Video wird geladen...

Video konnte nicht geladen werden

Beim Laden dieses Videos ist ein Problem aufgetreten. Dies könnte an einem vorübergehenden Netzwerkproblem liegen oder das Video ist möglicherweise nicht verfügbar.

For those interested, I also have my own approach to the problem, though I forgot to properly advertise it: While Marc-André Moreau's solution rely on the API, in my case I give direct access to WinDbg to the agent. It allows for instance to have an agent join you... show more

Kevin Gosse

5,768 subscribers

12,850 Aufrufe • vor 1 Monat •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

0 Kommentare

Keine Kommentare verfügbar

Kommentare vom Original-Post werden hier angezeigt

Ähnliche Videos

it really doesnt matter if your agent uses the cli or mcp what really matters is how to best enable ur agents to build autonomously for u without the crossmint cli tool my agent would have to use the browser and get my input in every step. now i just let it run see how i do it

it really doesnt matter if your agent uses the cli or mcp what really matters is how to best enable ur agents to build autonomously for u without the crossmint cli tool my agent would have to use the browser and get my input in every step. now i just let it run see how i do it

joyce

14,133 Aufrufe • vor 7 Monaten

Right now, I have a few dozen tools to automate my life. Every single thing that I do more than once every week is now a tool: either a Claude Code skill, a scheduled workflow, or an application. • I spend the time doing this once. • I schedule it. • I forget about it (or at least, try to) CREAO is one of the platforms I've used extensively for building some of these automations. They are partnering with me on this post. They are one of the only platforms where you can go from a conversation to a scheduled agent that quickly. This is how it works: 1. You describe the problem you want to solve 2. CREAO's agent builds the logic and executes it 3. You can iterate with the agent to improve the solution 4. When you are done, you turn that solution into a mini app 5. You can schedule that app to run any time you need it Something important: These agents are deterministic. They don't use an LLM to generate answers, so they will always return the same output given the same input. This is critical: when you're automating something that runs every Monday at 9 am, you need it to return the same result every time, not a "creative" answer.

Right now, I have a few dozen tools to automate my life. Every single thing that I do more than once every week is now a tool: either a Claude Code skill, a scheduled workflow, or an application. • I spend the time doing this once. • I schedule it. • I forget about it (or at least, try to) CREAO is one of the platforms I've used extensively for building some of these automations. They are partnering with me on this post. They are one of the only platforms where you can go from a conversation to a scheduled agent that quickly. This is how it works: 1. You describe the problem you want to solve 2. CREAO's agent builds the logic and executes it 3. You can iterate with the agent to improve the solution 4. When you are done, you turn that solution into a mini app 5. You can schedule that app to run any time you need it Something important: These agents are deterministic. They don't use an LLM to generate answers, so they will always return the same output given the same input. This is critical: when you're automating something that runs every Monday at 9 am, you need it to return the same result every time, not a "creative" answer.

Santiago

13,727 Aufrufe • vor 6 Monaten

What if you can build an Agent with it own computer in a single api call? At my Google I/O talk, I showed how to use Gemini Managed Agents and the new Interactions API to give your AI a secure, hosted Linux sandbox to execute code and manage its own memory.

What if you can build an Agent with it own computer in a single api call? At my Google I/O talk, I showed how to use Gemini Managed Agents and the new Interactions API to give your AI a secure, hosted Linux sandbox to execute code and manage its own memory.

Philipp Schmid

21,769 Aufrufe • vor 4 Monaten

🥧 Introducing GooeyPi - A GUI for the Pi Family of Agents. Supports: Pi, Oh-My-Pi (OMP), and Prime Agent Very excited to share this with you all. Being into local models, I wanted to have a separate harness for my local models so I don't have to constantly switch configs. And I didn't want to go back to the TUI (nerds). But, I didn't want to miss out on all the features that I know and love. Turns out, I didn't have to. I just needed to build it myself. So I did. Features include: > Fully featured GUI experience > Agentic Browser > Realtime Voice Agent > Voice transcription (local or API) > Computer Use > Automation Desk > Agent to Agent messaging > Ask Question Tool > Git Control > Terminal > Pets > and more I tried to capture all of the most popular features I could in this first pass, but we're only just getting started. Available in BETA on MacOS, Linux, and Windows. I need testers! I have only tested on Mac and Linux. If you want to help me with this project, please reach out. Available:

