Argon AI News

Argon's initial version shipped with a 14 day window of news after which articles and clusters of analysis would no longer be available. Archived news is now live: https://www.argon.news/archive - a searchable archive of everything AI, clustered and analysed where possible, so you can look back, catch-up, or dig deeper to spot your own trends.

We just shipped something new for Argon subscribers: MCP access. Argon reads hundreds of outlets and maps the spread on every AI story, who's covering it, how they frame it, where the coverage diverges. Now you can pipe that straight into your own tools for your own independent research. Dig deeper onto a topic, or see how a story evolves over time, or save a few tokens doing topical research. Connect Argon to Claude, Cursor, or any MCP-compatible client and your AI gets a live research backend for AI news: cross-source synthesis, per-outlet media bias, source stance profiles, balanced, cited, multi-source. Instead of grounding on a single press release, your agent can find the whole picture.

Small addition to yesterday's post on press framing. The "who leans which way" read is only as good as how much source history sits behind it. Some outlets I'd analysed a few weeks of coverage for, others years, so the confidence varied more than I'd like. Went back this week and filled in the gaps. Added years of archived coverage from The Conversation, MIT Technology Review and a few others around the world Nothing new to look at, same feature from yesterday, just steadier numbers underneath it.

🎉🎉 I've shipped the feature I'm pretty excited about, and I want to tell you why it exists. 🎉🎉 A few weeks back I was reading through Argon's clustering of AI coverage and noticed a repeated pattern: the press sentiment analysis is *noticeably* tougher on Sam Altman than it is on OpenAI. Same week, same news, completely different tone depending on whether the story was about the man or the company. I went looking for NVIDIA vs. Jensen Huang, Tesla vs. Elon Musk and same pattern, over and over (Especially for Elon) That's not a thing you can see from reading one article. You only see it once you've read hundreds, across dozens of outlets, over months, and it warps one's perception about a tech company and its frontman. What's new? From the homepage, open any major AI player, OpenAI, NVIDIA, Anthropic, Google, Sam Altman, Elon Musk, and you'll get a clean breakdown of how the press actually frames them. Which outlets lean favourable, which lean critical, which stay neutral, and who covers them most. Aggregated across a curated spread of AI-news sources, not cherry-picked from a single piece. I've kept people and companies as separate profiles, sitting side by side, deliberately. "Tesla" and "Elon Musk" aren't the same thing. You'll find the players right on the homepage now as branded tiles; hover any one for the read at a glance of a general perception. This is media-bias transparency, but specific. Not "this outlet leans left", more like "this outlet has been consistently warm on NVIDIA and cool on Meta, and here's exactly how that's shown up over the last three months." Go have a look and tell me what you find. I suspect you'll spot a few patterns of your own 😊