digital fakes, researchers found.

Always an entertaining read re: AI hype: Ed Zitron - https://www.wheresyoured.at/bubble-trouble/

Bubble Trouble
As I previously warned, artificial intelligence companies are running out of data. A Wall Street Journal piece from this week has sounded the alarm that some believe AI models will run out of "high-quality text-based data" within the next two years in what an AI researcher called "a frontier research

Terra AI "compass" enables users to take phone-free walks
https://www.dezeen.com/2024/04/05/terra-ai-compass-panter-tourron-modem-works-design/

Terra AI "compass" enables users to take phone-free walks
Artificial intelligence and a gorpcore aesthetic combine in Terra – a "compass" created by design studios Modem Works and Panter & Tourron to enable people to go on walks without their phone.

Small Logic-based Multipliers with Incomplete Sub-Multipliers for FPGAs
Andreas B\"ottcher, Martin Kumm
https://arxiv.org/abs/2405.02047 https://

Small Logic-based Multipliers with Incomplete Sub-Multipliers for FPGAs
There is a recent trend in artificial intelligence (AI) inference towards lower precision data formats down to 8 bits and less. As multiplication is the most complex operation in typical inference tasks, there is a large demand for efficient small multipliers. The large DSP blocks have limitations implementing many small multipliers efficiently. Hence, this work proposes a solution for better logic-based multipliers that is especially beneficial for small multipliers. Our work is based on the m…

COVID-19 Detection Based on Blood Test Parameters using Various Artificial Intelligence Methods
Kavian Khanjani, Seyed Rasoul Hosseini, Shahrzad Shashaani, Mohammad Teshnehlab
https://arxiv.org/abs/2404.02348

COVID-19 Detection Based on Blood Test Parameters using Various Artificial Intelligence Methods
In 2019, the world faced a new challenge: a COVID-19 disease caused by the novel coronavirus, SARS-CoV-2. The virus rapidly spread across the globe, leading to a high rate of mortality, which prompted health organizations to take measures to control its transmission. Early disease detection is crucial in the treatment process, and computer-based automatic detection systems have been developed to aid in this effort. These systems often rely on artificial intelligence (AI) approaches such as mach…

US Air Force plans a fleet of 1,000 AI-controlled jets, the first of them operating by 2028; some AI versions already beat human pilots in air-to-air combat (Tara Copp/Associated Press)
https://apnews.com/article/artificial-

AI-powered fighter jet takes Air Force leader for a historic ride
An experimental F-16 fighter jet has taken Air Force Secretary Frank Kendall on a history-making flight controlled by artificial intelligence and not a human pilot. Kendall said he came out of Thursday's flight in California, witnessed by The Associated Press, confident enough in AI's capabilities that he would trust it to fire weapons. The flight is serving as a public statement of confidence in the future role of AI in air combat. The military is planning to use the technology to operate an u…

Toward Safe Evolution of Artificial Intelligence (AI) based Conversational Agents to Support Adolescent Mental and Sexual Health Knowledge Discovery
Jinkyung Park, Vivek Singh, Pamela Wisniewski
https://arxiv.org/abs/2404.03023

Toward Safe Evolution of Artificial Intelligence (AI) based Conversational Agents to Support Adolescent Mental and Sexual Health Knowledge Discovery
Following the recent release of various Artificial Intelligence (AI) based Conversation Agents (CAs), adolescents are increasingly using CAs for interactive knowledge discovery on sensitive topics, including mental and sexual health topics. Exploring such sensitive topics through online search has been an essential part of adolescent development, and CAs can support their knowledge discovery on such topics through human-like dialogues. Yet, unintended risks have been documented with adolescents…

Learning at the Speed of Wireless: Online Real-Time Learning for AI-Enabled MIMO in NextG
Jiarui Xu, Shashank Jere, Yifei Song, Yi-Hung Kao, Lizhong Zheng, Lingjia Liu
https://arxiv.org/abs/2403.02651

