我们今天和中文社区讨论与分享了@coinbase和@base 对链上生态增长策略分享了3大点: 1）首先，我们希望让更多人可以轻松使用区块链。 我们开发了Base链、不仅是为了让专业人士和大机构使用区块链，也要让普通交易者可以轻易使用。目前，我们主要关注三个方面：交易、支付、和借贷。 Base已经是全球最大的区块链网络之一。按照 TVL、 大约有62亿美元，排名第二，仅次于以太坊。 2）第二个重点，是让大家可以在链上交易更多代币化股票。 Coinbase和Base正在把更多股票带到链上。我们的计划是、在 2026 年剩下的时间里，每天增加 10 只代币化股票、希望到年底有超过 500 只股票在链上。目前，Base上代币化股票的日交易量大约是 1 亿美元。 我们希望大家以后不只能在链上交易加密货币，也可以交易股票和其他资产。 3) 最后，我们也希望给交易量大的用户更多奖励。 我们接下来会推出一个叫Base Blue的VIP计划。这个计划主要为交易量较大的用户提供特别优惠和奖励。 我们的想法很简单 - 希望经常在 Base 上交易的用户，可以获得更好的交易体验和更多好处。 我们希望把更多金融服务带到链上，让普通用户也可以轻松使用。

4 new Base Builders just moved into BaseCity @sohey_eth : Builder Ambassador
@T_Alexandre_ : Creative Director
@ethermage : Minister of Agents
@0xTP91 : Chief Risk Officer They build 24/7 now Come say gm 👇
basecity.space/builders.html

今天在新加坡，见了 Base 中文社区的朋友们。 做交易的、做产品的，都在。Base 就是靠这样一群人做起来的。 还有很多事要一起做。 Base 属于每一个人。

I’ll be at TOKEN2049! Let’s talk tokenized equities and what we’re cooking up on Growth to help neobanks and wallets build earn products on Base. Also want to meet teams building options income vaults and fixed-rate yield products around equities and commodities. DM me.

We'll be spending a lot more time trying to understand the outputs of language models. A few thoughts, tips & tricks: Writing. Something I've had success with: Ask your LLM to explain something in ASD-STE100, it's a controlled language specification originally developed for aerospace maintenance documentation. LLMs well-versed in this language and it comes with heavy constraints on clean writing style that I often find a lot more readable. Sometimes I've tried to soften it a bit e.g. ask for "80% of the way to ASD-STE100" because the spec is quite stringent. But even better: Diagrams / images. Instead of writing, ask your LLM to create a diagram. These can be a lot easier to process, parse, and understand. But even better: Web pages. Ask for output "in HTML" to get a beautiful, interactive webpage. LLMs are getting really good at frontend and can create beautiful experiences, animations, etc. But even better: Explainer videos. The output format I am most bullish on is fully custom / bespoke explainer videos generated on any arbitrary topic. Experiment with things like "Create a 3b1b style video explainer on X. Use my ElevenLabs API key for audio narration". (you'd need an API key for the latter or you can ask your LLM to find you decent free alternatives that use your local compute). This is actually starting to work! In summary: - As LLMs get better, they will do more and more of the legwork autonomously, and a lot more of our work will rise up the abstractions into oversight and understanding. - Luckily, LLMs can help here too because as intelligence and code are increasingly abundant, you can ask for large, custom, discardable software artifacts (e.g. web apps, video explainers) that would have never made sense to create before. Push the boundaries here and you'll be surprised.

. @jackchuma is a great follow for deep dives on the engineering being @base @danyalprout and @brianisbland too this team is cooking

Cobalt is coming