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My personal insight on this: toy projects are fun not because they're small in scope, but because there's no downside to failure.

Production/professional software has significant downsides when they fail (customer unhappiness, professional performance and incentives, etc).

It's also why toy projects open up very innovative pathways. You tend to not be conservative with them, and once in a while something amazing ends up working. Bringing this non-conservativeness to professional software is a skill once developed makes your growth shoot up.


I'd made a prediction/bet a month ago, predicting 6 months to a full 90 minute movie by someone sitting on their computer. [0]

The pace is so crazy that was an over estimation! I'll probably get done in 2. Wild times.

0: https://www.linkedin.com/feed/update/urn:li:activity:7317975...


It's doable now. Someone just needs to do it. With voice now it's completely doable. Just throw it all together add some effects and you've got a great movie... In theory


It's not a theory, at Cannes a feature movie has premiered that is generated entirely by AI. Made in Spain.


It's a great movie in theory. Idk how good the movie you mentioned is


can you share a link/details, please?



There's still a lot of work to be done. It's good at making short individual scenes but when you start trying to string them together the wheels start to come off a lot. This [0] pretty basic police raid leads to shootout video for example turns to mush pretty quick because even in the initial car ride the interior of the car's size and shape warps pretty drastically.

Feels like there's going to be a dichotomy where the individual visuals look pretty good taken by themselves but the story told by those shots will still be mushy AI slop for a while. I've seen this kind of mushy consistency hold up over the generations so far, it seems very difficult to remove becasue it relies on more context than just previous images and text descriptions to manage.

[0] https://www.reddit.com/r/ChatGPT/comments/1kru6jb/this_video...


Also, would it bring more to table on the web compared to svgedit?

https://svgedit.netlify.app/editor/index.html

https://github.com/SVG-Edit/svgedit


Chrome Devtools (and firebug) are classic, well thought out dense interfaces. so are VSCode, Jetbrains IDEs.


Key truth: Parents, on average, request for this. They hold the school/university (not their wards) accountable for anything that happens to their wards.

There are forward thinking universities/academicians as well. Here's an article by an academician: https://www.deccanherald.com/opinion/india-s-universities-li...

(We run 25+ UG programs in India. If someone would like to engage deeper on this with ideas on how we can improve, pls reach out)


Thanks for pointing this out. Indeed, there are Indian universities (including the one I went to) which do not do this.


Exactly how EC2 is different from Lambda from a user's perspective.


Under-rated, but probably the best serverless offering: Cloud run on GCP. Pay like for a VM, but only for the time you're getting/serving requests.

(IMO, if it can get a fly.io like command line experience, it will thrive more.)


I read Claude's "Sci-Fi First Contact — First Contact " entry. It's pretty good (and with some editing can be great - some of the ending seems slightly unearned). Has a Ted Chiang/Arrival vibe to it, is a very good first contact story.

Most folks here are communicating things without engaging with the content. We need a the Turing test for creative writing. I'd definitely not have guessed this was LLM written - seems like an experienced hand wrote it.


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We recently formalized our AI Agentic workflows, vector-db/RAGs, finetuning, and building out rapid prototypes at scale. Interested in this challenge? Reach out.

We're a team of deep technophiles, who are passionate about the transformation of education happening. We're partnered with over 2 dozen universities in India, and expanding overseas this year, growing 4-5X, year on year. And we've done all of this in a bootstrapped, default alive way.

This role would be one-off senior roles, working closely with head of engineer, and the co-founders in exploring and extending the edges of GenAI across industries. Please send me an email note via my first name @kalvium.com if this sounds like something you'd like to take on, with evidence of work you've done with GenAI.


One non-cynical take on why modern software is slow, and not containing optimizations such as these: The standardization/optimization hypothesis.

If something is/has become a standard, then optimization takes over. You want to be fastest and meet all of the standard's tests. Doom is similarly now a standard game to port to any new CPU, toaster, whatever. Similarly email protocol, or a browser standard (WebRTC, Quic, etc).

The reason your latest web app/ electron app is not fast is that it is exploratory. It's updated everyday to meet new user needs, and fast-enough-to-not-get-in-the-way is all that's needed performance wise. Hence we see very fast IRC apps, but slack and teams will always be slow.


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