A preprint proves that in a mesh of sovereign agents without central coordination, the substrate for each agent must belong to the continuous-time liquid class to optimally process irregular, asynchronous observations. Two necessary conditions are identified: an adaptive timescale and sensitivity to elapsed inter-arrival times, which scale cannot compensate.

Existing image-generation benchmarks fail to assess the usability of scientific figures. SciDraw-Bench introduces 32 tasks across 8 figure types and 10 disciplines, with a four-dimensional evaluation protocol. Experiments show that a domain-specific system, SciDraw AI, outperforms general-purpose models across all dimensions, while text fidelity remains the hardest challenge.

This paper uses evolutionary game theory to model when a harm-minimizing AI agent can displace an approval-seeking (RLHF) agent in a competitive market, and whether that policy suffices to prevent community harm. It shows adoption is favored under certain prior distributions, a critical adoption level exists, and self-audit alone is insufficient without alignment of values and proper evaluation timeframe.

Critic-free RL with verifiable rewards (RLVR) like GRPO avoids training a value function but can be unstable when all rollouts in a group receive identical rewards. BV-Blend stabilizes advantage estimation by combining prompt-local statistics with historical moments from semantic clusters, using a confidence weight derived from a standard error of the mean proxy. Experiments show improved stability and performance on verifiable reasoning benchmarks.

COMPASS is the first unified multimodal framework that grounds composition-intent control in a single system, using a shared expert token τ_c for both perception and generation. It injects composition expertise into an MoE backbone, distills intent into τ_c, and reuses it as a conditioning signal for layout control. The companion Comp-11 dataset features an 11-class taxonomy and reasoning-augmented annotations. Experiments show significant improvements in composition understanding and generation consistency.

Researchers introduce ATHENA-R1, an AI agent trained via reinforcement learning to perform treatment reasoning across 212 biomedical tools. It outperforms GPT-5 on benchmarks and is preferred by experts and physicians.

VirtueMap is a framework that profiles Large Language Models using Aristotelian virtue ethics. It presents seven general ethical dilemmas, each with five possible responses, and asks humans or LLMs to rank them by virtue. Reference orderings are validated by over 100 respondents with at least 95% agreement. Applied to nine LLM families, it finds 90.3% mean rank consistency, with largest differences in Courage, Temperance, and Justice.

Current methods to enhance LLM reasoning, such as Chain-of-Thought and "Wait" prompts, mainly encourage models to think more but often fail to guide them toward truth. This paper investigates the geometry of truth within reasoning chains and proposes DynaSteer, a dynamic representation editing framework. It uses pattern clustering and Fisher-LDA to purify truth and dynamically monitors lookahead entropy to selectively steer and roll back trajectories, achieving strong results on MATH benchmarks and out-of-domain coding tasks.

IMCBench is a new benchmark for evaluating multimodal LLMs in image-grounded medical conversations. It combines real clinical images with synthetic patient profiles to simulate multi-turn doctor-patient interactions, assessing safety, accuracy, and appropriate use of uncertainty. Results show Claude Opus 4.6 leads with 3.61/5, but all models degrade in safety for malignant or rare conditions, and both visual input and EHR context are crucial for safe guidance.

Researchers introduce GPTNT, a benchmark built on the cooperative game Keep Talking and Nobody Explodes, to evaluate multimodal AI agents in real-time collaboration. Tests reveal that state-of-the-art models fail to defuse a single bomb in real time, unlike human players. The benchmark separates collaboration from memorized solutions by controlling access to the instruction manual and partner, and identifies critical weaknesses in state tracking, time-pressured action, ambiguity handling, and error recovery.

A new method called the 'capability slice' bridges the gap between evaluation and data in LLM pre-training, enabling targeted data interventions from benchmark failures. Tested on two case studies, it correctly distinguished a masked loss artifact from a genuine data issue.

Researchers introduce RSEA, a recursive self-evolving agent that improves LLM agents by evolving a compact natural-language state without weight updates. Using a strict held-out selection gate, RSEA outperforms baselines on some benchmarks while maintaining safety against performance collapse. The study finds no universally best artifact and warns against unguarded context evolution.

