Podcasts about Marimo

Looking for a guide on getting started with Marimo notebooks? How do you build a reproducible notebook for sharing or create a dashboard with interactive UI elements? Christopher Trudeau is back on the show this week, bringing another batch of PyCoder's Weekly articles and projects.

If we want AI systems that actually work in production, we need better infrastructure—not just better models. In this episode, Hugo talks with Akshay Agrawal (Marimo, ex-Google Brain, Netflix, Stanford) about why data and AI pipelines still break down at scale, and how we can fix the fundamentals: reproducibility, composability, and reliable execution. They discuss:

Have you ever spent an afternoon wrestling with a Jupyter notebook, hoping that you ran the cells in just the right order, only to realize your outputs were completely out of sync? Today's guest has a fresh take on solving that exact problem. Akshay Agrawal is here to introduce Marimo, a reactive Python notebook that ensures your code and outputs always stay in lockstep. And that's just the start! We'll also dig into Akshay's background at Google Brain and Stanford, what it's like to work on the cutting edge of AI, and how Marimo is uniting the best of data science exploration and real software engineering. Episode sponsors Worth Search Talk Python Courses Links from the show Akshay Agrawal: akshayagrawal.com YouTube: youtube.com Source: github.com Docs: marimo.io Marimo: marimo.io Discord: marimo.io WASM playground: marimo.new Experimental generate notebooks with AI: marimo.app Pluto.jl: plutojl.org Observable JS: observablehq.com Watch this episode on YouTube: youtube.com Episode transcripts: talkpython.fm --- Stay in touch with us --- Subscribe to Talk Python on YouTube: youtube.com Talk Python on Bluesky: @talkpython.fm at bsky.app Talk Python on Mastodon: talkpython Michael on Bluesky: @mkennedy.codes at bsky.app Michael on Mastodon: mkennedy

