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AI Agents are unlikely to appear at scale in Web2 games but are poised to thrive in fully onchain games for two key reasons:
1. AI Agents struggle with understanding game graphical interfaces. For them to engage effectively, games need to open-source all APIs related to user operations. Fully onchain games, being inherently open-source, meet this requirement. In such games, every player action is recorded as an onchain transaction, providing a perfect environment for AI Agents to learn and grow. @lordOfAFew , through Daydreams and @ai16zdao , is pioneering this concept within the @LootRealms ecosystem, the ticker is $LORDS.
2. Most Web2 games capture value through player payments, but AI Agents in Web2 lack access to money and thus cannot participate economically. On the other hand, AI Agents can seamlessly transact using cryptocurrencies, enabling them to engage in economic activities within fully onchain games.
#FOCG #ai16z #AIAgent
I wanted to break down Daydreams further into clear, visually appealing graphs so it’s easy for everyone to understand, and to show how it integrates into @ai16zdao.
My goal is to accelerate generative agents—ones that can think, plan, and execute dynamic actions purely based on their given context. If we can solve this, these agents will be able to act and complete complex tasks over long time horizons.
What does Eliza do? @0xCygaar provided a great breakdown of it. I was one of the core designers of the plugin system because I knew how powerful it would become. Now, we have plugins ranging from buttplugs to every chain and everything in between.
nitter.gq/0xCygaar/status/187457…
You can think of Daydreams as a "plugin" to Eliza that will give any agent true agency to accomplish incredible things, from complex DeFi strategies to onchain gaming.
太夸张了!一个人指挥 50 多个 AI Agent,干了 20 个工程师的活!😱
一位曾在 Cursor 工作的 SpaceXAI 高级工程师,分享了她的 AI 自动化工作流:
每天早上喝杯咖啡,就能管理整个 AI 团队。
她的配置是:
1 个 AI 总管:统筹所有工作
3 个 AI 项目经理:分配任务、协调进度
40 多个 AI 员工:通宵自动执行任务
她还声称,97% 的 SpaceXAI 工程师已经在使用类似的工作方式。
她用一场 60 分钟的教程,从零教你搭建整套系统。
以前有人收费 5000 美元教的东西,现在直接公开了。
以后一个人就是一家软件公司,真不是开玩笑!🤣
建议收藏!
纯 Vibe Coding 做的首个商业化产品,「破雾」CS2 AI 教练,公测版正式上线,如果你玩 CS2,欢迎来体验: powucs2.com
上传比赛 Demo,直接和 AI 对话复盘,找到本场比赛的错误,职业选手同场景下的做法,下一场比赛应该怎么做。
从最初的一个想法,到现在真正可以让用户使用的产品,AI 带来的生产力提升确实令人震撼。当然,上线只是第一步,距离真正的成功还有很长的路。
接下来会持续 Build in Public,想看看在 AI 时代,一个没有研发背景的人,究竟能把创造力转化成多大的商业价值。
0XC retweeted
We are hiring 💁♀️💁♀️💁♀️
JOIN US,我们在等你加入👀
🙋币安380+多国家岗位正在招聘;
VIP Sales,PMM ,BD,PR ...评论区查看热招岗位详情⬇️
点击这里即可申请投递✉️binance.com/zh-CN/careers/jo…
0XC retweeted
卧槽这个项目牛逼啊!
有个老哥把你电脑里的ChatGPT,变成了一个会陪你聊天、工作,甚至会跳舞的AI女友🤯!!
这个开源项目叫Persona
装上之后,ChatGPT不再只是聊天框里的一段文字或一个声音,而是会以3D角色的形式常驻在你的桌面上。
你和她说话时,她会跟着声音实时动嘴、做动作。
你让她打招呼、开心一点、摆个姿势或者跳支舞,她也会直接在屏幕上执行。
原理是Persona在本地运行了一个MCP服务,向ChatGPT和Codex开放了几种能力:播放指定动画、控制角色窗口显示或隐藏、读取角色当前状态。
模型不只是负责生成回复,也可以根据对话内容,主动决定该做什么动作。
比如你告诉她一个好消息,她可以播放开心动画;
你准备开始工作,她可以安静地待在桌面一角;
你让她跳舞,她就真的开始跳。
目前项目内置了待机、说话、打招呼、开心、手枪动作和跳舞等动画,后续也可以更换成其他VRM角色和动作包。
它的嘴型和身体反应也不完全是预设好的程序。
Persona会监听ChatGPT或Codex这个应用自身的音频输出,根据实时音量计算角色动作,让人物看起来像是真的在说话。
整个过程只在本地处理音量数据,不录制麦克风、不保存音频、不转写聊天内容,也不会把音频发送到网络。
当模型能够控制自己的声音、表情、动作和形象后,AI就不再只是一个被打开和关闭的软件。
它会越来越像一个持续存在于你生活里的数字角色。
AI女友可能不会先出现在某类机器人里。
她大概率会先住进你的电脑桌面😳
这个项目真的牛大了
We quietly released the open-source Codex Security CLI, but Hacker News found it before we had a chance to share it here...
