[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.] #  LLMs Stanford researchers find that rude prompts can boost LLM accuracy. A new study shows that LLMs are inheriting unsavory traits from the internet. ### About LLMs LLMs (Large Language Models) are advanced AI systems designed to understand and generate human-like text. ### Insights [#](/topic/llms/insights) - llms engagements is up XXXXX% from the previous week. - llms posts created is up XXXXXX% from the previous week. ### Engagements: XXXXXXXXX [#](/topic/llms/interactions) ---  [Engagements 24-Hour Time-Series Raw Data](/topic/llms/time-series/interactions.tsv) **Current Value**: XXXXXXXXX **Daily Average**: XXXXXXXXX **1 Week**: XXXXXXXXX +97% **1 Month**: XXXXXXXXXX -XX% **6 Months**: XXXXXXXXXXX -XX% **1 Year**: XXXXXXXXXXXXX +55% **1-Year High**: XXXXXXXXXX on 2025-02-24 **1-Year Low**: XXXXX on 2025-09-11 | Social Network | TikTok | X | Reddit | YouTube | News | | -------------- | ------ | - | ------ | ------- | ---- | | Engagements | XXXXXX | XXXXXXXXX | XXXXX | XXXXXXX | XXX | ### Mentions: XXXXX [#](/topic/llms/posts_active) ---  [Mentions 24-Hour Time-Series Raw Data](/topic/llms/time-series/posts_active.tsv) **Current Value**: XXXXX **Daily Average**: XXXXX **1 Week**: XXXXX -XX% **1 Month**: XXXXX -XX% **6 Months**: XXXXXXX +45% **1 Year**: XXXXXXX +104% **1-Year High**: XXXXX on 2025-08-10 **1-Year Low**: XX on 2025-09-11 | Social Network | TikTok | X | Reddit | YouTube | News | | -------------- | ------ | - | ------ | ------- | ---- | | Mentions | XXX | XXXXX | XXX | XXXXX | XX | ### Creators: XXXXX [#](/topic/llms/contributors_active) ---  [Creators 24-Hour Time-Series Raw Data](/topic/llms/time-series/contributors_active.tsv) XXXXX unique social accounts have posts mentioning LLMs in the last XX hours which is down XXXX% from XXXXX in the previous XX hours **Daily Average**: XXXXX **1 Week**: XXXXX -XX% **1 Month**: XXXXX -XX% **6 Months**: XXXXXX +44% **1 Year**: XXXXXX +105% **1-Year High**: XXXXX on 2025-08-10 **1-Year Low**: XX on 2025-09-11 The most influential creators that mention LLMs in the last XX hours | Creator | Rank | Followers | Posts | Engagements | | ------- | ---- | --------- | ----- | ----------- | | [@_opencv_](/creator/twitter/_opencv_) | X | XXXXXX | X | XXXXXXX | | [@dwarkesh_sp](/creator/twitter/dwarkesh_sp) | X | XXXXXXX | X | XXXXXX | | [@thekitze](/creator/twitter/thekitze) | X | XXXXXX | X | XXXXXX | | [@jay_azhang](/creator/twitter/jay_azhang) | X | XXXXXX | X | XXXXXX | | [@andrejkarpathy](/creator/youtube/andrejkarpathy) | X | XXXXXXXXX | X | XXXXXX | | [@3blue1brown](/creator/youtube/3blue1brown) | X | XXXXXXXXX | X | XXXXX | | [@BharukaShraddha](/creator/twitter/BharukaShraddha) | X | XXXXXX | X | XXXXX | | [@e_opore](/creator/twitter/e_opore) | X | XXXXXX | X | XXXXX | | [@arctotherium42](/creator/twitter/arctotherium42) | X | XXXXXX | X | XXXXX | | [@dair_ai](/creator/twitter/dair_ai) | XX | XXXXXX | X | XXXXX | [View More](/list/creators/llms/100) ### Sentiment: XX% [#](/topic/llms/sentiment) ---  [Sentiment 24-Hour Time-Series Raw Data](/topic/llms/time-series/sentiment.tsv) **Current Value**: XX% **Daily Average**: XX% **1 Week**: XX% -X% **1 Month**: XX% -X% **6 Months**: XX% -X% **1 Year**: XX% -X% **1-Year High**: XX% on 2024-11-02 **1-Year Low**: XX% on 2025-10-04 **Most Supportive Themes** - **AI Advancements:** (45%) Positive sentiment around the rapid advancements and potential of LLMs. - **New Applications:** (20%) Excitement for new use cases and applications of LLMs across various industries. **Most Critical Themes** - **Ethical Concerns:** (15%) Discussion and concerns regarding the ethical implications and potential