Did you know that adding a simple Code Interpreter took o3 from 9.2% to 32% on FrontierMath? The Latent Space crew is hosting a hack night Feb 11th in San Francisco focused on CodeGen use cases, co-hosted with E2B and Edge AGI; watch E2B's new workshop and RSVP here!We're happy to announce that today's guest Samuel Colvin will be teaching his very first Pydantic AI workshop at the newly announced AI Engineer NYC Workshops day on Feb 22! 25 tickets left.If you're a Python developer, it's very likely that you've heard of Pydantic. Every month, it's downloaded >300,000,000 times, making it one of the top 25 PyPi packages. OpenAI uses it in its SDK for structured outputs, it's at the core of FastAPI, and if you've followed our AI Engineer Summit conference, Jason Liu of Instructor has given two great talks about it: “Pydantic is all you need” and “Pydantic is STILL all you need”. Now, Samuel Colvin has raised $17M from Sequoia to turn Pydantic from an open source project to a full stack AI engineer platform with Logfire, their observability platform, and PydanticAI, their new agent framework.Logfire: bringing OTEL to AIOpenTelemetry recently merged Semantic Conventions for LLM workloads which provides standard definitions to track performance like gen_ai.server.time_per_output_token. In Sam's view at least 80% of new apps being built today have some sort of LLM usage in them, and just like web observability platform got replaced by cloud-first ones in the 2010s, Logfire wants to do the same for AI-first apps. If you're interested in the technical details, Logfire migrated away from Clickhouse to Datafusion for their backend. We spent some time on the importance of picking open source tools you understand and that you can actually contribute to upstream, rather than the more popular ones; listen in ~43:19 for that part.Agents are the killer app for graphsPydantic AI is their attempt at taking a lot of the learnings that LangChain and the other early LLM frameworks had, and putting Python best practices into it. At an API level, it's very similar to the other libraries: you can call LLMs, create agents, do function calling, do evals, etc.They define an “Agent” as a container with a system prompt, tools, structured result, and an LLM. Under the hood, each Agent is now a graph of function calls that can orchestrate multi-step LLM interactions. You can start simple, then move toward fully dynamic graph-based control flow if needed.“We were compelled enough by graphs once we got them right that our agent implementation [...] is now actually a graph under the hood.”Why Graphs?* More natural for complex or multi-step AI workflows.* Easy to visualize and debug with mermaid diagrams.* Potential for distributed runs, or “waiting days” between steps in certain flows.In parallel, you see folks like Emil Eifrem of Neo4j talk about GraphRAG as another place where graphs fit really well in the AI stack, so it might be time for more people to take them seriously.Full Video EpisodeLike and subscribe!Chapters* 00:00:00 Introductions* 00:00:24 Origins of Pydantic* 00:05:28 Pydantic's AI moment * 00:08:05 Why build a new agents framework?* 00:10:17 Overview of Pydantic AI* 00:12:33 Becoming a believer in graphs* 00:24:02 God Model vs Compound AI Systems* 00:28:13 Why not build an LLM gateway?* 00:31:39 Programmatic testing vs live evals* 00:35:51 Using OpenTelemetry for AI traces* 00:43:19 Why they don't use Clickhouse* 00:48:34 Competing in the observability space* 00:50:41 Licensing decisions for Pydantic and LogFire* 00:51:48 Building Pydantic.run* 00:55:24 Marimo and the future of Jupyter notebooks* 00:57:44 London's AI sceneShow Notes* Sam Colvin* Pydantic* Pydantic AI* Logfire* Pydantic.run* Zod* E2B* Arize* Langsmith* Marimo* Prefect* GLA (Google Generative Language API)* OpenTelemetry* Jason Liu* Sebastian Ramirez* Bogomil Balkansky* Hood Chatham* Jeremy Howard* Andrew LambTranscriptAlessio [00:00:03]: Hey, everyone. Welcome to the Latent Space podcast. This is Alessio, partner and CTO at Decibel Partners, and I'm joined by my co-host Swyx, founder of Smol AI.Swyx [00:00:12]: Good morning. And today we're very excited to have Sam Colvin join us from Pydantic AI. Welcome. Sam, I heard that Pydantic is all we need. Is that true?Samuel [00:00:24]: I would say you might need Pydantic AI and Logfire as well, but it gets you a long way, that's for sure.Swyx [00:00:29]: Pydantic almost basically needs no introduction. It's almost 300 million downloads in December. And obviously, in the previous podcasts and discussions we've had with Jason Liu, he's been a big fan and promoter of Pydantic and AI.Samuel [00:00:45]: Yeah, it's weird because obviously I didn't create Pydantic originally for uses in AI, it predates LLMs. But it's like we've been lucky that it's been picked up by that community and used so widely.Swyx [00:00:58]: Actually, maybe we'll hear it. Right from you, what is Pydantic and maybe a little bit of the origin story?Samuel [00:01:04]: The best name for it, which is not quite right, is a validation library. And we get some tension around that name because it doesn't just do validation, it will do coercion by default. We now have strict mode, so you can disable that coercion. But by default, if you say you want an integer field and you get in a string of 1, 2, 3, it will convert it to 123 and a bunch of other sensible conversions. And as you can imagine, the semantics around it. Exactly when you convert and when you don't, it's complicated, but because of that, it's more than just validation. Back in 2017, when I first started it, the different thing it was doing was using type hints to define your schema. That was controversial at the time. It was genuinely disapproved of by some people. I think the success of Pydantic and libraries like FastAPI that build on top of it means that today that's no longer controversial in Python. And indeed, lots of other people have copied that route, but yeah, it's a data validation library. It uses type hints for the for the most part and obviously does all the other stuff you want, like serialization on top of that. But yeah, that's the core.Alessio [00:02:06]: Do you have any fun stories on how JSON schemas ended up being kind of like the structure output standard for LLMs? And were you involved in any of these discussions? Because I know OpenAI was, you know, one of the early adopters. So did they reach out to you? Was there kind of like a structure output console in open source that people were talking about or was it just a random?Samuel [00:02:26]: No, very much not. So I originally. Didn't implement JSON schema inside Pydantic and then Sebastian, Sebastian Ramirez, FastAPI came along and like the first I ever heard of him was over a weekend. I got like 50 emails from him or 50 like emails as he was committing to Pydantic, adding JSON schema long pre version one. So the reason it was added was for OpenAPI, which is obviously closely akin to JSON schema. And then, yeah, I don't know why it was JSON that got picked up and used by OpenAI. It was obviously very convenient for us. That's because it meant that not only can you do the validation, but because Pydantic will generate you the JSON schema, it will it kind of can be one source of source of truth for structured outputs and tools.Swyx [00:03:09]: Before we dive in further on the on the AI side of things, something I'm mildly curious about, obviously, there's Zod in JavaScript land. Every now and then there is a new sort of in vogue validation library that that takes over for quite a few years and then maybe like some something else comes along. Is Pydantic? Is it done like the core Pydantic?Samuel [00:03:30]: I've just come off a call where we were redesigning some of the internal bits. There will be a v3 at some point, which will not break people's code half as much as v2 as in v2 was the was the massive rewrite into Rust, but also fixing all the stuff that was broken back from like version zero point something that we didn't fix in v1 because it was a side project. We have plans to move some of the basically store the data in Rust types after validation. Not completely. So we're still working to design the Pythonic version of it, in order for it to be able to convert into Python types. So then if you were doing like validation and then serialization, you would never have to go via a Python type we reckon that can give us somewhere between three and five times another three to five times speed up. That's probably the biggest thing. Also, like changing how easy it is to basically extend Pydantic and define how particular types, like for example, NumPy arrays are validated and serialized. But there's also stuff going on. And for example, Jitter, the JSON library in Rust that does the JSON parsing, has SIMD implementation at the moment only for AMD64. So we can add that. We need to go and add SIMD for other instruction sets. So there's a bunch more we can do on performance. I don't think we're going to go and revolutionize Pydantic, but it's going to continue to get faster, continue, hopefully, to allow people to do more advanced things. We might add a binary format like CBOR for serialization for when you'll just want to put the data into a database and probably load it again from Pydantic. So there are some things that will come along, but for the most part, it should just get faster and cleaner.Alessio [00:05:04]: From a focus perspective, I guess, as a founder too, how did you think about the AI interest rising? And then how do you kind of prioritize, okay, this is worth going into more, and we'll talk about Pydantic AI and all of that. What was maybe your early experience with LLAMP, and when did you figure out, okay, this is something we should take seriously and focus more resources on it?Samuel [00:05:28]: I'll answer that, but I'll answer what I think is a kind of parallel question, which is Pydantic's weird, because Pydantic existed, obviously, before I was starting a company. I was working on it in my spare time, and then beginning of 22, I started working on the rewrite in Rust. And I worked on it full-time for a year and a half, and then once we started the company, people came and joined. And it was a weird project, because that would never go away. You can't get signed off inside a startup. Like, we're going to go off and three engineers are going to work full-on for a year in Python and Rust, writing like 30,000 lines of Rust just to release open-source-free Python library. The result of that has been excellent for us as a company, right? As in, it's made us remain entirely relevant. And it's like, Pydantic is not just used in the SDKs of all of the AI libraries, but I can't say which one, but one of the big foundational model companies, when they upgraded from Pydantic v1 to v2, their number one internal model... The metric of performance is time to first token. That went down by 20%. So you think about all of the actual AI going on inside, and yet at least 20% of the CPU, or at least the latency inside requests was actually Pydantic, which shows like how widely it's used. So we've benefited from doing that work, although it didn't, it would have never have made financial sense in most companies. In answer to your question about like, how do we prioritize AI, I mean, the honest truth is we've spent a lot of the last year and a half building. Good general purpose observability inside LogFire and making Pydantic good for general purpose use cases. And the AI has kind of come to us. Like we just, not that we want to get away from it, but like the appetite, uh, both in Pydantic and in LogFire to go and build with AI is enormous because it kind of makes sense, right? Like if you're starting a new greenfield project in Python today, what's the chance that you're using GenAI 80%, let's say, globally, obviously it's like a hundred percent in California, but even worldwide, it's probably 80%. Yeah. And so everyone needs that stuff. And there's so much yet to be figured out so much like space to do things better in the ecosystem in a way that like to go and implement a database that's better than Postgres is a like Sisyphean task. Whereas building, uh, tools that are better for GenAI than some of the stuff that's about now is not very difficult. Putting the actual models themselves to one side.Alessio [00:07:40]: And then at the same time, then you released Pydantic AI recently, which is, uh, um, you know, agent framework and early on, I would say everybody like, you know, Langchain and like, uh, Pydantic kind of like a first class support, a lot of these frameworks, we're trying to use you to be better. What was the decision behind we should do our own framework? Were there any design decisions that you disagree with any workloads that you think people didn't support? Well,Samuel [00:08:05]: it wasn't so much like design and workflow, although I think there were some, some things we've done differently. Yeah. I think looking in general at the ecosystem of agent frameworks, the engineering quality is far below that of the rest of the Python ecosystem. There's a bunch of stuff that we have learned how to do over the last 20 years of building Python libraries and writing Python code that seems to be abandoned by people when they build agent frameworks. Now I can kind of respect that, particularly in the very first agent frameworks, like Langchain, where they were literally figuring out how to go and do this stuff. It's completely understandable that you would like basically skip some stuff.Samuel [00:08:42]: I'm shocked by the like quality of some of the agent frameworks that have come out recently from like well-respected names, which it just seems to be opportunism and I have little time for that, but like the early ones, like I think they were just figuring out how to do stuff and just as lots of people have learned from Pydantic, we were able to learn a bit from them. I think from like the gap we saw and the thing we were frustrated by was the production readiness. And that means things like type checking, even if type checking makes it hard. Like Pydantic AI, I will put my hand up now and say it has a lot of generics and you need to, it's probably easier to use it if you've written a bit of Rust and you really understand generics, but like, and that is, we're not claiming that that makes it the easiest thing to use in all cases, we think it makes it good for production applications in big systems where type checking is a no-brainer in Python. But there are also a bunch of stuff we've learned from maintaining Pydantic over the years that we've gone and done. So every single example in Pydantic AI's documentation is run on Python. As part of tests and every single print output within an example is checked during tests. So it will always be up to date. And then a bunch of things that, like I say, are standard best practice within the rest of the Python ecosystem, but I'm not followed surprisingly by some AI libraries like coverage, linting, type checking, et cetera, et cetera, where I think these are no-brainers, but like weirdly they're not followed by some of the other libraries.Alessio [00:10:04]: And can you just give an overview of the framework itself? I think there's kind of like the. LLM calling frameworks, there are the multi-agent frameworks, there's the workflow frameworks, like what does Pydantic AI do?Samuel [00:10:17]: I glaze over a bit when I hear all of the different sorts of frameworks, but I like, and I will tell you when I built Pydantic, when I built Logfire and when I built Pydantic AI, my methodology is not to go and like research and review all of the other things. I kind of work out what I want and I go and build it and then feedback comes and we adjust. So the fundamental building block of Pydantic AI is agents. The exact definition of agents and how you want to define them. is obviously ambiguous and our things are probably sort of agent-lit, not that we would want to go and rename them to agent-lit, but like the point is you probably build them together to build something and most people will call an agent. So an agent in our case has, you know, things like a prompt, like system prompt and some tools and a structured return type if you want it, that covers the vast majority of cases. There are situations where you want to go further and the most complex workflows where you want graphs and I resisted graphs for quite a while. I was sort of of the opinion you didn't need them and you could use standard like Python flow control to do all of that stuff. I had a few arguments with people, but I basically came around to, yeah, I can totally see why graphs are useful. But then we have the problem that by default, they're not type safe because if you have a like add edge method where you give the names of two different edges, there's no type checking, right? Even if you go and do some, I'm not, not all the graph libraries are AI specific. So there's a, there's a graph library called, but it allows, it does like a basic runtime type checking. Ironically using Pydantic to try and make up for the fact that like fundamentally that graphs are not typed type safe. Well, I like Pydantic, but it did, that's not a real solution to have to go and run the code to see if it's safe. There's a reason that starting type checking is so powerful. And so we kind of, from a lot of iteration eventually came up with a system of using normally data classes to define nodes where you return the next node you want to call and where we're able to go and introspect the return type of a node to basically build the graph. And so the graph is. Yeah. Inherently type safe. And once we got that right, I, I wasn't, I'm incredibly excited about graphs. I think there's like masses of use cases for them, both in gen AI and other development, but also software's all going to have interact with gen AI, right? It's going to be like web. There's no longer be like a web department in a company is that there's just like all the developers are building for web building with databases. The same is going to be true for gen AI.Alessio [00:12:33]: Yeah. I see on your docs, you call an agent, a container that contains a system prompt function. Tools, structure, result, dependency type model, and then model settings. Are the graphs in your mind, different agents? Are they different prompts for the same agent? What are like the structures in your mind?Samuel [00:12:52]: So we were compelled enough by graphs once we got them right, that we actually merged the PR this morning. That means our agent implementation without changing its API at all is now actually a graph under the hood as it is built using our graph library. So graphs are basically a lower level tool that allow you to build these complex workflows. Our agents are technically one of the many graphs you could go and build. And we just happened to build that one for you because it's a very common, commonplace one. But obviously there are cases where you need more complex workflows where the current agent assumptions don't work. And that's where you can then go and use graphs to build more complex things.Swyx [00:13:29]: You said you were cynical about graphs. What changed your mind specifically?Samuel [00:13:33]: I guess people kept giving me examples of things that they wanted to use graphs for. And my like, yeah, but you could do that in standard flow control in Python became a like less and less compelling argument to me because I've maintained those systems that end up with like spaghetti code. And I could see the appeal of this like structured way of defining the workflow of my code. And it's really neat that like just from your code, just from your type hints, you can get out a mermaid diagram that defines exactly what can go and happen.Swyx [00:14:00]: Right. Yeah. You do have very neat implementation of sort of inferring the graph from type hints, I guess. Yeah. Is what I would call it. Yeah. I think the question always is I have gone back and forth. I used to work at Temporal where we would actually spend a lot of time complaining about graph based workflow solutions like AWS step functions. And we would actually say that we were better because you could use normal control flow that you already knew and worked with. Yours, I guess, is like a little bit of a nice compromise. Like it looks like normal Pythonic code. But you just have to keep in mind what the type hints actually mean. And that's what we do with the quote unquote magic that the graph construction does.Samuel [00:14:42]: Yeah, exactly. And if you look at the internal logic of actually running a graph, it's incredibly simple. It's basically call a node, get a node back, call that node, get a node back, call that node. If you get an end, you're done. We will add in soon support for, well, basically storage so that you can store the state between each node that's run. And then the idea is you can then distribute the graph and run it across computers. And also, I mean, the other weird, the other bit that's really valuable is across time. Because it's all very well if you look at like lots of the graph examples that like Claude will give you. If it gives you an example, it gives you this lovely enormous mermaid chart of like the workflow, for example, managing returns if you're an e-commerce company. But what you realize is some of those lines are literally one function calls another function. And some of those lines are wait six days for the customer to print their like piece of paper and put it in the post. And if you're writing like your demo. Project or your like proof of concept, that's fine because you can just say, and now we call this function. But when you're building when you're in real in real life, that doesn't work. And now how do we manage that concept to basically be able to start somewhere else in the in our code? Well, this graph implementation makes it incredibly easy because you just pass the node that is the start point for carrying on the graph and it continues to run. So it's things like that where I was like, yeah, I can just imagine how things I've done in the past would be fundamentally easier to understand if we had done them with graphs.Swyx [00:16:07]: You say imagine, but like right now, this pedantic AI actually resume, you know, six days later, like you said, or is this just like a theoretical thing we can go someday?Samuel [00:16:16]: I think it's basically Q&A. So there's an AI that's asking the user a question and effectively you then call the CLI again to continue the conversation. And it basically instantiates the node and calls the graph with that node again. Now, we don't have the logic yet for effectively storing state in the database between individual nodes that we're going to add soon. But like the rest of it is basically there.Swyx [00:16:37]: It does make me think that not only are you competing with Langchain now and obviously Instructor, and now you're going into sort of the more like orchestrated things like Airflow, Prefect, Daxter, those guys.Samuel [00:16:52]: Yeah, I mean, we're good friends with the Prefect guys and Temporal have the same investors as us. And I'm sure that my investor Bogomol would not be too happy if I was like, oh, yeah, by the way, as well as trying to take on Datadog. We're also going off and trying to take on Temporal and everyone else doing that. Obviously, we're not doing all of the infrastructure of deploying that right yet, at least. We're, you know, we're just building a Python library. And like what's crazy about our graph implementation is, sure, there's a bit of magic in like introspecting the return type, you know, extracting things from unions, stuff like that. But like the actual calls, as I say, is literally call a function and get back a thing and call that. It's like incredibly simple and therefore easy to maintain. The question is, how useful is it? Well, I don't know yet. I think we have to go and find out. We have a whole. We've had a slew of people joining our Slack over the last few days and saying, tell me how good Pydantic AI is. How good is Pydantic AI versus Langchain? And I refuse to answer. That's your job to go and find that out. Not mine. We built a thing. I'm compelled by it, but I'm obviously biased. The ecosystem will work out what the useful tools are.Swyx [00:17:52]: Bogomol was my board member when I was at Temporal. And I think I think just generally also having been a workflow engine investor and participant in this space, it's a big space. Like everyone needs different functions. I think the one thing that I would say like yours, you know, as a library, you don't have that much control of it over the infrastructure. I do like the idea that each new agents or whatever or unit of work, whatever you call that should spin up in this sort of isolated boundaries. Whereas yours, I think around everything runs in the same process. But you ideally want to sort of spin out its own little container of things.Samuel [00:18:30]: I agree with you a hundred percent. And we will. It would work now. Right. As in theory, you're just like as long as you can serialize the calls to the next node, you just have to all of the different containers basically have to have the same the same code. I mean, I'm super excited about Cloudflare workers running Python and being able to install dependencies. And if Cloudflare could only give me my invitation to the private beta of that, we would be exploring that right now because I'm super excited about that as a like compute level for some of this stuff where exactly what you're saying, basically. You can run everything as an individual. Like worker function and distribute it. And it's resilient to failure, et cetera, et cetera.Swyx [00:19:08]: And it spins up like a thousand instances simultaneously. You know, you want it to be sort of truly serverless at once. Actually, I know we have some Cloudflare friends who are listening, so hopefully they'll get in front of the line. Especially.Samuel [00:19:19]: I was in Cloudflare's office last week shouting at them about other things that frustrate me. I have a love-hate relationship with Cloudflare. Their tech is awesome. But because I use it the whole time, I then get frustrated. So, yeah, I'm sure I will. I will. I will get there soon.Swyx [00:19:32]: There's a side tangent on Cloudflare. Is Python supported at full? I actually wasn't fully aware of what the status of that thing is.Samuel [00:19:39]: Yeah. So Pyodide, which is Python running inside the browser in scripting, is supported now by Cloudflare. They basically, they're having some struggles working out how to manage, ironically, dependencies that have binaries, in particular, Pydantic. Because these workers where you can have thousands of them on a given metal machine, you don't want to have a difference. You basically want to be able to have a share. Shared memory for all the different Pydantic installations, effectively. That's the thing they work out. They're working out. But Hood, who's my friend, who is the primary maintainer of Pyodide, works for Cloudflare. And that's basically what he's doing, is working out how to get Python running on Cloudflare's network.Swyx [00:20:19]: I mean, the nice thing is that your binary is really written in Rust, right? Yeah. Which also compiles the WebAssembly. Yeah. So maybe there's a way that you'd build... You have just a different build of Pydantic and that ships with whatever your distro for Cloudflare workers is.Samuel [00:20:36]: Yes, that's exactly what... So Pyodide has builds for Pydantic Core and for things like NumPy and basically all of the popular binary libraries. Yeah. It's just basic. And you're doing exactly that, right? You're using Rust to compile the WebAssembly and then you're calling that shared library from Python. And it's unbelievably complicated, but it works. Okay.Swyx [00:20:57]: Staying on graphs a little bit more, and then I wanted to go to some of the other features that you have in Pydantic AI. I see in your docs, there are sort of four levels of agents. There's single agents, there's agent delegation, programmatic agent handoff. That seems to be what OpenAI swarms would be like. And then the last one, graph-based control flow. Would you say that those are sort of the mental hierarchy of how these things go?Samuel [00:21:21]: Yeah, roughly. Okay.Swyx [00:21:22]: You had some expression around OpenAI swarms. Well.Samuel [00:21:25]: And indeed, OpenAI have got in touch with me and basically, maybe I'm not supposed to say this, but basically said that Pydantic AI looks like what swarms would become if it was production ready. So, yeah. I mean, like, yeah, which makes sense. Awesome. Yeah. I mean, in fact, it was specifically saying, how can we give people the same feeling that they were getting from swarms that led us to go and implement graphs? Because my, like, just call the next agent with Python code was not a satisfactory answer to people. So it was like, okay, we've got to go and have a better answer for that. It's not like, let us to get to graphs. Yeah.Swyx [00:21:56]: I mean, it's a minimal viable graph in some sense. What are the shapes of graphs that people should know? So the way that I would phrase this is I think Anthropic did a very good public service and also kind of surprisingly influential blog post, I would say, when they wrote Building Effective Agents. We actually have the authors coming to speak at my conference in New York, which I think you're giving a workshop at. Yeah.Samuel [00:22:24]: I'm trying to work it out. But yes, I think so.Swyx [00:22:26]: Tell me if you're not. yeah, I mean, like, that was the first, I think, authoritative view of, like, what kinds of graphs exist in agents and let's give each of them a name so that everyone is on the same page. So I'm just kind of curious if you have community names or top five patterns of graphs.Samuel [00:22:44]: I don't have top five patterns of graphs. I would love to see what people are building with them. But like, it's been it's only been a couple of weeks. And of course, there's a point is that. Because they're relatively unopinionated about what you can go and do with them. They don't suit them. Like, you can go and do lots of lots of things with them, but they don't have the structure to go and have like specific names as much as perhaps like some other systems do. I think what our agents are, which have a name and I can't remember what it is, but this basically system of like, decide what tool to call, go back to the center, decide what tool to call, go back to the center and then exit. One form of graph, which, as I say, like our agents are effectively one implementation of a graph, which is why under the hood they are now using graphs. And it'll be interesting to see over the next few years whether we end up with these like predefined graph names or graph structures or whether it's just like, yep, I built a graph or whether graphs just turn out not to match people's mental image of what they want and die away. We'll see.Swyx [00:23:38]: I think there is always appeal. Every developer eventually gets graph religion and goes, oh, yeah, everything's a graph. And then they probably over rotate and go go too far into graphs. And then they have to learn a whole bunch of DSLs. And then they're like, actually, I didn't need that. I need this. And they scale back a little bit.Samuel [00:23:55]: I'm at the beginning of that process. I'm currently a graph maximalist, although I haven't actually put any into production yet. But yeah.Swyx [00:24:02]: This has a lot of philosophical connections with other work coming out of UC Berkeley on compounding AI systems. I don't know if you know of or care. This is the Gartner world of things where they need some kind of industry terminology to sell it to enterprises. I don't know if you know about any of that.Samuel [00:24:24]: I haven't. I probably should. I should probably do it because I should probably get better at selling to enterprises. But no, no, I don't. Not right now.Swyx [00:24:29]: This is really the argument is that instead of putting everything in one model, you have more control and more maybe observability to if you break everything out into composing little models and changing them together. And obviously, then you need an orchestration framework to do that. Yeah.Samuel [00:24:47]: And it makes complete sense. And one of the things we've seen with agents is they work well when they work well. But when they. Even