A developer gave Claude Code access to 100 books and a simple command: "find something interesting." What came back wasn't summaries. It was connections no hand-tuned pipeline could find.
When Google locked AlphaFold 3 behind commercial restrictions, three MIT PhD students rebuilt it in four months. Now Boltz has $28M, a Pfizer partnership, and a bet that open-source can capture drug discovery infrastructure.
The man who predicted the 2008 crash sat in a Google Doc with Anthropic's co-founder. Both admitted what they don't know. Burry sees stranded assets and accounting tricks. Clark can't prove his own tools improve productivity.
Tech journalist. Lives in Marin County, north of San Francisco. Got his start writing for his high school newspaper. When not covering tech trends, he's swimming laps, gaming on PS4, or vibe coding through the night.
Google's Workspace Studio promises AI agents for everyone, no coding required. But the real story isn't about capability. It's about distribution. And why enterprises still can't get employees to actually use the AI tools they've already paid for.
Anthropic hired IPO lawyers the same day it announced its first acquisition. The company claims efficiency while burning $2.8B annually. Its safety positioning has won enterprise customers—and alienated Trump's White House. The math is complicated.
DeepSeek's new math model matches OpenAI and Google's gold-medal IMO performance, then does what they won't: releases everything. The 685B-parameter system beat the best human Putnam score by 28 points. But did it reason, or just remember?
OpenAI's Stargate deal locked up 40% of global DRAM supply in one transaction. RAM prices tripled in weeks. Some companies saw it coming and stockpiled. Others didn't. The consumer PC market absorbs the cost of someone else's AI ambitions.
Meta is talking to Google about buying TPUs. Wall Street panicked. But the real story isn't supplier defection—it's ecosystem politics, negotiating leverage, and the complicated game every AI company plays when chips are this scarce.
Trump's Genesis Mission invokes Manhattan Project urgency to accelerate AI-driven science. But the executive order commits zero new dollars, claims credit for existing partnerships, and arrives while university research funding gets slashed.
OpenAI's new shopping bot achieves 64% accuracy while the company bleeds $5 billion yearly. As Amazon blocks access and processing takes 5 minutes, the tool reveals a deeper crisis: OpenAI needs revenue desperately but can't build it.
Google must double AI compute every six months to meet demand, but capacity limits are already capping product rollouts and revenue. As bubble concerns mount, the company bets that underinvesting poses the greater risk in the infrastructure arms race.
Google's new image generator embeds "critical" authenticity watermarks in every AI creation. But pay $19.99/month and the visible mark disappears. The company monetizes the transparency tools it says protect public trust, while actual deepfake threats go unaddressed.
OpenAI's Codex-Max cuts tokens 30%, runs 42% faster. But compaction's opacity, Windows optimization signaling Microsoft alignment, and API delays reveal infrastructure gaps. Efficiency gains mask cost pressure in competitive squeeze.
Federal judges ruled Meta faces fierce competition from TikTok and YouTube. The same day, PyTorch's creator left for a startup. Meta won its antitrust case while losing the researchers who determine whether it can compete five years from now.
