More AI everywhere doesn’t mean better results. Small teams of AI experts beat mass licenses. Attackers now use AI to run cybercrime at machine speed. Leaders can’t keep up. Tools still forget us. The winners? Focused expertise and hybrid AI, not AI everywhere.
This week's edition covers Microsoft Copilot's cross-platform search and memory features, ChatGPT's new voice-and-text integration, Google Gemini 3's coaching capabilities for students and creators, free ChatGPT access for teachers, and Claude's extended conversation threads.
This week's edition covers building custom interfaces in ChatGPT, Google's Veo 3.1 video generation with native audio, multi-turn agent evaluation, and monitoring agent reasoning.
You've built something and you need to know if it works. So you do what's sensible—you ask an LLM to grade it. Factual accuracy, code quality, agent outputs. The machine judges the machine, and you get a number you can act on. Except that number
Imagine you have a bunch of teams, some with AI, some without, and some where everyone gets their own AI. Researchers ran a big experiment with over 400 people to see what actually happens when you mix and match humans and AI in different ways. Here’s what they found:
Claude Opus 4.5 is the newest brainchild from Anthropic, the folks behind the Claude language models. Think of it as their latest and smartest tool for handling really complicated tasks—like having an assistant who can juggle lots of jobs at once, and still keep everything running smoothly. So,
Claude is Anthropic’s AI assistant, and you can chat with it on the web or your desktop. But until now, if you talked to Claude for too long, you’d suddenly hit a wall. The conversation would just stop, and you’d have to start over from scratch, losing
In the space between AI's promise and its practice, we find the stories that matter.
Content here would be high-level and accessible – e.g. explainers of AI concepts in plain language, AI news that affects daily life, or human-interest stories about AI. It also covers segments like knowledge workers broadly, or those simply using AI tools in everyday life.
High-level content for executives, team leaders, and decision-makers overseeing AI adoption. This encompasses CEOs, CTOs, department heads, project managers – anyone in charge of strategy and leadership. Topics include AI strategy, ROI and investment, change management, ethical governance, and case studies of AI transformation.
Dedicated content for compliance officers, risk managers, auditors, and information security professionals. AI raises unique challenges in data privacy, model bias, cybersecurity, and regulation compliance – this segment provides analysis on those issues.
Tips and insights for writers, bloggers, editors, and digital content creators – including social media influencers – on using AI in content generation. This could cover AI writing assistants, deepfake concerns in media, ethical AI use in content, etc.
Resources for data scientists, research scientists, and academics working on AI. These pieces might include algorithm breakthroughs, research papers explained, data analysis techniques, and forward-looking AI science.
Articles aimed at UX/UI designers, product designers, artists, and creative professionals interested in AI. Topics could include AI in design tools, generative art, AI-driven UX, and creativity. This lets creative folks (who may not code) see how AI can augment design and content creation processes.
Content for software developers, AI/ML engineers, data engineers, and technical staff who build AI systems. This segment covers coding tutorials, engineering best practices, model development insights, and other deeply technical topics.
Coverage aimed at journalists, reporters, and media editors who write about AI or use AI in newsrooms. Topics might include fact-checking with AI, AI in news generation, media ethics regarding deepfakes, and implications of AI on journalism. This category is slightly distinct from general content creators, focusing more on news media and reporting.
Guidance for marketing strategists, salespeople, and business development professionals on applying AI in their work. Content might discuss AI-driven marketing analytics, personalized advertising, sales chatbots, or customer insight tools.
Features articles on how AI can assist in health and daily living for seniors, guides to AI literacy for older adults, and discussions of AI-driven products for aging populations.
Includes coverage of AI tools that aid people with visual/hearing impairments, analyses of inclusive design in AI, and stories of AI empowering those with disabilities.
Insights for government officials, regulators, civic leaders, and public sector professionals interested in AI’s societal impact. Content here could range from AI policy debates, governance and legislation updates, to how AI is used in public services or national strategies.
This segment speaks to academia – professors, students, and research labs – covering AI education, fundamental research developments, and collaboration between academia and industry.
