Alex Valaitis Profile picture
Jul 9 15 tweets 5 min read Twitter logo Read on Twitter
🔮Prediction: Zuck's new app will be shut down in 12 months or less.

Everyone seems to think it will be the Twitter killer, but that couldn't be further from the truth.

Here's how I think it plays out... https://t.co/B9raBIXSpgtwitter.com/i/web/status/1…
Let's first begin by understanding WHY Zuck decided to strike at Twitter right now

He senses weakness because:

-Many brands/journalists/media outlets do not like Elon's politics

-There's been some recent stumbles at Twitter (rate limiting)

-Twitter's debt limits its options
He believes that if he can win, he will receive the following:

-More lock-in from brands (who will become dependent on the Meta app ecosystem)

-New revenue channel (brands can advertise on Threads)

-More text-based data to train Meta's AI models on
However, what most people don't understand is that 🧵's is a NEGATIVELY asymmetric bet for Meta.

Here's what I mean...
To the upside:

If 🧵's were to 100% takeover Twitter's market share, it would only mean an incremental $4-6 billion in revenue.

Meanwhile, Meta did nearly $120 billion in revenue in 2022.

Which means this would only increase revenue 4% in the perfect case!
To the downside:

Since Meta is seeding Threads with its Instagram users, there's a risk that it could HURT Instagram engagement.

Instagram is Meta's golden goose, with some people expecting it to generate upwards of $50 billion by the end of 2023.
This means that an even modest amount of sessions drop-off from Instagram, could wipe out the entire upside of 🧵's revenue (in the best case).

That is why I think concentrating on 🧵's users is the wrong #

I GUARANTEE the execs are more focused on the Instagram sessions #
This brings us to the key flaw in the 🧵's plan:

It cannot rely on just its existing Instagram social graph for engagement.

It NEEDS to bring over users from Twitter.

But this will not work. Let's put together the final pieces...
The entire reason that Twitter has thrived over all of these years, is that they serve segments & enable conversations other platforms won't touch:

-Intellectual content/Industry leaders
-Anonymous accounts
-Nudity/Adult creators
-Politics/News

In order to take Twitter users, 🧵's would have to cater to these creators and use cases.

But the head of Instagram/🧵's is already stating that they WON'T support this type of content.

In fact, they are actively working AGAINST it.
So to summarize:

-🧵's will be seeded with Instagram users (who will quickly get bored)

-🧵's will try to attract Twitter users but fail

-🧵's will be shut down less than 12 months from now to protect Instagram's core business
To get even more specific, I believe that 🧵's will be integrated back into the Instagram product as a feature.

Similar to how Stories and Reels exist on Instagram.

Some PM will be stuck with the job of sunsetting 🧵's and learn a lot

(I was this guy at LinkedIn 😂)
There's one final 4D chess move here to consider...

Which is that even if 🧵's shuts down, Zuck will still consider it a win.

That is because, the REAL reason he launched 🧵's, was to have more text-based content to train Meta's AI models on:

What do you think of my prediction? Let me know in the comments.

Also, please consider:

1) Following me @alex_valaitis
2) RT/Like/Comment the first tweet for visibility

Also worth noting, I've seen similar situations play out in big tech 2 times in my career:

1) Intuit tried to launch a Credit Karma killer called 'Turbo'.

It drove 10s of millions of downloads during tax season, then was shut down less than two years later.

2) LinkedIn… twitter.com/i/web/status/1…

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More from @alex_valaitis

Jun 15
The EU just passed the first draft of major AI laws known as the "AI Act"

Non-compliance could cost companies $43 million in fines!

Let's dive into more details 🧵 twitter.com/i/web/status/1… Image
The EU has always been a leader when it comes to internet regulations.

The GDPR laws passed in 2016 remains some of the most comprehensive around data protection.

So it's no surprise to see them already on top of AI.

But what is their approach? Image
For starters, they want to put restrictions on the "riskiest" use cases.

These include:

-AI used to power critical infrastructure
-AI used in the legal system
-AI used to determine access to govt. benefits
Read 8 tweets
Jun 13
🚨A looming problem in AI: Model collapse

As most of you know, large language models (LLMs) rely on data to train on.

Usually this is supplied by human sources, but this is quickly changing... twitter.com/i/web/status/1… Image
As generative AI has taken off, the internet has been flooded with AI-generated content.

This content is then being fed back into the LLMs to train on.

Why is this problematic?
According to a recent paper by researchers in the UK:

"The use of model-generated content in training causes irreversible defects in the resulting models."

What are these irreversible defects?
Read 7 tweets
Jun 5
I think @Apple's #WWDC23 event is going to be a game-changer.

I'm expecting major AI announcements + an iPhone-like moment with the VR headset.

I'll be live tweeting the event as it goes down. Follow along here 🧵
@Apple Maybe I'm overthinking it, but the energy already feels different for this event.

Upbeat music + this cool shape-shifting Apple logo.

Now transitioning to an opening ad at 12:00 pm on the dot. Image
@tim_cook coming in live from Apple's campus.

Tim is already putting a strong emphasis on developers. Mentions that it is "15 year anniversary" of the app store.

Says some of the "biggest announcements ever" are coming today 👀 Image
Read 34 tweets
May 30
Legacy media is dying.

But, nobody has been able to put together all of the pieces.

Why is this happening? And who will take their place?

Here is the ultimate breakdown of the changing media landscape 🧵 Image
In order to understand the downfall, we must define what legacy media encompasses.

There are 5 main categories of legacy media: Print media, Film, Music, Radio, Television.

While there are nuances to each, they share a few things in common... Image
-Not founder led: All of these companies are 100+ years old. (More risk averse)

-Mass market reach: They aim for broad audiences (vs niche audiences)

-Ad-based businesses: Make most $ from advertisers

-Professional production value: Need to hire expensive professionals
Read 22 tweets
May 30
Starting my build in public journey by launching a new AI project with @itsasharashar:

'InterviewMe AI'

It's currently just a Beta, but here's why we think it could become a game-changer 🧵 Image
Anyone who's ever completed a technical interview knows how daunting the experience can be.

One wrong answer can be the difference between landing a $200K+ job offer or getting rejected.

The best way to increase your odds is through practice...
Unfortunately, most software interview prep sites come up short:

❌ Generic interview questions
❌ No real-time feedback
❌ No variety (only technical questions)
Read 7 tweets
Mar 29
AI and Crypto.

Do they work together? Or are they at odds?

Here's my take after 6 years in crypto 🧵
Let's start with some basic definitions 👇

Blockchain: A decentralized and open database/network

Cryptocurrency: A digital currency that lives on a blockchain

AI: A computer system meant to simulate human intelligence
What is the purpose of each of these fields?

Crypto: Blockchains remove central intermediaries (banks, social media platforms). They do this by moving data from private to open databases

AI: Uses data to create systems that enable problem-solving, learning & adaption at scale
Read 19 tweets

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