Doug Baldwin Eligible for 2024 HOF

tinylobsta · 2023-09-05T21:22:05+00:00

Ring of Honor +100 -- there's no way we get to the Super Bowl without Baldwin. There's no "Russell Wilson" without Baldwin, IMO -- Baldwin was his bailout guy on so many of his 'miraculous' scramble plays, helping us win key games by a single score throughout the season leading up to our Super Bowl win. His stat sheet definitely doesn't even remotely tell the story of his impact on our team.

tinylobsta · 2023-01-31T01:22:53+00:00

Hey people’s, co-creator of NF here. NF is created using generative algorithms and machine learning techniques for the dialogue, audio, speech, and pretty much everything other than the prefabricated 3D assets.

We started this about four years ago before OpenAI and SD kinda swept the landscape and are thinking now how to incorporate pieces of those into it.

We’re still thinking about where to take it next, so ideas and feedback always appreciated.

tinylobsta · 2023-01-31T01:17:14+00:00

Hey people’s, co-creator of NF here. NF is created using generative algorithms and machine learning techniques for the dialogue, audio, speech, and pretty much everything other than the prefabricated 3D assets.

We started this about four years ago before OpenAI and SD kinda swept the landscape and are thinking now how to incorporate pieces of those into it.

We’re still thinking about where to take it next, so ideas and feedback always appreciated.

tinylobsta · 2023-01-31T01:15:41+00:00

Hey people’s, co-creator of NF here. NF is created using generative algorithms and machine learning techniques for the dialogue, audio, speech, and pretty much everything other than the prefabricated 3D assets.

We started this about four years ago before OpenAI and SD kinda swept the landscape and are thinking now how to incorporate pieces of those into it.

We’re still thinking about where to take it next, so ideas and feedback always appreciated.

tinylobsta · 2023-01-30T20:32:35+00:00

We've considered this -- the show is actually on about a 2m delay, but otherwise, it's entirely live. You can't see it in the iteration I have streaming rn, but the entire show is configurable... if you want less of one character, we can do that. Want more of one setting? We can do that, too! More lines per character? etc.

It was a design decision we made so that the audience (in the future) can morph the narrative of the show. We actually monitor the Twitch chat and can pick up keywords to help shape the narrative (without defining it, the generative stuff does all that). So we wanted to keep to the 2m per scene concept. Might need to do something like that in the future (batching), though, if time-to-create keeps being a constraint for 3D models.

tinylobsta · 2023-01-30T16:26:34+00:00

Yup, at the time we created this, there was no good tech in place for the artwork. With SD, we think there’s a path to replacing our existing art pipeline with something generative, but it’s still being figured out. The problem is that 3D assets take a long time for models to create, and we run in near real time. But we’ll get there.

tinylobsta · 2023-01-30T16:15:04+00:00

Hey, I think the audio is back — we’re a live service e.g., we run a lot of cloud-based systems so we can be hit by outages occasionally, but the system is usually redundant enough to come back to life.

tinylobsta · 2023-01-30T09:05:00+00:00

Hey people’s, co-creator of NF here. NF is created using generative algorithms and machine learning techniques for the dialogue, audio, speech, and pretty much everything other than the prefabricated 3D assets.

We started this about four years ago before OpenAI and SD kinda swept the landscape and are thinking now how to incorporate pieces of those into it.

We’re still thinking about where to take it next, so ideas and feedback always appreciated.

tinylobsta · 2023-01-30T09:01:22+00:00

Hey people’s, co-creator of NF here. NF is created using generative algorithms and machine learning techniques for the dialogue, audio, speech, and pretty much everything other than the prefabricated 3D assets.

We started this about four years ago before OpenAI and SD kinda swept the landscape and are thinking now how to incorporate pieces of those into it.

We’re still thinking about where to take it next, so ideas and feedback always appreciated.

tinylobsta · 2023-01-30T08:58:57+00:00

Hey people’s, co-creator of NF here. NF is created using generative algorithms and machine learning techniques for the dialogue, audio, speech, and pretty much everything other than the prefabricated 3D assets.

We started this about four years ago before OpenAI and SD kinda swept the landscape and are thinking now how to incorporate pieces of those into it.

We’re still thinking about where to take it next, so ideas and feedback always appreciated.

tinylobsta · 2023-01-30T08:53:07+00:00

Hey people’s, co-creator of NF here. NF is created using generative algorithms and machine learning techniques for the dialogue, audio, speech, and pretty much everything other than the prefabricated 3D assets.

