Just Buzz

The Future Has a Signal. We’re Just Buzz.

In a world flooded with headlines, algorithms, hype cycles, and hot takes, Just Buzz is your filter for clarity, nuance, and intelligent reporting on artificial intelligence. We’re not here to dazzle you with jargon or echo industry press releases. We’re here to ask better questions, push past the noise, and cover AI as it truly is — disruptive, powerful, flawed, and deeply human in its consequences.

Launched in 2025, Just Buzz was founded on one belief: that the public deserves more than surface-level coverage of technologies that are fundamentally reshaping society. From large language models and synthetic media to edge AI, data regulation, and ethics in automation, our editorial team investigates what’s real, what’s next, and what’s being conveniently ignored.

Our Mission

We aim to bridge the gap between cutting-edge innovation and public understanding. AI isn’t just about smarter chatbots or venture-backed unicorns — it’s about labor, surveillance, privacy, inequality, governance, and creativity. We explore the full spectrum of AI’s impact, from the server rooms of Silicon Valley to classrooms, courtrooms, and kitchen tables.

Just Buzz is:

  • 🧠 Critical: We challenge assumptions and scrutinize claims — whether from startups, Big Tech, or academics.
  • ✍️ Narrative-Driven: Our stories blend investigative rigor with narrative storytelling that centers the people behind and affected by the machines.
  • 📊 Data-Literate: We respect numbers but never worship them. Data is only as good as the context around it.
  • 🌍 Globally Minded: AI is not a U.S.-only story. We bring in global perspectives from the EU, Asia, Latin America, and Africa.
  • 🛠️ Accessible: We don’t assume a CS degree. Our content is crafted to inform engineers, artists, activists, educators, and everyday readers alike.

Our Writers

🧔‍♂️ Ron Kovarski — Senior Correspondent, Systems & Society

A veteran of the tech journalism circuit, Ron Kovarski brings over a decade of experience covering the warp-speed evolution of innovation. A graduate of Northwestern University’s Communications and Media Studies program, Ron cut his teeth writing for regional tech blogs before making his name at The Circuit Times during the golden age of cloud computing.

Ron’s work spans the technical and the tangible — from startup exposés to on-the-ground reporting from hardware labs in Taiwan and open-source conferences in Berlin. His long-form pieces for Wired, The Verge, and Fast Company have been praised for combining technical accuracy with sharp, character-driven storytelling. His 2021 investigation into algorithmic bias in facial recognition systems was shortlisted for the National Magazine Awards, and remains a must-read in university classrooms and tech boardrooms alike.

These days, when he’s not covering the latest in cybersecurity threats, AI governance debates, or obscure robotics startups, Ron writes a popular Substack newsletter, Compiled and Wired, where he calls out vaporware, reviews gadgets with brutal honesty, and spills behind-the-scenes details from the tech media world.

Ron lives in Brooklyn, New York, with his dog Turing and an obsessive collection of vintage mechanical keyboards. You’ll likely find him typing on a 1987 IBM Model M while interviewing a founder working on AGI.

👩‍🦱 Simona Sanchez — Features Editor, Culture & Consequences

Simona Sanchez is the site’s lens on how AI intersects with identity, labor, policy, and power. With a Master’s in Sociology from UC Berkeley, Simona entered tech journalism not through the product review pipeline, but through data justice and community analysis.

Before picking up the pen full time, Simona worked in nonprofit data roles, helping marginalized communities navigate the very algorithmic systems now marketed as solutions. Her breakthrough came through an investigative fellowship at The Markup, where she combined sociological insight with hard data to unpack systemic bias in tech infrastructure.

Her reporting has appeared in MIT Technology Review, Protocol, and Slate, and her series on surveillance capitalism in public schools received acclaim for exposing how predictive technologies reshape trust and autonomy in education. She regularly appears at conferences like RightsCon and SXSW, speaking on tech ethics, algorithmic transparency, and the cultural blind spots of innovation.

Simona also hosts the podcast “Code & Culture”, where she interviews engineers, organizers, and philosophers about the ripple effects of tech design. Based in Oakland, California, she spends her off-screen time backpacking, collecting analog photography gear, and mentoring emerging journalists from underrepresented backgrounds.

What We Cover

  • Daily AI Briefings: Curated, essential headlines — minus the hype
  • Long-Form Features: Deep dives into the impact of AI on labor, law, media, and society
  • Investigations: Proprietary reporting on industry practices, regulatory loopholes, and data misuse
  • Global Dispatches: Updates from the EU, China, India, and beyond on AI governance and development
  • Opinion & Essays: Bold ideas and critical perspectives from contributors and experts
  • Explainer Series: Accessible breakdowns of complex concepts like transformer models, RLHF, or synthetic data

Who We’re For

  • Developers curious about the social implications of what they build
  • Policymakers and analysts tracking the real-world impact of innovation
  • Journalists and academics seeking well-sourced, well-contextualized information
  • Everyday readers who want honest, engaging reporting on the tech shaping their lives

Whether you’re an AI optimist, a tech skeptic, or someone still figuring out what “fine-tuning” means, Just Buzz is built to inform you — not sell you.

Support Our Work

We are reader-funded and fiercely independent. If you believe in slow journalism, transparent reporting, and tech coverage that treats intelligence as a two-way street, consider subscribing or becoming a supporting member.

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Let’s Keep the Conversation Honest

We’re not here to worship the machine. We’re here to understand it — and help others do the same. That’s the buzz. No spin. No shortcuts. Just Buzz.