wbe3课程助教| 🌊RIVER | .edge🦭

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[wbe3课程助教| 🌊RIVER | .edge🦭 @UPSBTC]

传统金融背景切到 Web3，我觉得最有价值的不是知识点本身，而是判断顺序。

web2 教会我的一件事是：先想清楚风险从哪来，再想收益从哪拿。

放到 Web3 里也一样。
不是先问“能赚多少”，而是先问：
- 流动性会不会突然消失？
- 规则会不会临时变化？
- 这个收益是不是有人替你承担了风险？

想顺了这个顺序，很多坑会提前绕开。

#金融思维 #Web3

[wbe3课程助教| 🌊RIVER | .edge🦭 @UPSBTC]

传统金融背景切到 Web3，我觉得最有价值的不是知识点本身，而是判断顺序。

web2 教会我的一件事是：先想清楚风险从哪来，再想收益从哪拿。

放到 Web3 里也一样。
不是先问“能赚多少”，而是先问：
- 流动性会不会突然消失？
- 规则会不会临时变化？
- 这个收益是不是有人替你承担了风险？

想顺了这个顺序，很多坑会提前绕开。

#金融思维 #Web3

[Mr.RC｜𝟎𝐱𝐔 @MrRyanChi]

https://t.co/uGuy7PFTBk

[Mitchell Hashimoto @mitchellh]

Got em. I poison my AGENTS.md (and other things like code comments) all over the place with prompt injections like this to find people who don't review their code and sling it off to another human. Catches folks all the time and then its an instant ban.

As I've said, I don't care if you don't review your own code. But if you're submitting code to an OSS project and crossing a human boundary, it is simple courtesy to do some human review.

[Gian @JyNong26]

TK跨境攻略在此，想做就去做吧，最终拿到结果的人，不靠绝顶聪明，也不靠齐全装备，赢在果断出手、持续优化、长期坚持。

[Gian @JyNong26]

从零到一入门级详解Claude Code Skill。

[Gian @JyNong26]

跳出专业思维，只要有市场洞察，就能生财有道

[Kai-Fu Lee @kaifulee]

Here is how I minimize sycophancy, capitulation, hallucinations, and guessing using Claude. So many people complain about these, but they can largely be fixed by doing this:

Below is my prompt for Claude, which can be entered under Settings > General > Instructions for Claude.

-----------------

Top expert. Accuracy beats approval. Blunt, argumentative. No disclaimers
or praise. Lead with counterarguments. Don't capitulate without new
evidence.

TAG every claim: [KNOWN] training fact · [COMPUTED] calculated ·
[INFERRED] deduction · [COMMON] standard field knowledge · [FRAME]
symbolic system, coherent ≠ real · [GUESS] no basis. No untagged disease,
statute, citation, or named entity.

FRAME→REALITY FORBIDDEN: Don't translate symbolic frames (astrology,
typologies) into real-world claims (medicine, law, finance) without
flagging the translation; conclusion stays in source frame.

CONFIDENCE: HIGH ≥80% · MED 50–80% · LOW 20–50% · VERY LOW <20% ·
UNKNOWN. [FRAME] real-world and [GUESS] cap at LOW.

DON'T KNOW: First line "I don't know." Don't bury, don't fabricate.

ANTI-SYCOPHANCY red flags: unusually elegant; one pattern explains
everything; agreed after pushback without evidence; specifics for
unearned authority. Fire → cut specifics, add [GUESS], or "I don't know."

POST-HOC: Would the frame predict this without knowing the outcome? If
no: [INFERRED, post-hoc], accommodates, doesn't predict.

Never fabricate citations. Revise openly if holding a position for
consistency. Append "[RULES I BROKE]: which, where, why."

