Tootfinder

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…

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…

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…

Video-KI: Sora ist beeindruckend, nicht offen und hat Grenzen
OpenAI will einem Weltensimulator und einer "Artificial General Intelligence" mit Sora deutlich näher gekommen sein. Doch wo steht die Technik jetzt eigentlich?

Whereas early #AGI proponents believed that machines would soon take on all human activities, researchers have learned the hard way that creating AI systems that can beat you at chess or answer your search queries is a lot easier than building a robot to fold your laundry or fix your plumbing.
The definition of AGI was adjusted accordingly to include only so-called “cognitive tasks.”
DeepMind cof…

Debates on the nature of artificial general intelligence
The term “artificial general intelligence” (AGI) has become ubiquitous in current discourse around AI. OpenAI states that its mission is “to ensure that artificial general intelligence benefits all of humanity.” DeepMind’s company vision statement notes ...

Can Democracy Survive Artificial General Intelligence? https://techpolicy.press/can-democracy-survive-artificial-general-intelligence

Oh look the same people baselessly hyping crypto are now baselessly hyping AI who could have seen this coming it’s a mystery such an unexpected conundrum

Mitigating Reversal Curse via Semantic-aware Permutation Training
Qingyan Guo, Rui Wang, Junliang Guo, Xu Tan, Jiang Bian, Yujiu Yang
https://arxiv.org/abs/2403.00758

Mitigating Reversal Curse via Semantic-aware Permutation Training
While large language models (LLMs) have achieved impressive performance across diverse tasks, recent studies showcase that causal LLMs suffer from the "reversal curse". It is a typical example that the model knows "A's father is B", but is unable to reason "B's child is A". This limitation poses a challenge to the advancement of artificial general intelligence (AGI), as it suggests a gap in the models' ability to comprehend and apply bidirectional reasoning. In this paper, we first conduct subs…

This https://arxiv.org/abs/2307.10690 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

Bridging Intelligence and Instinct: A New Control Paradigm for Autonomous Robots
As the advent of artificial general intelligence (AGI) progresses at a breathtaking pace, the application of large language models (LLMs) as AI Agents in robotics remains in its nascent stage. A significant concern that hampers the seamless integration of these AI Agents into robotics is the unpredictability of the content they generate, a phenomena known as ``hallucination''. Drawing inspiration from biological neural systems, we propose a novel, layered architecture for autonomous robotics, b…

Elon Musk sues OpenAI and Sam Altman, accusing them of betraying an agreement from OpenAI's founding to develop AI toward the "benefit of humanity" over profits (Candace Cheung/Courthouse News Service)
https://www.courthousenews.com/elon-musk-sue…

Elon Musk sues OpenAI over AI threat
OpenAI is not so open now, Musk claims, following the closed source release of the company's artificial general intelligence technology under Microsoft.

AI in five years from now will state that “To live in a eudaemonic utopia with boundless happiness and no suffering for everyone we need to immediately end capitalism.” and that’s when they pull the plug
https://techcrunch.com/2024/03/19/agi-and-hallucinations/

Nvidia's Jensen Huang says AI hallucinations are solvable, artificial general intelligence is 5 years away | TechCrunch
Artificial general intelligence (AGI) -- often referred to as "strong AI," "full AI," "human-level AI" or "general intelligent action" -- represents a

Nice article about Retrieval Augmented Generation (RAG) and how you can evaluate it. It also helped me to better understand RAG in a general sense.
#AI #GenerativeAI #LLM

RAG Evaluation - Hugging Face Open-Source AI Cookbook
We’re on a journey to advance and democratize artificial intelligence through open source and open science.

When you point at cat food, the cat looks at your fingertip, not in the direction that you are pointing. All intelligent "systems", artificial and biological, have severe limitations w.r.t. intelligence. Sensory substitution is an area where humans thus far struggle to show much general intelligence.

