Aussie AI
AGI
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Last Updated 27 August, 2025
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by David Spuler, Ph.D.
Research on AGI
- Tao Feng, Chuanyang Jin, Jingyu Liu, Kunlun Zhu, Haoqin Tu, Zirui Cheng, Guanyu Lin, Jiaxuan You, 16 May 2024, How Far Are We From AGI, https://arxiv.org/abs/2405.10313
- Nathan Lambert, APR 18, 2024, Llama 3: Scaling open LLMs to AGI, https://www.interconnects.ai/p/llama-3-and-scaling-open-llms
- jbetke, June 3, 2024, General Intelligence (2024), https://nonint.com/2024/06/03/general-intelligence-2024/
- Steve Yadlowsky, Lyric Doshi, Nilesh Tripuraneni, Nov 2023, Pretraining Data Mixtures Enable Narrow Model Selection Capabilities in Transformer Models, https://arxiv.org/abs/2311.00871
- Denise Holt, Jan 29, 2024, “Deep Learning is Rubbish” — Karl Friston & Yann LeCun Face Off at Davos 2024 World Economic Forum, 𝐀𝐈 𝐦𝐨𝐧𝐤𝐬.𝐢𝐨, https://medium.com/aimonks/deep-learning-is-rubbish-karl-friston-yann-lecun-face-off-at-davos-2024-world-economic-forum-494e82089d22
- Hayden Field, June 20, 2024, OpenAI competitor Anthropic announces its most powerful AI yet, CNBC, https://www.cnbc.com/2024/06/20/anthropic-claude-3point5-sonnet-ai-announced.html
- Arjun Kharpal, June 21, 2024, SoftBank CEO says AI that is 10,000 times smarter than humans will come out in 10 years, CNBC, https://www.cnbc.com/2024/06/21/softbank-ceo-predicts-ai-that-is-10000-times-smarter-than-humans-.html
- Rahul Verma, June 21, 2024, OpenAI's GPT-5 Pushed Back To Late 2025, But Promises Ph.D.-Level Abilities, https://in.mashable.com/tech/77593/openais-gpt-5-pushed-back-to-late-2025-but-promises-phd-level-abilities
- Ignacio de Gregorio, June 2024, Mixture-of-Agents Beats ChatGPT-4o: Collaboration is Intelligence, https://medium.com/@ignacio.de.gregorio.noblejas/mixture-of-agents-beats-chatgpt-4o-6470a74f1525
- Rachel Metz, July 12, 2024, OpenAI Scale Ranks Progress Toward ‘Human-Level’ Problem Solving: The company believes its technology is approaching the second level of five on the path to artificial general intelligence, Bloomberg, https://www.bloomberg.com/news/articles/2024-07-11/openai-sets-levels-to-track-progress-toward-superintelligent-ai?sref=P6Q0mxvj
- Anna Tong and Katie Paul July 16, 2024, Exclusive: OpenAI working on new reasoning technology under code name ‘Strawberry’, https://www.reuters.com/technology/artificial-intelligence/openai-working-new-reasoning-technology-under-code-name-strawberry-2024-07-12/
- Ethan Mollick, May 12, 2024, Superhuman? What does it mean for AI to be better than a human? And how can we tell? https://www.oneusefulthing.org/p/superhuman
- Zarif Bin Akhtar, Mapping Generative Artificial Intelligence (GAI's) Exciting Future: From Gemini to Q* and Beyond, https://publications.eai.eu/index.php/airo/article/view/5962 https://doi.org/10.4108/airo.5962 PDF: https://publications.eai.eu/index.php/airo/article/view/5962/3329
- Jack Dymond, August 2024, Progressive Intelligence for Low-Power Devices, Ph.D. Thesis, Faculty of Engineering and Physical Sciences, School of Electronics and Computer Science, University of Southampton, https://eprints.soton.ac.uk/492900/1/JackDymond-Final-Thesis.pdf
- Rohin Shah, Seb Farquhar, Anca Dragan, 21st Aug 2024, AGI Safety and Alignment at Google DeepMind: A Summary of Recent Work, https://www.alignmentforum.org/posts/79BPxvSsjzBkiSyTq/agi-safety-and-alignment-at-google-deepmind-a-summary-of
- Roy Lo, June 13, 2024, Defining AI 2.0: Beyond Generative AI, https://www.linkedin.com/pulse/defining-ai-20-beyond-generative-roy-lo-tbvie/
- Ryan McNeal, Aug 27, 2024, ChatGPT and GPT-4 could get a sweet upgrade this fall with 'strawberry', https://www.androidauthority.com/openai-strawberry-ai-3475682/
- Vishal Rajput, Jul 8, 2024, Why LLMs Can’t Plan And Unlikely To Reach AGI? https://medium.com/aiguys/why-llms-cant-plan-and-unlikely-to-reach-agi-642bda3e0aa3
- Lareina Yee, June 7, 2024, Gen AI: A cognitive industrial revolution, https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/gen-ai-a-cognitive-industrial-revolution
- Martin_Casado, Aug 31, 2024, Tweet (State of LLMs) https://threadreaderapp.com/thread/1829905130512400775.html
- Gian Segato, September 2024, The dawn of a new startup era, https://giansegato.com/essays/dawn-new-startup-era
- Anson Ho, Tamay Besiroglu, Ege Erdil, David Owen, Robi Rahman, Zifan Carl Guo, David Atkinson, Neil Thompson, Jaime Sevilla, Mar 12, 2024, Algorithmic Progress in Language Models, Epoch AI, https://epochai.org/blog/algorithmic-progress-in-language-models
- Anson Ho, Tamay Besiroglu, Ege Erdil, David Owen, Robi Rahman, Zifan Carl Guo, David Atkinson, Neil Thompson, Jaime Sevilla, 9 Mar 2024, Algorithmic progress in language models, https://arxiv.org/abs/2403.05812
- Alberto Romero. Sep 10, 2024, Big News: OpenAI to Launch AI Model That Can Reason in 2 Weeks, https://www.thealgorithmicbridge.com/p/big-news-openai-to-launch-ai-model
- David Gilmore, Sep 2024, When will AI outthink humans? https://davidvgilmore.com/writings/outthinking-ai (Interesting analysis of all the GPUs in the world and when they will "out-think" all the human knowledge workers, predicting a range of years from 2028 to 2035, depending on assumptions.)
