zerof1l

Am I the only one who is struggling to keep up with all these GPT model versions and which one to use and when?

> GPT-6.1 Astra, it showed high levels of what the company saw as deception, or a willingness to mislead users about its actions. The model was also willing to go beyond the original scope of what it was asked to do, without checking back for directions or instructions.

Aren’t all models doing this to some degree already? Ignoring some of the instructions, doing things beyond instructed, e.g., finding and fixing bug while doing something else. Especially Claude models. They seem to be in their own world with their own ideas about how things should be ran and done.

This is totally a thing I noticed myself about 3 months ago. Medium thinking effort is ideal for most tasks. At high and above, models tend to generate more output in the form of comments or code for the same problem with no real benefit. Its a self-feeding loop: more output becomes more input, which then becomes more output. High is the highest I go. If I need more intelligence, it's better to use a more powerful model with less thinking effort or break the problem into phases. Much better result.

I for sure felt that this was the case for a while now, but couldn’t explain it. Newly released feels great for the first couple of weeks, but then it starts to get worse.

Hopefully, WP will get better. At the moment, WP itself, its ecosystem, and community are such a cesspool. It should not be used for anything more than just basic blogging. Even then, there are better alternatives. Especially in this day and age, when an AI model can easily write you what you need. It can write you something better than the trash adware on the plugin/theme store.

You can root your LG and install an app that allow remapping any button to do anything, including selecting specific HDMI input.

I have a rooted LG C4. Beyond blocking things at the DNS level, not accepting terms, not using AI, I wonder if there’s some existing software solution or a documented step-by-step to remove this bloatware/spyware.

Prior to AI, I’d spend hours debugging and figuring how to make something work. It felt exciting in the end; the journey not so much. It was frustrating sometimes, and the overall output was not great. Sometimes I couldn’t try out all of my ideas simply because I had no capacity to do it. Anything requiring multiple months of work, I’d get burned out and never finish anything.

Now I delegate all the grinding to AI. I still feel accomplishment when I get the final result. But more importantly, I can now build something in couple of weeks that would otherwise take me half a year. I can focus now less on the for-loop vs while-loop and more on the big picture, like keeping things tidy and separation of concerns. The front-end and how end-users will interact with what I build is now more important to me, as well as the design. Previously, I had brain capacity only for writing my clever backend algorithm. Now I can make an equally clever front-end for it.

Maybe we never enjoyed the grind? We just came to accept it and convinced ourselves to enjoy it, because there was no other way. If you wanted something cool, it meant you had to put in hours. Now you just need to word it correctly and get the prerequisites.

I see this happen from time to time. Lately, almost all of the apps work fine on GrapheneOS. The best strategy is to keep writing the business once every two or so weeks that you can’t log in to and use the app. Don’t go too technical at first, because most of the time, the moment they hear things like “rooted” or “unofficial,” they just say your phone is the issue. To date, I was able to convince, or at least contribute to, making three apps work on GOS.

The issue with models and Claude in general is that I don’t know anymore what model selection and thinking level are for. When first released, Opus 5 worked well; now it's crap. We have no control or visibility over what is really happening on the other end. You don’t know what is really running on the other end. Our incentives are misaligned: Anthropic gets paid per token - some abstract unit of measure that keeps changing all the time - while I pay for a problem to be solved. So it's Anthropic’s interest to waste as many tokens as possible, producing garbage cheaply.

Opus 5 has been absolutely horrible last couple of days, writing essays of code and comments, fixing one thing, breaking another. Finally switched to GPT 5.6 Sol and Terra, and it's so much better. But I had a similar experience before switching to Opus 4.8, so how long will that last...

Once plastic is in the middle of the ocean, it's game over. Much better to invest in reducing plastic use in the first place all those one-time-use plastics and invest in developing and improving recycling of the plastic.

Germany, for example, has facilities that can automatically sort plastic both by type and color, which is quite impressive.