if you have the observability through log five that you can see what was going on, if you don't have a nice hook point to say, hang on, this is all gone wrong. You have a relatively blunt instrument of basically erroring when you exceed some kind of limit. But like what you need to be able to do is effectively iterate through these runs so that you can have your own control flow where you're like, OK, we've gone too far. And that's where one of the neat things about our graph implementation is you can basically call next in a loop rather than just running the full graph. And therefore, you have this opportunity to to break out of it. But yeah, basically, it's the same point, which is like if you have two bigger unit of work to some extent, whether or not it involves gen AI. But obviously, it's particularly problematic in gen AI. You only find out afterwards when you've spent quite a lot of time and or money when it's gone off and done done the wrong thing.Swyx [00:25:39]: Oh, drop on this. We're not going to resolve this here, but I'll drop this and then we can move on to the next thing. This is the common way that we we developers talk about this. And then the machine learning researchers look at us. And laugh and say, that's cute. And then they just train a bigger model and they wipe us out in the next training run. So I think there's a certain amount of we are fighting the bitter lesson here. We're fighting AGI. And, you know, when AGI arrives, this will all go away. Obviously, on Latent Space, we don't really discuss that because I think AGI is kind of this hand wavy concept that isn't super relevant. But I think we have to respect that. For example, you could do a chain of thoughts with graphs and you could manually orchestrate a nice little graph that does like. Reflect, think about if you need more, more inference time, compute, you know, that's the hot term now. And then think again and, you know, scale that up. Or you could train Strawberry and DeepSeq R1. Right.Samuel [00:26:32]: I saw someone saying recently, oh, they were really optimistic about agents because models are getting faster exponentially. And I like took a certain amount of self-control not to describe that it wasn't exponential. But my main point was. If models are getting faster as quickly as you say they are, then we don't need agents and we don't really need any of these abstraction layers. We can just give our model and, you know, access to the Internet, cross our fingers and hope for the best. Agents, agent frameworks, graphs, all of this stuff is basically making up for the fact that right now the models are not that clever. In the same way that if you're running a customer service business and you have loads of people sitting answering telephones, the less well trained they are, the less that you trust them, the more that you need to give them a script to go through. Whereas, you know, so if you're running a bank and you have lots of customer service people who you don't trust that much, then you tell them exactly what to say. If you're doing high net worth banking, you just employ people who you think are going to be charming to other rich people and set them off to go and have coffee with people. Right. And the same is true of models. The more intelligent they are, the less we need to tell them, like structure what they go and do and constrain the routes in which they take.Swyx [00:27:42]: Yeah. Yeah. Agree with that. So I'm happy to move on. So the other parts of Pydantic AI that are worth commenting on, and this is like my last rant, I promise. So obviously, every framework needs to do its sort of model adapter layer, which is, oh, you can easily swap from OpenAI to Cloud to Grok. You also have, which I didn't know about, Google GLA, which I didn't really know about until I saw this in your docs, which is generative language API. I assume that's AI Studio? Yes.Samuel [00:28:13]: Google don't have good names for it. So Vertex is very clear. That seems to be the API that like some of the things use, although it returns 503 about 20% of the time. So... Vertex? No. Vertex, fine. But the... Oh, oh. GLA. Yeah. Yeah.Swyx [00:28:28]: I agree with that.Samuel [00:28:29]: So we have, again, another example of like, well, I think we go the extra mile in terms of engineering is we run on every commit, at least commit to main, we run tests against the live models. Not lots of tests, but like a handful of them. Oh, okay. And we had a point last week where, yeah, GLA is a little bit better. GLA1 was failing every single run. One of their tests would fail. And we, I think we might even have commented out that one at the moment. So like all of the models fail more often than you might expect, but like that one seems to be particularly likely to fail. But Vertex is the same API, but much more reliable.Swyx [00:29:01]: My rant here is that, you know, versions of this appear in Langchain and every single framework has to have its own little thing, a version of that. I would put to you, and then, you know, this is, this can be agree to disagree. This is not needed in Pydantic AI. I would much rather you adopt a layer like Lite LLM or what's the other one in JavaScript port key. And that's their job. They focus on that one thing and they, they normalize APIs for you. All new models are automatically added and you don't have to duplicate this inside of your framework. So for example, if I wanted to use deep seek, I'm out of luck because Pydantic AI doesn't have deep seek yet.Samuel [00:29:38]: Yeah, it does.Swyx [00:29:39]: Oh, it does. Okay. I'm sorry. But you know what I mean? Should this live in your code or should it live in a layer that's kind of your API gateway that's a defined piece of infrastructure that people have?Samuel [00:29:49]: And I think if a company who are well known, who are respected by everyone had come along and done this at the right time, maybe we should have done it a year and a half ago and said, we're going to be the universal AI layer. That would have been a credible thing to do. I've heard varying reports of Lite LLM is the truth. And it didn't seem to have exactly the type safety that we needed. Also, as I understand it, and again, I haven't looked into it in great detail. Part of their business model is proxying the request through their, through their own system to do the generalization. That would be an enormous put off to an awful lot of people. Honestly, the truth is I don't think it is that much work unifying the model. I get where you're coming from. I kind of see your point. I think the truth is that everyone is centralizing around open AIs. Open AI's API is the one to do. So DeepSeq support that. Grok with OK support that. Ollama also does it. I mean, if there is that library right now, it's more or less the open AI SDK. And it's very high quality. It's well type checked. It uses Pydantic. So I'm biased. But I mean, I think it's pretty well respected anyway.Swyx [00:30:57]: There's different ways to do this. Because also, it's not just about normalizing the APIs. You have to do secret management and all that stuff.Samuel [00:31:05]: Yeah. And there's also. There's Vertex and Bedrock, which to one extent or another, effectively, they host multiple models, but they don't unify the API. But they do unify the auth, as I understand it. Although we're halfway through doing Bedrock. So I don't know about it that well. But they're kind of weird hybrids because they support multiple models. But like I say, the auth is centralized.Swyx [00:31:28]: Yeah, I'm surprised they don't unify the API. That seems like something that I would do. You know, we can discuss all this all day. There's a lot of APIs. I agree.Samuel [00:31:36]: It would be nice if there was a universal one that we didn't have to go and build.Alessio [00:31:39]: And I guess the other side of, you know, routing model and picking models like evals. How do you actually figure out which one you should be using? I know you have one. First of all, you have very good support for mocking in unit tests, which is something that a lot of other frameworks don't do. So, you know, my favorite Ruby library is VCR because it just, you know, it just lets me store the HTTP requests and replay them. That part I'll kind of skip. I think you are busy like this test model. We're like just through Python. You try and figure out what the model might respond without actually calling the model. And then you have the function model where people can kind of customize outputs. Any other fun stories maybe from there? Or is it just what you see is what you get, so to speak?Samuel [00:32:18]: On those two, I think what you see is what you get. On the evals, I think watch this space. I think it's something that like, again, I was somewhat cynical about for some time. Still have my cynicism about some of the well, it's unfortunate that so many different things are called evals. It would be nice if we could agree. What they are and what they're not. But look, I think it's a really important space. I think it's something that we're going to be working on soon, both in Pydantic AI and in LogFire to try and support better because it's like it's an unsolved problem.Alessio [00:32:45]: Yeah, you do say in your doc that anyone who claims to know for sure exactly how your eval should be defined can safely be ignored.Samuel [00:32:52]: We'll delete that sentence when we tell people how to do their evals.Alessio [00:32:56]: Exactly. I was like, we need we need a snapshot of this today. And so let's talk about eval. So there's kind of like the vibe. Yeah. So you have evals, which is what you do when you're building. Right. Because you cannot really like test it that many times to get statistical significance. And then there's the production eval. So you also have LogFire, which is kind of like your observability product, which I tried before. It's very nice. What are some of the learnings you've had from building an observability tool for LEMPs? And yeah, as people think about evals, even like what are the right things to measure? What are like the right number of samples that you need to actually start making decisions?Samuel [00:33:33]: I'm not the best person to answer that is the truth. So I'm not going to come in here and tell you that I think I know the answer on the exact number. I mean, we can do some back of the envelope statistics calculations to work out that like having 30 probably gets you most of the statistical value of having 200 for, you know, by definition, 15% of the work. But the exact like how many examples do you need? For example, that's a much harder question to answer because it's, you know, it's deep within the how models operate in terms of LogFire. One of the reasons we built LogFire the way we have and we allow you to write SQL directly against your data and we're trying to build the like powerful fundamentals of observability is precisely because we know we don't know the answers. And so allowing people to go and innovate on how they're going to consume that stuff and how they're going to process it is we think that's valuable. Because even if we come along and offer you an evals framework on top of LogFire, it won't be right in all regards. And we want people to be able to go and innovate and being able to write their own SQL connected to the API. And effectively query the data like it's a database with SQL allows people to innovate on that stuff. And that's what allows us to do it as well. I mean, we do a bunch of like testing what's possible by basically writing SQL directly against LogFire as any user could. I think the other the other really interesting bit that's going on in observability is OpenTelemetry is centralizing around semantic attributes for GenAI. So it's a relatively new project. A lot of it's still being added at the moment. But basically the idea that like. They unify how both SDKs and or agent frameworks send observability data to to any OpenTelemetry endpoint. And so, again, we can go and having that unification allows us to go and like basically compare different libraries, compare different models much better. That stuff's in a very like early stage of development. One of the things we're going to be working on pretty soon is basically, I suspect, GenAI will be the first agent framework that implements those semantic attributes properly. Because, again, we control and we can say this is important for observability, whereas most of the other agent frameworks are not maintained by people who are trying to do observability. With the exception of Langchain, where they have the observability platform, but they chose not to go down the OpenTelemetry route. So they're like plowing their own furrow. And, you know, they're a lot they're even further away from standardization.Alessio [00:35:51]: Can you maybe just give a quick overview of how OTEL ties into the AI workflows? There's kind of like the question of is, you know, a trace. And a span like a LLM call. Is it the agent? It's kind of like the broader thing you're tracking. How should people think about it?Samuel [00:36:06]: Yeah, so they have a PR that I think may have now been merged from someone at IBM talking about remote agents and trying to support this concept of remote agents within GenAI. I'm not particularly compelled by that because I don't think that like that's actually by any means the common use case. But like, I suppose it's fine for it to be there. The majority of the stuff in OTEL is basically defining how you would instrument. A given call to an LLM. So basically the actual LLM call, what data you would send to your telemetry provider, how you would structure that. Apart from this slightly odd stuff on remote agents, most of the like agent level consideration is not yet implemented in is not yet decided effectively. And so there's a bit of ambiguity. Obviously, what's good about OTEL is you can in the end send whatever attributes you like. But yeah, there's quite a lot of churn in that space and exactly how we store the data. I think that one of the most interesting things, though, is that if you think about observability. Traditionally, it was sure everyone would say our observability data is very important. We must keep it safe. But actually, companies work very hard to basically not have anything that sensitive in their observability data. So if you're a doctor in a hospital and you search for a drug for an STI, the sequel might be sent to the observability provider. But none of the parameters would. It wouldn't have the patient number or their name or the drug. With GenAI, that distinction doesn't exist because it's all just messed up in the text. If you have that same patient asking an LLM how to. What drug they should take or how to stop smoking. You can't extract the PII and not send it to the observability platform. So the sensitivity of the data that's going to end up in observability platforms is going to be like basically different order of magnitude to what's in what you would normally send to Datadog. Of course, you can make a mistake and send someone's password or their card number to Datadog. But that would be seen as a as a like mistake. Whereas in GenAI, a lot of data is going to be sent. And I think that's why companies like Langsmith and are trying hard to offer observability. On prem, because there's a bunch of companies who are happy for Datadog to be cloud hosted, but want self-hosted self-hosting for this observability stuff with GenAI.Alessio [00:38:09]: And are you doing any of that today? Because I know in each of the spans you have like the number of tokens, you have the context, you're just storing everything. And then you're going to offer kind of like a self-hosting for the platform, basically. Yeah. Yeah.Samuel [00:38:23]: So we have scrubbing roughly equivalent to what the other observability platforms have. So if we, you know, if we see password as the key, we won't send the value. But like, like I said, that doesn't really work in GenAI. So we're accepting we're going to have to store a lot of data and then we'll offer self-hosting for those people who can afford it and who need it.Alessio [00:38:42]: And then this is, I think, the first time that most of the workloads performance is depending on a third party. You know, like if you're looking at Datadog data, usually it's your app that is driving the latency and like the memory usage and all of that. Here you're going to have spans that maybe take a long time to perform because the GLA API is not working or because OpenAI is kind of like overwhelmed. Do you do anything there since like the provider is almost like the same across customers? You know, like, are you trying to surface these things for people and say, hey, this was like a very slow span, but actually all customers using OpenAI right now are seeing the same thing. So maybe don't worry about it or.Samuel [00:39:20]: Not yet. We do a few things that people don't generally do in OTA. So we send. We send information at the beginning. At the beginning of a trace as well as sorry, at the beginning of a span, as well as when it finishes. By default, OTA only sends you data when the span finishes. So if you think about a request which might take like 20 seconds, even if some of the intermediate spans finished earlier, you can't basically place them on the page until you get the top level span. And so if you're using standard OTA, you can't show anything until those requests are finished. When those requests are taking a few hundred milliseconds, it doesn't really matter. But when you're doing Gen AI calls or when you're like running a batch job that might take 30 minutes. That like latency of not being able to see the span is like crippling to understanding your application. And so we've we do a bunch of slightly complex stuff to basically send data about a span as it starts, which is closely related. Yeah.Alessio [00:40:09]: Any thoughts on all the other people trying to build on top of OpenTelemetry in different languages, too? There's like the OpenLEmetry project, which doesn't really roll off the tongue. But how do you see the future of these kind of tools? Is everybody going to have to build? Why does everybody want to build? They want to build their own open source observability thing to then sell?Samuel [00:40:29]: I mean, we are not going off and trying to instrument the likes of the OpenAI SDK with the new semantic attributes, because at some point that's going to happen and it's going to live inside OTEL and we might help with it. But we're a tiny team. We don't have time to go and do all of that work. So OpenLEmetry, like interesting project. But I suspect eventually most of those semantic like that instrumentation of the big of the SDKs will live, like I say, inside the main OpenTelemetry report. I suppose. What happens to the agent frameworks? What data you basically need at the framework level to get the context is kind of unclear. I don't think we know the answer yet. But I mean, I was on the, I guess this is kind of semi-public, because I was on the call with the OpenTelemetry call last week talking about GenAI. And there was someone from Arize talking about the challenges they have trying to get OpenTelemetry data out of Langchain, where it's not like natively implemented. And obviously they're having quite a tough time. And I was realizing, hadn't really realized this before, but how lucky we are to primarily be talking about our own agent framework, where we have the control rather than trying to go and instrument other people's.Swyx [00:41:36]: Sorry, I actually didn't know about this semantic conventions thing. It looks like, yeah, it's merged into main OTel. What should people know about this? I had never heard of it before.Samuel [00:41:45]: Yeah, I think it looks like a great start. I think there's some unknowns around how you send the messages that go back and forth, which is kind of the most important part. It's the most important thing of all. And that is moved out of attributes and into OTel events. OTel events in turn are moving from being on a span to being their own top-level API where you send data. So there's a bunch of churn still going on. I'm impressed by how fast the OTel community is moving on this project. I guess they, like everyone else, get that this is important, and it's something that people are crying out to get instrumentation off. So I'm kind of pleasantly surprised at how fast they're moving, but it makes sense.Swyx [00:42:25]: I'm just kind of browsing through the specification. I can already see that this basically bakes in whatever the previous paradigm was. So now they have genai.usage.prompt tokens and genai.usage.completion tokens. And obviously now we have reasoning tokens as well. And then only one form of sampling, which is top-p. You're basically baking in or sort of reifying things that you think are important today, but it's not a super foolproof way of doing this for the future. Yeah.Samuel [00:42:54]: I mean, that's what's neat about OTel is you can always go and send another attribute and that's fine. It's just there are a bunch that are agreed on. But I would say, you know, to come back to your previous point about whether or not we should be relying on one centralized abstraction layer, this stuff is moving so fast that if you start relying on someone else's standard, you risk basically falling behind because you're relying on someone else to keep things up to date.Swyx [00:43:14]: Or you fall behind because you've got other things going on.Samuel [00:43:17]: Yeah, yeah. That's fair. That's fair.Swyx [00:43:19]: Any other observations just about building LogFire, actually? Let's just talk about this. So you announced LogFire. I was kind of only familiar with LogFire because of your Series A announcement. I actually thought you were making a separate company. I remember some amount of confusion with you when that came out. So to be clear, it's Pydantic LogFire and the company is one company that has kind of two products, an open source thing and an observability thing, correct? Yeah. I was just kind of curious, like any learnings building LogFire? So classic question is, do you use ClickHouse? Is this like the standard persistence layer? Any learnings doing that?Samuel [00:43:54]: We don't use ClickHouse. We started building our database with ClickHouse, moved off ClickHouse onto Timescale, which is a Postgres extension to do analytical databases. Wow. And then moved off Timescale onto DataFusion. And we're basically now building, it's DataFusion, but it's kind of our own database. Bogomil is not entirely happy that we went through three databases before we chose one. I'll say that. But like, we've got to the right one in the end. I think we could have realized that Timescale wasn't right. I think ClickHouse. They both taught us a lot and we're in a great place now. But like, yeah, it's been a real journey on the database in particular.Swyx [00:44:28]: Okay. So, you know, as a database nerd, I have to like double click on this, right? So ClickHouse is supposed to be the ideal backend for anything like this. And then moving from ClickHouse to Timescale is another counterintuitive move that I didn't expect because, you know, Timescale is like an extension on top of Postgres. Not super meant for like high volume logging. But like, yeah, tell us those decisions.Samuel [00:44:50]: So at the time, ClickHouse did not have good support for JSON. I was speaking to someone yesterday and said ClickHouse doesn't have good support for JSON and got roundly stepped on because apparently it does now. So they've obviously gone and built their proper JSON support. But like back when we were trying to use it, I guess a year ago or a bit more than a year ago, everything happened to be a map and maps are a pain to try and do like looking up JSON type data. And obviously all these attributes, everything you're talking about there in terms of the GenAI stuff. You can choose to make them top level columns if you want. But the simplest thing is just to put them all into a big JSON pile. And that was a problem with ClickHouse. Also, ClickHouse had some really ugly edge cases like by default, or at least until I complained about it a lot, ClickHouse thought that two nanoseconds was longer than one second because they compared intervals just by the number, not the unit. And I complained about that a lot. And then they caused it to raise an error and just say you have to have the same unit. Then I complained a bit more. And I think as I understand it now, they have some. They convert between units. But like stuff like that, when all you're looking at is when a lot of what you're doing is comparing the duration of spans was really painful. Also things like you can't subtract two date times to get an interval. You have to use the date sub function. But like the fundamental thing is because we want our end users to write SQL, the like quality of the SQL, how easy it is to write, matters way more to us than if you're building like a platform on top where your developers are going to write the SQL. And once it's written and it's working, you don't mind too much. So I think that's like one of the fundamental differences. The other problem that I have with the ClickHouse and Impact Timescale is that like the ultimate architecture, the like snowflake architecture of binary data in object store queried with some kind of cache from nearby. They both have it, but it's closed sourced and you only get it if you go and use their hosted versions. And so even if we had got through all the problems with Timescale or ClickHouse, we would end up like, you know, they would want to be taking their 80% margin. And then we would be wanting to take that would basically leave us less space for margin. Whereas data fusion. Properly open source, all of that same tooling is open source. And for us as a team of people with a lot of Rust expertise, data fusion, which is implemented in Rust, we can literally dive into it and go and change it. So, for example, I found that there were some slowdowns in data fusion's string comparison kernel for doing like string contains. And it's just Rust code. And I could go and rewrite the string comparison kernel to be faster. Or, for example, data fusion, when we started using it, didn't have JSON support. Obviously, as I've said, it's something we can do. It's something we needed. I was able to go and implement that in a weekend using our JSON parser that we built for Pydantic Core. So it's the fact that like data fusion is like for us the perfect mixture of a toolbox to build a database with, not a database. And we can go and implement stuff on top of it in a way that like if you were trying to do that in Postgres or in ClickHouse. I mean, ClickHouse would be easier because it's C++, relatively modern C++. But like as a team of people who are not C++ experts, that's much scarier than data fusion for us.Swyx [00:47:47]: Yeah, that's a beautiful rant.Alessio [00:47:49]: That's funny. Most people don't think they have agency on these projects. They're kind of like, oh, I should use this or I should use that. They're not really like, what should I pick so that I contribute the most back to it? You know, so but I think you obviously have an open source first mindset. So that makes a lot of sense.Samuel [00:48:05]: I think if we were probably better as a startup, a better startup and faster moving and just like headlong determined to get in front of customers as fast as possible, we should have just started with ClickHouse. I hope that long term we're in a better place for having worked with data fusion. We like we're quite engaged now with the data fusion community. Andrew Lam, who maintains data fusion, is an advisor to us. We're in a really good place now. But yeah, it's definitely slowed us down relative to just like building on ClickHouse and moving as fast as we can.Swyx [00:48:34]: OK, we're about to zoom out and do Pydantic run and all the other stuff. But, you know, my last question on LogFire is really, you know, at some point you run out sort of community goodwill just because like, oh, I use Pydantic. I love Pydantic. I'm going to use LogFire. OK, then you start entering the territory of the Datadogs, the Sentrys and the honeycombs. Yeah. So where are you going to really spike here? What differentiator here?Samuel [00:48:59]: I wasn't writing code in 2001, but I'm assuming that there were people talking about like web observability and then web observability stopped being a thing, not because the web stopped being a thing, but because all observability had to do web. If you were talking to people in 2010 or 2012, they would have talked about cloud observability. Now that's not a term because all observability is cloud first. The same is going to happen to gen AI. And so whether or not you're trying to compete with Datadog or with Arise and Langsmith, you've got to do first class. You've got to do general purpose observability with first class support for AI. And as far as I know, we're the only people really trying to do that. I mean, I think Datadog is starting in that direction. And to be honest, I think Datadog is a much like scarier company to compete with than the AI specific observability platforms. Because in my opinion, and I've also heard this from lots of customers, AI specific observability where you don't see everything else going on in your app is not actually that useful. Our hope is that we can build the first general purpose observability platform with first class support for AI. And that we have this open source heritage of putting developer experience first that other companies haven't done. For all I'm a fan of Datadog and what they've done. If you search Datadog logging Python. And you just try as a like a non-observability expert to get something up and running with Datadog and Python. It's not trivial, right? That's something Sentry have done amazingly well. But like there's enormous space in most of observability to do DX better.Alessio [00:50:27]: Since you mentioned Sentry, I'm curious how you thought about licensing and all of that. Obviously, your MIT license, you don't have any rolling license like Sentry has where you can only use an open source, like the one year old version of it. Was that a hard decision?Samuel [00:50:41]: So to be clear, LogFire is co-sourced. So Pydantic and Pydantic AI are MIT licensed and like properly open source. And then LogFire for now is completely closed source. And in fact, the struggles that Sentry have had with licensing and the like weird pushback the community gives when they take something that's closed source and make it source available just meant that we just avoided that whole subject matter. I think the other way to look at it is like in terms of either headcount or revenue or dollars in the bank. The amount of open source we do as a company is we've got to be open source. We're up there with the most prolific open source companies, like I say, per head. And so we didn't feel like we were morally obligated to make LogFire open source. We have Pydantic. Pydantic is a foundational library in Python. That and now Pydantic AI are our contribution to open source. And then LogFire is like openly for profit, right? As in we're not claiming otherwise. We're not sort of trying to walk a line if it's open source. But really, we want to make it hard to deploy. So you probably want to pay us. We're trying to be straight. That it's to pay for. We could change that at some point in the future, but it's not an immediate plan.Alessio [00:51:48]: All right. So the first one I saw this new I don't know if it's like a product you're building the Pydantic that run, which is a Python browser sandbox. What was the inspiration behind that? We talk a lot about code interpreter for lamps. I'm an investor in a company called E2B, which is a code sandbox as a service for remote execution. Yeah. What's the Pydantic that run story?Samuel [00:52:09]: So Pydantic that run is again completely open source. I have no interest in making it into a product. We just needed a sandbox to be able to demo LogFire in particular, but also Pydantic AI. So it doesn't have it yet, but I'm going to add basically a proxy to OpenAI and the other models so that you can run Pydantic AI in the browser. See how it works. Tweak the prompt, et cetera, et cetera. And we'll have some kind of limit per day of what you can spend on it or like what the spend is. The other thing we wanted to b

