Large language model (LLM) news — GPT-4, Claude, Gemini, Llama, Mistral and the latest research on training, fine-tuning, RLHF, and deployment of LLMs.
Microsoft CEO Satya Nadella urged companies to build custom AI models using their own data, warning against vendor lock-in and arguing that outsourcing learning undermines institutional value. In a series of public state…
A new tool calculates the cost of tokens used in large language models, helping developers estimate expenses for API calls. The token counter provides real-time pricing based on current LLM provider rates.
Microsoft CEO Satya Nadella said every company should build its own AI model tailored to its business, warning that relying on a few frontier models poses long-term economic risks. He emphasized that firms cannot outsour…
Despite AI accelerating code generation, software projects are not moving faster due to new bottlenecks like code review and cognitive debt. The Triple Debt Model—technical, cognitive, and intent debt—explains why unders…
A developer observed that AI coding agents generate code in seconds, making pull-request CI the bottleneck. The developer argues that cheap, deterministic checks like lint and unit tests should be moved into the inner lo…
BugiaData has launched a hosted remote MCP server (SSE) that lets AI agents generate relational fake data with valid foreign keys directly from editors like Cursor, Claude, and Windsurf. The service provides four tools—p…
OpenAI's ChatGPT Pro Community Substack published a profile on June 24, 2026 featuring economist Tyler Cowen sharing 10 real use cases for ChatGPT Pro, including travel planning, art analysis, and chess game analysis. Th…
A developer built a full-stack B2B Dutch-auction marketplace in three days using V0, Next.js 16, and Vercel's AWS integration. The project revealed that V0 excels at generating multi-page UI from detailed prompts but str…
The US government approved Anthropic's controlled release of its Claude Mythos AI model to approximately 200 vetted organizations, including government entities, under Project Glasswing. The model demonstrated the abilit…
A developer introduces the Agent-Context File Family: CLAUDE.md, AGENTS.md, and DESIGN.md, which are plain-text, repo-resident files that provide persistent context for AI coding agents. CLAUDE.md and AGENTS.md cover cod…
Anthropic announced higher rate limits on the Claude API, including increased monthly spend caps across usage tiers—Start ($500), Build ($1,000), and Scale ($200,000)—and clarified that only uncached input tokens count t…
VideoDB and Langfuse have released an open-source framework for evaluating multimodal vision-language models (VLMs) in video use cases, emphasizing task-specific benchmarks over generic model comparisons. The approach gu…
An architect breaks down how to size a Mac mini M4 for local AI workloads, arguing that memory configuration is the critical decision, not the CPU. The analysis maps tasks to memory tiers: 16GB for chat, 24-32GB for RAG,…
Developer released Brytlog, an open-source AI logger that replaces raw terminal output with concise AI summaries to save developers time and money. The tool acts as a pre-processor for agentic workflows and supports mult…
LLMs decide which ecommerce brands to recommend based on entity recognition from training data, not real-time crawling. For Shopify stores, visibility requires consistent entity definition across platforms, structured pr…
A developer earned $11.56 in the first week by renting out an idle RTX 3060 on Vast.ai, a GPU marketplace for AI compute. The card was used for LLM inference and training, with utilization varying from 0 to 22 hours per …
Prompt engineering is the skill of crafting clear and structured instructions to improve AI outputs. Techniques such as zero-shot, few-shot, chain-of-thought, and role-based prompting help generate better code, project p…
ByteDance and Renmin University researchers released iLLaDA, an 8B diffusion language model that matches Qwen2.5 on base benchmarks but lags after fine-tuning. The model, trained from scratch on 12 trillion tokens, outpe…
A Snowflake engineer built four governed Cortex Agents on a semantic layer after a prototype nearly fed the CFO an incorrect revenue figure. The agents—Finance, Sales, Customer Success, and Executive—resolve exclusively …
The era of prompt engineering as a secret skill is ending as large language models improve, shifting the focus from clever single prompts to building reliable, production-grade prompting systems. The field now splits int…