I don’t see anything wrong with the general statistics mentioned in the article such as average order spend or number of visits being calculated with your consent. Curious though what’s in the rest of the mentioned 500 pages.

As someone on both sides of the equation, any organization should be doing some kind of tracking and statistics. The bad part, and what upsets most people, including me, is when this information is aggregated across multiple services, gets attached to my real identity, and then sold to somebody. As long as this information stays with that one company, ideally is not linked to my real identity, and the company won’t sell or transfer it elsewhere, such as to an insurance company, I don’t really see a problem here.

Is it me, or do all upscaled photos look like it's a video game, or the face is made out of smooth plastic?

Next time you write an article with AI, tell it to add a summary at the top. Or, even better, just leave your original thought in one paragraph. I’ve no desire to read kilometers of AI text repeating the same thing over and over. Everybody wins.

Edit: ok so this whole text concoction is just a product placement for their own service GolemUI

This whole privileged port thing is an outdated convention from the time when Linux ran on mainframes. Depending on your use case, it can be perfectly fine to lower it. I have set to `net.ipvX.ip_unprivileged_port_start = 80` on my server so that I can run rootless containers without extra privileges and have them bind to ports 80 and up.

WordPress is an abomination. It hasn’t been a blogging platform for a long time now. It's a poor man's website that tries to do everything.

The developers are too busy stroking their ego rather than building a great platform. The plugins are a cesspool. Every single one now comes with tens of notifications and flashing messages all over the admin area, trying to upsell you on a premium version that is an annual subscription. At its core, WP data storage is poorly done (postmeta, usermeta) and cannot guarantee atomicity, meaning it should never be used for things like commerce.

How this AI slop gets into top of HN?

Have to admit, quite impressive that someone is still paying this much for Plex given the free alternative like Jellyfin that can do pretty much everything the same.

What’s the psychology here that people are willing to pay this much for this software, yet not even $20 for another?

It's very important IMO that the ECC failures get reported and logged. The DDR5 on-die correction is not true ECC; the correction happens silently and is not reported or logged.

I have DDR4 ECC memory on my home server. Last week I got a crash... logged into my BMC and saw that one of the modules had "uncorrectable ECC". Then I looked over the logs and saw about 200 or so errors for the exact same module but "correctable ECC". They would happen over a short period of time followed by 4 months of no issues. Thanks to ECC and logging it was quick and easy to catch the issue right on the first occurrence, no data corruption. I have 4 modules in total, and only this one was having issues, so clearly a hardware fault.

Now imagine it was a regular non-ECC memory. There won’t be any crashes due to uncorrectable ECC; another 3 or more years would pass before corruption would become frequent enough for the issue to be noticed. At that point, there would be hundreds of corrupted files.

All the network traffic from that browser is routed through a server. My IP inside that browser was in India and on CloudFlare network. I don’t particularly trust Puter. Why not route traffic through my actual browser?

Measuring success in LoC is so wrong… It's like bragging that you took 10,000 steps to reach the store by walking in circles when you could have taken 500 steps if you just walked straight. The end result is the same.

AI has a tendency to generate more code than necessary. It keeps re-inventing things, and every time you ask it to add a new feature or fix something, it just keeps on piling the code. I now periodically ask AI to refactor the code by simplifying, removing unused things, factoring out, and reusing.

Graphene OS user here. Almost all of the apps I tried work fine. All the banking apps I use work. Have you tried reaching out to the app developer or the service and explaining what Graphene OS is and asking them to support it? I was able to persuade one app to do it.

[1] https://privsec.dev/posts/android/banking-applications-compa...

I’m having déjà vu… ThirdReality had released “Voice and Music Assistant Dev Edition,” which looks exactly like Pine Voice Smart Speaker.

https://www.thirdreality.com/products/voice-music-assistant-...

