"Originalidade técnica de uma imagem gerada por IA não é
opinião — é consequência matemática direta."
É o argumento da Tese da Originalidade Matemática v1.4, que
publiquei hoje na newsletter. PDF público, hash, catálogo
on-chain.
🔗 https://t.co/Y7HkdYU8Hg
A "originalidade" de uma imagem gerada por IA não é opinião —
é consequência matemática direta de como esses modelos funcionam.
Mas originalidade técnica não é autoria.
Cinco anos defendendo isso em obra. Agora em texto.
🔗 https://t.co/uYt49BsZ51
@majidmanzarpour@threejs@AnthropicAI wow. this is insane. how to use claude to make the animations?
gonna try it. im making my mmorpg for a while, this could be a great add
We gave the artwork battle 💪 a shot today at @GFXvs_ and we have to say, it's incredible. 💥
Why ?
Because it lets you Upvote your favorite artworks to have a say in what will be up for battle next.
Isn't that fantastic!
https://t.co/SUM8erfbeV
Today we announced that we will focus on making NEAR the home for User-Owned AI. We need AI that optimizes for the privacy and sovereignty of users.
NEAR Foundation commits to incubate and invest in NEAR-based AI infrastructure projects including compute and inference, data curation and rewarding creators, crowdsourcing and synthetic data marketplaces, agentic infrastructure, and more. Any AI application and novel consumer use case can leverage NEAR for the best User-Owned AI infrastructure and access everyone in Web3 via Chain Abstraction.
We have established the @near_ai AI R&D lab led by @AlexSkidanov and me, focusing on building an AI Developer to allow anyone to build end-to-end Web3 applications without code.
NEAR is the best place to build and incubate the next generation of AI projects. NEAR Foundation, as a well-resourced not-for-profit with strong expertise in both AI and Web3, is positioned to drive a User-Owned AI movement that offers alternatives to closed, centralized players and succeeds at a global scale.
Projects building in the Web3 x AI space should apply at: https://t.co/LhWxgJGsvS
Is there any research on having too much data for recommendation algorithms?
For example, the Genius recommendations from iTunes during the iPod days and early Spotify weekly playlists feel superior to the repetitiveness of current recommendations.
Thoughts?
💥I'm really excited to announce💥
I joined the @NEARFoundation as Head of Content!
NEAR has been my web3 home base for years.
I've been deep in the ecosystem and I understand what NEAR is and what it will be👀
Most importantly... I'm a HUGE FAN!
I respect and admire the devs, dapps, defi, builders, founders, leaders, teams, NFTs, community, and even the memecoins!
I've done content for years at fortune 100 and tech companies.
And now I'm working in web3, a space I've believed in for years!🤯
NEAR is Chain Abstraction and AI on top of the leading Sharding L1.
That's the future!
I'm so stoked to be part of this team of legends!
Time to Focus the F*cking Firehose! LFG🚀
🎉 Space Announcement 🎉
💰 $10 NEAR Giveaway 💰
🚀 Join us as we discuss the future of DAO Ashe, and our efforts to foster ecosystem growth.
📍 https://t.co/QOcL11Vbh9
📅 Thu, 04/11
⏰ 5pm UTC
RT & follow @ssplashh to participate!♻️
🥁🥁🥁 Here are the winners of the #NEAR bounties at #ETHSeoul 2024!👏🚀🇰🇷
🧵
🥇For the Chain Signatures track, the 1st prize of 5K goes to DeFiBrain, the ultimate DeFi investment AI assistant, harnessing the power of AI, and NEAR to discover DeFi products. Congrstullations!🎉🫰
🎉Celebrating top supporters this week! Huge shoutout to @Lonkonnear, @decentricity and @bennybrown_nft🏆👏for their impact on PotLock's mission. Your commitment to funding public goods on NEAR Protocol is inspiring.
Learn more at https://t.co/FL0yorbxyO
#BOS#TopDonors#impact