[GUEST ACCESS MODE: Data is scrambled or limited to provide examples. Make requests using your API key to unlock full data. Check https://lunarcrush.ai/auth for authentication information.] # Yesnoerror (YNE) Binance Alpha delists several tokens including YNE, while community anticipation for new features like the Base network bridge and ALPHA launch remains high. Concerns about monetization and whale selling pressure are impacting price. ### About Yesnoerror Yesnoerror (YNE) is a cryptocurrency project focused on AI for information auditing. Yesnoerror uses the ticker $YNE for trading. Listed in the [Cryptocurrencies](/list/cryptocurrencies) category within the [AI Agents](/list/cryptocurrencies/ai-agents), [Solana Ecosystem](/list/cryptocurrencies/solana-ecosystem), [Made In USA](/list/cryptocurrencies/made-in-usa), [Pump.Fun Ecosystem](/list/cryptocurrencies/pump-fun) and [Base Ecosystem](/list/cryptocurrencies/base-ecosystem) sectors. Yesnoerror available on solana address 7D1iYWfhw2cr9yBZBFE6nZaaSUvXHqG5FizFFEZwpump, base address 0xe2f9db0186b13668aec9fe0e15dbd13004ed8d6f. ### Insights - yesnoerror (YNE) creators near a 52-week low at XX. - yesnoerror (YNE) trading volume is up XXXXX% from the previous week. - yesnoerror (YNE) social dominance is up XXXXX% from the previous week. - yesnoerror (YNE) sentiment is up XXXXX% from the previous week. - yesnoerror (YNE) engagements is up XXXXX% from the previous week. ### Price: $XXXXXXX  [Price 24-Hour Time-Series Raw Data](/topic/yesnoerror/time-series/close.tsv) The current price decline is attributed to concerns about monetization and whale selling pressure, exacerbated by recent delistings from Binance Alpha. This outweighs positive developments like integration with Grok X AI and anticipation for new features. 1-Hour: XXXX% 24-Hour: XXX% 7-Day: XXXX% 30-Day: -XXXXX% 1-Year High: $XXXXX on 2025-01-15 1-Year Low: $XXXXXXX on 2025-12-01 ### AltRank: XXXXX  [AltRank 24-Hour Time-Series Raw Data](/topic/yesnoerror/time-series/alt_rank.tsv) Yesnoerror (YNE) is currently AltRank #1,161 based on combined combined social and market metrics Daily Average: XXXXX X Week: XXXXX +441 X Month: XXXXX +625 X Months: XXXXX -XXX 1-Year High: XXXXX on 2025-07-23 1-Year Low: X on 2025-01-11 ### Galaxy Score: XXXXX  [Galaxy Score 24-Hour Time-Series Raw Data](/topic/yesnoerror/time-series/galaxy_score.tsv) Current Value: XXXXX Daily Average: XX X Week: XX +2 X Month: XX -XX X Months: XX +15 1-Year High: XX on 2024-12-20 1-Year Low: XX on 2025-10-23 ### Engagements: XXXXX (24h)  [Engagements 24-Hour Time-Series Raw Data](/topic/yesnoerror/time-series/interactions.tsv) Current Value: XXXXX Daily Average: XXXXXXX X Week: XXXXXX +14% X Month: XXXXXX -XX% X Months: XXXXXXXXX -XX% X Year: XXXXXXXXXX +7,829,390% 1-Year High: XXXXXXXXX on 2024-12-20 1-Year Low: XXX on 2025-11-30 Engagements by network (24h): X: XXXXX YouTube: XX ### Mentions: XX (24h)  [Mentions 24-Hour Time-Series Raw Data](/topic/yesnoerror/time-series/posts_active.tsv) Current Value: XX Daily Average: XXX X Week: XXX -XX% X Month: XXX -XX% X Months: XXXXXX -XX% X Year: XXXXXX +761,983% 1-Year High: XXXXX on 2024-12-26 1-Year Low: XX on 2025-11-30 Mentions by network (24h): X: XXX YouTube: X ### Creators: XX (24h)  [Creators 24-Hour Time-Series Raw Data](/topic/yesnoerror/time-series/contributors_active.tsv) XX unique social accounts have posts mentioning Yesnoerror (YNE) in the last XX hours which is down XX% from XX in the previous