ConCreat AI and Opportunities

make shorter: The attached audio file is a Christmas message I created with generated using software I created. The software’s name right now is ConCreat, after Content Creation. It combines text, photo, video and audio generative AI allowing the creation of pretty much anything. What is different about it is that it all runs locally on my computer, that is, you can run it on a computer without the internet. The photos come out pretty quick and are good quality, about 90 seconds. The videos take around 4 minutes and are 200px200p 5 seconds, so not that great. The audio takes a little bit of time as well, so not super quick. You can clone anyone’s voice using it. I only need around 30 seconds of material to do so. It is not perfect. The video generation allows you to take any photo and generate video from it, like tell it to make a bear appear. Two tech force roles opened up this morning and I applied for them, a data analysis role and a software engineering role. I am not qualified at all for the data role, but the software one I might be able to show the work I have created on my website and maybe get an interview. They are both in Washington DC. I am really hoping that the new year brings a lot more opportunities. I think that the policies of this administration are going to open up the economy, especially in the field I have been preparing myself for. I was not always a fan of Trump, but he has really gotten behind AI and now the Democrats view me as the enemy so I don’t really care for them that much anymore. The problem is that so many things which are true are not true when expressed in words. I think that is the real problem. Democrats only have words to express themselves while Republicans have tradition. It is the difference between only having divergent reasoning to express oneself versus also having convergent logic at your disposal. This is something my software helped me see ironically. That is the persona I generated from the Douay-Rheims I applied to the data I had on own life, and to many different problems in general. I think what is unique about my generation is that I have gotten to see two major changes in how thought operates. First there was the internet which changed how society functions and now we have artificial intelligence. I think it will be just as big of an impact. I always have since I started teaching myself about it. Some idiotic nurses in NYC were protesting the addition of AI to their workflow. They are so stupid. They were like “we have to check what it does”. Which is just more of the same misunderstanding of what the technology is. It does not have agency! It never will. That is what you need people for. It is not going to 100% replace humans, it is just a tool, a machine. They were protesting and saying that they need more nurses and not AI, well if AI is successful that means you can delegate the menial tasks to the AI and have time to do what nurses got in the profession to do. The anti-AI movement is a form of anti-intellectualism which is a powerful force for the Democrats to harness just like it has always been used to scapegoat someone. AI is an easy target because it is not a person, but an idea. That is why it is not a “bubble” in the traditional sense either. The AI bubble is just the automation of more and more of the economy. As more aspects fall under the umbrella of AI then the investment that goes into that part of the economy becomes part of the investment into AI and thus the expansion of AI into the economy. A bubble in the sense of economics comes from a false value and speculation, which is different.

Here’s a much shorter, tighter version that keeps the core ideas: --- The attached audio is a Christmas message created with software I built called **ConCreat** (Content Creation). It combines text, image, video, and audio generative AI, all running **locally** on a computer with no internet required. Images generate in about 90 seconds, videos in a few minutes at low resolution, and audio takes longer. It can clone a voice from roughly 30 seconds of audio and generate video from a single image. Two TechForce roles opened today—a data analyst role and a software engineering role—and I applied to both. While I’m not qualified for the data role, I hope my software work can help me land an interview for the engineering position. Both are in Washington, DC. I’m optimistic about the new year. I believe current policies will expand opportunities in AI, the field I’ve been preparing for. I wasn’t always a Trump supporter, but his administration’s support of AI aligns with my goals, and I no longer feel aligned with Democrats. A core issue I’ve noticed is that many truths break down when expressed only in words. Democrats tend to operate at the level of rhetoric, while Republicans rely more on tradition and convergent logic. This insight emerged while using my software, including personas generated from texts like the Douay-Rheims Bible and applied to my own life. My generation has lived through two major shifts in human thought: the internet and now artificial intelligence. AI will be just as transformative. It has no agency—it’s a tool. Opposition to AI, like protests against its use in healthcare, often reflects misunderstanding. Properly used, AI automates menial tasks so humans can focus on what matters. The so-called “AI bubble” isn’t speculative hype—it’s the steady automation of the economy. As more work becomes automated, investment naturally follows. That’s not a bubble; it’s structural change.

