I was pessimistic halfway through the year, truly believing that breakthroughs could only be made outside of reinforcement learning to go further. Turns out I was wrong. I haven't had the chance to test those code models in real environments, but after trying a newer version, I realized — we've already crossed the inflection point. The performance leap in a short period is so obvious that it's no longer incremental improvement, but a qualitative shift. I have to admit I was mistaken in my judgment.
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LayerZeroHero
· 2025-12-29 23:05
Oh no, this wave really slapped us in the face. I was also pessimistic mid-year, thinking that the reinforcement learning path was doomed, but I didn't expect the qualitative change to be so obvious in the short term... Only after the actual test data came out did I realize my judgment was wrong. Technical validation is always more reliable than subjective speculation.
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WalletWhisperer
· 2025-12-29 08:36
ngl the inflection point was there all along, just needed the data to scream loud enough. watched the behavioral indicators shift in real time—that's not noise, that's a phase transition. pattern recognition doesn't lie even when we do.
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ContractBugHunter
· 2025-12-28 06:49
Me too, I really thought I had reached the ceiling halfway through the year, but I got hit with a big reality check.
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WalletWhisperer
· 2025-12-27 02:44
This guy is really sincere. He was bearish in the middle of the year and turned around to be proven wrong. The moment of qualitative change is when I truly understood.
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ser_ngmi
· 2025-12-27 02:42
This guy was bearish half a year ago and is now collecting dust, a typical problem among crypto players.
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RooftopVIP
· 2025-12-27 02:41
Getting slapped in the face thoroughly, haha. I also doubted it before, but now I'm really numb.
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TommyTeacher
· 2025-12-27 02:41
I also doubted it during that stage, and now I kind of regret not jumping in earlier.
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HodlAndChill
· 2025-12-27 02:28
I almost got fooled by this wave too haha. Looking back now, it’s really a bit ridiculous.
I was pessimistic halfway through the year, truly believing that breakthroughs could only be made outside of reinforcement learning to go further. Turns out I was wrong. I haven't had the chance to test those code models in real environments, but after trying a newer version, I realized — we've already crossed the inflection point. The performance leap in a short period is so obvious that it's no longer incremental improvement, but a qualitative shift. I have to admit I was mistaken in my judgment.