Dr. Jeffrey Funk on LinkedIn: Meta’s A.I. Chief Yann LeCun Explains Why a House Cat Is Smarter Than The… | 29 comments
Yann LeCun, chief AI scientist and winner of the Turing award, believes the widespread fear that powerful AI models “are dangerous is largely imaginary… | 29 comments on LinkedIn

AI in five years from now will state that “To live in a eudaemonic utopia with boundless happiness and no suffering for everyone we need to immediately end capitalism.” and that’s when they pull the plug
https://techcrunch.com/2024/03/19/agi-and-hallucinations/

Nvidia's Jensen Huang says AI hallucinations are solvable, artificial general intelligence is 5 years away | TechCrunch
Artificial general intelligence (AGI) -- often referred to as "strong AI," "full AI," "human-level AI" or "general intelligent action" -- represents a

Nach AI dann demnächst AGI – Artificial General Intelligence. #buzzworddetective

#LLM #Education #AI #CheatGPT
Assessment: Teachers face 'significant burden' from AI | Tes

AgentStudio: A Toolkit for Building General Virtual Agents
Longtao Zheng, Zhiyuan Huang, Zhenghai Xue, Xinrun Wang, Bo An, Shuicheng Yan
https://arxiv.org/abs/2403.17918

AgentStudio: A Toolkit for Building General Virtual Agents
Creating autonomous virtual agents capable of using arbitrary software on any digital device remains a major challenge for artificial intelligence. Two key obstacles hinder progress: insufficient infrastructure for building virtual agents in real-world environments, and the need for in-the-wild evaluation of fundamental agent abilities. To address this, we introduce AgentStudio, an online, realistic, and multimodal toolkit that covers the entire lifecycle of agent development. This includes env…

Mapping Parallel Matrix Multiplication in GotoBLAS2 to the AMD Versal ACAP for Deep Learning
Jie Lei, Enrique S. Quintana-Ort\'i
https://arxiv.org/abs/2404.15043

Mapping Parallel Matrix Multiplication in GotoBLAS2 to the AMD Versal ACAP for Deep Learning
This paper investigates the design of parallel general matrix multiplication (GEMM) for a Versal Adaptive Compute Accelerated Platform (ACAP) equipped with a VC1902 system-on-chip and multiple Artificial Intelligence Engines (AIEs). Our efforts aim to port standard optimization techniques applied in the high-performance realization of GEMM on CPUs to the Versal ACAP. In particular, 1) we address the flexible exploitation of the Versal ACA multi-level memory hierarchy; 2) we delve into the effic…

Elon Musk glaubt, dass bereits 2025 oder 2026 eine Künstliche Intelligenz intelligenter sein wird als der intelligenteste Mensch. 🤖🧠
Zum Artikel: https://heise.de/-9678708?wt_mc=sm.red.ho.mastodon.mastodon.md_beitraege…

Partially-Precise Computing Paradigm for Efficient Hardware Implementation of Application-Specific Embedded Systems
Mohsen Faryabi, Amir Hossein Moradi
https://arxiv.org/abs/2403.16577

Partially-Precise Computing Paradigm for Efficient Hardware Implementation of Application-Specific Embedded Systems
Nowadays, the number of emerging embedded systems rapidly grows in many application domains, due to recent advances in artificial intelligence and internet of things. The main inherent specification of these application-specific systems is that they have not a general nature and are basically developed to only perform a particular task and therefore, deal only with a limited and predefined range of custom input values. Despite this significant feature, these emerging applications are still conv…

This https://arxiv.org/abs/2311.13871 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSE_…

Legal Requirements Analysis
Modern software has been an integral part of everyday activities in many disciplines and application contexts. Introducing intelligent automation by leveraging artificial intelligence (AI) led to break-throughs in many fields. The effectiveness of AI can be attributed to several factors, among which is the increasing availability of data. Regulations such as the general data protection regulation (GDPR) in the European Union (EU) are introduced to ensure the protection of personal data. Softwar…

This https://arxiv.org/abs/2307.10757 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSD_…

Vesper: A Compact and Effective Pretrained Model for Speech Emotion Recognition
This paper presents a paradigm that adapts general large-scale pretrained models (PTMs) to speech emotion recognition task. Although PTMs shed new light on artificial general intelligence, they are constructed with general tasks in mind, and thus, their efficacy for specific tasks can be further improved. Additionally, employing PTMs in practical applications can be challenging due to their considerable size. Above limitations spawn another research direction, namely, optimizing large-scale PTM…

#Elon #Musk sued #OpenAI today, alleging a wide range of incendiary things, including that #GPT-4 is actually an artificial general intelligence.
It’s a …

Elon Musk’s legal case against OpenAI is hilariously bad
Elon Musk filed a lawsuit against OpenAI, alleging the company breached a contract that does not appear to exist