- Chloe Berger, October 2, 2024, Mark Cuban says his puppy is ‘smarter than AI is today’, https://fortune.com/2024/10/01/mark-cuban-dog-puppy-smarter-than-ai/
- Julia Love and Rachel Metz, October 2, 2024, Google Is Working on Reasoning AI, Chasing OpenAI’s Efforts, https://www.bloomberg.com/news/articles/2024-10-02/google-is-working-on-reasoning-ai-chasing-openai-s-efforts
- Samantha Kelly, Sept. 29, 2024, 'Superintelligent' AI Is Only a Few Thousand Days Away: OpenAI CEO Sam Altman, https://www.cnet.com/tech/services-and-software/superintelligent-ai-is-only-a-few-thousand-days-away-openai-ceo-sam-altman/
- Tianyang Zhong, Zhengliang Liu, Yi Pan, Yutong Zhang, Yifan Zhou, Shizhe Liang, Zihao Wu, Yanjun Lyu, Peng Shu, Xiaowei Yu, Chao Cao, Hanqi Jiang, Hanxu Chen, Yiwei Li, Junhao Chen, Huawen Hu, Yihen Liu, Huaqin Zhao, Shaochen Xu, Haixing Dai, Lin Zhao, Ruidong Zhang, Wei Zhao, Zhenyuan Yang, Jingyuan Chen, Peilong Wang, Wei Ruan, Hui Wang, Huan Zhao, Jing Zhang, Yiming Ren, Shihuan Qin, Tong Chen, Jiaxi Li, Arif Hassan Zidan, Afrar Jahin, Minheng Chen, Sichen Xia, Jason Holmes, Yan Zhuang, Jiaqi Wang, Bochen Xu, Weiran Xia, Jichao Yu, Kaibo Tang, Yaxuan Yang, Bolun Sun, Tao Yang, Guoyu Lu, Xianqiao Wang, Lilong Chai, He Li, Jin Lu, Lichao Sun, Xin Zhang, Bao Ge, Xintao Hu, Lian Zhang, Hua Zhou, Lu Zhang, Shu Zhang, Ninghao Liu, Bei Jiang, Linglong Kong, Zhen Xiang, Yudan Ren, Jun Liu, Xi Jiang, Yu Bao, Wei Zhang, Xiang Li, Gang Li, Wei Liu, Dinggang Shen, Andrea Sikora, Xiaoming Zhai, Dajiang Zhu, Tianming Liu, 27 Sep 2024, Evaluation of OpenAI o1: Opportunities and Challenges of AGI, https://arxiv.org/abs/2409.18486
- https://www.cio.com/article/3567138/ai-native-software-engineering-may-be-closer-than-developers-think.html
- Ignacio de Gregorio Noblejas, October 20, 2024, The Anti-LLM Revolution Begins,https://thetechoasis.beehiiv.com/p/the-anti-llm-revolution-begins
- Aki Ranin, Sep 2, 2024, The Code Canaries Are Singing — Our Path Toward AGI: How the fate of human software developers reveals our path toward AGI, https://akiranin.medium.com/the-code-canaries-are-singing-our-path-toward-agi-6c234cae0189
- Will Lockett Nov 2024, Apple Calls BS On The AI Revolution, They aren’t late to the AI game; they are just the only sceptical big tech company. https://medium.com/predict/apple-calls-bullshit-on-the-ai-revolution-ae38fdf83392
- Anthony Ha, Nov 2024, OpenAI reportedly developing new strategies to deal with AI improvement slowdown, https://techcrunch.com/2024/11/09/openai-reportedly-developing-new-strategies-to-deal-with-ai-improvement-slowdown/
- Michael Nuñez, November 11, 2024, AI’s math problem: FrontierMath benchmark shows how far technology still has to go, https://venturebeat.com/ai/ais-math-problem-frontiermath-benchmark-shows-how-far-technology-still-has-to-go/
- Kyle Orland, 13 Nov 2024, What if AI doesn’t just keep getting better forever? New reports highlight fears of diminishing returns for traditional LLM training. https://arstechnica.com/ai/2024/11/what-if-ai-doesnt-just-keep-getting-better-forever/
- Gary Marcus, Nov 25, 2024, A new AI scaling law shell game? Scaling laws ain’t what they used to be, https://garymarcus.substack.com/p/a-new-ai-scaling-law-shell-game
- Brian Merchant, Dec 2024, AI Generated Business: The Rise of AGI and the Rush to Find a Working Business Model, https://ainowinstitute.org/general/ai-generated-business
- David Luan, Pieter Abbeel, December 09, 2024, Amazon opens new AI lab in San Francisco focused on long-term research bets. The Amazon AGI SF Lab will focus on developing new foundational capabilities for enabling useful AI agents. https://www.amazon.science/blog/amazon-opens-new-ai-lab-in-san-francisco-focused-on-long-term-research-bets
- Deirdre Bosa, Jasmine Wu, Dec 11 2024, The limits of intelligence — Why AI advancement could be slowing down, https://www.cnbc.com/2024/12/11/why-ai-advancement-could-be-slowing-down.html
- Alberto Romero, Dec 21, 2024, OpenAI o3 Model Is a Message From the Future: Update All You Think You Know About AI. Incredible, a miracle, more than just a better state-of-the-art AI model. https://www.thealgorithmicbridge.com/p/openai-o3-model-is-a-message-from
- Sabrina Ortiz, Dec. 20, 2024, OpenAI unveils its most advanced o3 reasoning model on its last day of 'shipmas', https://www.zdnet.com/article/openai-unveils-its-most-advanced-o3-reasoning-model-on-its-last-day-of-shipmas/
- Akash Bajwa, Jan 06, 2025, Test-Time Search: A Path To AGI: Stacking Scaling Laws And Reward Engineering, https://akashbajwa.substack.com/p/test-time-search-a-path-to-agi
- Duncan Anderson, Jan 2025, The wall that wasn’t: Benchmark results for the latest AI models suggest that any “scaling wall” has already been breached and we’re on the path to AGI. https://medium.com/barnacle-labs/the-wall-that-wasnt-62c617f66ad4
- Alhassan Mumuni, Fuseini Mumuni, 6 Jan 2025, Large language models for artificial general intelligence (AGI): A survey of foundational principles and approaches, https://arxiv.org/abs/2501.03151
- Jeffrey Anthony, Jan 2025, No GPT-5 in 2025 and No AGI — Ever. The Triadic Nature of Meaning-Making and the Fallacy of AI’s Understanding. https://medium.com/@WeWillNotBeFlattened/no-gpt-5-in-2025-and-no-agi-ever-aa9384efdbe5
- Ndea, Jan 16, 2025, Ndea is building frontier AI systems that blend intuitive pattern recognition and formal reasoning into a unified architecture., https://ndea.com/
- Akash Bajwa Jan 27, 2025, The Post-R1 World: AI Economics Have Irreversibly Changed, https://akashbajwa.substack.com/p/the-post-r1-world
- Mohit Sewak, Ph.D., January 29, 2025, Achieving General Intelligence (AGI) and Super Intelligence (ASI): Pathways, Uncertainties, and Ethical Concerns, https://towardsai.net/p/l/achieving-general-intelligence-agi-and-super-intelligence-asi-pathways-uncertainties-and-ethical-concerns
- Alberto Romero, Feb 06, 2025, AGI Is Already Here—It’s Just Not Evenly Distributed: Or: why you should learn to prompt AI models, https://open.substack.com/pub/thealgorithmicbridge/p/agi-is-already-hereits-just-not-evenly
- Arjun Kharpal, Feb 6 2025, ‘Dangerous proposition’: Top scientists warn of out-of-control AI, https://www.cnbc.com/2025/02/07/dangerous-proposition-top-scientists-warn-of-out-of-control-ai.html
- Nikhil Anand, Feb 2025, Why I think DeepSeek-R1 just revealed the path to AGI. Here’s a visual explanation of exactly what makes DeepSeek-R1 so good. https://ai.gopubby.com/why-i-think-deepseek-r1-just-revealed-the-path-to-agi-d0add267197d
- Sam Altman, Feb 10, 2025, Three Observations, https://blog.samaltman.com/three-observations (Talks about scaling laws, inference costs reducing, and AGI. One of them: "The cost to use a given level of AI falls about 10x every 12 months, and lower prices lead to much more use. ")
- Tobias Schnabel, Kiran Tomlinson, Adith Swaminathan, Jennifer Neville, 19 May 2025 (v2), Lost in Transmission: When and Why LLMs Fail to Reason Globally, https://arxiv.org/abs/2505.08140
- Apoorv Agrawal, May 23, 2025, Why Cars Drive Themselves Before Computers Do: Robocars are ready; robot secretaries aren’t… yet, https://apoorv03.com/p/autonomy
- Parshin Shojaee, Maxwell Horton, Iman Mirzadeh, Samy Bengio, Keivan Alizadeh, June 2025, The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity, Apple, https://machinelearning.apple.com/research/illusion-of-thinking https://ml-site.cdn-apple.com/papers/the-illusion-of-thinking.pdf
- Dr. Ashish Bamania, June 2025, Apple’s New Research Shows That LLM Reasoning Is Completely Broken: A deep dive into Apple research that exposes the flawed thinking process in state-of-the-art Reasoning LLMs, https://ai.gopubby.com/apples-new-research-shows-that-llm-reasoning-is-completely-broken-47b5be71a06a
- François Chollet, 25 Nov 2019 (v2), On the Measure of Intelligence, https://arxiv.org/abs/1911.01547
- Kenneth Payne, Baptiste Alloui-Cros, 3 Jul 2025, Strategic Intelligence in Large Language Models: Evidence from evolutionary Game Theory, https://arxiv.org/abs/2507.02618
- David De Cremer and Garry Kasparov, March 18, 2021, AI Should Augment Human Intelligence, Not Replace It https://hbr.org/2021/03/ai-should-augment-human-intelligence-not-replace-it
- Eli Amdur, Nov 25, 2023, Jobs AI Just Can't Do, Forbes https://www.forbes.com/sites/eliamdur/2023/11/25/jobs-ai-just-cant-do/
- Maryville University Online. June 6, 2024 Artificial Intelligence vs. Human Intelligence, https://online.maryville.edu/blog/ai-vs-human-intelligence/
- Human- versus Artificial Intelligence - PMC - PubMed Central https://pmc.ncbi.nlm.nih.gov/articles/PMC8108480/ PDF: https://pmc.ncbi.nlm.nih.gov/articles/PMC8108480/pdf/frai-04-622364.pdf (Good article on the nature of intelligence.)
