L
@lorenzoonchain
表哥，happy sci 的善款被币安员工直接销毁了，这个事情你怎么看？就算她他不想参与，是不是也要返还给大家啊或者给社区做贡献啊？
73
3
6
1.1K
Community Sentiment Analysis
Real-time analysis of public opinion and engagement
Sentiment Distribution
78% Engaged
51% Positive
27% Negative
Positive
51%
Negative
27%
Neutral
23%
Critical Perspectives
Community concerns and opposing viewpoints
1
Replyers keep lampooning the feed as “数字泔水” — a recurring joke that frames much of the conversation as low-value, AI‑like noise and cheap memes, with many calling out “AI slop everywhere” and questioning authenticity
Replyers keep lampooning the feed as “数字泔水” — a recurring joke that frames much of the conversation as low-value, AI‑like noise and cheap memes, with many calling out “AI slop everywhere” and questioning authenticity.
2
A heated dispute centers on a charity controversy (the “happy sci” donations), with calls for accountability and one reply drawing notably high engagement (73 likes), turning the thread toward trust and governance
A heated dispute centers on a charity controversy (the “happy sci” donations), with calls for accountability and one reply drawing notably high engagement (73 likes), turning the thread toward trust and governance.
3
Skepticism about AI threads through the replies
people worry AI erodes creativity, produces false positives in moderation, and could become uncontrollable, while others insist AI artifacts are easily spotted.
4
Mixed in are warm, meme‑heavy reactions — greetings, praise (“Legend”), requests for a book or new products, and playful Photoshop/meme references — keeping the tone part critical, part fan community banter
Mixed in are warm, meme‑heavy reactions — greetings, praise (“Legend”), requests for a book or new products, and playful Photoshop/meme references — keeping the tone part critical, part fan community banter.
5
Underlying all this are trust and policy concerns
accusations about platform ties and moderation decisions, plus predictions that tools to hide or remove AI footprints will become big sellers.
N
@NiannianCTO_BNB
Real. No AI https://t.co/dVYHqDNRzZ
8
1
0
233
A
@A9Less
草根文化
7
0
0
345
Supporting Voices
Community members who agree with this perspective
1
Strong support for an "AI-generated" tag and an optional filter
many replies call it a "game changer" that would let users clean their feeds, restore trust, and reduce noise.
2
Widespread frustration with AI spam
commenters describe timelines as flooded with low‑quality "digital garbage" that drowns out real voices and even misleads vulnerable audiences.
3
Demand for automated, confidence‑based detection
people want an automatic probabilistic tag (with confidence scores) and a simple "hide AI posts" toggle rather than relying only on manual Community Notes.
4
Serious worries about false positives
many emphasize detection mistakes could wrongly flag genuine human content, so transparency about criteria and error rates is essential.
5
Calls to use AI to fight AI and improve provenance
suggestions include using models like Grok to detect synthetic media, plus watermarks or verifiable provenance to prove authorship.
6
Preference for user choice, not censorship
commenters frame tagging + filtering as a UX control—letting readers opt out of AI content while preserving creators' freedom.
7
Platform‑level and cross‑platform ambition
numerous replies urge X and other networks to adopt a common standard so the problem doesn’t just migrate elsewhere.
8
Global, multilingual consensus
replies in Chinese, Vietnamese, Turkish and English echo the same points—support for labeling, concern about noise, and caution about detection accuracy.
B
@bulkedsol
is this AI, CZ?
7
1
1
424
C
@CryptoGuy_BNB
So that we can differetiate between real or fake. So hard to believe in anything nowadays. 😪
6
2
0
939
W
@wenmin16
我觉得大表哥的观点非常有必要。现在对于创作的门槛越来越低了，文章可以AI写，图片视频可以AI生成，人反而成了AI的搬运工，经常分不清AI内容与真实内容。
6
0
0
427