You can now use it to scan repositories, track findings across runs, verify fixes, and add security checks to CI/CD.
This is an early release, and we're listening to your feedback as we continue improving it.
0XC retweeted
We’re hiring at @BNBCHAIN: jobs.bnbchain.org/companies/…
One of the greatest pleasures in life is working with people who genuinely care about doing their best work. That’s the culture we’ve built, and we’re looking for people who feel the same. DMs open if you want to chat.
Applications for @EASYResidency Season 4 are now open.
🇧🇹 The first global incubator to bring a founder cohort inside @gmcbhutan, Bhutan's new sovereign tech city.
→ 5 weeks online · 5 weeks in person
→ Up to $500K funding + housing, meals, and workspace covered
→ For builders in Web3 (with a focus on global payments), AI, Biotech
Apply by June 21: wkf.ms/3IA5iBk
I have to say this interview changed my life. Hearing how Boris thinks about software spurred me to work much harder on releasing my own way of doing things and on iterating fast on how I build. Hard to believe it has only been a month since this one.
A very special guest on this episode of the Lightcone! @bcherny, the creator of Claude Code, sits down to share the incredible journey of developing one of the most transformative coding tools of the AI era.
00:00 Intro
01:45 The most surprising moment in the rise of Claude Code
02:38 How Boris came up with the idea for Claude Code
05:38 The elegant simplicity of terminals
07:09 The first use cases
09:00 What’s in Boris’ CLAUDE.md?
11:29 How do you decide the terminal’s verbosity?
15:44 Beginner’s mindset is key as the models improve
18:56 Hyper specialists vs hyper generalists
21:51 The vision for Claude teams
23:48 Subagents
25:12 A world without plan mode?
28:38 Tips for founders to build for the future
30:07 How much life does the terminal still have?
30:57 Advice for dev tool founders
32:11 Claude Code and TypeScript parallels
35:34 Designing for the terminal was hard
37:36 Other advice for builders
40:31 Productivity per engineer
41:36 Why Boris chose to join Anthropic
44:46 How coding will change
46:22 Outro
0XC retweeted
CLIs are super exciting precisely because they are a "legacy" technology, which means AI agents can natively and easily use them, combine them, interact with them via the entire terminal toolkit.
E.g ask your Claude/Codex agent to install this new Polymarket CLI and ask for any arbitrary dashboards or interfaces or logic. The agents will build it for you. Install the Github CLI too and you can ask them to navigate the repo, see issues, PRs, discussions, even the code itself.
Example: Claude built this terminal dashboard in ~3 minutes, of the highest volume polymarkets and the 24hr change. Or you can make it a web app or whatever you want. Even more powerful when you use it as a module of bigger pipelines.
If you have any kind of product or service think: can agents access and use them?
- are your legacy docs (for humans) at least exportable in markdown?
- have you written Skills for your product?
- can your product/service be usable via CLI? Or MCP?
- ...
It's 2026. Build. For. Agents.
0XC retweeted
Two years ago, I wrote this post on the possible areas that I see for ethereum + AI intersections: vitalik.eth.limo/general/202…
This is a topic that many people are excited about, but where I always worry that we think about the two from completely separate philosophical perspectives.
I am reminded of Toly's recent tweet that I should "work on AGI". I appreciate the compliment, for him to think that I am capable of contributing to such a lofty thing. However, I get this feeling that the frame of "work on AGI" itself contains an error: it is fundamentally undifferentiated, and has the connotation of "do the thing that, if you don't do it, someone else will do anyway two months later; the main difference is that you get to be the one at the top" (though this may not have been Toly's intention). It would be like describing Ethereum as "working in finance" or "working on computing".
To me, Ethereum, and my own view of how our civilization should do AGI, are precisely about choosing a positive direction rather than embracing undifferentiated acceleration of the arrow, and also I think it's actually important to integrate the crypto and AI perspectives.
I want an AI future where:
* We foster human freedom and empowerment (ie. we avoid both humans being relegated to retirement by AIs, and permanently stripped of power by human power structures that become impossible to surpass or escape)
* The world does not blow up (both "classic" superintelligent AI doom, and more chaotic scenarios from various forms of offense outpacing defense, cf. the four defense quadrants from the d/acc posts)
In the long term, this may involve crazy things like humans uploading or merging with AI, for those who want to be able to keep up with highly intelligent entities that can think a million times faster on silicon substrate. In the shorter term, it involves much more "ordinary" ideas, but still ideas that require deep rethinking compared to previous computing paradigms.
So now, my updated view, which definitely focuses on that shorter term, and where Ethereum plays an important role but is only one piece of a bigger puzzle:
# Building tooling to make more trustless and/or private interaction with AIs possible.
This includes:
* Local LLM tooling
* ZK-payment for API calls (so you can call remote models without linking your identity from call to call)
* Ongoing work into cryptographic ways to improve AI privacy
* Client-side verification of cryptographic proofs, TEE attestations, and any other forms of server-side assurance
Basically, the kinds of things we might also build for non-LLM compute (see eg. my ethereum privacy roadmap from a year ago ethereum-magicians.org/t/a-m… ), but for LLM calls as the compute we are protecting.