misuse of LLMs. - **Computational Costs:** (10%) Criticism regarding the high computational costs and energy consumption of LLMs. Network engagement breakdown: | Network | Positive | % | Neutral | % | Negative | % | | ------- | -------- | - | ------- | - | -------- | - | | TikTok | XXXXXX | X% | XXXXX | X% | XXXXX | X% | | X | XXXXXXXXX | XX% | XXXXXXX | XX% | XXXXXXX | X% | | Reddit | XXXXX | X% | XXXXX | X% | XXX | X% | | YouTube | XXXXXXX | X% | XXXXXXX | X% | XXXXXX | X% | | News | XXX | X% | XX | X% | XX | X% | | | | | | | | | | Total | XXXXXXXXX | XX% | XXXXXXXXX | XX% | XXXXXXX | X% | **Top assets mentioned** In the posts about LLMs in the last XX hours [Alphabet Inc Class A (GOOGL)](/topic/$googl) [NVIDIA Corp. (NVDA)](/topic/$nvda) [Artificial Intelligence (AI4)](/topic/$ai4) [IBM (IBM)](/topic/ibm) [Microsoft Corp. (MSFT)](/topic/microsoft) [Advanced Micro Devices (AMD)](/topic/advanced-micro-devices) [Bitcoin (BTC)](/topic/bitcoin) [Quantum Computing Inc. Common (QUBT)](/topic/$qubt) [Innovative Solutions & Support (ISSC)](/topic/$issc) [Ethereum (ETH)](/topic/ethereum) **Top topics mentioned** In the posts about LLMs in the last XX hours [open ai](/topic/open-ai), [#ai](/topic/#ai), [stocks technology](/topic/stocks-technology), [stocks communication services](/topic/stocks-communication-services), [$googl](/topic/$googl), [6969](/topic/6969), [llm](/topic/llm), [humans](/topic/humans), [$nvda](/topic/$nvda), [applications](/topic/applications), [future of](/topic/future-of), [karpathy](/topic/karpathy), [faster](/topic/faster), [artificial](/topic/artificial), [agentic](/topic/agentic), [$ai4](/topic/$ai4), [python](/topic/python), [gpu](/topic/gpu), [real world](/topic/real-world), [accuracy](/topic/accuracy), [instead of](/topic/instead-of), [claude](/topic/claude), [decentralized](/topic/decentralized), [stack](/topic/stack), [elon musk](/topic/elon-musk), [has been](/topic/has-been), [meta](/topic/meta), [investment](/topic/investment), [money](/topic/money), [inference](/topic/inference), [coins layer 1](/topic/coins-layer-1), [protocol](/topic/protocol), [all the](/topic/all-the), [capabilities](/topic/capabilities), [demo](/topic/demo), [build a](/topic/build-a), [unlock](/topic/unlock), [intro](/topic/intro), [generated](/topic/generated), [automation](/topic/automation), [real time](/topic/real-time), [scratch](/topic/scratch), [sentientagi](/topic/sentientagi), [youtube](/topic/youtube), [over the](/topic/over-the), [ibm](/topic/ibm), [blog](/topic/blog), [microsoft](/topic/microsoft), [infrastructure](/topic/infrastructure), [neural](/topic/neural), [stocks](/topic/stocks), [topics](/topic/topics), [blockchain](/topic/blockchain), [javascript](/topic/javascript), [age of](/topic/age-of), [interact](/topic/interact), [prediction](/topic/prediction), [llama](/topic/llama), [anthropic](/topic/anthropic), [token](/topic/token), [coins ai](/topic/coins-ai), [coins made in usa](/topic/coins-made-in-usa), [amazon web services](/topic/amazon-web-services), [advanced micro devices](/topic/advanced-micro-devices), [built on](/topic/built-on), [integration](/topic/integration), [coins solana ecosystem](/topic/coins-solana-ecosystem), [andreessen horowitz](/topic/andreessen-horowitz), [china](/topic/china), [tools for](/topic/tools-for), [number of](/topic/number-of), [hardware](/topic/hardware), [signals](/topic/signals), [web3](/topic/web3), [coins bitcoin ecosystem](/topic/coins-bitcoin-ecosystem), [the only](/topic/the-only), [oracle](/topic/oracle), [state of](/topic/state-of), [hybrid](/topic/hybrid), [genai](/topic/genai), [andrej](/topic/andrej), [behind the](/topic/behind-the), [make a](/topic/make-a), [agi](/topic/agi), [up