HN user
Yes; I learned it that way as well but I was never able to write them smoothly or legibly. I consciously practiced cursive in adulthood and only then discovered the mirrored-c technique, which always looks right and flows far better. There are a lot of problems IMHO with the D'Nealian method that US pupils were prescribed, likely responsible for the huge backlash against cursive in general.
I figured the same, but I did not encounter such exercises, and regardless having the ability to send sysex to my MIDI devices is not required for such a thing.
This site insisted on having write access to my connected MIDI devices, which is a bit concerning as it's not required for what the site actually does.
This is rather moving the goalposts from "plausibly human comment" to "meaningful literature", I think
I've always kind of assumed in the industry when it comes to top 40 music this kind of thing has been in heavy use at big labels since at least the dawn of the millenium when Pro Tools also took off, it's just not been nearly as obvious.
The other replies have explained what's jumping out but I'd agree that without the other surrounding sentences of the article's introduction I'd be inclined to think that quoted sentence by itself might be human. The full text, however, doubles down on the AI-smelling constructions and IMHO almost certainly indicates some AI provenance.
I believe Poe's law makes it basically inescapable and HN is no exception to it
People have been talking about the book on here since it came out; I see no reason to believe people aren't genuinely interested in it. I loved it, personally.
In my experience, the Epic downloader would frequently lead to degraded performance and/or system instability when I'd leave it running; I've never noticed such problems at all with the Steam client.
I accidentally clicked through the explanatory text after the first slide (I was still clicking the pump and didn't realize one more click was going to skip through); I have not been able to get the applet to rewind back to the beginning.
The scare quotes around words that don't warrant it, or are unnecessarily idiosyncratic, are something I get pretty often in response text from Gemini.
I'm really surprised that didn't jump out at more people; I had to get halfway through the comments to the 27th mention of "Department of War" to find the first comment pointing out that using the name is itself a capitulation.
For me there seems to be a listing of configurable settings or something but it only pops up for a single frame after I right-click-drag a component - this seems like a broken mouse interaction.
I strongly suspect there's a major component of this type of experience being that people develop a way of talking to a particular LLM that's very efficient and works well for them with it, but is in many respects non-transferable to rival models. For instance, in my experience, OpenAI models are remarkably worse than Google models in basically any criterion I could imagine; however, I've spent most of my time using the Google ones and it's only during this time that the differences became apparent and, over time, much more pronounced. I would not be surprised at all to learn that people who chose to primarily use Anthropic or OpenAI models during that time had an exactly analogous experience that convinced them their model was the best.
While this is certainly very true, I find coding through an LLM to require far less effort dedicated to this cognitive switching than does writing in some programming language, primarily because I no longer have to load the mental context for converting my high level human instructions to code that a programming environment actually supports. The mental context seems more lightweight and closer to the way I think about the problem when I'm not sitting at the computer actively working on it. If an idea comes to me while I'm away from the computer I can momentarily sit down, type in whatever I just thought of, and get going almost immediately. I think it also saves a huge amount of cognitive load and stress (for me) involved with switching around between different programs and languages, an unfortunate fact of life when dealing with legacy systems.
I just kept scrolling, hoping it would learn from how long I paused over content to read it the way FB's seems to, but it seems you're right, in this case "likes" are required.
It's really a stretch for the article to suggest their gear might not have supported fractional bpm. MIDI itself has always supported it and analog sequencers before that support it even easier. Not to mention external clock sync has been a thing for decades.
All I can really say is that doesn't match my experience. If I fix something that it implemented due to a "misunderstanding" then it usually tends to break it again a few messages later. But I would be the first to say the use of these models is extremely subjective.
For me it just depends. If the response to my prompt shows the model misunderstood something, then I go back and retry the previous prompt again. Otherwise the "wrong ideas" that it comes up with persist in the context and seem to sabotage all future results. The most of this sort of coding I've done was in Google's AI studio, and I often do have a context that spans dozens of messages, but I always rewind if something goes off-track. Basically any time I'm about to make a difficult request, I clone the entire context/app to a new one so I can roll back [cleanly] whenever necessary.
Fair enough, but I was interpreting it as "hopefully, but not necessarily". Some would say there's no such thing as bad publicity!
By that metric of getting shared on social media, it was extraordinarily successful
"Open your mouth and say ah" "tot" "yacht" - these all have very close to the same vowel sound to me as an American, although "tot" is more of an outlier and "taught" might be closer to how I conceptualize of the sound. I'm not sure I'd ever hear the difference in practice.
I had no trouble getting it to generate an image of a five-legged dog first try, but I really was surprised at how badly it failed in telling me the number of legs when I asked it in a new context, showing it that image. It wrote a long defense of its reasoning and when pressed, made up demonstrably false excuses of why it might be getting the wrong answer while still maintaining the wrong answer.
This isn't using the same prompt or stack as the page from that post the other day; on aistudio it builds a web app across a few different files. It's still fairly concise but I don't think it's that much so.
Well, I tried a variation of a prompt I was messing with in Flash 2.5 the other day in a thread about AI-coded analog clock faces. Gemini Pro 3 Preview gave me a result far beyond what I saw with Flash 2.5, and got it right in a single shot.[0] I can't say I'm not impressed, even though it's a pretty constrained example.
Please generate an analog clock widget, synchronized to actual system time, with hands that update in real time and a second hand that ticks at least once per second. Make sure all the hour markings are visible and put some effort into making a modern, stylish clock face. Please pay attention to the correct alignment of the numbers, hour markings, and hands on the face.
[0] https://aistudio.google.com/app/prompts?state=%7B%22ids%22:%...
Please create a highly unusual 13-hour analog clock widget, synchronized to system time, with fully animated hands that move in real time, and not 12 but 13 hour markings - each will be spaced at not 5-minute intervals, but at 4-minute-37-second intervals. This makes room for all 13 hour markings. Please pay attention to the correct alignment of the 13 numbers and the 13 hour marks, as well as the alignment of the hands on the face.
This gave me a correct clock face on Gemini- after the model spent a lot of time thinking (and kind of thrashing in a loop for a while). The functionality isn't quite right, not that it entirely makes sense in the first place, but the face - at least in terms of the hour marks - looks OK to me.[0]
[0] https://aistudio.google.com/app/prompts?state=%7B%22ids%22:%...
Even Gemini Flash did really well for me[0] using two prompts - the initial query and one to fix the only error I could identify.
Please generate an analog clock widget, synchronized to actual system time, with hands that update in real time and a second hand that ticks at least once per second. Make sure all the hour markings are visible and put some effort into making a modern, stylish clock face.
Followed by:
Currently the hands are working perfectly but they're translated incorrectly making then uncentered. Can you ensure that each one is translated to the correct position on the clock face?
[0] https://aistudio.google.com/app/prompts?state=%7B%22ids%22:%...
Because if I don't, it tends to misinterpret the next thing I say because it reads that as an answer to the question it just asked me.
Gemini has been doing this to me for the past few weeks at the end of basically every single response now, and it often seems to result in the subsequent responses getting off track and lower quality as all these extra tangets start polluting the context. Not to mention how distracting it is as it throws off the reply I was already halfway in the middle of composing by the time I read it.
I've definitely noticed Gemini's tendency to return the image basically unchanged, but not noticed it being worse or better for images of people. When I tested by having it change aspects of a photo of me, I found it was far more likely to cooperate when I'd specify, for instance, "change the hair from long to short" rather than "Make the hair short" (the latter routinely failed completely).
It also helped to specify which other parts should not be changed, otherwise it was rather unpredictable about whether it would randomly change other aspects.