

Bixonimania: The Fake Disease That Fooled Every Major AI — And Then Sneaked Into a Real Medical Journal
In early 2024, Swedish medical researcher Almira Osmanovic Thunström from the University of Gothenburg decided to run a brilliantly devious experiment.
- When Cursor Wiped a User's PC: A Cautionary Tale of AI Overreach
- The Great AI Talent Paradox: Why Everyone is Hiring "AI Engineers" but Nobody Can Find Them
- The Dawn of the Wisdom Era: Why Your Intelligence is No Longer Enough
- LinkedIn Wants to Buy beehiiv: The Battle for Creator Independence and the Future of B2B Newsletters


The Mirage Effect: Stanford Just Proved That “Computer Vision” Is Often Just Confident Bullshit
a16z’s New Top 100 AI Consumer Apps Just Rewrote the Rules — And the Leaderboard Is Finally Stabilizing
In March 2026, Andreessen Horowitz released the 6th edition of its influential “100 Gen AI Consumer Apps” ranking. This isn’t just another quarterly update.
The Billion-Dollar Solo Startup: How One Man Built Medvi — $401M in Year One, $1.8B Run Rate in Year Two — With Just AI and His Brother
In September 2024, Matthew Gallagher did something that most founders would call impossible.
Huawei’s Moon Mode Scandal: The Forgotten 2019 AI Fake That Suddenly Feels Nostalgic — As Huawei Prepares to Power DeepSeek V4
In early April 2026, a quiet but seismic piece of news dropped: DeepSeek’s upcoming V4 model — the next major leap from one of China’s strongest open-weight AI labs — will run entirely on Huawei chips, not Nvidia.
Meta’s Muse Spark: A Respectable Step Up That Finally Puts Them Back in the Game
On April 8, 2026, Meta Superintelligence Labs quietly dropped Muse Spark — the first model in their new “Muse” family. It’s not the flashy, headline-grabbing monster that instantly claims the #1 spot on every leaderboard. But here’s the thing: it doesn’t have to be.
Services: The New Software – Why the Next $1 Trillion Company Will Look Like a Services Firm
In March 2026, Sequoia Capital published a provocative essay titled "Services: The New Software". The core idea is as bold as it is timely: the next trillion-dollar company won't sell software tools. It will sell the actual work itself — powered by AI, delivered as a seamless service, and disguised as a traditional services business.
More News

When Cursor Wiped a User's PC: A Cautionary Tale of AI Overreach
We recently received a sobering story from a subscriber, a stark reminder of the potential pitfalls when granting AI agents unfettered access to your system. It's a scenario that sounds deceptively simple, but the consequences were almost catastrophic.

The Great AI Talent Paradox: Why Everyone is Hiring "AI Engineers" but Nobody Can Find Them
I see this pattern repeating across dozens of companies. The founder or CTO has a mature engineering team. Everyone knows how to code; most use Cursor or Claude Code. Formally, they are all "working with AI." But when you look under the hood at the actual processes, you realize the AI is just a thin layer smeared over an obsolete architectural workflow.

The Dawn of the Wisdom Era: Why Your Intelligence is No Longer Enough
The era of competing with machines on their home turf — logic and data — is over. To win in the future, you don't need to be a better computer; you need to be a better human. The "OpenClaw" setups and frontier models are just the tools. The question is: Do you have the wisdom to know what to do with them?

LinkedIn Wants to Buy beehiiv: The Battle for Creator Independence and the Future of B2B Newsletters
In late 2025, rumors surfaced that LinkedIn quietly explored acquiring beehiiv, the independent newsletter platform that has rapidly become one of the most popular alternatives to Substack.

Two Seemingly Contradictory Thoughts About AI Transformation
The reality is more nuanced and more interesting: a gradual but substantial restructuring of white-collar work, with meaningful productivity gains and moderate headcount adjustments spread over several years.

Stop Projecting Human Qualities onto AI — How to Actually Build Effective AI Systems
The biggest mistake you can make in 2026 is trying to turn an LLM into a digital employee.

You’re Not Building AI Systems — You’re Discovering Them
Here’s a truth most people still refuse to accept when they try to “implement AI” in their business: You are not building a system. You are discovering one.




