$250k for your AI-first product startup
aigrant.org
aigrant.org
AI Grant is investing $250k on an uncapped, no-discount, MFN SAFE, as well as providing more than $300k in cloud credits.
AI Grant used to do small grants in lots of AI research projects. Now, we think there's plenty of research, and what's needed is products: so we're doing bigger investments in founders building products. Name's the same, but now we can deploy larger checks, and focus on what we think will help the most in 2022. Frankly we used the name "AI Grant" because we already had it!
If you're working on something cool, please apply! And if you have a special situation, or need help, reach out to support@aigrant.org
I'm self-funding fakeyou.com from a previous exit. My AI/ML startup is called "Storyteller" and my team is about to launch real time voice conversion (you -> Trump, Adele, etc.), music generation (instruments + vocals), and real time motion capture (for film and animation, essentially super high quality VTubers) in a matter of weeks, plus a bunch of other stuff by EOQ3. From there it's AI musicians, story generation, etc. A takeover and democratization of Hollywood and Nashville.
I have no idea what I'm doing in terms of fundraising. We have 5M+ MAUs and I don't even have a deck. I'm in Atlanta grinding out product and I'm not plugged into this VC/fundraising world, but I know I need to grow this.
The $300k cloud credits sounds right-sized. I also started buying a metric ton of 3090s and running k8s both in the cloud and on-prem. :)
To address your question, an "uncapped, no-discount, MFN SAFE" roughly amounts to getting the same terms that will be given to your next investors: https://www.dentonsventurebeyond.com/resource-center/safes/
More details here https://capbase.com/how-do-safes-work/.
How would it be different if it was capped? I went to your link but there are no mentioned of "capped" or "uncapped"
Uncapped is better for the founder, but the difference only will ever really matter if it takes off so fast that the next round is at a much higher valuation than expected.
That contract seems like a really bad deal unless you’re certain to be raising a lot of money & need capital to cross some barrier to get there.
https://www.amazon.com/Venture-Deals-Smarter-Lawyer-Capitali...
Hmm… their weights vary a bit more than I would have expected; in a little searching, I’m finding figures ranging from 1372g for a Gigabyte (which would be ~729 to the ton) to 2157g for the Founders Edition (which would be ~464 to the ton).
(Aside: this is the first time I’ve reached for Google in well over a year, because DuckDuckGo categorically failed to find anything even vaguely useful or relevant for my queries, whereas Google found plenty of meaningful results.)
I'd guess most people wouldn't know the meaning, so here it goes:
MFN Clause: In a most favored nation (MFN) clause, if subsequent convertible securities are issued to future investors at better terms (e.g., a lower valuation cap), the better terms will automatically apply to the investor's SAFE.
“We have money to invest come and apply to us and we will determine if you are good enough.”
Bro please.
If we are building game changing AI before we take your money we want to know what you stand for. What are you made of. How do you want to shape the world. What’s your track record of dealing with small companies. What’s your philosophy around investor relations. Prove to me you’re not a complete dick to work for or to have on the board.
And someone writing small checks like this is almost certainly not going to be on the board unless the founder is clueless.
People who run their own thing are looking for partners not a boss or anything that resembles one. This “fill up this form job/university application format so some alleged superior being judges you” is exactly what they ran away from. Speaking from experience.
It's actually similar to the job market. There is government, where only the most desperate, process oriented folks bother to go through the silly bureaucratic process, there's "traditional" application-interview-offer where the employer has the power, and there's a pull model for top people where they get hunted for jobs.
The more power and brand you actually have, the more you can skew traditional / bureaucratic. If you're an unknown startup, you can't just post a job as and expect to get good candidates (I've tried that) - but you get a lot of mediocre ones. And if you're an unknown investor, I'd expect the same.
These investors either have done similar enough things before that they have a sense of the candidates / companies they'll get and are cool with that level, or will learn this time about the volume and quality this kind of solicitation generates.
(
Products, not papers. Tinkering, not training. Apps, not Arxiv
Personly I think we're still at a stage where real research is important if you want ML to be an actual differentiator, and just e.g. cramming GPT into something is going to give you something very shallow, but let's see. I've been thinking about AI products a lot recently because I have an AI startup, and what I've concluded is that for AI to actually be a core differentiator and not a peripheral feature requires fundamental ML work specific to the product. But as I say, let's see what people can do)See their HN announcement 5 years ago: https://news.ycombinator.com/item?id=14851806
The consumer applications will incidentially provide more of an incentive into investing into AI research since there's a good chance of ROI, which will trickle down into better open source AI like Stable Diffusion.