🥧 Introducing GooeyPi - A GUI for the Pi Family of Agents. Supports: Pi, Oh-My-Pi (OMP), and Prime Agent Very excited to share this with you all. Being into local models, I wanted to have a separate harness for my local models so I don't have to constantly switch configs. And I didn't want to go back to the TUI (nerds). But, I didn't want to miss out on all the features that I know and love. Turns out, I didn't have to. I just needed to build it myself. So I did. Features include: > Fully featured GUI experience > Agentic Browser > Realtime Voice Agent > Voice transcription (local or API) > Computer Use > Automation Desk > Agent to Agent messaging > Ask Question Tool > Git Control > Terminal > Pets > and more I tried to capture all of the most popular features I could in this first pass, but we're only just getting started. Available in BETA on MacOS, Linux, and Windows. I need testers! I have only tested on Mac and Linux. If you want to help me with this project, please reach out. Available:

am.will

161,714 Aufrufe • vor 1 Monat

Mearsheimer also makes the case that it simply won't work as he doesn't believe there's a military solution here: "I don't think that [Israel] can beat Hamas on the battlefield and even if [they] do some other group will come to take their place. And I don't believe you can beat the Palestinians into submission." Instead he says "what you have to do is come up with a political solution", which everyone "fully understands" is the 2-state solution. However he says "the Israelis have - except on one occasion - never been really interested in even trying to achieve a 2-state solution."

Mearsheimer also makes the case that it simply won't work as he doesn't believe there's a military solution here: "I don't think that [Israel] can beat Hamas on the battlefield and even if [they] do some other group will come to take their place. And I don't believe you can beat the Palestinians into submission." Instead he says "what you have to do is come up with a political solution", which everyone "fully understands" is the 2-state solution. However he says "the Israelis have - except on one occasion - never been really interested in even trying to achieve a 2-state solution."

Arnaud Bertrand

124,029 Aufrufe • vor 2 Jahren

ex-Amazon VP (Ethan Evans): "One of the hardest things for people to understand is I've identified a legitimate weakness in my boss. I go to my skip. Why doesn't he do something? Well, if you come to me with a weakness in one of my employees, there is subconsciously this process that goes on that says, I have two choices. I can believe that you're overly sensitive and high maintenance. In which case, I don't really have a problem. You are the problem. And you know, you're two levels down for me. So if you quit, well, the manager has to do the backfill. And I can tell the manager, you know, Ryan was here. He said this, that and the other. Maybe you can work with him. And that's exactly what you don't want is me ratting you out. But I can make it my manager's problem. On the other hand, if I agree with you and I'm like, you know what, this manager I have really isn't that good. Now I have three problems. This is really bad for me. One, I have to decide what to do with my manager. Maybe I have to manage them out. Two, if I do manage them out, I have to hire and train somebody else. And three, while they're gone, I have to do all their work myself. So you can see why, even if it's subconscious, I have a lot of reasons not to listen "

ex-Amazon VP (Ethan Evans): "One of the hardest things for people to understand is I've identified a legitimate weakness in my boss. I go to my skip. Why doesn't he do something? Well, if you come to me with a weakness in one of my employees, there is subconsciously this process that goes on that says, I have two choices. I can believe that you're overly sensitive and high maintenance. In which case, I don't really have a problem. You are the problem. And you know, you're two levels down for me. So if you quit, well, the manager has to do the backfill. And I can tell the manager, you know, Ryan was here. He said this, that and the other. Maybe you can work with him. And that's exactly what you don't want is me ratting you out. But I can make it my manager's problem. On the other hand, if I agree with you and I'm like, you know what, this manager I have really isn't that good. Now I have three problems. This is really bad for me. One, I have to decide what to do with my manager. Maybe I have to manage them out. Two, if I do manage them out, I have to hire and train somebody else. And three, while they're gone, I have to do all their work myself. So you can see why, even if it's subconscious, I have a lot of reasons not to listen "

Ryan Peterman

1,249,200 Aufrufe • vor 5 Monaten

AI power users are here and the case for agent-friendly software is materializing. Aaron Levie on agents outnumbering people 1000x: "If you start to imagine that we all have to build software for agents… we spend as much time now thinking about the agent interface to our tool as we do the human interface." "If you have a hundred or a thousand times more agents than people, then your software has to be built for agents… it's going to be through an API or a CLI or MCP." "What if you give a coding agent access to your SaaS tools and a coding agent access to your knowledge work, workflows and context?" "It can actually code its way or use APIs through whatever task it's trying to achieve." "That appears to be like a paradigm that is starting to compound… and I actually think it kind of makes sense as the ultimate manifestation of this stuff." Aaron Levie

