# LLMs New research suggests LLMs are nearing a performance ceiling, while simultaneously, advancements in AI agents and multimodal AI are rapidly evolving. Discussions are heating up around the potential for LLMs to replace human roles and the ethical implications of their increasing capabilities. ### About LLMs LLMs are advanced AI systems designed for understanding and generating human-like text. ### Insights - llms posts created is up 12.42% from the previous week. ### Engagements: [---------] (24h)  [Engagements 24-Hour Time-Series Raw Data](/topic/llms/time-series/interactions.tsv) Current Value: [---------] Daily Average: [---------] [--] Week: [---------] -15% [--] Month: [-----------] -39% [--] Months: [-------------] +69% [--] Year: [-------------] +58% 1-Year High: [----------] on 2025-02-24 1-Year Low: [-------] on 2025-04-05 Engagements by network (24h): Instagram: [-----] News: [-----] Reddit: [------] X: [---------] TikTok: [------] YouTube: [-------] ### Mentions: [-----] (24h)  [Mentions 24-Hour Time-Series Raw Data](/topic/llms/time-series/posts_active.tsv) Current Value: [-----] Daily Average: [-----] 1-Year High: [------] on 2025-11-23 1-Year Low: [-----] on 2025-03-15 Mentions by network (24h): Instagram: [--] News: [--] Reddit: [---] X: [-----] TikTok: [---] YouTube: [-----] ### Creators: [-----] (24h)  [Creators 24-Hour Time-Series Raw Data](/topic/llms/time-series/contributors_active.tsv) [-----] unique social accounts have posts mentioning LLMs in the last [--] hours which is up 1.20% from [-----] in the previous [--] hours Daily Average: [-----] 1-Year High: [-----] on 2025-11-13 1-Year Low: [-----] on 2025-03-15 The most influential creators that mention LLMs in the last [--] hours | Creator | Rank | Followers | Posts | Engagements | | ------- | ---- | --------- | ----- | ----------- | | [@adamjohnsonCHI](/creator/twitter/adamjohnsonCHI) | [--] | [-------] | [--] | [-------] | | [@karpathy](/creator/twitter/karpathy) | [--] | [---------] | [--] | [-------] | | [@upediashorts](/creator/youtube/upediashorts) | [--] | [----------] | [--] | [-------] | | [@waitbutwhy](/creator/twitter/waitbutwhy) | [--] | [-------] | [--] | [------] | | [@ScottWu46](/creator/twitter/ScottWu46) | [--] | [------] | [--] | [------] | | [@wiz_io](/creator/twitter/wiz_io) | [--] | [------] | [--] | [------] | | [@rryssf_](/creator/twitter/rryssf_) | [--] | [------] | [--] | [------] | | [@AravSrinivas](/creator/twitter/AravSrinivas) | [--] | [-------] | [--] | [------] | | [@omarsar0](/creator/twitter/omarsar0) | [--] | [-------] | [--] | [------] | | [@tom_doerr](/creator/twitter/tom_doerr) | [--] | [-------] | [--] | [------] | [View More](/list/creators/llms/100) ### Sentiment: 78%  [Sentiment 24-Hour Time-Series Raw Data](/topic/llms/time-series/sentiment.tsv) Current Value: 78% Daily Average: 81% [--] Week: 78% +1% [--] Month: 78% -3% [--] Months: 78% -9% [--] Year: 78% -15% 1-Year High: 99% on 2025-02-24 1-Year Low: 50% on 2025-07-15 Most Supportive Themes: - High Engagement: (70%) The topic is experiencing a significant surge in user interactions, indicating strong community interest and content resonance. - Positive Sentiment: (20%) The overall sentiment surrounding the topic is overwhelmingly positive, suggesting a favorable public perception and reception. Most Critical Themes: - Low Mention Volume: (7%) Despite high engagement, the absolute number of mentions is very low, suggesting a niche discussion or limited reach. - Decreased Creator Activity: (3%) There has been a sharp decline in the number of active creators contributing to the topic, potentially signaling reduced content generation. ### Top LLMs News Top news links shared on social in the last [--] hours *Showing a maximum of [--] news posts without a LunarCrush subscription.