i have an impression that ai-assisted coding is so far most enjoyed by either people who can't debug anything, or, people who can debug absolutely everything
X : All your talk about reasoning make you seem very anti the AI era.
When an entire culture decides that producing outputs matters more than understanding mechanisms, it works fine right up until the environment shifts and nobody remembers how to reason from first principles.
A spoiler for the future - Bitcoin
Austerity measures will have taken the route of unprecedented and radical decimation of the state - everything from state provided healthcare to coastguards to income support to education will be practically gone replaced with numerous forms of bitcoin based insurance. If you can't afford it then you won't be able to gain access to it. There will be no state help as the state can neither fund universal care nor determine whether you deserve support.
Is there a better word for 'hackathon'?
[Common hackathon activities like coding are not a good use of my time for an in-person event. I need quiet focus time and good ergonomics to do programming. Better to use these rare encounters with colleagues to chat, brainstorm, do exploratory design work for instance. I already start hacky prototypes on a whim anyway and don’t need an event do to it.]
I don't think it's the changeover itself that hurts. It's the speed. We all feel this transition. It creates a kind of thin corridor where many so-called shortcuts are currently being taken that are not really shortcuts at all. Outcomes and effects will simply be different. Efficiency is increasingly confused with impact.
i hope more people hear the call to be thoughtful in how they approach these new possibilities. with great speed, many are adopt something on shaky ground, ready to lock themselves in and throw away the key.
every question I ask is turned into a thesis, the counter is created (antithesis). Two agents then take on those roles and the case is argued through several rounds (minimum of three, maximum of ten). A group of 12 agents then vote (with public reasoning) after each round - the first three rounds are merely indicative and there's also a zero round vote on the quality of the thesis / antithesis.
A judging agent then decides at the end of each vote whether the arguments are materially different and if there has been a successful conclusion. Without a successful conclusion then the game continues (again there must be at least 3 rounds). Both the arguing agents have access to the argument, the counters, the voters comments and votes. Each round they present a refined argument. A court recorder summaries the thesis, antithesis, the main arguments presented and which argument eventually wins (if any does).
The entire global monetary system explained in under 15 minutes
[The monarch gives them tokens in exchange for labour, then demands it back in the form of taxes.]
Decentralized Social Media: What is it, how does it work?
In ActivityPub you get a bit more resilience in that other people's instances might go down, but once they're up again you'll resume synchronizing with them. Your main issue is that once your instance goes down, you personally can't participate anymore unless you make an account somewhere else.
AT protocol is a bit more complicated in that you have several different points of failure. If the firehose goes down none of the app views will see new posts but should have their existing ones. If an app view goes down others will still work and you'd still be able to pull from people's PDSs. If your PDS goes down you can't post but if someone else's goes down you can still see everything else.h
Nostr has the most resilient model in that you can use as many relays as you want and if some of them go down you'd be fine so long as you can find more.
Behind the AI boom, the armies of overseas workers in ‘digital sweatshops’
More than 2 million people in the Philippines perform this type of “crowdwork”, according to informal government estimates, as part of AI’s vast underbelly. While AI is often thought of as human-free machine learning, the technology actually relies on the labour-intensive efforts of a workforce spread across much of the global south and is often subject to exploitation.
Charisse, 23, said she spent four hours on a task that was meant to earn her $2, and Remotasks paid her 30 cents.
Founded in 2016 by young college dropouts and backed by some $600m in venture capital, Scale AI has cast itself as a champion of American efforts in the race for AI supremacy. In addition to working with large technology companies, Scale AI has been awarded hundreds of millions of dollars to label data for the US Department of Defense
Evan You – From Art School Kid to Open Source Legend
[In the same way that "how do you monetize a startup?" is too open-ended, it's necessary to be specific and creative in how you fit an open-source "product" to potential "markets". Monetization capacity of an open-source project depends on how it's applied: frameworks have larger scope and reach many developers whereas an esoteric build tool may have a smaller audience.]