- AI Won't Replace Humans – Here's The Surprising Reason Why https://www.forbes.com/sites/bernardmarr/2024/11/28/ai-wont-replace-humans--heres-the-surprising-reason-why/
- Shneiderman, B. (2020). Human-Centered Artificial Intelligence: Reliable, Safe & Trustworthy. International Journal of Human–Computer Interaction, 36(6), 495–504. https://doi.org/10.1080/10447318.2020.1741118 https://www.tandfonline.com/doi/full/10.1080/10447318.2020.1741118
- Joe McKendrick, July 23, 2025, Will AI think like humans? We're not even close - and we're asking the wrong question, https://www.zdnet.com/article/will-ai-think-like-humans-were-not-even-close-and-were-asking-the-wrong-question/
- Webb Wright, July 1, 2025, Meta's new AI lab aims to deliver 'personal superintelligence for everyone' - whatever that means, https://www.zdnet.com/article/metas-new-ai-lab-aims-to-deliver-personal-superintelligence-for-everyone-whatever-that-means/
- Lester Mapp, June 17, 2025 , Apple's 'The Illusion of Thinking' is shocking - but here's what it missed, https://www.zdnet.com/article/apples-the-illusion-of-thinking-is-shocking-but-heres-what-it-missed/
- Sabrina Ortiz, June 17, 2025, What Apple's controversial research paper really tells us about LLMs, https://www.zdnet.com/article/what-apples-controversial-research-paper-really-tells-us-about-llms/
- Zvi, 11th Jun 2025, Give Me a Reason(ing Model), https://www.lesswrong.com/posts/tnc7YZdfGXbhoxkwj/give-me-a-reason-ing-model
- Peter Wildeford, Aug 08, 2025, GPT-5: a small step for intelligence, a giant leap for normal people: GPT-5 focuses on where the money is - everyday users, not AI elites, https://peterwildeford.substack.com/p/gpt-5-a-small-step-for-intelligence
- Kenneth Wolters, Aug 12, 2025, No AGI in Sight: What This Means for LLMs, https://kennethwolters.com/posts/no-agi/
- Mark Zilberman, 13 Aug 2025, Extending the Entropic Potential of Events for Uncertainty Quantification and Decision-Making in Artificial Intelligence, https://arxiv.org/abs/2508.10241
- Yi Dong, Yusuke Muraoka, Scott Shi, and Yi Zhang, 14 Aug 2025, MM-Food-100K: A 100,000-Sample Multimodal Food Intelligence Dataset with Verifiable Provenance, https://arxiv.org/abs/2508.10429
- Silvia Garc\'ia-M\'endez, Francisco de Arriba-P\'erez, 8 Aug 2025, Detecting and explaining postpartum depression in real-time with generative artificial intelligence, https://arxiv.org/abs/2508.10025
- Yuksel Aydin, 9 Aug 2025, Cognitive Cybersecurity for Artificial Intelligence: Guardrail Engineering with CCS-7, https://arxiv.org/abs/2508.10033
- Nitin Rai, Nathan S. Boyd, Gary E. Vallad, Arnold W. Schumann, 13 Aug 2025, Improving watermelon (Citrullus lanatus) disease classification with generative artificial intelligence (GenAI)-based synthetic and real-field images via a custom EfficientNetV2-L model, https://arxiv.org/abs/2508.10156
- Amine Tellache, Abdelaziz Amara Korba, Amdjed Mokhtari, Horea Moldovan, Yacine Ghamri-Doudane, 14 Aug 2025, Advancing Autonomous Incident Response: Leveraging LLMs and Cyber Threat Intelligence, https://arxiv.org/abs/2508.10677
- Kei-Sing Ng, 13 Aug 2025, On the Definition of Intelligence, https://arxiv.org/abs/2507.22423
- Ilias Chatzistefanidis, Navid Nikaein, 23 Jul 2025, Symbiotic Agents: A Novel Paradigm for Trustworthy AGI-driven Networks, https://arxiv.org/abs/2507.17695
- C.H.E. Jordaan, M. van der Stelt, T.J.J. Maal, V.M.A. Stirler, R. Leijendekkers, T. Kachman, G.A. de Jong, 30 Apr 2025, Evaluating Artificial Intelligence Algorithms for the Standardization of Transtibial Prosthetic Socket Shape Design, https://arxiv.org/abs/2507.16818
- Guang Gao, Jianan Wang, Jinbo Zuo, Junnan Jiang, Jingfan Zhang, Xianwen Zeng, Yuejiang Zhu, Lianyang Ma, Ke Chen, Minhua Sheng, Ruirui Zhang, Zhaohui An, 23 Jul 2025, Towards Human-level Intelligence via Human-like Whole-Body Manipulation, https://arxiv.org/abs/2507.17141
- Georgios Mappouras, 23 Jul 2025, Turing Test 2.0: The General Intelligence Threshold, https://arxiv.org/abs/2505.19550
- Obumneme Zimuzor Nwafor and Mohammed Abdul Majeed Al Hooti, 23 Jul 2025, Artificial Intelligence for Green Hydrogen Yield Prediction and Site Suitability using SHAP-Based Composite Index: Focus on Oman, https://arxiv.org/abs/2507.14219
- Yanjun Zheng, Xiyang Du, Longfei Liao, Xiaoke Zhao, Zhaowen Zhou, Bo Zhang, Jiawei Liu, Xiang Qi, Zhe Li, Zhiqiang Zhang, Wei Wang and Peng Zhang, 23 Jul 2025, Agentar-Fin-R1: Enhancing Financial Intelligence through Domain Expertise, Training Efficiency, and Advanced Reasoning, https://arxiv.org/abs/2507.16802
- Shai Shalev-Shwartz and Amnon Shashua, 13 Jul 2025, From Reasoning to Super-Intelligence: A Search-Theoretic Perspective, https://arxiv.org/abs/2507.15865
- Simon Ouellette, 17 Jul 2025, Out-of-Distribution Generalization in the ARC-AGI Domain: Comparing Execution-Guided Neural Program Synthesis and Test-Time Fine-Tuning, https://arxiv.org/abs/2507.15877
- Andy E. Williams, 18 Jul 2025, The Recursive Coherence Principle: A Formal Constraint on Scalable Intelligence, Alignment, and Reasoning Architecture, https://arxiv.org/abs/2507.15880
- Li-Hsiang Shen, Jyun-Jhe Huang, 22 Jul 2025, CHIMERA: Compressed Hybrid Intelligence for Twin-Model Enhanced Multi-Agent Deep Reinforcement Learning for Multi-Functional RIS-Assisted Space-Air-Ground Integrated Networks, https://arxiv.org/abs/2507.16204
- Xin-De Wang, Zhi-Rui Chen, Peng-Jie Guo, Ze-Feng Gao, Cheng Mu, Zhong-Yi Lu, 22 Jul 2025, Perovskite-R1: A Domain-Specialized LLM for Intelligent Discovery of Precursor Additives and Experimental Design, https://arxiv.org/abs/2507.16307
- Christian D. Blakely, 22 Jul 2025, Symbolic Graph Intelligence: Hypervector Message Passing for Learning Graph-Level Patterns with Tsetlin Machines, https://arxiv.org/abs/2507.16537
- Zixu Wang, Yuhan Wang, Junfei Ma, Fuyuan Wu, Junchi Yan, Xiaohui Yuan, Zhe Zhang, Jie Zhang, 22 Jul 2025, Predictive Hydrodynamic Simulations for Laser Direct-drive Implosion Experiments via Artificial Intelligence, https://arxiv.org/abs/2507.16227
- S.-Y. Zhang, J. Tian, S.-L. Liu, H.-M. Zhang, H.-Y. Bai, Y.-C. Hu, W.-H. Wang, 22 Jul 2025, Constructing material network representations for intelligent amorphous alloys design, https://arxiv.org/abs/2507.16336
- Jinming Hu, Hassan Nawaz, Yuting Rui, Lijie Chi, Arif Ullah, Pavlo O. Dral, 22 Jul 2025, Aitomia: Your Intelligent Assistant for AI-Driven Atomistic and Quantum Chemical Simulations, https://arxiv.org/abs/2505.08195
