Goody-2, the most responsible AI model (2024)
GOODY-2, a new AI model from BRAIN, claims to be the world's most responsible AI by refusing to answer any query that could be controversial or problematic, achieving a 99.8% score on its PRUDE-QA ben…
GOODY-2, a new AI model from BRAIN, claims to be the world's most responsible AI by refusing to answer any query that could be controversial or problematic, achieving a 99.8% score on its PRUDE-QA ben…
Stripe is paying $7 billion to acquire OpenRouter, a move that positions the payments company to control the routing layer for AI models and become the central bank and traffic controller for LLM agen…
A developer outlines six prompt tactics that reduce AI hallucinations, including asking for citations, allowing the model to admit uncertainty, scoping questions, requesting step-by-step reasoning, se…
OpenAI CEO Sam Altman admitted the past year was difficult and largely his fault, but predicted the next 12 months will be the company's best yet, according to a conversation he had. Altman revealed t…
A developer's field guide traces the progressive evolution of AI-assisted programming, from the Transformer architecture to agentic AI, explaining how each layer emerged from the limitations of the pr…
Stripe is reportedly in talks to acquire OpenRouter for $7 billion, a move that would integrate OpenRouter's universal LLM routing layer into Stripe's payment ecosystem. The acquisition would enable d…
Reasoning models are deliberately trading world knowledge for reasoning skill, with GLM-5.2 scoring 99.2% on AIME 2026 using about 40 billion active parameters per token, while factual recall remains …
A practical tutorial outlines a prompt engineering workflow to remove the predictable 'AI voice' from LLM-generated content, using structured constraints like banning buzzwords and varying sentence le…
A solo developer who built an AI agent system for outreach automation describes the harsh realities of running AI agents alone, contrasting Forbes' characterization of AI agent startups as a 'playbook…
Open source AI development is increasingly centered in China, with models outperforming GPT-4 in coding and math benchmarks while being released under permissive licenses, according to a technical ana…
A vector database stores data as high-dimensional mathematical embeddings rather than rows and columns, enabling similarity searches that find conceptually related items. Unlike SQL databases that ret…
At ICLR 2026, program chairs desk-rejected papers containing hallucinated references, confirming that nonexistent citations can pass through the submission process of a major machine-learning conferen…
A developer built an AI chatbot for his father's prison tablet, using a Python FastAPI server and OpenAI's GPT-4 to deliver concise responses within the device's strict data limits. The project turned…
Generative AI has not leveled the innovation playing field, according to a study of 47 innovation teams across 12 industries that found output quality varied by a factor of 3.2 on novelty scores and 2…
A developer demonstrates how to build an AI agent in 10 minutes using OpenAI's function-calling API, emphasizing the importance of tool use. The agent loop, which allows the model to decide and act, i…
Natural Language Processing (NLP) is an AI field that enables computers to understand and generate human language, powering applications like chatbots, search engines, and content creation. Key techni…
A developer detailed the architectural requirements for building a Linux-native desktop client for LLM-based coding assistants, emphasizing the need for multi-process designs, Rust backends, and deep …
The LLM-as-judge pattern uses a more powerful language model to automatically evaluate another model's responses in production, addressing the scalability limits of human review and the semantic blind…
A large-scale trial in Pakistan found that a custom AI tool called JudgeGPT, built on OpenAI's GPT-4 and a knowledge base of nearly 130,000 judicial opinions and statutes, boosted the number of cases …
The AI industry is heading for an inevitable bubble, and the biggest losers will be mid-tier 'wrapper' startups that rely on APIs like GPT-4 and Claude, as well as companies that over-leveraged on GPU…