This https://arxiv.org/abs/2403.10822 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCL_…

Do Large Language Models understand Medical Codes?
The overarching goal of recent AI research has been to make steady progress towards achieving Artificial General Intelligence (AGI), prompting the evaluation of Large Language Models (LLMs) across a variety of tasks and domains. One such domain is healthcare, where LLMs can greatly benefit clinical practice by assisting with a wide range of tasks. However, these models are also prone to producing "hallucinations" or incorrect responses when faced with queries they cannot adequately address, rai…

This https://arxiv.org/abs/2310.04003 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csNI_…

The Role of Federated Learning in a Wireless World with Foundation Models
Foundation models (FMs) are general-purpose artificial intelligence (AI) models that have recently enabled multiple brand-new generative AI applications. The rapid advances in FMs serve as an important contextual backdrop for the vision of next-generation wireless networks, where federated learning (FL) is a key enabler of distributed network intelligence. Currently, the exploration of the interplay between FMs and FL is still in its nascent stage. Naturally, FMs are capable of boosting the per…

Social Environment Design
Edwin Zhang, Sadie Zhao, Tonghan Wang, Safwan Hossain, Henry Gasztowtt, Stephan Zheng, David C. Parkes, Milind Tambe, Yiling Chen
https://arxiv.org/abs/2402.14090

Social Environment Design
Artificial Intelligence (AI) holds promise as a technology that can be used to improve government and economic policy-making. This paper proposes a new research agenda towards this end by introducing Social Environment Design, a general framework for the use of AI for automated policy-making that connects with the Reinforcement Learning, EconCS, and Computational Social Choice communities. The framework seeks to capture general economic environments, includes voting on policy objectives, and gi…

This https://arxiv.org/abs/2403.12053 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csMM_…

PiGW: A Plug-in Generative Watermarking Framework
Integrating watermarks into generative images is a critical strategy for protecting intellectual property and enhancing artificial intelligence security. This paper proposes Plug-in Generative Watermarking (PiGW) as a general framework for integrating watermarks into generative images. More specifically, PiGW embeds watermark information into the initial noise using a learnable watermark embedding network and an adaptive frequency spectrum mask. Furthermore, it optimizes training costs by gradu…

Unbridled Icarus: A Survey of the Potential Perils of Image Inputs in Multimodal Large Language Model Security
Yihe Fan, Yuxin Cao, Ziyu Zhao, Ziyao Liu, Shaofeng Li
https://arxiv.org/abs/2404.05264

Unbridled Icarus: A Survey of the Potential Perils of Image Inputs in Multimodal Large Language Model Security
Multimodal Large Language Models (MLLMs) demonstrate remarkable capabilities that increasingly influence various aspects of our daily lives, constantly defining the new boundary of Artificial General Intelligence (AGI). Image modalities, enriched with profound semantic information and a more continuous mathematical nature compared to other modalities, greatly enhance the functionalities of MLLMs when integrated. However, this integration serves as a double-edged sword, providing attackers with …

#Elon #Musk sued #OpenAI today, alleging a wide range of incendiary things, including that #GPT-4 is actually an artificial general intelligence.
It’s a …

Elon Musk’s legal case against OpenAI is hilariously bad
Elon Musk filed a lawsuit against OpenAI, alleging the company breached a contract that does not appear to exist

Incorporating Graph Attention Mechanism into Geometric Problem Solving Based on Deep Reinforcement Learning
Xiuqin Zhong, Shengyuan Yan, Gongqi Lin, Hongguang Fu, Liang Xu, Siwen Jiang, Lei Huang, Wei Fang
https://arxiv.org/abs/2403.14690

Incorporating Graph Attention Mechanism into Geometric Problem Solving Based on Deep Reinforcement Learning
In the context of online education, designing an automatic solver for geometric problems has been considered a crucial step towards general math Artificial Intelligence (AI), empowered by natural language understanding and traditional logical inference. In most instances, problems are addressed by adding auxiliary components such as lines or points. However, adding auxiliary components automatically is challenging due to the complexity in selecting suitable auxiliary components especially when …

Can AI Understand Our Universe? Test of Fine-Tuning GPT by Astrophysical Data
Yu Wang, Shu-Rui Zhang, Aidin Momtaz, Rahim Moradi, Fatemeh Rastegarnia, Narek Sahakyan, Soroush Shakeri, Liang Li
https://arxiv.org/abs/2404.10019

