Austinn 🍚 ⛓base.eth

X402

[Austinn 🍚 ⛓base.eth @CryptoAustinn]

Built a small side project around @arc Network’s stablecoin settlement narrative.

ARC Pulse tracks:

stablecoin flows
settlement metrics
finality comparisons
network intelligence

Still improving the data layer and live metrics.

https://t.co/VsZzinneUk

[Austinn 🍚 ⛓base.eth @CryptoAustinn]

@baseapp ♥️

[Austinn 🍚 ⛓base.eth @CryptoAustinn]

Believers build on base

[Base @base]

Believers build on base

[Austinn 🍚 ⛓base.eth @CryptoAustinn]

@baseapp Base

[Nous Research @NousResearch]

Hermes Agent is now natively supported on @Windows

[Austinn 🍚 ⛓base.eth @CryptoAustinn]

@base May all your weekends be based

[Minara中文 @MinaraCN]

Lighter @Lighter_xyz 已上线 Minara！

在 Minara 上交易股票/Crypto/黄金等所有优质资产，手续费直降 70%。

开启 AI Copilot/Autopilot 体验🔽
https://t.co/lgPK3pbTJ3

[Nous Research @NousResearch]

Hermes Agent now has Tool Search, so your agent only loads what it needs

[Minara AI @minara]

Minara's official strategy Sharpe Guard V2 returned +335% on Lighter versus +55% on Hyperliquid, in a BTC backtest over Jan–May 2026.

Give it a try, it's more rewarding via Lighter wallet 👀 https://t.co/PFRdXg53ex

[Austinn 🍚 ⛓base.eth @CryptoAustinn]

@minara I'll try to renew my loans right away

[Austinn 🍚 ⛓base.eth @CryptoAustinn]

Minara işi büyütüyor

[Minara AI @minara]

Lighter @Lighter_xyz is now live on Minara! 🥳

Trade all your favorite stocks / cryptos,
with your favorite copilot / autopilot,
better performance and 70% lower fees.

Give it a try 👉 https://t.co/PFRdXg53ex

[Austinn 🍚 ⛓base.eth @CryptoAustinn]

@liquidtrading Yess

[Konnex @konnex_world]

Konnex mainnet will launch with 32 featured subnets.

Konnex Builder Program open.

Up to $250K per team plus an active validator and miner network ready to bootstrap your subnet from day one.

Working prototypes only.

Apply here: https://t.co/9T4jSQUtCG

[Konnex @konnex_world]

Today marks a milestone. Konnex testnet is live.

Details below.

[Nous Research @NousResearch]

Today we release a study on decoupling the benefits of subword tokenization for language model training, by simulating each suspected benefit one at a time inside a 1.7B byte-level pretraining pipeline.

We formulate seven hypotheses for why subword LLMs outperform byte-level LLMs (covering computational efficiency, structural priors over subword boundaries and positions, and the optimization objective) and implement each as a controlled intervention against a byte-level baseline. Three of the seven move the validation loss at this scale; the rest either have negligible effect or hurt.

Validated at 1.7B parameters on fineweb-edu with a LLaMA-3 architecture, with 68M-parameter replications in the appendix.

The work was led by Théo Gigant, Bowen Peng, and Jeffrey Quesnelle.

Paper: https://t.co/Blk7YdVLnc

[Austinn 🍚 ⛓base.eth @CryptoAustinn]

@minara I'll give it a try; it looks great.

[Arc @arc]

Arc Builder Spotlight: Tower Exchange - Native Stablecoin DEX Aggregation on Arc https://t.co/ewxmSFkiLS

[Spark @Spark_coded]

Starting to lock the stuff that needs to be locked today.

🌊Liquidity: locked it all for 30 years.

Done this at UNCX, tho there is a dashboard problem, reported it to them. Will share it once dashboard shows it right.

> Vestings: will lock it as defined in tokenomics tonight and then will share that too.

[Austinn 🍚 ⛓base.eth @CryptoAustinn]

Deposit from more networks!
Startale App (@StartaleApp) now accepts deposits from multiple networks. Not just Optimism.

[NoahAI @TryNoahAI]

@CryptoAustinn Join our TG or discord. Many opportunities to get some more credits

[Austinn 🍚 ⛓base.eth @CryptoAustinn]

I ran out of credit before I could finish the project. But I liked it. 😅 @TryNoahAI