This week's edition covers AI tools that handle the busywork—NotebookLM transforms documents into narrated videos, ChatGPT creates editable diagrams from sketches, Windows Copilot goes voice-first, and Notion's AI Agent automates hours of data wrangling.
This week's edition covers how AI reshapes human meaning-making, California's new safety disclosure law, and why AI benchmark scores might be telling you less than you think.
Picture this: you buy a shiny new health gadget that claims it will look after you, no effort required. It sounds like the dream. But there’s a problem. Even the most hands-off technology still asks something from you. Mild cognitive impairment, or MCI, is when your memory and thinking
Imagine you could talk to cells and ask them what they’re up to. That’s more or less what Cell2Sentence-Scale (C2S-Scale) lets you do. Built by Google Research and Yale, it’s an open-source model that takes the huge, messy data from single-cell RNA sequencing—basically, a readout of
Adobe Firefly is Adobe’s own set of AI tools, built right into the Creative Cloud apps you probably already know—Photoshop, Illustrator, and Adobe Express. There’s even a mobile app for your phone. What makes Firefly different is that it’s trained only on content Adobe has the
Imagine you’re chatting with ChatGPT, scribbling ideas on a napkin, or digging through old documents. Now, with the Figma app, all of that can be turned into editable diagrams you can actually use. Here’s what’s new: you can now upload photos, sketches, or even PDFs, and ChatGPT
Copilot is Microsoft's built-in AI assistant for Windows 11. Until now, some of its best features, like talking to it with your voice or letting it see what's on your screen, only worked on fancy new computers. Now, anyone with Windows 11 can use them. Now
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.
