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[LLM](/topic/llm)

### Sentiment: XX%
![Sentiment Line Chart](https://lunarcrush.com/gi/w:600/t:llm/c:line/m:sentiment/iv:1d.svg)  
[Sentiment 24-Hour Time-Series Raw Data](/topic/llm/time-series/sentiment.tsv)  
**Current Value**: XX%  
**Daily Average**: XX%  
**1 Week**: XX% +1%  
**1 Month**: XX% -XX%  
**6 Months**: XX% -XX%  
**1 Year**: XX% -XX%  
**1-Year High**: XX% on 2025-02-27  
**1-Year Low**: XX% on 2025-01-04  

**Most Supportive Themes**
- **AI Agents and DeFi Integration:** (25%) The integration of AI agents with DeFi platforms is seen as a promising development, with several posts highlighting the potential for automation and improved user experience.
- **Private and Precise LLMs:** (20%) The concept of private and precise LLMs, particularly those trained on personal data, is gaining traction, with discussions around Matthew McConaughey's interest in such a model.
- **Open Source AI and Community-Owned AGI:** (15%) There's strong support for open-source AI initiatives and community-owned AGI, with projects like SentientAGI receiving positive attention.
- **AI-Assisted Coding and Development:** (10%) The use of LLMs for coding and software development is widely praised, with discussions on how these tools are improving productivity and efficiency.
  
**Most Critical Themes**
- **LLM Limitations and Hallucinations:** (15%)  Concerns about the limitations of LLMs, including their tendency to hallucinate and lack of true understanding, are frequently raised.
- **Data Privacy and Security:** (10%)  Discussions about data privacy and security, particularly in the context of LLMs and chatbots, are present, with warnings about potential risks.
- **Over-Reliance and Hype:** (5%)  Some posts express skepticism about the over-reliance on LLMs and the hype surrounding the technology, questioning its long-term viability.
  
Network engagement breakdown:  
| Network | Positive | %  | Neutral | %  | Negative | %  |
| ------- | -------- | -  | ------- | -  | -------- | -  |
| News    | XX       | X% | XX      | X% |          |    |
| Reddit  | XXX      | X% | XXX     | X% | XXX      | X% |
| TikTok  | XXX      | X% | XXXXX   | X% | XXXXX    | X% |
| X       | XXXXX    | X% | XXXXXX  | X% | XXXXXX   | X% |
| YouTube | XXX      | X% | XXXXX   | X% | XXXXX    | X% |
|         |          |    |         |    |          |    |
| Total   | XXXXXX   | X% | XXXXXX  | X% | XXXXX    | X% |

[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.]

LLM

Sentiment: XX%

Sentiment Line Chart
Sentiment 24-Hour Time-Series Raw Data
Current Value: XX%
Daily Average: XX%
1 Week: XX% +1%
1 Month: XX% -XX%
6 Months: XX% -XX%
1 Year: XX% -XX%
1-Year High: XX% on 2025-02-27
1-Year Low: XX% on 2025-01-04

Most Supportive Themes

  • AI Agents and DeFi Integration: (25%) The integration of AI agents with DeFi platforms is seen as a promising development, with several posts highlighting the potential for automation and improved user experience.
  • Private and Precise LLMs: (20%) The concept of private and precise LLMs, particularly those trained on personal data, is gaining traction, with discussions around Matthew McConaughey's interest in such a model.
  • Open Source AI and Community-Owned AGI: (15%) There's strong support for open-source AI initiatives and community-owned AGI, with projects like SentientAGI receiving positive attention.
  • AI-Assisted Coding and Development: (10%) The use of LLMs for coding and software development is widely praised, with discussions on how these tools are improving productivity and efficiency.

Most Critical Themes

  • LLM Limitations and Hallucinations: (15%) Concerns about the limitations of LLMs, including their tendency to hallucinate and lack of true understanding, are frequently raised.
  • Data Privacy and Security: (10%) Discussions about data privacy and security, particularly in the context of LLMs and chatbots, are present, with warnings about potential risks.
  • Over-Reliance and Hype: (5%) Some posts express skepticism about the over-reliance on LLMs and the hype surrounding the technology, questioning its long-term viability.

Network engagement breakdown:

Network Positive % Neutral % Negative %
News XX X% XX X%
Reddit XXX X% XXX X% XXX X%
TikTok XXX X% XXXXX X% XXXXX X%
X XXXXX X% XXXXXX X% XXXXXX X%
YouTube XXX X% XXXXX X% XXXXX X%
Total XXXXXX X% XXXXXX X% XXXXX X%
LLM Sentiment
/topic/llm/sentiment