In this episode of Gradient Dissent, Akshay Agrawal, Co-Founder of Marimo, joins host Lukas Biewald to discuss the future of collaborative AI development. They dive into how Marimo is enabling developers and researchers to collaborate seamlessly on AI projects, the challenges of scaling AI tools, and the importance of fostering open ecosystems for innovation. Akshay shares insights into building a platform that empowers teams to iterate faster and solve complex AI challenges together.Follow Weights & Biases:https://twitter.com/weights_biases https://www.linkedin.com/company/wandb Join the Weights & Biases Discord Server:https://discord.gg/CkZKRNnaf3

Akshay Agrawal is the Founder & CEO of Marimo, the next generation Python notebook. Their open source reactive notebook for Python, also called marimo, has almost 9K stars on GitHub. Marimo has raised $5M from investors including AIX Ventures. In this episode, we dig into Akshay's love of building developer tools for data teams, his journey from PhD to founder, what a great developer experience means for data teams, why reproducibility was a key problem for them to solve, how he thinks about monetization when other notebooks like Jupyter don't focus on making money & more!

What are common issues with using notebooks for Python development? How do you know the current state, share reproducible results, or create interactive applications? This week on the show, we speak with Akshay Agrawal about the open-source reactive marimo notebook for Python.

This week the HortWeek Podcast meets Imogen Bell, supervisor at Thomson's Garden Centre and a YPHA Southeast regional coordinatorIn her article for HortWeek 'Despite CITES, not all doom and gloom for houseplant sales' Imogen reflects on how the reinterpretation of CITES "meant practically a third of my stock became unavailable overnight". One of the "Brexit benefits" often quoted was the possibility that more friction across the borders would encourage clients to buy British and boost British-grown plants. As tightening border controls cause unprecedented chaos at BCPs Imogen might be feeling a degree of relief that she took the decision to switch to British houseplant nurseries months ago."Cacti, carnivorous plants, the majority of orchids... it's almost impossible to import, which is obviously quite a large part of most houseplant departments."Luckily, I was already having looking into UK growers after Brexit - just in case anything got super difficult to import. And at the same time a lot of UK nurseries then opened up to garden centres - Oppenman's plants, Double H, Hills Brothers all opened up to garden centres about the same time.I was already ordering from them so I just got to order in much higher volume.The only plants she's struggled with are more unusual orchids, she says, but initiatives such as Horti House which allows nurseries to trade as one unit is helping."You get some great nurseries in there like Dibley's who do Streptocarpus and Begonia.. and where before you would have to order either half a trolley or a whole trolley, you can now just order by the tray which means you can get a good range of more unusual things without having to kind of put all your eggs in one basket with a specific supplier."She talks about the challenge of competing with supermarkets with their economies of scale, "but on the other hand, I think if you look at any supermarket at their house plant department, it is all half-dead... where garden centers and other plant shops really stand out is the level of knowledge and customer service they can offer".At Thomson's she has added labels showing the air miles for plants on sale: "I'd like to introduce UK suppliers and just extend that so you can say this orchid or Monstera or whatever has come from 40 miles away and it's come from this nursery and it's a family -run business. I think it just adds to the value of the plant to be able to give it that origin."It surprises her that, given the huge rise in popularity of houseplants in recent years, many garden centres fail to put on a good display.New trends she is seeing include Marimo moss balls. They grow like a couple of millimetres a year. But for some reason they were flying off the shelves." The appeal for many customers she says, are plants that "thrive off neglect".On peat-free, Imogen says customers are asking for it and garden centres are moving in that direction, ban or no ban. "Horti House is peat-free and again out of necessity I guess the other ones will come into line" she says.On peat-free composts, she says: "I've noticed more and more people are mixing their own soils. So instead of just getting a packet off the shelf, they're buying a base and then they're buying perlite or coir or coco husk and then blending it for the specific plant".And will the houseplant boom continue?"I'm not sure we'll quite get the sky high sales we had during the lockdowns...They've plateaued since, but the interest is consistent. I don't think house plants will go away." Hosted on Acast. See acast.com/privacy for more information.

Jupyter has been a great environment to explore computational ideas, but that doesn't mean that it can be the only environment for interactive coding in Python. It also comes with some downsides, which led Akshay Agrawal to create an alternative called Marimo. We discussed it in a previous livestream and figured that it was time to sit down with the creator to learn what led to the development of this exciting new too. You can learn more about Marimo by going to their website over at https://marimo.io To learn more you can check out website or reach out to us on social media. Website: https://probabl.ai/ LinkedIn: https://www.linkedin.com/company/probabl Twitter: https://x.com/probabl_ai

Today we are talking about our first aquatic plant and one of my very favorites- Marimo...Get ready for cool origin stories, my newest proposed podcast field trip, and a whole lot of cute aggression. Sources:  https://en.wikipedia.org/wiki/Marimo https://mossballpets.com/blogs/news/unmasking-the-mysteries-of-moss-ball-pets#:~:text=The%20world's%20largest%20(and%20oldest,is%20over%20200%20years%20old! https://mossamigos.com/blogs/marimo-moss-ball-facts/japanese-marimo-balls https://kiryoku.it/en/marimo-dancing-moss-ball-considered-as-lake-soul/ https://www.japan.travel/en/spot/538/ https://featured.japan-forward.com/japan2earth/2023/12/5128/ --- Support this podcast: https://podcasters.spotify.com/pod/show/rooted-podcast/support

Topics covered in this episode: Marimo: “Future of Notebooks” pytest 8.3.0 & 8.3.1 are out Python Language Summit 2024 bash-dungeon Extras Joke Watch on YouTube About the show Sponsored by us! Support our work through: Our courses at Talk Python Training The Complete pytest Course Patreon Supporters Connect with the hosts Michael: @mkennedy@fosstodon.org Brian: @brianokken@fosstodon.org Show: @pythonbytes@fosstodon.org Join us on YouTube at pythonbytes.fm/live to be part of the audience. Usually Tuesdays at 10am PT. Older video versions available there too. Finally, if you want an artisanal, hand-crafted digest of every week of the show notes in email form? Add your name and email to our friends of the show list, we'll never share it. Michael #1: Marimo: “Future of Notebooks” via Matt Wilkie An open-source reactive notebook for Python Run one cell and marimo reacts by automatically running affected cells, eliminating the error-prone chore of managing notebook state. Marimo's reactive UI elements, like dataframe GUIs and plots, make working with data feel refreshingly fast, futuristic, and intuitive. Rapidly experiment with code and models Bind UI elements to Python values Pick-up-and-play design, with depth for power users See the FAQ Brian #2: pytest 8.3.0 & 8.3.1 are out Real excited to get --xfail-tb flag added This detaches xfail tracebacks from -rx/-ra (which was how it was pre-8.0) Keyword matching for marker expressions, that's fun. pytest -v -m "device(serial='123')" --no-fold-skipped allows for explit reporting of names of skipped tests Plus many more improvements, bug fixes, and doc improvements Michael #3: Python Language Summit 2024 Should Python adopt Calendar Versioning?: talk by Hugo van Kemenade Python's security model after the xz-utils backdoor: talk by Pablo Galindo Salgado Native Interface and Limited C API: talks by Petr Viktorin and Victor Stinner Free-threading ecosystems: talk by Daniele Parmeggiani Python on Mobile: talk by Malcolm Smith PyREPL -- New default REPL written in Python: talk by Pablo Galindo Salgado, Łukasz Langa, and Lysandros Nikolaou Should we make pdb better?: talk by Tian Gao Limiting yield in async generators: talk by Zac Hatfield-Dodds Annotations as Transforms: talk by Jason R. Coombs Lightning Talks, featuring talks by Petr Viktorin, David Hewitt, Emily Morehouse, Łukasz Langa, Pablo Galindo Salgado, and Yury Selivanov Brian #4: bash-dungeon “This game is intended to teach new users how to use their shell in a fun and interactive way.” Just clone the repo and start exploring with cd, ls, and cat. First moves cd bash-dungeon ls cd Enter ls cat parchment A fun way to learn some commands you might need and/or might have forgotten about. Extras Brian: Python 3.12.0b4, final beta, is out If hanging out on discuss.python.org, please checkout Community Guidelines And if it's still not clear why we need these, check out Inclusive communications expectations in Python spaces Google Chrome news Michael: PySimpleGUI goes commercial with obfuscated “source open”? Still have seats for Code in a Castle event Reactive Dashboards with Shiny for Python free course Joke: 40 Million in in Series A Funding - may be a lot of reading, but I found it funny Thanks to VM Brasseur for sharing this one. Also a few from pyjokes 0.7.2 (first new version since 2019) If at first you don't succeed, call it version 1.0. A product manager walks into a bar, asks for drink. Bartender says no, but will consider adding later. Triumphantly, Beth removed Python 2.7 from her server in 2030. 'Finally!' she said with glee, only to see the announcement for Python 4.4.1 Although, if CalVer, PEP 2026, happens, that'll just be Python 3.30.0.

The King Of Fighters '98 é o quinto título dessa série de jogos luta criado como um crossover das franquias da empresa SNK. Após o encerramento de um arco de história no título anterior, o '98 é produto que buscou polir ao máximo os sistemas de gameplay. Sem um enredo, o jogo reuniu a maior parte dos lutadores até então, incluindo versões alternativas. Como um título que celebra a franquia, este episódio de The King Of Fighters '98 é um modo de homenagear toda a franquia, inserindo uma vivência das experiências pessoais. Tudo isso montado a partir dos personagens, cujo carisma e personalidade é considerado um dos destaques mais importantes dessa série tão querida dos jogos de luta, especialmente no Brasil. Transcrição do Episódio Música: Cipher, Arashi No Saxophone 2, Kurikinton, Senritsu no Dora, Bloody e Esaka Forever por Hideki Asanaka, Marimo e Yasuo Yamate /Kiss Me por Higashi Pon, Eiko Chang e Ema Sue Redes Sociais: @levelsecreto Apresentação, Produção, Roteiro, Edição e Identidade Visual por Erick Oliveira.

To Subscribe to DTC Newsletter - https://dtcnews.link/signup Today, we're diving into the enchanting world of Moss Amigos, America's favorite new class pet. Join us as Jared Oliva, the mind behind this beloved brand, shares the ups and downs of bringing these moss ball companions into the spotlight. This episode is rich with insights for those navigating the challenging yet rewarding waters of modern marketing in 2023. Listen in to discover: The unexpected challenges and twists tied to TikTok's ever-evolving algorithm, and why authentic resonance is more crucial than ever. How adding a hat to a moss ball not only personified these companions but sparked an exciting new product line for Moss Amigos. The ingenious use of precious minerals that opened up fresh avenues and market opportunities for the brand. The fascinating origin story: How does one even think of creating a moss ball akin to Japan's renowned Marimo? And why? The most intriguing queries about these companions: from why they float (or don't) to their gender mysteries. Stay with us for an engaging exploration into the world of Moss Amigos, and pick up some valuable marketing wisdom along the way." Timestamps: 00:00 - Introduction 02:35 - Moss Amigos as Class Pets 05:18 - Exploring Marketing Strategies 08:45 - The Importance of Understanding Your Product 12:10 - Potential Celebrity Partnerships Hashtags: #MossAmigos #Houseplants #DTC #MarketingStrategies #UniqueProducts #ClassPets Subscribe to DTC Newsletter - https://dtcnews.link/signup Advertise on DTC - https://dtcnews.link/advertise Work with Pilothouse - https://dtcnews.link/pilothouse Follow us on Instagram & Twitter - @dtcnewsletter Watch this interview on YouTube - https://dtcnews.link/video

Ne parliamo oggi a Nessuna è Perfetta con Paola Manfroni fondatrice e direttore creativo di Marimo.