AI power users are here and the case for agent-friendly software is materializing. Aaron Levie on agents outnumbering people 1000x: "If you start to imagine that we all have to build software for agents… we spend as much time now thinking about the agent interface to our tool as we do the human interface." "If you have a hundred or a thousand times more agents than people, then your software has to be built for agents… it's going to be through an API or a CLI or MCP." "What if you give a coding agent access to your SaaS tools and a coding agent access to your knowledge work, workflows and context?" "It can actually code its way or use APIs through whatever task it's trying to achieve." "That appears to be like a paradigm that is starting to compound… and I actually think it kind of makes sense as the ultimate manifestation of this stuff." Aaron Levie

a16z

42,152 Aufrufe • vor 1 Monat

The #1 problem with coding agents right now: Ask them to solve one problem, and they will make 10 other changes you didn't want. This happens to me every day. It happens to everyone I talk to as well. We have a solution for this now. The team Augment Code released a "Task List" feature for their coding assistant that solves this problem. Augment Code is partnering with me on this post. In case you haven't used them before: • Augment Code is a fully-fledged coding assistant • Their specialty are large projects • Fastest coding indexing I've seen • Has a free forever community edition Now, you can ask their coding agent to generate a Task List before doing anything. This will give you a plan you can review, edit, and augment if you need to. You can export this plan, load it on a different session, or even share it across projects. It makes a huge difference: The task list constrains the agent so you won't get any "unintended" changes anymore. It also puts you in control of everything the agent does. Check the video to see the agent working through a task list. You can also try this 100% free: (By the way, they also have support for remote agents. You can basically have those agents write your code while you are sleeping.)

The #1 problem with coding agents right now: Ask them to solve one problem, and they will make 10 other changes you didn't want. This happens to me every day. It happens to everyone I talk to as well. We have a solution for this now. The team Augment Code released a "Task List" feature for their coding assistant that solves this problem. Augment Code is partnering with me on this post. In case you haven't used them before: • Augment Code is a fully-fledged coding assistant • Their specialty are large projects • Fastest coding indexing I've seen • Has a free forever community edition Now, you can ask their coding agent to generate a Task List before doing anything. This will give you a plan you can review, edit, and augment if you need to. You can export this plan, load it on a different session, or even share it across projects. It makes a huge difference: The task list constrains the agent so you won't get any "unintended" changes anymore. It also puts you in control of everything the agent does. Check the video to see the agent working through a task list. You can also try this 100% free: (By the way, they also have support for remote agents. You can basically have those agents write your code while you are sleeping.)

Santiago

41,738 Aufrufe • vor 1 Jahr

Most AI tools today are just command-takers. You type, it responds. You click, it executes. There's truly no learning, no memory, no adaptation. You're still doing most of the work. Which is why Miles by Avo on Solana would make so much sense if built well. From what I understand so far, miles learns about you over time, adapts to how you operate, and figures out the tools you struggle to navigate on your own. Less clicking, more conversation, the more you use it, the better it gets at working with you, not just for you. That shift from command-follower to learning companion is bigger than it sounds. It's the difference between a tool and an agent that actually knows you. The second one is Agent Grid and this one is for builders and power users. But as I mentioned in this video, I'm still studying the Agent Grid. I'd come talk about it once I learn properly about it. Souren just keeps shipping!

Most AI tools today are just command-takers. You type, it responds. You click, it executes. There's truly no learning, no memory, no adaptation. You're still doing most of the work. Which is why Miles by Avo on Solana would make so much sense if built well. From what I understand so far, miles learns about you over time, adapts to how you operate, and figures out the tools you struggle to navigate on your own. Less clicking, more conversation, the more you use it, the better it gets at working with you, not just for you. That shift from command-follower to learning companion is bigger than it sounds. It's the difference between a tool and an agent that actually knows you. The second one is Agent Grid and this one is for builders and power users. But as I mentioned in this video, I'm still studying the Agent Grid. I'd come talk about it once I learn properly about it. Souren just keeps shipping!