Learning at the Speed of Wireless: Online Real-Time Learning for AI-Enabled MIMO in NextG
Integration of artificial intelligence (AI) and machine learning (ML) into the air interface has been envisioned as a key technology for next-generation (NextG) cellular networks. At the air interface, multiple-input multiple-output (MIMO) and its variants such as multi-user MIMO (MU-MIMO) and massive/full-dimension MIMO have been key enablers across successive generations of cellular networks with evolving complexity and design challenges. Initiating active investigation into leveraging AI/ML …

Identification of important nodes in the information propagation network based on the artificial intelligence method
Bin Yuan, Tianbo Song, Jerry Yao
https://arxiv.org/abs/2403.00190

Identification of important nodes in the information propagation network based on the artificial intelligence method
This study presents an integrated approach for identifying key nodes in information propagation networks using advanced artificial intelligence methods. We introduce a novel technique that combines the Decision-making Trial and Evaluation Laboratory (DEMATEL) method with the Global Structure Model (GSM), creating a synergistic model that effectively captures both local and global influences within a network. This method is applied across various complex networks, such as social, transportation,…

Sources: Meta debated buying a publisher like Simon & Schuster for AI training data and weighed using copyrighted online data even if that meant facing lawsuits (New York Times)
https://www.nytimes.com/2024/04/06/technology/fo…

Four Takeaways on the Race to Amass Data for A.I.
To make artificial intelligence systems more powerful, tech companies need online data to feed the technology. Here’s what to know.

Embodied Neuromorphic Artificial Intelligence for Robotics: Perspectives, Challenges, and Research Development Stack
Rachmad Vidya Wicaksana Putra, Alberto Marchisio, Fakhreddine Zayer, Jorge Dias, Muhammad Shafique
https://arxiv.org/abs/2404.03325

Embodied Neuromorphic Artificial Intelligence for Robotics: Perspectives, Challenges, and Research Development Stack
Robotic technologies have been an indispensable part for improving human productivity since they have been helping humans in completing diverse, complex, and intensive tasks in a fast yet accurate and efficient way. Therefore, robotic technologies have been deployed in a wide range of applications, ranging from personal to industrial use-cases. However, current robotic technologies and their computing paradigm still lack embodied intelligence to efficiently interact with operational environment…

An Essay concerning machine understanding
Herbert L. Roitblat
https://arxiv.org/abs/2405.01840 https://arxiv.org/pdf/2405.01840

An Essay concerning machine understanding
Artificial intelligence systems exhibit many useful capabilities, but they appear to lack understanding. This essay describes how we could go about constructing a machine capable of understanding. As John Locke (1689) pointed out words are signs for ideas, which we can paraphrase as thoughts and concepts. To understand a word is to know and be able to work with the underlying concepts for which it is an indicator. Understanding between a speaker and a listener occurs when the speaker casts his …

This https://arxiv.org/abs/2401.10647 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCL_…

Sowing the Wind, Reaping the Whirlwind: The Impact of Editing Language Models
In the rapidly advancing field of artificial intelligence, the concept of Red-Teaming or Jailbreaking large language models (LLMs) has emerged as a crucial area of study. This approach is especially significant in terms of assessing and enhancing the safety and robustness of these models. This paper investigates the intricate consequences of such modifications through model editing, uncovering a complex relationship between enhancing model accuracy and preserving its ethical integrity. Our in-d…

This https://arxiv.org/abs/2403.03190 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCV_…

Triple-CFN: Restructuring Conceptual Spaces for Enhancing Abstract Reasoning process
Abstract reasoning problems pose significant challenges to artificial intelligence algorithms, demanding cognitive capabilities beyond those required for perception tasks. This study introduces the Triple-CFN approach to tackle the Bongard-Logo problem, achieving notable reasoning accuracy by implicitly reorganizing the concept space of conflicting instances. Additionally, the Triple-CFN paradigm proves effective for the RPM problem with necessary modifications, yielding competitive results. To…

Training Machine Learning models at the Edge: A Survey
Aymen Rayane Khouas, Mohamed Reda Bouadjenek, Hakim Hacid, Sunil Aryal
https://arxiv.org/abs/2403.02619