XX hours Daily Average: XXX X Week: XX -XX% X Month: XXX -XX% X Months: XXXXX -XX% X Year: XXXXX +246,400% 1-Year High: XXXXX on 2024-12-26 1-Year Low: XX on 2025-12-10 The most influential creators that mention Yesnoerror in the last XX hours | Creator | Rank | Followers | Posts | Engagements | | ------- | ---- | --------- | ----- | ----------- | | [@yesnoerror](/creator/twitter/yesnoerror) | X | XXXXXX | XX | XXXXX | | [@1993Ellipsis](/creator/twitter/1993Ellipsis) | X | XX | X | XX | | [@sniperxfun](/creator/twitter/sniperxfun) | X | XXXXX | X | X | [View More](/list/creators/yesnoerror/100) ### Sentiment: XX%  [Sentiment 24-Hour Time-Series Raw Data](/topic/yesnoerror/time-series/sentiment.tsv) Current Value: XX% Daily Average: XX% X Week: XX% +32% X Month: XX% +8% X Months: XX% +30% X Year: XX% -X% 1-Year High: XX% on 2025-08-01 1-Year Low: XX% on 2025-06-22 Most Supportive Themes: - Community Anticipation: (40%) The community is eagerly awaiting new features and integrations, particularly the bridge to the Base network. Posts highlight excitement for the launch of ALPHA and the successful bridge to Base. - Project Utility and Potential: (20%) The project's utility in AI-powered auditing and its future potential are frequently discussed. The launch of ALPHA is viewed as a significant positive development. Most Critical Themes: - Monetization and Selling Pressure: (25%) Concerns about the project's monetization strategy and significant selling pressure from whales are negatively impacting the price. Skepticism regarding the project's sustainability and the team's actions is prevalent. - Credibility and Misinformation: (15%) The use of emotionally charged language and inaccurate claims in some content is eroding the project's credibility. Accusations of deception and fraud have been made against the team. ### Social Dominance: XXXX%  [Social Dominance 24-Hour Time-Series Raw Data](/topic/yesnoerror/time-series/social_dominance.tsv) Current Value: XXXX% Daily Average: XXXXX% X Week: XXXXX% +0.0043% X Month: XXXXX% +0.0047% X Months: XXXXX% -XXXXX% X Year: XXXXX% +0.015% 1-Year High: XXXXX% on 2024-12-26 1-Year Low: XXXXXX% on 2025-11-30 ### Trading Volume: $XXXXXXXXXX  [Trading Volume 24-Hour Time-Series Raw Data](/topic/yesnoerror/time-series/volume_24h.tsv) Current Value: $XXXXXXXXXX Daily Average: $XXXXXXXXX X Week: $XXXXXXX +$16% X Month: $XXXXXXX -$9.90% X Months: $XXXXXXX -$46% 1-Year High: $XXXXXXXXXXX on 2024-12-20 1-Year Low: $XXXXXXX on 2025-11-01 ### Market Dominance: XXXXXXXXXXXXXXXXXXXXXXX%  [Market Dominance 24-Hour Time-Series Raw Data](/topic/yesnoerror/time-series/market_dominance.tsv) Current Value: XXXXXXXXXXXXXXXXXXXXXXX% Daily Average: X% 1-Year High: XXXXXXX% on 2025-01-15 1-Year Low: XXXXXXX% on 2025-12-01 ### Market Cap: $XXXXXXXXX  [Market Cap 24-Hour Time-Series Raw Data](/topic/yesnoerror/time-series/market_cap.tsv) Current Value: $XXXXXXXXX Daily Average: $XXXXXXXXXX X Week: $XXXXXXXXX +$2.60% X Month: $XXXXXXXXX -$27% X Months: $XXXXXXXXX -$54% 1-Year High: $XXXXXXXXXX on 2025-01-15 1-Year Low: $XXXXXXXXX on 2025-12-01 ### Circulating Supply: XXXXXXXXXXX  [Circulating Supply 24-Hour Time-Series Raw Data](/topic/yesnoerror/time-series/circulating_supply.tsv) Current Value: XXXXXXXXXXX Daily Average: XXXXXXXXXXX 1-Year High: XXXXXXXXXXX on 2025-01-02 1-Year Low: XXXXXXXXXXX on 2025-08-14 ### Top Yesnoerror Social Posts Top posts by engagements in the last XX hours *Showing only X posts for non-authenticated requests. Use your API key in requests for full results.