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It’s like a consortium of sketchy pawn shops complaining to the authorities after a retailer successfully cracked down on an organized shoplifting/pickpocketing ring, and the authorities then fining the retailer for the damage to the pawnbrokers’ business fencing stolen goods — and for exposing the police as ineffective.
Systems want to grow and grow, but without pruning, they collapse. Slowly, then spectacularly.
Quality software is like quality food from the farmer’s market. A jar of handmade organic jam is not the same as mass-produced corn syrup-laden jam from the ...
Reddit is currently the most popular search engine. The only people who don’t know that are the team at Reddit, who can’t be bothered to build a decent search interface. So instead we resort to using Google, and appending the word “reddit” to the end of our queries.
Transport company KNP forced to shut down after international hacker gangs target thousands of UK businesses.
Exposing the overly salesy AI Overviews that will push you to buy bad products and exploring the system making it possible.
Paying for Kagi today feels a lot like paying for HBO back in the cable TV heyday.
Kagi Search Help
‘Software is eating the world!’ US tech investor Marc Andreessen claimed in 2011, on the eve of launching his venture capital firm, Andreessen-Horowitz. This extraor…
I anatomize a successful open-source project, fetchmail, that was run as a deliberate test of some surprising theories about software engineering suggested by the history of Linux. I discuss these theories in terms of two fundamentally different development styles, the "cathedral" model of most of the commercial world versus the "bazaar" model of the Linux world. I show that these models derive from opposing assumptions about the nature of the software-debugging task. I then make a sustained argument from the Linux experience for the proposition that "Given enough eyeballs, all bugs are shallow", suggest productive analogies with other self-correcting systems of selfish agents, and conclude with some exploration of the implications of this insight for the future of software.
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