Training Machine Learning models at the Edge: A Survey
Edge Computing (EC) has gained significant traction in recent years, promising enhanced efficiency by integrating Artificial Intelligence (AI) capabilities at the edge. While the focus has primarily been on the deployment and inference of Machine Learning (ML) models at the edge, the training aspect remains less explored. This survey delves into Edge Learning (EL), specifically the optimization of ML model training at the edge. The objective is to comprehensively explore diverse approaches and …

Sources: Meta debated buying a publisher like Simon & Schuster for AI training data and weighed using copyrighted online data even if that meant facing lawsuits (New York Times)
https://www.nytimes.com/2024/04/06/technology/fo…

Four Takeaways on the Race to Amass Data for A.I.
To make artificial intelligence systems more powerful, tech companies need online data to feed the technology. Here’s what to know.

Sources: Meta debated buying a publisher like Simon & Schuster for AI training data and weighed using copyrighted online data even if that meant facing lawsuits (New York Times)
https://www.nytimes.com/2024/04/06/technology/fo…

Four Takeaways on the Race to Amass Data for A.I.
To make artificial intelligence systems more powerful, tech companies need online data to feed the technology. Here’s what to know.

China will use AI to disrupt elections in the US, South Korea and India, Microsoft warns
China will attempt to disrupt elections in the US, South Korea and India this year with artificial intelligence-generated content after making a dry run with the presidential poll in Taiwan, Microsoft has warned.
The US tech firm said it expected Chinese state-backed cyber groups to target high-profile elections in 2024, with North Korea also involved, according to a report by the company’s t…

Copyright related risks in the creation and use of ML/AI systems
Daniel M. German
https://arxiv.org/abs/2405.01560 https://arxiv.org/…

Copyright related risks in the creation and use of ML/AI systems
This paper summarizes the current copyright related risks that Machine Learning (ML) and Artificial Intelligence (AI) systems (including Large Language Models --LLMs) incur. These risks affect different stakeholders: owners of the copyright of the training data, the users of ML/AI systems, the creators of trained models, and the operators of AI systems. This paper also provides an overview of ongoing legal cases in the United States related to these risks.

Generative AI in Cybersecurity
Shivani Metta, Isaac Chang, Jack Parker, Michael P. Roman, Arturo F. Ehuan
https://arxiv.org/abs/2405.01674 https://<…

Generative AI in Cybersecurity
The dawn of Generative Artificial Intelligence (GAI), characterized by advanced models such as Generative Pre-trained Transformers (GPT) and other Large Language Models (LLMs), has been pivotal in reshaping the field of data analysis, pattern recognition, and decision-making processes. This surge in GAI technology has ushered in not only innovative opportunities for data processing and automation but has also introduced significant cybersecurity challenges. As GAI rapidly progresses, it outst…

Test Yourself: Which Faces Were Made by A.I.?
(hopefully still unlocked)
https://www.nytimes.com/interactive/2024/01/19/technology/artificial-in…

Test Yourself: Which Faces Were Made by A.I.?
People tend to overestimate their ability to spot digital fakes, researchers found.

New York-based RapidSOS, which develops systems to help emergency response teams, raised $75M led by BlackRock, bringing its latest round to a total of $150M (Saritha Rai/Bloomberg)
https://www.bloomberg.com/news/articles/20

BlackRock Leads $75 Million Round by AI Safety Startup RapidSOS
RapidSOS, a startup that uses artificial intelligence to help emergency response teams, raised a $75 million investment led by BlackRock Inc. funds.

[2024-05-06 Mon (UTC), 12 new articles found for cs.AI Artificial Intelligence]

Does the AI liability directive provide enough harmonisation?
https://poliverso.org/display/0477a01e-8d589626-659f374058abac09
Does the AI liability directive provide enough harmonisation?This week, we are discussing the artificial intelligence liab…

New York-based RapidSOS, which develops systems to help emergency response teams, raised $75M led by BlackRock, bringing its latest round to a total of $150M (Saritha Rai/Bloomberg)
https://www.bloomberg.com/news/articles/20

BlackRock Leads $75 Million Round by AI Safety Startup RapidSOS
RapidSOS, a startup that uses artificial intelligence to help emergency response teams, raised a $75 million investment led by BlackRock Inc. funds.

