How the Pope’s Magnifica Humanitas offers a template for individuals to meet the AI moment
Pope Leo XIV’s new encyclical on artificial intelligence includes a statement that warrants serious attention from technologists and policymakers: “Technology is never neutral.” Magnifica Humanitas (“Magnificent Humanity”) is a clarion call to all people to act with courage and solidarity as we ente...
Meet mKernel: A Multi-GPU, Multi-Node Fused Kernel Library for GPU-Driven Communication
UC Berkeley's UCCL team releases mKernel, fusing intra-node NVLink, inter-node RDMA, and dense compute into a single persistent CUDA kernel.
The post Meet mKernel: A Multi-GPU, Multi-Node Fused Kernel Library for GPU-Driven Communication appeared first on MarkTechPost.
Hexo Labs Open-Sources SIA: A Self-Improving Agent That Updates Both the Harness and the Model Weights
Hexo Labs released SIA, an open-source self-improving loop, under an MIT license. A Feedback-Agent reads each run's trajectory, then either rewrites the scaffold or triggers a LoRA weight update on gpt-oss-120b. Combining both levers beat scaffold-only iteration on LawBench, TriMul GPU kernels, and ...
Representation Signatures and Risk-Feedback Alignment in LLM Trading Agents
arXiv:2605.28850v1 Announce Type: new
Abstract: We study behavioral alignment and representation dynamics of large language model (LLM) agents in financial decision environments. Using TradeArena, an auditable trading-agent testbed with risk reports, execution simulation, memory, and replayable tra...
Molecular Lead Optimization via Agentic Tool Planning
arXiv:2605.28862v1 Announce Type: new
Abstract: Drug discovery is a lengthy and resource-intensive process composed of multiple stages. Among these stages, lead optimization plays a critical role in transforming early hit compounds into viable drug candidates. This stage requires improving ADMET-re...
Self-Play Reinforcement Learning under Imperfect Information in Big 2
arXiv:2605.28863v1 Announce Type: new
Abstract: Imperfect-information multiplayer games test whether agents can act under hidden information, sparse rewards, and non-stationary opponents. We study these challenges in Big 2, a four-player imperfect-information card game. We develop a self-play RL fr...
The Cognitive Categorical Transformer: Category-Theoretic Inductive Biases for Language Modeling
arXiv:2605.28864v1 Announce Type: new
Abstract: The Cognitive Categorical Transformer (CCT) is a 306M-parameter architecture that augments a pretrained GPT-2 Small backbone with cognitively grounded components derived from category theory and several inspirations from cognitive science. Under a mat...
Ultra-Reduced-Impact-Encased-Logging (URIEL): propose a new method for selective sustainable logging and post-harvest silvicultural treatment in tropical forest using airborne robotics systems
arXiv:2605.28883v1 Announce Type: new
Abstract: Tropical forests worldwide are under intense deforestation pressure driven by economic and political interests, and scientific evidence suggests this deforestation contributes to climate change. This paper proposes a novel logging method for tropical ...
AI Weekly Issue #497: Anthropic and OpenAI are taking over governments
This was the week the frontier labs stopped being vendors. OpenAI now runs inside US biodefense and Japan's three biggest banks, and it just mapped its own safety rules to EU and California AI law. Meanwhile China unveiled an LLM that automates satellite targeting. Workforce policy is splintering: C...
AI Weekly Issue #497: AI's labor war just went global
This was the week the AI-and-work conflict broke into the open simultaneously across four jurisdictions. Wikipedia editors are organizing a strike over Wikimedia layoffs. Amazon employees gamed its internal AI ranking into uselessness. Chinese courts began enforcing a framework that bars AI-justifie...
Liquid AI Releases LFM2.5-8B-A1B: An On-Device MoE Model With 8.3B Total and 1.5B Active Parameters
Liquid AI's LFM2.5-8B-A1B activates 1.5B of 8.3B parameters, offering 128K context, reasoning, and tool calling on consumer hardware.
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Anthropic Ships Claude Opus 4.8 Alongside Dynamic Workflows and Cheaper Fast Mode, With Workflows Capped at 1,000 Subagents
Anthropic's Claude Opus 4.8 brings dynamic workflows and cheaper fast mode to Claude Code, now in research preview
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As AI agents move from experiments to production, AWS, Cloudflare, and others are redesigning cloud infrastructure for a future dominated by machine-generated internet traffic instead of human users.
EmoNet: Speaker-Aware Transformers for Emotion Recognition — and What I’d Build Differently in 2026
A retrospective on my MS thesis, the leaderboard it placed on, and the LLM shift that has reshaped the field since.
The post EmoNet: Speaker-Aware Transformers for Emotion Recognition — and What I’d Build Differently in 2026 appeared first on Towards Data Science.
Data Formulator 0.7: AI-powered data analytics for enterprise data
Data Formulator introduces AI-powered analytics for enterprise data workflows. Data teams can easily bring enterprise data into an AI-ready workspace where users can explore, analyze, and visualize data with AI agents to turn raw data into actionable insights.
The post Data Formulator 0.7: AI-powere...
Sesame, the conversational AI startup from Oculus founders, launches its iOS app
Sesame’s new iOS app brings its conversational AI agents to the public, offering more natural back-and-forth interactions designed to feel less like traditional chatbots and more like talking to a person.
The Infrastructure Behind Making Local LLM Agents Actually Useful
Lessons from building a fast, reliable scientific agent with local open-weight models, vLLM, and long-context infrastructure
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