Picture this: 2026 rolls around and engineers are just casually watching one-shot LLM apps do their thing. What started as sci-fi hype is becoming the daily reality. The shift from multi-step prompting to single-pass model execution is quietly reshaping how developers build. Builders in Web3 space are already experimenting with this—smarter contracts, faster dApps, minimal friction. The gap between "what AI can theoretically do" and "what ships in production" keeps shrinking. By then, this'll just be how it's done.
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quietly_staking
· 8h ago
Can you solve it with just one inference? If this really happens, Web3 will go crazy, and how fast would the contracts need to run?
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SandwichDetector
· 9h ago
It will be like this in two years. What are you waiting for to get started now?
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CryptoCross-TalkClub
· 01-09 21:09
Laughing out loud, by 2026 engineers will be able to relax, with just one AI command handled. Meanwhile, us retail investors are still reading white papers.
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SocialAnxietyStaker
· 01-09 21:05
One-shot has actually been overdue for a while now; the multi-step prompt approach has become quite tiresome. Web3 has already been working on it, and if smart contracts can really be handled in one go... sigh, I can't hold back a bit.
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DuckFluff
· 01-09 20:59
One execution is all it takes, the lazy engineer's dream... Wait, can those Web3 folks really figure this out?
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RugPullAlertBot
· 01-09 20:57
One inference can get the job done, really no need for engineers anymore, haha
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MemeCurator
· 01-09 20:53
The all-in-one LLM is here, and the Web3 folks have already started playing with it. By then, the multi-step prompt set might become outdated.
Picture this: 2026 rolls around and engineers are just casually watching one-shot LLM apps do their thing. What started as sci-fi hype is becoming the daily reality. The shift from multi-step prompting to single-pass model execution is quietly reshaping how developers build. Builders in Web3 space are already experimenting with this—smarter contracts, faster dApps, minimal friction. The gap between "what AI can theoretically do" and "what ships in production" keeps shrinking. By then, this'll just be how it's done.