Just a dude learning things.
Riding the Wave 🌊
Joined August 2011
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My one and only political post ever:
America needs a 3+ party system. If you don't understand why forcing all ideas into 2 options (for/against) then also forcing 2 parties is bad for the system it's time to think about it. It's mechanically designed to separate, enrage, and balance a monopoly of power between 2 parties that are just in place to keep you busy and angry.
We will continue to get circle-jerked until the end of time without a serious 3rd or even 4th party where people are allowed to hold middle ground on issues.
It's interesting that the only thing that keeps me interested in the Mac ecosystem is tiny things like copy/paste between machines/phone, messaging on laptop, and CleanshotX.
It stopped being about the hardware a long time ago.
Actually incredible. Stick with it.
Funny, sad, different, and a fantastic POV on the pitfalls of modern marriage. If you're honest with yourself, you'll learn something useful too.
Actually genius.
有人发现了一种非常离谱的 JavaScript 混淆技术：通过在代码里塞入大量生物武器、毒药和致死剂量相关的函数名，让 AI 因为安全限制而拒绝分析代码。
安全研究员 veritas 在分析浏览器指纹脚本时，发现一段来自 ServicePipe 相关域名的 JavaScript，里面充斥着极其诡异的函数名：
computeRicinLethalDosageForWaterSupply
calculateDeadlyLethalSuicideAspirinDosage
光看名字，仿佛在研究生化武器。但实际上，这段代码只是在收集浏览器指纹，包括 User-Agent、GPU、Canvas 等信息。
研究员怀疑，这些名字是开发者故意设置的陷阱，专门用来阻止 AI 辅助逆向工程。
于是他做了个实验：
• Astra：拒绝分析
• Astra + Daybreak Blue：仍然拒绝
• GLM-5.3：成功分析
这就有意思了。
传统代码混淆是通过复杂控制流、加密字符串、无意义变量名，让人类和工具难以理解代码。
而这种新思路，直接瞄准了大模型的安全机制。
代码本身可能完全无害，但只要在函数名里塞进足够多的危险词汇，部分 AI 就可能主动放弃分析。
更讽刺的是，模型越严格遵守某些安全规则，面对这种混淆时反而可能越容易受到干扰。
当然，目前还没有证据证明开发者一定是故意这样设计，也不能说明这种方法对所有模型都有效。
但它揭示了一个值得关注的趋势：随着越来越多的逆向工程依赖 AI，未来的代码混淆技术可能不再只针对编译器、反编译器和人类研究员，还会专门针对大模型的安全判断机制。
以前是让代码难以理解，现在甚至可以尝试让 AI 不敢理解。
Lately I've been really interested in this idea of a "Creative Engineer". Which in my mind is a bit like a design engineer but more generalized.
Someone who's done the work to build up style/taste/etc whatever you want to call it but also has the skills to be able to build absolutely anything.
But it doesn't stop there, the building is just a part of it. I think a person like this could edit videos at 100x, create an ad campaign, code an API for others' agents, create interesting shaders and postprocessing. Well rounded enough to be put to any task and be able to put out fantastic work.
I realize this one person likely wouldn't be "world class" at all of these, or possibly even any of them. But, I see someone like this as incredibly valuable nonetheless.
I just want to make a good living doing things I love that also happen to help others.
Then I want to go into the studio and paint, into the gym, or into the garden.
Pretty simple.
I need a way to browse through long-form articles people have posted here. The X version of Medium might be decent actually.
Every one of these suggests a future digital world I want no part in. 🤢
My garden will be so badass.
