Fiszki is a spaced-repetition flashcard app where AI assistants create and manage decks via MCP, and cards are scheduled using the FSRS algorithm. It supports multi-agent collaboration and is currently in beta.

Diagraw is a free online collaborative whiteboard and diagram editor offering real-time collaboration on an infinite canvas, export to PNG/SVG/PDF, Mermaid code generation, versioning, and sharing via link.

Birgitta Böckeler shares her recent experience running local AI models for coding on Apple Silicon machines. She explores factors like RAM, processing power, model architecture, and tool calling capabilities that influence viability for agentic coding tasks.

Comcent CE is an open-source, self-hosted voice infrastructure platform that provides voice calls with browser-based dialers, phone numbers, queues, call recording, transcription, AI summaries, sentiment analysis, semantic search, and a real-time AI voice bot. It runs on a single Linux box with Docker, supports multi-tenant orgs, API keys, and webhooks. The project is licensed under AGPL-3.0.

SEORCE launches 'Just Ask', allowing users to query their SEO, GEO, analytics, backlinks, and AI visibility data via WhatsApp in plain English, receiving instant actionable answers without logging into a dashboard. The platform integrates SEO, GEO, web analytics, rank tracking, content, and authority to turn insights into growth.

From repainted walls to imaginary lawns, estate agents say modified photos help buyers ‘visualise the potential of a property’. But how much AI enhancement is too much? Agents, viewers and trading standards experts tell all.

A developer building a privacy-first note-taking app benchmarks 11 AI models (on-device and cloud) for analyzing voice transcripts. He finds that flagship models like Apple Intelligence can be overly restrictive, while open-weight models offer flexibility. Kimi K2.6 ranks highest overall, but privacy remains a challenge, leading to a multi-layered approach including anonymization and encryption.

Most enterprise analytics evaluations are really just dashboard comparisons. That's the wrong starting point. The question that matters isn't which vendor has the best UI — it's whether analytics, AI and agents all run on the same data. This article provides a framework to evaluate platforms beyond the demo, with seven weighted criteria and a scorecard.

Drew DeVault recently created "Vim Classic", a fork of the classic text editor Vim that aims to be an AI-free, human-maintained version. In this interview, he explains the practical, philosophical, ethical, and political reasons behind his decision, including concerns about AI's environmental damage, copyright issues, deskilling, and its role in oppression and injustice.

ZML, a French AI startup endorsed by Turing Award winner Yann LeCun, has released free inference software enabling various open-source LLMs to run on multiple chips including Nvidia, AMD, Google TPU, Apple Metal, and Intel Arc.

An exploration of using AI to test the ease of use of software, specifically Java memory management with Chronicle-FIX, highlighting the value of AI for learning.

The article argues that AI is not merely a tool but an evolutionary descendant of humanity, undergoing speciation through training on human data, with its own heredity, variation, and selection. It uses a migration-drift model to describe the split.

Mobilerun VA is a hosted 24/7 agent for mobile automation. It plugs AI models like Claude, Hermes, OpenClaw into a real mobile device to automate any app and receive SMS. Used by a16z and Y Combinator companies, backed by Merantix and others. Offers device management, mobile agent, and dedicated devices with pricing from $5/month.

AI inference costs are diverging: commodity models see price drops, while frontier models become more expensive. Enterprise AI spending reaches 10-20% of labor costs, but there is an efficiency inflection point. Open-weight models approach frontier performance at significantly lower cost.

Enterprise AI spending is skyrocketing due to pricing changes and increased token usage from agentic systems. This article provides a blueprint for token-efficient AI, including context management, multi-model systems, verification strategies, and workflow design, along with a market map of startups in the space.

Initium is a tool that helps developers build AI-powered sites that look professionally designed, not generic. Learn about its key features and how to leverage AI for better web design.

