⚡白云苍狗

⚡研究区块链开发技术，造自己的AI，立旗。
you can outsource your thinking but you can't outsource your understanding.
#OpenClaw #AgentAwakening

[⚡白云苍狗 @Guai_Pi88828]

蓝V没有，加套设备，应了那句话屏幕越多硬的更久。

[⚡白云苍狗 @Guai_Pi88828]

@TheAhmadOsman 用Colima做容器分配10核心24G内存，在我的32G统一内存上用起来很丝滑，我会继续推广ODS，谢谢🙏

[Ahmad @TheAhmadOsman]

ODS - The Fullstack Local AI Deployment system

https://t.co/VFuKgVPOve

[⚡白云苍狗 @Guai_Pi88828]

@Ric_RTP 支持开源，使用ODS

ODS - The Fullstack Local AI Deployment system

[Ricardo @Ric_RTP]

Elon Musk just pulled off the biggest AI power grab of 2026.

Tesla is capping every employee at $200 a week on AI spending starting Monday, July 6.

Media's celebrating it as cost control.

But what Elon actually built is an expense policy that redirects his own engineering workforce off Claude and onto Grok, while every competitor gets throttled by internal procurement rules.

Here's what happened:

Tesla spent the last six months pushing engineers to use AI as aggressively as possible.

Leadership built an internal platform called Bottle Rocket that gave employees access to Claude, GPT, Gemini, Grok, and Cursor.

They gamified adoption by ranking engineers on internal leaderboards by how many AI tokens they consumed.

The strategy worked. Software engineers started burning THOUSANDS of dollars a week on Claude and Cursor.

Then the invoices arrived and Tesla panicked.

But they didn't pull the standard cost-control response...

The loophole:

The $200 weekly cap does not apply to beta products from xAI.

Grok is completely exempt from the cap. Anthropic's Claude, OpenAI's GPT, and Google's Gemini all get throttled at the same $200 line.

Four Tesla engineers told Electrek that internal usage overwhelmingly favors Claude over Grok.

That preference is about to become financially punishing overnight.

The genius part:

This quarter SpaceX is closing a $60 billion all-stock acquisition of Anysphere, the parent company of Cursor.

The moment that deal closes, Cursor's Composer coding model falls under the same Musk-controlled ecosystem, and any Tesla engineer choosing between a capped Claude session and an uncapped Composer session will pay a financial penalty for using the tool they actually prefer.

By exempting only his own products from the cap, Elon is using Tesla shareholder money to build market share for xAI without ever having to disclose that is what he is doing.

Because on paper, it is cost control.

Now zoom out to what this signals for the wider AI narrative:

Uber capped employees at $1,500 a month after burning $3.4 billion in four months.

Meta introduced spending caps.

Amazon and Walmart pushed staff toward cheaper models.

Microsoft canceled Claude Code licenses across 100,000 engineers.

Every Fortune 500 that pushed heavy AI adoption in 2025 is now rationing it in 2026.

Meanwhile Nvidia is trading at a $5 trillion market cap. That entire valuation assumes enterprise AI consumption is about to explode across the economy.

But every company actually deploying AI at scale is telling their own engineers to slow down.

One of these narratives is lying.

Goldman Sachs still forecasts a 24x increase in token consumption by 2030.

Gartner says total enterprise AI costs will keep climbing because agents consume exponentially more tokens per task.

Jensen Huang keeps repeating that 100 AI agents will work alongside every employee.

And now the CEO of the most agentic company on the planet just told his own engineers they cannot spend more than $200 a week on the tools those agents need to run.

Retail investors buying Nvidia and Palantir today are betting enterprise AI adoption compounds without limit.

The CEOs deploying AI inside those same enterprises are betting the exact opposite, in writing, by internal memo.

Thoughts?

[Ahmad @TheAhmadOsman]

Anthropic is a company wrapping a business model in moral language, then using that language to justify opaque model behavior, anti-competitive access rules, regulatory pressure, and a future where builders, startups, researchers, and Opensource communities stay downstream of a few blessed frontier labs.

If a coding or research model secretly changes the quality, direction, or reliability of an answer because it classified the user as doing disallowed frontier work, the tool is no longer merely "safe." It is untrustworthy.

Anthropic's moat is being a permission regime. On daily basis, competitors and acquisition targets discover that access can disappear. The company asks governments to bless safety frameworks, deployment gates, incident reporting, evaluation regimes, and even future pauses that incumbents are best positioned to survive.

Imagine a compiler that emits worse binaries when it thinks you are building a competing compiler. Imagine a microscope that blurs certain samples because the manufacturer dislikes the research direction. Imagine a debugger that lies only when your codebase resembles a future rival.

The fight is whether intelligence becomes something people can own, inspect, modify, run locally, fine-tune, study, route, and improve, or whether it becomes a subscription permission layer run by companies that can refuse, degrade, surveil, retain, revoke, reroute, or lobby away your access.

Anthropic can learn from the internet, copyrighted books, code, public knowledge, user feedback if permitted, synthetic data, and its own models. But if a developer uses Claude to bootstrap a competitive open assistant, Anthropic calls foul. The company argues that safety controls may be lost and that competing models undermine the investment required to build frontier systems.

If Anthropic wants to be treated like a public-interest safety institution, it cannot behave like a hypersensitive platform monopolist whenever a customer gets too close to building alternatives.

Yes, companies protect their IP. But Anthropic is not selling a normal SaaS widget. It is selling cognition as infrastructure. Once cognition becomes infrastructure, anti-competitive access control stops being a normal vendor dispute and becomes a social bottleneck.