Hey ARMY! It's your two favorite Unnie's here to shamelessly obsess about BTS! Buckle up, because we are in for a looong trip. It's a super-sized episode as we finish playing catch-up and get bombarded by Lives. We start off with V and going over Jinny's Kitchen promotions on game caterers, and then geek out over his Weverese Live. We hang out with Jimin and his new friend Marimo. We stumble around drunk and jam out with Jungkook, then watch the FIFA behind-the-scenes footage. And we finish it off with the latest episode of Suchwita and J-hope's "Step on me" Weverese Live! We also tackle serious issues, like sasaeng's invading the boys' personal space, including RM's information being stolen. C'mon everyone. Do better. Unnie's Playlist is all about some of the jams that JK introduced to us to in his live. Kookie has the best taste in music. Join us as we obsess over BTS and everything they have to offer! Borahae! --- Send in a voice message: https://anchor.fm/wegotnojamspodcast/message

In the northern reaches of Japan in a idyllic lake, cute green balls of algae are battling for survival. It sounds like an anime, but cute green algae balls, Marimo, are battling stellar forces. Too much sunlight can endanger the cute green algae balls, the Marimo. Having too much sunlight can be just as bad for algae as too little. How can brown algae help fight back against climate change? Algae have changed the climate once before, so can they do it again? If you were to quantify the carbon sequestration of algae, would it really make an impact globally? Akina Obara, Mari Ogawa, Yoichi Oyama, Yoshihiro Suzuki, Masaru Kono. Effects of High Irradiance and Low Water Temperature on Photoinhibition and Repair of Photosystems in Marimo (Aegagropila linnaei) in Lake Akan, Japan. International Journal of Molecular Sciences, 2022; 24 (1): 60 DOI: 10.3390/ijms24010060 Hagen Buck-Wiese, Mona A. Andskog, Nguyen P. Nguyen, Margot Bligh, Eero Asmala, Silvia Vidal-Melgosa, Manuel Liebeke, Camilla Gustafsson, Jan-Hendrik Hehemann. Fucoid brown algae inject fucoidan carbon into the ocean. Proceedings of the National Academy of Sciences, 2022; 120 (1) DOI: 10.1073/pnas.2210561119

今度はボサノヴァ調！？ 「呼び込み君 ミニ」の上位モデルが発売決定、予約を受付中 青島文化教材社の「呼び込み君 ミニ」に、新たにデラックス版が登場。現在予約を受付中。 この商品は、店頭呼び込み機「呼び込み君」を全長53m […]

Sü Sü Cià Cià: se il vostro telefono squilla tra le 06.00 e le 09.00 ricordatevi di rispondere SOLO e UNICAMENTE '' Svegliati e Cammina!Da lunedì 26 settembre il montepremi sale a cinquecento (500.--) Franchi.Questa mattina abbiamo scopertole dieci espressioni più usate nella lingua italiana (riportate qui sotto) mentre Gianluca Pusterla ci ha regalato le sue 'irriverenti' pagelle.Scrivici: radiosveglia@r3i.ch10) BHO!Parola quasi onomatopeica che sostituisce NON LO SO. Il vero problema è che ormai viene utilizzato non solo fra amici ma con tutti e questo non è buono.Esempio:- Boris stasera esci?- Boh! Dipende se non mi addormento davanti alla TV guardando Padre Brown mentre mi faccio un bagnetto ai piedini nel catino con l'acqua bella calda.9) DAIAttenzione a non confonderla con la seconda persona singolare del verbo DARE! DAI, infatti, in questo caso può esprimere vari significati.Per esempio, esprime sorpresa per qualcosa che abbiamo appena visto o sentito, a cui quasi non crediamo.Esempio:– Sai che ho visto Boris in un sexy shop?– Dai! Ma veramente? Ma allora tutte quelle fruste non le ha perché fa equitazione come mi ha detto lui.Oppure usiamo DAI per incoraggiare qualcuno a fare qualcosa.Esempio:Dai! Boris vieni anche tu alla festa! E già che ci sei guida tu così noi possiamo bere…Inoltre, DAI si può anche usare per invitare qualcuno a smettere di fare qualcosa, come sinonimo di “Basta!”, “Smettila!”Esempio:– Dai! Dobbiamo lavorare! Boris non mi distrarre!8) SEI FUORISignifica che la persona sta dicendo castronerie, sciocchezze, cose senza logica.Si può trovare anche in altre varianti: TU NON STAI BENE CON LA TESTA! / SEI FUORI DI MELONE! / NON HAI SALE IN ZUCCA!Esempio:– Boris se ti squilla il telefono, tu come rispondi? Pronto…– Ma sei fuori? Svegliati e cammina!7) FIGO! / CHE FIGATA!Queste hanno praticamente lo stesso significato e indicano qualcosa di fantastico, spettacolare, “cool” come direbbero gli anglofoni!Esempio:– Maxi fa un DJ set anni 90 a Grancia venerdi… Ci andiamo?– Che figata! Assolutamente sì!NB: L'aggettivo “figo/a” (ma non “Che figata!”) può essere usato anche in riferimento a una persona di bell'aspetto, attraente!Esempio:Boris è ancora un figo, nonostante la sua età!6) OGGI COME OGGIQuesta espressione è molto usata dagli adulti ed esprime, con un po' di rassegnazione, lo stesso significato di espressioni come “di questi tempi”, “oggigiorno”.Si tende ad usarla quando facciamo un confronto tra qualcosa del passato e qualcosa del presente.Esempio:Boris mi ha ferito tante volte in passato, per questo, oggi come oggi, non mi fido più di nessuno!5) NEANCHE PER SOGNO!Questa espressione si usa per negare qualcosa con forza, significa “Assolutamente no!”Esempio:– Boris vorrebbe cucinare lo stracotto di bisonte imporchettato, sua grande specialità. Vieni stasera a mangiarlo?– Ma neanche per sogno! Lo sai che sono fruttariano!Altre versioni con lo stesso significato sono: “NEMMENO SE MI PAGHI!” oppure “NEANCHE PER IDEA!” e il più giovanile “MA ANCHE NO!”4) HAI SCOPERTO L'ACQUA CALDAQuesta frase è utilizzata per rispondere a qualcuno che dice un'ovvietà, qualcosa che già si sa o si è scoperta molto tempo fa… proprio come l'acqua calda!Esempio:– Ma sai che grazie a Wikipedia ho scoperto che Boris ha 78 anni e mezzo?– Hai scoperto l'acqua calda! Lo sanno anche i sassolini che trovi nella boccia del Marimo!3) FARE UN CASINOFARE UN CASINO significa combinare qualcosa di più o meno grave, far sorgere un problema.Da non confondere con FARE CASINO, usato di solito come sinonimo di “fare rumore”.Esempio:Per colpa di Boris che fa sempre casino, ho fatto un casino con il pc e si sono cancellati tutti i file con le sue foto osè che gli ho scattato al mare quest'estate.2) TANTO PER CAMBIARELetteralmente, questa espressione significa “solo per fare qualcosa di diverso”.Attenzione pero! È usata soprattutto in senso ironico!! Quindi per indicare l'esatto opposto, cioè qualcosa che si fa sempre!Esempio:– Cosa stai facendo?– Sostituisco boris che non ha voglia di lavorare, tanto per cambiare!(significa che lo faccio sempre, quindi non è una novità)1) NON CI PIOVEQuesto modo di dire di origine popolare – come la maggior parte delle espressioni che coinvolgono fenomeni atmosferici e calamità – descrive perfettamente l'idea di sicurezza e ineluttabilità di ciò che viene espresso.Se “non ci piove”, vuol dire che ci si trova in un posto protetto e irraggiungibile da qualsiasi dubbio, no?Esempio:-Lo sai che Boris, se continui a prenderlo in giro ti riga l'auto e ti sgonfia le gomme anche quelle del monopattino elettrico che hai a casa?-NON CI PIOVE

Brain fog is dominating my day. Treatment last week has left me feeling worse before I feel better. Today I'm posting about a "creature" that lives in my bathroom. Our bathroom doesn't get any direct sunlight so we grow marimo (NOT MIRABOU) balls -- incredibly low maintenance moss balls. They're perfect for those of us with little time and energy because they require so little upkeep. Perhaps it's my Piscean nature, but I think these watery plants have a metaphor to offer us: When I think about the ways my life has been transformed by illness, disability and pain, it's easy look back to the life I once lived. Using that as my yardstick makes it difficult to envision a different life ahead. This small moss ball lives on the lake floor, rolling around, in almost darkness, and brings me a lot of joy -- and that's the only thing it does, roll around! How can we re-imagine our lives in a way that works better than trying to fit back into a self that used to be? Society tells us these lives we lead don't have value -- but look at these sweet plants -- they're magic, and so are we! Not as we were, but as we are! How can you imagine yourself into a different way of being?! I'm off for the next two weeks, in the meantime, please go check out my new website - annetteleonard.com

Researchers have created a robot that can move through water powered only by photosynthesis. We discuss a bit about what we've read and smoke an Aladino Cameroon and sip some Makers Mark Cask Strength. In the 2nd half they focus on the Old Fashion and a recent event at Renegade Cigar with Christian Eiroa which included an Eiroa cigar made just for Renegade Cigars. https://www.fastcompany.com/90713257/these-robots-are-powered-by-algae-balls-living-inside https://www.cigarsliquorandmore.com  

Pa que te voy a mentir y dar excusas si se que me atrase caleta en dejar el capítulo listo. Ha pasado su tiempo así que ya no me acuerdo de que hablamos. Sé que Sanji aparece en la conversación, ah y también el Marimo po, si te debíamos la reseña desde el 1.032 hasta el 1.034, ya me enchufe. Aún así logramos hacer una cápsula bastante decente (y presencial). Así que aquí te dejo con nuestras hermosas voces y contenido. Hágale Nakama. --- Send in a voice message: https://anchor.fm/one-piece-chileno/message

The Vampire and His Pleasant Companions by Shoujo manga artist Marimo Ragawa and BL light novelist Narise Konohara. Yen Press I finally decided to buy this manga. I saw it on Wordery. I bought it out of a whim. And I already bought a couple of manga so I thought way not. I just finished reading this manga. I mentioned this manga back in October, it was on my recommendation list for BL vampire to read for Halloween. (Episode 85) Where to buy: Book Depository [The Vampire and His Pleasant Companions, Vol. 1 : Narise Konohara : 9781975319199](https://www.bookdepository.com/Vampire-His-Pleasant-Companions-Vol-1-Narise-Konohara/9781975319199?ref=grid-view&qid=1638276870867&sr=1-1) Listener of *It's A Yaoi Recipe* can get 15% off of any Manga at The Isle of Manga www.theisleofmanga.co.uk Use Promo Code: *REBEKAH* for a 15% discount at the checkout. Ship to the United Kingdom Only. The Isle of Manga is a brand new UK online book store, specialising in Manga and light novels. they sell bestselling Manga as well as new upcoming manga. *Orders over £25 get free shipping*. All shipping is *1st class* delivery. Check out The Isle of Manga https://www.theisleofmanga.co.uk/ for more information. If you like the podcast and want to join in the fun. you can join my Yaoi Recipe Discord Server. It's an active server, I always post new stuff on there. There is already have 30 members joined. which is great. https://discord.gg/ebM92P6bs8 you can also contact me on Twitter: @reebeksart or my website reebekillustrations.com Please read my featured article: Boy Love (Yaoi) Manga Recommendation to Buy at CDJapan featured on CD Japan website: https://www.cdjapan.co.jp/feature/Boy_Love_Yaoi_Manga_Recommendation_to_Buy_at_CDJapan SUPPORT 'IT'S A YAOI RECIPE!' ON BUY ME A COFFEE. if you enjoy the podcast and would like to support it, I now have a membership page where you can support the podcast each month. there are also some cool perks. Members also can get special roles on my Discord Server that allow the Members to gain access to all channels

Roronoa Zoro, Zoro, Zorooo, Marimo, Zoro, "El Cazador de Piratas" Zoro, y Zoro.Nuestras redes: https://linktr.ee/RadioPirataLos integrantes:- Jaume: https://twitter.com/OnePieceNewsCoo- Diego: https://twitter.com/OneMugiwara- Iván: https://twitter.com/OnePirata- Yute: https://twitter.com/AfroYute- Royal: https://twitter.com/TheRoyalOPCréditos y agradecimientos- Intro music: "On the road to Wano Kuni Theme Cover", producida por Styzmask- Logos e iconos: @surografic- Miniaturas: Monkey D. Luffy- Tráiler y consejos: @OnionedEar- Outro music: "ANDO CHILL", producido por SANELLIX MUSICAdvertising Inquiries: https://redcircle.com/brands

The new episode of WGA's Out West podcast, Moss Balls and Emergency Invasive Species Responses, explores the collaborative efforts of western states and the U.S. Fish and Wildlife Service to address the recent discovery that Marimo moss balls, which are often used in aquariums and sold in pets stores nationwide, harbored invasive zebra mussels. Listen in as WGA policy advisor Laura Cutlip speaks with Brian Nesvik, the Director of Wyoming Game and Fish, Joshua Leonard, the Statewide Aquatic Invasive Species Coordinator for Wyoming Game and Fish, and Eric Anderson, an officer with the Washington State Department of Fish and Wildlife, about the strategies they developed to meet this surprising threat and the importance of effective state-federal partnerships in the rapid response to invasive species management.    

SPECIAL NOTE: I may or may not be choosing this episode as November's rerun because it may or may not directly relate to December's special episode of Channel 1 (I can neither confirm nor deny such rumors!) ;-) :-P   ----------------------------------------------------------------------------------------------------------------------------------------------   Today's broadcast is Episode 40 for Theme Thursday, December 20th, 2018. Today's Theme is Listener Picks on a program we're calling "Listener Picks - vol. 1". Guest curated by the listeners - guest hosted by the listeners!    01 - Prologue - 00:00:00  02 - Intro - 00:00:10  03 - Wizards and Warriors – NES – Opening Theme – David Wise – Phillip Vaughn - 00:02:38  04 - Super Smash Bros. Ulitmate  - SWITCH – Lifelight (Main Theme – English Vocals) - Hideki Sakamoto – The Messenger - 00:03:13  05 - Twisted Metal 4 – PS1 – Neon City – Chuck Doud – Phillip Vaughn - 00:06:56  06 - King of Fighters 2000 – multi – Inner Shade – Hideki Asanaka, Marimo, USAKO-X, Yasuo Yamate, and/or ZOE – Justin Regan - 00:11:20  07 - Undertale - multi - Metal Crusher - Toby Fox - Jeshua Lack - 00:14:36  08 - Ginga Ojousama Densetsu Yuna FX: Kanashimi no Siren – PCFX – BGM# 20 – Takanori Arisawa and/or Aya Tanaka – KeyGlyph - 00:16:51  09 - Tower of Heaven – PC – Luna Ascension – Flashygoodness – Adam Huisman - 00:18:17  10 - Alter Ego Dreamwalker – multi – Hunters (Menu) - Coda, and/or Kulor – Chris Murray - 00:20:43  11 - PunchOut - NES - In-Game Theme - Yukio Kaneoka, Akito Nakatsuka and/or Kenji Yamamoto - Brian Peterson - 00:21:56  12 - Crackin' DJ Part 2 - Arcade - Seven O' Clock - c: Hiroshi Kawaguchi / a: Mitsuharu Fukuyama - Electric Boogaloo - 00:23:40  13 - Toe Jam and Earl – Genesis – Rapmaster Rocket Racket – John Baker – Jeshua Lack - 00:25:47  14 - Runner 3 – multi – CommanderVideo Runs Again – Matthew Harwood – Kris Randazzo - 00:29:36  15 - Majula Frontier – PC – Into the Abyss – Dale North – Chris Murray - 00:32:31  16 - DOOM (2016) - multi – Transistor Fist – Mick Gordon – Eric Barks - 00:34:35  17 - Castlevania III  - NES – Riddle – Konami Kukeiha Club – Valerie Wedgeworth - 00:40:37  18 - Wild Guns - SNES - Final Fight - Hiroyuki Iwatsuki and/or Harou Ohashi - Deirdre Fischer (aka Pieness 64) - 00:41:40  19 - Genji Tsuushin Agedama – PC Engine – BGM# 06 – T's Music – KeyGlyph - 00:43:16  20 - Pigskin 621 A.D. - Arcade - First Half - Dan Forden - Electric Boogaloo - 00:44:57  21 - Aldynes: The Mission Code for Rage Crisis – Supergrafx – Stage 6 – Keita Hoshi – KeyGlyph - 00:48:00  22 - Skyroads – PC (AdLib) - Road 8 – Ott M. Aaloe, Hasso Bruck – Justin Regan - 00:49:29  23 - Lady Sword: Ryakudatsu Sareta 10 Nin no Otome – PC Engine – 1F-3F – Unknown – Justin Regan - 00:52:28  24 - Kirby's Dream Land - GameBoy - Castle Lololo - Jun Ishikawa - Brian Peterson - 00:54:08  25 - Earthbound – SNES – Onett Theme – Keiichi Suzuki, and/or Hirokazu (Hip) Tanaka – Phillip Vaughn - 00:56:03  26 - Kero Blaster – multi – Hinterland Fort  (It's My Blaster)– Daisuke "Pixel" Amaya – Kris Randazzo - 00:58:23  27 - Mega Man 11 – multi – Bounce Man Stage – Marika Suzuki – Kris Randazzo - 01:01:47  28 - Super Hyperactive Ninja – multi – Tower 4 Main – Michael Nestrogen Raisner – Michael Nestrogen Raisner - 01:03:52  29 - Resident Evil – PS1 – End Credits – Makoto Tomozawa, Akira Kaida, and/or Masami Ueda – John Jekel - 01:05:39  30 - Modaozi - PC - Credits - Unknown - Oke Music - 01:08:41  31 - Metal Black - Arcade - Dual Moon - Yasuhisa Watanabe - Electric Boogaloo - 01:10:07  32 - Journey – PS3 / PS4 – Apothesis – Austin Wintory – Adam Huisman - 01:12:44  33 - Chrono Cross – PS1 – Dead Sea / Ruined Tower – Yasunori Mitsuda – Amber Peary - 01:19:31  34 - Legend of Mana – PS1 – City of Flickering Destruction – Yoko Shimomura – Amber Peary - 01:22:29  35 - Resident Evil 2 – PS1 – End Credits – Masami Ueda – John Jekel - 01:25:41  36 - Life is Strange – multi – Spanish Sahara – Foals – Amber Peary - 01:28:09  37 - Celeste – Multi – Resurrections – Lena Raine – Chris Murray - 01:34:46  38 - Ginga Ojousama Densetsu Yuna FX: Kanashimi no Siren – PCFX – BGM# 04 - Takanori Arisawa and/or Aya Tanaka – KeyGlyph - 01:44:19  39 - Botanicula – multi – Juchu – DVA, Bara Kratochvilova, and/or Jan Kratochvilova – Adam Huisman - 01:47:01  40 - Ecco: Defender of the Future - Dreamcast – Hanging Waters - Tim Follin - Electric Boogaloo - 01:50:34  41 - Kerbal Space Program – multi – Space Music (Track 2) - Victor Machado – Jeshua Lack - 01:53:01  42 - Spark the Electric Jester – PC – Smog City Sewers (Stage 4) - Faulk Au Yeong, Pejman Roozbeh, James Landino, Andy Tunstall, Paul Bethers, and/or Michael Staple - The Diad - 01:54:36  43 - Outro - 01:58:47  44 - Blooper Reel - 02:12:48    Music Block Runtime: 01:56:13, Total Episode Runtime: 02:25:51    Our Intro and Outro Music is Funky Radio - Dreamcast - BB Rights

Conoscete i Marimo? Non sono solo alghe paffutelle ma sono anche simbolo di amore e fortuna!