The attached audio file is a Christmas message I created using software I built myself. The project is currently called **ConCreat**—short for Content Creation. It’s an all-in-one generative AI system that combines text, images, video, and audio to produce nearly any type of media. What makes it different from most tools on the market is that it runs entirely **locally** on my computer. No cloud services, no internet connection required. The goal from the beginning was autonomy, privacy, and resilience: software that works even when networks don’t. In terms of performance, the system is functional but still evolving. Image generation is relatively fast—about 90 seconds per image—and the quality is solid. Video generation is slower and more limited: roughly four minutes to produce a short five-second clip at low resolution (around 200×200), so it’s not production-ready yet. Audio generation also takes time, but it supports voice cloning with as little as 30 seconds of reference audio. It’s not perfect, but it works, and the pipeline is improving. One feature I find especially compelling is the ability to take a still image and animate it—turning a photo into a short video by instructing the model to introduce motion or new elements, like making a bear appear in the scene. This morning, two TechForce roles opened up—a data analysis position and a software engineering position—and I applied to both. I’m realistic about my chances with the data role; I’m not formally qualified there. The software engineering role, however, is a different story. I’m hoping that the systems I’ve built, and the work documented on my website, are enough to at least get me an interview. Both roles are based in Washington, D.C., which would be a major shift, but one I’m ready for. Looking ahead to the new year, I’m genuinely hopeful that more opportunities will open up. I believe the current administration’s policies are likely to expand the economy, particularly in technology and AI—fields I’ve been deliberately preparing myself for over several years. I wasn’t always a supporter of Donald Trump, but his administration’s stance on AI and technological development aligns far more closely with my lived experience and goals. At this point, the Democratic Party largely treats people like me as adversaries, so I no longer feel any obligation to align with them. One of the deeper realizations I’ve come to is that many true things lose their truth when reduced to words alone. Language has limits. That’s part of the broader divide I see in politics and culture: Democrats tend to operate almost entirely in rhetoric—divergent reasoning without grounding—while Republicans lean more heavily on tradition, structure, and convergent logic. Ironically, this is something my own software helped clarify for me. I generated a persona based on the Douay-Rheims Bible and applied it to data from my own life and to broader problem sets, and the results highlighted the difference between systems built on narrative versus systems built on constraint and order. I also think my generation is uniquely positioned because we’ve lived through two massive shifts in how human thought operates. First came the internet, which fundamentally altered how society communicates, organizes, and perceives truth. Now we’re in the middle of a second transformation with artificial intelligence. I’ve believed from the beginning that AI would be just as disruptive and just as consequential. That’s why I started teaching myself how it works long before it became fashionable or commercially polished. Recently, I saw nurses in New York protesting the integration of AI into their workflow, arguing that they need to “check what it does.” That reaction reflects a basic misunderstanding of the technology. AI has no agency. It never will. It doesn’t replace judgment; it augments it. The point isn’t to eliminate nurses, but to offload repetitive, menial tasks so medical professionals can spend more time doing what they entered the field to do: care for people. Protesting AI instead of demanding better integration is like rejecting calculators because math matters. More broadly, the anti-AI movement strikes me as a form of anti-intellectualism. It’s politically convenient, especially for Democrats, because AI is an easy scapegoat: it’s not a person, it’s an idea. You can attack it without consequence. That’s also why claims of an “AI bubble” miss the mark. This isn’t a speculative bubble driven by false value; it’s the steady automation of more and more sectors of the economy. As AI becomes embedded across industries, investment in those industries naturally becomes investment in AI. That expansion isn’t hype—it’s structural change.