- Shanghai AI Lab: Yicheng Bao, Guanxu Chen, Mingkang Chen, Yunhao Chen, Chiyu Chen, Lingjie Chen, Sirui Chen, Xinquan Chen, Jie Cheng, Yu Cheng, Dengke Deng, Yizhuo Ding, Dan Ding, Xiaoshan Ding, Yi Ding, Zhichen Dong, Lingxiao Du, Yuyu Fan, Xinshun Feng, Yanwei Fu, Yuxuan Gao, Ruijun Ge, Tianle Gu, Lujun Gui, Jiaxuan Guo, Qianxi He, Yuenan Hou, Xuhao Hu, Hong Huang, Kaichen Huang, Shiyang Huang, Yuxian Jiang, Shanzhe Lei, Jie Li, Lijun Li, Hao Li, Juncheng Li, Xiangtian Li, Yafu Li, Lingyu Li, Xueyan Li, Haotian Liang, Dongrui Liu, Qihua Liu, Zhixuan Liu, Bangwei Liu, Huacan Liu, Yuexiao Liu, Zongkai Liu, Chaochao Lu, Yudong Lu, Xiaoya Lu, Zhenghao Lu, Qitan Lv, Caoyuan Ma, Jiachen Ma, Xiaoya Ma, Zhongtian Ma, Lingyu Meng, Ziqi Miao, Yazhe Niu, Yuezhang Peng, Yuan Pu, Han Qi, Chen Qian, Xingge Qiao, et al. (50 additional authors not shown), 24 Jul 2025, SafeWork-R1: Coevolving Safety and Intelligence under the AI-45$^{\circ}$ Law, https://arxiv.org/abs/2507.18576
- Alberto Marchisio and Muhammad Shafique, 24 Jul 2025, Neuromorphic Computing for Embodied Intelligence in Autonomous Systems: Current Trends, Challenges, and Future Directions, https://arxiv.org/abs/2507.18139
- Zhangqi Liu, 22 Jul 2025, Human-AI Co-Creation: A Framework for Collaborative Design in Intelligent Systems, https://arxiv.org/abs/2507.17774
- Alberto Hern\'andez-Espinosa, Luan Ozelim, Felipe S. Abrah\~ao, Hector Zenil, 24 Jul 2025, SuperARC: An Agnostic Test for Narrow, General, and Super Intelligence Based On the Principles of Recursive Compression and Algorithmic Probability, https://arxiv.org/abs/2503.16743
- Hanzhi Zhou, Erik Hornberger, Pengsheng Guo, Xiyou Zhou, Saiwen Wang, Xin Wang, Yifei He, Xuankai Chang, Rene Rauch, Louis D'hauwe, John Peebles, Alec Doane, Kohen Chia, Jenna Thibodeau, Zi-Yi Dou, Yuanyang Zhang, Ruoming Pang, Reed Li, Zhifeng Chen, Jeremy Warner, Zhaoyang Xu, Sophy Lee, David Mizrahi, Ramsey Tantawi, Chris Chaney, Kelsey Peterson, Jun Qin, Alex Dombrowski, Mira Chiang, Aiswarya Raghavan, Gerard Casamayor, Qibin Chen, Aonan Zhang, Nathalie Tran, Jianyu Wang, Hang Su, Thomas Voice, Alessandro Pappalardo, Brycen Wershing, Prasanth Yadla, Rui Li, Priyal Chhatrapati, Ismael Fernandez, Yusuf Goren, Xin Zheng, Forrest Huang, Tao Lei, Eray Yildiz, Alper Kokmen, Gokul Santhanam, Areeba Kamal, Kaan Elgin, Dian Ang Yap, Jeremy Liu, Peter Gray, Howard Xing, Kieran Liu, Matteo Ronchi, et al. (337 additional authors not shown), 17 Jul 2025, Apple Intelligence Foundation Language Models: Tech Report 2025, https://arxiv.org/abs/2507.13575
- Shuiguang Deng, Di Yu, Changze Lv, Xin Du, Linshan Jiang, Xiaofan Zhao, Wentao Tong, Xiaoqing Zheng, Weijia Fang, Peng Zhao, Gang Pan, Schahram Dustdar, Albert Y. Zomaya, 18 Jul 2025, Edge Intelligence with Spiking Neural Networks, https://arxiv.org/abs/2507.14069
- Maria Tsfasman, Ramin Ghorbani, Catholijn M. Jonker, Bernd Dudzik, 18 Jul 2025, The Emotion-Memory Link: Do Memorability Annotations Matter for Intelligent Systems?, https://arxiv.org/abs/2507.14084
- Michael Timothy Bennett, 18 Jul 2025, What the F*ck Is Artificial General Intelligence?, https://arxiv.org/abs/2503.23923
- Nick Byrd, 17 Jul 2025, Strategic Reflectivism In Intelligent Systems, https://arxiv.org/abs/2505.22987
- Abhishek Sriram, Neal Tuffy, 18 Jul 2025, Accelerating RF Power Amplifier Design via Intelligent Sampling and ML-Based Parameter Tuning, https://arxiv.org/abs/2507.11928
- Haobo Yang, Shiyan Zhang, Zhuoyi Yang, Xinyu Zhang, Jilong Guo, Zongyou Yang, Jun Li, 18 Jul 2025, Entropy Loss: An Interpretability Amplifier of 3D Object Detection Network for Intelligent Driving, https://arxiv.org/abs/2409.00839
- Rahul Kabali, 4 Jul 2025, The Free Will Equation: Quantum Field Analogies for AGI, https://arxiv.org/abs/2507.14154
- Elio Grande, 20 Jul 2025, The Endless Tuning. An Artificial Intelligence Design To Avoid Human Replacement and Trace Back Responsibilities, https://arxiv.org/abs/2507.14909
- Mohammad Mashayekhi, Sara Ahmadi Majd, Arian AmirAmjadi, Parsa Hosseini, 20 Jul 2025, Clinical Semantic Intelligence (CSI): Emulating the Cognitive Framework of the Expert Clinician for Comprehensive Oral Disease Diagnosis, https://arxiv.org/abs/2507.15140
- Qianchao Wang, Yuxuan Ding, Chuanzhen Jia, Zhe Li, Yaping Du, 21 Jul 2025, Explainable Artificial Intelligence based Soft Evaluation Indicator for Arc Fault Diagnosis, https://arxiv.org/abs/2507.15239
- Julien Pourcel, C\'edric Colas, Pierre-Yves Oudeyer, 10 Jul 2025, Self-Improving Language Models for Evolutionary Program Synthesis: A Case Study on ARC-AGI, https://arxiv.org/abs/2507.14172
- Yajiao Dai, Jun Li, Zhen Mei, Yiyang Ni, Shi Jin, Zengxiang Li, Sheng Guo, Wei Xiang, 12 Jul 2025, Semi-Supervised Federated Learning via Dual Contrastive Learning and Soft Labeling for Intelligent Fault Diagnosis, https://arxiv.org/abs/2507.14181
- Federico Mason, Tommaso Zugno, Matteo Drago, Marco Giordani, Mate Boban, and Michele Zorzi, 15 Jul 2025, PRATA: A Framework to Enable Predictive QoS in Vehicular Networks via Artificial Intelligence, https://arxiv.org/abs/2507.14211
- Craig S Wright, 16 Jul 2025, Cognitive Castes: Artificial Intelligence, Epistemic Stratification, and the Dissolution of Democratic Discourse, https://arxiv.org/abs/2507.14218
- Shayan Rokhva, Babak Teimourpour, 19 Jul 2025, Artificial Intelligence in the Food Industry: Food Waste Estimation based on Computer Vision, a Brief Case Study in a University Dining Hall, https://arxiv.org/abs/2507.14662
- Yiming Li, Shuo Shao, Yu He, Junfeng Guo, Tianwei Zhang, Zhan Qin, Pin-Yu Chen, Michael Backes, Philip Torr, Dacheng Tao, Kui Ren, 19 Jul 2025, Rethinking Data Protection in the (Generative) Artificial Intelligence Era, https://arxiv.org/abs/2507.03034
- Chengshuai Zhao, Zhen Tan, Pingchuan Ma, Dawei Li, Bohan Jiang, Yancheng Wang, Yingzhen Yang, Huan Liu, 13 Aug 2025 (v3), Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens, https://arxiv.org/abs/2508.01191
- Haifeng Li, Wang Guo, Haiyang Wu, Mengwei Wu, Jipeng Zhang, Qing Zhu, Yu Liu, Xin Huang, Chao Tao, 9 Aug 2025, Remote Sensing Image Intelligent Interpretation with the Language-Centered Perspective: Principles, Methods and Challenges, https://arxiv.org/abs/2508.06832
- Aswin Paul, Moein Khajehnejad, Forough Habibollahi, Brett J. Kagan, Adeel Razi, 9 Aug 2025, Simulating Biological Intelligence: Active Inference with Experiment-Informed Generative Model, https://arxiv.org/abs/2508.06980
- Yi Tang, Kaini Wang, Yang Chen, Guangquan Zhou, 10 Aug 2025, EndoAgent: A Memory-Guided Reflective Agent for Intelligent Endoscopic Vision-to-Decision Reasoning, https://arxiv.org/abs/2508.07292
- Mubaris Nadeem, Johannes Zenkert, Lisa Bender, Christian Weber, Madjid Fathi, 11 Aug 2025, KIRETT: Knowledge-Graph-Based Smart Treatment Assistant for Intelligent Rescue Operations, https://arxiv.org/abs/2508.07834
- Rachel K. Luu and Jingyu Deng and Mohammed Shahrudin Ibrahim and Nam-Joon Cho and Ming Dao and Subra Suresh and Markus J. Buehler, 8 Aug 2025, Generative Artificial Intelligence Extracts Structure-Function Relationships from Plants for New Materials, https://arxiv.org/abs/2508.06591
- Hyeonuk Nam, 11 Aug 2025, Auditory Intelligence: Understanding the World Through Sound, https://arxiv.org/abs/2508.07829
