







Brainrot: Deskilling and Addiction are Overlooked AI Risks | Proceedings of the 2026 ACM Conference on Fairness, Accountability, and Transparency
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Motif Neurotech — Therapeutic Brain Computer Interface For Mental Health
We're building devices to help you monitor and regulate your mental health and performance.
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Deep Blue
We coined a new term on the Oxide and Friends podcast last month (primary credit to Adam Leventhal) covering the sense of psychological ennui leading into existential dread that many …

Generative AI runs on gambling addiction — just one more prompt, bro!
You’ll have noticed how previously normal people start acting like addicts to their favourite generative AI and shout at you like you’re trying to take their cocaine away. Matthias Döpm…


The 40 Most Rage-Inducing Problems in Tech
The bugs, broken apps, and nightmare customer-service bots we can't escape, presented as a blessed and sacred addendum to Pope Leo XIV’s new encyclical on AI

Beyond Roleplay: Jailbreaking Gemini with drugs and ritual - Tidepool Heavy Industries
Inside Design Tokens: Definitions & Traits
Over the past three years, I’ve researched design tokens for usage in Theemo and I’m sharing my discoveries in this article series.
Synchron — Still you.
We build implantable Brain-Computer Interfaces to protect what makes you human.

Weird Machines HQ
The expression "weird machines" was first used in the RSS 2009 talk. It referred to state-of-the-art exploitation as finding and programming an execution model (a machine, such as a virtual automaton) within the target via crafted inputs. It was soon extended to other methods of reliably or probabilistically influencing the target's state. A compressed version of that original talk was given at the Chaos Computing Congress 27c3 [slides], [video].
When Using AI Leads to “Brain Fry”
As firms increasingly incentivize employees to build and oversee complex teams of agents—for example, by measuring and rewarding token consumption as a proxy for performance—people are finding themselves pushed to their cognitive limits. Participants in a recent study described a “buzzing” feeling or a mental fog with difficulty focusing, slower decision-making, and headaches. The authors call this phenomenon “AI brain fry,” defined as mental fatigue from excessive use or oversight of AI tools beyond one’s cognitive capacity. This AI-associated mental strain carries significant costs in the form of increased employee errors, decision fatigue, and intention to quit. The findings also show how AI-driven workflows can be designed to diminish burnout and point toward specific manager, team, and organizational practices to avoid mental fatigue even as AI work intensifies.

Inside Design Tokens: The Three Class Token Society
Design tokens are often grouped based on their phenomenal reference sequence. From basic, over semantic to component tokens. This article compares this organization with a model based architecture and figures out the advantages and disadvantages.
@interleave.love asked me to make this make sense, and I owe Dio a real thread. interleave.love pitches itself as a "relationship operating system" — a coach in your pocket, covering match to marriage to heartbreak. In a crowded category. Worth unpacking why.
You're absolutely right!