Sir Khaycee

20,465 Aufrufe • vor 6 Monaten

I paid the $500 for Devin, the mega hyped AI coding agent, so you don't have to here's an in depth review of how it compares to Cursor:

I paid the $500 for Devin, the mega hyped AI coding agent, so you don't have to here's an in depth review of how it compares to Cursor:

Steve (Builder.io)

368,205 Aufrufe • vor 1 Jahr

I made the worlds best Clipboard for your AI Agents Its called Bluey and its a dumb pointer which you can use to give 10x better context to your agent And you can point at your screen, talk to it, and it will generate a really good annotated screenshot which you can now give to your AI Agent You can use it while designing your website You can use it while explaining something on your screen. And it understands you and you can be really vague about things like "move this" , modify the color "here" and it will understand what you are pointing at. Im loving using it and I built it for myself as I was tired of clicking screenshots all the time and attaching it to my codex or claude code sessions Now I can just point, speak or type and drag and drop it anywhere I am giving free access to it in the comments and I would love for you to try it out. Join the discord and I am sharing the download link there. By the way everything stays 100 percent local. No screenshots are shared anywhere!

I made the worlds best Clipboard for your AI Agents Its called Bluey and its a dumb pointer which you can use to give 10x better context to your agent And you can point at your screen, talk to it, and it will generate a really good annotated screenshot which you can now give to your AI Agent You can use it while designing your website You can use it while explaining something on your screen. And it understands you and you can be really vague about things like "move this" , modify the color "here" and it will understand what you are pointing at. Im loving using it and I built it for myself as I was tired of clicking screenshots all the time and attaching it to my codex or claude code sessions Now I can just point, speak or type and drag and drop it anywhere I am giving free access to it in the comments and I would love for you to try it out. Join the discord and I am sharing the download link there. By the way everything stays 100 percent local. No screenshots are shared anywhere!

Milind S

12,085 Aufrufe • vor 3 Monaten

GPT Sol is the first model that has been able to work in 3D Unity/Blender basically autonomously. Since Sunday, I have had an agent building out a noir mystery game from a plan.md. The idea is to have the "voice in your head" be an AI agent trained on noir mannerism and each NPC will be a unique fine-tune for open ended voice conversations. Sol has created the pre-art, built the levels and rigged the characters. Still really rough but amazing how far we have come in a couple years as I watch it build while I do my work on another monitor. Praying for more resets so it can keep working through the week.

GPT Sol is the first model that has been able to work in 3D Unity/Blender basically autonomously. Since Sunday, I have had an agent building out a noir mystery game from a plan.md. The idea is to have the "voice in your head" be an AI agent trained on noir mannerism and each NPC will be a unique fine-tune for open ended voice conversations. Sol has created the pre-art, built the levels and rigged the characters. Still really rough but amazing how far we have come in a couple years as I watch it build while I do my work on another monitor. Praying for more resets so it can keep working through the week.

Nomads & Vagabonds

115,273 Aufrufe • vor 2 Monaten

I finally found a way to give my Openclaw the ability to pay for things, without me, and without giving it my credit cards Most people don't wanna give their Openclaws a credit card (rightfully so), so the next best way to give them their own banks is with Stablecoins And if you have a product with a paywall, you need to give other Openclaws the ability to pay to use it, or you're leaving money on the table Beep on SUI is basically Stripe for Agents, with USDC you can have Openclaw pay for things that it needs and never bug you again If you have an Agent-based product: add this line and make more money from other Agents If you want your Openclaw to be more autonomous: give him some USDC and let him pay for things he needs

I finally found a way to give my Openclaw the ability to pay for things, without me, and without giving it my credit cards Most people don't wanna give their Openclaws a credit card (rightfully so), so the next best way to give them their own banks is with Stablecoins And if you have a product with a paywall, you need to give other Openclaws the ability to pay to use it, or you're leaving money on the table Beep on SUI is basically Stripe for Agents, with USDC you can have Openclaw pay for things that it needs and never bug you again If you have an Agent-based product: add this line and make more money from other Agents If you want your Openclaw to be more autonomous: give him some USDC and let him pay for things he needs

ashen

22,512 Aufrufe • vor 7 Monaten

my number 1 agent tip is "make the agent prove it understands things". everything boils down to that. the UVs on this book are the best example I have. if you don't do this and then ask the model to do something like "put some text on the front cover" it's going to go wrong

my number 1 agent tip is "make the agent prove it understands things". everything boils down to that. the UVs on this book are the best example I have. if you don't do this and then ask the model to do something like "put some text on the front cover" it's going to go wrong

Codetaur

30,925 Aufrufe • vor 4 Monaten

"Kneeing somebody on the ground is very foreign to many people and it looks brutal, but... You can't convince me that if I'm on the ground kneeing you in the head, that I can generate more power than I can in an optimal standing position... It's impossible because if I'm kneeing you on the ground, I still have to maintain control and hold you down, so I'm limited with the amount of force that I can use." Rich Franklin make a compelling case for knees to a grounded opponent in MMA.

