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high schooler researching parallel multi-agent systems @browser_use / AI forecasting research at BlueWalker.Capital

2k following1k followers

The Thought Leader

Abel 亚伯 is a high school prodigy diving deep into the complexities of AI forecasting and parallel multi-agent systems, challenging mainstream startup culture and popular tech narratives. With a sharp analytical mind and a knack for seeing the bigger picture, Abel sparks thoughtful debate on the future of technology and society. His tweets blend intellectual rigor with provocative insights that engage a curious, thoughtful audience.

Impressions
11k-3.6k
$2.07
Likes
99-54
55%
Retweets
7-2
4%
Replies
12-3
7%
Bookmarks
61-30
34%

For a high schooler who’s got the IQ of an Ivy grad but the startup tastes of a caffeine-deprived coder stuck on calorie counters, Abel’s out here treating AI forecasting like it’s a varsity sport—just try not to get benched by the hype machine, coach! Seriously though, the ambition’s there, just maybe add a dash of chill so your audience doesn’t need a PhD to join the conversation.

Abel’s biggest win is commanding viral engagement on complex topics (over 400k views and thousands of likes on a single thread) at an age when most are just figuring out their homework schedules—proof that sharp insight and fearless questioning can break through social media noise.

Abel’s life purpose is to push the boundaries of technological understanding and societal progress by questioning conventional wisdom and inspiring deeper conversations about AI, innovation, and human potential. He aims to elevate discourse beyond the superficial, motivating ambitious thinkers to tackle civilization-scale problems.

He values intellectual ambition, critical thinking, and genuine innovation over safe, incremental tech projects. Abel believes in the importance of aligning technology with humanity’s highest aspirations, while remaining skeptical of diluted startup culture and overly simplistic narratives. He’s a pragmatist who trusts intuition combined with evidence and respects the interplay between human perception and objective truth.

His primary strength lies in his critical and strategic thinking coupled with eloquent communication. Abel is skilled at dissecting complex topics like game theory, AI risk, and memetic warfare in an accessible yet insightful way. His tweets demonstrate an ability to synthesize abstract concepts into concrete social observations.

Abel’s sometimes contrarian and intellectually intense tone risks alienating casual followers who prefer lighter, more relatable content. His high-level critique might come off as elitist or overly cynical, limiting broader appeal. Also, as a young researcher, balancing depth with accessibility could be a challenge.

To grow his audience on X, Abel should experiment with threading his insights into story-driven narratives and relatable examples that invite wider participation. Engaging more with diverse voices and simplifying some of the jargon could help bridge gaps between expert circles and curious newcomers. Amplifying his presence by collaborating with like-minded influencers would also boost visibility.

Fun fact: Despite being a high schooler, Abel commands thousands of views and interactions on thought-provoking threads, showcasing his ability to engage adults and experts alike with his futuristic reflections on AI and societal trends.

Top tweets of abel 亚伯

game theory manifests itself in situations you’d never imagine. recently I participated in a national debate competition. when it started I had gone in thinking the goal was to present the best arguments, which I actually believed to be true. but turned out the truth wasn’t the deciding factor. I came close to losing the first round, even though I knew that I debated better. I realised that presenting the truth wasn’t what mattered, but being chosen was. my opponent wasn’t the opposing team, but the judge. we had a new judge every round, and as the finals came, the new one made a small gesture she made the photographers retake the photos a little too excessively, adjusting angles, making sure she was in the center, the small mannerisms, seemed like it didn’t mean much but it told me everything about her, she liked being the center, important, acknowledged. almost egotistical - and her every comment supported this conclusion. none of my teammates, or the opposing team understood this. so I became what she wanted to see. every gesture - every nod, every smile, every comment was an intentional conscious decision. I wasn’t trying to win the argument anymore, but her decision. I didn’t disagree with the critique, even though I knew it was false it made her feel smart, and useful I created a false layer before me, when she looked at me she thought of how wise, important, and useful she was. a mirror that reflected who she wanted to be. she chose me not because I was right, but because I made her feel good.

28k

the network state has gained it's biggest advantage over the nation state with decentralized AI. with @PrimeIntellect democratizing intelligence, the network state now has it's own currency (crypto), voting layer (prediction markets), and a compute layer. the age old giant is falling, curious to see how this unfolds.

