SalariedSlave

The claudism in such docs is so tiring. So many words, yet reading them feels like trying to fill a sieve with water.

That writing style is borderline incomprehensible.

I've recently seen this mentioned more and more, both on HN and on reddit. It seems these output patterns are getting worse. It's not just Claude, my impression is that all of the current models have this style issue. Their writing can get borderline incomprehensible.

Is there some feedback loop or compounding happening with each model generation? Maybe newer models are ingesting too much AI content? If the ratio of AI generated content in training data is getting higher and higher (because the amount of AI generated content is increasing in general), maybe this is a compounding bias, poisoning the training?

Great work, thanks for sharing!

The design is really impressive. Beautiful and dense, yet very understandable. How did you come up with this particular design? It's really nice and everything fits, the colors, the layout, all of it.

Were you inspired by anything in particular? I feel like this reminds me of something, but I don't remember what exactly.

Exactly. As a lifelong linux user, I bought a Neo on release for my SO and was blown away by the quality at that price point.

I've had high-end laptops from all the big vendors, and even at the highest price tier, other vendors don't deliver such build quality. I hate how all non-Apple laptops feel. The case, the hinge, the materials, everything. If I coud reliably use linux on Apple hardware, I'd never buy another laptop brand again.

we should automate this

A hyperbole born of frustration, I admit.

Qualify it to software, rather than all tech, if you will.

Competing and innovating in the fast moving SOTA end of the llm space requires a ruthless disregard for copyright, IP, bureaucracies, formalities, risk assurances and other slowdowns. It requires a risk tolerant, quick and large flowing investment of capital. It requires a scoped focus that is pragmatic and sharp about key concerns, and efficiently dismissive of meaningless details.

Europe can provide none of this. They will never be at the frontier of AI tech, for the same reason they were never at the frontier of any tech.

I say this as a software engineer from Europe.

Does it? Market looks like it'll be harder for consumers to get such hardware for the time being. A RTX 6000 might appeciate, instead of depreciate.

many development communities are active on Discord. if you want to follow or contribute to OSS, you'll need to join their Discords.

this is a big problem - if individuals switch to something else, they will lose access to popular Discord communities.

not sure what solution there is for this, as it's unrealistic that all communities would switch to the same alternative (if at all)

there are operating systems where this is not hard at all.

Would you be willing to share an example setup?

Sounds very interesting - I've been using just & docker (-compose) to manage my monorepo projects after a short frustrating stint with moon&proto. I like the simplicity of just, but onboarding can still be cumbersome, especially across platforms.

What were the bugs? How were they fixed?

How do we know this is even what really happened? There was a big wave of complaints on Reddit about Claude's output quality, and reports of subscription cancellations piled up.

Many people suspect some form of load optimization and/or quantized models, or other cost-optimization strategies that were applied as the cause for degradation in intelligence.

Seems like the complaints became loud enough for Anthropic to bother looking into it. But with zero transparency, zero additional info around the issue, it's hard to trust Anthropic not to continue to silently optimize for cost.

Why pay $200 a month if your "productivity boost" can randomly turn into lobotomized output overnight?

Anybody remember active learning? I'm old, and ML was much different back then, but this reminds me of grueling annotation work I had to do.

On a different note: is it just me or are some parts of this article oddly written? The sentence structure and phrasing read as confusing - which I find ironic, given the context.

Publishing anything about it, regardless of content, is already a hill.

I like that people blog about these experiences and enjoy the insights, but I think it's never good for the authors..

The paper's core idea isn’t that all cells that use mitochondria need sleep, but rather:

> In a specific subset of sleep-inducing neurons, mitochondrial electron leak builds up when energy is available but underused during neuronal inactivity. That mismatch acts as a sleep signal.

The heart doesn’t fall into that subset.

I'd be interested to see, what results one would get, using that prompt with other models. Is there much more to ChatGPT Study Mode than a specific system prompt? Although I am not a student, I have used similar prompts to dive into topics I wish to learn, with I feel, positive results indeed. I shall give this a go with a few models.

The "web" is already just business infrastructure. It already was, much prior to AI. I would challenge the assumption that there is anything worth saving.

So the count includes forks?

Would be interesting to know the billionth non-fork source repo.

Behavioural patterns are heavily influenced by hormonal balance and as such, success-rates of different self-help strategies (diets, fasting, resistance and/or endurance training) are highly individual. This also extends to addictive behaviours.

"Hormon-typical" individuals have an easier time shaping their behavior because they don't face imbalances that complicate adherence. For them, sticking to a program is trivial. Combine that with lack of reflection, and many of these individuals delude themselves into thinking their success of following simple programs (which are simple in design, and only difficult in adherence) is somehow an accomplishment worthy of note. Low-empathy individuals, in particular, often interpret this as evidence of their own superiority, while dismissing others as mediocre.

So you see such comments a lot, because many people are "hormon-typical" and also low empathy. See any discussion about diet, fitness, Ozempic, etc.

How much of your time do you spend in writing for your blog? Do you do this full time or is it more of a side gig?

Your shout that "more people should do this" is resonating with me - I have some interest in similar short form posts covering various topics of interest (even if only for my own reference), but I am not sure if I can manage this on the side.

I'm curious about the time required for this volume of content output. Do you use AI to help with writing?

The golden age that lasted all of a few months?

>Some of these students are dishonest. Many aren't. Many genuinely believe the work they submit is their own, that they really did do the work, and that they're learning the languages. It isn't, they didn't, and they aren't.

People are quite poor at this kind of attribution, especially when they're already cognitively overloaded. They forget sources. They mistake others' ideas for their own.

This attitude is common not only among students, in my experience many people behave this way.

I also see some parallels to LLM hallucinations..

fandom is one shitty website. jesus christ, trying to look at this on mobile is absolute fucking torture

What about https://syself.com/ ? Haven't used it yet, but I read about in on HN and bookmarked it for future reference..

Yes, Jelly phone seems decent, though I'm not a fan of the "rugged" design. I liked the Palm Phone, great concept. But they don't make them anymore.

I'm on a Zenfone 9 and longing for something smaller.

now if only I had a small android phone I could install this app on...