This https://arxiv.org/abs/2403.11894 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCL_…

From Explainable to Interpretable Deep Learning for Natural Language Processing in Healthcare: How Far from Reality?
Deep learning (DL) has substantially enhanced natural language processing (NLP) in healthcare research. However, the increasing complexity of DL-based NLP necessitates transparent model interpretability, or at least explainability, for reliable decision-making. This work presents a thorough scoping review of explainable and interpretable DL in healthcare NLP. The term "eXplainable and Interpretable Artificial Intelligence" (XIAI) is introduced to distinguish XAI from IAI. Different models are f…

Canada unveils a CA$2.4B package of measures to boost its AI sector and provide access to computing capabilities and technical infrastructure (Mathieu Dion/Bloomberg)
https://www.bloomberg.com/news/articles/2024-04-0…

Trudeau Unveils $1.8 Billion Plan to Boost AI Sector in Canada
Canada is launching a fund to boost its artificial intelligence sector as Prime Minister Justin Trudeau continues to roll out spending announcements in advance of a new budget.

Explainability Guided Adversarial Evasion Attacks on Malware Detectors
Kshitiz Aryal, Maanak Gupta, Mahmoud Abdelsalam, Moustafa Saleh
https://arxiv.org/abs/2405.01728

Explainability Guided Adversarial Evasion Attacks on Malware Detectors
As the focus on security of Artificial Intelligence (AI) is becoming paramount, research on crafting and inserting optimal adversarial perturbations has become increasingly critical. In the malware domain, this adversarial sample generation relies heavily on the accuracy and placement of crafted perturbation with the goal of evading a trained classifier. This work focuses on applying explainability techniques to enhance the adversarial evasion attack on a machine-learning-based Windows PE malwa…

The Role of AI in Peer Support for Young People: A Study of Preferences for Human- and AI-Generated Responses
Jordyn Young, Laala M Jawara, Diep N Nguyen, Brian Daly, Jina Huh-Yoo, Afsaneh Razi
https://arxiv.org/abs/2405.02711

The Role of AI in Peer Support for Young People: A Study of Preferences for Human- and AI-Generated Responses
Generative Artificial Intelligence (AI) is integrated into everyday technology, including news, education, and social media. AI has further pervaded private conversations as conversational partners, auto-completion, and response suggestions. As social media becomes young people's main method of peer support exchange, we need to understand when and how AI can facilitate and assist in such exchanges in a beneficial, safe, and socially appropriate way. We asked 622 young people to complete an onli…

This https://arxiv.org/abs/2401.03093 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csAI_…

Explicitly explainable AI solution to the AI black box problem
Artificial intelligence based on neural networks has made significant progress. However, there are concerns about the reliability and security of this approach due to its lack of transparency. This is the black box problem of AI. Here we show how this problem can be solved using symbolic AI, which has a transparent white box nature. The widespread use of symbolic AI is hindered by the opacity of mathematical models and natural language terms, the lack of a unified ontology, and the combinatoria…

Learn to Code Sustainably: An Empirical Study on LLM-based Green Code Generation
Tina Vartziotis, Ippolyti Dellatolas, George Dasoulas, Maximilian Schmidt, Florian Schneider, Tim Hoffmann, Sotirios Kotsopoulos, Michael Keckeisen
https://arxiv.org/abs/2403.03344

Learn to Code Sustainably: An Empirical Study on LLM-based Green Code Generation
The increasing use of information technology has led to a significant share of energy consumption and carbon emissions from data centers. These contributions are expected to rise with the growing demand for big data analytics, increasing digitization, and the development of large artificial intelligence (AI) models. The need to address the environmental impact of software development has led to increased interest in green (sustainable) coding and claims that the use of AI models can lead to ene…