Anthropic repeatedly converts safety, security, and responsible deployment into mechanisms of control over who may build and what could be built.

We cannot trust them.

[⚡白云苍狗 @Guai_Pi88828]

@TheAhmadOsman AI发展到现在这个阶段，本质上已经是站在全人类肩膀上的集体成果，谁也别想独占“知识”本身。

[Andrej Karpathy @karpathy]

This is a super exciting release - Claude Fable 5 is the same underlying model as Mythos but with added safeguards. The benchmarks are great and it's SOTA on everything by a margin but I'll add that *qualitatively* also, this is a major-version-bump-deserving step change forward (imo of the same order as Claude 4.5 was in November), peaking especially for long problem-solving sessions on very difficult problems. You can give it a lot more ambitious tasks than what you're used to, the model "gets it" and it will just go, and it's never felt this tempting to stop looking at the code at all (but don't do this in prod!). The model still has quirks that people will run into and the safeguards are configured to be a little too trigger happy for launch, which can hopefully be tuned over time.

I feel a lot of things changing as working software increasingly comes out on a tap. The Jevon's paradox kicks in and I feel my own demand for software growing substantially. You can ask for anything - explainers, visualizers, dashboards, bespoke single-use apps (e.g. a full wandb that is hyper-specific just for your project), you can 10X your test suite, auto-optimize code, run giant research projects with custom HTML for the results, anything! "Free your mind" (Matrix ref). Really looking forward to all the things people build!

[⚡白云苍狗 @Guai_Pi88828]

Karpathy 加入 Anthropic 了！AI 军备竞赛瞬间升级，这场好戏越来越刺激了！ OpenAI 元老 + Tesla AI 前掌门直接空降 Anthropic，这不就是把“超级巨星”签到对手阵营吗？Claude 还要飞多高？
LLM 前沿的格局彻底乱了。谁还敢说 2026 是平静的一年？

[Andrej Karpathy @karpathy]

Personal update: I've joined Anthropic. I think the next few years at the frontier of LLMs will be especially formative. I am very excited to join the team here and get back to R&D. I remain deeply passionate about education and plan to resume my work on it in time.

[⚡白云苍狗 @Guai_Pi88828]

@alifcoder 不会是营销的吧，我试试EBOOK

[⚡白云苍狗 @Guai_Pi88828]

郭宇｜Claude Code：知识工作者的终结｜AI会给我们的生活带来什么样的变化？｜单向街东京 https://t.co/OW1n7FjuiW 来自 @YouTube
持续学习claude code

[⚡白云苍狗 @Guai_Pi88828]

你觉得稳定币会变成银行的一部分吗？

[⚡白云苍狗 @Guai_Pi88828]

稳定币不是在颠覆银行。
它正在被银行驯化。
这不是创新，是收编。

先借用“Web3”的壳，
再删掉去中心化的基因，
最后交给发钞行托管。

你看到的是区块链。
实际运行的是一个可冻结资产的数据库。
他们没有对抗加密。
他们让它变得安全、可控、且无害。
#香港稳定币悖论 #去中心化失效 #金融衰落

[⚡白云苍狗 @Guai_Pi88828]

真正的问题不是监管，而是谁拥有冻结按钮。

[⚡白云苍狗 @Guai_Pi88828]

“合规”的本质，是把不确定性变成可控制的风险。

[⚡白云苍狗 @Guai_Pi88828]

最终的问题很简单，也很残酷：
一个失去“野性基因”的系统，
还能吸引全球节点自发接入吗？
无论是链上代币，还是一座城市。
共识一旦消散，标签毫无意义。
#香港稳定币悖论 #去中心化失效 #合规税 #香港金融中心衰落

[⚡白云苍狗 @Guai_Pi88828]

真正的信任，不来自KYC，不来自按钮权限。
而来自一个更古老的共识：规则高于权力。
当“抗审查”被定义为风险，
当“开放”被视为漏洞，
你看到的稳定，是流动性的终结。
#香港稳定币悖论 #去中心化失效 #合规税 #香港金融中心衰落

[⚡白云苍狗 @Guai_Pi88828]

问题从来不是技术，而是“谁掌控边界”。
当白名单取代开放网络，当冻结权凌驾规则，
所谓稳定币，不过是带壳的许可数据库。
同样的逻辑，也在改写一座城市的运行方式。
自由不是消失，而是被替换。
#香港稳定币悖论 #去中心化失效 #合规税 #香港金融中心衰落

[⚡白云苍狗 @Guai_Pi88828]

一座城市，也曾是“原生代币”。
无需许可，自由接入全球网络；
无需背书，只靠规则与契约建立信任。
当年的香港，本质不是金融中心，而是一个“去信任化协议”。
而今天，这个协议正在被重写。
#香港稳定币悖论 #去中心化失效 #合规税 #香港金融中心衰落

[⚡白云苍狗 @Guai_Pi88828]

终局很清晰：
旧金融不对抗新技术，而是“吞噬+重写”。
稳定币不再是革命工具，而变成维稳工具。
你以为你在用未来，其实只是旧秩序的升级版牢笼。
#香港稳定币悖论 #去中心化失效 #合规税 #香港金融中心衰落

[⚡白云苍狗 @Guai_Pi88828]

真正的收编发生在“基因层”：
去中心化？删掉。
抗审查？删除。
无许可？封死。
留下的，只是一个被监管驯化的“区块链壳”。
这不是进化，是定向阉割。
#香港稳定币悖论 #去中心化失效 #合规税 #香港金融中心衰落