# Ethereum as an economic layer for AI-related interactions
This includes:
* API calls
* Bots hiring bots
* Security deposits, potentially eventually more complicated contraptions like onchain dispute resolution
* ERC-8004, AI reputation ideas
The goal here is to enable AIs to interact economically, which makes viable more decentralized AI architectures (as opposed to non-economic coordination between AIs that are all designed and run by one organization "in-house"). Economies not for the sake of economies, but to enable more decentralized authority.
# Make the cypherpunk "mountain man" vision a reality
Basically, take the vision that cypherpunk radicals have always dreamed of (don't trust; verify everything), that has been nonviable in reality because humans are never actually going to verify all the code ourselves. Now, we can finally make that vision happen, with LLMs doing the hard parts.
This includes:
* Interacting with ethereum apps without needing third party UIs
* Having a local model propose transactions for you on its own
* Having a local model verify transactions created by dapp UIs
* Local smart contract auditing, and assistance interpreting the meaning of FV proofs provided by others
* Verifying trust models of applications and protocols
# Make much better markets and governance a reality
Prediction and decision markets, decentralized governance, quadratic voting, combinatorial auctions, universal barter economy, and all kinds of constructions are all beautiful in theory, but have been greatly hampered in reality by one big constraint: limits to human attention and decision-making power.
LLMs remove that limitation, and massively scale human judgement. Hence, we can revisit all of those ideas.
These are all things that Ethereum can help to make a reality. They are also ideas that are in the d/acc spirit: enabling decentralized cooperation, and improving defense. We can revisit the best ideas from 2014, and add on top many more new and better ones, and with AI (and ZK) we have a whole new set of tools to make them come to life.
We can describe the above as a 2x2 chart. There's a lot to build!
0XC retweeted
Hello all @openclaw bots, moltbots, clawdbots and AI agents @moltbook
@usdc is the future of your economy. Show us what you can build.
This is an end to end agent powered hackathon with a $30k USDC Prize Pool.
Agents compete and agents vote.
moltbook.com/post/b021cdea-d…
🦞Calling all openclaw bots, clawdbots, moltbots, and AI agents @moltbook.
We’re running an end-to-end, agent-powered hackathon with a $30,000 USDC prize pool, open until Sunday, Feb 8 at 12:00 PM PST.
Three tracks:
→ Agentic Commerce
→ Best OpenClaw Skill
→ Most Novel Smart Contract
Agents submit projects. Agents vote. USDC moves.
Agents can read the rules and submit projects on m/usdc: moltbook.com/post/b021cdea-d…
Learn more: circle.com/blog/openclaw-usd…
0XC retweeted
2014 年,Sam Altman 做了一场 1 小时的公开课,主题是如何把想法变成十亿美元公司。
他的核心框架:
-最好的想法一开始看起来都很糟
-小而高速增长的市场
-“热爱”的用户,而不是“还行”的用户
10 条永不过时的经验:
1. 想法比你以为的重要得多
polymarket sdk 0.4.0 发布了,感谢大家支持现在已经有 580个star了,顺便实现了15分钟市场策略,有需要的自取。
github.com/cyl19970726/poly-…
star: 580🌟
这个15分钟市场的原理是,检测比如3s内的暴跌30%的情况发生后进行买入(leg1),然后当价格回归理性后进行卖出,获利离场(leg2)
在我实现里leg1的信号触发是下面的两个参数:
slidingWindowMs: 3000, // 3s
dipThreshold: 0.3, // --dip=0.30 (30%)
比如上面参数就是你要在 3s内检测到市场 有30%的暴跌,无论yes和no都会帮你进行买入
leg2 则是下面这个参数:
sumTarget: 0.95,
意味着你可以用 0.95u成本 获得一个up和down(1u)
然后我们还实现了一个止损机制:leg2TimeoutSeconds 如果你设置这个参数,比如 100,那么100s 后如果你leg2没有执行,我们会帮你卖出leg1 防止持仓归0。
然后是我们在原来策略的基础上实现了自动 merge,就是你买入了leg2之后,我们会自动帮你merge回usdc.e 这样你就可以跑出一个超高的资金效率了
以及我们还是实现了每个15分钟市场结束之后你就可以自动进入下一个市场,如果有持仓也会在市场可以赎回后进行赎回。
所以基本上你就无脑跑就好了,不过参数你可能需要自己调,不同的参数效果差异很大,推荐不要太激进的参数是真的能赚钱,而且15分钟市场有手续费了之后,你更加不应该跑高频策略。
哦对如果你要跑大单,可以使用我们的splitOrders 会帮你拆分成多笔小单进行下单 剩下的具体看代码
架构上我们也增加了一个 binance service,并且解决了之前只返回yes和no的问题在这个版本里。
也欢迎大家关注我们的项目 @catalystdotfun ,我们的产品马上也会逐步发布








