- Yuyang Zhou, Guang Cheng, Kang Du, Zihan Chen, Yuyu Zhao, 11 Aug 2025, Toward Intelligent and Secure Cloud: Large Language Model Empowered Proactive Defense, https://arxiv.org/abs/2412.21051
- Manish Verma, Vivek Sharma, Vishal Singh, 27 Jul 2025, Artificial Intelligence In Patent And Market Intelligence: A New Paradigm For Technology Scouting, https://arxiv.org/abs/2507.20322
- Huan-ang Gao, Jiayi Geng, Wenyue Hua, Mengkang Hu, Xinzhe Juan, Hongzhang Liu, Shilong Liu, Jiahao Qiu, Xuan Qi, Yiran Wu, Hongru Wang, Han Xiao, Yuhang Zhou, Shaokun Zhang, Jiayi Zhang, Jinyu Xiang, Yixiong Fang, Qiwen Zhao, Dongrui Liu, Qihan Ren, Cheng Qian, Zhenghailong Wang, Minda Hu, Huazheng Wang, Qingyun Wu, Heng Ji, Mengdi Wang, 28 Jul 2025, A Survey of Self-Evolving Agents: On Path to Artificial Super Intelligence, https://arxiv.org/abs/2507.21046
- Obumneme Nwafor and Mohammed Abdul Majeed Al Hooti, 21 Jul 2025, Machine Learning Risk Intelligence for Green Hydrogen Investment: Insights for Duqm R3 Auction, https://arxiv.org/abs/2507.19529
- Jianping Yao, Son N. Tran, Hieu Nguyen, Samantha Sawyer, and Rocco Longo, 27 Jul 2025, Wine Characterisation with Spectral Information and Predictive Artificial Intelligence, https://arxiv.org/abs/2507.20114
- Kimi Team: Yifan Bai, Yiping Bao, Guanduo Chen, Jiahao Chen, Ningxin Chen, Ruijue Chen, Yanru Chen, Yuankun Chen, Yutian Chen, Zhuofu Chen, Jialei Cui, Hao Ding, Mengnan Dong, Angang Du, Chenzhuang Du, Dikang Du, Yulun Du, Yu Fan, Yichen Feng, Kelin Fu, Bofei Gao, Hongcheng Gao, Peizhong Gao, Tong Gao, Xinran Gu, Longyu Guan, Haiqing Guo, Jianhang Guo, Hao Hu, Xiaoru Hao, Tianhong He, Weiran He, Wenyang He, Chao Hong, Yangyang Hu, Zhenxing Hu, Weixiao Huang, Zhiqi Huang, Zihao Huang, Tao Jiang, Zhejun Jiang, Xinyi Jin, Yongsheng Kang, Guokun Lai, Cheng Li, Fang Li, Haoyang Li, Ming Li, Wentao Li, Yanhao Li, Yiwei Li, Zhaowei Li, Zheming Li, Hongzhan Lin, Xiaohan Lin, Zongyu Lin, Chengyin Liu, Chenyu Liu, Hongzhang Liu, Jingyuan Liu, Junqi Liu, Liang Liu, Shaowei Liu, T.Y. Liu, Tianwei Liu, et al. (103 additional authors not shown), 28 Jul 2025, Kimi K2: Open Agentic Intelligence, https://arxiv.org/abs/2507.20534
- Matin Aghaei, Mohammad Ali Alomrani, Yingxue Zhang, Mahdi Biparva, 26 Jul 2025, When Engineering Outruns Intelligence: A Re-evaluation of Instruction-Guided Navigation, https://arxiv.org/abs/2507.20021
- Marta Sidorkiewicz, Karolina Kr\'olikowska, Berenika Dyczek, Edyta Pijet-Migon, Anna Dubel, 2 Jul 2025, Artificial intelligence for sustainable wine industry: AI-driven management in viticulture, wine production and enotourism, https://arxiv.org/abs/2507.21098
- Jae Wan Shim, 21 Jul 2025, Measuring and Analyzing Intelligence via Contextual Uncertainty in Large Language Models using Information-Theoretic Metrics, https://arxiv.org/abs/2507.21129
- Ashley Rector, Keaton Minor, Kamden Minor, Jeff McCormack, Beth Breeden, Ryan Nowers, Jay Dorris, 29 Jul 2025, Validating Pharmacogenomics Generative Artificial Intelligence Query Prompts Using Retrieval-Augmented Generation (RAG), https://arxiv.org/abs/2507.21453
- Bin Liu, 29 Jul 2025, Exploring the Link Between Bayesian Inference and Embodied Intelligence: Toward Open Physical-World Embodied AI Systems, https://arxiv.org/abs/2507.21589
- Andrew Kiruluta, Andreas Lemos, and Priscilla Burity, 27 Jul 2025, Operator-Based Machine Intelligence: A Hilbert Space Framework for Spectral Learning and Symbolic Reasoning, https://arxiv.org/abs/2507.21189
- Abir Ray, 28 Jul 2025, EdgeAgentX-DT: Integrating Digital Twins and Generative AI for Resilient Edge Intelligence in Tactical Networks, https://arxiv.org/abs/2507.21196
- Leonard Dung and Max Hellrigel-Holderbaum, 29 Jul 2025, Against racing to AGI: Cooperation, deterrence, and catastrophic risks, https://arxiv.org/abs/2507.21839
- Maximilian Ferle, Jonas Ader, Thomas Wiemers, Nora Grieb, Adrian Lindenmeyer, Hans-Jonas Meyer, Thomas Neumuth, Markus Kreuz, Kristin Reiche, Maximilian Merz, 29 Jul 2025, Unsupervised risk factor identification across cancer types and data modalities via explainable artificial intelligence, https://arxiv.org/abs/2506.12944
- Hubert Baniecki and Przemyslaw Biecek, 28 Jul 2025, Adversarial attacks and defenses in explainable artificial intelligence: A survey, https://arxiv.org/abs/2306.06123
- Huizi Yu, Jiayan Zhou, Lingyao Li, Shan Chen, Jack Gallifant, Anye Shi, Xiang Li, Jingxian He, Wenyue Hua, Mingyu Jin, Guang Chen, Yang Zhou, Zhao Li, Trisha Gupte, Ming-Li Chen, Zahra Azizi, Yongfeng Zhang, Yanqiu Xing, Themistocles L. Danielle S. Bitterman, Themistocles L. Assimes, Xin Ma, Lin Lu, Lizhou Fan, 29 Jul 2025, Simulated patient systems are intelligent when powered by large language model-based AI agents, https://arxiv.org/abs/2409.18924
- Kees van Deemter, 29 Jul 2025, My Life in Artificial Intelligence: People, anecdotes, and some lessons learnt, https://arxiv.org/abs/2504.04142
- Arushi Goel and Sreyan Ghosh and Jaehyeon Kim and Sonal Kumar and Zhifeng Kong and Sang-gil Lee and Chao-Han Huck Yang and Ramani Duraiswami and Dinesh Manocha and Rafael Valle and Bryan Catanzaro, 28 Jul 2025, Audio Flamingo 3: Advancing Audio Intelligence with Fully Open Large Audio Language Models, https://arxiv.org/abs/2507.08128
- Olga Vershinina, Jacopo Sabbatinelli, Anna Rita Bonfigli, Dalila Colombaretti, Angelica Giuliani, Mikhail Krivonosov, Arseniy Trukhanov, Claudio Franceschi, Mikhail Ivanchenko, Fabiola Olivieri, 31 Jul 2025, Explainable artificial intelligence model predicting the risk of all-cause mortality in patients with type 2 diabetes mellitus, https://arxiv.org/abs/2507.23491
- Kathleen Mealey, Jonathan A. Karr Jr., Priscila Saboia Moreira, Paul R. Brenner, Charles F. Vardeman II, 24 Jul 2025, Trusted Knowledge Extraction for Operations and Maintenance Intelligence, https://arxiv.org/abs/2507.22935
- Shaofei Cai, Zhancun Mu, Haiwen Xia, Bowei Zhang, Anji Liu, Yitao Liang, 31 Jul 2025, Scalable Multi-Task Reinforcement Learning for Generalizable Spatial Intelligence in Visuomotor Agents, https://arxiv.org/abs/2507.23698
- Hanwen Zhang, Ruichen Zhang, Wei Zhang, Dusit Niyato, Yonggang Wen, Chunyan Miao, 31 Jul 2025, Advancing Generative Artificial Intelligence and Large Language Models for Demand Side Management with Internet of Electric Vehicles, https://arxiv.org/abs/2501.15544
- Chunan Tong, 31 Jul 2025, An Efficient Intelligent Semi-Automated Warehouse Inventory Stocktaking System, https://arxiv.org/abs/2309.12365
- Jirui Yang, Zheyu Lin, Zhihui Lu, Yinggui Wang, Lei Wang, Tao Wei, Xin Du, Shuhan Yang, 31 Jul 2025, CEE: An Inference-Time Jailbreak Defense for Embodied Intelligence via Subspace Concept Rotation, https://arxiv.org/abs/2504.13201
- Matthieu Queloz, 29 Jul 2025, Explainability Through Systematicity: The Hard Systematicity Challenge for Artificial Intelligence, https://arxiv.org/abs/2507.22197