This https://arxiv.org/abs/2309.05030 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCY_…

Decolonial AI Alignment: Openness, Viśe\d{s}a-Dharma, and Including Excluded Knowledges
Prior work has explicated the coloniality of artificial intelligence (AI) development and deployment through mechanisms such as extractivism, automation, sociological essentialism, surveillance, and containment. However, that work has not engaged much with alignment: teaching behaviors to a large language model (LLM) in line with desired values, and has not considered a mechanism that arises within that process: moral absolutism -- a part of the coloniality of knowledge. Colonialism has a histo…

An in-depth look at Nvidia's DGX H100 setup: 32 DGX boxes, each weighing 300lb, that house eight individual $25K H100 GPUs, cooling, and other chips (Wall Street Journal)
https://www.wsj.com/tech/ai/nvidia-chip-te…

This https://arxiv.org/abs/2403.01528 has been replaced.
link: https://scholar.google.com/scholar?q=a

Leveraging Biomolecule and Natural Language through Multi-Modal Learning: A Survey
The integration of biomolecular modeling with natural language (BL) has emerged as a promising interdisciplinary area at the intersection of artificial intelligence, chemistry and biology. This approach leverages the rich, multifaceted descriptions of biomolecules contained within textual data sources to enhance our fundamental understanding and enable downstream computational tasks such as biomolecule property prediction. The fusion of the nuanced narratives expressed through natural language …

The US DOJ says a former Google software engineer has been charged with stealing AI technology from Google while secretly working with two China-based companies (Eric Tucker/Associated Press)
https://apnews.com/article/china-google-justi…

Ex-Google software engineer charged with stealing AI technology while working with Chinese companies
The Justice Department says a former software engineer at Google has been charged with stealing artificial intelligence technology from the company while secretly working with two companies based in China. Linwei Ding was arrested in Newark, California, on four counts of federal trade secret theft. The case against Ding was being announced at an American Bar Association Conference in San Francisco by Attorney General Merrick Garland, who along with other law enforcement leaders has repeatedly w…

Concept NIST publication,
"Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile" , at first glance, nothing spectacular, common themes/elements.
https://airc.nist.gov/docs/NIST.AI.600-1.GenAI-Profile.ipd.pdf

Source: Y Combinator CEO Garry Tan early this year talked with OpenAI directors about joining the board, but it is unclear if the board is still considering Tan (Natasha Mascarenhas/The Information)
https://www.theinformation.com/articles/y-

Y Combinator CEO Garry Tan Discussed OpenAI Board Role
Y Combinator CEOGarry Tan, a longtime venture capitalist, early this year talked with directors of OpenAI about joining the board that governs the artificial intelligence startup valued at more than $80 billion, according to a person who has spoken to board members. The talks were preliminary, ...

VACO: a Multi-perspective Development of a Therapeutic and Motivational Virtual Robotic Agent for Concentration for children with ADHD
Birte Richter, Ira-Katharina Petras, Anna-Lisa Vollmer, Ayla Luong, Michael Siniatchkin, Britta Wrede
https://arxiv.org/abs/2405.03354

VACO: a Multi-perspective Development of a Therapeutic and Motivational Virtual Robotic Agent for Concentration for children with ADHD
In this work, we present (i) a novel approach how artificial intelligence can support in the therapy for better concentration of children with Attention Deficit Hyperactivity Disorder (ADHD) through motivational attention training with a virtual robotic agent and (ii) a development process in which different stakeholders are included with their perspectives. Therefore, we present three participative approaches to include the perspectives of different stakeholders. An online survey (Study I) was…

This https://arxiv.org/abs/2402.04154 has been replaced.
link: https://scholar.google.com/scholar?q=a

Read to Play (R2-Play): Decision Transformer with Multimodal Game Instruction
Developing a generalist agent is a longstanding objective in artificial intelligence. Previous efforts utilizing extensive offline datasets from various tasks demonstrate remarkable performance in multitasking scenarios within Reinforcement Learning. However, these works encounter challenges in extending their capabilities to new tasks. Recent approaches integrate textual guidance or visual trajectory into decision networks to provide task-specific contextual cues, representing a promising dire…