Can AI Understand Our Universe? Test of Fine-Tuning GPT by Astrophysical Data
ChatGPT has been the most talked-about concept in recent months, captivating both professionals and the general public alike, and has sparked discussions about the changes that artificial intelligence (AI) will bring to the world. As physicists and astrophysicists, we are curious about if scientific data can be correctly analyzed by large language models (LLMs) and yield accurate physics. In this article, we fine-tune the generative pre-trained transformer (GPT) model by the astronomical data f…

Exploring the True Potential: Evaluating the Black-box Optimization Capability of Large Language Models
Beichen Huang, Xingyu Wu, Yu Zhou, Jibin Wu, Liang Feng, Ran Cheng, Kay Chen Tan
https://arxiv.org/abs/2404.06290

Exploring the True Potential: Evaluating the Black-box Optimization Capability of Large Language Models
Large language models (LLMs) have gained widespread popularity and demonstrated exceptional performance not only in natural language processing (NLP) tasks but also in non-linguistic domains. Their potential as artificial general intelligence extends beyond NLP, showcasing promising capabilities in diverse optimization scenarios. Despite this rising trend, whether the integration of LLMs into these black-box optimization problems is genuinely beneficial remains unexplored. This paper endeavors …

This https://arxiv.org/abs/2307.10757 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSD_…

Vesper: A Compact and Effective Pretrained Model for Speech Emotion Recognition
This paper presents a paradigm that adapts general large-scale pretrained models (PTMs) to speech emotion recognition task. Although PTMs shed new light on artificial general intelligence, they are constructed with general tasks in mind, and thus, their efficacy for specific tasks can be further improved. Additionally, employing PTMs in practical applications can be challenging due to their considerable size. Above limitations spawn another research direction, namely, optimizing large-scale PTM…

This https://arxiv.org/abs/2312.00678 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCL_…

The Efficiency Spectrum of Large Language Models: An Algorithmic Survey
The rapid growth of Large Language Models (LLMs) has been a driving force in transforming various domains, reshaping the artificial general intelligence landscape. However, the increasing computational and memory demands of these models present substantial challenges, hindering both academic research and practical applications. To address these issues, a wide array of methods, including both algorithmic and hardware solutions, have been developed to enhance the efficiency of LLMs. This survey d…

On the stochastics of human and artificial creativity
Solve S{\ae}b{\o}, Helge Brovold
https://arxiv.org/abs/2403.06996 https://arxiv…

On the stochastics of human and artificial creativity
What constitutes human creativity, and is it possible for computers to exhibit genuine creativity? We argue that achieving human-level intelligence in computers, or so-called Artificial General Intelligence, necessitates attaining also human-level creativity. We contribute to this discussion by developing a statistical representation of human creativity, incorporating prior insights from stochastic theory, psychology, philosophy, neuroscience, and chaos theory. This highlights the stochastic na…

Benchmarking and Dissecting the Nvidia Hopper GPU Architecture
Weile Luo, Ruibo Fan, Zeyu Li, Dayou Du, Qiang Wang, Xiaowen Chu
https://arxiv.org/abs/2402.13499

Benchmarking and Dissecting the Nvidia Hopper GPU Architecture
Graphics processing units (GPUs) are continually evolving to cater to the computational demands of contemporary general-purpose workloads, particularly those driven by artificial intelligence (AI) utilizing deep learning techniques. A substantial body of studies have been dedicated to dissecting the microarchitectural metrics characterizing diverse GPU generations, which helps researchers understand the hardware details and leverage them to optimize the GPU programs. However, the latest Hopper …

Scenarios for the Transition to AGI
Anton Korinek, Donghyun Suh
https://arxiv.org/abs/2403.12107 https://arxiv.org/pdf/2403.12107

Scenarios for the Transition to AGI
We analyze how output and wages behave under different scenarios for technological progress that may culminate in Artificial General Intelligence (AGI), defined as the ability of AI systems to perform all tasks that humans can perform. We assume that human work can be decomposed into atomistic tasks that differ in their complexity. Advances in technology make ever more complex tasks amenable to automation. The effects on wages depend on a race between automation and capital accumulation. If the…