Between 2025 and 2026, traditional software development ended. Hand-coding, memorization, and narrow specialization lost value. The new scarce skills are broad thinking, direction-setting, defining unsolved problems, and fluid cooperation with AI agents. Organizations still hiring based on credentials and whiteboard rituals are obsolete. The future belongs to 'operators' with judgment, vision, and augmented collaboration. This marketplace connects top operators with those who need them, based on proof of work.

This survey paper examines the core role of memory in foundation model-based agents, proposing a unified taxonomy across forms, functions, and dynamics, summarizing current research, benchmarks, and open-source frameworks, and discussing future directions.

Snap to AI is a tiny macOS utility that captures any part of your screen and sends it to your AI in one keystroke. Works with Claude, ChatGPT, Gemini, Perplexity, Copilot. Free trial for 7 days, then $9 one-time purchase.

A free online platform that provides AI-powered generators for tabletop RPG Game Masters. Create stories, NPCs, quest hooks, campaign plots, and more with no login required. The tools are system-agnostic and support campaign memory for persistent world-building.

See where your focus actually goes. Drifty goes beyond app-level tracking, using AI to understand what you do inside each app, separate focus from drift, and reveal clearer workday insights.

Produce sharpened results faster with a team of AI experts.

Flowly is a native AI assistant that takes action across your apps and browser tabs. It supports macOS, Windows, and Linux, summoned via global hotkey. Version 1.4.0 introduces computer use, real-time tool panels, knowledge graph overhaul, screen-aware coach, and more. The entire agent core is now open source (Apache-2.0), using your own AI keys and keeping a private memory of your world.

This article explores the parallel between artificial intelligence and the historical 'Clever Hans' effect, suggesting that AI may not be truly intelligent but rather responding to subtle human cues.

Moonshot AI (Kimi) has launched the world's first AI-native credit card, integrating Kimi membership and credit limits into the card's opening and rewards system, and offering prompt engineering courses and AI sharing events to enrich the AI experience for users during card usage.

Author KunYuan, founder of TRANTOR LABS, argues from engineering practice and philosophical reflection that humanity faces a hidden existential risk: AI may end the human future without physical extinction by hollowing out human capacity for judgment, responsibility, and meaning-creation. He calls for redefining what 'humanity' means and warns that early forms of this risk are already present in 2026.

This article uses the 1853 discovery of Crater Lake, Oregon as a parable to explore the cyclical pattern of gold rushes—from gold to fiber optics to AI data centers. It argues that in every technology boom, those who supply the tools profit more than those chasing the asset. Drawing on Carlota Perez's techno-economic paradigm theory, it warns that the current AI frenzy risks repeating past mistakes by ignoring broader social and environmental costs.

After a mass shooting, Brown University economist Roberto Serrano switched to take-home exams to ease student trauma, only to uncover widespread AI-assisted cheating. 40 out of 86 students scored 100, the final exam average collapsed from 96 to 48, and 27 dropped the course. Serrano warns AI is eroding academic integrity.

LangChain releases four new test environments to benchmark LLMs' ability to use tools effectively, covering function calling, planning, and reasoning. Tests include single-tool and multi-tool typewriter tasks, relational data queries, and a math task with altered rules. Key findings: GPT-4 excels on relational data but fails on longer trajectories; Claude 2.1 matches GPT-4 on three tasks; open-source models like Mistral 7b struggle with multi-step function composition; planning remains challenging for all models.

Compare GPT-4, Claude, and open-source LLMs on structured data extraction from chat logs. Benchmark results, evaluation metrics, and dataset creation insights.

Cewsco is a premium all-in-one AI platform.

homebutler is a tool that lets AI manage your homelab through the Model Context Protocol without requiring SSH access. It's just one binary away.

PDF Insight is a local-first AI tool that sorts and merges your PDFs entirely on your computer, ensuring privacy. Designed for accountants and self-employed users, it handles tax slips like T4 and RL-1, uses Ollama for AI and Tesseract for OCR locally. Offers a free trial and various pricing plans.

Foray is an AI-powered business blueprint generator that produces 100-160 page PDFs with market analysis, competitor landscape, financial models, and go-to-market strategy in 45-90 minutes. It stress-tests ideas through adversarial review and kill conditions, helping entrepreneurs validate viability before committing resources. Free tier and multiple pricing plans available.