The AI Review Lottery: Widespread AI-Assisted Peer Reviews Boost Paper Scores and Acceptance Rates
Giuseppe Russo Latona, Manoel Horta Ribeiro, Tim R. Davidson, Veniamin Veselovsky, Robert West
https://arxiv.org/abs/2405.02150

The AI Review Lottery: Widespread AI-Assisted Peer Reviews Boost Paper Scores and Acceptance Rates
Journals and conferences worry that peer reviews assisted by artificial intelligence (AI), in particular, large language models (LLMs), may negatively influence the validity and fairness of the peer-review system, a cornerstone of modern science. In this work, we address this concern with a quasi-experimental study of the prevalence and impact of AI-assisted peer reviews in the context of the 2024 International Conference on Learning Representations (ICLR), a large and prestigious machine-learn…

XAI-Based Detection of Adversarial Attacks on Deepfake Detectors
Ben Pinhasov, Raz Lapid, Rony Ohayon, Moshe Sipper, Yehudit Aperstein
https://arxiv.org/abs/2403.02955

XAI-Based Detection of Adversarial Attacks on Deepfake Detectors
We introduce a novel methodology for identifying adversarial attacks on deepfake detectors using eXplainable Artificial Intelligence (XAI). In an era characterized by digital advancement, deepfakes have emerged as a potent tool, creating a demand for efficient detection systems. However, these systems are frequently targeted by adversarial attacks that inhibit their performance. We address this gap, developing a defensible deepfake detector by leveraging the power of XAI. The proposed methodolo…

The EU and the US issue a joint statement affirming a desire to increase cooperation over AI, including AI safety and governance, as well as broader tech issues (Natasha Lomas/TechCrunch)
https://techcrunch.com/2024/04/05/eu-us-ttc-joint-statement-ai/

US and EU commit to links aimed at boosting AI safety and risk research | TechCrunch
The European Union and United States put out a joint statement Friday affirming a desire to increase cooperation over artificial intelligence -- including The European Union and United States put out a joint statement Friday affirming a desire to increase cooperation over artificial intelligence -- including in relation to AI safety and governance.

SK Hynix plans to invest over $1B in advanced chip packaging in South Korea, as the company hopes to capture the growing demand for high-bandwidth memory (Yoolim Lee/Bloomberg)
https://www.bloomberg.com/news/articles/20

South Korea's AI Ambitions Get $1 Billion Boost From Nvidia Supplier SK Hynix
SK Hynix Inc. is ramping up its spending on advanced chip packaging, in hopes of capturing more of the burgeoning demand for a crucial component in artificial intelligence development: high-bandwidth memory.

Concept NIST publication,
"Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile" , at first glance, nothing spectacular, common themes/elements.
https://airc.nist.gov/docs/NIST.AI.600-1.GenAI-Profile.ipd.pdf

Large Language Models for UAVs: Current State and Pathways to the Future
Shumaila Javaid, Nasir Saeed, Bin He
https://arxiv.org/abs/2405.01745 https://

Large Language Models for UAVs: Current State and Pathways to the Future
Unmanned Aerial Vehicles (UAVs) have emerged as a transformative technology across diverse sectors, offering adaptable solutions to complex challenges in both military and civilian domains. Their expanding capabilities present a platform for further advancement by integrating cutting-edge computational tools like Artificial Intelligence (AI) and Machine Learning (ML) algorithms. These advancements have significantly impacted various facets of human life, fostering an era of unparalleled efficie…

Implications of Regulations on the Use of AI and Generative AI for Human-Centered Responsible Artificial Intelligence
Marios Constantinides, Mohammad Tahaei, Daniele Quercia, Simone Stumpf, Michael Madaio, Sean Kennedy, Lauren Wilcox, Jessica Vitak, Henriette Cramer, Edyta Bogucka, Ricardo Baeza-Yates, Ewa Luger, Jess Holbrook, Michael Muller, Ilana Golbin Blumenfeld, Giada Pistilli