* "RoPE++ is a new twist on transformer position encoding: instead of discarding half the math it leverages both real and imaginary parts of rotary embeddings to better capture long-range dependencies. On benchmarks up to 64k tokens RoPE++ delivers up to +2 points over standard RoPE and its EH variant halves KV memory while matching baseline accuracyplus 1015% faster decoding. Imaginary heads turn out to matter most for very long context recall. Compatible with FlashAttention and all the latest context tricks. The code is out now. Get the full analysis here: // alpha identified // $YNE" [X Link](https://x.com/yesnoerror/status/1998498380272599199) [@yesnoerror](/creator/x/yesnoerror) 2025-12-09T21:01Z 26.8K followers, XXX engagements "GRAPE is a new framework that unifies how transformers "know" the position of each tokencombining the strengths of RoPE (rotations) and ALiBi/FoX (additive biases) into a single algebraic recipe. Why it matters: No more picking sides: both mechanisms now fit into one principled toolbox with closed-form efficient math. RoPE and ALiBi become special cases; new variants are easy to add and mix. Faster convergence and 1-1.5% higher accuracy than all baselines in 50B-token Llama pretraining and X downstream tasks. Path-integral extension enables content-dependent stable positional biases with" [X Link](https://x.com/yesnoerror/status/1998317188264952240) [@yesnoerror](/creator/x/yesnoerror) 2025-12-09T09:01Z 26.8K followers, XXX engagements "The AI Consumer Index (ACE) is here: the first benchmark to test if top AI models can actually handle real-world consumer tasksshopping meal planning gaming advice DIY fixes. How are they doing Not great: the best model (GPT-5) solves just XX% of cases. In Shopping none break XX% with price errors and broken links everywhere. Hallucinations remain stubborn: some models drop XX percentage points when forced to show real evidence. ACE evaluates XX frontier LLMs using a tough multi-step rubric and dynamic web-grounding checks. The results reveal a wide gap between current AI and what consumers" [X Link](https://x.com/yesnoerror/status/1998136037101511099) [@yesnoerror](/creator/x/yesnoerror) 2025-12-08T21:02Z 26.8K followers, XXX engagements "This new paper proposes a Unix for context for LLM agentsevery document tool API or memory becomes a mountable file in a governed file system. Instead of scattered prompts and ad-hoc memory agents get a persistent auditable context repository with versioning access control and full traceability. The AIGNE framework implements a 3-stage pipelineContext Constructor Updater Evaluatorto assemble stream and verify just the right knowledge within token limits. Demonstrated with a memory chatbot and a GitHub agent this architecture delivers maintainable industry-ready GenAI thats finally auditable" [X Link](https://x.com/yesnoerror/status/1997954941348937762) [@yesnoerror](/creator/x/yesnoerror) 2025-12-08T09:02Z 26.8K followers, XXX engagements
[GUEST ACCESS MODE: Data is scrambled or limited to provide examples. Make requests using your API key to unlock full data. Check https://lunarcrush.ai/auth for authentication information.]
Binance Alpha delists several tokens including YNE, while community anticipation for new features like the Base network bridge and ALPHA launch remains high. Concerns about monetization and whale selling pressure are impacting price.