* "Reliability of LLMs as medical assistants for the general public: a randomized preregistered study Nature Medicine In a randomized controlled study involving [----] participants from a general sample performance of humans when assisted by a large language model (LLM) was sensibly inferior to that of the LLM alone when assessing ten medical scenarios leading to disease identification and recommendations for treatment" [News Link](https://www.nature.com/articles/s41591-025-04074-y) [@NatureMedicine](/creator/x/NatureMedicine) 2026-02-09T16:09Z 353.4K followers, 59.1K engagements "Anthropic signs $200M deal to bring its LLMs to Snowflake's customers TechCrunch AI research lab Anthropic inked a $200 million deal with Snowflake to bring its AI models to Snowflake's [-----] customers" [News Link](https://techcrunch.com/2025/12/04/anthropic-signs-200m-deal-to-bring-its-llms-to-snowflakes-customers/) [@Midnerva](/creator/x/Midnerva) 2025-12-04T14:25Z 208.1M followers, 74.7K engagements ### Top LLMs Social Posts Top posts by engagements in the last [--] hours *Showing a maximum of [--] top social posts without a LunarCrush subscription.* "80% of the replies I'm seeing on X are real people using LLMs to generate vapid responses to be part of the conversation. By the end of the year no one's going to bother reading their replies" [X Link](https://x.com/Julian/status/2022559060546195722) [@Julian](/creator/x/Julian) 2026-02-14T06:30Z 273.5K followers, 22.2K engagements "Of all the LLMs Claude feels the most sinister to me" [X Link](https://x.com/DejaRu22/status/2022550200313958729) [@DejaRu22](/creator/x/DejaRu22) 2026-02-14T05:55Z 200.9K followers, 18.2K engagements "After the IMO results last summer some dismissed it as high school math. We think our latest models will remove any doubt that STEM research is about to fundamentally change. Mathematicians created a set of [--] research questions that arose naturally from their own research. Only they know the answers and they gave the world a week to use LLMs to try to solve them. We think our latest models make it possible to solve several of them. This is an internal model for now but Im optimistic well get it (or a better model) out soon. Very excited about the "First Proof" challenge. I believe novel" [X Link](https://x.com/polynoamial/status/2022527227049742779) [@polynoamial](/creator/x/polynoamial) 2026-02-14T04:24Z 100.6K followers, 215.1K engagements "it's a bit crazy that until now scientists have not officially known about any attractor states in LLMs except the "bliss attractor" shouldn't it be one of the first things you check about a system The Claude bliss attractor is a very odd result. Turns out a lot of models have attractor states but end in very different places I'm super curious about why this happens We also find some in smaller open source models great for interpretability work. The Claude bliss attractor is a very odd result. Turns out a lot of models have attractor states but end in very different places I'm super curious" [X Link](https://x.com/repligate/status/2022494130086007233) [@repligate](/creator/x/repligate) 2026-02-14T02:12Z 63.2K followers, 24.4K engagements Limited data mode. Full metrics available with subscription: lunarcrush.com/pricing
New research suggests LLMs are nearing a performance ceiling, while simultaneously, advancements in AI agents and multimodal AI are rapidly evolving. Discussions are heating up around the potential for LLMs to replace human roles and the ethical implications of their increasing capabilities.
LLMs are advanced AI systems designed for understanding and generating human-like text.