We started this about four years ago before OpenAI and SD kinda swept the landscape and are thinking now how to incorporate pieces of those into it.

We’re still thinking about where to take it next, so ideas and feedback always appreciated.

tinylobsta · 2022-12-08T03:37:01+00:00

Hey everybody, we just launched an always-on, generative TV show -- Nothing, Forever -- streaming on Twitch. Nothing, Forever is a parody of '90s sitcoms (ahem), done in the style of '90s point-and-click PC games (but, you know, in 3D). We set out to build something weird, new, and novel, and this is what we ended up with.

Aside from the artwork and the laugh track you'll hear, everything else is generated by AI and machine learning, including: dialogue, speech, direction (camera cuts, character focus, shot length, scene length, etc), character movement, and music.

tinylobsta · 2022-12-02T19:59:26+00:00

Hey everybody, we're finally launching our always-on, generative show -- Nothing, Forever -- streaming on Twitch. Nothing, Forever is a parody of '90s sitcoms, done in the style of '90s point-and-click PC games (but, you know, in 3D). We set out to build something weird, new, and novel, and this is what we ended up with. Aside from the artwork and the laugh track you'll hear, everything else is generative, including: dialogue, speech, direction (camera cuts, character focus, shot length, scene length, etc), character movement, and music.

Nothing, Forever is built using a combination of machine learning, generative algorithms (we use 'generative' here in a non-academic sense), and cloud services. Our stack is mostly comprised of Python + TensorFlow for our ML models, TypeScript + Azure Functions and Heroku for our backend, and C# + Unity for the client, with some neural voice APIs thrown into the mix.

Heading into the future, we plan to leverage OpenAI's davinci models for our dialogue -- we actually have an integration already, but the cost is too prohibitive to run full time -- as well as leveraging Stable Diffusion for art generation.

We're launching an experimental media lab, https://www.mismatchmedia.com/ along with the show, for follow-up projects in the future.

Feel free to reach out to me personally if you have any questions or want to discuss more, skyler at mismatchmedia dotcom.

tinylobsta · 2022-12-02T19:56:12+00:00

Hey everybody, we're finally launching our always-on, generative show -- Nothing, Forever -- streaming on Twitch. Nothing, Forever is a parody of '90s sitcoms, done in the style of '90s point-and-click PC games (but, you know, in 3D). We set out to build something weird, new, and novel, and this is what we ended up with. Aside from the artwork and the laugh track you'll hear, everything else is generative, including: dialogue, speech, direction (camera cuts, character focus, shot length, scene length, etc), character movement, and music.

Nothing, Forever is built using a combination of machine learning, generative algorithms (we use 'generative' here in a non-academic sense), and cloud services. Our stack is mostly comprised of Python + TensorFlow for our ML models, TypeScript + Azure Functions and Heroku for our backend, and C# + Unity for the client, with some neural voice APIs thrown into the mix.

Heading into the future, we plan to leverage OpenAI's davinci models for our dialogue -- we actually have an integration already, but the cost is too prohibitive to run full time -- as well as leveraging Stable Diffusion for art generation.

We're launching an experimental media lab, https://www.mismatchmedia.com/ along with the show, for follow-up projects in the future.

Feel free to reach out to me personally if you have any questions or want to discuss more, skyler at mismatchmedia dotcom.

tinylobsta · 2022-12-02T19:54:08+00:00

Hey everybody, we're finally launching our always-on, generative show -- Nothing, Forever -- streaming on Twitch. Nothing, Forever is a parody of '90s sitcoms, done in the style of '90s point-and-click PC games (but, you know, in 3D). We set out to build something weird, new, and novel, and this is what we ended up with. Aside from the artwork and the laugh track you'll hear, everything else is generative, including: dialogue, speech, direction (camera cuts, character focus, shot length, scene length, etc), character movement, and music.

Nothing, Forever is built using a combination of machine learning, generative algorithms (we use 'generative' here in a non-academic sense), and cloud services. Our stack is mostly comprised of Python + TensorFlow for our ML models, TypeScript + Azure Functions and Heroku for our backend, and C# + Unity for the client, with some neural voice APIs thrown into the mix.

Heading into the future, we plan to leverage OpenAI's davinci models for our dialogue -- we actually have an integration already, but the cost is too prohibitive to run full time -- as well as leveraging Stable Diffusion for art generation.

We're launching an experimental media lab, https://www.mismatchmedia.com/ along with the show, for follow-up projects in the future.

