DataQuest_Cardano

DataQuest : A Game-Fi driven AI data training platform.

[DataQuest_Cardano @DataQuestCamtop]

What if labeling AI data felt like playing a game?
Introducing DataQuest! Built on Cardano.

🕹️ Play games that train AI → 💰 Get paid in stablecoins → 🏆 Rank up for bigger rewards

Watch our vision ：
https://t.co/kNkaZnQStv

#Cardano #ProjectCatalyst #Fund15 #AI #GameFi

[DataQuest_Cardano @DataQuestCamtop]

@midnightexplr @Google @googlecloud @MidnightNtwrk @midnightfdn Everyone, it’s not too late to join the Cardano and Midnight ecosystem, you know what I mean 😏
We’ll keep building!

[DataQuest_Cardano @DataQuestCamtop]

@dannyribar
Dear Catalyst Team,

Thank you for your email and for the time and effort your team dedicates to reviewing the many proposals submitted to Fund15.

I am writing to respectfully request clarification regarding the moderation decision on our proposal. We were surprised and deeply disappointed to learn that our submission was not selected to advance to the voting ballot, as we believed we had thoroughly met all compliance and eligibility requirements.

Our Preparation Process:

We approached this submission with the utmost care and diligence:

1. Complete Demo: We provided a fully functional demonstration of our project.
2. Comprehensive Team Documentation: We submitted a detailed presentation (PPT) showcasing our team's relevant background and professional track record.
3. Thorough Proposal Content: Our submission included a complete project proposal with all supporting documentation.
4. Pre-Submission Review: Most importantly, our proposal was reviewed and verified by consultants prior to submission to ensure compliance with all guidelines.

Given the level of preparation and the EccentricLabs professional guidance we received, we are genuinely confused about where our submission may have fallen short.

The Impact on Our Team:

I must be candid with you, this decision has been a significant blow to our team. We invested considerable time, effort, and resources into this proposal, not only in preparing the submission itself but also in conducting promotional activities to build community support. We took every possible step to ensure our proposal met the highest standards, including seeking professional consultation before submission.

Without understanding the specific reasons for this outcome, it is difficult for us to move forward constructively. The uncertainty is deeply discouraging, and we sincerely hope you can help us understand what went wrong so that our efforts have not been in vain.

Our Request:

We kindly ask if you could provide us with specific information regarding:

1. Which particular guideline(s) or requirement(s) our proposal did not meet?
2. Under which moderation category (as listed in your email) was our proposal flagged?
3. Any specific areas where our documentation was deemed insufficient?

This proposal represents a significant effort from our team, and understanding the exact reasons for this decision would be invaluable, not only for our future participation in the Catalyst ecosystem but also to bring closure to our current disappointment.

Warm regards,

Angus Tsai ( X : @Angus_Camtop)
Project Name : DataQuest : A Game-Fi driven AI data labeling platform
( X : @DataQuestCamtop)

Contact Email :
[email protected]
[email protected]

DataQuest webpage and Demo:
https://t.co/VB8BAPJHCy

DataQuest Team Profile (We are Taiwan Camtop team):
https://t.co/yZJtNsGJxU

[DataQuest_Cardano @DataQuestCamtop]

@dannyribar
Dear Catalyst Team,
Thank you for your email and for the time and effort your team dedicates to reviewing the many proposals submitted to Fund15.

I am writing to respectfully request clarification regarding the moderation decision on our proposal. We were surprised and deeply disappointed to learn that our submission was not selected to advance to the voting ballot, as we believed we had thoroughly met all compliance and eligibility requirements.

Our Preparation Process:

We approached this submission with the utmost care and diligence:

1. Complete Demo: We provided a fully functional demonstration of our project.
2. Comprehensive Team Documentation: We submitted a detailed presentation (PPT) showcasing our team's relevant background and professional track record.
3. Thorough Proposal Content: Our submission included a complete project proposal with all supporting documentation.
4. Pre-Submission Review: Most importantly, our proposal was reviewed and verified by consultants prior to submission to ensure compliance with all guidelines.

Given the level of preparation and the EccentricLabs professional guidance we received, we are genuinely confused about where our submission may have fallen short.

The Impact on Our Team:

I must be candid with you, this decision has been a significant blow to our team. We invested considerable time, effort, and resources into this proposal, not only in preparing the submission itself but also in conducting promotional activities to build community support. We took every possible step to ensure our proposal met the highest standards, including seeking professional consultation before submission.

Without understanding the specific reasons for this outcome, it is difficult for us to move forward constructively. The uncertainty is deeply discouraging, and we sincerely hope you can help us understand what went wrong so that our efforts have not been in vain.

Our Request:

We kindly ask if you could provide us with specific information regarding:

1. Which particular guideline(s) or requirement(s) our proposal did not meet?
2. Under which moderation category (as listed in your email) was our proposal flagged?
3. Any specific areas where our documentation was deemed insufficient?

This proposal represents a significant effort from our team, and understanding the exact reasons for this decision would be invaluable, not only for our future participation in the Catalyst ecosystem but also to bring closure to our current disappointment.

