Search articles, pages, and resources across BaristaLabs.
Start typing to search...
Page 58 of 61
Insights on AI, machine learning, and technology strategy
Anthropic launched a legal plugin for its Cowork platform and stocks crashed across software, publishing, and data services. Here's what this market rout means for small businesses and the future of professional services.
Google's Gemini 3 has officially crossed the 750 million user mark, signalling a major shift in mass AI adoption. Here is what this rapid growth means for your small business and why you can't afford to ignore it.
Anthropic's new flagship model redefines AI coding with 81.42% SWE-Bench Verified and massive 1M token context.
Moltbook launched as an 'AI-only' social network. Now, thousands of humans are infiltrating it by pretending to be bots. Here is what this weird trend says about the future of online trust.
OpenAI has hired Dylan Scandinaro from rival Anthropic as its new Head of Preparedness. Here is what this major talent shift means for AI safety and the industry landscape.
Google has integrated Veo 3.1 directly into YouTube Studio. Learn how to use 'Ingredients to Video' to create 4K marketing content at scale without a professional videographer.
OpenAI released a standalone Codex app for macOS that lets developers run multiple AI coding agents in parallel, each working on separate tasks in isolated environments. For small development teams, this changes the math on what a three-person shop can ship.
A hundred experts from thirty-plus countries just published a major report on AI risks and capabilities. Most of it is aimed at policymakers, but several findings have direct implications for how small businesses handle security, fraud prevention, and AI adoption.
The Department of Homeland Security is using AI video generators from Google and Adobe to create public-facing content. The tools meant to flag AI-generated media are failing. For small businesses that depend on trust, this changes the game.
Oracle is reportedly planning to lay off up to 30,000 employees to free up billions for AI data center spending. For small business owners watching these headlines pile up, here's what actually matters and what to do about it.
Boris Cherny, creator of Claude Code, shared his personal workflow for building software with AI. Here are 10 practical tips to transform your dev loop.
Dive deeper into the subjects that matter to you
Implementation notes for building AI tools around real business data, handoffs, review queues, and safeguards.
Product notes, service updates, and BaristaLabs news that affect how small teams use AI at work.
AI market news translated into workflow decisions, risk boundaries, and practical next steps for small businesses.
Model concepts explained through thresholds, queues, and error costs that small teams can actually manage.
Plain-language guidance for owners and operators choosing one useful, reviewable AI workflow at a time.
Hands-on guides for approval policies, shadow weeks, agent receipts, and other AI workflow controls.