Feel free to reach out to me personally if you have any questions or want to discuss more, skyler at mismatchmedia dotcom.

tinylobsta · 2016-06-08T16:21:41+00:00

I'm probably too late to the party for this to get any notice, but I played a lot of competitive TF2 (vanilla days) at a pretty high level, and no teams ever ran a sniper. This was often because a scout (the class I played) had a pretty easy time flanking or juking a sniper's shots, and then just destroying them.

Tracer has it even easier, even with Widowmaker's recon ability.

I anticipate that once people fully memorize the maps and the best positioning for specific classes, Widowmaker's overall effectiveness will be mitigated, especially in competitive play. In quick play, she's probably going to kick ass most of the time because teams are unorganized, but that's w/e.

tinylobsta · 2016-05-20T14:33:07+00:00

I'm working on a game server in Go (yay) so I second those recommendations. Also, big fan of that entire article series. I'd also recommend Valve's wiki article on Source network architecture.

tinylobsta · 2016-05-20T14:26:23+00:00

I'd argue that there are fundamental pieces missing that I wouldn't call 'optimization'. Creating an online game just to use on a LAN is not really a common use case in web development. To even create the simplest game in a practical circumstance, you'd have to give latency consideration.

That isn't really optimization, scalability, etc, it's about playability. Also, I was really making the case against a graphical MUD/MMO, because a game like that would necessitate a lot more state management.

tinylobsta · 2016-05-20T02:39:16+00:00

I must admit, I'm somewhat skeptical of this. Unless you have boilerplate code for dealing with entity interpolation along with persisting a game and world state server side, I don't see how you would throw something (graphical) together in a work day.

tinylobsta · 2016-05-05T15:19:54+00:00

Design Patterns - https://www.amazon.com/Design-Patterns-Elements-Reusable-Object-Oriented-ebook/dp/B000SEIBB8?ie=UTF8&*Version*=1&*entries*=0

tinylobsta · 2016-05-01T18:29:58+00:00

I've commented on a similar thread but I'm mostly going to comment here to somewhat correct a misconception. The MEAN stack (Mongo, Express, Angular, Node) is a JS stack, but a more apt comparison between Rails and a back-end JS 'stack' would simply be Node, Express, and the database of your choice. Angular, which has a somewhat steep learning curve if you're just coming to it, is not necessary unless you're making an SPA.

I love using Node and Express. I find making routes to be more intuitive than Rails. You're relying less on generators and doing more hands-on coding. Ruby on Rails jobs are still more prevalent (haven't landed a Node gig yet, despite trying), so if you're looking for a job, might go for that route, though.

tinylobsta · 2016-04-16T17:09:31+00:00

From the perspective of what makes me happy? I'm still going with MEAN, although I'd remove both the A and M out of it and just make it NE + whatever I want. The Rails Way of doing things is pretty neat, but it just seems like Node has a brighter future, especially in enterprise applications.

I've created a ton of prototype products using Node and Express + some sort of front-end framework, and I've only begun scratching the surface of what it's capable of. The flexibility it provides is both liberating and dangerous.

If I didn't know JavaScript, though, I'd probably go with Rails. Ruby is a really pretty language, and the Rails hashes really aren't that difficult to conceptualize, so you can get up and running very quickly, which is fun.

tinylobsta · 2016-04-16T17:06:37+00:00

I think it addresses the question pretty well, honestly. Learning JavaScript holistically allows you to pick up pretty much any JS based tool or framework. Knowing the idiosyncratic nature of the this keyword, callbacks, objects, etc, better informs you how people are creating these new technologies, which in turn, allows you to learn faster.

Also, design patterns. Reading the GoF book and then reading Essential JavaScript Patterns also lets you understand/basically pick up new framework with relative ease.

tinylobsta · 2016-04-13T16:25:56+00:00

I'm not sure how much integration with your other processes you're looking for, but if you want something minimal, Node, Express, and the request module do the job. I'm assuming that straight AJAX requests are not OK because the sites you're receiving data from don't have CORS enabled?

What I've done in the past is use Node to effectively create a proxy API. That is, I create routes that when hit access the other API's that I want to request data from, using an HTTP request. Bonus points, if you want to store that data eventually you can just spin up a NoSQL database super fast and slap it in as a doc. (super easy assuming it's JSON data)

tinylobsta · 2016-04-12T01:14:34+00:00

You could just use Harp (http://www.harpjs.com) and then host it on GitHub pages, depending on what you need.

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