TypeSafe's structured decision model Jev, benchmarked as a quality judge on the 1,000-rubric Feedback-Collection dataset, was tested against two low-cost general-purpose LLMs on a 750-example held-out…
An engineering team spent eight months building an agent framework that treats AI agents as employees rather than chatbots, giving each agent a defined identity, authorization boundary, and machine-re…
A developer published a step-by-step guide for building a voice-enabled chatbot that chains OpenAI's GPT-4 and Whisper with ElevenLabs' text-to-speech API. The Python script records microphone audio, …
A developer demonstrated that large language models exhibit output patterns resembling human cognitive biases, including anchoring and framing effects, by running simple prompt experiments. The writeu…
A developer outlined a Retrieval-Augmented Generation (RAG) pipeline designed to ground general-purpose LLMs in secure Real-World Evidence (RWE) for Health Economics and Outcomes Research (HEOR), argu…
A developer built an independent benchmark comparing TypeSafe's Jev model against GPT-4, Claude, and Gemini on classification tasks including spam detection, sentiment analysis, and topic classificati…
A developer launched ZixcAI, an agentic AI chat interface built on a custom 770-billion-parameter mixture-of-experts model with 80 billion active parameters per token. The system pairs a native PHP an…
A security engineer published a practical checklist for testing tool-calling LLM agents, arguing that test suites must verify the system of record rather than the agent's final reply. The checklist co…
A 2026 data-driven analysis of AI coding tools finds that while 42% of code on GitHub is now AI-generated and 74% of Copilot users report 30-55% faster completion, AI still fails on business logic, se…
McKinsey senior partners Tanguy Catlin and Lari Hämäläinen said in a Tuesday McKinsey Live session, "Improving the Economics of Agentic AI," that enterprise AI spending keeps rising even as the cost o…
TypeSafe AI launched Jev, a non-autoregressive model built by an engineer behind ChatGPT and GPT-4 that returns calibrated probabilities over predefined outputs rather than generating text, with the A…
OpenAI has formalized its external frontier AI testing program, giving qualified third-party organizations deeper access to early model checkpoints, selective evaluation results, and in some cases mod…
Researchers at Johns Hopkins University found that OpenAI's GPT-4, Meta's Llama, Google's Gemini, and Mistral's Vibe produced less formal and less complex workplace writing for emails, job application…
OpenAI has discontinued Codex, its last assistant-like coding model, according to multiple Reddit and blog posts, removing a standalone coding-focused model from OpenAI's product line and shifting dev…
Anthropic's guidance on building effective agents distinguishes workflows, where LLMs and tools follow predefined code paths, from agents, where the LLM dynamically directs its own process and tool us…
The open-source Python package ora-grounding, released under the MIT license and installable via `pip install ora-grounding`, adds deterministic post-response grounding checks plus cross-family advers…
A technical explainer argues that contemporary artificial intelligence, including large language models such as OpenAI's GPT-4, remains strictly computational and lacks genuine understanding or emotio…
A developer has demonstrated a PyTorch-based Transformer model for forecasting blood glucose dips up to 30 minutes ahead using continuous glucose monitor data. The system pipelines CGM readings throug…
Developer Vidit Raj released Pebble, an open-source 25-million-parameter language model built entirely from scratch that can call tools such as a calculator or weather API, publishing the code on GitH…
A developer's enterprise AI reality check argues that generative AI and large language models have become genuinely useful in production, but that most vendor promises of 10x productivity and massive …