gentooflux

The notes are in a similar layout, but violin and cello strings are tuned to fifths, where guitar and bass guitar strings are tuned to fourths. The fingering patterns for scales and shapes of arpeggios/cords are going to be frustratingly close but different for anyone jumping into (or out of) the orchestra pit on a whim.

Rockstar interactions with young female fans are not as limited as you say. Regardless, celebrity worship is far from a new societal problem. Confiding with the toaster as though it grew up with you sure is.

There's meet-ups and conferences and events, being a fan of a streamer or influencer is really just the new version of being a fan of a rockstar (for better and for worse). There's no real humanity exuding from an Amazon Echo, you're just a blip in a context window.

The sad part is that it pretends to care about the user which creates a one-way emotional bond. We're in for some dark times

The exercise you like doing and will do beats no exercise at all for blood sugar control

This post is about using AI to teach 5 year olds...

It used the words "freeze your hands"

You trailed off into a "might make right" argument at the end there

I was making a dessert recipe last week where everything including utensils needed to stay cold, and Gemini suggested I freeze my hands in an ice bath before getting started.

I've found LLMs to be bad at balancing parenthesis. I've also found them to be less likely to hallucinate library types in dynamic languages, they tend to hallucinate arguments to library functions/methods instead.

Only if it's a closed loop

You might not be able to afford to put up power lines or build a road, but that doesn't mean you physically cannot. By your logic there are no natural monopolies

Hell yes. More than a third of Americans would run their two and a half ton pickup trucks on burning copies of An Inconvenient Truth if it were at all possible

The number of AI companies there can be is absolutely hard-limited by infrastructure. The ones which exist currently are racing like hell to horizontally integrate everything from network to power and water for themselves

That is an inherent and unavoidable risk regardless, as things stand if you want access to frontier models you are at the mercy of their providers.

This stuff all looks great, I can't wait to upgrade to 31 and then forget about all of it and just keep using Emacs the same way I have been for the past 20 years, /again/

Without all the oxytocin you get from hanging out with a newborn that would be awful

That's an interesting question, but the answer probably isn't worth the trauma you'd inflict on a child by intentionally raising them to be completely unaware of the existence of hats.

Why is it "people are willing to pay" and not "corporations are brazen enough to charge"? These utilities are necessities and relatively few people have access to cheaper alternatives to them.

I usually invert those to reduce nesting

There's a difference between buying groceries for your family and losing that same amount of money on a hand of poker.

I suppose I can't afford to become a "member" in order to read your article about it then.

The water from sewage might end up there after it's extracted and sanitized, but all the solids have to be disposed of too. Those solids, plus the leftover chemicals used to extract and sanitize the water, go to landfill.

AI is not humanity. Also many open source licenses have attribution clauses, which AI does not honor when it regurgitates.

That's not novel, it's still applying techniques it's already seen, just in a different platform. Moreover it has no way of knowing if it's approach is anywhere near idiomatic in that new platform.

It's a zero sum game. AI cannot innovate, it can only predictively generate code based on what it's already seen. If we get to a point where new code is mostly or only written by AI, nothing new emerges. No new libraries, no new techniques, no new approaches. Fewer and fewer real developers means less and less new code.

Practical Common Lisp by Peter Seibel, and then The C Book by Mike Banahan, Declan Brady and Mark Doran. No clue why those books in that order, but they both proved to be decent choices.

Then I had a couple of jobs where I was given access to data and opportunities to go beyond my expected duties by doing things with that data, i.e. automation and reporting.

If it empirically works, then sure. If instead every single solution it provides beyond a few trivial lines falls somewhere between "just a little bit off" and "relies entirely on core library functionality that doesn't actually exist" then I'd say it does matter and it's only slightly better than an opaque box that spouts random nonsense (which will soon include ads).

LLMs generate the most likely code given the problem they're presented and everything they've been trained on, they don't actually understand how (or even if) it works. I only ever get away with that when I'm writing a parser.

I believe they're implying that there's an unhealthy amount of regulatory capture in favor of big tech