Cool. Makes me want to get into that — checking out sites for vulnerabilities. Very impressive for a 16 year old. Should definitely have been paid more.
In my opinion, the issue in AI is similar to the issue in self driving cars. I think the last “five percent” of functionality for agents etc. will be much, much more difficult to nail down for production use, just like snow weather and strange roads proved to be much more difficult for self-driving car technology rollout. They got to 95% and assumed they were nearing completion but it turned out there was even more work to be done to get to 100%. That’s kind of my take on all the AI hype. It’s going to take a lot more work to get the final five percent done.
First AI model to pass my test on the first try (I used o3-mini-high).
Prompt: Write an interpreter for a simple but practical scripting language. Write the interpreter in JavaScript to be run on the Node.JS platform. You can import any of the standard Node.JS modules.
Churned out ~750 lines and a sample source code file to run the interpreter on. Ran on the first try completely correctly.
Definitely a step up. Perhaps it's in the training data. I don't know. But no other model has ever produced an error-free and semantically correct program on the first try, and I don't think any ever managed to implement closures.
Whether it’s a journal, a university, a tech company… never take it personally because there’s bureaucracy, policies, etc and information lost in the operation of the whole process. Cast a wide net and believe in the value you’ve created or bring.
Could someone explain the point to me? I read the post and still don’t quite understand. I remember CRTs looked smoother when pixels were still noticeable in (o)led displays. Is it to effectively lower the frame rate?
Maybe if they stopped the endless reboots, remakes, sequels and derivatives. There’s still a good one every once in a while. Oh well, I know what movie I’m watching today… you’ll shoot your eye out, kid!
That’s very interesting. However it’s like any of the organizations that support competitors at elite levels in all sports. From the doctors, nutritionists, coaches that support Olympic athletes to the “high command” of any NFL team coordinating over headset with one another and the coach, who can even radio the quarterback on the field (don’t think there is another sport with this).
You’d think the ability to set up elaborate tricks would imply similar knowledge of the game. And also that highly skilled AI would implicitly include adversarial strategies. Interesting result.
It could be that it “assumed” you meant “from China”; in the higher level patterns it learns the imperfection of human writing and the approximate threshold at which mistakes are ignored vs addressed by training on conversations containing these types of mistakes; e.g Reddit. This is just a thought. Try saying: As an astronaut in Chinese territory; or as an astronaut on Chinese soil. Another test would be to prompt it to interpret everything literally as written.
There is SO much bloat in all the “modern” UI “culture”. Reinventing things over and over again. Creating entire frameworks for tiny, simple things. And the worst part of web UIs is that (though there have been efforts to address this) there is low regularity between the experiences especially compared to native UI apps where you are purposely restricted to a set of controls which look and behave the same across all apps that use them.
Also why companies dogfood and have internal betas for products (when this is possible; i.e., you’re not making something for enterprises or other kinds of customers). The sense of ownership you’re talking about may not be as direct but stake in success of the product is there.
That’s a good point. Perhaps the image and video sites will eventually blend into hosting both — and short form video as well naturally. YouTube and Instagram both have short form video features and my youtube feed already has images amongst other things like polls.
The resilient services are those that occupy a non-gimmicky niche. I’ll explain the difference between a real niche and a contrived or gimmicky one.
For example, YouTube is the video site. That’s its niche.
TikTok occupies a more gimmicky niche; short-form videos with a gazillion little features to make it more fun. People may (will) eventually get tired of it. The funny thing is they may move to a service with a very similar offering but with a different style and gimmicks.
The ones that don’t fill a niche at all are also less resilient following this thinking, though other factors like being utterly entrenched (facebook) may keep them around a long time.
Another site that fills a real niche well is Instagram. It’s the pictures site. It’s nice to just scroll and see pictures, though they’ve diversified with reels and video content (which may actually be a bad idea in the long run).
Another classic example of a gimmicky niche service was Vine, though I preferred that to TikTok (which I don’t use aside from having played with it for a week).
I’m not saying that non-niche services can’t last, but niche services definitely have inherent advantage for longevity because they fill a simple need and it’s hard or not constructive even for challengers to differentiate.
I got it to talk like a macho tough guy who even uses profanity and is actually frank and blunt to me. This is the chat I use for life advice. I just described the "character" it was to be, and told it to talk like that kind of character would talk. This chat started a few months ago so it may not even be possible anymore. I don't know what changes they've made.
Probably picked it up from the training data. That's how we all talk now-a-days. Walking on eggshells all the time. You have to assume your reader is a fragile counterpoint generating factory.
I think companies are moving too quickly with AI and LLMs in particular. I think that the data LLMs are trained on should be very well-known - not just sanitized and certainly not just trained on the "whole web". GPT-4 is unwieldy... it's incredibly powerful but is still unpredictable and has learned how many "bad patterns", so to speak, that we'll never know since its basically a giant black box.
The ChatGPT version is the least harmful in my opinion; sinister are the propagated problems when GPT is utilized under-the-hood as a component in services (such as Bing search).