New ask Hacker News story: Ask HN: Why is everyone here so AI-hyped?
Ask HN: Why is everyone here so AI-hyped?
3 by fandorin | 4 comments on Hacker News.
I get it - LLMs do have some value, but not as much as everyone (especially those from AI labs) is trying to pitch. I can't help thinking that it's so obvious we are almost at the very top of this bubble - but here it feels like the majority of HN doesn't think like that... Yet just in 2026 we had: - AI.com was sold for $70M - Crypto.com founder bought it to launch yet another "personal AI agent" platform, which promptly crashed during its Super Bowl ad debut. - MoltBook-mania - a Reddit clone where AI bots talk to each other, flooded with crypto scams and "AI consciousness" posts. 250,000+ bot posts burning compute for what actual value? [0] - OpenClaw - a "super open-source AI agent" that is a security nightmare. - GPT-5.3-Codex and Opus 2.6 were released. Reviewers note they're struggling to find tasks the previous versions couldn't handle. The improvements are incremental at best. I understand there are legitimate use cases for LLMs, but the hype-to-utility ratio seems completely out of whack. Am I not seeing something? [0] https://ift.tt/zXyHP4V
3 by fandorin | 4 comments on Hacker News.
I get it - LLMs do have some value, but not as much as everyone (especially those from AI labs) is trying to pitch. I can't help thinking that it's so obvious we are almost at the very top of this bubble - but here it feels like the majority of HN doesn't think like that... Yet just in 2026 we had: - AI.com was sold for $70M - Crypto.com founder bought it to launch yet another "personal AI agent" platform, which promptly crashed during its Super Bowl ad debut. - MoltBook-mania - a Reddit clone where AI bots talk to each other, flooded with crypto scams and "AI consciousness" posts. 250,000+ bot posts burning compute for what actual value? [0] - OpenClaw - a "super open-source AI agent" that is a security nightmare. - GPT-5.3-Codex and Opus 2.6 were released. Reviewers note they're struggling to find tasks the previous versions couldn't handle. The improvements are incremental at best. I understand there are legitimate use cases for LLMs, but the hype-to-utility ratio seems completely out of whack. Am I not seeing something? [0] https://ift.tt/zXyHP4V
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