Member Info for LovableLumax

Hilarious, you didn't even work those figures out yourself. You shouldn't be investing.

Having been on a board (not as a FD/CFO!) at each board meeting the FD will run through management accounts that will have a where we are against budget and projected. The auditors will also see these and they will have worked out how long the cash would last which was not beyond August. They will take into account any monies due in so R&D credits and campaigns booked. Funny how you're now using the terms I put to you on me, disingenuous and trying to belittle more. Are you related to Trump??! He's also been bankrupt many times and a clown x

£6.1m cash Dec 31 and won't survive beyond August.

You have 7m shares and you don't even look at their cash burn which is in recent RNSs? All you do is post immaterial news from LinkedIn and other sources rather than material info in regulated RNSs. You are a lifestyle CEO's dream.

Their cash burn is anywhere between £762,500 a month if they had cash to the last day in August or nearer £870,000 a month if first day in August. Likely somewhere in the middle.

I said nearly £800k a month. It’s easy it’s within their recent regulated RNSs. Cash at year end and they said they would run out of money before end of August if raise wasn’t agreed.

Mirriad could have 100% access and they still would do feck all, the consistent increase in supply and demand side has not resulted in higher revenues. Competition a higher according to their annual report and I suspect we will see more platforms launched soon. Sure some have had a good look at mrriads

This it the best. Implying the giant that is Amazon can’t do this -

After reading the published report it can only be done on a flat surface and it can't be put on a moving taxi

Entitled to be optimistic? One only has to look at last 4 years of RNSs as well as LinkedIn posts to mean all the partners mean fexk all revenue wise. Still burning nearly £800k a month FFS. Always good to be an optimist as long as it isn’t expensive.

For the final time the paper was written by students and they critiqued a platform they developed. It if of course rudimentary. If you believe that Amazon, Disney or whoever can’t put images onto moving images or those that aren’t flat you really are lost. The early days of CGI could do this!!!!

After reading the published report it can only be done on a flat surface and it can't be put on a moving taxi

There are clear differences between us. You over hype, in a realist. I understand AIM, accounts so cash burn, going concern etc which you clearly don’t. More importantly when you were encouraging newbies to buy at 2p+ I was saying to wait as a raise before June 30 likely. I underhand you’re understand and need to hype but you look desperate as I would be with 7m shares. I have 500k and know a raise will come within 12 months given cash burn and awful pipeline.

2phevs you cannot even admit when you’re wrong, How insecure must you be. I suspect you didn’t understand the context of the paper so did think it was a critique of Amazon’s VPP rather than the students novel version. You just can’t say ah I got that wrong.

Also I worked in IR and on many pitches and the rule of thumb in most industries to expect a 1 in 3 conversion. That’s for pitches not unweighted. Where on earth have you read 1 in 3 for unweighted or is this more BS?

MPD that tells me it's still under development so 2phevs could be right in that they have had trouble getting to where they want it so might work with MIRI. If so it's odd Amazon don't just buy us as peanuts to them. Right am off to the gym.

2phevs I don't belittle you I merely point out some of the nonsense you post. You belittled me when warned of a raise a few weeks ago. You either didn't know what an unweighted pipe was or you were again lying. Same re this paper. FYI Amazon employs over 10,0000 interns.

2phevs I don't belittle you I merely point out some of the nonsense you post. You belittled me when

Maybe that's right but sort your dodgy posts out. Remember you and others hyping BS likely has put a fair few in the red. Ether you didn't understand the paper you posted earlier so thought it was a critique of Amazon's VPP or you knew it wasn't but lied regardless. Either way your posts always need to be taken with a large pinch of salt.

If mirriad has a moat due to IP it will surely succeed but given the space will be massive I'm sure larger players will navigate a way around it. We'll see.

So now you're admitting your thread disingenuous, shock! I'll leave you to continue pumping but please try and cut out the lies. Yes you're massively underwater but stick to LinkedIn nonsense and ignore my warnings on raises, cash burn, pipeline putting break even out to like;ly end of next year.

again 2phevs you are disingenuous just look at the title of this thread. you have stated it's a critique of amazon's version which is a lie. it's some students own version. very different indeed.

if amazon was having issues due to our ip i am sure amazon would buy us. we'll see but you need to stop your bull****.

2PHEVS you are sly. You implied the paper was a critique on amazon's VPP but it is a novel version developed by students. Much like you trying to suggest an unweighted pipeline was booked revenue

In this paper, we present a novel, fully automated, end to-end pipeline for Virtual Product Placement. The proposed method automatically determines a suitable location

for product placement into a background image, performs

product inpainting, and finally evaluates image quality to

ensure only high-quality images are presented for the downstream task

2

It was only published a few days ago you clown. Where does it say it's critiquing Amazon's version? It doesn't as it isn't it's there own basic version.

n this paper, a method of automated virtual product placement and assessment in images using diffusion models is

designed. Our broad contributions are as follows:

1. We introduce a novel fully automated VPP system that

carries out automatic semantic inpainting of the product

in the optimal location using language-guided segmentation and fine-tuned stable diffusion models.

2. We proposed a cascaded three-stage assessment module

named ‘Alignment Module’ designed to sieve out lowquality images that ensure the presence of the intended

product in every generated output image.

3. Morphological transformations are employed such as dilation and erosion to adjust the size of the mask, therefore, to increase or decrease the size of the inpainted

product allowing generating a product of appropriate

size.

4. Experiments are performed to validate the results by

blind evaluation of the generated images with and without the Alignment module resulting in 35% improvement in average quality.

5. The inpainted product generated by the proposed system

is not only qualitatively more realistic compared to the

previous inpainting approach [23]

You think because the student was interned at AWS the paper is based on its VPP. Blimey you really are something

That isn't a critique of Amazon's version FFS - This paper introduces a novel three-stage fully automated

VPP system. In the first stage, a language-guided image

segmentation model identifies optimal regions within images for product inpainting. In the second stage, Stable Diffusion (SD), fine-tuned with a few example product images,

is used to inpaint the product into the previously identified

candidate regions. The final stage introduces an ‘Alignment

Module’, which is designed to effectively sieve out lowquality images. Comprehensive experiments demonstrate

that the Alignment Module ensures the presence of the intended product in every generated image and enhances the

average quality of images by 35%. The results presented

in this paper demonstrate the effectiveness of the proposed

VPP system, which holds significant potential for transforming the landscape of virtual advertising and marketing

strategies.