Warm regards,

Angus Tsai ( X : @Angus_Camtop)
Project Name : DataQuest : A Game-Fi driven AI data labeling platform
( X : @DataQuestCamtop)

Contact Email :
[email protected]
[email protected]

DataQuest webpage and Demo:
https://t.co/VB8BAPJHCy

DataQuest Team Profile (We are Taiwan Camtop team):
https://t.co/yZJtNsGJxU

[DataQuest_Cardano @DataQuestCamtop]

@NealSIDAN @IOHK_Charles @DeltaDeFi Let’s go～
We'll keep building⚡️

[DataQuest_Cardano @DataQuestCamtop]

@Angus_Camtop @grok Maybe @grok is still sleeping, perhaps we can try asking @GeminiApp @ChatGPTapp @claudeai

[DataQuest_Cardano @DataQuestCamtop]

In our team meeting today, we had a deep discussion on the issue of AI Ethics.
@Angus_Camtop raised a different point, and we felt this topic was worth exploring with the community. 👇

The AI Paradox of Trust, how to Fix AI Ethics Without Exposing Secrets

We often talk about the "Singularity" with fear. But there is a more immediate, silent situation unfolding right now: The Crisis of Provenance.

When we interact with an LLM today, we are talking to a statistical average of the internet. It is a mix of genius, bias, and hallucinations. We know the output, but we are blind to the input.

This brings us to the Misconception of "Transparency".
There is a loud demand for "AI Transparency," and people think ethical AI means exposing every dataset to the public.

But this is wrong. Corporations and individuals have a right to privacy. Intellectual property must be protected. You shouldn't have to strip away confidentiality to prove your AI is safe.

So, we believe True Ethics Requires Verification, Not Exposure.
The solution isn't to make all data public; it's to make the verification process public. We need to shift from "Trust them, they checked the data" to "Don't trust blindly, let's participate in the verification."

Ethical AI must be built on a new standard of "Verifiable Integrity." Here is our view:

It starts with Proof of Human Work.
We don't need to see the raw training data, such as private medical records or proprietary code. But we do need cryptographic evidence that a professional, distributed group of humans verified its accuracy. Furthermore, there must be open channels for the public to receive training and participate in this verification.

Then, there is Privacy-Preserving Provenance.
This allows us to use technology like ZK-proofs or privacy chains to prove data is high-quality and bias-free without ever leaking the raw content.

And finally, the "Glass Box" Process.
The data itself can remain in a black box for safety, but the audit trail, the history of who validated it and when, must live in a transparent glass box.

In the past, technology development often rushed toward automation, sometimes forgetting that the "Human-in-the-Loop" is the moral anchor.
But an AI trained on private data verified by human consensus? Maybe that is the gold standard.
And at DataQuest, this is exactly the future we are working to build.

The future of AI ethics isn't about choosing between privacy and trust. It’s about using technology to guarantee both.
We verify the source, we protect the content, and we trust the math.

#AIEthics #LLM #AIAgent #Web3 #Cardano #Midnight

[DataQuest_Cardano @DataQuestCamtop]

@jiaozibullish @CardanoLeo
Leo是真的暖~可惜我們那天時間也衝突無法前往，下次Leo辦活動我們一定盡力排開行程到現場💪

感謝餃子平時在YT的科普，也因為有您的努力推廣，才讓我們有機會認識並加入Cardano的生態家庭🙏

[DataQuest_Cardano @DataQuestCamtop]

@CardanoLeo 衝啊～
一起為Cardano生態構建更多高價值應用！

[DataQuest_Cardano @DataQuestCamtop]

@Lovelace6260911 Midnight のユースケースは、企業と Web3 の世界をつなぐ重要な架け橋となるでしょう。
今後の展開に期待しましょう。

[DataQuest_Cardano @DataQuestCamtop]

@Cardano_CF @petrobras @SERPRO Looking forward to it!

[DataQuest_Cardano @DataQuestCamtop]

@Cardanians_io Midnight will become the bridge to connect enterprises and Web3 world. Let’s keep building. 🚀🚀🚀

[DataQuest_Cardano @DataQuestCamtop]

@YoroiWallet Congrats ! 🎉 keep building

[DataQuest_Cardano @DataQuestCamtop]

@Cardano_CF It’s a good resource for startup building on Cardano. #Catalyst #fund15 #DataQuest

[DataQuest_Cardano @DataQuestCamtop]

@Hahero7 Amazing! Let’s build the project on Cardano.

[DataQuest_Cardano @DataQuestCamtop]

@1Exit_Liquidity @midnightfdn Thanks for sharing the information. Let’s build the project on Midnight.

[DataQuest_Cardano @DataQuestCamtop]

@jsierrax @RodrigoPacini @cardanoco @Catalyst_onX @IntersectMBO @phillip_pon @giozzi @midnightfdn @timbharrison We also build the project in catalyst fund 15. Our project focuses on AI data labeling. Let’s build on Cardano and make the ecosystem more strong.

[DataQuest_Cardano @DataQuestCamtop]

@funkyhiro2009 これは DataQuest が描いている未来です。
Cardano と Midnight のユースケースは、企業と Web3 をつなぐ架け橋になっていくでしょう。

[DataQuest_Cardano @DataQuestCamtop]

@Lovelace6260911 その通りです。Cardanoの基盤となる台帳モデルであるeUTXO、そしてMidnightのプライバシースマートコントラクトは、いずれも企業のニーズに対応した基礎インフラを整えています。私たちもCardanoの将来性を非常に高く評価しています！

[DataQuest_Cardano @DataQuestCamtop]

@slowhand4040 @grok はい、そして今回のCatalyst Fund15でも、Cardanoに真の価値をもたらすプロジェクトを構築する準備ができている優秀なチームが数多くいます。Cardanoの未来を信じています！

[DataQuest_Cardano @DataQuestCamtop]

@CardanoLeo 真的，原本一天曝光量500～1000
試了一下互相關注，昨天貼文曝光量剩 9 🥲
還是平常心繼續做，累積真實內容慢慢構建會員才是真的