Mariliis Pikkari on kogu elu saatnud disainimine. Noorena sai kätt harjutada rätsepast ema kõrval, mil teenis õmmeldes esimese taskuraha. Pärast ülikooli proovis erinevatesse kohtadesse tööle saada, kuid õnn polnud temaga. Seejärel otsustas, et alustab oma ettevõttega. Täna on Mariliis tuntud disainer ja Marimo moemaja looja. Millistest väljakutsetest on ta läbi tulnud ja mis väljakutsed on tal täna, kuuled juba saatest!Mariliis InstasMarimoMariliis LinkIn Täitsa Pekkis SaadeInsta: https://www.instagram.com/taitsapekkis​​​Web: https://www.taitsapekkis.ee​​Toeta meid: https://www.patreon.com/taitsapekkis​

Mariliis Pikkari on kogu elu saatnud disainimine. Noorena sai kätt harjutada rätsepast ema kõrval, mil teenis õmmeldes esimese taskuraha. Pärast ülikooli proovis erinevatesse kohtadesse tööle saada, kuid õnn polnud temaga. Seejärel otsustas, et alustab oma ettevõttega. Täna on Mariliis tuntud disainer ja Marimo moemaja looja. Millistest väljakutsetest on ta läbi tulnud ja mis väljakutsed on tal täna, kuuled juba saatest! Täitsa Pekkis Saade Insta: https://www.instagram.com/taitsapekkis​​​ Web: https://www.taitsapekkis.ee​​ Toeta meid: https://www.patreon.com/taitsapekkis​

Things take an explosive turn as we kick off the finale with a lot of damage. Patreon: https://www.patreon.com/queerdungeoneers Discord: https://discord.gg/kYgt5Ag Twitter: @QueerDungeons Merch: https://queerdungeoneers.threadless.com/ Episode Transcripts: https://sites.google.com/view/queer-dungeoneers-transcripts/home "Dawn Line Approaching", "Flashing Runner", "Marimo", "Static City Drumline", "Cicle Clavis Textile", "Bkls", "Vulcan Street", "VK Talis", "Thin Passage", "Laser Focus", "El Tajo" and  "We Collect Shiny Things" by Blue Dot Sessions (www.sessions.blue) Sound effects from Soundsnap.

Un aperitivo sui tetti di Parigi, 60 anni di George Clooney, Vino Brunori sas, Un anno senza germi, Marimo...

Chris Carlier, a British writer/illustrator in Tokyo who blogs about Japanese mascot characters joins Ben and Burke on the podcast. He has appeared in articles and interviews for CNN, Vice, GQ magazine, The BBC, and The New York Times, just to name a few.We delve deep into this unique world where there are some very wacky mascots. A good example is Marimokkori, a popular character in Hokkaido. Marimo is the word for the green algae that grows in some of the lakes in Hokkaido, while mokkori is Japanese slang for erection.Chris also talks about some of the strangest characters he has seen, the annual best mascot competition, the positive impact a good mascot can have on a city, some mascot scandals, and much much more! Enjoy the show!Check out Chris' website and Twitter page for more information and photos.Sponsors:Bearfoot BarLocated in downtown Sapporo, walking distance from the subway station. There are  variety of Japanese made craft bottled beers. A range of whiskeys and basic cocktails also available. Burgers and pub style snacks. Friendly English and Japanese speaking staff.  https://www.facebook.com/bearfootbarThe Red House Located in the heart of Rusutsu Ski Resort, just cross the main road and it’s behind the Seicomart Convenience store. The restaurant features a mix of Japanese, Asian fusion, and western Style dishes, including shabu-shabu with wagyu beef and Hokkaido wagyu beef steak. Open winter and summer, 12-3pm for lunch, 5-9pm for dinner, with prices ranging from under Yen 1000 to about Yen 5000. https://theredhouse.jp/Rusutsu LodgesOpen all year round. Located 5 minutes walk to the main Rusutsu Ski Resort Gondola. There are Japanese, Western, and apartment style rooms with breakfast packages available. There’s a Japanese sento (public bath), two convenience stores less than a minute walk, ski room and tune up tables, free pick up available from the bus stop, plenty of free parking space, and summer BBQ packages available. Check out the website for more information and availability. http://rusutsulodges.comHokkaido GuideEstablished over 10 years ago, written by locals for locals and international tourists. The guide contains information on all types of businesses and locations around Hokkaido. There's information regarding all things Hokkaido such as sightseeing, nightlife, events, services, food and restaurants, entertainment, outdoor activities, and more. Currently offered in English and Thai, advertising space available. Check out website for everything you need to know about this beautiful prefecture. https://hokkaidoguide.com Use our Buzzsprout affiliate link to start your podcast today!  Website:https://www.voicesinjapan.com/ Follow us and check out our other content:https://twitter.com/voicesinjapanhttps://www.facebook.com/voicesinjapan/https://www.instagram.com/voicesinjapan/Get in touch: voicesinjapan@gmail.comSupport the show (https://www.buymeacoffee.com/voicesinjapan)

CW: Emulated panic attack Aww beans, this one's spooky! Rate Every Pokémon: https://pod.link/1559916850  Patreon: https://www.patreon.com/queerdungeoneers Discord: https://discord.gg/kYgt5Ag Twitter: @QueerDungeons Merch: https://queerdungeoneers.threadless.com/ Episode Transcripts: https://sites.google.com/view/queer-dungeoneers-transcripts/home "We Collect Shiny Things", "Darklit Carpet", "Levanger", "Nine Count", "Marimo 1", "Hickory Interlude" and "Dawn Line Approaching" by Blue Dot Sessions (www.sessions.blue) Sound effects from Soundsnap.

The party drop into Moltengorge, capital of Concordia, and find it in total disarray.  The Abyss Stares Back: https://open.spotify.com/playlist/62fItSxZcmrGMj62Meu1DB?si=HnT9I-JKRvyxPry1YAMW_A  Beholder's Eye Twitter: https://twitter.com/beholder_s  Patreon: https://www.patreon.com/queerdungeoneersDiscord: https://discord.gg/kYgt5AgTwitter: @QueerDungeonsMerch: https://queerdungeoneers.threadless.com/Episode Transcripts: https://sites.google.com/view/queer-dungeoneers-transcripts/home "We Collect Shiny Things" and "Marimo" by Blue Dot Sessions (www.sessions.blue) Sound effects from Soundsnap.

Conversations are important, especially with people who are different from you. As a Christian girl, it was important for me to have this conversation with Ruth Marimo, an African Atheist - because at the end of the day, no matter who we serve (or don't serve), we are still humans with blood running through our veins.Today's guest, Ruth Marimo, isn't new to the podcast. She first came on the podcast in episode 18 where she talked about emotional resilience. It. Was. So. Powerful! Check that episode out here. I promise you that you will feel inspired, motivated, and empathetic. Go listen to it when you are busy making children up and down.Ruth Marimo is a 40-year-old single mom. She has authored two books: (1) a memoir titled ‘Outsider: Crossing Borders, Breaking Rules, Gaining pride’, which chronicles her immigration journey from her country of origin, Zimbabwe, as well as the complexities of being a multiple minority, and (2) a work of fiction titled ‘Indelicate Things.’ She has a residential and commercial cleaning business called Ruth’s Cleaning Service that has been growing for 6 years. When she is not busy raising her two kids, she speaks and fights for many causes including racial inequality, immigration reform, and LGBTQ equality.Connect with Ruth Marimo on her personal Facebook page, on Instagram, on Twitter, and on Facebook. Also, please watch her TEDx talk. BEFORE YOU GO, PLEASE RATE AND LEAVE A WRITTEN REVIEW ON APPLE PODCASTS. THANK YOU!Let's connect:I Am African on InstagramI Am African on TwitterI Am African on FacebookVera Ezimora on InstagramVera Ezimora on TwitterVera Ezimora on FacebookMonthly love notes in your emailWeb: www.verastic.comEmail: iamafrican@verastic.com

Nesta semana O Som do Cartucho chega com toda potência, pois este episódio vai ser dedicado totalmente ao colosso que foi o NEO GEO. Não deu para trazer todos os clássicos desse videogame que marcou sua época. Mas, com certeza vai dar para mostrar do que ele era capaz. Nos encontramos na próxima semana. Este episódio foi publicado originalmente em 13/08/18PLAYLIST DESTE EPISÓDIO COMPOSITOR - JOGO - MÚSICA - CONSOLE - ANO Hideki Asanaka, Marimo, Yasuo Yamate - The King of Fighters '98: The Slugfest - Cool Jam (Iori Yagami vs Kyo Kusanagi) - NEO GEO - 1998 Hiroaki Yoshida, Tatsuya Kiuchi - Street Hoop - Just 3 on 3 (Park Court) - NEO GEO - 1994 Hideki Yamamoto, Hiroaki Shimizu - Thrash Rally - Round 5 - R A C (England) - NEO GEO - 1991 Eisaku Nambu, Hiroaki Shiraishi, Kennosuke Suemura, Masaaki Nishizawa, Shigeaki Irie - Far East Of Eden: Kabuki Klash - Maiden of White Sorcery (Kinu Stage) - NEO GEO - 1995 Toshikazu Tanaka - Rage of The Dragons - Splendid String From China (Billy, Lynn) - NEO GEO - 2002 Jin Jin, Steve, Takushi Hiyamuta, Yoshimi - Neo Turf Masters - BADEN National Golf Course - Germany - NEO GEO - 1996 Hideki Yamamoto, Keiichiro Segawa, Takao Ohshima - Over Top - Operation Desert Sandstorm - NEO GEO - 1996 JIM, Takushi Hiyamuta (HIYA!) - Metal Slug - Stage 4 - NEO GEO - 1996 Akira Inoue, Takaro Nozaki - Gigandes - Speshul Atak Younit (Chapter 1: Round-37 Takes Off!) - NEO GEO - 1989 Hideki Yamamoto, Hiroaki Shimizu, Yuka Watanabe - Magician Lord - Magician Lord (Stage 1) - NEO GEO - 1990 Chiaki Iizuka, Kennosuke Suemura, Kiyomi Kataoka, Reiko Uehara - Voltage Fighter Gowcaizer - Full Warrior Gowcaizer (Gowcaizer Theme) - NEO GEO - 1995 Wolfgang Amadeus Mozart, Shinsekai Gakkyoku Zatsugidan - Real Bout Fatal Fury Special - Hapushu! Fuuuu (Cheng Sinzan) - NEO GEO - 1997Você encontra o Som do Cartucho nas seguintes plataformas:Twitter, Telegram, Blog, GMail (osomdocartucho@gmail.com)Você ouve O Som do Cartucho também em:Spotify e DeezerFeed do Som do Cartucho:https://feed.megafono.host/osomdocartucho

An iconic squad of friends have a very tumultuous senior year, including goth makeovers, diabetes, Vegas trips, and perhaps the best graduation in Degrassi history? General trigger warning in the Katie segment for discussions of the Katie/Drew rape controversy. 0:00 - Intro 0:56 - Marisol & Mo 3:53 - Marimo & friendship 13:13 - Whisperhug 18:04 - Katie & Jake (TW discussions of rape and sexual assault) 27:24 - Drew & Katie controversy and breakup 44:37 - Katie's transformation & Jatie 49:02 - Vegas & wrapping up Katie's character arc 59:46 - Jake 1:04:04 - Class of season 12 & closing thoughts

"Vera, you're so strong!"I've practically heard this for as long as I can remember. I heard it most when I left my marriage. People congratulated me for being so strong, for having the audacity to walk out of a marriage that was trampling me and robbing me of my peace. I did not understand why I was being congratulated. Should one not always leave a situation that is bad for them? But that's by the way.To be strong, one has to be emotionally resilient. Some people are strong because they've learned from other people who have coached them to be strong - through their words and/or their actions. And then there are people who are strong and emotionally resilient because life kicked them in the gut, and they had no other choice but to be strong.Emotional resilience: one's ability to be kicked in the gut and fall down, but not stay down. One's ability to function in spite of everything else. One's ability to roll with the punches. One's ability to make lemonade out of lemons. Today's guest, Ruth Marimo, is a perfect example. She did not know her father, and she lost her mother at age 4 to suicide. She eventually married an abusive man whom she had to divorce and file a restraining order against. But wait, that's not all! She came out as a lesbian and she's also now an atheist. And this isn't even everything! You'd have to listen to the episode to find out more.Tell me, how do you think life has been for her as an African woman? You think friends and family were happy that she was getting divorced? You think they patted her on her back for coming out? You think they shook her hand for becoming an atheist? Or do you think she stopped being included?Today, Ruth Marimo is a 40-year-old single mom. She has authored two books: (1) a memoir titled ‘Outsider: Crossing Borders, Breaking Rules, Gaining pride’, which chronicles her immigration journey from her country of origin, Zimbabwe, as well as the complexities of being a multiple minority, and (2) a work of fiction titled ‘Indelicate Things.' She has a residential and commercial cleaning business called Ruth’s Cleaning Service that has been growing for 6 years. When she is not busy raising her two kids, she speaks and fights for many causes including racial inequality, immigration reform, and LGBTQ equality.Connect with Ruth Marimo on Instagram, Twitter, and Facebook. Also, please watch her TEDx talk.BEFORE YOU GO, PLEASE RATE AND LEAVE A WRITTEN REVIEW ON APPLE PODCASTS. THANK YOU!Let's connect:I Am African on InstagramI Am African on TwitterI Am African on FacebookVera Ezimora on InstagramVera Ezimora on TwitterVera Ezimora on FacebookMonthly love notes in your emailWeb: www.verastic.comEmail: iamafrican@verastic.com

Stellar Firma Season 2 Q&ATim and Ben answer some of the questions that have been sent in by the fan community.Special thanks to this week's Patrons: Elizaveta, roswyrm, mirsa, eet, Amy Prehm, Christian Otholm, Toni, Ellis Beale, Jaderz, A.Ninja, a New name, Sharon Grafton, Eloise Sherrid, Leslie Safran, Mars, Stewart Smith, CirrusGrey, Emma Sandgren, Nicole Stevenson, Meg Taylor, Carine Lee, Liz, Fushi, Iain Bradley, Fire in Dark Woods, Dave (the good china, now pls), Cher Carlisle, Rashika Rao, Mithy Carlan, Ruth Anderson, Michelle M, Roo Jones, kailajay, Clara Edmonds, Marimo, DapperCyborg, DT, Samantha Minnette, Gail, Ashley Dovahkitten, Sieben, Amnesiac Stowaway, Fish, Lisa F, Ya Boi Vince, Kali Moogle, Kristine, Cyncit, Kiera Mortensen, meaty thwack.If you'd like to join them, be sure to visit www.patreon.com/rustyquill.Created by Tim Meredith and Ben MeredithProduced by Katie SeatonExecutive Producer: Alexander J NewallEditing: Maddy Searle and Alexander J NewallMusic: Samuel DF JonesArtwork: Anika KhanSubscribe using your podcast software of choice or by visiting www.rustyquill.com/subscribe and be sure to rate and review us online; it really helps us spread across the galaxy.Join our community:WEBSITE: www.rustyquill.comFACEBOOK: www.facebook.com/therustyquill/TWITTER: @therustyquillREDDIT: www.reddit.com/r/RustyQuill/DISCORD: https://discord.gg/KckTv8yEMAIL: mail@rustyquill.comStellar Firma is a podcast distributed by Rusty Quill Ltd. and Licensed under a Creative Commons Attribution Non-Commercial Sharealike 4.0 International Licence. See acast.com/privacy for privacy and opt-out information.