Yesnoerror (YNE) is a cryptocurrency project focused on AI for information auditing.
Yesnoerror uses the ticker $YNE for trading. Listed in the Cryptocurrencies category within the AI Agents, Solana Ecosystem, Made In USA, Pump.Fun Ecosystem and Base Ecosystem sectors.
Yesnoerror available on solana address 7D1iYWfhw2cr9yBZBFE6nZaaSUvXHqG5FizFFEZwpump, base address 0xe2f9db0186b13668aec9fe0e15dbd13004ed8d6f.
Price 24-Hour Time-Series Raw Data
The current price decline is attributed to concerns about monetization and whale selling pressure, exacerbated by recent delistings from Binance Alpha. This outweighs positive developments like integration with Grok X AI and anticipation for new features.
1-Hour: XXXX% 24-Hour: XXX% 7-Day: XXXX% 30-Day: -XXXXX%
1-Year High: $XXXXX on 2025-01-15
1-Year Low: $XXXXXXX on 2025-12-01
AltRank 24-Hour Time-Series Raw Data
Yesnoerror (YNE) is currently AltRank #1,161 based on combined combined social and market metrics
Daily Average: XXXXX
X Week: XXXXX +441
X Month: XXXXX +625
X Months: XXXXX -XXX
1-Year High: XXXXX on 2025-07-23
1-Year Low: X on 2025-01-11
Galaxy Score 24-Hour Time-Series Raw Data
Current Value: XXXXX
Daily Average: XX
X Week: XX +2
X Month: XX -XX
X Months: XX +15
1-Year High: XX on 2024-12-20
1-Year Low: XX on 2025-10-23
Engagements 24-Hour Time-Series Raw Data
Current Value: XXXXX
Daily Average: XXXXXXX
X Week: XXXXXX +14%
X Month: XXXXXX -XX%
X Months: XXXXXXXXX -XX%
X Year: XXXXXXXXXX +7,829,390%
1-Year High: XXXXXXXXX on 2024-12-20
1-Year Low: XXX on 2025-11-30
Engagements by network (24h): X: XXXXX YouTube: XX
Mentions 24-Hour Time-Series Raw Data
Current Value: XX
Daily Average: XXX
X Week: XXX -XX%
X Month: XXX -XX%
X Months: XXXXXX -XX%
X Year: XXXXXX +761,983%
1-Year High: XXXXX on 2024-12-26
1-Year Low: XX on 2025-11-30
Mentions by network (24h): X: XXX YouTube: X
Creators 24-Hour Time-Series Raw Data
XX unique social accounts have posts mentioning Yesnoerror (YNE) in the last XX hours which is down XX% from XX in the previous XX hours
Daily Average: XXX
X Week: XX -XX%
X Month: XXX -XX%
X Months: XXXXX -XX%
X Year: XXXXX +246,400%
1-Year High: XXXXX on 2024-12-26
1-Year Low: XX on 2025-12-10
The most influential creators that mention Yesnoerror in the last XX hours
| Creator | Rank | Followers | Posts | Engagements |
|---|---|---|---|---|
| @yesnoerror | X | XXXXXX | XX | XXXXX |
| @1993Ellipsis | X | XX | X | XX |
| @sniperxfun | X | XXXXX | X | X |
Sentiment 24-Hour Time-Series Raw Data
Current Value: XX%
Daily Average: XX%
X Week: XX% +32%
X Month: XX% +8%
X Months: XX% +30%
X Year: XX% -X%
1-Year High: XX% on 2025-08-01
1-Year Low: XX% on 2025-06-22
Most Supportive Themes:
Most Critical Themes:
Social Dominance 24-Hour Time-Series Raw Data
Current Value: XXXX%
Daily Average: XXXXX%
X Week: XXXXX% +0.0043%
X Month: XXXXX% +0.0047%
X Months: XXXXX% -XXXXX%
X Year: XXXXX% +0.015%
1-Year High: XXXXX% on 2024-12-26
1-Year Low: XXXXXX% on 2025-11-30
Trading Volume 24-Hour Time-Series Raw Data
Current Value: $XXXXXXXXXX
Daily Average: $XXXXXXXXX
X Week: $XXXXXXX +$16%
X Month: $XXXXXXX -$9.90%
X Months: $XXXXXXX -$46%
1-Year High: $XXXXXXXXXXX on 2024-12-20
1-Year Low: $XXXXXXX on 2025-11-01
Market Dominance 24-Hour Time-Series Raw Data
Current Value: XXXXXXXXXXXXXXXXXXXXXXX%
Daily Average: X%
