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Aether AI, a San Diego-based startup, raised $20mn in seed funding to develop causal world models that teach machines cause and effect, challenging the industry's focus on scaling larger models. The company targets robot…
EvoClawBench, a new benchmark testing whether AI agents can learn reusable skills from experience, shows mixed results across 100 tasks and 502 sub-problems. Nanobot's GPT-5.4 model consistently exceeded 96% accuracy, bu…
A Deloitte survey of 1,150 parents finds half worry about children over-relying on AI in schools, while over a third say schools fail to teach AI skills. Only 22% of parents report schools have approved AI tools, and 33%…
Researchers reproduced the core mechanisms of two 2025-26 JEPA papers (CrossJEPA and LeJEPA) at toy scale on an M5 MacBook Air, confirming that the self-supervised representation learning methods work as claimed. The val…
Researchers are developing new techniques to enhance metacognitive abilities in large language models, including reinforcement learning with metacognitive feedback (RLMF) and metacognitive data selection. RLMF improves m…
Artificial intelligence is shifting from raw computational power to human-centric alignment, according to an analysis of industry trends. The next era will focus on AI that understands and supports human needs, with impl…
A new Multi-Agent System (MAS) using Large Language Models (LLMs) as coordinators automates telecom network troubleshooting, significantly speeding up issue diagnosis and remediation in both Radio Access Network (RAN) an…
A new method proposes a predictive divergence mask for reinforcement learning in large language models, offering potentially more stable updates than traditional Proximal Policy Optimization (PPO)-style approaches. The a…
A new method called DoLQ uses a multi-agent AI architecture, including a Scientist Agent powered by a large language model, to discover differential equations by combining qualitative and quantitative evaluations. The ap…
Researchers introduced Decomposer, a framework that converts symbolic MIDI music into editable Strudel programs using synthetic data and reinforcement learning. The system outperforms closed-source large language models …
Graham Christensen, CEO of Determinate Systems, discussed the growing adoption of Nix and reproducible infrastructure on the Open Source Ready podcast, highlighting how more senior engineers are now driving enterprise ad…
A new study on memory-managed long-context attention achieves a perfect 1.000 score on Track A, a controlled retrieval task, compared to a 0.333 baseline, and outperforms dense retrieval methods by up to 16.6 F1 points o…
Large language models achieve less than a 24% success rate on context learning tasks, with a new study identifying specification acquisition as the primary bottleneck rather than content access. Researchers introduced Pr…
Researchers have introduced D3PO, a new framework for multi-objective reinforcement learning that avoids common pitfalls like early scalarization and mode collapse, outperforming predecessors in high-dimensional benchmar…
D-Topia, a new game from Japanese developer Marimittu Games, presents a future where a benevolent AI caretaker optimizes happiness for all inhabitants, blending philosophical questions with grid-based math puzzles. The g…
Anthropic researchers identified a mental workspace inside the Claude AI model where thoughts form before words appear, a structure that emerged during training and is essential for complex reasoning. This discovery rais…
A developer used AI agentic coding to build a system that crawls a billion web pages in 24 hours, writing less than 4% of the code by hand. The project achieved high throughput at scale, demonstrating that vibe coding ca…
Researchers propose a sliding-window-based reinforcement learning (SWRL) framework for dynamic assembly flow shop scheduling with multi-product delivery, addressing challenges from dynamic order arrivals and kitting cons…
A new AI-driven dual-attention deep reinforcement learning system reduces scheduling delays in prefabricated construction by reaching within a 4% margin of constraint-programming references, outperforming traditional dis…
Analysts at Bank of America and UBS advise investors to stick with AI hardware stocks despite a volatile July that briefly pushed chip stocks into a bear market. BofA says new open-source models like China's Kimi K3, lau…