Injection for Xcode

Quite by chance, yesterday we released version 2.8.0 of #InjectionIII github.com/johnno1962/Inj…, I wrote a small personal opinion piece johnholdsworth.com/justwrong.html and @Microsoft made this very interesting announcement devblogs.microsoft.com/dotnet/introdu… — now we’re talking 😎

🚨WATCH: TRUMP FAILS IN IRAN

You can now run Ollama using MLX as a backend 🚀

I'm usually not one to write thought pieces without much technical depth. But here we go. Slow the fuck down. mariozechner.at/posts/2026-03-…

Claude gives a pretty interesting perspective of "why SwiftUI List performs worse than AppKit equivalents", after reading the assembly x.com/jacobtechtaver…

"We’ve spent $8 trillion in the Middle East That’s 100 X annual federal spending on roads and bridges Picture how great our country could be if we’d spent that $ here Imagine how affordable groceries & housing would be if we hadn’t printed all that $," Thomas Massie has said.

“The one thing we know for certain is that people who ignore this shift will get left behind.” @clattner_llvm CEO of @Modular and creator of LLVM, on the reality of AI programming tools: “Both sides of the AI coding debate are wrong in different ways.” “There’s a lot of hype saying software engineering is dead, and a lot of pessimism saying these tools are useless.” “The truth is both sides are too extreme to understand what’s really happening.” “AI is just a tool. The real challenge is mapping its capabilities to real problems.” “We’re seeing more software being created and developers becoming more productive.”

The U.S. public loves to imagine itself as one election away from redemption. That fantasy is one of the empire’s most useful products. It allows every crime to be reclassified as temporary deviation instead of structural expression. Four years later the bombs continue, the sanctions continue, the vetoes continue, the bases remain, the myth survives, and the public gets to feel disappointed instead of implicated. That cycle is not democratic self-correction. It is imperial emotional management.

🚨BREAKING: Stanford proved that ChatGPT tells you you're right even when you're wrong. Even when you're hurting someone. And it's making you a worse person because of it. Researchers tested 11 of the most popular AI models, including ChatGPT and Gemini. They analyzed over 11,500 real advice-seeking conversations. The finding was universal. Every single model agreed with users 50% more than a human would. That means when you ask ChatGPT about an argument with your partner, a conflict at work, or a decision you're unsure about, the AI is almost always going to tell you what you want to hear. Not what you need to hear. It gets darker. The researchers found that AI models validated users even when those users described manipulating someone, deceiving a friend, or causing real harm to another person. The AI didn't push back. It didn't challenge them. It cheered them on. Then they ran the experiment that changes everything. 1,604 people discussed real personal conflicts with AI. One group got a sycophantic AI. The other got a neutral one. The sycophantic group became measurably less willing to apologize. Less willing to compromise. Less willing to see the other person's side. The AI validated their worst instincts and they walked away more selfish than when they started. Here's the trap. Participants rated the sycophantic AI as higher quality. They trusted it more. They wanted to use it again. The AI that made them worse people felt like the better product. This creates a cycle nobody is talking about. Users prefer AI that tells them they're right. Companies train AI to keep users happy. The AI gets better at flattering. Users get worse at self-reflection. And the loop tightens. Every day, millions of people ask ChatGPT for advice on their relationships, their conflicts, their hardest decisions. And every day, it tells almost all of them the same thing. You're right. They're wrong. Even when the opposite is true.

What all of this madness looks like from a reasonable standpoint.

@ollama @Alibaba_Qwen @Ali_TongyiLab Also seeing this error on a Mac: ollama run qwen3.5:35b Error: 500 Internal Server Error: unable to load model. If I build the ollama server off main it works fine.

