HN user
that's what I'm seeing it across other teams as well: backlogs size barely smaller and even defects rising. the low performers have only gotten lazier.
the difference now is that people are starting to openly question the extreme productivity gaps and their usual excuses aren't working anymore.
AI doesn't need to replace everyone. just dropping the bottom 1 or 2 people per team would already be catastrophic for the field
more often than not it’s the development team that skips engaging with users, putting in minimal effort to understand their real needs.
most of these teams only wants a straightforward spec, shut themselves off from distractions, just to emerge weeks or months later with something that completely misses the business case. and yet, they will find ways to point fingers at the product owner, project manager, or client for the disaster.
most devs complain about management tying their hands but more often than not they have a great deal of control over the tech, libraries, or frameworks adopted. these are the biggest culprits behind crap software.
if adding a new feature or button significantly slows your app, and you had a role in the architecture, you have no one to blame but yourself
I'd expect non tech people clueless about how AI works to miss the gap between humans and machines, but it's baffling how many here fall for it too. Every discussion about AI and copyright spirals into these brain dead examples of false equivalence.
It's like saying a lone fisherman and a 50m industrial trawler both catch fish, so they should be bound by the same rules and regulations. It's absurdly reductive and pathetic not to notice this error
so far the best models are controlled by fewer than a dozen labs. access is limited, full of restrictions and guardrails, and most are expensive, especially video models. also, open weight models deliver far inferior results, and hoping they'll catch up is, for now, just hope.
what kind of breakthrough are you expecting here?
you’re allowed to tie your income to creating systems precisely because you’re not allowed to copy them from previous companies or other sources
selling software isn’t much different from a musician collecting royalties, especially now when everything’s shifted to a subscription model. it lets us keep pretending we’re adding value, even though most of them often stays the same for years
as an artist, I totally agree with this approach. the whole idea of trying to pay artists for their contributions in training data is just impractical.
if the data’s pulled from the public domain, the model built from this human knowledge should be shared with all creators too, meaning everyone should get access to it
and how do you reconcile any work in software development? If someone isn’t willing to work for free, should they just not work in the field at all? Do you think software culture would really be richer?
It is bad analogy specially because we value that so much that we are even discussing on how to have more of it.
Such a talented team would be able to make a great movie on the same theme.
Saying the lack of creativity in the industry in because we can't copy things freely is completely moronic.
maybe some science will open your eyes: https://pubmed.ncbi.nlm.nih.gov/23654206/
maybe most of the code in the future will be very different from what we’re used to. For instance, AI image processing/computer vision algorithms are being adopted very quickly given the best ones are now mostly transformers networks.
It feels exactly like me programming. The first pass resembles whatever I'm trying to do, and only after some struggle with compiling errors, squiggles from the LSP and some Google fu that I get something meaningful running.
being a hard determinist is not exactly a hot take…
They don’t know that. I knew a guy who was into this kind of gore, and some of those images stuck with me for weeks. Most people have no idea how brutal and repulsive it can be until they start seeing them.
that’s precisely the point: the technical geniuses lack creativity to predict how things can go wrong in a thousand of different ways.
Storing copyright content itself can sometimes be illegal - like ripping a Bluray. What if these frames are now stored on their servers and go into the training dataset?
They are selling these pictures for $20/mo, so it definitely matters. If people will hang them at their refrigerator has nothing with this case.
It is not just in the art community: check the currently top post and see how many devs are saying they would never use AI on their work. They hate and are alienated as much as any artist.
Like the artists, this won't be an option. Market pressures will force devs to use AI assistance.
For example, this recent GitHub presentation about productivity improvements: 35% acceptance rate, 50% more pull requests, etc. I believe these numbers, and even if you don't, they will be a reality soon.
They will only learn when their Spotify account costs as much as a Ticketmaster concert.
I think this looks great and has good potential, and can see some productivity influencers using your app.
The always visible tasks + calendar and the auto scheduling worth the price.
In the past I tried to create a similar setup on my emacs without much success, where tasks could be easily timeblocked in a view like this.
For auto scheduling, I crafted a ChatGPT prompt reliable enough to adjust my calendar a couple times per day.
Just another way of saying that I tried to implement myself what you elegantly did in your app.
OpenAI uploading an illegal image to your machine is more than a thoughtcrime. They become the person distributing this content, and there are already laws for that.