Decentralised AI: Full of promise, but not without challengesAI Newson August 27, 2025 at 10:24 am Decentralised artificial intelligence has been hailed as one of the most profound innovations of our time, promising to give users control of the most transformative technologies. Yet the industry faces some daunting challenges if the vision is to be fulfilled. Proponents of decentralisation imagine a world where AI is not controlled by a select few
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Decentralised artificial intelligence has been hailed as one of the most profound innovations of our time, promising to give users control of the most transformative technologies. Yet the industry faces some daunting challenges if the vision is to be fulfilled. Proponents of decentralisation imagine a world where AI is not controlled by a select few
The post Decentralised AI: Full of promise, but not without challenges appeared first on AI News. Read More
Reimagining sound and spaceMIT Technology Reviewon August 26, 2025 at 9:00 pm On a typical afternoon, MIT’s new Edward and Joyce Linde Music Building hums with life. On the fourth floor, a jazz combo works through a set in a rehearsal suite as engineers adjust microphone levels in a nearby control booth. Downstairs, the layered rhythms of Senegalese drumming pulse through a room built to absorb its…
On a typical afternoon, MIT’s new Edward and Joyce Linde Music Building hums with life. On the fourth floor, a jazz combo works through a set in a rehearsal suite as engineers adjust microphone levels in a nearby control booth. Downstairs, the layered rhythms of Senegalese drumming pulse through a room built to absorb its… Read More
Google Vids gets AI avatars and image-to-video toolsAI Newson August 27, 2025 at 2:48 pm Google is rolling out a raft of powerful new generative AI features for Vids designed to take the pain out of video creation. Between wrestling with complicated software, finding someone willing to be on camera, and then spending hours editing out all the “ums” and “ahs,” video production often feels more trouble than it’s worth.
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Google is rolling out a raft of powerful new generative AI features for Vids designed to take the pain out of video creation. Between wrestling with complicated software, finding someone willing to be on camera, and then spending hours editing out all the “ums” and “ahs,” video production often feels more trouble than it’s worth.
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The Download: introducing: the Security issueMIT Technology Reviewon August 27, 2025 at 12:10 pm This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. Introducing: the Security issue It would be naïve to think we are going back to a world without AI. We’re not. But it’s only one of many urgent problems we need to address…
This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. Introducing: the Security issue It would be naïve to think we are going back to a world without AI. We’re not. But it’s only one of many urgent problems we need to address… Read More
AI comes for the job market, security, and prosperity: The DebriefMIT Technology Reviewon August 27, 2025 at 10:00 am When I picked up my daughter from summer camp, we settled in for an eight-hour drive through the Appalachian mountains, heading from North Carolina to her grandparents’ home in Kentucky. With little to no cell service for much of the drive, we enjoyed the rare opportunity to have a long, thoughtful conversation, uninterrupted by devices.…
When I picked up my daughter from summer camp, we settled in for an eight-hour drive through the Appalachian mountains, heading from North Carolina to her grandparents’ home in Kentucky. With little to no cell service for much of the drive, we enjoyed the rare opportunity to have a long, thoughtful conversation, uninterrupted by devices.… Read More
Power with purposeMIT Technology Reviewon August 26, 2025 at 9:00 am Baafour Asiamah-Adjei ’03 is the founder and CEO of one of Ghana’s largest private power companies, Genser Energy—an entrepreneurial engineer who aims to deliver sustainable energy across West Africa. And he credits MIT with much of his success. But when he was applying to colleges, the Institute wasn’t even on his radar. The son of…
Baafour Asiamah-Adjei ’03 is the founder and CEO of one of Ghana’s largest private power companies, Genser Energy—an entrepreneurial engineer who aims to deliver sustainable energy across West Africa. And he credits MIT with much of his success. But when he was applying to colleges, the Institute wasn’t even on his radar. The son of… Read More
Top AI vibe-coding platforms powering Web3 buildsAI Newson August 26, 2025 at 9:26 am Vibe coding is making lots of noise in software development, but perhaps nowhere will its presence be felt more keenly than in the Web3 coding space. Of course, not every AI code generator is cut out for Web3 development. That’s because it’s a niche area that requires deep expertise in blockchain languages and smart contract
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Vibe coding is making lots of noise in software development, but perhaps nowhere will its presence be felt more keenly than in the Web3 coding space. Of course, not every AI code generator is cut out for Web3 development. That’s because it’s a niche area that requires deep expertise in blockchain languages and smart contract
The post Top AI vibe-coding platforms powering Web3 builds appeared first on AI News. Read More
Malaysia launches Ryt Bank, its first AI-powered bankAI Newson August 26, 2025 at 8:15 am AI is steadily changing the way banks work. The technology can sift through massive amounts of data, calculate risks, and handle routine tasks at speeds people can’t match. Now, Malaysia has entered that space with the launch of Ryt Bank, billed as the first AI-powered bank created in the country. The new venture, led by
The post Malaysia launches Ryt Bank, its first AI-powered bank appeared first on AI News.
