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.
MIT's SEAL framework lets AI models update their own weights via self-editing and reinforcement learning, marking a milestone toward self-improving AI.
Learn to use GitHub Spec-Kit for spec-driven development with AI agents. Step-by-step guide from installation to writing living specs, feeding them into agents, and iterating. Includes tips for success.
Learn how to implement NVIDIA's Star Elastic method to train a single checkpoint containing multiple LLM sizes (30B, 23B, 12B) using importance estimation, a learnable router, and knowledge distillation, enabling zero-shot extraction.
Via is an open-source CLI that solves context amnesia by connecting AI tools like Claude, Cursor, and ChatGPT through a shared memory bus, eliminating manual copying and re-explaining.
OpenAI launches three specialized voice models with GPT-5-class reasoning, cutting orchestration costs by separating translation, transcription, and reasoning.
Learn to use GitHub Spec-Kit for Spec-Driven Development with AI coding agents. Step-by-step guide covers installation, writing specs, generating plans, and iterating for high-quality code.
Twelve architectural cuts can slash AI training costs by up to 90%. Experts detail first four: fine-tune, LoRA, warm-start embeddings, and gradient checkpointing.
Reduce AI training costs by up to 90% with four model-level techniques: fine-tune don't pre-train, LoRA, warm-start embeddings, and gradient checkpointing. Step-by-step guide with code.
OpenAI releases three specialized voice models: GPT-Realtime-2 (reasoning), Realtime-Translate (multilingual), Realtime-Whisper (transcription). They reduce overhead and enable modular, cost-effective enterprise voice architectures.
Q&A on using hooks with Neo4j to give Claude Code, Codex, and Cursor persistent, shared memory without vendor lock-in. Covers implementation, benefits, and practical steps.
AI giants Anthropic and OpenAI meet Hindu, Sikh, and Greek Orthodox leaders to draft ethical principles for AI, covering dignity, fairness, and accountability.
Learn how to implement unified agentic memory for Claude Code, Codex, and Cursor using hooks and Neo4j, eliminating vendor lock-in and enabling persistent, shared context across tools.
New SPEX algorithm enables efficient discovery of complex interactions in LLMs, boosting interpretability and safety.
AWS announces Amazon Quick desktop app, new pricing, visual asset generation; Amazon Connect expands into four agentic AI solutions; and deeper OpenAI partnership at April 28 event.
Step-by-step guide to using OpenAI's new specialized voice models (Realtime-2, Translate, Whisper) to build scalable voice agents by separating reasoning, translation, and transcription tasks.
Docker's Coding Agent Sandboxes team built 'The Fleet' — 7 AI agents autonomously testing, triaging, and fixing bugs in CI, using Claude Code skills that run identically on laptops and pipelines.
AI firms including Anthropic and OpenAI met with Hindu, Sikh, and Greek Orthodox leaders to draft ethical principles for AI models, addressing moral concerns.
MIT's SEAL framework lets LLMs self-update weights via reinforcement learning and self-editing, marking a concrete step toward self-improving AI alongside recent advances from Sakana AI, CMU, and others.