And with large language models, generative models, diffusion models, etc becoming more and more common its becoming less novel, but certainly not less popular.
As someone who has a lot of tinkering and research underway on a big idea, this motivates me to scrap and scrounge to get the demo party together.
Spending 8k-ish to build a product demo for my friends rich uncle is too uphill for me to risk. But for this, I mean fuck yeah.
The fundamental product is large and physically involved, with the 'AI' under the hood to sort of Pixar the whole experience and make the 'game' more satisfying, connected, and fulfilling. Sort of a means to progress, in a general sense.
That’s something I could potentially fund. No equity, just pro-bono / repay if it works out. Feel free to reach out and chat if it’s a dream you believe in.
But $250k from this might go a lot further.
And it would free up my time to focus on scaling and experimenting instead of assembling.
I'm genuinely taken back by that offer, and I'll be reaching out to your email with an introduction. Thank you for reaching out.
>> Wait, is this a grant or an investment?
> It is an investment.
Easy to misunderstand. The word "investment" does not show up until way down the page.
They're not saying that they give grants now.
An example is the recent text-inversion paper where they found a way to extract the embedding of a visual concept from several images. Or how Midjourney is able to somehow integrate their model with StableDiffusion to get the realism and control of SD but the aesthetics of Midjourney.
Basically, it seems like deep learning networks are a lot more composable and controllable than I would have expected, while still demonstrating really interesting features. There could be entirely novel neural net architectures with no analogue in the human brain that still do really interesting and useful things. It’s exciting to see what people are coming up with!
i was not expecting github to start charging for such a mediocre product. obviously i decided we don’t need it.
but i expect we’ll get something open source and better relatively soon considering the pace of innovation in this field.
As someone who has strong programming intention, but is not always able to easily remember syntax, or visualize a solution, it's been a force multiplier.
It's been pretty invaluable for vector math and reasoning in Unity.
It often helps with either typing something out or having to search for something online. As an example, it really helps with switching in between languages where I sometimes forget the exact method name or syntax. Co-pilot helps generate code that I can easily verify but would be annoying to write.
I much prefer predictable tools like code templates where I know exactly what I will get when I trigger it.
Unpredictability is the fundamental problem with these tools.
How hard is it to set this up? The process to start a nonprofit doesn’t seem inviting.
are you going to be the sole donor and board member, or are you going to be actually raising donations because thats a full time job
giving grants for coding is hard, it has to match your mission statement that got you the non-profit status to begin with, and the IRS is not enlightened on the concept of coding as a charitable class, but you can have other things like educational purposes, or "sustainability" and give grants to organizations that are ultimately doing coding.
grants and scholarships to individuals are much more complicated, but they can incorporate and nobody cares that the new company is just wrapped around an individual
also, all of this can be circumvented due to the fact that non-profits can invest. growing the endowment is simply asset management and there is no difference in investing in shares on the stock market and investing in shares of a private C-corp that was just formed that just your non-profit filled the seed and series a round for. non-profits can make wild profits, no different than Harvard's endowment growing indefinitely. there are also some cases where investments can count as the grant requirement (if your type of non-profit is one that has an annual grant requirement, via regulation)
yeah the regulations actually make the individual charity part of non-profits really hard and you can do lots of profit making activities! but you can try your goal
I have something that might be the type of startup (integrating AI into algonfts.art) except it's not a very popular niche and probably wouldn't make back the $250K. Although that reality doesn't seem to stop most people.
Edit: already explained in several posts above
(from "open" in the article)
1. Design an app that takes in series of text prompt and generates images for corresponding prompt that is coherent across all images. These images will be keyframes.
2. Design an app that acts like database of videos, so that you can query any kind of clip.
3. Try to use view- consistent generated images to get 3D models.
4. Define agents that can play for a given rule and gradually adjust the rule or even form new rules!
I want to be that post in hn which inspires multi million dollar company!!
Good luck.
Appears super similar to Lexica.art, but less data; for example, appears you’re missing even the limited about of parameters listed by Lexica, which still are incomplete.
$250k for how much equity?
[who?] [citation needed]
Wondering now how much hours of compute this would buy.
Well, I think the point is that you would be the one doing the work at first and you wouldn't have to pay yourself market rates because you also get to own the vast majority of the company.
> Wondering now how much hours of compute this would buy.
It also comes with $250k in Azure compute credits, which would buy ~70,000 hours on a machine with an A100 GPU, for instance.