AI versus Marshy #43: first-look at Instagram AI, simulated photon chips, and boosting old clients
Greetings and welcome to the next edition of AI versus Marshy.
The newsletter that demystifies AI and helps you learn a thing or two.
A warm welcome to the new faces weβve got this week - thanks for jumping on board π΄ββ οΈ
This week looks at:
- A first-look Meta releasing AI into Instagram
- What cutting edge looks like - designing new data chips with Google X
- How to use AI to be useful to old clients
A meaty edition today, so letβs make like a butcher and chop on with it πͺ
-Marshy
What AI inside Instagram looks like
Via my Instagram account and news.
I never quite got into Instagram.
I was a heavy Facebook user. Writing posts and getting engagement was something I enjoyed and having an instantaneous response platform was good while it lasted.
FB newsfeed isnβt what it used to be and we use ours mainly for FB spam.
My Instagram used to be foodie snaps, snippets of drawings and handwriting, and is currently swamped with my slow-motion basketball 3-pointers.
Not even joking
So imagine my surprise when this appeared on my Insta.
anything?
I vaguely remembered reading something about an AI test in Instagram but didnβt really pay attention to it.
I even ignored it for a day or so because how does this help me drain more slow-motion 3-pointers? ππ¨
Playing with it, it talks a bit of a game - claiming to be able to integrate with other platforms with its API key.
(Pro-tip: This is usually the first thing a no-coder looks for when they see a new tool).
So what will I do with you?And then?
I havenβt been able to do much with it yet, but shared it with the Benβs Bites community.
One nugget I learned is someone has been able to bypass WiFi in planes (where Whatsapp is free in some countries?) to get free news!
Nice! βοΈ
Iβm enjoying the early vibes of Benβs Bites 2.0 and if youβd like to get involved and join the community you can get some early bird pricing via this special link (heads-up I get a finderβs fee).
Itβs a good investment in my opinion.
The trend is only going to keep growing and getting in early will give you access to a lot of sweet exclusives as well as only paying once for something that will go up in value.
Using AI to create computer parts that will power even better AI
Via X company.
Brace yourself - Iβm going to try and translate some really complicated concepts for you.
Data travels faster down one pipe.
But at a certain point (say closer to being used) the data needs to be separated into different information components.
This is done with a demux and is housed in a data centre (think where the cloud is).
Google X (aka the moonshot factory) has built a new kind of demux with AI.
The way they built it is with a different technology than usual called integrated silicon photonics.
Hereβs a picture - see how itβs much smaller than a standard design?
Image credit: X company
Β΅m = micrometres.
A length of bacterium is 1-10Β΅m
A fog droplet is ~10Β΅m
Super chip - 14x16Β΅m
So how is this possible - simulation.
Iβve talked about digital twinning before - where you can copy data from the real world onto your computer, and predict whatβs going to happen in the simulation with terrifying levels of accuracy.
Well Google built an AI design simulator, then:
- created an array of chips with the simulator
- Put the chips through simulation and testing
- identified a design that passed the simulation
- was able to then use that design to create a real-world chip at a semi-conductor foundry
Pretty charts I canβt read from the discussion paper
Put another way:
They created something with a computer thatβs impossible to design as a human, and then printed it out to be used by humans in the real world.
I was going to include this news in last weekβs newsletter but was glad I didnβt.
Because I got a WhatsApp from my old colleague Patricia!
She ran point on this project and it doesnβt surprise me in the slightest.
Well done!
A prism creating rainbows π
Like with all deep tech it will be a while before this is realised by use mere mortals - but donβt try and tell me AI isnβt doing groundbreaking things.
Using AI for old client relationships.
As part of my mission to identify more ways to help my dear readers, I put a shoutout in a local FB group basically seeking to share ways you can use AI for yourself - today.
I didnβt get a huge response, but one question was about learning strategies to communicate to clients about AI.
So I reworked the ask to:
How can I be of more service to my clients with AI?
Hereβs a way to get started:
- Get a list of your current clients (from invoices or your CRM)
- Use an automation tool like Pipedream or Buildship to gather generally client company information - website, industry, who their customers are, PR and news appearances, etc.
- Connect this to a database or Google Sheet, and use it to prompt some ways you can service your clients better
- For example, βIβm an accounting business that works with all of these customers, using this spreadsheet - can create 5 repeatable ways I can service these clients betterβ or βAs a content marketing agency - are there any obvious things I should be talking to my clients about in 2024?β
- You can ask follow-up questions and grade the answers you get with a some specific feedback. e.g. 42, make it less about accounting and more about them etc.
The end result will be some actionable strategies you can adapt and run with.
Let me know what you think by replying to this email (or if youβve got some further challenges!)
Iβll try testing this with some of my previous clients, and also have an older client Iβm trying to help more specifically soon.
β
Thatβs it for this week - thanks for reading if you made it all of the way.
Iβve read that 300-400 word emails are best for email newsletters but honestly I want to give you more thought-out writing and this works for me.
Remember - learning how to work with this stuff is always going to better than relying on machines alone.
Weβve got this πͺ
-Marshy
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