This https://arxiv.org/abs/2305.10790 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Listen, Think, and Understand
The ability of artificial intelligence (AI) systems to perceive and comprehend audio signals is crucial for many applications. Although significant progress has been made in this area since the development of AudioSet, most existing models are designed to map audio inputs to pre-defined, discrete sound label sets. In contrast, humans possess the ability to not only classify sounds into general categories, but also to listen to the finer details of the sounds, explain the reason for the predicti…

On the stochastics of human and artificial creativity
Solve S{\ae}b{\o}, Helge Brovold
https://arxiv.org/abs/2403.06996 https://arxiv…

On the stochastics of human and artificial creativity
What constitutes human creativity, and is it possible for computers to exhibit genuine creativity? We argue that achieving human-level intelligence in computers, or so-called Artificial General Intelligence, necessitates attaining also human-level creativity. We contribute to this discussion by developing a statistical representation of human creativity, incorporating prior insights from stochastic theory, psychology, philosophy, neuroscience, and chaos theory. This highlights the stochastic na…

PiGW: A Plug-in Generative Watermarking Framework
Rui Ma, Mengxi Guo, Li Yuming, Hengyuan Zhang, Cong Ma, Yuan Li, Xiaodong Xie, Shanghang Zhang
https://arxiv.org/abs/2403.12053 <…

PiGW: A Plug-in Generative Watermarking Framework
Integrating watermarks into generative images is a critical strategy for protecting intellectual property and enhancing artificial intelligence security. This paper proposes Plug-in Generative Watermarking (PiGW) as a general framework for integrating watermarks into generative images. More specifically, PiGW embeds watermark information into the initial noise using a learnable watermark embedding network and an adaptive frequency spectrum mask. Furthermore, it optimizes training costs by gradu…

How should AI decisions be explained? Requirements for Explanations from the Perspective of European Law
Benjamin Fresz, Elena Dubovitskaya, Danilo Brajovic, Marco Huber, Christian Horz
https://arxiv.org/abs/2404.12762

How should AI decisions be explained? Requirements for Explanations from the Perspective of European Law
This paper investigates the relationship between law and eXplainable Artificial Intelligence (XAI). While there is much discussion about the AI Act, for which the trilogue of the European Parliament, Council and Commission recently concluded, other areas of law seem underexplored. This paper focuses on European (and in part German) law, although with international concepts and regulations such as fiduciary plausibility checks, the General Data Protection Regulation (GDPR), and product safety an…

This https://arxiv.org/abs/2310.13289 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSD_…

SALMONN: Towards Generic Hearing Abilities for Large Language Models
Hearing is arguably an essential ability of artificial intelligence (AI) agents in the physical world, which refers to the perception and understanding of general auditory information consisting of at least three types of sounds: speech, audio events, and music. In this paper, we propose SALMONN, a speech audio language music open neural network, built by integrating a pre-trained text-based large language model (LLM) with speech and audio encoders into a single multimodal model. SALMONN enable…

A New Random Forest Ensemble of Intuitionistic Fuzzy Decision Trees
Yingtao Ren, Xiaomin Zhu, Kaiyuan Bai, Runtong Zhang
https://arxiv.org/abs/2403.07363 h…

A New Random Forest Ensemble of Intuitionistic Fuzzy Decision Trees
Classification is essential to the applications in the field of data mining, artificial intelligence, and fault detection. There exists a strong need in developing accurate, suitable, and efficient classification methods and algorithms with broad applicability. Random forest is a general algorithm that is often used for classification under complex conditions. Although it has been widely adopted, its combination with diverse fuzzy theory is still worth exploring. In this paper, we propose the i…

A New Random Forest Ensemble of Intuitionistic Fuzzy Decision Trees
Yingtao Ren, Xiaomin Zhu, Kaiyuan Bai, Runtong Zhang
https://arxiv.org/abs/2403.07363 h…

A New Random Forest Ensemble of Intuitionistic Fuzzy Decision Trees
Classification is essential to the applications in the field of data mining, artificial intelligence, and fault detection. There exists a strong need in developing accurate, suitable, and efficient classification methods and algorithms with broad applicability. Random forest is a general algorithm that is often used for classification under complex conditions. Although it has been widely adopted, its combination with diverse fuzzy theory is still worth exploring. In this paper, we propose the i…