which ones, and what is the mechanism to do it? from what I've seen of both linux and windows there is no good central way to toggle this efficiently, and evidently macs also leave it up to various applications to be well behaved.
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.
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.
Everyone should. The only way to balance corporate power is collective action by individuals, and sharing information is a requirement for that. Corporations can't get away with quite as much brazen sociopathy if their actions are transparent and reported without - or a different - spin.
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.
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.
AI Studio's system prompt does not seem to be persisted for future chats, so I guess it's likely just a prompt that the attached chat has limited ability to override?
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.
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.
