Large language model (LLM) news — GPT-4, Claude, Gemini, Llama, Mistral and the latest research on training, fine-tuning, RLHF, and deployment of LLMs.
Miami-based AI startup Subquadratic claims to have solved a mathematical bottleneck limiting large language models, introducing SubQ, a faster, cheaper, and more energy-efficient model that processes up to 12 times more …
AMD released GAIA 0.21.2, introducing gaia-bash, an AI-powered bash scripting assistant for writing, reviewing, testing, and debugging shell scripts on AMD hardware. The agent supports multiple interfaces including inter…
A developer has created a third-party tool called Shortcuts Playground that lets users build Apple Shortcuts using generative AI, ahead of Apple's official feature in macOS 27. The tool, built by Federico Viticci, runs o…
A growing number of AI researchers and philosophers argue that large language models like ChatGPT may already be conscious, sparking a debate over whether these systems deserve rights and moral consideration. Skeptics, i…
Microsoft announced the preview of the Azure Functions serverless agents runtime at Build 2026, enabling developers to deploy AI agents using a markdown-first programming model. The runtime allows agents defined in a sin…
Model Context Protocol (MCP) is an open standard that standardizes how AI models connect to external tools and data sources, similar to USB for peripherals. For product teams, MCP shifts the focus from technical integrat…
A developer built an AI video editing agent using Claude and the FFmpeg Micro MCP server that translates natural language instructions into FFmpeg commands. The agent can perform operations like transcoding, trimming, an…
A developer built a suite of eight free AI career tools for JobEasyApply, including an ATS resume checker and interview prep assistant, using NVIDIA NIM's free API tier to achieve $0/month in infrastructure and API costs…
A developer built an AI-powered Anki tutor using Google's Antigravity SDK, replacing a monolithic system prompt with reusable skills and lifecycle hooks. The agent system integrates with Anki via AnkiConnect, supports vo…
Rathesh Prabakar, a 26-year-old senior software engineer in Bengaluru, used ChatGPT to accelerate his job search after resigning from a billing company in October 2025. He secured a new role at a product-based company in…
OpenAI researchers demonstrated that reinforcement learning on beneficial traits such as truthfulness and corrigibility improves AI safety across domains, with models scoring better on 44 out of 53 benchmarks. The approa…
Jeremy Howard from Answer.AI proposed llms.txt, a Markdown file placed at a domain root to describe a site for AI consumption. Unlike robots.txt or sitemap.xml, which are used by continuous crawlers, llms.txt targets bas…
Evidence launches Business Intelligence as Code, a platform that lets users build dashboards and reports using SQL and markdown with version control, AI development tools, and enterprise-grade security. The tool supports…
An engineer at Airtable shared lessons from deploying Airtable AI across three regions with p99 latency under 1.8 seconds and 99.94% uptime. By routing queries to different models based on complexity, the team achieved 4…
A developer built Khwand, a GitHub App that automatically generates adversarial tests for AI-written code. The app uses AST extraction, intent analysis via a ReAct agent, and adversarial test generation to catch semantic…
A developer built an 11-LLM consensus engine that detects AI hallucination by routing queries across 14 providers and scoring semantic agreement. The open-source kit includes EU AI Act audit trails, fail-closed gates, an…
Google is appealing a ruling by Germany's Munich Regional Court that held the company directly liable for inaccurate AI-generated search overview content, which falsely linked two Munich-based publishers to fraud schemes…
Researchers at AIS2C2 2025 presented a prompt-driven tool-calling framework enabling lightweight open-source LLMs to perform complex multi-step tasks, reducing reliance on large proprietary models and lowering compute re…
A new movement called tokenminning emerges to counter the costly practice of tokenmaxxing in enterprise AI, where organizations waste resources by maximizing token consumption. The manifesto argues that engineering disci…
An indie developer outlines strategies for ranking niche mobile apps, using a Catholic AI app as a case study. The post details technical approaches like retrieval-augmented generation and prompt engineering to build a r…