"Kneeing somebody on the ground is very foreign to many people and it looks brutal, but... You can't convince me that if I'm on the ground kneeing you in the head, that I can generate more power than I can in an optimal standing position... It's impossible because if I'm kneeing you on the ground, I still have to maintain control and hold you down, so I'm limited with the amount of force that I can use." Rich Franklin make a compelling case for knees to a grounded opponent in MMA.

Ariel Helwani

128,988 Aufrufe • vor 1 Jahr

It takes 5 minutes to create a world-class web research agent that runs 24/7 and returns structured search results. 1. You can limit the sources it's allowed to use 2. You can specify the goals it needs to complete 3. You can design the format structure of the results 4. You can configure how much computing power it will use I show you how to set up a Web Search Agent in the video. A few benefits here: 1. This is great for complex research tasks 2. It's really easy to add this like a LEGO piece to a more complex workflow 3. Create an agent once, and reuse it with different inputs 4. The agent adapts to your use case as you work with it By the way, Nimble published a whole library of templates and research agents you can reuse and modify. You can start sending queries to one of these existing agents, and it will begin to adapt to Go here to try it out: Thanks to the Nimble team for partnering with me on this post.

It takes 5 minutes to create a world-class web research agent that runs 24/7 and returns structured search results. 1. You can limit the sources it's allowed to use 2. You can specify the goals it needs to complete 3. You can design the format structure of the results 4. You can configure how much computing power it will use I show you how to set up a Web Search Agent in the video. A few benefits here: 1. This is great for complex research tasks 2. It's really easy to add this like a LEGO piece to a more complex workflow 3. Create an agent once, and reuse it with different inputs 4. The agent adapts to your use case as you work with it By the way, Nimble published a whole library of templates and research agents you can reuse and modify. You can start sending queries to one of these existing agents, and it will begin to adapt to Go here to try it out: Thanks to the Nimble team for partnering with me on this post.

Santiago

21,079 Aufrufe • vor 1 Monat

I realized that I would probably get more interest in my AI music theory tool (mtdt) and corresponding agent skill library if I did impressive things with more mainstream/popular tunes rather than an obscure Irish folk song from the 18th century like in my quoted post. So this time, I took my 3 favorite tunes from Zelda: Ocarina of Time (i.e., Saria's Song, the Song of Storms, and Zelda's Lullaby) and had them reimagined by the AI agent using my system in the style of various famous classical composers: Schubert, Schumann, Rachmaninoff, and Liszt. I had GPT-6 Astra xhigh acting as the "controller" agent create the prompt and launch another instance of Codex (the "worker" agent) in a fresh workspace with all 322 skills loaded, and then monitor the process. I gave the controller agent only very high-level instructions about which songs from the Zelda game I wanted and which composers to use for which songs. I also told it stuff like: "For actually rendering the written music to audio, we should use the nice concert piano instrument with reverb that came from my jazz chords project originally (see /cass) and we should humanize the playing with a skill so it doesn't sound robotic in tempo and dynamics; it should sound like a professional pianist specializing in the music of the particular composer. And try to do a final critical pass over each piece with fresh eyes looking for any deficiencies and blunders... does it REALLY sound like that composer's work? Can you still hear the original song's essence in the new, reimagined version? Is it good? Does it follow the rules and structure of music theory well, through the lens of that particular composer? If not, then FIX or IMPROVE those things (instruct the other agent to do so using its skills and the mtdt tool!)" --- But then the controller agent was in charge and handled managing the worker agent (which did nearly all of the actual labor of making the tracks). It's a bit counterintuitive that this creator-critic split would work better (why not just go directly to the agent doing the work?), but I sort of stumbled on it by accident because I didn't want to mess with my default agent skills and only wanted the 322 music theory skills to be visible to the worker agent. That's why I originally had the controller agent launch the other agent: to specify that. But then I realized that it's very handy to have an independent agent handling the details for me. It's sort of like a rich English aristocrat in the 1700s having an awesome butler to handle the rest of the household staff. Just tell the butler what you want in a kind of abbreviated shorthand and he will turn around and give very detailed instructions, monitor everything, and do quality control for you so you don't have to get into the nitty-gritty details so much. It gives you another set of eyes, even if it's using the exact same underlying LLM, and there's something about the gestalt shift of being a critic versus a creator that leads to better objectivity and honesty and, ultimately, better-quality results. Anyway, the first results made me realize that it had taken my instructions about being able to hear the original song clearly in the reimagined version too literally, so I told the controller agent: "It too directly has the entire original melody within it unaltered, which is jarring and not like . It's also too long; they should be closer to 1.5 to 2 minutes each. We don't need to start from scratch, but make sure you address those issues." That's about the extent of my feedback and iteration here. And to be clear, the original versions were pretty nice, too. I'll have some other fun demos coming out soon as well. Anyway, attached here are results from 4 composers as animated scores. You can also get the PDF of the complete scores here: So do they actually sound like those composers wrote them? It's sort of an impossible task, in that the style of the original melodies is really nothing like the styles of those composers. But within those constraints, I think it did a respectable job. If you're a fan of that Zelda music and like classical music you will probably get a kick out of these. I'm positive that with more focused prompting and iteration I could get much better results from the system, but I sort of just wanted to see what it could do with minimal interventions. Curious to hear what people think.

