AWS introduces Amazon Quick desktop app with creative AI, expands Amazon Connect into four agentic solutions, and deepens OpenAI partnership at a special event.
Learn how to turn Claude into a task-tracking project manager using a hidden system prompt. Step-by-step instructions for activating the mode, updating statuses, and generating a visual dashboard.
A Q&A on scaling interpretability for LLMs using ablation methods like SPEX to identify critical interactions efficiently.
MIT's SEAL framework enables LLMs to update their own weights via self-editing and reinforcement learning, a major step toward self-improving AI. The paper arrives amid a surge of similar research and discussions about AI autonomy.
Learn to build future-proof enterprise Java systems using Jakarta EE standards, Quarkus migration, and AI integration with zero unnecessary dependencies.
Learn to implement Local-First AI Inference: route 70-80% documents locally, use Azure AI for edge cases, human review for errors, cutting costs 75% and time 55%.
A step-by-step guide to setting up and using Amazon Quick's new desktop app, content generation, custom app builder, and Amazon Connect's AI solutions for supply chain, hiring, and customer experience.
AWS 2026 unveils Amazon Quick desktop app, pricing, custom apps; Amazon Connect's four AI solutions; and deeper OpenAI partnership for proactive business automation.
Docker built a virtual fleet of seven AI agents using Claude Code skills to autonomously test, triage, fix bugs, and release notes, running locally and in CI.
OpenAI's three new voice models (Realtime-2, Translate, Whisper) separate reasoning, translation, and transcription, reducing enterprise overhead and enabling modular voice agent orchestration.
A Q&A guide to building a cost-aware LLM routing system with NadirClaw: local prompt classification, centroid vectors, proxy server setup, and cost estimation versus always using a pro model.
AWS announces Amazon Quick desktop app with generative AI and new integrations, plus Amazon Connect expands into four agentic AI solutions for supply chain, hiring, and customer service.
Discover 10 key insights into detecting interactions in LLMs at scale, from ablation to SPEX/ProxySPEX algorithms, enabling transparent AI.
NadirClaw open-source routing system classifies prompts as simple/complex, then switches between local and Gemini models, cutting costs up to 80% without sacrificing quality.
AWS announces Amazon Quick desktop app, four new Connect AI solutions (Decisions, Talent, Customer), and deeper OpenAI partnership at April 28 event.
Hooks and Neo4j let Claude Code, Codex, and Cursor share persistent memory, ending vendor lock-in and enabling seamless multi-tool workflows.
LLM meeting summarizers fail by skipping the identification step—asking what data can support—leading to plausible but ungrounded outputs, experts warn.
NVIDIA's Star Elastic embeds multiple nested submodels in one parent checkpoint, reducing training costs. It uses importance estimation and a learnable router to extract variants without fine-tuning.
New study shows doctors feel disrespected when patients use AI to fact-check advice, harming trust. Learn how to use AI without damaging your healthcare relationship.
Describes the scalability challenge in LLM interpretability and introduces SPEX and ProxySPEX, ablation-based algorithms that efficiently discover critical interactions among features, data, or internal components.