Am I right in thinking that's a separate allowance? That's pretty cool if so

Having said that, some people choose that path anyway, and sometimes they actually end up mastering the field from the bottom up in a completely new way that no one else would ever think to do.

I say this on the off-chance someone reading this is one of those people. But yeah, I'm not gonna try grow from 5'7 to 6'4 or sprint faster than Usain Bolt. But more power to anyone who tries!

But if you do want to be happy, you can find stories, if you look hard and long enough, of "outliers". People who, against all odds, defied "statistics" and broke out of whatever expectations society and "facts" projected onto them.

I tried "everything" until age ~27 when I finally found one dial (very specific elimination diet) that made the rest of my body act mostly normally. Other changes were easier to make from that point onwards, altho there's a lot of damage to undo still. Diet is just one factor, for others it could be completely different.

My point is - I thought I would never be healthy. This stuff runs in my family too. But I just kept trying things. There's no other option.

You are a unique human being and soul who has something valuable to contribute to this world. Even if that's being unhappy.

Hope that doesn't sound condescending, it's something I tell myself too.

Comments URL: https://news.ycombinator.com/item?id=45705084

Points: 55

# Comments: 103

https://suno.com/song/5be7dd78-8af8-40a4-bb79-9dd5a9e8b71b https://suno.com/song/24f88c40-8459-4f67-8d51-30298d6b9d00 https://suno.com/song/b0c6f4a6-4523-4b39-bbbd-24a0d39a8b6c

Much like those of us hammering away at LLMs who eventually get incredible results through persistence, people are doing the same with these other AI tools, creating in an entirely new way.

I'm sure Suno are working hard on this and these AI tools can only come together as fast as we can figure out the UX for all this stuff, but I'm holding out for when I can guide the music with specific melodies using voice or midi.

For "conventional" musicians, we (or at least I) would love to have that level of control. Often we know exactly what it should sound like, but might not have session musicians or expensive VSTs (or patience) on hand to get exactly the sound we want. Currently we make do with what we have - but this tech could allow many to take their existing productions to the next level.

I have extreme intolerance to boredom. I can't do the same job twice. Some people don't care.

This pain has caused me to become incredibly effective with LLMs because I'm always looking for an easier way to do anything.

If you keep hammering away at a problem - i.e. how to code with LLMs - you tend to become dramatically better at other people who don't do that.

LLMs, particularly Claude 4 and now GPT-5 are fantastic at working through these todo lists of tiny details. Perfectionism + ADHD not a fun combo, but it's way more bearable. It will only get better.

We have a huge moat in front of us of ever-more interesting tasks as LLMs race to pick up the pieces. I've never been more excited about the future of tech

Most people would guess it threatens their identity. Sensitive intellectuals who found a way to feel safe by acquiring deep domain-specific expertise suddenly feel vulnerable.

In addition, a programmer's job, on the whole, has always been something like modelling the world in a predictable way so as to minimise surprise.

When things change at this rate/scale, it also goes against deep rooted feelings about the way things should work (they shouldn't change!)

Change forces all of us to continually adapt and to not rest on our laurels. Laziness is totally understandable, as is the resulting anger, but there's no running away from entropy :}

If we model "situations" in AI in a similar way, my intuition tells me it would be similarly useful.

Use vector embeddings to represent each task as a story, an abstraction of 1. the past, 2. the present, 3. the future - on a kind of global "story map".

Each embedding would be generated by all available sense inputs at a point in time. The most useful embeddings alg will be able to combine sight, hearing, internal monologue, visual imagination etc into one point on a high-dimensional map.

At each time step, find the closest successful "memory" (based on embedding of 1+2+3) and do some LLM exploration to adapt the memory to the new, novel situation.

Attempt the new "story", and do something like A* to get closer to the desired "future", tweaking the story each time and plotting failed attempts on the embedding map.

Theory being that over time, the map will become populated with successful attempts and embedding will be able to abstract between similar situations based on 1+2+3.

I'm not the guy to implement it, and I imagine new models training with a "reasoning step" are doing a similar thing at training-time.

Comments URL: https://news.ycombinator.com/item?id=41879334

Points: 1

# Comments: 0

I'm not sure I believe that. Is human-like intelligence not valuable to you?

To say life with mental illness/disorders comes with its own major drawbacks is really an understatement. Amphetamines may well have harmful effects, but untreated mental illness/disorders can cause an incredible amount of damage, not just to the person affected but to those around them.

Many people, such as myself, seek treatment with medication after they've exhausted all other known options. There's only so long you can keep running on empty. I'm just happy to have something that works.

Higher-level UI paradigms, user flows that should be adhered to, features that don't work reliably, other bugs etc seem like they would have a much bigger impact than "these two border radiuses don't match".

I'm sure Apple places a much higher priority on these, and I'm not surprised you don't get much in the way of responses from them.