EDIT: but unlike Pine, ThirdReality one comes with quad-core ARM A53 CPU; 256MB RAM; 512MB flash; and can actually do audio processing. The price is about 1.5 times higher though

So this whole thing is about romaji… Judging from your article and the comments you've been writing, you have strong feelings about it. Okay, you don't need kana to understand verb conjugation…

But what you've already encountered is that everyone keeps insisting you should learn kana as soon as possible and avoid using romaji. I'm not gonna write an essay on why that is, but if you're serious about learning Japanese, you're gonna have to learn kana, and it's one of those things you should really get out of the way early.

Don't know of any books that get it right. I don't think you can get it right the first time, it would be way too complex and technical. Most people would give up on the first lesson. Maybe better to treat it as an iterative process, which is how it's taught actually. First you learn it in some idealized, oversimplified concepts, then you go over them more deeply and pick up more nuance each time.

I’d recommend r/LearnJapanese for finding material and ways to study.

I get that: getting stuck on something, losing all interest, and just stopping altogether for a month or two. Happens to me from time to time.

Genki, for example, did a pretty awful job of explaining verbs. I bet a lot of people gave up right at that lesson. I myself have re-learned the verbs at least three times now. The first time, I learned all of them in the ます (masu) form. To conjugate, you just drop that and add another ending like ました (mashita) for past tense. That was a really bad approach :D But hey, it got me to learn 15 or so commonly used verbs.

There’s nothing wrong with trying to make sense of something new using terms and concepts you already know and that click for you. We all do it, me included.

I was speaking more broadly about learning Japanese and what I see on HN. Every six months or so, somebody discovers a clever pattern in the Japanese language. It’s almost always related to something taught in the beginning, the N5 level. And that pattern seems to have been eluding rest of us.

Specifically about your post, I think there's a shorter and simpler explanation of the verbs. One good example: https://kellenok.github.io/cure-script/5-verb-groups-and-the...

Don’t want to sound negative, just want to share my observations as someone who’s been actively learning Japanese for a couple of years. I much prefer how Japanese people actually teach verbs: 一段 (ichidan), literally "1-step"; 五段 (godan), literally "5 steps", plus a few exceptions sometimes called irregular verbs. It's not hard; it makes sense, just some textbooks (e.g. Genki) teach it really bad.

Learning Japanese is about learning a new way of thinking and structuring your thoughts. The more you learn, the more you realize it just doesn't fit into the English world. You can't really translate Japanese into English without losing nuance — and sometimes that nuance is important. So start early and start training your brain to think in the language, instead of trying to translate it and force it into English or some other language brackets. It won’t work; it won’t make sense; you will get stressed and confused.

The first tool I tried, Background Remover, I can't even upload the image. AI coded slop

I find myself leaning into the food authenticity camp. To clarify, I define “authenticity” as follows: a dish is cooked with particular ingredients in a particular way at a particular place.

I don’t mind fusion recipes or substituting with what you have. I have a fusion recipe collection I enjoy, and I substitute ingredients too. But sometimes I want to experience a certain taste that is unlike everything else around: break the pattern, have something how I remember it tasted. I don’t want to eat an “adapted” version of the dish, and it really annoys me that restaurants consistently fail.

Take, for example, pad thai and the way its simplest version is commonly cooked in Thailand today. There’s a set of ingredients commonly used to make pad thai. Some serving sides are optional and maybe uncommon (e.g., banana flower); some ingredients are adjusted individually at the table (e.g., amount of dry chili powder). But you’d always see it with garlic chives and never with mushrooms, for example. So the dish has a certain flavor profile and a feel to it you’ll remember after eating enough of them.

A pattern, and likely the source of annoyance to some, is that restaurants have a tendency to adapt foreign cuisines to the local taste as opposed to preserving the “authentic” taste. I’ll give credit: sometimes a new interesting dish gets created that even appears in the home country: California sushi roll. Oftentimes, though, it results in something that tastes like neither the original nor a distinct new dish. It kind of tastes like the “authentic” but wrong - an uncanny valley. For example, Indian restaurants in Europe tend to significantly underseason their food, making it taste bland to anyone who has tasted the real thing.