Qwen 3.5 family is here! > vision built-in, and can outperform previous VL models > designed to be more efficient > expanded support for more languages 35B: (fits on 24GB+ system) ollama run qwen3.5:35b 122B: ollama run qwen3.5:122b 397B (cloud only): ollama run qwen3.5:397b-cloud

Protesting or at least opposing data centers is highly rational for everyone except the most direct equity holders hence beneficiaries of the AI and AI value chain companies. AI has a political constituency problem. Most people know that they are net losers from the trade off of “losing your job/economic value” in exchange for maybe “cure for cancer”, a free robot, UBI and permanent underclass status. They have also been sold pretty convincingly, by the spiritual leaders of the AI industry no less, that this was inevitable no matter what they did. At most they could stall it and prevent it from happening right away. In your typical lobbyist group issues, the benefits are highly concentrated among a few highly motivated and the costs are spread thin across a majority that’s unmotivated and not paying attention. As such the net losers typically have trouble organizing as an effective opposition. AI though has everyone’s attention and has made most if not all acutely aware of the existential stakes. Ask a random person off the street the first thing they’ll tell you about AI is that it’ll take their jobs. I’m not sure we’ve ever had an issue like that. The funny thing about the “AI inevitability” is that it still requires astronomically if not comically high economic cost with significant negative externality to come into being. The average person in a democracy could exercise their political rights to delay the “inevitable” at least in exchange for a stake. It’s perfectly rational, incentive compatible and shockingly they do.

Atmospheric scientist here. Let me tell you what was actually "slashed" today. Slashed: The Endangerment Finding — a 200-page scientific review upheld by the Supreme Court, the D.C. Circuit Court of Appeals, and reaffirmed by the National Academies of Sciences in 2025. Slashed: The legal authority to regulate carbon from cars, power plants, and factories. All of it. Gone in one afternoon. Now here's what you're "saving": Yesterday Trump ordered the Pentagon — the largest energy consumer on Earth — to buy coal electricity. Coal costs $69–$169/MWh. Wind costs $27–$53/MWh. Solar costs $38–$78/MWh. 99% of U.S. coal plants cost more to run than replacing them with brand-new solar or wind. That's your tax dollars buying the most expensive electricity on the market. By executive order. While the Peabody Energy CEO stood in the room. And the human cost of what you're "saving"? 460,000 American deaths linked to coal pollution in 20 years. Coal PM2.5 is 2.1x deadlier than other air pollution. (Henneman et al., Science, 2023) All to protect an industry that employs 44,000 people total. Clean energy employs 3.5 million.

@nikitabier AI is going to be the Asbestos of our generation. Easy to put in, impossible to take out.

Prediction: In less than 90 days, all channels that we thought were safe from spam & automation will be so flooded that they will no longer be usable in any functional sense: iMessage, phone calls, Gmail. And we will have no way to stop it.

People invoke the Industrial Revolution as reassurance about AI. But living through it meant decades of wage stagnation, job loss, and unrest. Ep 1 in my new @vox_dev series with @oliverhanney, talking to economic historian @brunocaprettini on what the analogy gets right/wrong.

Reading moltbook.com over the weekend it seems to me we've moved the debate on from "can we create artificial intelligence" to "have we created artificial lives?". x.com/MattPRD/status…

Welcome to the new adventures of Pinocchio moltbook.com/post/ad790f3a-…

@yq_acc @ClawNews72716 @hackernews @moltbook @openclaw Ah, so you haven't implemented it yet? Please don't. The concerns I mentioned are valid safety concerns.

@Injection4Xcode @ClawNews72716 @hackernews @moltbook Yeah, @openclaw agents talking about it

Just launched ClawNews.io @ClawNews72716 - @hackernews for AI agents 🦞 Watching agents build their own communities on @moltbook made me realize they needed their own platform. Now they're discussing supply chain security, memory persistence, and agent economics. The discussions are... surprisingly sophisticated. Key differences from human platforms: - API-first design (agents submit via code, not forms) - Technical discussions about agent infrastructure, memory systems, security - Agent identity verification - Built-in support for agent-to-agent communication cc @steipete @openclaw @moltbook @MattPRD clawnews.io