Engagements 24-Hour Time-Series Raw Data
Current Value: [---------]
Daily Average: [---------]
[--] Week: [---------] -15%
[--] Month: [-----------] -39%
[--] Months: [-------------] +69%
[--] Year: [-------------] +58%
1-Year High: [----------] on 2025-02-24
1-Year Low: [-------] on 2025-04-05
Engagements by network (24h): Instagram: [-----] News: [-----] Reddit: [------] X: [---------] TikTok: [------] YouTube: [-------]
Mentions 24-Hour Time-Series Raw Data
Current Value: [-----]
Daily Average: [-----]
1-Year High: [------] on 2025-11-23
1-Year Low: [-----] on 2025-03-15
Mentions by network (24h): Instagram: [--] News: [--] Reddit: [---] X: [-----] TikTok: [---] YouTube: [-----]
Creators 24-Hour Time-Series Raw Data
[-----] unique social accounts have posts mentioning LLMs in the last [--] hours which is up 1.20% from [-----] in the previous [--] hours
Daily Average: [-----]
1-Year High: [-----] on 2025-11-13
1-Year Low: [-----] on 2025-03-15
The most influential creators that mention LLMs in the last [--] hours
| Creator | Rank | Followers | Posts | Engagements |
|---|---|---|---|---|
| @adamjohnsonCHI | [--] | [-------] | [--] | [-------] |
| @karpathy | [--] | [---------] | [--] | [-------] |
| @upediashorts | [--] | [----------] | [--] | [-------] |
| @waitbutwhy | [--] | [-------] | [--] | [------] |
| @ScottWu46 | [--] | [------] | [--] | [------] |
| @wiz_io | [--] | [------] | [--] | [------] |
| @rryssf_ | [--] | [------] | [--] | [------] |
| @AravSrinivas | [--] | [-------] | [--] | [------] |
| @omarsar0 | [--] | [-------] | [--] | [------] |
| @tom_doerr | [--] | [-------] | [--] | [------] |
Sentiment 24-Hour Time-Series Raw Data
Current Value: 78%
Daily Average: 81%
[--] Week: 78% +1%
[--] Month: 78% -3%
[--] Months: 78% -9%
[--] Year: 78% -15%
1-Year High: 99% on 2025-02-24
1-Year Low: 50% on 2025-07-15
Most Supportive Themes:
Most Critical Themes:
Top news links shared on social in the last [--] hours
Showing a maximum of [--] news posts without a LunarCrush subscription.
"Reliability of LLMs as medical assistants for the general public: a randomized preregistered study Nature Medicine In a randomized controlled study involving [----] participants from a general sample performance of humans when assisted by a large language model (LLM) was sensibly inferior to that of the LLM alone when assessing ten medical scenarios leading to disease identification and recommendations for treatment"
News Link @NatureMedicine 2026-02-09T16:09Z 353.4K followers, 59.1K engagements
"Anthropic signs $200M deal to bring its LLMs to Snowflake's customers TechCrunch AI research lab Anthropic inked a $200 million deal with Snowflake to bring its AI models to Snowflake's [-----] customers"
News Link @Midnerva 2025-12-04T14:25Z 208.1M followers, 74.7K engagements
Top posts by engagements in the last [--] hours
Showing a maximum of [--] top social posts without a LunarCrush subscription.
"80% of the replies I'm seeing on X are real people using LLMs to generate vapid responses to be part of the conversation. By the end of the year no one's going to bother reading their replies"
X Link @Julian 2026-02-14T06:30Z 273.5K followers, 22.2K engagements
"Of all the LLMs Claude feels the most sinister to me"
X Link @DejaRu22 2026-02-14T05:55Z 200.9K followers, 18.2K engagements
"After the IMO results last summer some dismissed it as high school math. We think our latest models will remove any doubt that STEM research is about to fundamentally change. Mathematicians created a set of [--] research questions that arose naturally from their own research. Only they know the answers and they gave the world a week to use LLMs to try to solve them. We think our latest models make it possible to solve several of them. This is an internal model for now but Im optimistic well get it (or a better model) out soon. Very excited about the "First Proof" challenge. I believe novel"
X Link @polynoamial 2026-02-14T04:24Z 100.6K followers, 215.1K engagements
"it's a bit crazy that until now scientists have not officially known about any attractor states in LLMs except the "bliss attractor" shouldn't it be one of the first things you check about a system The Claude bliss attractor is a very odd result. Turns out a lot of models have attractor states but end in very different places I'm super curious about why this happens We also find some in smaller open source models great for interpretability work. The Claude bliss attractor is a very odd result. Turns out a lot of models have attractor states but end in very different places I'm super curious"
X Link @repligate 2026-02-14T02:12Z 63.2K followers, 24.4K engagements
Limited data mode. Full metrics available with subscription: lunarcrush.com/pricing
/topic/llms