Interesting framing on post-training as continuous rather than a one-off. We've been using AI heavily in building our product and the "trust reset" problem is real - every time you switch contexts or models, institutional knowledge gets lost. How do you think about the quality-speed tradeoff? The most valuable feedback often comes from domain experts who are also the busiest.
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forge your elite AI training force' is an interesting framing. curious what elite actually means in practice here. is it about task specialization or more about how the agents learn from each other
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Interesting product. We use memory for this. And we have two types of memory: one within the chat and one across the entire account to personalize future chats. By the way, in Europe this isn’t simple — you need to comply with GDPR )
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Forsy
A private network for people working in AI training to connect, share insights, and learn from each other.
Huge congrats on the launch — love how Hyta is systematizing trusted, high-signal human feedback for AI post-training at scale.
Brew
Interesting framing on post-training as continuous rather than a one-off. We've been using AI heavily in building our product and the "trust reset" problem is real - every time you switch contexts or models, institutional knowledge gets lost. How do you think about the quality-speed tradeoff? The most valuable feedback often comes from domain experts who are also the busiest.
forge your elite AI training force' is an interesting framing. curious what elite actually means in practice here. is it about task specialization or more about how the agents learn from each other
Interesting product. We use memory for this. And we have two types of memory: one within the chat and one across the entire account to personalize future chats. By the way, in Europe this isn’t simple — you need to comply with GDPR )