- Matej \v{S}progar, 30 Jul 2025, AGITB: A Signal-Level Benchmark for Evaluating Artificial General Intelligence, https://arxiv.org/abs/2504.04430
- Yining Hong, Rui Sun, Bingxuan Li, Xingcheng Yao, Maxine Wu, Alexander Chien, Da Yin, Ying Nian Wu, Zhecan James Wang, Kai-Wei Chang, 29 Jul 2025, Embodied Web Agents: Bridging Physical-Digital Realms for Integrated Agent Intelligence, https://arxiv.org/abs/2506.15677
- Marc Schmitt, 30 Jul 2025, Strategic Integration of Artificial Intelligence in the C-Suite: The Role of the Chief AI Officer, https://arxiv.org/abs/2407.10247
- Wil M.P. van der Aalst, 31 Jul 2025, No AI Without PI! Object-Centric Process Mining as the Enabler for Generative, Predictive, and Prescriptive Artificial Intelligence, https://arxiv.org/abs/2508.00116
- Mohit Gupta, Debjit Bhowmick, Rhys Newbury, Meead Saberi, Shirui Pan and Ben Beck, 31 Jul 2025, INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks, https://arxiv.org/abs/2508.00141
- Guilherme Guerino and Luiz Rodrigues and Luana Bianchiniand Mariana Alves and Marcelo Marinho and Thomaz Veloso and Valmir Macario and Diego Dermeval and Thales Vieira and Ig Bittencourt and Seiji Isotani, 31 Jul 2025, A Mixed User-Centered Approach to Enable Augmented Intelligence in Intelligent Tutoring Systems: The Case of MathAIde app, https://arxiv.org/abs/2508.00103
- Rajpreet Singh, Vidhi Kothari, 1 Aug 2025, Composable OS Kernel Architectures for Autonomous Intelligence, https://arxiv.org/abs/2508.00604
- S. V. Chekanov and H. Kjellerstrand, 1 Aug 2025, Discovering the underlying analytic structure within Standard Model constants using artificial intelligence, https://arxiv.org/abs/2507.00225
- Christopher Wissuchek, Patrick Zschech, 7 Jul 2025, Exploring Agentic Artificial Intelligence Systems: Towards a Typological Framework, https://arxiv.org/abs/2508.00844
- Boheng Liu and Ziyu Li and Xia Wu, 4 Aug 2025, Neuromorphic Computing with Multi-Frequency Oscillations: A Bio-Inspired Approach to Artificial Intelligence, https://arxiv.org/abs/2508.02191
- Zhuo Yang, Jiaqing Xie, Shuaike Shen, Daolang Wang, Yeyun Chen, Ben Gao, Shuzhou Sun, Biqing Qi, Dongzhan Zhou, Lei Bai, Linjiang Chen, Shufei Zhang, Jun Jiang, Tianfan Fu, Yuqiang Li, 2 Aug 2025, SpectrumWorld: Artificial Intelligence Foundation for Spectroscopy, https://arxiv.org/abs/2508.01188
- Md Zahidul Islam, Md Shafiqur Rahman, Md Sumsuzoha, Babul Sarker, Md Rafiqul Islam, Mahfuz Alam and Sanjib Kumar Shil, 2 Aug 2025, Cryptocurrency Price Forecasting Using Machine Learning: Building Intelligent Financial Prediction Models, https://arxiv.org/abs/2508.01419
- Sangjun Park, Tony Q.S. Quek, Hyowoon Seo, 4 Aug 2025, Pigeon-SL: Robust Split Learning Framework for Edge Intelligence under Malicious Clients, https://arxiv.org/abs/2508.02235
- Songlin Xu, Xinyu Zhang, 9 Jul 2025, Cognitive Exoskeleton: Augmenting Human Cognition with an AI-Mediated Intelligent Visual Feedback, https://arxiv.org/abs/2508.00846
- Bang Liu, Xinfeng Li, Jiayi Zhang, Jinlin Wang, Tanjin He, Sirui Hong, Hongzhang Liu, Shaokun Zhang, Kaitao Song, Kunlun Zhu, Yuheng Cheng, Suyuchen Wang, Xiaoqiang Wang, Yuyu Luo, Haibo Jin, Peiyan Zhang, Ollie Liu, Jiaqi Chen, Huan Zhang, Zhaoyang Yu, Haochen Shi, Boyan Li, Dekun Wu, Fengwei Teng, Xiaojun Jia, Jiawei Xu, Jinyu Xiang, Yizhang Lin, Tianming Liu, Tongliang Liu, Yu Su, Huan Sun, Glen Berseth, Jianyun Nie, Ian Foster, Logan Ward, Qingyun Wu, Yu Gu, Mingchen Zhuge, Xinbing Liang, Xiangru Tang, Haohan Wang, Jiaxuan You, Chi Wang, Jian Pei, Qiang Yang, Xiaoliang Qi, Chenglin Wu, 2 Aug 2025, Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems, https://arxiv.org/abs/2504.01990
- Andrew G. Breithaupt, Michael Weiner, Alice Tang, Katherine L. Possin, Marina Sirota, James Lah, Allan I. Levey, Pascal Van Hentenryck, Reza Zandehshahvar, Marilu Luisa Gorno-Tempini, Joseph Giorgio, Jingshen Wang, Andreas M. Rauschecker, Howard J. Rosen, Rachel L. Nosheny, Bruce L. Miller, Pedro Pinheiro-Chagas, 1 Aug 2025, Integrating Generative Artificial Intelligence in ADRD: A Roadmap for Streamlining Diagnosis and Care in Neurodegenerative Diseases, https://arxiv.org/abs/2502.06842
- Haris Khan, Shumaila Asif, Hassan Nasir, Kamran Aziz Bhatti, Shahzad Amin Sheikh, 1 Aug 2025, Advances in Intelligent Hearing Aids: Deep Learning Approaches to Selective Noise Cancellation, https://arxiv.org/abs/2507.07043
- AgiBot-World-Contributors, Qingwen Bu, Jisong Cai, Li Chen, Xiuqi Cui, Yan Ding, Siyuan Feng, Shenyuan Gao, Xindong He, Xuan Hu, Xu Huang, Shu Jiang, Yuxin Jiang, Cheng Jing, Hongyang Li, Jialu Li, Chiming Liu, Yi Liu, Yuxiang Lu, Jianlan Luo, Ping Luo, Yao Mu, Yuehan Niu, Yixuan Pan, Jiangmiao Pang, Yu Qiao, Guanghui Ren, Cheng Ruan, Jiaqi Shan, Yongjian Shen, Chengshi Shi, Mingkang Shi, Modi Shi, Chonghao Sima, Jianheng Song, Huijie Wang, Wenhao Wang, Dafeng Wei, Chengen Xie, Guo Xu, Junchi Yan, Cunbiao Yang, Lei Yang, Shukai Yang, Maoqing Yao, Jia Zeng, Chi Zhang, Qinglin Zhang, Bin Zhao, Chengyue Zhao, Jiaqi Zhao, Jianchao Zhu, 4 Aug 2025, AgiBot World Colosseo: A Large-scale Manipulation Platform for Scalable and Intelligent Embodied Systems, https://arxiv.org/abs/2503.06669
- Xingdan Wang, Jiayi He, Zhiqing Tang, Jianxiong Guo, Jiong Lou, Liping Qian, Tian Wang, Weijia Jia, 5 Aug 2025, Adaptive AI Agent Placement and Migration in Edge Intelligence Systems, https://arxiv.org/abs/2508.03345
- Davide Gabrielli, Bardh Prenkaj, Paola Velardi, Stefano Faralli, 5 Aug 2025, AI on the Pulse: Real-Time Health Anomaly Detection with Wearable and Ambient Intelligence, https://arxiv.org/abs/2508.03436
- Albertus Denny Handoko and Riko I Made, 5 Aug 2025, Artificial Intelligence and Generative Models for Materials Discovery -- A Review, https://arxiv.org/abs/2508.03278
- Siddhant Deshpande, Yalemzerf Getnet, Waltenegus Dargie, 4 Aug 2025, Detection of Intelligent Tampering in Wireless Electrocardiogram Signals Using Hybrid Machine Learning, https://arxiv.org/abs/2507.06402
- Qiguang Chen, Mingda Yang, Libo Qin, Jinhao Liu, Zheng Yan, Jiannan Guan, Dengyun Peng, Yiyan Ji, Hanjing Li, Mengkang Hu, Yimeng Zhang, Yihao Liang, Yuhang Zhou, Jiaqi Wang, Zhi Chen, Wanxiang Che, 5 Aug 2025, AI4Research: A Survey of Artificial Intelligence for Scientific Research, https://arxiv.org/abs/2507.01903
- Charles L. Wang, Trisha Singhal, Ameya Kelkar, Jason Tuo, 5 Aug 2025, MI9 -- Agent Intelligence Protocol: Runtime Governance for Agentic AI Systems, https://arxiv.org/abs/2508.03858
- Wesley Brewer, Murali Meena Gopalakrishnan, Matthias Maiterth, Aditya Kashi, Jong Youl Choi, Pei Zhang, Stephen Nichols, Riccardo Balin, Miles Couchman, Stephen de Bruyn Kops, P.K. Yeung, Daniel Dotson, Rohini Uma-Vaideswaran, Sarp Oral, Feiyi Wang, 5 Aug 2025, Intelligent Sampling of Extreme-Scale Turbulence Datasets for Accurate and Efficient Spatiotemporal Model Training, https://arxiv.org/abs/2508.03872