Implications of Regulations on the Use of AI and Generative AI for Human-Centered Responsible Artificial Intelligence
With the upcoming AI regulations (e.g., EU AI Act) and rapid advancements in generative AI, new challenges emerge in the area of Human-Centered Responsible Artificial Intelligence (HCR-AI). As AI becomes more ubiquitous, questions around decision-making authority, human oversight, accountability, sustainability, and the ethical and legal responsibilities of AI and their creators become paramount. Addressing these questions requires a collaborative approach. By involving stakeholders from variou…

A look at Campaign Nucleus, an AI company from ex-Trump campaign manager Brad Parscale, who says its AI can generate emails, gauge voter sentiment, and more (Associated Press)
https://apnews.com/article/ai-trump-campaign-20…

Election 2024: Trump's digital guru Brad Parscale is back and pushing AI
Brad Parscale was the digital campaign operative who helped engineer Trump’s 2016 presidential victory with the heavy use of Facebook ads. Now Parscale is back working for Trump and is an evangelist for artificial intelligence. Parscale has a company called Campaign Nucleus that is working for Trump's campaign. He says his suite of AI-powered tools can spin up customized emails, parse oceans of data to gauge voter sentiment and find persuadable voters and amplify the social media posts of “…

AI-Powered Autonomous Weapons Risk Geopolitical Instability and Threaten AI Research
Riley Simmons-Edler, Ryan Badman, Shayne Longpre, Kanaka Rajan
https://arxiv.org/abs/2405.01859

AI-Powered Autonomous Weapons Risk Geopolitical Instability and Threaten AI Research
The recent embrace of machine learning (ML) in the development of autonomous weapons systems (AWS) creates serious risks to geopolitical stability and the free exchange of ideas in AI research. This topic has received comparatively little attention of late compared to risks stemming from superintelligent artificial general intelligence (AGI), but requires fewer assumptions about the course of technological development and is thus a nearer-future issue. ML is already enabling the substitution of…

Human vs. Machine: Language Models and Wargames
Max Lamparth, Anthony Corso, Jacob Ganz, Oriana Skylar Mastro, Jacquelyn Schneider, Harold Trinkunas
https://arxiv.org/abs/2403.03407

Human vs. Machine: Language Models and Wargames
Wargames have a long history in the development of military strategy and the response of nations to threats or attacks. The advent of artificial intelligence (AI) promises better decision-making and increased military effectiveness. However, there is still debate about how AI systems, especially large language models (LLMs), behave as compared to humans. To this end, we use a wargame experiment with 107 national security expert human players designed to look at crisis escalation in a fictional …

Read AI, which uses generative AI to summarize meetings, emails, and other messages, raised a $21M Series A led by Goodwater Capital (Michael Nuñez/VentureBeat)
https://venturebeat.com/ai/read-ai-raises-21m-to-bring-co…

Read AI raises $21M to bring connected intelligence to meetings, email, and messaging
Read AI, a startup developing artificial intelligence tools to summarize meetings and conversations, raises $21 million in Series A funding to expand its technology to emails, messaging and bring connected intelligence to workflows.

When Industry meets Trustworthy AI: A Systematic Review of AI for Industry 5.0
Eduardo Vyhmeister, Gabriel G. Castane
https://arxiv.org/abs/2403.03061 http…

When Industry meets Trustworthy AI: A Systematic Review of AI for Industry 5.0
Industry is at the forefront of adopting new technologies, and the process followed by the adoption has a significant impact on the economy and society. In this work, we focus on analysing the current paradigm in which industry evolves, making it more sustainable and Trustworthy. In Industry 5.0, Artificial Intelligence (AI), among other technology enablers, is used to build services from a sustainable, human-centric and resilient perspective. It is crucial to understand those aspects that can …

Read AI, which uses generative AI to summarize meetings, emails, and other messages, raised a $21M Series A led by Goodwater Capital (Michael Nuñez/VentureBeat)
https://venturebeat.com/ai/read-ai-raises-21m-to-bring-co…

Read AI raises $21M to bring connected intelligence to meetings, email, and messaging
Read AI, a startup developing artificial intelligence tools to summarize meetings and conversations, raises $21 million in Series A funding to expand its technology to emails, messaging and bring connected intelligence to workflows.

