Wild screenshots from 2021

Estimated read time: 1 minute 15 seconds.

GM everyone !

This week's newsletter is light as I prepare for my biggest NFT drop, ZIMA. I hope you'll love it.

I'll share details on the creation, marketing, and (hopefully) sellout of ZIMA soon.

For now, let's enjoy some nostalgic screenshots from a long time ago, in a galaxy far away...

enjoying my last cocktail before the drop 🌴

2021 was a weird year, do you remember when Elon teased an NFT drop ?

Or when Mc-f***ingDonalds dropped an NFT ? lmao

2021: when twitter was adding NFT features into the app ! (before removing it)

Anyone remember these ?? :o

Ouch... that's a lot of money down the drain

this one is a beautiful closing to our little Nostalgia trip 🤣

Alright, back to our beautiful year 2024.

Looking back at these, I think we're better off now. Less noise, more signal.

This part of the newsletter is exclusively for subscribers, they get to see the tweets I bookmarked this week !

Massimo

@Rainmaker1973

The amazing robot makeup of the girls at World Robotics Congress in Beijing, seen up close.

[

mychinatrip]

Matt Shumer

@mattshumer_

I'm excited to announce Reflection 70B, the world’s top open-source model.

Trained using Reflection-Tuning, a technique developed to enable LLMs to fix their own mistakes.

405B coming next week - we expect it to be the best model in the world.

Built w/ @GlaiveAI.

Read on

caio temer

@canalCCore2

If we built a neural network where the weights were lenses instead of vectors, for instance, and the input was light-shaped, the inference cost would be zero.

Summer Wagner

@summergwagner

Deeply moved to announce the acquisition of two physical 1/1 pieces by @AustinGrier1

“Full Moon in Scorpio” and “44 Shades of Green” from my Midamerican Fever Dream collection.

I couldn’t have asked for a more kind and thoughtful collector to steward these pieces.

0xDesigner

@0xDesigner

the role of ai in art marketplaces isn't just to give context on the art, the artist, or the collection.

it's to interpret the taste profile of the collection in the wallet i've connected and give tailored context to how a piece fits in with what i've already collected.

Thanks so much for reading, I hope you enjoyed today's issue (which I had to speedrun AGAIN 🤣)

See you next week ✌

Nahiko

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