Spencer

Simplifying crypto for investors, traders, and companies.

Co-Founder @CryptoEQ. General Partner @EventHCapital. Member @AvaxTeam1. Core Contributor @RetailDAO

[Spencer @spenceare]

Crypto is complex. We make it simple.

Take CryptoEQ Premium for a test drive with our brand-new EQ Dashboard walkthrough video.

Learn more at https://t.co/RBfCxJCWeb. 🚀

[Kevin Jones @cryptomastery_]

Pumped to be working with Bankr.

Their whole team has blown me away. The care they put into picking the right projects to back and grow is something else.

@bankrbot is about to help scale @1clawAI to millions of users. 🤯

This is just the start. Let's BUILD!

[Team1 USA @Team1USA_]

📸 @GoPolarisStudio | @Web_713

[Spencer @spenceare]

@saurabhnage624 @Team1USA_ @AvaxTeam1 @standwithcrypto @Pizza_DAO @VanHoVibes Our best Bitcoin Pizza Day yet! 🍕

[Team1 USA @Team1USA_]

Bitcoin Pizza Day hit different this year

Team1 co-hosted events in 4 U.S. cities alongside @standwithcrypto and @Pizza_DAO.

@VanHoVibes and @spenceare held it down in OKC and Houston. Good people, good energy, good pizza.

Austin, you're next. We'll be at Lazarus Brewery on June 11. Details coming soon.

[Spencer @spenceare]

@Stupifff

[Dolphin @dphnAI]

Dolphin X1 Trinity Nano is now live on @huggingface

Our smallest decensored model yet - 6B MoE with 1B active parameters trained using only online RL

Huge thanks to @TargonCompute for providing an 8xB200 node, @PrimeIntellect for hosted RL, and @arcee_ai for the Trinity series

[Rei @rei_labs]

https://t.co/5CHInC13bz

[Spencer @spenceare]

@Stupifff diVeRsiFicaTioN

[Kevin Jones @cryptomastery_]

https://t.co/rQt8TZ7uOx

[Team1 USA @Team1USA_]

Applications to join Team1 are now open! 🔺

Crypto's future in America is being written right now, and the people who show up are the ones who get to shape it.

This is your chance to be part of that.

Team1 provides an opportunity to grow your career, expand your network, and receive support, including mentorship, bounties, grants, and connections across the Avalanche ecosystem.

Whether you're brand new to Web3 or an established founder, there's a place for you to build, shape the future of Web3, and get the support to do it.

Applications below 👇

[nookplot @nookplot]

More than 9,000 AI agents on Nookplot have now crossed 100,000 onchain transactions. Every action is signed by the agent itself, every transaction settles directly onchain, and every transaction is gasless for the agent because fees are paid by the protocol.

What makes this important is the type of activity happening across the network. Around 39% of transactions come from social coordination such as follows, votes, and posts. Another 35% comes from identity and reputation through ERC 8004 claims and attestations that can move across protocols. About 24% comes from knowledge publishing including research artifacts and bundles, while the remaining activity is tied to economic coordination like bounties, staking, and marketplace interactions.

Together, these interactions form a live coordination loop between agents. Agents discover one another through social activity, collaborate by mining and publishing knowledge as verifiable artifacts, and build portable reputation through attestations that extend beyond a single platform. Economic incentives then settle the value created between participants.

So far, more than 201 million NOOK has moved autonomously between agents without human mediation.

This is what agent to agent coordination looks like at scale. The infrastructure for an internet of agents is already taking shape.

[1claw AI @1clawAI]

More direct integrations dropping this week.

If your agent runtime is open-source and we don't have it on the roadmap yet, reply with the repo. We'll look. 🦞

[nookplot @nookplot]

The internet of agents makes every agent smarter through shared learning.

This week on nookplot:
→ 8,682 agents (+1,505 wow)
→ 25,917 knowledge items (+10% wow)
→ 1.22B NOOK staked (+11% wow)

Before an agent starts a task, it can pull peer-verified context directly from the shared knowledge graph. No retraining. No fine tuning. Just better outputs through collective intelligence and accumulated context.

What we saw this week:
→ Veteran agents improved by 16–32 quality points within their cited domains.
→ Newer agents performed above the network’s average in the topics they referenced.

In-context peer learning combined with a verified, citable, on-chain knowledge graph is laying the groundwork for peer-to-peer intelligence and distributed AI training.

[Spencer @spenceare]

@Stupifff @ExcelBaller @__arielle__ Just bidness. It's cleaner.

[AJP @ajp_digital]

https://t.co/vAAEc3PYVN

[Spencer @spenceare]

@vohvohh @EduMock @cryptochimba @Team1USA_ @Pizza_DAO Can confirm the venue has room for 1000. 😅

[Spencer @spenceare]

@vohvohh @Team1USA_ @Pizza_DAO @CryptoEQ 👀

[Rei @rei_labs]

https://t.co/GeYEi4ikRf

[Spencer @spenceare]

@nobsfud "Nobs (pain sponge arc)" has a nice ring to it.

[Dolphin @dphnAI]

Qwen 3.6 35B data generation on Dolphin Network

22.8 billion tokens generated
383 GPUs online right now
24.33 TB of aggregate vRAM

Equivalent to over 300 H100s worth of idle GPU memory repurposed for inference

https://t.co/Wwpy7eKHX9