AI-generated cold emails are bypassing traditional spam filters because they are grammatically perfect, personalized, and sent from authenticated domains, according to Mailmodo's 2024 Email Marketing …
Thinking Machines Labs, founded by former OpenAI CTO Mira Murati, released its first open-weight multimodal AI model, Inkling, a 952-billion-parameter Mixture of Experts system that processes both tex…
A guide to building AI products maps the core structure into five nodes, starting with the base LLM and moving through wrapping layers that add tools, memory, and RAG to overcome the model's limited k…
EqoAI has open-sourced the Prompt Bill of Materials (PBOM) Specification, a standard for tracking, versioning, and securing AI prompts in production. The PBOM provides a machine-readable manifest of p…
A developer building an AI agent hosting service chose DeepSeek Flash over GPT-4, citing a 200x cost difference. DeepSeek Flash handled 90% of tasks as well as GPT-4, and with caching the effective co…
Spring AI 2.0 introduces self-correcting structured output that automatically retries when an LLM returns invalid JSON, fixing errors like null primitives or missing fields. The feature, demonstrated …
Anonymous blogger Gwern argues in a 13,000-word post that large language models (LLMs) lack truly flexible human-like intelligence because they fail to 'grok' — a process where overtraining past the p…
A software engineer's journey from using LLM APIs to understanding the underlying architecture reveals that models process prompts through a pipeline of tokenization, embedding, transformer layers, an…
Large language models such as OpenAI's GPT-3.5, GPT-4, and GPT-4o systematically prioritize Western moral values like care and equality while underestimating values such as purity that are important i…
Fine-tuning large language models offers 10-30% accuracy improvements for specific domains, 90% cheaper inference than GPT-4, and full data privacy. The guide covers when to fine-tune, common mistakes…
George Mack discusses the most important questions of our time, including whether an LLM like GPT-4 or Claude could win a literary prize, and explores concepts such as femmephobia, hypomnemata, and th…
WordPiece, Unigram, and SentencePiece are three subword tokenization algorithms that differ in how they split text, with WordPiece using a likelihood-maximizing merge criterion and a ## continuation m…
Wang et al. published Voyager, an open-ended embodied agent that uses GPT-4 to propose tasks, write executable code against a game API, verify it, and archive verified programs into a growing skill li…
Gorilla, a large language model fine-tuned from LLaMA-7B on machine-generated instruction-API pairs, outperforms GPT-4 on the APIBench benchmark while reducing hallucinated API calls, according to Pat…
AI researchers are increasingly studying how babies learn, believing that infant brain architecture could hold the blueprint for the next phase of artificial intelligence. Unlike current AI models lik…
A Harvard Business Review report found that workers toggle between applications 1,200 times daily, losing nearly 4 hours per week to reorientation, costing roughly $9,000 annually per knowledge worker…
A solo developer spent $47 and four weekends testing AI APIs from six providers to determine the best options for small operators versus enterprise teams. The key finding is that going direct to a pro…
OpenAI outlined a five-part framework for managing AI investments in the agentic era, urging enterprise leaders to focus on “useful work per dollar” rather than token price. The company’s latest model…
A developer created an AI-assisted Architecture Decision Record (ADR) template that uses large language models to generate documentation in 3-5 minutes instead of 30-40. The template covers ADR struct…
Cactus Needle, a 26-million-parameter open-weight language model developed by the Cactus project, is designed exclusively for function calling (tool use), outperforming much larger general-purpose mod…