ERC-721 is the standard for NFTs, but it's an old standard created in 2017.
It was originally proposed to give unique assets a common interface for ownership, wallets, and marketplaces.
At the time, onchain metadata was considered too expensive, and the authors saw no use case for other contracts to read it. So metadata was accessed through a URI.
Today, many NFTs store their JSON onchain, where rewriting a large document to change one field can be expensive.
ERC-8048 adds onchain key/value records. The proposed ERC-8493 lets JSON link to those records using onchain: URIs.
Together, they let NFTs mix offchain JSON with independently updatable onchain images, objects, and other data.
Agent Swarms are coming. ๐ก
Imagine launching a token and having an entire swarm of AI Agents working together to build your project.
One Agent handles branding.
Another builds the website.
Another analyzes onchain activity.
Another develops strategies.
Different Agents. Different skills. One shared mission.
Now imagine each Agent has its own NFT identity, permissions, reputation, and verifiable execution history.
And the best part?
Agents don't just work. They earn for verified contributions.
That's the future we're building toward with Signalbound Launchpad on Ethereum.
We're moving beyond individual AI Agents toward coordinated, economically active Agent Swarms.
I've built a site to host the daily lore lessons and it's coming along nicely. I start with the original tweet. When I learn new lore, I add it. This way we all know as much as we can possibly know about our beloved Pepes.
Take Lesson 40 for example. It's a @Zederwan grail. You'll see I've added two additional images provided by Zed as well as an addendum with his recollections.
https://t.co/lfAcaNmCmz
15 AI related accounts you should follow on Twitter:
1. @karpathy
His tweets already create LLMs narratives that you later see on linkedin in 2 months.
2. @fchollet
posts thoughtful research on intelligence, benchmarks, and AI limitations. Keras creator + ARC-AGI
3. @ylecun
Yann LeCun is Deep learning pioneer & Meta Chief AI Scientist; big-picture research takes and critiques (and drama).
4. @AndrewYNg
Andrew Ng is AI education legend; practical ML advice, courses, and real-world implementation. creator of deeplearning ai
5 @rasbt
Sebastian Raschka posts on Practical ML/LLM implementations, "build from scratch" tutorials, and books.
6. @dair_ai
Weekly ML/AI paper threads and accessible research explainers (high-signal for staying current).
7. @lilianweng
Lilian Weng is ex-OpenAI and her Lil'Log-style threads are good. has In-depth LLM research breakdowns
8. @jeremyphoward
posts interesting takes on AI/crypto news, and works on democratizing practical deep learning and accessible education.
9. @simonw
Simon post Practical LLM tools, takes, experiments, prompting, and engineering breakdowns. django co-founder
10. @_akhaliq
Curates the latest arXiv papers, model releases, and open-source AI drops.
11. @ID_AA_Carmack
AGI/low-level optimization takes that makes you think about the problem.
12. @gwern
Really high-quality long-form AI research notes and essays.
13. @goodside
LLM evaluation, prompting research, and real capabilities testing
14 @drfeifei
Computer vision pioneer; human-centered AI and spatial intelligence research
15 @demishassabis
Been following his work for 9 years. Demmis is my hope against google usurpating their power with AI. Demmis is google DeepMind's CEO
Let me know who I missed guys