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John Arundel, writing for an unspecified publication, presents a six-step workflow called 'Code like a PIRATE' for using JetBrains' AI coding agent Junie, emphasizing planning, iterating, reviewing, and assessing AI-gene…
A developer argues that the debate over when AGI will arrive is unproductive, as estimates range from a few years to decades, and instead advises building for the steady capability curve where task length doubles every f…
Hemispheric, a startup co-founded by Apple FaceID co-inventor Gidi Littwin, has raised $52 million to build a frontier AI model that decodes brain electrical activity to diagnose cognitive disorders without invasive proc…
A 5-condition ablation study (3,175 total runs) validates that growth-ratio normalized Lyapunov energy functions serve as precise leading indicators of agent task failure, achieving zero stability violations across 1,886…
Gray Swan co-founders Zico Kolter and Matt Fredrikson discussed the state of AI red teaming, warning that prompt injection and agent vulnerabilities create a new class of security risks that traditional cybersecurity can…
Robotics teams are rebuilding data infrastructure from scratch to support scaling laws for robot learning, as existing tools cannot handle the multi-rate, multimodal data required. This 'data layer tax' slows iteration, …
Microsoft vice chair and president Brad Smith announced in December 2025 a C$19 billion investment in Canada, calling it the company's largest-ever commitment and "the most robust digital sovereignty plan" Microsoft has …
Y Combinator (YC) has announced nine new Visiting Partners—former founders who will take time before their next ventures to advise startups in the current batch. The group includes leaders from companies like Swiftype, A…
Skild AI launched S1, a robotics foundation model that learns manipulation tasks from a single video demonstration without fine-tuning, enabling deployment in as little as 11 minutes. In internal tests, S1 achieved a 66%…
Thinking Machines Lab and four academic researchers released ReViSQL-K2.6, a text-to-SQL model that scored 91.37% with 16-sample self-consistency and 88.55% with greedy decoding on the expert-verified Arcwise-Plat-SQL be…
Three software engineers wrote to a developer asking whether AI will replace their jobs entirely. The author argues that learning to use AI is only a temporary advantage, and that the real solution is end-state thinking—…
Google's GKE Labs introduced OpenRL, an open-source self-hosted API for post-training and fine-tuning large language models on Kubernetes clusters. The project decouples reinforcement learning infrastructure from AI rese…
A new self-supervised learning framework, Tiny Vision Transformer with Pathology-Aware Prototype Distillation (TVT-PAPD), achieved a weighted F1-score of 93.02% on the TCGA LGG and GBM dataset and 90.23% on the IPD-Brain…
A developer proposes building programming languages, runtimes, and tools designed specifically for large language models (LLMs) rather than adapting human-oriented tools, citing security, feedback, introspection, and sca…
6G networks are integrating AI deeply into their infrastructure through self-supervised learning methodologies like the joint-embedding predictive architecture (JEPA), promising enhanced efficiency in beam management and…
Andreas Wolf's T3DD26 talk 'Before You Let AI Touch Your Code' argues that AI amplifies existing software development practices, so teams must build a 'harness' of QA, team culture, and specs before adopting AI. Wolf not…
A new book, 'Time Series with PyTorch' by Graeme Davidson and Lei Ma, offers a practical guide for time-series forecasting using PyTorch, covering evaluation, architectures, and tasks beyond point forecasting. The book's…
Ludwig, a declarative deep learning framework hosted by the Linux Foundation AI & Data, announced support for Python 3.12, PyTorch 2.7+, Pydantic 2, Transformers 5, and Ray 2.54, enabling users to train, fine-tune, and d…
Japan's Chugai Pharmaceutical aims to deploy 10 specialized AI agents per employee to double its R&D output by 2030, shifting the domestic enterprise AI playbook from generic productivity tools to proprietary, domain-spe…
Mutagent Helix published a meta-evaluation comparing its agent-building tool against hand-driving Claude Code across twenty agent benchmarks, measuring each calibration pass by dollar cost and number of human interaction…