AI for Everyone. Then Came the Token Bill.
Cut enterprise AI costs with smarter model routing, leaner context, prompt caching, bounded agents and task-appropriate file formats.
The Future Is for Everyone (Terms and Conditions Apply)
Zuckerberg says AI’s future should belong to everyone. I agree—but only if access, power, privacy and accountability are truly shared, not merely promised.
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Degrees, Drills and Algorithms: Rethinking Education in the Age of AI
AI is reshaping the value of degrees and apprenticeships, rewarding adaptable people who combine critical thinking, practical skills and human judgment.
When the Machine Notices a Thought That Isn’t Its Own
LLMs may be developing a rudimentary ability to inspect their own internal states - a curious step toward self-monitoring, transparency, and new risks.
Please Do Not Commit the Brain to GitHub
Encrypted AI reasoning can leak more than expected. Stolen Thoughts shows why opaque model state should be treated like secrets, not harmless metadata.
When AI Evaluates AI: The Circularity Problem of Simulated Users
MatrAIx scales user testing with billions of AI personas, but when models evaluate models, their results may reflect machine biases rather than real human needs.
The Machine Does Not Need the Jack
What if brain-computer interfaces need less bandwidth, not more? Conduit bets that faint neural hints plus powerful AI may be enough to turn thought into intent.