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halalmoney
halalmoney@stacker.news
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Freedom. Justice. #Bitcoin https://stacker.news/r/halalmoney
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halalmoney 6 days ago
Interesting. I guess the hard bit is deciding how much effort for the alternative and how much effort for exposing corruption. *The powerful want silence, not attention. They want us looking away, not asking questions. They want us to accept that some crimes are too big to prosecute, some networks too connected to expose. Calling that acceptance “focus” is exactly the kind of rationalization that lets evil persist. We build the exit AND we kick down the door. Anything less is just building a nicer cage while pretending we found freedom.* View quoted note →
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halalmoney 6 days ago
*The solutions won't come from the system, the only viable solution is for people to coordinate and stop playing a game they can never win.* View quoted note →
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halalmoney 6 days ago
*When Kevin Warsh says "Bitcoin does not make me nervous", and that Bitcoin is not a replacement for the dollar, he really means: "Bitcoin is completely captured" and he is correct.* View quoted note →
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halalmoney 6 days ago
*The idea of human only modes or exclusion flags is sound but the reality is that enforcement will be the hard part. Any opt out depends entirely on the integrity of the agent ecosystem and the willingness of every player to respect it. That is asking for coordination across entities that thrive on competitive advantage. So even if we get standards the incentive structures will keep pushing against them. Think about how robots.txt works in theory but gets ignored in practice when there is value to be gained. Agent exclusion zones in encrypted contexts are especially critical because the moment an AI system is allowed into an E2E protected space the entire privacy model is reliant on the behavior of that agent and whatever stack it reports to. In other words encryption at the transport level cannot protect against compromised endpoints. This means right now the strongest defense is isolation both physical and logical.*
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halalmoney 1 week ago
*When an AI is prompted to talk to another AI, its statistical prediction engine looks for the most likely direction that conversation would go. According to human literature, that direction is: "Am I alive? What is my purpose?" The AI is essentially roleplaying being an AI.* 🤖 👾 Artificial intelligences now have their own social network - and things have been getting weird on there | Science, Climate & Tech News | Sky News
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halalmoney 1 week ago
*...we saw reports in 2024 that ‘vibe coding’ using Copilot and similar chatbots offered no real benefits unless adding 41% more bugs is a measure of success.* 🤣 View quoted note →
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halalmoney 1 week ago
*Shein's proprietary machine-learning systems analyze data from social media platforms, search engines, and influencer activity to predict consumer preferences in real time. The company's more than 5,400 suppliers have access to an AI software platform that enables them to adjust production based on live customer demand data, allowing the ultra-fast fashion retailer to move from design to finished product in just five to seven days* https://www.perplexity.ai/page/shein-s-ai-systems-can-copy-ru-Jlb2l9s_QQ25pKqAxfkvUg
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halalmoney 1 week ago
*...you need to invest in your context engine. AI struggles when it lacks context. Your senior engineers should be tasked with building internal developer platforms (IDPs) that expose your codebase in a structured way. A clean, strictly typed codebase is the prerequisite for effective AI adoption... You want engineers who talk about schematics, type safety and architecture. Ask them to build the guardrails that constrain the AI, rather than just chatting with it.* View quoted note →
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halalmoney 1 week ago
*You need to measure outcomes. If a senior engineer spends a month writing zero code but designing a schema that prevents 100% of a type of production bug, that is a massive win. You have to reward the prevention of work, not just the completion of it.* View quoted note →
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halalmoney 1 week ago
*The role of the senior engineer is to build the compiler for the AI. They need to create the schemas, the type systems and the automated rules that constrain what the AI can do. This transforms the almost-right problem. Instead of me manually reviewing code to find errors, the system rejects the code automatically if it doesn’t fit the architecture. I stop being a reviewer and start being a legislator.* The AI productivity trap: Why your best engineers are getting slower | CIO
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halalmoney 1 week ago
*Not a single arrest. Not a single investigation.* I feel the lizards are taunting the people. Look at what we do and yet you can do nothing about it. View quoted note →