the](/topic/up-the), [bitcoin](/topic/bitcoin), [create a](/topic/create-a), [realtime](/topic/realtime), [stocks consumer cyclical](/topic/stocks-consumer-cyclical), [united states](/topic/united-states), [coins base ecosystem](/topic/coins-base-ecosystem), [ollama](/topic/ollama), [samsung](/topic/samsung), [networks](/topic/networks), [$qubt](/topic/$qubt), [builders](/topic/builders), [adoption](/topic/adoption), [coins pow](/topic/coins-pow), [coins defi](/topic/coins-defi), [artificialintelligence](/topic/artificialintelligence) ### Top News [#](/topic/llms/news) --- Top news links shared on social in the last XX hours *Showing a maximum of X news posts for non-authenticated requests. Use your API key in requests for full results.* "When helpfulness backfires: LLMs and the risk of false medical information due to sycophantic behavior npj Digital Medicine" [News Link](https://www.nature.com/articles/s41746-025-02008-z) [@Nature](/creator/x/Nature) 2025-10-18T14:16Z 208.1M followers, 1196 engagements "As AI Use Soars Companies Shift From SEO To GEO" [News Link](https://www.forbes.com/sites/johnwerner/2025/05/04/as-ai-use-soars-companies-shift-from-seo-to-geo/) [@Forbes](/creator/x/Forbes) 2025-10-18T09:52Z 208.1M followers, XX engagements ""India Working On X nm Chip": Ashwini Vaishnaw Shows 'Wafer' At NDTV Summit" [News Link](https://www.ndtv.com/world-news/india-working-on-2-nm-chip-ashwini-vaishnaw-shows-wafer-at-ndtv-world-summit-9477738) [@ndtv](/creator/x/ndtv) 2025-10-18T07:15Z 18M followers, 5558 engagements ### Top Social Posts [#](/topic/llms/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.* "What DeepSeek did to AI software Alibaba Cloud is doing to AI hardware. By enabling a GPU to serve multiple LLMs at the same time Alibaba is able to cut the number of (Nvidia) GPUs by whopping 82%. Its like Japanese cars v. American gas-guzzlers in the 1970s. Aegaeon is the name of this system. It has been in operation for three months and was presented at the Symposium on Operating Systems Principles (SOSP) in Seoul South Korea" [X Link](https://x.com/Kanthan2030/status/1980065807448322173) [@Kanthan2030](/creator/x/Kanthan2030) 2025-10-20T00:17Z 176.7K followers, 36K engagements "The argument that all the AI Capex is only creating the revenue of OpenAI (and LLMs) is such a silly bear argument and just more bubble nonsense FUD. $META $GOOGL $TSLA $AMZN $MSFT have been building and using AI for years to optimize products and services. To deliver autonomous vehicles on roads and robots in warehouses. The new AI Capex can do all of these things exponentially faster and more efficiently than its predecessor in compute. We are building the future of accelerated computing that will bring AI into every field and every industry. It will augment every worker from the factory" [X Link](https://x.com/danielnewmanUV/status/1980065025281704317) [@danielnewmanUV](/creator/x/danielnewmanUV) 2025-10-20T00:14Z 69.7K followers, 21.8K engagements "Eliminate budget surprises from your AI initiatives. Ivo Bernardo shares how to provide full visibility on costs especially with variable expenses from cloud infrastructure and LLMs" [X Link](https://x.com/TDataScience/status/1980056873286906126) [@TDataScience](/creator/x/TDataScience) 2025-10-19T23:42Z 245.5K followers, 1758 engagements "Jensen said about $X trillion-4 trillion AI infra spending by decade-end this is extremely bullish. NVDA recently added this slide to its presentation" [X Link](https://x.com/The_AI_Investor/status/1980048469130875341) [@The_AI_Investor](/creator/x/The_AI_Investor) 2025-10-19T23:08Z 65.9K followers, 52.2K 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.]
