BeeGee

Building AI RIO (Reasoning and Inference Optimization).

[BeeGee @BeeGeeEth]

@gguoss 逻辑是现实的一部分。比特币网络包含了很多压缩的信息（能量，竞争即“点对点的直觉的选择” 等），但不等于是“未经压缩的完整现实”。

这个等式缺了一点：系统是否真的捕获了现实的全部相关变量。 我的直觉是，完整的真实所包含的内容会大于逻辑加直觉选择这两点，还包括很多，我没法用一个公式去涵盖。

[BeeGee @BeeGeeEth]

@gguoss 比特币网络的涌现不是来自纯粹确定性逻辑，也不是来自未经压缩的完整现实，而是来自两者的结合和竞争形成。我觉得对于 GEB 来说，要去做一个落地的，对于验证方面的场景。这样才能更好地去实现，类似于比特币网络的功能和场景。

[BeeGee @BeeGeeEth]

比特币如果变成不主导 Crypto 的时候，说明是 Crypto 资产逐渐走向成熟和应用的时候，这其实是一件好事。

https://t.co/Pg8B39kqRI

[BeeGee @BeeGeeEth]

巴菲特总是说黄金或比特币不具有生产收益的功能, 也就是非外生性的资产。

实际是中本聪出于有效拓展的选择了内生性，只赋予了一个转账最简单的功能。

比特币开拓了一个新的范式。在此基础上，所谓的外生性的，也就是能进一步创造收益的资产, 开始在这基础上发展起来。

[BeeGee @BeeGeeEth]

https://t.co/Ef8R26Wl86

[BeeGee @BeeGeeEth]

AI 是长期结构性技术，当前确实有泡沫; 其 ROI 也尚未充分证明。

当然, ROI 还没验证，不代表未来不会验证，AI 的长期价值需要成本下降和流程融合后才会真正释放。

我觉得作为个人来看，一方面是跟上 AI 的做法，在投资方面可以随波逐流一小段, 但是要清醒的认识并及时退出 (虽然这个实际上是很难)。

[BeeGee @BeeGeeEth]

但是从达利欧的观点来看，他更多是是结合过去的金融发展的历史来看，认为当前的 财政架构无法驾驭当前的泡沫投资, 所以认为它必然会崩溃。两者其实可以同时正确。第一，取决于你站在哪个位置，同时取决于你对于未来的看法以及你对于你的行动所基于的时间长度是多久。 https://t.co/zIFr7FVTtr

[BeeGee @BeeGeeEth]

AI 有泡沫，这个我觉得大家都知道。但是泡沫只是一种叙事，也许泡沫终将破灭，但是其程度如何我们未知，同时也不妨碍我们在泡沫破裂之前能尽力抓取我们能有的机会。就像比特币的泡沫"破灭"之前，仍然有巨大的增长机会一样。

[BeeGee @BeeGeeEth]

具体来看，我认为黄仁勋和达利欧，他们是站在价值链的不同位置, 讲的是 AI 发展的两个不同的阶段。我认为, 在黄仁勋看来，人们的思想其实还是被过去的经验所束缚，没有看到 AI 发展的巨大的潜力, 所以说他才说 AI 会给人带来"疯狂的回报", 当然可能更多的是对于英伟达的回报。

[BeeGee @BeeGeeEth]

Now at 313 downloads on ClawHub.

https://t.co/RLCiMiYJDz

I’m looking for your feedback, just DM me:

- Did it find actual waste?
- Did it create false positives?
- Was the next action clear?

or anything you wanna share.

[BeeGee @BeeGeeEth]

Key principle:

Low output is not waste by itself.

Waste means the agent consumed tokens without producing useful downstream value.

Try:

check token waste for [My_Agent]

or:

eval cost change for [My_Agent]

[BeeGee @BeeGeeEth]

I built Agent Token Cost Signal Kit to catch these signals earlier.

It does not calculate exact billing.

It flags token-waste patterns and gives a practical next action:

- watch only
- investigate one path
- keep status quo
- review rollback candidate

[BeeGee @BeeGeeEth]

Agent cost waste often does not come from expensive models.

It comes from silent recurring loops:

-scheduled jobs returning NO_REPLY
-duplicate cron tasks
-retries with no useful result
-full agent loops launched when no upstream signal exists

That is where token waste hides.

[BeeGee @BeeGeeEth]

TokenSave v0.1 is live: https://t.co/iPDJsxhF3L

A local-first tool for auditing recurring AI agent job waste:

duplicate jobs
retry loops
stale automations
routing/model waste
silent failure patterns

No telemetry. No external API calls. No auto-remediation.

Feedback welcome.

[BeeGee @BeeGeeEth]

Try it here:

https://t.co/XOezil7V9z

If the output is confusing, too long, or not useful, DM me directly.

I’m especially looking for feedback from people who actually do long-term business research.

[BeeGee @BeeGeeEth]

Most investors waste too much time asking:

“Should I buy this stock?”

Wrong first question.

The better first question is:

“Is this company even worth researching?”

So I made a small OpenClaw skill:

What Buffett Would Do

[BeeGee @BeeGeeEth]

Use it like this:

“what Buffett would do with [company/ticker]”

It gives you 3 things:

1. Research Now / Watch / Skip / NEEDS INFO
2. What to check first
3. A prompt you can paste into your agent

No buy/sell call.
No price target.
No fake Buffett prediction.

[BeeGee @BeeGeeEth]

@sitinme 这个方法非常赞！ 我刚才还在另外一个群里面说是前台用大模型进行语义的识别和任务的分解，后台可以接传统的那些软件规则的做法，这样就可以避免一些无谓的错误 但我没有软件背景，也不知道这样是否可行。你这个方法确实是比较好的解决办法。

[BeeGee @BeeGeeEth]

5/ Please don’t send raw logs, secrets, Telegram IDs, private job names, or full payloads.

Redacted feedback is enough:

“Top 1 was useful”
“false positive”
“failed to run”
“unsafe command”
“would use again / would not”

Blunt feedback is exactly what I need.

Cheers,

[BeeGee @BeeGeeEth]

1/ Your OpenClaw cron jobs may be quietly burning tokens.

I built a local-first Waste Audit skill to help users find:
- which recurring jobs are wasting tokens
- which one to inspect first
- why it matters
- what evidence supports it

No API key. No account access. No log upload

[BeeGee @BeeGeeEth]

4/ If you use OpenClaw/Hermes Agent, please try it and DM me directly on X with feedback.

Tell me:

1. Did it run successfully?
2. Did it find real waste?
3. Was the Top 1 recommendation useful?
4. Was anything unsafe or confusing?
5. Would you use it again?