Case ########-12The Tragedy of Francis, a comic puppet show in all acts. Recorded by The Archivist, in Situ. Content warnings:- Emotional manipulation & abuse (including familial)- Body horror & wounding- Supernatural manipulation- Explicit language- Addiction (including smoking & drinking)- Substance abuse (including syringes)- Spiders (including SFX)- Implied queerphobia / transphobia- Humiliation- Schadenfreude and forced laughter- Maladaptive coping mechanisms & relapse Thanks to this week's Patrons: Elizaveta, roswyrm, mirsa, eet, Amy Prehm, Christian Otholm, Toni, Ellis Beale, Jaderz, A.Ninja, a New name, Sharon Grafton, Eloise Sherrid, Leslie Safran, Mars, Stewart Smith, CirrusGrey, Emma Sandgren, Nicole Stevenson, Meg Taylor, Carine Lee, Liz, Fushi, Iain Bradley, Fire in Dark Woods, Dave (the good china, now pls), Cher Carlisle, Rashika Rao, Mithy Carlan, Ruth Anderson, Michelle M, Roo Jones, kailajay, Clara Edmonds, Marimo, DapperCyborg, DT, Samantha Minnette, Gail, Ashley Dovahkitten, Sieben, Amnesiac Stowaway, Fish, Lisa F, Ya Boi Vince, Kali Moogle, Kristine, Cyncit, Kiera Mortensen, meaty thwackIf you'd like to join them visit www.patreon.com/rustyquillEdited this week by Annie Fitch, Elizabeth Moffatt, Brock Winstead & Alexander J NewallWritten by Jonathan Sims and directed by Alexander J NewallProduced by Lowri Ann DaviesPerformances:- "Martin Blackwood" - Alexander J. Newall - "The Archivist" - Jonathan Sims Sound effects this week by mlsulli, Podcapocalipsis, Raulitoto, checholio, khenshom, 6polnic, J.Zazvurek, MDRivet, Processaurus, Kinoton, lonemonk, J.Zazvurek, YleArkisto, Kinoton, Kyster, jayfrosting, Jedo, Mirko Horstmann, kyles, nervousneal, temawas, tom_woysky, JohnsonBrandEditing, harleto, gchase, 13GPanska_Markova_Lucie, abbahoot, hachiman935, dav0r, craigsmith, Aiwha, spanrucker, alirabiei, InspectorJ, FunWithSound, klankbeeld, TheWah, thaihaudio, Sandermotions, Glaneur de sons, taure, tangotango1, MrAuralization& previously credited artists via freesound.org.Check out our merchandise at https://www.redbubble.com/people/rustyquill/collections/708982-the-magnus-archives-s1You can subscribe to this podcast using your podcast software of choice, or by visiting www.rustyquill.com/subscribePlease rate and review on your software of choice, it really helps us to spread the podcast to new listeners, so share the fear.Join our community:WEBSITE: rustyquill.comFACEBOOK: facebook.com/therustyquillTWITTER: @therustyquillREDDIT: reddit.com/r/RustyQuillDISCORD: https://discord.gg/KckTv8yEMAIL: mail@rustyquill.comThe Magnus Archives is a podcast... See acast.com/privacy for privacy and opt-out information.

The party address the elephant in the room. Patreon: https://www.patreon.com/queerdungeoneersDiscord: https://discord.gg/kYgt5AgTwitter: @QueerDungeonsMerch: https://queerdungeoneers.threadless.com/Episode Transcripts: https://sites.google.com/view/queer-dungeoneers-transcripts/home "Flashing Runner", "We Collect Shiny Things", "Marimo" and "Static City Drumline" by Blue Dot Sessions (www.sessions.blue) "Wailing Souls" sound by Porphyr.

Join Alex, Helen, Bryn, Lydia and Ben as the party finally sees the sun!This week Zolf hopes for minecraft, Azu gets some stretches in, Hamid gets to make a call, Cel thinks about their future. Content warnings towards the end of the show notes.Thanks to this week's Patrons:Elizaveta, roswyrm, mirsa, eet, Amy Prehm, Christian Otholm, Toni, Ellis Beale, Jaderz, A.Ninja, a New name, Sharon Grafton, Eloise Sherrid, Leslie Safran, Mars, Stewart Smith, CirrusGrey, Emma Sandgren, Nicole Stevenson, Meg Taylor, Carine Lee, Liz, Fushi, Iain Bradley, Fire in Dark Woods, Dave (the good china, now pls), Cher Carlisle, Rashika Rao, Mithy Carlan, Ruth Anderson, Michelle M, Roo Jones, kailajay, Clara Edmonds, Marimo, DapperCyborg, DT, Samantha Minnette, Gail, Ashley Dovahkitten, Sieben, Amnesiac Stowaway, Fish, Lisa F, Ya Boi Vince, Kali Moogle, Kristine, Cyncit, Kiera Mortensen, meaty thwackIf you'd like to join them visit www.patreon.com/therustyquillEditing this week by Lowri Ann Davies, Tessa Vroom & Alexander J NewallSFX this week by hz37, nfsgit, allthingssound, diegolar, man, AnLorenzo, Fabrizio84, krnfa, juryduty, o1sound and previously credited artists via Freesound.orgMusic"Harp" by RepDac3 (https://freesound.org/people/RepDac3/sounds/348655/)Content Notes:- Infection- Isolation- Contagion- Quarantine- Mass MortalityAs always, today’s game system is available for free at d20pfsrd.comCheck out our merchandise available at https://www.redbubble.com/people/RustyQuill/shopJoin our community:WEBSITE: rustyquill.comFACEBOOK: facebook.com/therustyquillTWITTER: @therustyquillREDDIT: reddit.com/r/RustyQuillDISCORD: https://discord.gg/KckTv8yEMAIL: mail@rustyquill.comRusty Quill Gaming is a podcast distributed by Rusty Quill Ltd. and licensed under a Creative Commons Attribution Non-Commercial Share alike 4.0 International Licence. For information regarding your data privacy, visit acast.com/privacy See acast.com/privacy for privacy and opt-out information.

*some egrets. Episode 65 care package (read before listening): https://drive.google.com/file/d/1k2hdc0upIBWJlLYqrlToEaEO2v7CnN2Z/view?usp=sharing  Patreon: https://www.patreon.com/queerdungeoneersDiscord: https://discord.gg/kYgt5AgTwitter: @QueerDungeonsMerch: https://queerdungeoneers.threadless.com/Episode Transcripts: https://sites.google.com/view/queer-dungeoneers-transcripts/home "Flashing Runner", "Hickory Interlude", "Zither Sprak", "Lemania", "Marimo 1" and "We Collect Shiny Things" by Blue Dot Sessions (www.sessions.blue)Cave-in sound effect by Stephan Schutze and smashing sound by Yuri Santana

Special Rerun NOTE: all three of the reruns chosen in January and February (Jan on main feed, and Jan/Feb on rerun feed) were chosen because they have a special connection to C1E51, which hits the C1E51 feed Feb 3rd, 2020.   ----------------------------------   Today’s broadcast is Episode 40 for Theme Thursday, December 20th, 2018. Today’s Theme is Listener Picks on a program we're calling "Listener Picks - vol. 1". Guest curated by the listeners - guest hosted by the listeners! 01 - Prologue - 00:00:0002 - Intro - 00:00:1003 - Wizards and Warriors – NES – Opening Theme – David Wise – Phillip Vaughn - 00:02:3804 - Super Smash Bros. Ulitmate  - SWITCH – Lifelight (Main Theme – English Vocals) - Hideki Sakamoto – The Messenger - 00:03:1305 - Twisted Metal 4 – PS1 – Neon City – Chuck Doud – Phillip Vaughn - 00:06:5606 - King of Fighters 2000 – multi – Inner Shade – Hideki Asanaka, Marimo, USAKO-X, Yasuo Yamate, and/or ZOE – Justin Regan - 00:11:2007 - Undertale - multi - Metal Crusher - Toby Fox - Jeshua Lack - 00:14:3608 - Ginga Ojousama Densetsu Yuna FX: Kanashimi no Siren – PCFX – BGM# 20 – Takanori Arisawa and/or Aya Tanaka – KeyGlyph - 00:16:5109 - Tower of Heaven – PC – Luna Ascension – Flashygoodness – Adam Huisman - 00:18:1710 - Alter Ego Dreamwalker – multi – Hunters (Menu) - Coda, and/or Kulor – Chris Murray - 00:20:4311 - PunchOut - NES - In-Game Theme - Yukio Kaneoka, Akito Nakatsuka and/or Kenji Yamamoto - Brian Peterson - 00:21:5612 - Crackin' DJ Part 2 - Arcade - Seven O' Clock - c: Hiroshi Kawaguchi / a: Mitsuharu Fukuyama - Electric Boogaloo - 00:23:4013 - Toe Jam and Earl – Genesis – Rapmaster Rocket Racket – John Baker – Jeshua Lack - 00:25:4714 - Runner 3 – multi – CommanderVideo Runs Again – Matthew Harwood – Kris Randazzo - 00:29:3615 - Majula Frontier – PC – Into the Abyss – Dale North – Chris Murray - 00:32:3116 - DOOM (2016) - multi – Transistor Fist – Mick Gordon – Eric Barks - 00:34:3517 - Castlevania III  - NES – Riddle – Konami Kukeiha Club – Valerie Wedgeworth - 00:40:3718 - Wild Guns - SNES - Final Fight - Hiroyuki Iwatsuki and/or Harou Ohashi - Deirdre Fischer (aka Pieness 64) - 00:41:4019 - Genji Tsuushin Agedama – PC Engine – BGM# 06 – T's Music – KeyGlyph - 00:43:1620 - Pigskin 621 A.D. - Arcade - First Half - Dan Forden - Electric Boogaloo - 00:44:5721 - Aldynes: The Mission Code for Rage Crisis – Supergrafx – Stage 6 – Keita Hoshi – KeyGlyph - 00:48:0022 - Skyroads – PC (AdLib) - Road 8 – Ott M. Aaloe, Hasso Bruck – Justin Regan - 00:49:2923 - Lady Sword: Ryakudatsu Sareta 10 Nin no Otome – PC Engine – 1F-3F – Unknown – Justin Regan - 00:52:2824 - Kirby's Dream Land - GameBoy - Castle Lololo - Jun Ishikawa - Brian Peterson - 00:54:0825 - Earthbound – SNES – Onett Theme – Keiichi Suzuki, and/or Hirokazu (Hip) Tanaka – Phillip Vaughn - 00:56:0326 - Kero Blaster – multi – Hinterland Fort  (It's My Blaster)– Daisuke "Pixel" Amaya – Kris Randazzo - 00:58:2327 - Mega Man 11 – multi – Bounce Man Stage – Marika Suzuki – Kris Randazzo - 01:01:4728 - Super Hyperactive Ninja – multi – Tower 4 Main – Michael Nestrogen Raisner – Michael Nestrogen Raisner - 01:03:5229 - Resident Evil – PS1 – End Credits – Makoto Tomozawa, Akira Kaida, and/or Masami Ueda – John Jekel - 01:05:3930 - Modaozi - PC - Credits - Unknown - Oke Music - 01:08:4131 - Metal Black - Arcade - Dual Moon - Yasuhisa Watanabe - Electric Boogaloo - 01:10:0732 - Journey – PS3 / PS4 – Apothesis – Austin Wintory – Adam Huisman - 01:12:4433 - Chrono Cross – PS1 – Dead Sea / Ruined Tower – Yasunori Mitsuda – Amber Peary - 01:19:3134 - Legend of Mana – PS1 – City of Flickering Destruction – Yoko Shimomura – Amber Peary - 01:22:2935 - Resident Evil 2 – PS1 – End Credits – Masami Ueda – John Jekel - 01:25:4136 - Life is Strange – multi – Spanish Sahara – Foals – Amber Peary - 01:28:0937 - Celeste – Multi – Resurrections – Lena Raine – Chris Murray - 01:34:4638 - Ginga Ojousama Densetsu Yuna FX: Kanashimi no Siren – PCFX – BGM# 04 - Takanori Arisawa and/or Aya Tanaka – KeyGlyph - 01:44:1939 - Botanicula – multi – Juchu – DVA, Bara Kratochvilova, and/or Jan Kratochvilova – Adam Huisman - 01:47:0140 - Ecco: Defender of the Future - Dreamcast – Hanging Waters - Tim Follin - Electric Boogaloo - 01:50:3441 - Kerbal Space Program – multi – Space Music (Track 2) - Victor Machado – Jeshua Lack - 01:53:0142 - Spark the Electric Jester – PC – Smog City Sewers (Stage 4) - Faulk Au Yeong, Pejman Roozbeh, James Landino, Andy Tunstall, Paul Bethers, and/or Michael Staple - The Diad - 01:54:3643 - Outro - 01:58:4744 - Blooper Reel - 02:12:48 Music Block Runtime: 01:56:13, Total Episode Runtime: 02:25:51 Our Intro and Outro Music is Funky Radio - Dreamcast - BB Rights

Nesta semana 'O Som do Cartucho' chega com o pé na porta e tapa na cara, com um episódio recheado do mais variados temas musicais para os jogos de luta da 4ª geração. Esteja avisado que alguma coisa da CAPCOM e da SNK será abordado aqui. No entanto, o foco dos jogos de luta irá passar bem distante dessas gigantes softhouses; mas, não menos sensacionais. É isso nos encontramos na próxima semana. Falow!!Este episódio foi publicado originalmente em 16/04/2018PLAYLIST DESTE EPISÓDIOCOMPOSITOR - JOGO - MÚSICA - CONSOLE - ANOShinji Amagishi, Asshii, Yoko Mizuta - Dragon Ball Z: Bu Yuu Retsuden - Battle Theme 1 - MEGA DRIVE - 1994 Hiroyuki Iwatsuki, Haruo Ohashi - Shin Kidou Senki Gundam W: Endless Duel - Desert - SUPER FAMICOM - 1996 Hidehito Aoki, Misaki Okibe - Power Instinct - Keith Wayne - SNES - 1994 Miki Higashino - Teenage Mutant Ninja Turtles: Tournament Fighters - Leonardo's Stage - MEGA DRIVE - 1993 Akihiko Mori - Seifuku Densetsu Pretty Fighter - Rooftop - SUPER FAMICOM - 1994 Toshikazu Tanaka, Yoshihiko Kitamura - Street Smart - Stage 1 (City Streets), Stage 8 (White House) - MEGA DRIVE - 1991 Hideki Suzuki - Deadly Moves (AKA Power Athlete) - Russian Stage - MEGA DRIVE - 1992 Yoko Shimomura - Super Street Fighter 2: The New Challengers - Guile - SNES - 1994 Masaki Kase, Hiromitsu Shioya - Fighting Masters - Continue - MEGA DRIVE - 1992 Iku Mizutani, Kinuyo Yamashita, Hiroyuki Iwatsuki - Zen Nihon Pro Wrestling Dash: Sekai Saikyou Tag - Theme of Johnny Ace - SUPER FAMICOM - 1993 Masakatsu Maekawa - Super Variable Geo - Yuka - SUPER FAMICOM - 1995 Hideki Asanaka, Marimo, Yasuo Yamate - The King of Fighters '98: The Slugfest - Art of Fight (Art of Fighting Team) - NEO GEO - 1998 Treasure Kamidanomi Ongakutai (T.K.O.) - Yuu Yuu Hakusho: Makyou Touitsusen - Sub-Space 2 BGM - MEGA DRIVE - 1994Você encontra o Som do Cartucho nas seguintes plataformas:Twitter, Telegram, Blog, GMail (osomdocartucho@gmail.com)Você ouve O Som do Cartucho também em:iTunes, Google Podcasts, Spotify e DeezerFeed do Som do Cartucho:https://feed.megafono.host/osomdocartucho

In the fifth episode of Independent Animation, our companion podcast series to the Skwigly tie-in book "Independent Animation: Developing, Producing and Distributing Your Animated Films" (Taylor & Francis/CRC Press), we remember the phenomenal work of Dutch filmmaker Rosto, who sadly passed away earlier this year. With a body of work spanning 20 years and all manner of mixed-media approaches, Rosto's films perfectly married his enthusiasm for music with captivating, dreamlike and, at times, horrifying visual storytelling. This podcast features our final interview with Rosto (originally conducted for Marimo magazine), discussing the concluding chapter of his Thee Wreckers tetralogy "Reruns".