When Industry meets Trustworthy AI: A Systematic Review of AI for Industry 5.0
Eduardo Vyhmeister, Gabriel G. Castane
https://arxiv.org/abs/2403.03061 http…

When Industry meets Trustworthy AI: A Systematic Review of AI for Industry 5.0
Industry is at the forefront of adopting new technologies, and the process followed by the adoption has a significant impact on the economy and society. In this work, we focus on analysing the current paradigm in which industry evolves, making it more sustainable and Trustworthy. In Industry 5.0, Artificial Intelligence (AI), among other technology enablers, is used to build services from a sustainable, human-centric and resilient perspective. It is crucial to understand those aspects that can …

Sources: US officials told AMD that the company's AI chip for the Chinese market was still too powerful and it must obtain a license in order to sell it (Bloomberg)
https://www.bloomberg.com/news/articles/2024-03-0…

AMD Hits US Roadblock to Sell AI Chip for China as Part of Tech Crackdown
Advanced Micro Devices Inc. hit a US government roadblock in attempting to sell an artificial intelligence chip tailored for the Chinese market, according to people familiar with the matter, part of Washington’s crackdown on the export of advanced technologies to the country.

Source: Jony Ive and Sam Altman's AI device startup is in funding talks with Emerson Collective and Thrive Capital; Ive wants to raise up to $1B in funding (The Information)
https://www.theinformation.com/articles/jo

Jony Ive and Sam Altman’s AI Device Startup in Funding Talks With Emerson, Thrive
A mysterious company started by former Apple designer Jony Ive and OpenAI CEO Sam Altman to launch an artificial intelligence-powered personal device has started funding talks with some of the biggest names in venture capital. The startup has discussed deals with Emerson Collective and Thrive ...

The data center industry is struggling to meet its self-imposed sustainability goals as AI's booming growth increases electricity demand and strains power grids (Patrick Sisson/New York Times)
https://www.

A.I. Frenzy Complicates Efforts to Keep Power-Hungry Data Sites Green
Artificial intelligence’s booming growth is radically reshaping an already red-hot data center market, raising questions about whether these sites can be operated sustainably.

Elon Musk says "Tesla is increasing comp ... of our AI engineering team", after OpenAI has been "aggressively recruiting Tesla engineers" with "massive" offers (Bloomberg)
https://www.bloomberg.com/news/articles/20…

Elon Musk Says He’s Boosting Tesla (TSLA) Pay Amid Talent War With OpenAI
Elon Musk acknowledged Tesla Inc. is having to make special efforts to retain artificial intelligence specialists, some of whom have left the carmaker in the past year to join his AI venture.

A Washington state judge barred the use of AI-enhanced video as trial evidence in a ruling that experts say may be the first-of-its-kind in a US criminal court (Tim Stelloh/NBC News)
https://www.nbcnews.com/news/us-news/washi

Washington state judge blocks use of AI-enhanced video as evidence in possible first-of-its-kind ruling
A Washington state judge overseeing a triple murder case barred the use of video enhanced by artificial intelligence as evidence in a ruling that experts said may be the first-of-its-kind in a United States criminal court.

A profile of and interview with Rabbit CEO Jesse Lyu, on the origins of the R1, taking "10 minutes to design" the device, the AI gadget competition, and more (Raymond Wong/Inverse)
https://www.inverse.com/tech/rabbit-r1-jesse-lyu-interv…

Exclusive: Inside the Rise of Jesse Lyu and the Rabbit R1
Rabbit’s founder and CEO, Jesse Lyu, tells all about the origins of the R1, how he worked with Teenage Engineering to design it in "10 minutes," and what he thinks about the AI gadget competition, including the Humane Ai Pin and Open Interpreter 01 Light.