LLMs
Stanford researchers find that rude prompts can boost LLM accuracy. A new study shows that LLMs are inheriting unsavory traits from the internet.
About LLMs
LLMs (Large Language Models) are advanced AI systems designed to understand and generate human-like text.
Insights #
- llms engagements is up XXXXX% from the previous week.
- llms posts created is up XXXXXX% from the previous week.
Engagements: XXXXXXXXX #
Engagements 24-Hour Time-Series Raw Data
Current Value: XXXXXXXXX
Daily Average: XXXXXXXXX
1 Week: XXXXXXXXX +97%
1 Month: XXXXXXXXXX -XX%
6 Months: XXXXXXXXXXX -XX%
1 Year: XXXXXXXXXXXXX +55%
1-Year High: XXXXXXXXXX on 2025-02-24
1-Year Low: XXXXX on 2025-09-11
| Social Network | TikTok | X | YouTube | News | |
|---|---|---|---|---|---|
| Engagements | XXXXXX | XXXXXXXXX | XXXXX | XXXXXXX | XXX |
Mentions: XXXXX #
Mentions 24-Hour Time-Series Raw Data
Current Value: XXXXX
Daily Average: XXXXX
1 Week: XXXXX -XX%
1 Month: XXXXX -XX%
6 Months: XXXXXXX +45%
1 Year: XXXXXXX +104%
1-Year High: XXXXX on 2025-08-10
1-Year Low: XX on 2025-09-11
| Social Network | TikTok | X | YouTube | News | |
|---|---|---|---|---|---|
| Mentions | XXX | XXXXX | XXX | XXXXX | XX |
Creators: XXXXX #
Creators 24-Hour Time-Series Raw Data
XXXXX unique social accounts have posts mentioning LLMs in the last XX hours which is down XXXX% from XXXXX in the previous XX hours
Daily Average: XXXXX
1 Week: XXXXX -XX%
1 Month: XXXXX -XX%
6 Months: XXXXXX +44%
1 Year: XXXXXX +105%
1-Year High: XXXXX on 2025-08-10
1-Year Low: XX on 2025-09-11
The most influential creators that mention LLMs in the last XX hours
| Creator | Rank | Followers | Posts | Engagements |
|---|---|---|---|---|
| @opencv | X | XXXXXX | X | XXXXXXX |
| @dwarkesh_sp | X | XXXXXXX | X | XXXXXX |
| @thekitze | X | XXXXXX | X | XXXXXX |
| @jay_azhang | X | XXXXXX | X | XXXXXX |
| @andrejkarpathy | X | XXXXXXXXX | X | XXXXXX |
| @3blue1brown | X | XXXXXXXXX | X | XXXXX |
| @BharukaShraddha | X | XXXXXX | X | XXXXX |
| @e_opore | X | XXXXXX | X | XXXXX |
| @arctotherium42 | X | XXXXXX | X | XXXXX |
| @dair_ai | XX | XXXXXX | X | XXXXX |
Sentiment: XX% #
Sentiment 24-Hour Time-Series Raw Data
Current Value: XX%
Daily Average: XX%
1 Week: XX% -X%
1 Month: XX% -X%
6 Months: XX% -X%
1 Year: XX% -X%
1-Year High: XX% on 2024-11-02
1-Year Low: XX% on 2025-10-04
Most Supportive Themes
- AI Advancements: (45%) Positive sentiment around the rapid advancements and potential of LLMs.
- New Applications: (20%) Excitement for new use cases and applications of LLMs across various industries.
Most Critical Themes
- Ethical Concerns: (15%) Discussion and concerns regarding the ethical implications and potential misuse of LLMs.
- Computational Costs: (10%) Criticism regarding the high computational costs and energy consumption of LLMs.