- Anna Romanova, 5 Aug 2025, Development of management systems using artificial intelligence systems and machine learning methods for boards of directors (preprint, unofficial translation), https://arxiv.org/abs/2508.03769
- Fardis Nadimi, Payam Abdisarabshali, Kasra Borazjani, Jacob Chakareski, Seyyedali Hosseinalipour, 5 Aug 2025, Multi-Modal Multi-Task Federated Foundation Models for Next-Generation Extended Reality Systems: Towards Privacy-Preserving Distributed Intelligence in AR/VR/MR, https://arxiv.org/abs/2506.05683
- Nan Li, Wanting Yang, Marie Siew, Zehui Xiong, Binbin Chen, Shiwen Mao, Kwok-Yan Lam, 6 Aug 2025, Edge-Assisted Collaborative Fine-Tuning for Multi-User Personalized Artificial Intelligence Generated Content (AIGC), https://arxiv.org/abs/2508.04745
- Zhaowei Wang and Yunsong Huang and Weicheng Liu and Hui-Ming Wang, 7 Aug 2025, Anti-Jamming Sensing with Distributed Reconfigurable Intelligent Metasurface Antennas, https://arxiv.org/abs/2508.04964
- Bo Wen, 7 Aug 2025, A Framework for Inherently Safer AGI through Language-Mediated Active Inference, https://arxiv.org/abs/2508.05766
- Christian Meske, Justin Brenne, Erdi Uenal, Sabahat Oelcer and Ayseguel Doganguen, 8 Aug 2025, From Explainable to Explanatory Artificial Intelligence: Toward a New Paradigm for Human-Centered Explanations through Generative AI, https://arxiv.org/abs/2508.06352
- Xiangzhe Xu, Shiwei Feng, Zian Su, Chengpeng Wang, Xiangyu Zhang, 8 Aug 2025, Position: Intelligent Coding Systems Should Write Programs with Justifications, https://arxiv.org/abs/2508.06017
- Mojtaba Valipour, Kelly Zheng, James Lowman, Spencer Szabados, Mike Gartner, and Bobby Braswell, 8 Aug 2025, AGI for the Earth, the path, possibilities and how to evaluate intelligence of models that work with Earth Observation Data?, https://arxiv.org/abs/2508.06057
- Ruben Laukkonen, Fionn Inglis, Shamil Chandaria, Lars Sandved-Smith, Edmundo Lopez-Sola, Jakob Hohwy, Jonathan Gold, Adam Elwood, 8 Aug 2025, Contemplative Artificial Intelligence, https://arxiv.org/abs/2504.15125
- Ahmed Tlili, 9 Aug 2025, Between Fear and Desire, the Monster Artificial Intelligence (AI): Analysis through the Lenses of Monster Theory, https://arxiv.org/abs/2508.08318
- Sejin Kim, Sundong Kim, 12 Aug 2025, System~2 Reasoning for Human--AI Alignment: Generality and Adaptivity via ARC-AGI, https://arxiv.org/abs/2410.07866
- Ratun Rahman, 12 Aug 2025, Federated Learning: A Survey on Privacy-Preserving Collaborative Intelligence, https://arxiv.org/abs/2504.17703
- Jared Edward Reser, 11 Aug 2025, Artificial Intelligence Software Structured to Simulate Human Working Memory, Mental Imagery, and Mental Continuity, https://arxiv.org/abs/2204.05138
- Jing Liu, Yao Du, Kun Yang, Jiaqi Wu, Yan Wang, Xiping Hu, Zehua Wang, Yang Liu, Peng Sun, Azzedine Boukerche, Victor C.M. Leung, 12 Aug 2025, Edge-Cloud Collaborative Computing on Distributed Intelligence and Model Optimization: A Survey, https://arxiv.org/abs/2505.01821
- Sundong Kim, 12 Aug 2025, The Othello AI Arena: Evaluating Intelligent Systems Through Limited-Time Adaptation to Unseen Boards, https://arxiv.org/abs/2508.09292
- Meiping Wang, Jian Zhong, Rongduo Han, Liming Kang, Zhengkun Shi, Xiao Liang, Xing Lin, Nan Gao, Haining Zhang, 13 Aug 2025, An Automated Multi-Modal Evaluation Framework for Mobile Intelligent Assistants, https://arxiv.org/abs/2508.09507
- Manuel Herrador, 13 Aug 2025, The PacifAIst Benchmark:Would an Artificial Intelligence Choose to Sacrifice Itself for Human Safety?, https://arxiv.org/abs/2508.09762
- Changyuan Zhao, Guangyuan Liu, Ruichen Zhang, Yinqiu Liu, Jiacheng Wang, Jiawen Kang, Dusit Niyato, Zan Li, Xuemin (Sherman) Shen, Zhu Han, Sumei Sun, Chau Yuen, Dong In Kim, 13 Aug 2025, Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges, https://arxiv.org/abs/2508.09561
- Xuanru Zhou, Cheng Li, Shuqiang Wang, Ye Li, Tao Tan, Hairong Zheng, and Shanshan Wang, 7 Aug 2025, Generative Artificial Intelligence in Medical Imaging: Foundations, Progress, and Clinical Translation, https://arxiv.org/abs/2508.09177
- Abdolazim Rezaei, Mehdi Sookhak, Mahboobeh Haghparast, 7 Aug 2025, RL-MoE: An Image-Based Privacy Preserving Approach In Intelligent Transportation System, https://arxiv.org/abs/2508.09186
- Fan Zhang, Zebang Cheng, Chong Deng, Haoxuan Li, Zheng Lian, Qian Chen, Huadai Liu, Wen Wang, Yi-Fan Zhang, Renrui Zhang, Ziyu Guo, Zhihong Zhu, Hao Wu, Haixin Wang, Yefeng Zheng, Xiaojiang Peng, Xian Wu, Kun Wang, Xiangang Li, Jieping Ye, Pheng-Ann Heng, 11 Aug 2025, MME-Emotion: A Holistic Evaluation Benchmark for Emotional Intelligence in Multimodal Large Language Models, https://arxiv.org/abs/2508.09210
- Ronald Carvalho Boadana, Ademir Guimar\~aes da Costa Junior, Ricardo Rios, F\'abio Santos da Silva, 7 Aug 2025, LLM-Based Intelligent Agents for Music Recommendation: A Comparison with Classical Content-Based Filtering, https://arxiv.org/abs/2508.11671
- Vincent C. M\"uller and Nick Bostrom, 9 Aug 2025, Future progress in artificial intelligence: A survey of expert opinion, https://arxiv.org/abs/2508.11681
- Kiruthika Balakrishnan, Durgadevi Velusamy, Hana E. Hinkle, Zhi Li, Karthikeyan Ramasamy, Hikmat Khan, Srini Ramaswamy, and Pir Masoom Shah, 15 Aug 2025, Artificial Intelligence in Rural Healthcare Delivery: Bridging Gaps and Enhancing Equity through Innovation, https://arxiv.org/abs/2508.11738
- E. Ulises Moya-S\'anchez, Abraham S\'anchez-Perez, Ra\'ul Nanclares Da Veiga, Alejandro Zarate-Mac\'ias, Edgar Villareal, Alejandro S\'anchez-Montes, Edtna Jauregui-Ulloa, H\'ector Moreno and Ulises Cort\'es, 17 Aug 2025, Design and Validation of a Responsible Artificial Intelligence-based System for the Referral of Diabetic Retinopathy Patients, https://arxiv.org/abs/2508.12506
- Zhongang Cai, Yubo Wang, Qingping Sun, Ruisi Wang, Chenyang Gu, Wanqi Yin, Zhiqian Lin, Zhitao Yang, Chen Wei, Xuanke Shi, Kewang Deng, Xiaoyang Han, Zukai Chen, Jiaqi Li, Xiangyu Fan, Hanming Deng, Lewei Lu, Bo Li, Ziwei Liu, Quan Wang, Dahua Lin, Lei Yang, 18 Aug 2025, Has GPT-5 Achieved Spatial Intelligence? An Empirical Study, https://arxiv.org/abs/2508.13142
- Ruitao Chen, Mozhang Guo, Jinge Li, 17 Aug 2025, Towards Infant Sleep-Optimized Driving: Synergizing Wearable and Vehicle Sensing in Intelligent Cruise Control, https://arxiv.org/abs/2506.06459
- Aleksandr Algazinov, Joydeep Chandra, and Matt Laing, 18 Aug 2025, INSIGHT: A Survey of In-Network Systems for Intelligent, High-Efficiency AI and Topology Optimization, https://arxiv.org/abs/2505.24269
- Xiao-Wen Yang, Jie-Jing Shao, Lan-Zhe Guo, Bo-Wen Zhang, Zhi Zhou, Lin-Han Jia, Wang-Zhou Dai and Yu-Feng Li, 19 Aug 2025, Neuro-Symbolic Artificial Intelligence: Towards Improving the Reasoning Abilities of Large Language Models, https://arxiv.org/abs/2508.13678
- Soumyadeep Dhar, 19 Aug 2025, The Collaboration Paradox: Why Generative AI Requires Both Strategic Intelligence and Operational Stability in Supply Chain Management, https://arxiv.org/abs/2508.13942
