I’m T❏M

People are now using deepfakes to get into remote jobs?!

Needless to say, the image above was created with Dalle 2 Get the full piece here: https://futurism.com/the-byte/fbi-people-using-deepfakes-to-apply-jobs

Artist uses AI to perfectly fake 70s science fiction pulp covers – artwork and titles

Check this out: https://cdm.link/2022/02/artist-uses-ai-to-perfectly-fake-70s-science-fiction-pulp-covers-artwork-and-titles/

Instagram Subscription?

If Instagram took your attention so far and made it into a profit, they are now rolling out a subscription program that will take your money and turn it into profit. https://twitter.com/mosseri/status/1516811952235769860

Holy ****, Linus

If you’re into computers but sometimes don’t understand them - Linus will explain. Read the title of his video and be blown away. Watch this: https://www.youtube.com/watch?v=R7CO9v9rpOk

Camera Science for Geeks

### Boosting Monocular Depth Estimation Models to High-Resolution via Content-Adaptive Multi-Resolution Merging [S. Mahdi H. Miangoleh*](http://yaksoy.github.io/group/), [Sebastian Dille*](http://yaksoy.github.io/group/), [Long Mai](https://mai-t-long.com/), [Sylvain Paris](http://people.csail.mit.edu/sparis/), and [Yağız Aksoy](http://yaksoy.github.io/) Proc. CVPR, 2021 Watch this: https://www.youtube.com/watch?v=lDeI17pHlqo

A Close-up Video of the Sun

Watch this: https://www.youtube.com/watch?v=6tmbeLTHC_0

Glass Photo Community App

**I'll start by saying that** ### As a photographer I appreciate what [Tom](https://twitter.com/twatson) & [Stefan](https://twitter.com/sborsje) are going for. **"No ads, no algorithms"** is boldly stated everywhere, but I wonder if it's enough to bring people in. This here is not a review on Glass Photo Community app, I've just started using the app and still investigating it, its potential, and its community member's works. ### I just want to talk about the motive for this and compare this to Instagram because Glass is the Anti-Instagram as the Product Hunt newsletter says out loud. Glass is the product, not you. Private and subscription-based, meaning no ads, data tracking, public counts, or engagement algorithms. I'm just quoting what's been said about it elsewhere. ### If there aren't any algorithms, how would I be able to discover new things? is the first thing that came to my mind when I first saw Glass. The first answer was you just scroll. But I DON'T WANT TO. I'm used to everything coming my way, and actively browsing and looking in a big, not to say a huge, collection of photos is practically devastating. Not something I want to do and I'd rather go to the museum and get books of my favorite photographers between two world wars, or something like that. ### Glass is still very early and looking for its unique approach Asking for feedback is crucial, especially if your product is in a niche market, like photography. I've allowed myself to dig through the Feedback Request from Glass users and found something interesting. You get the point, people are social. There are some professional requests there like wanting an iPad and desktop apps and EXIF information support but really just a few of them were upvoted or even suggested. Glass is a community, so social features are definitely more important than professional ones. However, being social means being engaged, staying intrigued, and keeping members highly interested and that is a very tough task. What about Instagram? Photo sharing apps are hard, and Instagram reached a hell lot of people because it offered more than just photos, it offered an emotional experience that drove people to create for it, and companies to build around it. We can talk about Instagram's motives and responsibilities at another time, although this does not contradict the fact that This Is the Competition to beat. This competition was created using highly efficient algorithms, data scientists, and a LOT of money. Not wanting algorithms just because they Can be dangerous is like not wanting to cross the street just because it can be dangerous. Algorithms aren't the problem, People Are. Avoiding algorithms is like walking backward with your hands tied behind your back, your eyes closed, and having headphones in full volume screaming white noise into your brain. Build better algorithms, build them with pure intentions without alien interests. someone once said that algorithms are mostly a reflection of the people who built them, and I agree. When we built the PostPro algorithm family we had our ethics surrounding them at all times; During ideation, planning, designing, executing, testing, iterating, and launching. The AI at PostPro is fair because we are fair. I truly believe that if Tom and Stefan will build any kind of algorithm, it will be a reflection of them. Honest, ethical, and not discriminating. There's nothing to fear but the hard hard work behind creating a better and more meaningful experience for their community. Om Malik talked with the founders, check it out: https://om.co/2021/08/10/glass/ How hard (and strange) photo-sharing applications are? below are a few examples of apps that photographers (and amateurs) already use and enjoy, apps that didn't work, meme apps, and apps you've never heard of ⬇️ 500px - Discover and share the worlds best photos https://500px.com/ Photo Circle - Privately Shared Photo Album https://www.photocircleapp.com/ Rich Kids - Photo sharing app where users pay $1000/m to share https://richkids.life/ Flashgap - Time-delayed photo-sharing app https://www.producthunt.com/posts/flashgap-2-0 Winnie - used to be photo sharing for parents https://apps.apple.com/app/apple-store/id1066620030?pt=118060166&ref=producthunt

Apple Knows, and they say how they know

Recognizing People in Photos Through Private On-Device Machine Learning. https://machinelearning.apple.com/research/recognizing-people-photos A very brief research summary and a little bit of opinion. 1. Apple will group together important people in Photos to create a better, personalized experience, out of your kept photos and videos. 2. Automatic Person Recognition is the new "Face Detection" - Crossing data to recognize people even when they don't face the camera - Face, location, context, and now the upper body is being taken into account 3. Process all that information on your iPhone, overnight. You shouldn't notice it. - It heavily relies on the Photos app structure, and pixel similarity in time & proximity contexts. (that means similar clothing for a period of time) - *(question) Will everything break down if I change all the metadata, edit every single image differently (like really differently; isolating Reds and desaturating all the rest for example)?* 4. Photos is filtering unclear faces to decrease the error rate. Some are blurred, and some are not faces, being detected as such by the face detection algorithm. That's a well-known problem but I wonder what's the indicator for validating the face is a face, or - what's the indicator's indicator? - There [it is](https://arxiv.org/abs/1804.07573) 5. Gender and race bias is key for real-life success and Apple is working towards it. Important work IMO, I love that their work around it is spoken of in a techy article and not a prime time tech crunch piece. Good people do and don't tell. 6. Visualizing the results looks like Apple's, smooth and clean and contains only what matters. 2 cents is all I have I chose not to dive deep into the How and focus more on the What reacting to this very good and important research by Apple. The challenges in defining "accuracy", not to say reaching it, in a chaotic environment like a Photos Gallery of A person are only getting worse the more you look at it. Working at PostPro we reached a similar conclusion as Apple did in this research; It's that sacrifices should be made all across the board in order to reach just a fraction of your end goal and reach user satisfaction. Calculating what one might (or should) feel like when externally using their own memories is indeed a dare, but I think Apple is taking the right direction here in the What, as well as in the How. The context of 'relatives' or a human-centric approach is key at this point when trying to define what matters most. *What about John's cat? will she be recognized by her upper body?* There's still more to be written, I will get back to this in the near future when I can find some context that may bring new insight to the table.

Bathed in Ultraviolet Light, Single Flowers Glow with Radiant, Saturated Color

Take a look: https://www.thisiscolossal.com/2022/04/debora-lombardi-uv-flower-photos/