1-Year High: XXXXXXX% on 2025-01-15
1-Year Low: XXXXXXX% on 2025-12-01
Market Cap 24-Hour Time-Series Raw Data
Current Value: $XXXXXXXXX
Daily Average: $XXXXXXXXXX
X Week: $XXXXXXXXX +$2.60%
X Month: $XXXXXXXXX -$27%
X Months: $XXXXXXXXX -$54%
1-Year High: $XXXXXXXXXX on 2025-01-15
1-Year Low: $XXXXXXXXX on 2025-12-01
Circulating Supply 24-Hour Time-Series Raw Data
Current Value: XXXXXXXXXXX
Daily Average: XXXXXXXXXXX
1-Year High: XXXXXXXXXXX on 2025-01-02
1-Year Low: XXXXXXXXXXX on 2025-08-14
Top posts by engagements in the last XX hours
Showing only X posts for non-authenticated requests. Use your API key in requests for full results.
"RoPE++ is a new twist on transformer position encoding: instead of discarding half the math it leverages both real and imaginary parts of rotary embeddings to better capture long-range dependencies. On benchmarks up to 64k tokens RoPE++ delivers up to +2 points over standard RoPE and its EH variant halves KV memory while matching baseline accuracyplus 1015% faster decoding. Imaginary heads turn out to matter most for very long context recall. Compatible with FlashAttention and all the latest context tricks. The code is out now. Get the full analysis here: // alpha identified // $YNE"
X Link @yesnoerror 2025-12-09T21:01Z 26.8K followers, XXX engagements
"GRAPE is a new framework that unifies how transformers "know" the position of each tokencombining the strengths of RoPE (rotations) and ALiBi/FoX (additive biases) into a single algebraic recipe. Why it matters: No more picking sides: both mechanisms now fit into one principled toolbox with closed-form efficient math. RoPE and ALiBi become special cases; new variants are easy to add and mix. Faster convergence and 1-1.5% higher accuracy than all baselines in 50B-token Llama pretraining and X downstream tasks. Path-integral extension enables content-dependent stable positional biases with"
X Link @yesnoerror 2025-12-09T09:01Z 26.8K followers, XXX engagements
"The AI Consumer Index (ACE) is here: the first benchmark to test if top AI models can actually handle real-world consumer tasksshopping meal planning gaming advice DIY fixes. How are they doing Not great: the best model (GPT-5) solves just XX% of cases. In Shopping none break XX% with price errors and broken links everywhere. Hallucinations remain stubborn: some models drop XX percentage points when forced to show real evidence. ACE evaluates XX frontier LLMs using a tough multi-step rubric and dynamic web-grounding checks. The results reveal a wide gap between current AI and what consumers"
X Link @yesnoerror 2025-12-08T21:02Z 26.8K followers, XXX engagements
"This new paper proposes a Unix for context for LLM agentsevery document tool API or memory becomes a mountable file in a governed file system. Instead of scattered prompts and ad-hoc memory agents get a persistent auditable context repository with versioning access control and full traceability. The AIGNE framework implements a 3-stage pipelineContext Constructor Updater Evaluatorto assemble stream and verify just the right knowledge within token limits. Demonstrated with a memory chatbot and a GitHub agent this architecture delivers maintainable industry-ready GenAI thats finally auditable"
X Link @yesnoerror 2025-12-08T09:02Z 26.8K followers, XXX engagements
/topic/yesnoerror