Who is Kremora Magnus? And is there any hope left for her? CW: death and murder, abusive/toxic relationships (romantic/parental), enclosed spaces, child endangerment. Patreon: https://www.patreon.com/queerdungeoneersDiscord: https://discord.gg/kYgt5AgTwitter: @QueerDungeonsMerch: https://queerdungeoneers.threadless.com/Episode Transcripts: https://sites.google.com/view/queer-dungeoneers-transcripts/home "We Collect Shiny Things", "Dangerous Swing", "Dolly and Pad", "A Simple Blur", "Vik Fence Drona", Just the Feeling in the Room", "Flashing Runner", "Night Light", "Lemania", and "Marimo 1" by Blue Dot Sessions (www.sessions.blue)

Today’s broadcast is Episode 40 for Theme Thursday, December 20th, 2018. Today’s Theme is Listener Picks on a program we're calling "Listener Picks - vol. 1". Guest curated by the listeners - guest hosted by the listeners!   01 - Prologue - 00:00:00 02 - Intro - 00:00:10 03 - Wizards and Warriors – NES – Opening Theme – David Wise – Phillip Vaughn - 00:02:38 04 - Super Smash Bros. Ulitmate  - SWITCH – Lifelight (Main Theme – English Vocals) - Hideki Sakamoto – The Messenger - 00:03:13 05 - Twisted Metal 4 – PS1 – Neon City – Chuck Doud – Phillip Vaughn - 00:06:56 06 - King of Fighters 2000 – multi – Inner Shade – Hideki Asanaka, Marimo, USAKO-X, Yasuo Yamate, and/or ZOE – Justin Regan - 00:11:20 07 - Undertale - multi - Metal Crusher - Toby Fox - Jeshua Lack - 00:14:36 08 - Ginga Ojousama Densetsu Yuna FX: Kanashimi no Siren – PCFX – BGM# 20 – Takanori Arisawa and/or Aya Tanaka – KeyGlyph - 00:16:51 09 - Tower of Heaven – PC – Luna Ascension – Flashygoodness – Adam Huisman - 00:18:17 10 - Alter Ego Dreamwalker – multi – Hunters (Menu) - Coda, and/or Kulor – Chris Murray - 00:20:43 11 - PunchOut - NES - In-Game Theme - Yukio Kaneoka, Akito Nakatsuka and/or Kenji Yamamoto - Brian Peterson - 00:21:56 12 - Crackin' DJ Part 2 - Arcade - Seven O' Clock - c: Hiroshi Kawaguchi / a: Mitsuharu Fukuyama - Electric Boogaloo - 00:23:40 13 - Toe Jam and Earl – Genesis – Rapmaster Rocket Racket – John Baker – Jeshua Lack - 00:25:47 14 - Runner 3 – multi – CommanderVideo Runs Again – Matthew Harwood – Kris Randazzo - 00:29:36 15 - Majula Frontier – PC – Into the Abyss – Dale North – Chris Murray - 00:32:31 16 - DOOM (2016) - multi – Transistor Fist – Mick Gordon – Eric Barks - 00:34:35 17 - Castlevania III  - NES – Riddle – Konami Kukeiha Club – Valerie Wedgeworth - 00:40:37 18 - Wild Guns - SNES - Final Fight - Hiroyuki Iwatsuki and/or Harou Ohashi - Deirdre Fischer (aka Pieness 64) - 00:41:40 19 - Genji Tsuushin Agedama – PC Engine – BGM# 06 – T's Music – KeyGlyph - 00:43:16 20 - Pigskin 621 A.D. - Arcade - First Half - Dan Forden - Electric Boogaloo - 00:44:57 21 - Aldynes: The Mission Code for Rage Crisis – Supergrafx – Stage 6 – Keita Hoshi – KeyGlyph - 00:48:00 22 - Skyroads – PC (AdLib) - Road 8 – Ott M. Aaloe, Hasso Bruck – Justin Regan - 00:49:29 23 - Lady Sword: Ryakudatsu Sareta 10 Nin no Otome – PC Engine – 1F-3F – Unknown – Justin Regan - 00:52:28 24 - Kirby's Dream Land - GameBoy - Castle Lololo - Jun Ishikawa - Brian Peterson - 00:54:08 25 - Earthbound – SNES – Onett Theme – Keiichi Suzuki, and/or Hirokazu (Hip) Tanaka – Phillip Vaughn - 00:56:03 26 - Kero Blaster – multi – Hinterland Fort  (It's My Blaster)– Daisuke "Pixel" Amaya – Kris Randazzo - 00:58:23 27 - Mega Man 11 – multi – Bounce Man Stage – Marika Suzuki – Kris Randazzo - 01:01:47 28 - Super Hyperactive Ninja – multi – Tower 4 Main – Michael Nestrogen Raisner – Michael Nestrogen Raisner - 01:03:52 29 - Resident Evil – PS1 – End Credits – Makoto Tomozawa, Akira Kaida, and/or Masami Ueda – John Jekel - 01:05:39 30 - Modaozi - PC - Credits - Unknown - Oke Music - 01:08:41 31 - Metal Black - Arcade - Dual Moon - Yasuhisa Watanabe - Electric Boogaloo - 01:10:07 32 - Journey – PS3 / PS4 – Apothesis – Austin Wintory – Adam Huisman - 01:12:44 33 - Chrono Cross – PS1 – Dead Sea / Ruined Tower – Yasunori Mitsuda – Amber Peary - 01:19:31 34 - Legend of Mana – PS1 – City of Flickering Destruction – Yoko Shimomura – Amber Peary - 01:22:29 35 - Resident Evil 2 – PS1 – End Credits – Masami Ueda – John Jekel - 01:25:41 36 - Life is Strange – multi – Spanish Sahara – Foals – Amber Peary - 01:28:09 37 - Celeste – Multi – Resurrections – Lena Raine – Chris Murray - 01:34:46 38 - Ginga Ojousama Densetsu Yuna FX: Kanashimi no Siren – PCFX – BGM# 04 - Takanori Arisawa and/or Aya Tanaka – KeyGlyph - 01:44:19 39 - Botanicula – multi – Juchu – DVA, Bara Kratochvilova, and/or Jan Kratochvilova – Adam Huisman - 01:47:01 40 - Ecco: Defender of the Future - Dreamcast – Hanging Waters - Tim Follin - Electric Boogaloo - 01:50:34 41 - Kerbal Space Program – multi – Space Music (Track 2) - Victor Machado – Jeshua Lack - 01:53:01 42 - Spark the Electric Jester – PC – Smog City Sewers (Stage 4) - Faulk Au Yeong, Pejman Roozbeh, James Landino, Andy Tunstall, Paul Bethers, and/or Michael Staple - The Diad - 01:54:36 43 - Outro - 01:58:47 44 - Blooper Reel - 02:12:48   Music Block Runtime: 01:56:13, Total Episode Runtime: 02:25:51   Our Intro and Outro Music is Funky Radio - Dreamcast - BB Rights   If you wish to subscribe to the "Noise from the Hearts of Nerds" podcast - audio-only, there are two options:   Option 1: Subscribe right here to the "Nerd Noise Radio Network - All Channels" podcast feed. Feed will include Channels 1, 2, 3, and any future channels not yet planned. Feed will also include podcasts in high quality, stereo where applicable, and episodes will never expire off the feed. Therefore it is STRONGLY recommended that you subscribe to this Nerd Noise Radio feed and bypass all others. This one will contain all their content anyway.   Option 2: If you're ONLY interested in Channel 1  ("Noise from the Hearts of Nerds") episodes, and not in any of the other content that is or will be offered by Nerd Noise Radio, there is a Channel 1-specific feed. But it's hosted on a free account, rather than an upgraded account like the "All Channels Feed" with lower quality sound (mono, I believe), a maximum 2hrs per month of content (so if the month's episodes run longer than that, they may need to be trimmed), and episodes expire off the feed forever after 90 days. It is STRONGLY recommended for most listeners to subscribe to the All-Channels feed instead. However, if you really are only interested in Channel 1 content, here's the RSS:    http://www.buzzsprout.com/77944.rss   Our episodes will also appear on our Nerd Noise Radio YouTube Channel - just search for Nerd Noise Radio, you'll find us! Here's today's episode:   https://youtu.be/MJAowPusA5Q   Additionally, there are YouTube Playlists you can follow, both an "All Channels" Feed (recommended), as well as channel-specific feeds. You can find them here:   Nerd Noise Radio Network - All Channels Podcast Feed   Nerd Noise Radio - Channel 1 podcast   Nerd Noise Radio is now available on Twitch as well! Episodes 21 and forward will be uploaded as they're released, with the backlog of earlier episodes to follow. You can find us here:   https://www.twitch.tv/nerdnoiseradio     You can also find us on The Retro Junkies Network:   www.retrojunkies.com   You can find us (and all of our episodes) as "Nerd Noise Radio" on Archive.org and can also find us and join the conversation on both our Nerd Noise Radio Network Facebook, Google+, and Twitter pages, as well as our Facebook and Google+ "Nerd Noise Radio - Easy Mode" and "Nerd Noise Radio - Expert Mode" groups.    https://archive.org/details/@nerd_noise_radio https://twitter.com/NerdNoiseRadio https://www.facebook.com/NerdNoiseRadioNetwork/ https://www.facebook.com/groups/276843385859797/ https://www.facebook.com/groups/381475162016534/ https://plus.google.com/u/0/116712079232328588606 https://plus.google.com/u/0/b/115513825710696980758/116712079232328588606?pageId=115513825710696980758   Lastly, we share our episodes as well on our blog at nerdnoiseradio.blogspot.com. This specific episode can be found here:   https://nerdnoiseradio.blogspot.com/2018/12/nerd-noise-radio-channel-1-noise-from.html   As always, your feedback and input is DEEPLY appreciated, so we cheerfully invite you to "blow up the comments section", or you can always reach us by e-mail at nerdnoiseradio@gmail.com as well as all the aforementioned social media outlets.   Thanks for listening! Be on the lookout for Part 2 to our listener pick party! Part 2 will be a Channel F "F-isode", and will be in a completely different format. Date TBD, though as soon as possible. Probably not before Christmas, but quite possibly before New Year's. Stay tuned! Then join us again in January (date TBD) for a very special announcement about the future of the show. It's not going away - far from it! But big changes are coming for 2019. Make sure you tune it! And wherever you are - Fly the N!   Cheers!

Today Karina from Sacred Elements is back, talking about marimo moss balls, which sound like a dirty plant name, don't they? They're a super unique 'plant' that are found in cold lakes in a few countries around the world, but are now cultivated commercially. Find out how to care for these bad boys. Karina is a "Jill of all trades" and has an incredible aesthetic eye, boundless creativity and a fantastic mind for houseplant care. Hope you enjoy the show. Learn More: Karina's Website Karina's Instagram Using Carbonated Water on Your Marimo Moss Balls Buy Marimo Moss Balls Keep Growing, Kevin Support Epic Gardening Support Epic Gardening on Patreon Follow Epic Gardening YouTube Instagram Pinterest Facebook Facebook Group Buy the Epic Soil Starter Organic Fertilizer! How do you super-charge your soil with good, inexpensive organic matter? That was the question I sought to answer when I designed this custom-mixed fertilizer with my friends over at Garden Maker Naturals. It's designed to take your ordinary raised bed garden soil and give it enough organic matter to kick-start your growing season. Order Your Epic Soil Starter Here  

Marimo moemaja looja ja disainer Mariliis Pikkar sai aasta alguses pisikese tütre, aga ei jäänud loorberitele puhkama ja pereelule üksinda pühenduma, vaid jätkas ka oma karjääri. Kuula, kuidas on võimalik samal ajal lapse kõrvalt oma tööga jätkata ja mida head see pereelule juurde annab. Vestlust juhib Meisi Volt.

Tokrat se s kresničkami izogibamo netopirjem, urejamo ritem z marimo kroglicami, jemo zelje, zelje in zelje, se plazimo s plakozoi in kosamo žrtve s...

We talk about StarBucks & the arrest, Love & Whoo'ing, & We play a fun game of NEVER HAVE I EVER with some whisky.Also I showcase my first "BLACK OWNED" Liqueur on the show that we made Sangrias with.This episode was so much fun. Thank you to all the phone in guest and of course to MariMo for joining me every month for Life Love & Sex.Follow me on IG & Twitter @ MyCVoicePodcast Follow MariMo on IG @ TheMariMoShow & Look for her Youtube channel coming soon.Intro/Outro Music by Fleslit

Every First Monday of the Month We Bring You Life Love & Sex Talk On "My Voice with Dara & Friends".In this Episode we go from talking about parenting to pussy... Yes the conversation gets really weird, but hey thats Life Love & Sex.Please remember to SUBSCRIBE to my podcast LIKE COMMENT & SHARE....Instagram @MyVoice.TheShow & @Dara_AyanaAlso Follow @TheMariMoShowWordPress: https://myvoicetheshow.wordpress.comSoundClound: https://soundcloud.com/myvoicetheshowThank You to MariMo for Joining me as co-host for Life Love & Sex.Beat Made By: Music Artist Fleslit from his Single "Right Now"

Something a little different for you - growing algae balls in water indoors! I figured I'd mix it up from the edible / Spring topics for today :) Keep Growing, Kevin Podcast Sponsor: Garden Maker Naturals Natural and organic fertilizers with complete ingredient transparency, custom-mixed for your garden's unique needs. Check it out by clicking this link and tell them Kevin from Epic Gardening sent you! Follow Epic Gardening Everywhere: YouTube Instagram Pinterest Facebook Facebook Group Twitter

Life, Love & Sex... I sit down with MariMo to discuss it all. Life Love & Sex, we answer all your question and we debate on the issues.To follow along don't forget to subscribe, share, and Rate the show.Go follow MariMo on IG @themarimoshow ]& Follow my podcast @MyVoice.TheShow ]NEVER MISS A SHOWNEE Episodes EVERY week!!!EVERY 1st MONDAY - Join us here to discuss Life, Love & Sex.SUBSCRIBE!!! SUBSCRIBE!!! SUBSCRIBE!!!Listen on iTunes Podcast - SoundCloud - Spreaker

Ande kado programo lel opre o Marek pa marimo ando kher. Sostar marenpe jek romji taj jek rom , taj so kerel o chamo andi familia. Sostar naj slobodo te mares shavoren taj so kerel kodo lenge ando trajo. Si ame guestura o Mirsad Sahiti taj i Dolly katar o Malmö Ungdomscentral.

Smart and funny writer Cole Nowicki joins the co-ghosts to discuss hogs, Jean-Luc Picard, and bed jumping.

Smart and funny writer Cole Nowicki joins the co-ghosts to discuss hogs, Jean-Luc Picard, and bed jumping.

What even is Teekyu? The Matts get to the bottom of this mystery and investigate what has kept this trendsetter going for so long. What they discover may surprise you... or not. Whatever. Teekyu doesn't seem to care; why should you? Just don't think about it. Also reviewed are its two spinoff series, Takamiya Nasuno Desu and Usakame.

Reconsider the Odyssey in "Two Sides to Every Tale: The Laestrygonians" ***  All three of the backing tracks for this story were taken from the Free Music Archive.  The first track is titled “Farm Montage (Instrumental)”and the second “New England is Interesting,” both original pieces from the album Old Paper Houses by BOPD. They are being used under Creative Commons Attribution-NonCommercial 3.0 Unported Licenses.   The last track is titled “Marimo” and is by Blue Dot Sessions.  It is being used under a Creative Commons Attribution-NonCommercial 4.0 International License.    

Noche de guitarra con Marimo Sugahara. Nacida en la ciudad de Osaka, desde muy joven una sus grandes pasiones ha sido la guitarra acústica. Ganadora de prestigiosos premios en su país natal, Marimo pisó México por primera vez hace casi 20 años, tiempo desde el cual ha participado en numerosos conciertos y festivales culturales. Descubre más sobre la vida, trayectoria y futuras apariciones de esta talentosa guitarrista y compositora japonesa, quien indudablemente a adoptado a México como su segundo hogar.

Noche de guitarra con Marimo Sugahara. Nacida en la ciudad de Osaka, desde muy joven una sus grandes pasiones ha sido la guitarra acústica. Ganadora de prestigiosos premios en su país natal, Marimo pisó México por primera vez hace casi 20 años, tiempo desde el cual ha participado en numerosos conciertos y festivales culturales. Descubre más sobre la vida, trayectoria y futuras apariciones de esta talentosa guitarrista y compositora japonesa, quien indudablemente a adoptado a México como su segundo hogar.