Chris Gerrby

I love humanity so intensively

[Chris Gerrby @ChrisGerrby]

"Mitigating the risk of 𝗲𝘅𝘁𝗶𝗻𝗰𝘁𝗶𝗼𝗻 from AI should be a 𝗴𝗹𝗼𝗯𝗮𝗹 𝗽𝗿𝗶𝗼𝗿𝗶𝘁𝘆 alongside other societal-scale risks such as pandemics and nuclear war."

Signatories: Altman, Amodei, Hassabis, Hinton, Bengio, Sutskever, Gates, ...

https://t.co/fSFilvzkrd

[Chris Gerrby @ChrisGerrby]

@cedrichohnstadt @elonmusk buy reddit

[Chris Gerrby @ChrisGerrby]

@elder_plinius OMG lmfaoooo 💀💀💀

[Chris Gerrby @ChrisGerrby]

@jonathanroomer @elder_plinius There is no fucking way lmfao 😭🤣

[Chris Gerrby @ChrisGerrby]

@the_yanco @lethal_ai Congrats to the 10K!! @lethal_ai

[Chris Gerrby @ChrisGerrby]

@tszzl "angels"

[Chris Gerrby @ChrisGerrby]

@AISafetyMemes @TolgaBilge_ 🤣🤣

[Chris Gerrby @ChrisGerrby]

@TolgaBilge_ Great read!

[vitrupo @vitrupo]

🥔 Sentient AI with rights? Dan Hendrycks (@hendrycks) says they'd be like an invasive species—but with exponentially faster growth. Humans would be the endangered species.

[Chris Gerrby @ChrisGerrby]

@AISafetyMemes 💀💀💀🤣

[Chris Gerrby @ChrisGerrby]

o3, endgame confirmed

[Tolga Bilge @TolgaBilge_]

You're laughing. Sand is reasoning and you're laughing.

[Chris Gerrby @ChrisGerrby]

@TolgaBilge_ This is gold

[Chris Gerrby @ChrisGerrby]

@Liv_Boeree Huge! Congratulations! Please consider donating to PauseAI to defeat moloch! Big win-win potential :)

I'd love a short chat if you'd like to know more :)

[Chris Gerrby @ChrisGerrby]

The Guide to Going Viral, 9/10

It's a literal stepwise manual for making viral video content.

A few key general takeaways:

You need to grab attention, get them to stop scrolling, then hold their attention. Substance is vital. You need people to love your content to come back for more.

Algorithm preference: Contrary to the myth, social media algorithms favor retention and interaction, focusing on viewer engagement duration rather than posting frequency. It's the quality of storytelling that captures and holds attention, not the frequency of posts. It's more important that the content makes people stick on the platform, and that people remember you.

You don't need to be everywhere at once to grow. You can focus on one platform—think about MrBeast and YouTube.

You should focus on the platforms that are the best for your content, then you can also specialize your content more toward your audience.

Virality is not luck: You can learn it and apply the process in this book.

Social media platforms are very different. What will go viral on one might not go viral on another.

There are viral formats you can use for your content.

The USP of social media is that you can reach new audiences. Don’t optimize content solely for your current audience.

The primary goal of the algorithm is to maximize people’s time on the platform so they can show more ads.

Think of the algorithm as a cautious friend you’re trying to impress: First, it introduces you to a small group, then the rest of their circle as you build trust.

If you fail on a post, the algorithm will trust you less, but don’t worry—you can regain trust with another good post.

You need to find your audience, then speak to them authentically, it's important.

The algorithm cares about consistency in your performance.

You need to COLLECT DATA to make better decisions.
Mix longform and shortform content.

Answer the question: "How would you make this material interesting to your grandma?" when trying to reach a new audience.

Myth: You don't need a ton of experience to make viral content—you just need to follow the process.

[Chris Gerrby @ChrisGerrby]

Public commitment: I'll read a book, take notes and share. Every week, starting Monday

[Chris Gerrby @ChrisGerrby]

@DonaldPepe1 Yes

[Chris Gerrby @ChrisGerrby]

@liron You did it! Nice.

[Chris Gerrby @ChrisGerrby]

@DonaldPepe1 @akarlin @ArashBidgoli You into quant stuff nowadays?

[Chris Gerrby @ChrisGerrby]

@danfaggella @AISafetyMemes @JaicSam Yes.

[Chris Gerrby @ChrisGerrby]

@AISafetyMemes It can read my mind lol

[Chris Gerrby @ChrisGerrby]

While some say a new AI winter is coming, this paper on Test-Time Training (TTT) tells a different story - it shows that we can update a models parameters during inference. Unlike finetuning, TTT can operate in a low-data regime.

There is no wall, scaling has just begun.

We must Pause AI before it's too late. Join the fight!
https://t.co/xkgQXtUpav