Network engagement breakdown:
| Network | Positive | % | Neutral | % | Negative | % |
|---|---|---|---|---|---|---|
| TikTok | XXXXXX | X% | XXXXX | X% | XXXXX | X% |
| X | XXXXXXXXX | XX% | XXXXXXX | XX% | XXXXXXX | X% |
| XXXXX | X% | XXXXX | X% | XXX | X% | |
| YouTube | XXXXXXX | X% | XXXXXXX | X% | XXXXXX | X% |
| News | XXX | X% | XX | X% | XX | X% |
| Total | XXXXXXXXX | XX% | XXXXXXXXX | XX% | XXXXXXX | X% |
Top assets mentioned In the posts about LLMs in the last XX hours
Alphabet Inc Class A (GOOGL) NVIDIA Corp. (NVDA) Artificial Intelligence (AI4) IBM (IBM) Microsoft Corp. (MSFT) Advanced Micro Devices (AMD) Bitcoin (BTC) Quantum Computing Inc. Common (QUBT) Innovative Solutions & Support (ISSC) Ethereum (ETH)
Top topics mentioned In the posts about LLMs in the last XX hours
open ai, #ai, stocks technology, stocks communication services, $googl, 6969, llm, humans, $nvda, applications, future of, karpathy, faster, artificial, agentic, $ai4, python, gpu, real world, accuracy, instead of, claude, decentralized, stack, elon musk, has been, meta, investment, money, inference, coins layer 1, protocol, all the, capabilities, demo, build a, unlock, intro, generated, automation, real time, scratch, sentientagi, youtube, over the, ibm, blog, microsoft, infrastructure, neural, stocks, topics, blockchain, javascript, age of, interact, prediction, llama, anthropic, token, coins ai, coins made in usa, amazon web services, advanced micro devices, built on, integration, coins solana ecosystem, andreessen horowitz, china, tools for, number of, hardware, signals, web3, coins bitcoin ecosystem, the only, oracle, state of, hybrid, genai, andrej, behind the, make a, agi, up the, bitcoin, create a, realtime, stocks consumer cyclical, united states, coins base ecosystem, ollama, samsung, networks, $qubt, builders, adoption, coins pow, coins defi, artificialintelligence
Top News #
Top news links shared on social in the last XX hours
Showing a maximum of X news posts for non-authenticated requests. Use your API key in requests for full results.
"When helpfulness backfires: LLMs and the risk of false medical information due to sycophantic behavior npj Digital Medicine"
News Link @Nature 2025-10-18T14:16Z 208.1M followers, 1196 engagements
"As AI Use Soars Companies Shift From SEO To GEO"
News Link @Forbes 2025-10-18T09:52Z 208.1M followers, XX engagements
""India Working On X nm Chip": Ashwini Vaishnaw Shows 'Wafer' At NDTV Summit"
News Link @ndtv 2025-10-18T07:15Z 18M followers, 5558 engagements
Top 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.
"What DeepSeek did to AI software Alibaba Cloud is doing to AI hardware. By enabling a GPU to serve multiple LLMs at the same time Alibaba is able to cut the number of (Nvidia) GPUs by whopping 82%. Its like Japanese cars v. American gas-guzzlers in the 1970s. Aegaeon is the name of this system. It has been in operation for three months and was presented at the Symposium on Operating Systems Principles (SOSP) in Seoul South Korea"
X Link @Kanthan2030 2025-10-20T00:17Z 176.7K followers, 36K engagements
"The argument that all the AI Capex is only creating the revenue of OpenAI (and LLMs) is such a silly bear argument and just more bubble nonsense FUD. $META $GOOGL $TSLA $AMZN $MSFT have been building and using AI for years to optimize products and services. To deliver autonomous vehicles on roads and robots in warehouses. The new AI Capex can do all of these things exponentially faster and more efficiently than its predecessor in compute. We are building the future of accelerated computing that will bring AI into every field and every industry. It will augment every worker from the factory"
X Link @danielnewmanUV 2025-10-20T00:14Z 69.7K followers, 21.8K engagements
"Eliminate budget surprises from your AI initiatives. Ivo Bernardo shares how to provide full visibility on costs especially with variable expenses from cloud infrastructure and LLMs"
X Link @TDataScience 2025-10-19T23:42Z 245.5K followers, 1758 engagements
"Jensen said about $X trillion-4 trillion AI infra spending by decade-end this is extremely bullish. NVDA recently added this slide to its presentation"
X Link @The_AI_Investor 2025-10-19T23:08Z 65.9K followers, 52.2K engagements