Hedge 308: Hidden Competence


 
We all talk about how engineers deal with imposter syndrome–but we don’t often talk about the experience of making things work “in the background.” What is competence, and what do we do when competence isn’t recognized? Justin Wilson (j2sw) joins Russ and Tom to discuss.
 
https://media.blubrry.com/hedge/media.blubrry.com/hedge/content.blubrry.com/hedge/hedge-308.mp3
 
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Worth Reading 061026


 


When business volume and market capitalization cross a critical threshold, vertically integrating infrastructure ceases to be merely a cost-cutting financial tactic; it becomes an existential imperative for computational resilience and commercial survival.

 


It looks like industry mergers and acquisition activity is in high gear lately.

 


Building multi-agent systems right now feels painfully identical to the early, chaotic days of the micro services gold rush.

 


The standard is called DNS-AID (Domain Name System for AI Discovery). Its premise is that the internet already solved the problem of finding things at scale forty years ago with DNS — and that the same infrastructure should handle AI agents.

 


Mythos is real. I know a big chunk of the industry thinks it’s a marketing stunt, and I get why. I get it. But I’ve seen the findings, and they’re bad.

Worth Reading 060826


 


In a paper published late in 2025, Østergaard and colleagues reported on their examination of almost 40 psychiatric referrals across Denmark that implicated AI chatbots in harmful interactions, including suicidal thoughts, eating disorders, and fostering delusions

 


Since its deployment in 2011, the adoption of RPKI by Internet Service Providers has shown continuous growth, a trend that persists to this day. As this growth continues it is important to measure its effect on BGP stability.

 


AI companies, AI influencers and famous professors have been making extraordinary claims for years about AI.

 


A robotic system that can produce a rubbery pancake is a true technical and logistic achievement, but why all this work to automate the production of mediocrity?

 


The greatest risk we face today isn’t that AI is becoming “too smart”; it’s that we are beginning to treat this technology as an infallible “oracle” rather than a capable, yet fundamentally fallible, “intern.”

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