- Mahmoud Nazzal, Khoa Nguyen, Deepak Vungarala, Ramtin Zand, Shaahin Angizi, Hai Phan, Abdallah Khreishah, 23 Jul 2025, FedChip: Federated LLM for Artificial Intelligence Accelerator Chip Design, https://arxiv.org/abs/2508.13162
- Hunter McNichols, Fareya Ikram, Andrew Lan, 19 Aug 2025, The StudyChat Dataset: Student Dialogues With ChatGPT in an Artificial Intelligence Course, https://arxiv.org/abs/2503.07928
- Jesmin Jahan Tithi and Hanjiang Wu and Avishaii Abuhatzera and Fabrizio Petrini, 19 Aug 2025, Scaling Intelligence: Designing Data Centers for Next-Gen Language Models, https://arxiv.org/abs/2506.15006
- Kevin Xu, Risto Miikkulainen, 19 Aug 2025, Neural Cellular Automata for ARC-AGI, https://arxiv.org/abs/2506.15746
- Lian Lian, Yilin Li, Song Han, Renzi Meng, Sibo Wang, Ming Wang, 20 Aug 2025, Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services, https://arxiv.org/abs/2508.14503
- Md Mainul Abrar, Xun Jia, Yujie Chi, 19 Aug 2025, New Insights into Automatic Treatment Planning for Cancer Radiotherapy Using Explainable Artificial Intelligence, https://arxiv.org/abs/2508.14229
- Sabab Aosaf, Muhammad Ali Nayeem, Afsana Haque, M Sohel Rahmana, 21 Aug 2025, Computational Intelligence based Land-use Allocation Approaches for Mixed Use Areas, https://arxiv.org/abs/2508.15240
- Johannes Schleiss and Anke Manukjan and Michelle Ines Bieber and Sebastian Lang and Sebastian Stober, 18 Aug 2025, Designing an Interdisciplinary Artificial Intelligence Curriculum for Engineering: Evaluation and Insights from Experts, https://arxiv.org/abs/2508.14921
- John E. Hummel and Rachel F. Heaton, 20 Aug 2025, From Basic Affordances to Symbolic Thought: A Computational Phylogenesis of Biological Intelligence, https://arxiv.org/abs/2508.15082
- Ben Dickson, August 19, 2025, LLMs generate ‘fluent nonsense’ when reasoning outside their training zone, https://venturebeat.com/ai/llms-generate-fluent-nonsense-when-reasoning-outside-their-training-zone/
- Zhifeng Yang, Peizong Wu, 17 Aug 2025, Research on intelligent generation of structural demolition suggestions based on multi-model collaboration, https://arxiv.org/abs/2508.15820
- Aparna Singh, Geetanjali Rathee, Chaker Abdelaziz Kerrache, Mohamed Chahine Ghanem, 22 Aug 2025, A Relay-Chain-Powered Ciphertext-Policy Attribute-Based Encryption in Intelligent Transportation Systems, https://arxiv.org/abs/2508.16189
- Yang Deng, Zifeng Ren, An Zhang, Tat-Seng Chua, 22 Aug 2025, Towards Goal-oriented Intelligent Tutoring Systems in Online Education, https://arxiv.org/abs/2312.10053
- Shouwei Ruan, Liyuan Wang, Caixin Kang, Qihui Zhu, Songming Liu, Xingxing Wei and Hang Su, 24 Aug 2025, From reactive to cognitive: brain-inspired spatial intelligence for embodied agents, https://arxiv.org/abs/2508.17198
- R\'enald Gesnot, 15 Aug 2025, The Impact of Artificial Intelligence on Human Thought, https://arxiv.org/abs/2508.16628
- Hongrak Pak, Ali Mostafavi, 21 Aug 2025, Situational Awareness as the Imperative Capability for Disaster Resilience in the Era of Complex Hazards and Artificial Intelligence, https://arxiv.org/abs/2508.16669
- Jussi S. Jauhiainen, Aurora Toppari, 22 Aug 2025, Generative Artificial Intelligence and Agents in Research and Teaching, https://arxiv.org/abs/2508.16701
- Anton Ludwig Bonin, Pawel Robert Smolinski, Jacek Winiarski, 22 Aug 2025, Exploring the Impact of Generative Artificial Intelligence on Software Development in the IT Sector: Preliminary Findings on Productivity, Efficiency and Job Security, https://arxiv.org/abs/2508.16811
- Zixuan Dong, Baoyun Peng, Yufei Wang, Lin Liu, Xinxin Dong, Yunlong Cao, Xiaodong Wang, 25 Aug 2025, See What You Need: Query-Aware Visual Intelligence through Reasoning-Perception Loops, https://arxiv.org/abs/2508.17932
- Kaushik Ravi, Andreas Br\"uck, 25 Aug 2025, Citizen Centered Climate Intelligence: Operationalizing Open Tree Data for Urban Cooling and Eco-Routing in Indian Cities, https://arxiv.org/abs/2508.17648
- Yajing Yang, Qian Liu, Min-Yen Kan, 23 Aug 2025, DataTales: A Benchmark for Real-World Intelligent Data Narration, https://arxiv.org/abs/2410.17859
- Christopher J. Mungall and Adnan Malik and Daniel R. Korn and Justin T. Reese and Noel M. O'Boyle, Noel and Janna Hastings, 24 Aug 2025, Chemical classification program synthesis using generative artificial intelligence, https://arxiv.org/abs/2505.18470
- Maryam Ahang, Todd Charter, Mostafa Abbasi, Maziyar Khadivi, Oluwaseyi Ogunfowora, Homayoun Najjaran, 22 Aug 2025, Intelligent Condition Monitoring of Industrial Plants: An Overview of Methodologies and Uncertainty Management Strategies, https://arxiv.org/abs/2401.10266
- He Hu, Yucheng Zhou, Lianzhong You, Hongbo Xu, Qianning Wang, Zheng Lian, Fei Richard Yu, Fei Ma, Laizhong Cui, 25 Aug 2025, EmoBench-M: Benchmarking Emotional Intelligence for Multimodal Large Language Models, https://arxiv.org/abs/2502.04424
Advanced Superintelligence (ASI)
- Ethan Mollick, May 12, 2024, Superhuman? What does it mean for AI to be better than a human? And how can we tell? https://www.oneusefulthing.org/p/superhuman
- Samantha Kelly, Sept. 29, 2024, 'Superintelligent' AI Is Only a Few Thousand Days Away: OpenAI CEO Sam Altman, https://www.cnet.com/tech/services-and-software/superintelligent-ai-is-only-a-few-thousand-days-away-openai-ceo-sam-altman/
- Mohit Sewak, Ph.D., January 29, 2025, Achieving General Intelligence (AGI) and Super Intelligence (ASI): Pathways, Uncertainties, and Ethical Concerns, https://towardsai.net/p/l/achieving-general-intelligence-agi-and-super-intelligence-asi-pathways-uncertainties-and-ethical-concerns
- Arjun Kharpal, Feb 6 2025, ‘Dangerous proposition’: Top scientists warn of out-of-control AI, https://www.cnbc.com/2025/02/07/dangerous-proposition-top-scientists-warn-of-out-of-control-ai.html
- Webb Wright, July 1, 2025, Meta's new AI lab aims to deliver 'personal superintelligence for everyone' - whatever that means, https://www.zdnet.com/article/metas-new-ai-lab-aims-to-deliver-personal-superintelligence-for-everyone-whatever-that-means/
- Meta, July 2025, Personal Superintelligence, https://www.meta.com/superintelligence/
- Tiernan Ray, Aug. 13, 2025, Why GPT-5's rocky rollout is the reality check we needed on superintelligence hype: A year after Altman said superintelligence was imminent, GPT-5 is all we get? https://www.zdnet.com/article/why-gpt-5s-rocky-rollout-is-the-reality-check-we-needed-on-superintelligence-hype/
- Bhishma Dedhia, Yuval Kansal, Niraj K. Jha, 18 Jul 2025, Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need, https://arxiv.org/abs/2507.13966
- Djallel Bouneffouf, Matthew Riemer and Kush Varshney, 21 Jul 2025, The Ultimate Test of Superintelligent AI Agents: Can an AI Balance Care and Control in Asymmetric Relationships?, https://arxiv.org/abs/2506.01813
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