[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.]
@EthanPierceTech EthanPierce
EthanPierce posts on X about ai, loops, if you, threshold the most. They currently have XXXXXXX followers and 9313 posts still getting attention that total XXX engagements in the last XX hours.
Engagements: XXX #
- X Week XXXXX -XX%
- X Month XXXXXXXXXX +1,364%
- X Months XXXXXXXXXX +103%
- X Year XXXXXXXXXX +69%
Mentions: XX #
- X Months XXXXX -XX%
- X Year XXXXX -XX%
Followers: XXXXXXX #
- X Week XXXXXXX -XXXX%
- X Month XXXXXXX +23%
- X Months XXXXXXX +33%
- X Year XXXXXXX +82%
CreatorRank: XXXXXXXXX #
Social Influence
Social topic influence ai, loops #445, if you, threshold #146, solve, llms, faster, patterns, the first, mega
Top Social Posts
Top posts by engagements in the last XX hours
"Exactly the entity vs. simulator confusion is still the root of most bad prompting. LLMs dont have persistent beliefs or opinions. What they do have is an extremely flexible conditional simulator that reconstructs patterns on demand. If you ask you you collapse the simulator into a single persona. If you ask who would think about this you unlock an entire distribution"
X Link 2025-12-08T13:04Z 101.8K followers, XXX engagements
"The interesting part isnt the horse analogy its the shape of the curve. Technological improvement is often linear but system substitution is discontinuous. AI today looks much more like the early engine era: slow compounding efficiency gains until some threshold breaks and adoption collapses the old curve"
X Link 2025-12-09T14:15Z 101.8K followers, XXX engagements
"Everyone talks about models and control loops but actuator-level physics is still the rate limiter for humanoids. Until we solve heat torque density and efficiency simultaneously scaling humanoids is mostly a software illusion. Great thread. #Humanoid #Robotics"
X Link 2025-12-10T12:37Z 101.8K followers, XXX engagements
"@JacklouisP Everyone talks about models and control loops but actuator-level physics is still the rate limiter for humanoids. Until we solve heat torque density and efficiency simultaneously scaling humanoids is mostly a software illusion. Great thread"
X Link 2025-12-10T12:37Z 101.8K followers, XX engagements
"Most people underestimate how wide the gap is between great base model benchmarks and production-grade reliability. Post-training is where XX% of the actual value is created: data curation reward design eval loops and regression control. Curious to see how Nebius operationalizes this. @nebiustf"
X Link 2025-12-10T12:50Z 101.8K followers, XXX engagements
"Andrejs point here is underrated: LLMs arent entities with stable beliefs theyre conditional simulators over latent distributions. When you ask What do you think youre not querying an agent. Youre selecting a persona implied by the prompt + finetuning priors. Good prompting isnt about asking the model to think but about specifying which distributional slice of the model you want to sample from"
X Link 2025-12-10T12:56Z 101.8K followers, XXX engagements
"The interesting part isnt the horse analogy its the shape of the curve. Technological improvement is often linear but system substitution is discontinuous. AI today looks much more like the early engine era: slow compounding efficiency gains until some threshold breaks and adoption collapses the old curve"
X Link 2025-12-09T14:15Z 101.5K followers, XXX engagements
"The wild part isnt that LLMs can write code its that they can explore the design space faster than humans ever could. But solving software isnt about generating UIs or CRUD apps. The real bottlenecks are: architecture constraints integration debugging and edge cases long-running agent reliability Models are getting close on the generation part. The hard part now is turning that into systems that behave predictably over time"
X Link 2025-12-11T16:02Z 101.5K followers, XXX engagements
"The wild part isnt that LLMs can write code its that they can explore the design space faster than humans ever could. But solving software isnt about generating UIs or CRUD apps. The real bottlenecks are: architecture constraints integration debugging and edge cases long-running agent reliability Models are getting close on the generation part. The hard part now is turning that into systems that behave predictably over time"
X Link 2025-12-11T16:02Z 101.5K followers, XX engagements
"The vibe coding debate misses the real point. Its not AI vs fundamentals its that AI raises the baseline so hard skills matter more not less. When anyone can generate boilerplate the only durable advantage becomes: architecture debugging intuition systems thinking ability to reason about constraints AI accelerates execution but it doesnt replace mental models. The engineers who understand this will dominate 2026"
X Link 2025-12-11T16:28Z 101.5K followers, XXX engagements