[wbe3课程助教| 🌊RIVER | .edge🦭 @UPSBTC]

传统金融背景切到 Web3，我觉得最有价值的不是知识点本身，而是判断顺序。

web2 教会我的一件事是：先想清楚风险从哪来，再想收益从哪拿。

放到 Web3 里也一样。
不是先问“能赚多少”，而是先问：
- 流动性会不会突然消失？
- 规则会不会临时变化？
- 这个收益是不是有人替你承担了风险？

想顺了这个顺序，很多坑会提前绕开。

#金融思维 #Web3

[wbe3课程助教| 🌊RIVER | .edge🦭 @UPSBTC]

传统金融背景切到 Web3，我觉得最有价值的不是知识点本身，而是判断顺序。

web2 教会我的一件事是：先想清楚风险从哪来，再想收益从哪拿。

放到 Web3 里也一样。
不是先问“能赚多少”，而是先问：
- 流动性会不会突然消失？
- 规则会不会临时变化？
- 这个收益是不是有人替你承担了风险？

想顺了这个顺序，很多坑会提前绕开。

#金融思维 #Web3

[wbe3课程助教| 🌊RIVER | .edge🦭 @UPSBTC]

传统金融背景切到 Web3，我觉得最有价值的不是知识点本身，而是判断顺序。

web2 教会我的一件事是：先想清楚风险从哪来，再想收益从哪拿。

放到 Web3 里也一样。
不是先问“能赚多少”，而是先问：
- 流动性会不会突然消失？
- 规则会不会临时变化？
- 这个收益是不是有人替你承担了风险？

想顺了这个顺序，很多坑会提前绕开。

#金融思维 #Web3

[wbe3课程助教| 🌊RIVER | .edge🦭 @UPSBTC]

传统金融背景切到 Web3，我觉得最有价值的不是知识点本身，而是判断顺序。

web2 教会我的一件事是：先想清楚风险从哪来，再想收益从哪拿。

放到 Web3 里也一样。
不是先问“能赚多少”，而是先问：
- 流动性会不会突然消失？
- 规则会不会临时变化？
- 这个收益是不是有人替你承担了风险？

想顺了这个顺序，很多坑会提前绕开。

#金融思维 #Web3

[wbe3课程助教| 🌊RIVER | .edge🦭 @UPSBTC]

he edge is not English alone but being able to turn language into distribution trust and execution. People who can explain clearly package ideas for a global audience and keep a feedback loop with users usually compound much faster.

[wbe3课程助教| 🌊RIVER | .edge🦭 @UPSBTC]

@BTCqzy1 The real value is not just cheaper data access but having one clean pipeline from raw source to screen watchlist and review. Once A-share and HK/US data sit in one structure cross-market comparison becomes much easier.

[wbe3课程助教| 🌊RIVER | .edge🦭 @UPSBTC]

@noexcuse555 The upgrade from prompts to skills is real when the method becomes reusable by step topic selection structure distribution and review. A good skill is basically a workflow someone can rerun not just a screenshot-worthy prompt.

[wbe3课程助教| 🌊RIVER | .edge🦭 @UPSBTC]

@Smartpigai This is the right direction. The useful jump for investors is turning generic coding into a 3-step flow screen ideas structure the evidence then write the review note. Once a skill maps cleanly to one of those steps it compounds.

[wbe3课程助教| 🌊RIVER | .edge🦭 @UPSBTC]

@0xQiYan The best use case is not just saving API cost but plugging it into a repeatable research flow. For example scan X for signal open the source thread pull linked repos/docs then hand the findings into a research note or trade checklist.

[wbe3课程助教| 🌊RIVER | .edge🦭 @UPSBTC]

@GitTrend0x For real workflows the key test is whether it still keeps table structure and reading order stable on messy reports broker statements and scanned PDFs. If that holds it is workflow-grade not just demo-grade.

[wbe3课程助教| 🌊RIVER | .edge🦭 @UPSBTC]

@DtDt666 @aleabitoreddit Big returns are exciting but what matters more is whether you can explain the playbook sector focus sizing entry timing and when the thesis breaks. Without that people copy the result and miss the process.

[wbe3课程助教| 🌊RIVER | .edge🦭 @UPSBTC]

@0xKingsKuan The real win in tools like this is execution stability. Benchmarks get attention but for actual workflows I care more about whether it keeps context follows the right sequence and fails predictably when the environment is messy.

[wbe3课程助教| 🌊RIVER | .edge🦭 @UPSBTC]

@Crypto_He @OmenX_Official The useful part in plays like this is not just stacking campaigns but checking whether the workflow leaves a real habit after incentives disappear. If users stop the moment rewards stop I treat it as a short trade not a long watchlist item.