AI Hustle: News on Open AI, ChatGPT, Midjourney, NVIDIA, Anthropic, Open Source LLMs: Revolutionary AI Tool by Patronus: Game-Changer for Regulated Industries!

Welcome to the OpenAI podcast, the podcast that opens up the world of AI in a quick and

concise manner.

Tune in daily to hear the latest news and breakthroughs in the rapidly evolving world

of artificial intelligence.

If you've been following the podcast for a while, you'll know that over the last six

months I've been working on a stealth AI startup.

Of the hundreds of projects I've covered, this is the one that I believe has the greatest

potential.

So today I'm excited to announce AIBOX.

AIBOX is a no-code AI app building platform paired with the App Store for AI that lets

you monetize your AI tools.

The platform lets you build apps by linking together AI models like chatGPT, mid-journey

and 11Labs, eventually will integrate with software like Gmail, Trello and Salesforce

so you can use AI to automate every function in your organization.

To get notified when we launch and be one of the first to build on the platform, you

can join the wait list at AIBOX.AI, the link is in the show notes.

We are currently raising a seed round of funding.

If you're an investor that is focused on disruptive tech, I'd love to tell you more

about the platform.

You can reach out to me at jaden at AIBOX.AI, I'll leave that email in the show notes.

In a significant move for the AI sector, Patronus AI has emerged from stealth mode today, so

they've announced a $3 million seed funding round and unveiling its products designed

to essentially evaluate and test large language models.

So the startup is the brainchild of two seasoned AI experts, which are Rebecca Quain and Arnon

Knappen, both of whom previously kind of honed their skills at Meta there working over there.

Quayan focused on responsible language processing, NLP, researcher at Meta AI while Knappen contributed

to the development of explainable machine learning frameworks at Meta Reality Lab.

So Patronus AI's timing seems almost serendipitous.

The startup aims to provide a security and analysis framework as a managed service.

And really they're kind of catering to specifically to kind of regulated industries where errors

can result in considerable repercussions, right?

So one of the key areas that Patronus AI addresses is the likelihood of hallucinations in large

language models.

And that whole scenario, you know, where a model is going to just make something random

up is what they're trying to solve for.

So this is what they said.

They said, quote, in our product, we really seek to automate and scale the full process

and model evaluations to alert users when we identify issues.

That was Rebecca Quain.

And she also kind of elaborated the company's approach is three pronged.

So the initial step is scoring.

So that is then followed by the generation of case text and finally benchmarking.

So scoring assists users in assessing models based on criteria like hallucinations, especially

in high stakes fields like finance or healthcare or the military, other areas like that, right?

And subsequently, the system auto generates adversarial test suites and performs stress

tests on the model.

So benchmarking the final step uses various metrics to determine the most suitable model

for a specific task.

So the startup is not just addressing the functional aspects of large language models,

but they're also kind of looking at the ethical dimensions.

They said, quote, we help companies make sure the large language models are using are safe.

We detect instances where their models produce business sensitive information and inappropriate

outputs.

So can happen also noted, really, really could just kind of stress the importance of Patronus

AI as an impartial third party stating, quote, it's easy for someone to say their language,

large language model is the best, but there needs to be an unbiased independent perspective.

That's where we come in.

Patronus is the credible check mark.

This is something really interesting, because in the past, there is a lot of like, obviously

there's every AI model, like you said, is going to say, like, no, we're fine, we're good.

We have like, we have bent, we have safeguards in place, yada, yada, even open AI is like,

you know, trying to put stuff in there where they're like, no, we got like a middle layer.

We got a trust and safety layer, yada, yada, but it's like, at the end of the day, you

can't really trust just a company's word for it when they say that they do everything

perfect. So I think having these third parties come in really is a good play.

And I think that's why a company like this is going to be valuable.

You know, a lot of people are like, whoa, don't you think you're going to be like completely

obsolete once open AI like just builds their own version of this?

It's like, not really, because how much do you trust every AI company?

And maybe right, maybe you are a good hearted person that believes open AI is 100% perfect

at everything. Fantastic. But there's no way you can believe every AI company is good at

everything. So this company, I think really is going to be valuable in the future.

It's going to exist for evaluating a lot of different large language models.

So Patronus AI may not, or I think it actually does have six full-time employees at the moment.

So not a ton, but it has plans for expansion on the horizon.

When asked about the company's future hiring plans, the founders remained open-ended, but

emphasized the importance of, you know, having a really solid, diverse organization.

And I think, you know, the $3 million seed funding is spearheaded by Lightspeed Venture

Partners with contributions from factorial capital and other industry angels.

With these resources, I think they're really kind of poised to navigate the intricate

labyrinth. Like, let's be honest, this is an absolute labyrinth of challenges and

opportunities that are ahead of this specific AI landscape, especially when

they're addressing, you know, all of these fields that are typically a little bit more

challenging. These are, like, really regulated industries and areas that would be hard.

So it'd be interesting to see how they grow and adapt to those challenges.

If you are looking for an innovative and creative community of people using chat

GPT, you need to join our chat GPT creators community.

I'll drop a link in the description to this podcast.

We'd love to see you there where we share tips and tricks of what is working in chat GPT.

It's a lot easier than a podcast as you can see screenshots, you can share and comment

on things that are currently working.

So if this sounds interesting to you, check out the link in the comment.

We'd love to have you in the community.

Thanks for joining me on the Open AI podcast.

It would mean the world to me if you would rate this podcast wherever you listen to your

podcasts, and I'll see you tomorrow.

Machine-generated transcript that may contain inaccuracies.