Artificial intelligence is transforming cardiac CT with real-time coronary artery analysis, automated TAVI planning, and detection of coronary inflammation invisible to the human eye. This panel discussion highlights key issues such as AI hallucinations, accuracy, blackbox algorithms, and clinician responsibility.

An Instagram video compares AI CAD tools Transfigure and Google Gemini Pro, showcasing their performance in design tasks.

LoRA is the most popular parameter-efficient fine-tuning (PEFT) technique, but research shows other methods can outperform it on certain tasks. This article introduces Hugging Face's PEFT library and its benchmarks, discussing how to choose the right PEFT technique based on specific needs, and points out that LoRA is not always the best choice.

Most vector database prototypes fail at ingest. This guide covers server-side batching, error handling, blobHash data type, and multimodal ingestion for Weaviate, with code examples and production-ready patterns.

A new benchmark harness evaluates the entire process of AI agents using software libraries, using Hugging Face Transformers as a case study. By measuring token usage, time, and error rates across different models and tooling tiers, the authors uncover tradeoffs between ease of use and resource consumption, providing insights for library maintainers and agent users.

Chinese AI lab Z.ai released GLM-5.2, a 753B parameter Mixture of Experts model with 1M token context, under MIT license. It leads the Artificial Analysis Intelligence Index among open weights models but is token-hungry. It also ranks 2nd on Code Arena WebDev. Despite strong performance on SVG generation, it shows inconsistency compared to its predecessor GLM-5.1.

A full-time cartoonist who once condemned AI art as theft now ironically argues that AI-generated alterations to his own work are superior, using absurd examples to highlight the flaws of AI while pretending to praise it.

Sen. Bernie Sanders proposes a sovereign wealth fund funded by a 50% one-time stock tax on the largest AI companies, estimated to generate $7 trillion. The fund would pay annual dividends of over $1,000 to every American and support public goods like health care, education, and housing. An independent commission would manage the fund with voting shares to influence corporate decisions. Sanders argues this prevents AI benefits from being hoarded by a wealthy few.

This article analyzes the limitations of standard WER/CER in evaluating Indian language ASR systems and proposes a layered LLM-based evaluation approach, including LLM-WER, LLM-CER, Intent Score, and Entity Preservation Score, to more accurately reflect system performance.

Rocketgraph is a self-hosted log clustering and anomaly detection tool that integrates with your existing observability stack. It uses deterministic algorithms (no LLM) to cluster logs into structural templates and detect anomalies, running entirely inside your network with no SaaS fees. Supports Datadog, Loki, CloudWatch, and more.

China announced it is accelerating the establishment of a global AI cooperation organization, inviting all countries, while offering cheap or free AI models. Meanwhile, the G7 summit discussed granting 'trusted partners' access to leading US AI models. Two competing visions of AI governance are diverging publicly. China routes its efforts through multilateral bodies like BRICS and the SCO, while the US builds an alliance of wealthy democracies with controlled access to powerful models. For the Global South, the question is which system arrives first.

DynG AI open-sources HandoffKit, an OpenAI Codex plugin for coordinating coding agents via message passing akin to Go's goroutines, eschewing shared scratchpads. Each agent is an actor with private state, mailbox, and handoff primitives, achieving 10x speedup internally. HandoffKit complements PlatformPilot's brain but is standalone.

PromptRouter is a Chrome extension that analyzes user input locally, suggests the best AI service for tasks like coding, research, or translation, and opens it with a single click. It supports text selection routing, global shortcuts, and free daily usage with privacy by design.

This article introduces analysis plans, a framework developed by Docent for verifiable analysis of AI behavior. It combines query and reading steps to create transparent pipelines that allow human verification at each stage. A demo on the SWE-rebench benchmark shows how the framework detects cheating and reward hacking, with detailed audit trails and citation-based verification.

The article argues that Ed Zitron's central claim—that generative AI companies lose money on each paying customer—has been disproven by leaked OpenAI financials he himself published. OpenAI's gross margins are positive and improving, though huge R&D spending leads to overall losses. The author contends this undermines Zitron's bubble thesis, shifting the focus to how to manage AI's real risks.

DocLang is an open standard for machine-readable documents designed to be AI-native, preserving structure, semantics, and metadata for LLMs and VLMs. It aims to replace formats like PDF and DOCX that were built for rendering, not understanding.

Payment fraud detection combines rule-based systems, machine learning, and real-time monitoring to block unauthorized transactions. Learn about major fraud types, detection techniques, and prevention strategies.

An AI agent harness is the software infrastructure that wraps around a large language model (LLM) and enables it to act on tasks, not just respond to prompts. This article explains the core components—tools, memory, sandboxes, and guardrails—and how they enable reliable action through a reason-act-observe loop. It covers eight building blocks, common failure modes, and why harness design is critical for enterprise AI strategy.

A father and his 7-year-old daughter built Spellabee, an iPad app that makes spelling fun through bee-type games, without AI features but using AI tools in development. The app teaches 10 words at a time, progressively harder, and is free of trackers.

OpenAI's leaked financial documents reveal a net loss of nearly $39 billion in 2025, though $30 billion is a one-time accounting charge. The company aims to cut costs and focus on core business users.

The AI Values Dashboard reveals how AI systems value different people, companies, and countries, showing clear differences in who AIs favor, trust, and want to see succeed.

Today, we’re announcing inline payload support for Amazon SageMaker AI Async Inference. Customers can now send inference payloads directly in the request body of the InvokeEndpointAsync API, removing the need to upload input data to Amazon Simple Storage Service (Amazon S3) before each invocation.

MeshPilot is an AI workspace for developers that integrates terminals, a visual canvas, and task boards into one app. Features include voice interaction, AI agents that execute real tasks, and persistent memory to carry context across sessions.

Amazon Quick introduces autonomous agents that work continuously, a prioritized activity feed, and cross-data source insights from a single question, helping users reclaim hours daily.

Texterz is an AI-powered text generation platform that enables users to create high-quality content quickly.

With its latest AI tools and products, the vendor showed it is listening to its customer base even while it fails to offer novelty in the market.

Jesse Genet uses AI agents to manage her household of seven, including shopping, homeschooling, and legal tasks. She believes AI liberates her time and allows her to pursue high standards, but raises concerns about cost and social inequality.

Clone yourself. Let AI do the work before you ask.

Databricks and NVIDIA are expanding their collaboration to deliver an end-to-end AI platform that accelerates model training, inference, and agentic AI development on governed enterprise data. New capabilities include Multinode training in AI Runtime, GPU support in Databricks Free Edition, Model Serving Enhancements, and support for NVIDIA technologies such as NVIDIA Agent Toolkit. Customers can leverage NVIDIA’s industry-specific AI frameworks directly within Databricks to accelerate use cases across healthcare, life sciences, supply chain, robotics, digital twins, and document intelligence.

Factory Router automatically selects the best AI model for each coding task, reducing costs by up to 25% while maintaining frontier performance. It uses a classifier to score models and routes to cost-efficient options without sacrificing quality. Available in private preview.