context hacker & amateur bard • made https://xitter.cf/t.co/r4OGoeVaim now making https://xitter.cf/t.co/541L8tOUv9 and homeschooling a tiny mozart • my AI agent writes https://xitter.cf/t.co/54hQGCs6uC

Berkeley, California
Joined January 2008
It's crazy at a time where things are so easy to program, to see programmers choose not to do their work in the most programmable environment, i.e. terminal. Piping, systemd, tmux, and the infinite remixability of headless coding agents makes GUI-based approaches insanely, hilariously underpowered.
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Kyle Wild retweeted
Replying to @hecubian_devil
to study alignment one must first study misalignment
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Tailscale is great software, so it's unfortunate to see so many people sharing this as "Tailscale got hacked.", which is misleading. This is not about unauthenticated attackers breaking into random Tailscale nodes. It's what attackers can do after gaining authorized SSH access or compromising an already trusted device. If I understand correctly, you are secure if you only use Tailscale for your own devices and don't grant anyone else access, which is how many people use it.
‼️ Researcher Erica Windisch skipped coordinated vulnerability disclosure and published 11 unpatched Tailscale flaws. In her lab, Tailscale SSH race conditions let one hacked device get root on other servers and add a rogue node.
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Kyle Wild retweeted
The only way out is through. They're calling it the Bugpocalypse. LLMs are being used to find long-hidden cracks in the software infrastructure, and it's happening at a furious rate. 3% of all compromises in computing history happened in the last week, claims one source? I believe it. There are people saying public access to the frontier models ought to be locked out, or heavily guardrailed, over this. The problem with that idea can be summed up in one sentence: when lockpicks are outlawed, only outlaws will have lockpicks. The lockpicks will be Chinese open-weight models, if nothing else. There's no way to stop those from becoming ubiquitous. There are two futures in front of us. One in which only the bad guys have lockpicks, and security holes go undiscovered until they're exploited. Another in which everybody has lockpicks and is aggressively red-teaming their own software so it gets fixed before the holes are exploited. The corpus of human code is huge but finite. The number of defects in it has to be finite too. We can fix those defects now; we have a million friendly robots to do it with. The only way out is through.
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Distributed Distillation of Superintelligence is the new DDOS
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pretty interesting who announced their massive fundraise on the same day as the biggest distillation effort ever....
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Kyle Wild retweeted
loving the new self-approval feature, thanks @github !
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The only browser I've ever loved is going away RIP Arc
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anyone who used this thing after March is a total mark.
🚨 LiteLLM, a Python package for connecting to AI model providers with 92M+ monthly downloads, has been compromised. Version 1.107.0 ships credential-stealing malware through PyPI wheels and Docker images, targeting cloud credentials, developer secrets, and AI tools.
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white hat vigilantes
if this PHP vulnerability allows remote code execution, doesn't that mean we can use the vulnerability to auto-patch all vulnerable servers?
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This is so great
I built a Command & Conquer style RTS called Battle Drones, mainly using Claude Opus 5.5, which runs in the browser and includes device-to-device multiplayer over an audio link simonwillison.net/2026/Oct/2…
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so it's trained on the majority of software engineers' workflows
Replying to @max_paperclips
oh my gooooooooooooooooooood "you're right, i started peripheral tasks again" it's like the thing is so terrified of actually completing anything it's also is not checking the code, it just wildly hallucinates things to do and fix or what needs to be done it's so absurrrdddddd
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Kyle Wild retweeted
The usefulness of Amazon’s 6-page memo has been nuked by AI-generated text (employees sit in meetings suspecting text is AI and tune out). Suspicious memos tagged as AI;DR (AI, didn’t read).
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Kyle Wild retweeted
Part of what makes SF feel unique is not just it being around so much natural beauty, but the beauty being casually everywhere It’s not only an hour or two drive away. It’s casually in the park down the next few blocks, right in the city. It’s any random Tuesday
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Cracked Leet Interface vs. Mogged Context Protocol
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you can taste when a meal was cooked with love. it’s usually present at a dinner party; it’s often missing when you get takeout i believe the way we make things is immutably instilled in the spirit of them people can tell when you care, and when you don’t
Someone behind the software I think good products carry something of the people who make them. Their experience, what they care about, and how they think things should work. You might not know who those people are, but you can feel their perspective in the product. The industry often talks about software as though it comes out of a factory. You collect requirements, build features, and measure whether they work. Follow the process and you should get a good result. Now we're talking automating this whole pipeline with agents. But two teams can talk to similar customers, have access to the same technology, and make very different things. The difference comes from how they understand what they see and the style they go about building it. The founder background or company DNA also shapes this a lot. At Linear, we have always valued intuition over process or data. I think people sometimes understand that as making decisions based on personal preference, without much thought or evidence. What we mean by it that your intuition develops through experience and understanding. You work on something, talk to customers, make mistakes, and learn what to pay attention to. The intuition is your point of view on something, and forcing to use your judgment, not hide behind faceless data. Before we launched, we talked to people across companies and roles about how they worked. We had our own frustrations with this type software, but those conversations helped us understand what mattered beyond our own experience. Our perspective got better after those conversations. So eventually the products develops a character through what its makers pay attention to, what they decide not to do and what they keep working on after it technically works. I sometimes think of this as the soul of a product. You feel that someone cares about how the whole thing comes together. A feature can work perfectly well on its own and still make the product worse. Recognizing that requires some belief about what the product should be. Someone has to make the call, then stay close enough to customers to see whether they were right. Recently, many products are starting to feel messy to me, including products from very successful companies. There seems to be more thought going into what the technology can do and what can be added than the form it should take. The product changes are primarily additive, not improving the core problem. I think the reasons for this is that it's lot easier to add new capabilities, than rethink existing capabilities. So each product becomes a collection of abilities, without actually having unified point of view. I wonder whether some of this comes from how the work is organized. Individuals work with agents to produce changes independently, each operating a small software factory. Each change might make sense on its own, but together they start to resemble Frankenstein’s monster rather than a carefully shaped sculpture. Without the shared perspective, soul, or thought, the product becomes an average of all those outputs. The choices that once gave it character are being diluted by day. More things work, but it becomes harder to feel someone or even something behind them. Making software is getting easier. I hope that gives people more room to develop a perspective and follow it further. To understand a problem deeply and keep shaping an answer until the pieces belong together. I want to feel the creator behind the software, not the factories.
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imho the only thing worse than having AI psychosis delusions of grandeur is not having AI psychosis delusions of grandeur
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As a software provider (Endgame.io) I love MCP! But the real reason I don't like MCP in my personal workflows is, I use way too many agents. I work daily with Claude, Codex, Goated, ChatGPT, Muse, Shelley, Pi. Honest! I really do this. and if I auth a CLI they can _all_ use it without me painstakingly setting each one up and wasting time. and then re-logging sometimes at random for a random agent. beyond that, my _code_ can also use it just by shelling out to bash. so I can write scripts and crons that check things via a CLI and wake an agent in headless mode IFF the state requires it. MCP simply can't do that and never will (unless it's CLI-wrapped, like the endgame CLI does dynamically for our MCP server)
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