AI is steadily changing the way banks work. The technology can sift through massive amounts of data, calculate risks, and handle routine tasks at speeds people can’t match. Now, Malaysia has entered that space with the launch of Ryt Bank, billed as the first AI-powered bank created in the country. The new venture, led by
The post Malaysia launches Ryt Bank, its first AI-powered bank appeared first on AI News. Read More
GPG-HT: Generalized Policy Gradient with History-Aware Decision Transformer for Probabilistic Path Planningcs.AI updates on arXiv.orgon August 26, 2025 at 4:00 am arXiv:2508.17218v1 Announce Type: cross
Abstract: With the rapidly increased number of vehicles in urban areas, existing road infrastructure struggles to accommodate modern traffic demands, resulting in the issue of congestion. This highlights the importance of efficient path planning strategies. However, most recent navigation models focus solely on deterministic or time-dependent networks, while overlooking the correlations and the stochastic nature of traffic flows. In this work, we address the reliable shortest path problem within stochastic transportation networks under certain dependencies. We propose a path planning solution that integrates the decision Transformer with the Generalized Policy Gradient (GPG) framework. Based on the decision Transformer’s capability to model long-term dependencies, our proposed solution improves the accuracy and stability of path decisions. Experimental results on the Sioux Falls Network (SFN) demonstrate that our approach outperforms previous baselines in terms of on-time arrival probability, providing more accurate path planning solutions.
arXiv:2508.17218v1 Announce Type: cross
Abstract: With the rapidly increased number of vehicles in urban areas, existing road infrastructure struggles to accommodate modern traffic demands, resulting in the issue of congestion. This highlights the importance of efficient path planning strategies. However, most recent navigation models focus solely on deterministic or time-dependent networks, while overlooking the correlations and the stochastic nature of traffic flows. In this work, we address the reliable shortest path problem within stochastic transportation networks under certain dependencies. We propose a path planning solution that integrates the decision Transformer with the Generalized Policy Gradient (GPG) framework. Based on the decision Transformer’s capability to model long-term dependencies, our proposed solution improves the accuracy and stability of path decisions. Experimental results on the Sioux Falls Network (SFN) demonstrate that our approach outperforms previous baselines in terms of on-time arrival probability, providing more accurate path planning solutions. Read More
Weights-Rotated Preference Optimization for Large Language Modelscs.AI updates on arXiv.orgon August 26, 2025 at 4:00 am arXiv:2508.17637v1 Announce Type: cross
Abstract: Despite the efficacy of Direct Preference Optimization (DPO) in aligning Large Language Models (LLMs), reward hacking remains a pivotal challenge. This issue emerges when LLMs excessively reduce the probability of rejected completions to achieve high rewards, without genuinely meeting their intended goals. As a result, this leads to overly lengthy generation lacking diversity, as well as catastrophic forgetting of knowledge. We investigate the underlying reason behind this issue, which is representation redundancy caused by neuron collapse in the parameter space. Hence, we propose a novel Weights-Rotated Preference Optimization (RoPO) algorithm, which implicitly constrains the output layer logits with the KL divergence inherited from DPO and explicitly constrains the intermediate hidden states by fine-tuning on a multi-granularity orthogonal matrix. This design prevents the policy model from deviating too far from the reference model, thereby retaining the knowledge and expressive capabilities acquired during pre-training and SFT stages. Our RoPO achieves up to a 3.27-point improvement on AlpacaEval 2, and surpasses the best baseline by 6.2 to 7.5 points on MT-Bench with merely 0.015% of the trainable parameters, demonstrating its effectiveness in alleviating the reward hacking problem of DPO.
arXiv:2508.17637v1 Announce Type: cross
Abstract: Despite the efficacy of Direct Preference Optimization (DPO) in aligning Large Language Models (LLMs), reward hacking remains a pivotal challenge. This issue emerges when LLMs excessively reduce the probability of rejected completions to achieve high rewards, without genuinely meeting their intended goals. As a result, this leads to overly lengthy generation lacking diversity, as well as catastrophic forgetting of knowledge. We investigate the underlying reason behind this issue, which is representation redundancy caused by neuron collapse in the parameter space. Hence, we propose a novel Weights-Rotated Preference Optimization (RoPO) algorithm, which implicitly constrains the output layer logits with the KL divergence inherited from DPO and explicitly constrains the intermediate hidden states by fine-tuning on a multi-granularity orthogonal matrix. This design prevents the policy model from deviating too far from the reference model, thereby retaining the knowledge and expressive capabilities acquired during pre-training and SFT stages. Our RoPO achieves up to a 3.27-point improvement on AlpacaEval 2, and surpasses the best baseline by 6.2 to 7.5 points on MT-Bench with merely 0.015% of the trainable parameters, demonstrating its effectiveness in alleviating the reward hacking problem of DPO. Read More