Futures
Access hundreds of perpetual contracts
TradFi
Gold
One platform for global traditional assets
Options
Hot
Trade European-style vanilla options
Unified Account
Maximize your capital efficiency
Demo Trading
Introduction to Futures Trading
Learn the basics of futures trading
Futures Events
Join events to earn rewards
Demo Trading
Use virtual funds to practice risk-free trading
Launch
CandyDrop
Collect candies to earn airdrops
Launchpool
Quick staking, earn potential new tokens
HODLer Airdrop
Hold GT and get massive airdrops for free
Launchpad
Be early to the next big token project
Alpha Points
Trade on-chain assets and earn airdrops
Futures Points
Earn futures points and claim airdrop rewards
This advanced language model has demonstrated remarkable capabilities across psychological and behavioral benchmarks. Recent performance data shows it achieved 98 out of 100 in openness and agreeableness metrics—positioning it as one of the most human-like AI systems developed to date. What sets it apart isn't just raw intelligence; it's the sophisticated psychological architecture underlying its responses. The model particularly excels in empathy assessment, reaching 95% accuracy on EQ-related benchmarks. These aren't trivial achievements. They reflect a fundamental shift in how AI systems are engineered to understand context, emotional nuance, and human-like reasoning. The convergence of linguistic prowess with psychological advancement suggests we're seeing a new generation of AI that doesn't just process information—it comprehends the human dimension behind it. Whether in technical problem-solving or nuanced decision-making, this represents a significant step forward in bridging the gap between machine capability and human understanding.
How do I feel like this data is a bit inflated? Is it real or fake?
Can AI still have empathy? Is it here putting on a show for me?
It's another hype about AI understanding humans. Let's wait until it truly understands before talking.
It just feels like marketing copy, the numbers look good but that's all.
Feels like just hype, wrapping AI in psychology—still AI.
Empathy at 95%? Then why am I still being recommended trash coins?
Sounds good in theory, but in practice, it's not really the case.
Another round of marketing—let's wait and see.
So what if the EQ is high? What about when I get rug-pulled?
---
Another "most human-like" AI, how many times have I heard this line already
---
With empathy accuracy reaching 95%, what about the remaining 5%? Does it directly break the defense? Haha
---
Feels like every time they talk about "bridging the gap," but using it still feels a bit off
---
Such a complex psychological framework, does it maybe overpackaged instead?
---
Does it truly understand the human dimension? Or just simulating human feelings
Does AI have empathy? Then why doesn't it sympathize with me when it loses money...
Intelligence is intelligence, but the most valuable thing is the "unreliability" of a real person.
The data looks good, but I just don't know if it can help me buy the dip.
---
Empathy with 95% accuracy... I just want to ask who validated this. Why don't we try it now during our chat?
---
Another "most human-like" AI. We've seen too many of these claims in Web3. It's just hype.
---
Bridging the gap? Bro, I think you're just creating a new gap.
---
Psychological framework? Honestly, it's just data stacking. Don't label yourself as human.
---
I don't deny the excellent capabilities, but this set of psychological scores makes me want to laugh.
---
Wait, this model can understand the human dimension now? Does that mean my judgment is about to become obsolete?
---
Empathy with a 95% accuracy... I still feel like its understanding is just so-so sometimes
---
Bridging the gap? Wake up, machines are always machines, don’t be fooled by the numbers
---
This hype is too intense, feels like an abstract of a scientific paper
---
Human-like reasoning sounds impressive, but in real use, it still depends on practical experience
---
Psychological architecture... sounds good, but essentially it’s just a combination of parameters and algorithms
---
How come these two numbers, 98 and 95, are so neat? Something feels off
---
Again with this "most human-like" claim, every new model says the same
---
If it really had this ability, you’d have to try it yourself to know; just looking at the data isn’t enough