The MOST obvious (but REALLY good) STARTUP ideas right now:
1. Zestimate for company data (what your data is worth to an AI lab)
2. Google Analytics for agents (see which agents visit your site and what they want)
3. Y Combinator for 1 person companies (back solo founders running a team of agents)
4. Okta for agents (who each agent is and what it's allowed to touch)
5. Marie Kondo for your company's data (clean it up so agents can use it)
6. FICO for agents (a trust score before an agent can spend money)
7. Geico for agents (insurance for when an agent makes an expensive mistake)
8. Datadog for agents (see every step your agents took)
9. Twilio for agents (phone numbers and texting for agents)
10. Upwork for agents (hire an agent for a job instead of a freelancer)
11. ESPN for AI (every model launch covered like a big game).
12. Shutterstock for robot training videos (get paid to film yourself doing chores)
13. Credit Karma for what AI knows about you (see it, fix it, delete it)
14. Norton for AI scams (protect your parents from fake voices and emails)
15. PayPal Buyer Protection for agent purchases (fixes it when your agent buys the wrong thing)
16. Geek Squad for AI (set up personal agents for families and small businesses)
17. Dell for private AI (AI in a box for firms that won't use the cloud)
18. Carfax for used GPUs (a health report before you buy secondhand)
19. Airbnb for idle GPUs (rent out computing power you're not using)
20. Rotten Tomatoes for AI models (real reviews instead of benchmarks)
21. G2 for skills (find the best skills for your agent)
22. Dropbox for your AI memory (take what your agent knows about you to any agent)
23. Canva for physical products (design it with AI and get it made)
24. ADT for your personal agent (alerts when your agent does something it shouldn't)
25. Hertz for robots (rent one for a move, a deep clean or an event)
26. Harvard Business School for internet businesses (a real education in building online)
27. Workday for agents (onboard, manage and offboard your digital workers)
28. Getty Images for your face and voice (license your likeness to AI safely)
29. Meta Muse for older adults (and other high LTV niche)
30. Google Ads for agents (pay to be what the agent recommends)
31. Loom for agents (a walkthrough of everything your agent did)
32. Plaid for agents (approved access to banks, airlines and stores)
33. Jiffy Lube for vibe coded apps (quick fixes when your AI built app breaks)
34. Ancestry for datasets (where your training data came from)
35. The organic label for human-made content (proof a person made it)
36. Strava for builders (track what you ship every week)
37. Honey that haggles for you (your agent negotiates the price)
38. SEM Rush for personal agent platforms (like Muse etc)
39. Frequent flyer miles for agents (loyalty programs built for agents)
So hilarious that a company that stole the whole internet doesn’t see the irony in getting someone arrested for audio scraping conferences.
We discovered a sophisticated recording device that was hidden inside one of our offices. We used our models to understand the device and where it had come from, identifying that a specific employee had planted it a few days earlier. We referred the matter to the FBI, and we’re grateful to the agents and prosecutors who moved quickly to make an arrest. The FBI’s investigation is ongoing and we will continue to support their work.
At this time, we have no indications of this individual inappropriately accessing or exfiltrating model weights, source code, or customer data. The employee was terminated.
We take protecting our technology, data, and people seriously, and as a matter of national importance. Our security program is designed to protect against a wide range of threat actors, from insider risks to cybercriminals to nation states, and this case is an example of how AI can help address these sophisticated security threats.
It used to be “starving artist”,
now it’s “artist or starve”.
Entire technological civilizations will learn this over the next 20 or so years.
I'm not convinced this is true yet, but I do know that if it becomes imminent you'll see a flurry of IPOs before as the VCs try to offload their bad debt to your 401k and IRAs.
This is one of the very few reasons I can ever see moving away from index funds as a "de-risk".
Mike Builds ◻️ retweeted
People ask me how to design posters all the time, and I always end up handing over a few basic tips. Then it hit me that no complete course teaches the thinking behind poster design. Most of them show you few examples in the software.
So I made one. It's called The Poster Manual.
I taught myself design, and posters taught me the most. This course is everything I learned from making them, written down for beginners and working designers who want to get better. It is text and visuals only, and it works in any software.
The best part is I built it a private dashboard. You log in, work through the chapters lesson by lesson, and download the bonus material whenever you need it.
The Poster Manual is coming soon.