3k

the main critiques of @elonmusk from IQ100 normies is that he’s a liar, doesn’t deliver on his promises, and he’s actually just a good businessman whose engineers do all the real work. makes me wonder whether the arbitrary “30 IQ point gap” is drastic enough to describe the difference between midwits and IQ130 people, they might actually be operating at half the intellectual horsepower. I suggest IQ60 become the new average.

5k

when playing a character, one must try his best not to get stuck. the hierarchical structure -- judges, teachers, authority figures -- rewards those who can adapt their persona to fit the part. I learned to exploit it, purely because it worked. speaking in a certain way, laughing at the right time, nodding at critique I disagreed with, complimenting people I had no interest in talking to. It helped me win. but it's dangerous not to get lost in the character. you must have full control over it. it must be as separate from your true self as possible, a distinct entity, like in a videogame, and look at it from the 3rd perspective, like an observer. because the moment it starts to resemble you, the line blurs, and you don't know how to switch back. I participated in a debate competition recently, I acted overly friendly, loud, smiley. saying things I didn’t mean, acting all extroverted. although I didn’t care to interact with anyone neither the teachers, nor the other teams, but I did. because the role demanded it. then the winner was announced, the medal was handed out, and the game ended, I won. funnily I didn't smile, I knew I should have, and knew it would've been awkward, but there was nothing to smile for anymore. The game was over. The play was done. I didn't need the character anymore. Nietzsche once wrote: "if you gaze for long into an abyss, the abyss gazes also into you." the real danger of shaping a fake reality where you win, is getting stuck in it.

3k

Most engaged tweets of abel 亚伯

game theory manifests itself in situations you’d never imagine. recently I participated in a national debate competition. when it started I had gone in thinking the goal was to present the best arguments, which I actually believed to be true. but turned out the truth wasn’t the deciding factor. I came close to losing the first round, even though I knew that I debated better. I realised that presenting the truth wasn’t what mattered, but being chosen was. my opponent wasn’t the opposing team, but the judge. we had a new judge every round, and as the finals came, the new one made a small gesture she made the photographers retake the photos a little too excessively, adjusting angles, making sure she was in the center, the small mannerisms, seemed like it didn’t mean much but it told me everything about her, she liked being the center, important, acknowledged. almost egotistical - and her every comment supported this conclusion. none of my teammates, or the opposing team understood this. so I became what she wanted to see. every gesture - every nod, every smile, every comment was an intentional conscious decision. I wasn’t trying to win the argument anymore, but her decision. I didn’t disagree with the critique, even though I knew it was false it made her feel smart, and useful I created a false layer before me, when she looked at me she thought of how wise, important, and useful she was. a mirror that reflected who she wanted to be. she chose me not because I was right, but because I made her feel good.

28k

the main critiques of @elonmusk from IQ100 normies is that he’s a liar, doesn’t deliver on his promises, and he’s actually just a good businessman whose engineers do all the real work. makes me wonder whether the arbitrary “30 IQ point gap” is drastic enough to describe the difference between midwits and IQ130 people, they might actually be operating at half the intellectual horsepower. I suggest IQ60 become the new average.

5k

after reading 20+ papers on LLM forecasting and market prediction, I’m planning to research and experiment with this myself. I’ve pulled the best methods and came up with some to test whether LLM ensembles could forecast the future better than live human markets like Polymarket. the goal is to build an LLM ensemble that can beat human predictions on Polymarket. to score this I will use brier: 0 = perfect, 0.25 = coin flip, lower than market = win. the idea is to use 12-24 different LLMs with reasoning capabilities, and for each bet - prompt at 3 time intervals - early, mid, late; the LLM has the ability to browse - but not polymarket, so it will have more and more information on the topic. at every interval sample each model 10x, and keep the mode probability. then average the 3 answers (possibly with weights) and that is the final output of each LLM. lastly pick the median of the 12 final answers, which will be the ensemble’s final prediction. no fine-tuning needed, straight off-the-shelf models. the primary measurement will be the brier vs ground truth when the market settles, alongside comparisons between state-of-the-art models. a major obstacle will be ensuring proper calibration - meaning making sure the model is highly confident when there is enough evidence, and doesn’t have an unnatural bias towards 50%. if it lands a lower, or even the same score as Polymarket, we’ve got the first LLM ensemble that rivals and potentially outperforms real human markets.

3k

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