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madelyn

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It honestly varies by game, but in my experience "Playable" is usually a great to okay experience but has small text, a launcher you need to use a touch screen for, or maybe only partial controller support.

Game breaking bugs are rare in playable titles from what I've seen.

The majority of games I play on SD are "only" playable and it's still a great experience.

I think this is where something like the reAct framework would be super helpful.

A human dungeon master doesn't pull a random enemy from the aether super well (or at least I don't!!). When I pick monsters I either logically think what makes sense for the area, pick something that's cool or vaguely humorous that I'm feeling the vibe of, or... use a random encounter table.

For treasure and rewards... if it's not something hand picked, I'm again getting the loot tables out and rolling. And heck even for gold rewards and things, I'm rolling the dice.

After trying basic stuff with langchain, an AI integrated with these types of tools is really promising. I think more systems on top could make it into a passable DM- at least until context becomes an issue.

This is FANTASTIC! There's a ton of naysayers here, but I'm going through songs and having a great time with this.

It seems most forms of EDM work great with this setup! One funny thing is for heavily remixed tracks, all the remixes pop up as suggestions. :)

I spent a few days working on using ChatGPT to write code. I've been meaning to write a blogpost about my experience, but here's my synopsis.

Where ChatGPT was best was when I wanted to do generic data structure work with common tools. Prompts like "make a Python class that stores keys in a redis sorted set, with the score as a timestamp, that removes members older than a configured time on access / insertion." I know how that code should work, I know what's correct- but it's nice being lazy and letting ChatGPT spit out a class for me I can clean up.

Anytime I want to do anything weird or nonstandard, ChatGPT is an uphill battle. Try asking it to write a convolution function without using Numpy (say you're using PyPy or AWS Lambda and C extensions are a no go). It will often insist you have to use Numpy- it argued with me at one point it wasn't possible without it! (This has gotten a bit better since, but was still quite interesting)

Working with pre-existing code, especially anything database related, was not worth the time spent at all. Terrible query plans, misinterpreting the schema that was provided, etc. I do love SQL though- I'm quite biased here.

It was interesting in that when it worked best, I needed to know what to ask for. I asked a good friend who started learning to code a few months ago to try it, and she was way less successful with it versus reading documentation.

Ultimately I think with tight text editor integration it will be great, but it's still going to require someone skilled and who knows what to ask for- at least for a couple years. As for how productive it's made me, I've stopped using it for anything except greenfield work with common libraries I already know how to use.

Sound is a lot higher fidelity, it's harder to make the information available to a computer without serious downsampling or simplification.

Consider sounds over 12khz. On a spectrogram during a chorus or drop that area is lit up, with so many things changing from millisecond to millisecond. A lot of AI samples really struggle at high frequencies, or even forgo them entirely.

Midi based approaches have been really great though, and an approach like in the OP is fascinating (and impressive).

In addition to the points brought up by other commenters, have you had vegan pizza or hot dogs?

Vegan hotdogs are honestly fine and good enough. Thinking back to when I ate meat, I'd rather have a vegan hotdog than a budget one made from who knows what.

And pizza and pasta are quite amendable to being vegan without substitutions if one wishes- don't add cheese and you're done?

Nice. Maybe PayPal will be able to close the account I've been unable to close for the past seven years (!!!) that they've still been emailing me about, despite contacting support multiple times to try to close it.

I'd actually quite like these.

I have fairly poor manual dexterity (I struggle to use a spoon sometimes!) due to tremors. Chopsticks are really, really hard to use for me, and "trainers" make them about on par with a fork or spoon for my situation. A solid piece of metal would be easier to clean.

Ship an entire physical PC to the user pre-loaded with the application?

A phone (hi iOS), a video game console, a smart appliance, etc. are examples of this.

Building cross platform, native applications is expensive (comparatively) to building web applications.

I made an FM synthesizer in the browser using WASM and the webaudio api just for personal use. I wouldn't have made it if I had to write it as a native app, because native apps are a time sink and annoyance to me (I mean, I'm on linux anyways. I probably have to use either GTK or QT anyways!!!)

Demand for software is MASSIVE right now, and making shipping easier, even if the end product isn't as fast, does have value.

Though yeah, I wish Slack was faster too.

Hey, first impressions- this looks great! I work in the space and know that HN can be quite rough for sms marketing tools. Couple quick questions:

How do you handle offer "staleness" if you're rotating through a set every so often? And additionally do you have tools that automatically remove unengaged numbers?

Is the long term plan to offer Boostly to larger businesses or chains?

100% agreed!

My first thoughts when I saw DALL-E were, "Wow, I can't wait to matte paint with this!"

A texture here, something robot like here, some technical or magical doodads there. Smash them all together and even use img2img to blend things, then do the finishing touches and lighting by hand. It's so nice for speed "painting".

As a programmer, it honestly reminds me of the situation with Copilot.

GitHub-Next 4 years ago

I ended up doing this for our python codebases at work.

The AST module was super handy as you'd expect. The script would optionally take some filters to reduce the size of the generated graph, and then it sent all the info to Graphiz (it emitted DOT, too, so it could be version controlled!!)

It was extremely fun, highly recommended.

I think my heuristic is Magic: the Gathering card artwork.

Can DALL-E make set defining breathtaking high res promo art, with fantastic composition, style and proportion? Maybe, but probably not as well as ex. Raymond Swanland right now.

Can DALL-E crank out the 50x lands and commons needed for the set? Almost certainly.

Superstar artists will be fine but I fear the bottom will fall out of the craft.

I feel that if more interviews involved this sort of algorithm instead of the ultra-niche / only situationally useful, there would be way less opposition and much more signal.

At work, I have written and then used a bunch of these in production, just for the narrow scope of things I work on. Might be indicative of me being in a bubble though.

Please, ask me to make a bloom filter or show how consistent hashing enables sharding! I'll pass on yet another "Implement String.reverse()"

Artificial hearts already exist. But they usually are only used while waiting for transplants, because they're not as good as the real deal.

Hearts are critical infrastructure in the body, with 100% uptime requirements and not-insignificant energy consumption.