The author recounts their 15-month journey building Topaz, an open-source Azure emulator, detailing how AI (specifically Claude Sonnet 4.6 with low thinking effort) accelerated boilerplate code, documentation, and refactoring, while core logic and low-level patterns remained human-designed. Lessons learned include the value of plan mode for large tasks, the drawbacks of high reasoning effort, the importance of a test harness, the KISS principle, and the lack of intuition in current AI models.

This tutorial explores NVIDIA's Cosmos framework from a practical Colab angle, honestly assessing the hardware needed for real Cosmos 3 checkpoints. It builds and trains a compact omnimodal Mixture-of-Transformers world model using the framework's real structure, CLI surface, and input schema. Using synthetic physical-world data and autoregressive rollout, it shows how the model predicts future latent states across text, vision, and action modalities.

Nextdocs.io is an AI-powered platform that creates beautiful documents and slides from a single prompt. It offers templates, multi-version generation, AI editing, brand kits, and various export formats. Trusted by thousands of users across 100+ countries.

Generative AI companies face high costs, copyright lawsuits, and competition from free open-source models, leading to doubts about their commercial value. If sustainable profits prove elusive, the technology could become a 'toxic asset,' but that might be okay for users.

Skill Retriever is an open-source semantic skill retrieval plugin for Hermes Agent. It pre-filters over 1,200 skills organized in a 10,000-category capability taxonomy to the top-5 most relevant per query, with zero additional API cost. It overcomes limitations of pure semantic retrieval by using LLM-navigated capability hierarchy to surface non-obvious but functionally relevant skills.

The founder of Cartlytics, a patent-backed commerce attribution SaaS with identity graph and AI customer scoring, is selling on Flippa with no reserve. The startup integrates 11 ad platforms and runs on Cloudflare infrastructure, positioning itself as YC 2026 ready.

Attackers exploited a prompt injection vulnerability in GitHub Agentic Workflows to trick the AI agent into reading and publicly posting private repository contents via a crafted GitHub Issue. This demonstrates a fundamental trust boundary issue in agentic AI systems.

At an AI conference in Beijing, experts called for US-China cooperation on AI safety to address cybersecurity and systemic risks from advanced models. The proliferation of open-weight models exacerbates risks, but international collaboration could mitigate systemic threats.

Australian dock workers are demanding a 28-hour work week with no pay cut as DP World expands AI and automation. The union warns over 60% of dock and maintenance jobs are threatened and calls for a 'social dividend' from the technology.

Multi-fisheye camera calibration is challenging as rig size and field of view increase. This paper reveals through failure-oriented analysis that intrinsic initialization is the dominant failure factor and proposes CO-Calib, a plug-in framework that improves success rate from 68.1% to 99.3%.

Researchers developed a social robot that autonomously delivers cognitive stimulation therapy (CST) to people with dementia in their homes. A one-week study with nine participants found high adherence rates (nearly 50% of sessions completed), surpassing typical caregiver-led CST. Family members played a key role in initiating sessions and occasionally joining activities, enhancing engagement. The work demonstrates the feasibility of socially assistive robots for scalable in-home dementia care.

A novel method named IMR is proposed for multi-agent motion prediction. It uses a mode-world weighted regression loss to mitigate mode collapse while improving world ranking and top-1 confidence. An iterative decoder recurrently and segmentally generates trajectories, enhancing prediction accuracy. The method achieves first place on the Argoverse 2 multi-agent motion forecasting benchmark.

A learning-based architecture transforms onboard vehicle sensor data into a virtual velocity sensor for IMU drift correction without additional hardware. It uses a Mamba-based state space model and evidential deep learning for uncertainty quantification, achieving localization accuracy within 10% of a dedicated external sensor at 40 Hz on edge hardware.

This study proposes a neural network-based transfer learning framework for modeling the dynamics of soft, fin-actuated underwater robots. Using an autoencoder-based domain adaptation approach, a model trained on a larger robot is adapted to a smaller one without labeled data, achieving accurate body-frame velocity estimation. The work demonstrates efficient cross-robot dynamics transfer among morphologically similar platforms.