[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.] #  @jm_alexia Alexia Jolicoeur-Martineau Alexia Jolicoeur-Martineau posts on X about neural, blog, the big, number of the most. They currently have XXXXXX followers and XX posts still getting attention that total XXX engagements in the last XX hours. ### Engagements: XXX [#](/creator/twitter::839820726777544705/interactions)  - X Week XXXXXX +183% - X Month XXXXXXX +428% - X Months XXXXXXX +439% - X Year XXXXXXXXX -XX% ### Mentions: X [#](/creator/twitter::839820726777544705/posts_active)  - X Week X no change - X Month XX +220% - X Months XX +56% - X Year XX +96% ### Followers: XXXXXX [#](/creator/twitter::839820726777544705/followers)  - X Week XXXXXX +1.80% - X Month XXXXXX +42% - X Months XXXXXX +67% - X Year XXXXXX +72% ### CreatorRank: XXXXXXXXX [#](/creator/twitter::839820726777544705/influencer_rank)  ### Social Influence [#](/creator/twitter::839820726777544705/influence) --- **Social topic influence** [neural](/topic/neural), [blog](/topic/blog), [the big](/topic/the-big), [number of](/topic/number-of), [instead of](/topic/instead-of) ### Top Social Posts [#](/creator/twitter::839820726777544705/posts) --- Top posts by engagements in the last XX hours "New paper 📜: Tiny Recursion Model (TRM) is a recursive reasoning approach with a tiny 7M parameters neural network that obtains XX% on ARC-AGI-1 and X% on ARC-AGI-2 beating most LLMs. Blog: Code: Paper:" [X Link](https://x.com/jm_alexia/status/1975560628657164426) [@jm_alexia](/creator/x/jm_alexia) 2025-10-07T13:55Z 19.4K followers, 627.5K engagements "I'm working on super tiny neural networks that perform better than the big ones it's kinda insane" [X Link](https://x.com/jm_alexia/status/1967300931973992698) [@jm_alexia](/creator/x/jm_alexia) 2025-09-14T18:54Z 19.3K followers, 246K engagements "Insane finding You train on at most XX improvement steps at training but at inference you do as many steps as possible (448 steps) and you reach crazy accuracy. This is how you build intelligence" [X Link](https://x.com/jm_alexia/status/1982507805979693227) [@jm_alexia](/creator/x/jm_alexia) 2025-10-26T18:01Z 19.4K followers, 67.6K 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.]
@jm_alexia Alexia Jolicoeur-Martineau
Alexia Jolicoeur-Martineau posts on X about neural, blog, the big, number of the most. They currently have XXXXXX followers and XX posts still getting attention that total XXX engagements in the last XX hours.
Engagements: XXX #
- X Week XXXXXX +183%
- X Month XXXXXXX +428%
- X Months XXXXXXX +439%
- X Year XXXXXXXXX -XX%
Mentions: X #
- X Week X no change
- X Month XX +220%
- X Months XX +56%
- X Year XX +96%
Followers: XXXXXX #
- X Week XXXXXX +1.80%
- X Month XXXXXX +42%
- X Months XXXXXX +67%
- X Year XXXXXX +72%
CreatorRank: XXXXXXXXX #
Social Influence #
Social topic influence neural, blog, the big, number of, instead of
Top Social Posts #
Top posts by engagements in the last XX hours
"New paper 📜: Tiny Recursion Model (TRM) is a recursive reasoning approach with a tiny 7M parameters neural network that obtains XX% on ARC-AGI-1 and X% on ARC-AGI-2 beating most LLMs. Blog: Code: Paper:"
X Link @jm_alexia 2025-10-07T13:55Z 19.4K followers, 627.5K engagements
"I'm working on super tiny neural networks that perform better than the big ones it's kinda insane"
X Link @jm_alexia 2025-09-14T18:54Z 19.3K followers, 246K engagements
"Insane finding You train on at most XX improvement steps at training but at inference you do as many steps as possible (448 steps) and you reach crazy accuracy. This is how you build intelligence"
X Link @jm_alexia 2025-10-26T18:01Z 19.4K followers, 67.6K engagements