I realized that I would probably get more interest in my AI music theory tool (mtdt) and corresponding agent skill library if I did impressive things with more mainstream/popular tunes rather than an obscure Irish folk song from the 18th century like in my quoted post. So this time, I took my 3 favorite tunes from Zelda: Ocarina of Time (i.e., Saria's Song, the Song of Storms, and Zelda's Lullaby) and had them reimagined by the AI agent using my system in the style of various famous classical composers: Schubert, Schumann, Rachmaninoff, and Liszt. I had GPT-6 Astra xhigh acting as the "controller" agent create the prompt and launch another instance of Codex (the "worker" agent) in a fresh workspace with all 322 skills loaded, and then monitor the process. I gave the controller agent only very high-level instructions about which songs from the Zelda game I wanted and which composers to use for which songs. I also told it stuff like: "For actually rendering the written music to audio, we should use the nice concert piano instrument with reverb that came from my jazz chords project originally (see /cass) and we should humanize the playing with a skill so it doesn't sound robotic in tempo and dynamics; it should sound like a professional pianist specializing in the music of the particular composer. And try to do a final critical pass over each piece with fresh eyes looking for any deficiencies and blunders... does it REALLY sound like that composer's work? Can you still hear the original song's essence in the new, reimagined version? Is it good? Does it follow the rules and structure of music theory well, through the lens of that particular composer? If not, then FIX or IMPROVE those things (instruct the other agent to do so using its skills and the mtdt tool!)" --- But then the controller agent was in charge and handled managing the worker agent (which did nearly all of the actual labor of making the tracks). It's a bit counterintuitive that this creator-critic split would work better (why not just go directly to the agent doing the work?), but I sort of stumbled on it by accident because I didn't want to mess with my default agent skills and only wanted the 322 music theory skills to be visible to the worker agent. That's why I originally had the controller agent launch the other agent: to specify that. But then I realized that it's very handy to have an independent agent handling the details for me. It's sort of like a rich English aristocrat in the 1700s having an awesome butler to handle the rest of the household staff. Just tell the butler what you want in a kind of abbreviated shorthand and he will turn around and give very detailed instructions, monitor everything, and do quality control for you so you don't have to get into the nitty-gritty details so much. It gives you another set of eyes, even if it's using the exact same underlying LLM, and there's something about the gestalt shift of being a critic versus a creator that leads to better objectivity and honesty and, ultimately, better-quality results. Anyway, the first results made me realize that it had taken my instructions about being able to hear the original song clearly in the reimagined version too literally, so I told the controller agent: "It too directly has the entire original melody within it unaltered, which is jarring and not like . It's also too long; they should be closer to 1.5 to 2 minutes each. We don't need to start from scratch, but make sure you address those issues." That's about the extent of my feedback and iteration here. And to be clear, the original versions were pretty nice, too. I'll have some other fun demos coming out soon as well. Anyway, attached here are results from 4 composers as animated scores. You can also get the PDF of the complete scores here: So do they actually sound like those composers wrote them? It's sort of an impossible task, in that the style of the original melodies is really nothing like the styles of those composers. But within those constraints, I think it did a respectable job. If you're a fan of that Zelda music and like classical music you will probably get a kick out of these. I'm positive that with more focused prompting and iteration I could get much better results from the system, but I sort of just wanted to see what it could do with minimal interventions. Curious to hear what people think.

Jeffrey Emanuel

23,583 Aufrufe • vor 18 Tagen