rubslopes

Yes. I have several subscriptions for cost saving and I'm all the time swapping models according to the cost/benefit necessary for the task at hand.

OP is using the expression correctly.

> Ocham's razor(...) is the problem-solving principle that recommends searching for explanations constructed with the smallest possible set of elements.

> Popularly, the principle is sometimes paraphrased as "of two competing theories, the simpler explanation of an entity is to be preferred".

https://en.wikipedia.org/wiki/Occam%27s_razor

> RL it to oblivion.

What would that mean in this context?

There's also a third way that can spend the most tokens: if the AI is used as part of the product, and not just a tool to build the product.

I'm glad to see that GPT Sol beats Opus at least in Mathematical Sciences, because that's my need right now, and I much prefer GPT's prose style.

For me, there are two reasons: it’s what my work provides, and for some tasks, I want the absolute best model for coding.

Having said that, I just subscribed to ChatGPT yesterday, as I've become impatient with Claude for a text-dense project I'm working on.

That's the problem for me: "semantically dense". Sometimes a single paragraph is filled with several of this expression, one after the other, and there's a real mental effort to get what Claude is saying.

So it should be called weekends?

Apparently, they use "own" in the same misleading way that digital media providers use "buy", but later remove the purchased content from my library.

It's named "yours" at the time of payment, but actually only a license to use under certain conditions.

I've never used Grok, but I'm very dissatisfied with the writing style of frontier models from OpenAI and Anthropic. I only use them for coding now.

ChatGPT is very long-winded, sometimes producing multiple bullet point lists for a simple answer. Claude is full of mannerisms: 'not merely x, but y', 'Here's where it gets interesting', 'the real question is', etc.

> I'm fine with people who like going to an office, I just prefer not to. I wouldn't want to force everyone to work from home though.

Im not anti-social, but I'm an introvert with some very extrovert friends. I find interesting that we, introverts, "get" extroverts; I have no problem understanding people who like begin around other people all day long, I'm just not that guy.

But extroverts don't get introverts at all! A sentence like "yeah, I enjoy being alone by myself" feels like alien talk to them.

When I started meditating, I actively tried to ignore my thoughts, which was exhausting. So when I couldn't, I'd engage and ruminate instead, which was just as tiring.

The approach that finally worked for me (and one I still use today, years later) I learned from a book by Adrian Wells called Metacognitive Therapy. It's not self-help, actually; it's a clinical manual for therapists, but I read it anyway. The idea, in my own words, is not to engage with the thought but simply to recognize it, almost like greeting it and saying goodbye in the same breath. A thought comes, and you say, "Hmm, okay, I just thought that. That was a thought. That's fine." And you move on.

Of course, the book goes much deeper than that, but this simple approach helped me enormously with rumination and anxiety around intrusive thoughts.

Yes! I always thought that, when unused, elevators should distribute themselves along the floors, weighted by the floors that use them the most.

I was also so annoyed by this. It makes communication all around difficult. Why don't they simply call it 4.1 flash?

I'm always puzzled how ordinary Wikipedia pages make the front page. There must be some rare planetary alignment that gets so many people to upvote something that is plain and ordinary.

To be clear, this isn't about azulejos specifically. I'm just talking about the pattern in general, whatever the topic.

Yeah, me too. He did it once on MI2, fine. But again and again? I just wish he could tell a complete story for once.

He repeated the same trope in Return to Monkey Island. At this point, I expect all of his endings to be abstract and meta. I don't like it...

Maybe my phrasing was confusing. I didn't mean that that was what happened, but the ideal approach to stop atomic bombs (at least in my view).

This reminds me of my favorite segment of the TV show Curb Your Enthusiasm: https://youtu.be/JqrJ4wGid4Y

They are selling it even cheaper than Moonshot AI. Why are you so sure they are lying?

If this is really the risk, then we should approach LLMs like atomic bombs: the US should reach out to other nations so they all agree on no one developing any more AI models. That's the only way you could possibly convince another party to stop. The US should set the example, not conveniently keep all the spoils.

This Onion meme is perfect; you could easily replace Sam with Dario: https://theonion.com/sam-altman-if-i-dont-end-the-world-some...

Yes, they did, which is unfortunate, as the game is very good in itself. They gave a nice twist to the formula.

Why? Price? If the reason is performance, I've been using non-frontier models for cheap, and they run great for my needs (GLM 5.2, DeepSeek v4 Pro).

Wow. Sci-fi stuff!

Same here, but I live in a developing country. I usually switch to international news (or tech news, or no news at all) because local news is mostly about murders and other terrible things. I have family in Portugal, and when I visited, I remember the local news being mostly about pastries and folklore events. I watched TV every day while I was there.

I've been using Zen since almost the beginning of the project. I'm pretty happy with it! Great QOL features, and being Firefox, I have perfect ad block and syncs nicely with Firefox for Android.

I was going back and forth between kimi k2.6 and deepseek v4 pro, but it's been 2 weeks that I've been using deepseek alone. It's very good and very cheap, I pay the opencode go $10 subscription and don't have to worry about quotas.

I've met some of the IT team of the city government of Rio de Janeiro years ago, before LLMs were a thing. They were already doing state-of-the-art data science projects. Glad to see how far they've gone.